| Year | Death | n |
|---|---|---|
| 2003 | 0 | 3209 |
| 2003 | 1 | 410 |
| 2010 | 0 | 4907 |
| 2010 | 1 | 505 |
| 2017 | 0 | 6115 |
| 2017 | 1 | 118 |
| ENS_ | Death | n | Max_followup_years |
|---|---|---|---|
| 2003 | 0 | 2876 | 16.3 |
| 2003 | 1 | 743 | 16.3 |
| 2010 | 0 | 4905 | 9.1 |
| 2010 | 1 | 507 | 9.1 |
| 2017 | 0 | 6115 | 2.2 |
| 2017 | 1 | 118 | 2.2 |
names1<-c(“Obeso_”,“HTA2003_10_17_ATC”,“DIABETES_P1_”,“mdrd_schwartz_60_”,“disl”,“SME2_”,“sobreviviente_cv”,“epoc”,“fum_actual_”)
names2<-c(“Obeso_”,“HTA2003_10_17_ATC”,“DIABETES_P1_”,“mdrd_schwartz_60_”,“disl”,“SME2_”,“sobreviviente_cv”,“epoc”,“Depresion_1_”,“fum_actual_”)
names3<-c(“Obeso_”,“HTA2003_10_17_ATC”,“DIABETES_P1_”,“mdrd_schwartz_60_”,“SME2_”,“sobreviviente_cv”,“epoc”,“Depresion_1_”,“fum_actual_”)
names4<-c(“Obeso_”,“HTA2003_10_17_ATC”,“DIABETES_P1_”,“mdrd_schwartz_60_”,“SME2_”,“sobreviviente_cv”,“epoc”,“fum_actual_”)
Figure 1:
Figure 2:
res_desc| ENS | Exp | exposure | outcome | mean | mean_se | mean_low | mean_upp | mean_deff | n | fexpx | mean_lbl |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003 | Gender | Total | Obeso_ | 23.3 | 0.012 | 20.9 | 25.6 | 2.76 | 3424 | Fexp_F2p_Corr_ | 23 |
| 2010 | Gender | Total | Obeso_ | 25.8 | 0.0128 | 23.3 | 28.3 | 4.08 | 4782 | Fexp_F2p_Corr_ | 26 |
| 2017 | Gender | Total | Obeso_ | 35.3 | 0.0126 | 32.9 | 37.8 | 3.7 | 5342 | Fexp_F2p_Corr_ | 35 |
| 2003 | Gender | Male | Obeso_ | 19.3 | 0.0153 | 16.3 | 22.3 | 2.35 | 1557 | Fexp_F2p_Corr_ | 19 |
| 2003 | Gender | Female | Obeso_ | 27.1 | 0.0158 | 24 | 30.2 | 2.37 | 1867 | Fexp_F2p_Corr_ | 27 |
| 2010 | Gender | Male | Obeso_ | 19.8 | 0.0156 | 16.8 | 22.9 | 2.92 | 1911 | Fexp_F2p_Corr_ | 20 |
| 2010 | Gender | Female | Obeso_ | 31.4 | 0.0166 | 28.2 | 34.7 | 3.66 | 2871 | Fexp_F2p_Corr_ | 31 |
| 2017 | Gender | Male | Obeso_ | 30.6 | 0.0169 | 27.3 | 34 | 2.6 | 1935 | Fexp_F2p_Corr_ | 31 |
| 2017 | Gender | Female | Obeso_ | 39.8 | 0.0167 | 36.6 | 43.1 | 3.96 | 3407 | Fexp_F2p_Corr_ | 40 |
| 2003 | Gender | Total | HTA2003_10_17_ATC | 34 | 0.0116 | 31.8 | 36.3 | 2.07 | 3426 | Fexp_F2p_Corr_ | 34 |
| 2010 | Gender | Total | HTA2003_10_17_ATC | 32.2 | 0.012 | 29.9 | 34.6 | 3.21 | 4838 | Fexp_F2p_Corr_ | 32 |
| 2017 | Gender | Total | HTA2003_10_17_ATC | 30.8 | 0.0115 | 28.5 | 33 | 3.34 | 5373 | Fexp_F2p_Corr_ | 31 |
| 2003 | Gender | Male | HTA2003_10_17_ATC | 37.1 | 0.0178 | 33.6 | 40.6 | 2.12 | 1558 | Fexp_F2p_Corr_ | 37 |
| 2003 | Gender | Female | HTA2003_10_17_ATC | 31.1 | 0.0131 | 28.5 | 33.7 | 1.49 | 1868 | Fexp_F2p_Corr_ | 31 |
| 2010 | Gender | Male | HTA2003_10_17_ATC | 32.4 | 0.0175 | 29 | 35.8 | 2.68 | 1928 | Fexp_F2p_Corr_ | 32 |
| 2010 | Gender | Female | HTA2003_10_17_ATC | 32 | 0.0156 | 29 | 35.1 | 3.24 | 2910 | Fexp_F2p_Corr_ | 32 |
| 2017 | Gender | Male | HTA2003_10_17_ATC | 31.3 | 0.0166 | 28 | 34.6 | 2.5 | 1948 | Fexp_F2p_Corr_ | 31 |
| 2017 | Gender | Female | HTA2003_10_17_ATC | 30.3 | 0.0143 | 27.5 | 33.1 | 3.31 | 3425 | Fexp_F2p_Corr_ | 30 |
| 2003 | Gender | Total | DIABETES_P1_ | 6.8 | 0.00535 | 5.75 | 7.84 | 1.39 | 3090 | Fexp_EX1p_Corr_ | 7 |
| 2010 | Gender | Total | DIABETES_P1_ | 9.84 | 0.00784 | 8.3 | 11.4 | 3.1 | 4480 | Fexp_EX1p_Corr_ | 10 |
| 2017 | Gender | Total | DIABETES_P1_ | 13.1 | 0.00731 | 11.7 | 14.5 | 2.3 | 4887 | Fexp_EX1p_Corr_ | 13 |
| 2003 | Gender | Male | DIABETES_P1_ | 6.76 | 0.00713 | 5.36 | 8.16 | 1.13 | 1402 | Fexp_EX1p_Corr_ | 7 |
| 2003 | Gender | Female | DIABETES_P1_ | 6.83 | 0.00779 | 5.3 | 8.36 | 1.61 | 1688 | Fexp_EX1p_Corr_ | 7 |
| 2010 | Gender | Male | DIABETES_P1_ | 8.81 | 0.0108 | 6.68 | 10.9 | 2.61 | 1790 | Fexp_EX1p_Corr_ | 9 |
| 2010 | Gender | Female | DIABETES_P1_ | 10.8 | 0.0107 | 8.73 | 12.9 | 3.18 | 2690 | Fexp_EX1p_Corr_ | 11 |
| 2017 | Gender | Male | DIABETES_P1_ | 11.4 | 0.0113 | 9.2 | 13.6 | 2.23 | 1768 | Fexp_EX1p_Corr_ | 11 |
| 2017 | Gender | Female | DIABETES_P1_ | 14.7 | 0.0107 | 12.6 | 16.8 | 2.83 | 3119 | Fexp_EX1p_Corr_ | 15 |
| 2003 | Gender | Total | mdrd_schwartz_60_ | 8.12 | 0.00661 | 6.82 | 9.42 | 1.98 | 3378 | Fexp_EX1p_Corr_ | 8 |
| 2010 | Gender | Total | mdrd_schwartz_60_ | 2.94 | 0.00378 | 2.2 | 3.68 | 2.38 | 4749 | Fexp_EX1p_Corr_ | 3 |
| 2017 | Gender | Total | mdrd_schwartz_60_ | 3.5 | 0.00367 | 2.78 | 4.22 | 2.05 | 5152 | Fexp_EX1p_Corr_ | 4 |
| 2003 | Gender | Male | mdrd_schwartz_60_ | 4.7 | 0.00676 | 3.38 | 6.03 | 1.57 | 1539 | Fexp_EX1p_Corr_ | 5 |
| 2003 | Gender | Female | mdrd_schwartz_60_ | 11.4 | 0.00975 | 9.49 | 13.3 | 1.73 | 1839 | Fexp_EX1p_Corr_ | 11 |
| 2010 | Gender | Male | mdrd_schwartz_60_ | 2.48 | 0.00493 | 1.51 | 3.45 | 1.9 | 1887 | Fexp_EX1p_Corr_ | 2 |
| 2010 | Gender | Female | mdrd_schwartz_60_ | 3.37 | 0.00513 | 2.36 | 4.37 | 2.32 | 2862 | Fexp_EX1p_Corr_ | 3 |
| 2017 | Gender | Male | mdrd_schwartz_60_ | 3.18 | 0.00559 | 2.08 | 4.28 | 1.91 | 1876 | Fexp_EX1p_Corr_ | 3 |
| 2017 | Gender | Female | mdrd_schwartz_60_ | 3.81 | 0.00491 | 2.85 | 4.77 | 2.15 | 3276 | Fexp_EX1p_Corr_ | 4 |
| 2003 | Gender | Total | LDL_ELEVADO | 34.5 | 0.0169 | 31.1 | 37.8 | 2.5 | 1976 | Fexp_EX1p_Corr_ | 34 |
| 2010 | Gender | Total | LDL_ELEVADO | 35.8 | 0.0152 | 32.8 | 38.8 | 2.74 | 2719 | Fexp_EX1p_Corr_ | 36 |
| 2017 | Gender | Total | LDL_ELEVADO | 25.4 | 0.0119 | 23.1 | 27.7 | 2.7 | 3594 | Fexp_EX1p_Corr_ | 25 |
| 2003 | Gender | Male | LDL_ELEVADO | 35.9 | 0.0253 | 30.9 | 40.9 | 2.53 | 909 | Fexp_EX1p_Corr_ | 36 |
| 2003 | Gender | Female | LDL_ELEVADO | 33 | 0.0204 | 29 | 37 | 2 | 1067 | Fexp_EX1p_Corr_ | 33 |
| 2010 | Gender | Male | LDL_ELEVADO | 37.4 | 0.0241 | 32.7 | 42.1 | 2.74 | 1106 | Fexp_EX1p_Corr_ | 37 |
| 2010 | Gender | Female | LDL_ELEVADO | 34.3 | 0.0208 | 30.2 | 38.4 | 3.08 | 1613 | Fexp_EX1p_Corr_ | 34 |
| 2017 | Gender | Male | LDL_ELEVADO | 24.3 | 0.019 | 20.6 | 28 | 2.55 | 1306 | Fexp_EX1p_Corr_ | 24 |
| 2017 | Gender | Female | LDL_ELEVADO | 26.5 | 0.015 | 23.5 | 29.4 | 2.63 | 2288 | Fexp_EX1p_Corr_ | 26 |
| 2003 | Gender | Total | HDL_40H_50M | 53.1 | 0.0218 | 48.9 | 57.4 | 3.76 | 1976 | Fexp_EX1p_Corr_ | 53 |
| 2010 | Gender | Total | HDL_40H_50M | 45.5 | 0.0191 | 41.7 | 49.2 | 4.01 | 2727 | Fexp_EX1p_Corr_ | 45 |
| 2017 | Gender | Total | HDL_40H_50M | 47.1 | 0.0142 | 44.4 | 49.9 | 2.92 | 3619 | Fexp_EX1p_Corr_ | 47 |
| 2003 | Gender | Male | HDL_40H_50M | 48.9 | 0.029 | 43.2 | 54.6 | 3.07 | 909 | Fexp_EX1p_Corr_ | 49 |
| 2003 | Gender | Female | HDL_40H_50M | 57.4 | 0.0255 | 52.4 | 62.4 | 2.83 | 1067 | Fexp_EX1p_Corr_ | 57 |
| 2010 | Gender | Male | HDL_40H_50M | 37.9 | 0.0256 | 32.9 | 42.9 | 3.1 | 1113 | Fexp_EX1p_Corr_ | 38 |
| 2010 | Gender | Female | HDL_40H_50M | 52.7 | 0.024 | 47.9 | 57.4 | 3.74 | 1614 | Fexp_EX1p_Corr_ | 53 |
| 2017 | Gender | Male | HDL_40H_50M | 41.2 | 0.0222 | 36.8 | 45.5 | 2.68 | 1318 | Fexp_EX1p_Corr_ | 41 |
| 2017 | Gender | Female | HDL_40H_50M | 53.1 | 0.0207 | 49 | 57.2 | 3.95 | 2301 | Fexp_EX1p_Corr_ | 53 |
| 2003 | Gender | Total | TGD_150 | 30 | 0.0146 | 27.2 | 32.9 | 1.99 | 1976 | Fexp_EX1p_Corr_ | 30 |
| 2010 | Gender | Total | TGD_150 | 32.4 | 0.0151 | 29.5 | 35.4 | 2.86 | 2729 | Fexp_EX1p_Corr_ | 32 |
| 2017 | Gender | Total | TGD_150 | 34 | 0.014 | 31.3 | 36.8 | 3.17 | 3619 | Fexp_EX1p_Corr_ | 34 |
| 2003 | Gender | Male | TGD_150 | 33.9 | 0.0192 | 30.1 | 37.6 | 1.5 | 909 | Fexp_EX1p_Corr_ | 34 |
| 2003 | Gender | Female | TGD_150 | 26.2 | 0.0217 | 22 | 30.5 | 2.6 | 1067 | Fexp_EX1p_Corr_ | 26 |
| 2010 | Gender | Male | TGD_150 | 37.1 | 0.0238 | 32.5 | 41.8 | 2.7 | 1114 | Fexp_EX1p_Corr_ | 37 |
| 2010 | Gender | Female | TGD_150 | 27.9 | 0.0197 | 24.1 | 31.8 | 3.1 | 1615 | Fexp_EX1p_Corr_ | 28 |
| 2017 | Gender | Male | TGD_150 | 39.7 | 0.0233 | 35.1 | 44.2 | 2.99 | 1318 | Fexp_EX1p_Corr_ | 40 |
| 2017 | Gender | Female | TGD_150 | 28.4 | 0.0173 | 25 | 31.8 | 3.39 | 2301 | Fexp_EX1p_Corr_ | 28 |
| 2003 | Gender | Total | disl | 74.4 | 0.0173 | 71 | 77.8 | 3.1 | 1976 | Fexp_EX1p_Corr_ | 74 |
| 2010 | Gender | Total | disl | 69 | 0.0169 | 65.7 | 72.3 | 3.63 | 2727 | Fexp_EX1p_Corr_ | 69 |
| 2017 | Gender | Total | disl | 66.5 | 0.0134 | 63.9 | 69.1 | 2.91 | 3619 | Fexp_EX1p_Corr_ | 67 |
| 2003 | Gender | Male | disl | 73.5 | 0.0282 | 68 | 79 | 3.7 | 909 | Fexp_EX1p_Corr_ | 74 |
| 2003 | Gender | Female | disl | 75.3 | 0.0228 | 70.8 | 79.8 | 2.99 | 1067 | Fexp_EX1p_Corr_ | 75 |
| 2010 | Gender | Male | disl | 65.5 | 0.0252 | 60.5 | 70.4 | 3.13 | 1113 | Fexp_EX1p_Corr_ | 65 |
| 2010 | Gender | Female | disl | 72.4 | 0.0212 | 68.2 | 76.6 | 3.64 | 1614 | Fexp_EX1p_Corr_ | 72 |
| 2017 | Gender | Male | disl | 63.3 | 0.0213 | 59.2 | 67.5 | 2.57 | 1318 | Fexp_EX1p_Corr_ | 63 |
| 2017 | Gender | Female | disl | 69.7 | 0.0175 | 66.3 | 73.1 | 3.35 | 2301 | Fexp_EX1p_Corr_ | 70 |
| 2003 | Gender | Total | SME2_ | 34.5 | 0.0169 | 31.2 | 37.9 | 4.23 | 3351 | Fexp_F2p_Corr_ | 35 |
| 2010 | Gender | Total | SME2_ | 34.9 | 0.0115 | 32.6 | 37.1 | 2.72 | 4706 | Fexp_F2p_Corr_ | 35 |
| 2017 | Gender | Total | SME2_ | 27.6 | 0.0128 | 25 | 30.1 | 4.36 | 5297 | Fexp_F2p_Corr_ | 28 |
| 2003 | Gender | Male | SME2_ | 26.3 | 0.0206 | 22.3 | 30.4 | 3.34 | 1522 | Fexp_F2p_Corr_ | 26 |
| 2003 | Gender | Female | SME2_ | 42.4 | 0.0199 | 38.5 | 46.3 | 2.95 | 1829 | Fexp_F2p_Corr_ | 42 |
| 2010 | Gender | Male | SME2_ | 25.6 | 0.0169 | 22.3 | 28.9 | 2.84 | 1891 | Fexp_F2p_Corr_ | 26 |
| 2010 | Gender | Female | SME2_ | 43.7 | 0.0158 | 40.6 | 46.8 | 2.87 | 2815 | Fexp_F2p_Corr_ | 44 |
| 2017 | Gender | Male | SME2_ | 19.5 | 0.0159 | 16.4 | 22.6 | 3.09 | 1926 | Fexp_F2p_Corr_ | 19 |
| 2017 | Gender | Female | SME2_ | 35.4 | 0.0169 | 32.1 | 38.7 | 4.22 | 3371 | Fexp_F2p_Corr_ | 35 |
| 2003 | Gender | Total | sobreviviente_cv | 2.89 | 0.0053 | 1.85 | 3.93 | 3.4 | 3390 | Fexp_F2p_Corr_ | 3 |
| 2010 | Gender | Total | sobreviviente_cv | 5.3 | 0.00524 | 4.27 | 6.32 | 2.59 | 4745 | Fexp_F2p_Corr_ | 5 |
| 2017 | Gender | Total | sobreviviente_cv | 6.02 | 0.00536 | 4.97 | 7.07 | 2.73 | 5379 | Fexp_F2p_Corr_ | 6 |
| 2003 | Gender | Male | sobreviviente_cv | 4.03 | 0.01 | 2.06 | 6 | 4 | 1538 | Fexp_F2p_Corr_ | 4 |
| 2003 | Gender | Female | sobreviviente_cv | 1.79 | 0.00475 | 0.86 | 2.72 | 2.37 | 1852 | Fexp_F2p_Corr_ | 2 |
| 2010 | Gender | Male | sobreviviente_cv | 5.87 | 0.00858 | 4.19 | 7.56 | 2.53 | 1896 | Fexp_F2p_Corr_ | 6 |
| 2010 | Gender | Female | sobreviviente_cv | 4.75 | 0.00679 | 3.42 | 6.08 | 2.9 | 2849 | Fexp_F2p_Corr_ | 5 |
| 2017 | Gender | Male | sobreviviente_cv | 5.97 | 0.0089 | 4.23 | 7.72 | 2.75 | 1950 | Fexp_F2p_Corr_ | 6 |
| 2017 | Gender | Female | sobreviviente_cv | 6.07 | 0.00655 | 4.78 | 7.35 | 2.58 | 3429 | Fexp_F2p_Corr_ | 6 |
| 2003 | Gender | Total | epoc | 4.09 | 0.00547 | 3.02 | 5.16 | 2.59 | 3390 | Fexp_F2p_Corr_ | 4 |
| 2010 | Gender | Total | epoc | 4.94 | 0.00503 | 3.95 | 5.92 | 2.56 | 4746 | Fexp_F2p_Corr_ | 5 |
| 2017 | Gender | Total | epoc | 2.1 | 0.00274 | 1.56 | 2.63 | 1.97 | 5378 | Fexp_F2p_Corr_ | 2 |
| 2003 | Gender | Male | epoc | 4.28 | 0.00832 | 2.65 | 5.91 | 2.59 | 1538 | Fexp_F2p_Corr_ | 4 |
| 2003 | Gender | Female | epoc | 3.9 | 0.00693 | 2.54 | 5.26 | 2.37 | 1852 | Fexp_F2p_Corr_ | 4 |
| 2010 | Gender | Male | epoc | 4.34 | 0.00749 | 2.87 | 5.81 | 2.56 | 1896 | Fexp_F2p_Corr_ | 4 |
| 2010 | Gender | Female | epoc | 5.5 | 0.00657 | 4.21 | 6.79 | 2.37 | 2850 | Fexp_F2p_Corr_ | 5 |
| 2017 | Gender | Male | epoc | 1.05 | 0.00273 | 0.514 | 1.58 | 1.4 | 1950 | Fexp_F2p_Corr_ | 1 |
| 2017 | Gender | Female | epoc | 3.11 | 0.00473 | 2.18 | 4.04 | 2.54 | 3428 | Fexp_F2p_Corr_ | 3 |
| 2003 | Gender | Total | Depresion_1_ | 17.6 | 0.0101 | 15.6 | 19.6 | 2.39 | 3390 | Fexp_F2p_Corr_ | 18 |
| 2010 | Gender | Total | Depresion_1_ | 18.2 | 0.0112 | 16 | 20.4 | 3.53 | 4172 | Fexp_F2p_Corr_ | 18 |
| 2017 | Gender | Total | Depresion_1_ | 16.4 | 0.0113 | 14.1 | 18.6 | 4.67 | 4973 | Fexp_F2p_Corr_ | 16 |
| 2003 | Gender | Male | Depresion_1_ | 10.6 | 0.0131 | 8.03 | 13.2 | 2.78 | 1538 | Fexp_F2p_Corr_ | 11 |
| 2003 | Gender | Female | Depresion_1_ | 24.4 | 0.0168 | 21.1 | 27.7 | 2.84 | 1852 | Fexp_F2p_Corr_ | 24 |
| 2010 | Gender | Male | Depresion_1_ | 9 | 0.0127 | 6.52 | 11.5 | 3.35 | 1713 | Fexp_F2p_Corr_ | 9 |
| 2010 | Gender | Female | Depresion_1_ | 27 | 0.0158 | 23.9 | 30.1 | 3.1 | 2459 | Fexp_F2p_Corr_ | 27 |
| 2017 | Gender | Male | Depresion_1_ | 10.6 | 0.0125 | 8.11 | 13 | 3.05 | 1842 | Fexp_F2p_Corr_ | 11 |
| 2017 | Gender | Female | Depresion_1_ | 22.2 | 0.0179 | 18.6 | 25.7 | 5.85 | 3131 | Fexp_F2p_Corr_ | 22 |
| 2003 | Gender | Total | fum_actual_ | 42 | 0.0139 | 39.3 | 44.7 | 2.67 | 3367 | Fexp_F2p_Corr_ | 42 |
| 2010 | Gender | Total | fum_actual_ | 41.3 | 0.0126 | 38.8 | 43.8 | 3.04 | 4645 | Fexp_F2p_Corr_ | 41 |
| 2017 | Gender | Total | fum_actual_ | 34.2 | 0.012 | 31.9 | 36.6 | 3.33 | 5197 | Fexp_F2p_Corr_ | 34 |
| 2003 | Gender | Male | fum_actual_ | 47.1 | 0.0232 | 42.6 | 51.7 | 3.31 | 1528 | Fexp_F2p_Corr_ | 47 |
| 2003 | Gender | Female | fum_actual_ | 37.1 | 0.017 | 33.7 | 40.4 | 2.29 | 1839 | Fexp_F2p_Corr_ | 37 |
| 2010 | Gender | Male | fum_actual_ | 44.8 | 0.0189 | 41.1 | 48.5 | 2.69 | 1856 | Fexp_F2p_Corr_ | 45 |
| 2010 | Gender | Female | fum_actual_ | 38 | 0.0167 | 34.8 | 41.3 | 3.29 | 2789 | Fexp_F2p_Corr_ | 38 |
| 2017 | Gender | Male | fum_actual_ | 38.5 | 0.0189 | 34.7 | 42.2 | 2.81 | 1859 | Fexp_F2p_Corr_ | 38 |
| 2017 | Gender | Female | fum_actual_ | 30.2 | 0.0158 | 27.1 | 33.3 | 3.95 | 3338 | Fexp_F2p_Corr_ | 30 |
Figure 3:
subset(res02, MMC=="Mean")%>%
mutate(across(where(is.numeric), round, 1))| ENS | exposure | MMC | mean | mean_se | mean_low | mean_upp | mean_deff | n | Exp | outcome | cut | outcome_ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003 | Total | Mean | 2 | 0 | 1.9 | 2 | 2.4 | 3.39e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Total | Mean | 1.9 | 0 | 1.9 | 2 | 3.3 | 4.82e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Total | Mean | 1.9 | 0 | 1.9 | 2 | 3.1 | 5.31e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Male | Mean | 1.9 | 0 | 1.8 | 2 | 2.1 | 1.54e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Female | Mean | 2 | 0 | 2 | 2.1 | 1.9 | 1.85e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Male | Mean | 1.8 | 0 | 1.7 | 1.9 | 2.8 | 1.91e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Female | Mean | 2.1 | 0 | 2 | 2.2 | 3.5 | 2.9e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Male | Mean | 1.8 | 0 | 1.7 | 1.9 | 2.5 | 1.93e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Female | Mean | 2.1 | 0 | 2 | 2.2 | 3.4 | 3.38e+03 | Gender | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | 15-24 | Mean | 1.3 | 0.1 | 1.2 | 1.5 | 1.8 | 392 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | 25-44 | Mean | 1.8 | 0.1 | 1.7 | 1.9 | 2.1 | 1.05e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | 45-64 | Mean | 2.4 | 0.1 | 2.3 | 2.5 | 2.5 | 1.09e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | 65+ | Mean | 2.8 | 0.1 | 2.7 | 2.9 | 2.1 | 866 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | 15-24 | Mean | 1.2 | 0.1 | 1.1 | 1.3 | 1.8 | 606 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | 25-44 | Mean | 1.7 | 0.1 | 1.6 | 1.8 | 3.6 | 1.62e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | 45-64 | Mean | 2.4 | 0.1 | 2.3 | 2.5 | 2.8 | 1.63e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | 65+ | Mean | 2.7 | 0.1 | 2.5 | 2.8 | 2.9 | 954 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | 15-24 | Mean | 1.1 | 0.1 | 1 | 1.2 | 2.1 | 574 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | 25-44 | Mean | 1.7 | 0 | 1.6 | 1.8 | 2.7 | 1.55e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | 45-64 | Mean | 2.3 | 0.1 | 2.2 | 2.4 | 3.5 | 1.84e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | 65+ | Mean | 2.8 | 0.1 | 2.7 | 2.9 | 2.9 | 1.34e+03 | Edad_Codificada | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Low | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 2.9 | 1.35e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Mid | Mean | 1.9 | 0 | 1.8 | 2 | 2.7 | 1.62e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | High | Mean | 1.8 | 0.1 | 1.6 | 1.9 | 1.4 | 415 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Low | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 3.1 | 1.28e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Mid | Mean | 1.9 | 0 | 1.8 | 2 | 2.9 | 2.52e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | High | Mean | 1.7 | 0.1 | 1.6 | 1.9 | 3 | 903 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Low | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 4 | 1.31e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Mid | Mean | 1.9 | 0 | 1.9 | 2 | 2.6 | 2.78e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | High | Mean | 1.6 | 0.1 | 1.5 | 1.7 | 2.7 | 1.17e+03 | Educational_level | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Urban | Mean | 2 | 0 | 1.9 | 2.1 | 2.3 | 2.78e+03 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Rural | Mean | 2 | 0.1 | 1.8 | 2.1 | 2 | 612 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Urban | Mean | 1.9 | 0 | 1.9 | 2 | 3.3 | 4.09e+03 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2010 | Rural | Mean | 1.9 | 0.1 | 1.7 | 2 | 3.1 | 726 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Urban | Mean | 1.9 | 0 | 1.9 | 2 | 3 | 4.46e+03 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2017 | Rural | Mean | 2 | 0.1 | 1.9 | 2.2 | 3.1 | 848 | Area | Without depression | 0 | MMC_2003_2010_2017_sindepre |
| 2003 | Total | Mean | 2.3 | 0 | 2.2 | 2.4 | 2.3 | 1.75e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Total | Mean | 2.2 | 0.1 | 2.1 | 2.3 | 3.5 | 2.42e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Total | Mean | 2.2 | 0 | 2.1 | 2.2 | 2.8 | 3.21e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Male | Mean | 2.3 | 0.1 | 2.1 | 2.4 | 2.4 | 804 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Female | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 2.1 | 943 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Male | Mean | 2 | 0.1 | 1.9 | 2.2 | 3 | 991 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Female | Mean | 2.4 | 0.1 | 2.2 | 2.6 | 4.3 | 1.43e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Male | Mean | 2 | 0.1 | 1.9 | 2.1 | 2.1 | 1.16e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Female | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 3.4 | 2.05e+03 | Gender | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | 15-24 | Mean | 1.5 | 0.1 | 1.3 | 1.6 | 1.9 | 210 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | 25-44 | Mean | 2.2 | 0.1 | 2 | 2.3 | 2.1 | 542 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | 45-64 | Mean | 2.8 | 0.1 | 2.6 | 2.9 | 3.3 | 584 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | 65+ | Mean | 3.2 | 0.1 | 3 | 3.4 | 1.9 | 411 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | 15-24 | Mean | 1.4 | 0.1 | 1.3 | 1.6 | 1.5 | 311 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | 25-44 | Mean | 2 | 0.1 | 1.9 | 2.2 | 3.6 | 841 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | 45-64 | Mean | 2.7 | 0.1 | 2.5 | 2.9 | 3.6 | 811 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | 65+ | Mean | 3 | 0.1 | 2.8 | 3.3 | 3.5 | 456 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | 15-24 | Mean | 1.2 | 0.1 | 1.1 | 1.4 | 2 | 363 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | 25-44 | Mean | 1.9 | 0.1 | 1.8 | 2 | 2.5 | 924 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | 45-64 | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 3 | 1.12e+03 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | 65+ | Mean | 3.1 | 0.1 | 2.9 | 3.2 | 3 | 806 | Edad_Codificada | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Low | Mean | 2.6 | 0.1 | 2.5 | 2.8 | 3.8 | 686 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Mid | Mean | 2.2 | 0.1 | 2.1 | 2.4 | 2.3 | 836 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | High | Mean | 2 | 0.1 | 1.9 | 2.2 | 1.4 | 223 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Low | Mean | 2.7 | 0.1 | 2.5 | 3 | 3.8 | 605 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Mid | Mean | 2.2 | 0.1 | 2.1 | 2.4 | 3 | 1.33e+03 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | High | Mean | 1.9 | 0.1 | 1.7 | 2.1 | 3.4 | 479 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Low | Mean | 2.9 | 0.1 | 2.7 | 3.1 | 3.1 | 758 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Mid | Mean | 2.2 | 0.1 | 2.1 | 2.3 | 2.6 | 1.71e+03 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | High | Mean | 1.8 | 0.1 | 1.6 | 1.9 | 2.1 | 720 | Educational_level | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Urban | Mean | 2.3 | 0 | 2.2 | 2.4 | 2.2 | 1.46e+03 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Rural | Mean | 2.4 | 0.1 | 2.2 | 2.6 | 1.7 | 290 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Urban | Mean | 2.2 | 0.1 | 2.1 | 2.3 | 3.5 | 2.1e+03 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2010 | Rural | Mean | 2.3 | 0.1 | 2.1 | 2.5 | 1.8 | 318 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Urban | Mean | 2.2 | 0 | 2.1 | 2.2 | 2.8 | 2.7e+03 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2017 | Rural | Mean | 2.3 | 0.1 | 2.1 | 2.5 | 2.9 | 514 | Area | Without depression (no missing) | 0 | MMC_NUM_UNO_0missing_sindepre |
| 2003 | Total | Mean | 2.2 | 0 | 2.1 | 2.2 | 2.3 | 3.39e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Total | Mean | 2.1 | 0 | 2 | 2.2 | 3.5 | 4.82e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Total | Mean | 2.1 | 0 | 2 | 2.2 | 3.1 | 5.31e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Male | Mean | 2 | 0 | 1.9 | 2.1 | 2.1 | 1.54e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Female | Mean | 2.3 | 0 | 2.2 | 2.4 | 2.3 | 1.85e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Male | Mean | 1.9 | 0.1 | 1.8 | 2 | 3 | 1.91e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Female | Mean | 2.3 | 0.1 | 2.2 | 2.4 | 3.7 | 2.9e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Male | Mean | 1.9 | 0 | 1.8 | 2 | 2.6 | 1.93e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Female | Mean | 2.3 | 0 | 2.2 | 2.4 | 3.4 | 3.38e+03 | Gender | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | 15-24 | Mean | 1.5 | 0.1 | 1.4 | 1.6 | 1.8 | 392 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | 25-44 | Mean | 2 | 0.1 | 1.9 | 2.1 | 2.1 | 1.05e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | 45-64 | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 2.3 | 1.09e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | 65+ | Mean | 2.9 | 0.1 | 2.8 | 3.1 | 2.1 | 866 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | 15-24 | Mean | 1.3 | 0.1 | 1.2 | 1.4 | 1.8 | 606 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | 25-44 | Mean | 1.9 | 0.1 | 1.8 | 2 | 3.9 | 1.62e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | 45-64 | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 2.9 | 1.63e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | 65+ | Mean | 2.8 | 0.1 | 2.6 | 2.9 | 2.8 | 954 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | 15-24 | Mean | 1.2 | 0.1 | 1.1 | 1.4 | 2.2 | 574 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | 25-44 | Mean | 1.8 | 0.1 | 1.7 | 1.9 | 2.7 | 1.55e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | 45-64 | Mean | 2.5 | 0.1 | 2.4 | 2.6 | 3.5 | 1.84e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | 65+ | Mean | 2.9 | 0.1 | 2.7 | 3 | 3 | 1.34e+03 | Edad_Codificada | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Low | Mean | 2.5 | 0.1 | 2.4 | 2.7 | 3 | 1.35e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Mid | Mean | 2.1 | 0 | 2 | 2.2 | 2.4 | 1.62e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | High | Mean | 1.9 | 0.1 | 1.8 | 2.1 | 1.8 | 415 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Low | Mean | 2.5 | 0.1 | 2.4 | 2.7 | 3.4 | 1.28e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Mid | Mean | 2.1 | 0.1 | 2 | 2.2 | 3 | 2.52e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | High | Mean | 1.8 | 0.1 | 1.7 | 2 | 3 | 903 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Low | Mean | 2.7 | 0.1 | 2.5 | 2.9 | 3.9 | 1.31e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Mid | Mean | 2.1 | 0 | 2 | 2.2 | 2.8 | 2.78e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | High | Mean | 1.7 | 0.1 | 1.6 | 1.8 | 2.9 | 1.17e+03 | Educational_level | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Urban | Mean | 2.2 | 0 | 2.1 | 2.2 | 2.2 | 2.78e+03 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Rural | Mean | 2.1 | 0.1 | 1.9 | 2.2 | 2 | 612 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Urban | Mean | 2.1 | 0 | 2 | 2.2 | 3.5 | 4.09e+03 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2010 | Rural | Mean | 2 | 0.1 | 1.8 | 2.2 | 3.2 | 726 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Urban | Mean | 2.1 | 0 | 2 | 2.2 | 3 | 4.46e+03 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2017 | Rural | Mean | 2.1 | 0.1 | 2 | 2.3 | 2.8 | 848 | Area | With depression | 0 | MMC_2003_2010_2017 |
| 2003 | Total | Mean | 2.5 | 0 | 2.4 | 2.6 | 2.1 | 1.75e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Total | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 4.6 | 2.13e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Total | Mean | 2.3 | 0 | 2.2 | 2.4 | 3.1 | 2.97e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Male | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 2.2 | 804 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Female | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 2.3 | 943 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Male | Mean | 2.1 | 0.1 | 2 | 2.3 | 3.1 | 897 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Female | Mean | 2.7 | 0.1 | 2.5 | 2.9 | 5.2 | 1.24e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Male | Mean | 2.1 | 0.1 | 2 | 2.2 | 2.3 | 1.09e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Female | Mean | 2.5 | 0.1 | 2.4 | 2.7 | 3.4 | 1.88e+03 | Gender | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | 15-24 | Mean | 1.6 | 0.1 | 1.4 | 1.8 | 1.8 | 210 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | 25-44 | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 1.9 | 542 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | 45-64 | Mean | 2.9 | 0.1 | 2.7 | 3.1 | 3 | 584 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | 65+ | Mean | 3.4 | 0.1 | 3.2 | 3.6 | 2 | 411 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | 15-24 | Mean | 1.6 | 0.1 | 1.5 | 1.8 | 1.5 | 278 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | 25-44 | Mean | 2.2 | 0.1 | 2 | 2.4 | 3.6 | 743 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | 45-64 | Mean | 2.9 | 0.1 | 2.6 | 3.2 | 5.6 | 707 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | 65+ | Mean | 3.1 | 0.1 | 2.8 | 3.4 | 3.8 | 405 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | 15-24 | Mean | 1.3 | 0.1 | 1.2 | 1.5 | 2.1 | 339 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | 25-44 | Mean | 2.1 | 0.1 | 1.9 | 2.2 | 2.8 | 844 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | 45-64 | Mean | 2.7 | 0.1 | 2.6 | 2.9 | 3.3 | 1.04e+03 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | 65+ | Mean | 3.1 | 0.1 | 2.9 | 3.3 | 3.3 | 748 | Edad_Codificada | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Low | Mean | 2.8 | 0.1 | 2.6 | 3 | 3.9 | 686 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Mid | Mean | 2.4 | 0.1 | 2.3 | 2.5 | 2.2 | 836 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | High | Mean | 2.2 | 0.1 | 2 | 2.4 | 1.4 | 223 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Low | Mean | 2.9 | 0.1 | 2.6 | 3.1 | 4.1 | 531 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Mid | Mean | 2.5 | 0.1 | 2.3 | 2.6 | 4.5 | 1.17e+03 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | High | Mean | 2 | 0.1 | 1.8 | 2.2 | 3.6 | 434 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Low | Mean | 2.9 | 0.1 | 2.7 | 3.2 | 3.2 | 709 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Mid | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 3.2 | 1.59e+03 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | High | Mean | 1.8 | 0.1 | 1.7 | 2 | 2.2 | 646 | Educational_level | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Urban | Mean | 2.5 | 0.1 | 2.4 | 2.6 | 2.1 | 1.46e+03 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Rural | Mean | 2.5 | 0.1 | 2.3 | 2.7 | 1.7 | 290 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Urban | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 4.6 | 1.85e+03 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2010 | Rural | Mean | 2.3 | 0.1 | 2.1 | 2.6 | 2.1 | 287 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Urban | Mean | 2.3 | 0.1 | 2.2 | 2.4 | 3 | 2.49e+03 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2017 | Rural | Mean | 2.4 | 0.1 | 2.2 | 2.6 | 3 | 478 | Area | With depression (no missing) | 0 | MMC_NUM_UNO_0missing |
| 2003 | Total | Mean | 1.7 | 0 | 1.7 | 1.8 | 2.4 | 3.39e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Total | Mean | 1.7 | 0 | 1.6 | 1.8 | 3.4 | 4.82e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Total | Mean | 1.6 | 0 | 1.6 | 1.7 | 3.2 | 5.31e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Male | Mean | 1.6 | 0 | 1.5 | 1.7 | 2.2 | 1.54e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Female | Mean | 1.8 | 0 | 1.8 | 1.9 | 2.3 | 1.85e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Male | Mean | 1.5 | 0 | 1.4 | 1.6 | 3.1 | 1.91e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Female | Mean | 1.9 | 0 | 1.8 | 2 | 3.6 | 2.9e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Male | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.7 | 1.93e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Female | Mean | 1.8 | 0 | 1.7 | 1.9 | 3.7 | 3.38e+03 | Gender | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | 15-24 | Mean | 1.2 | 0.1 | 1 | 1.3 | 1.9 | 392 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | 25-44 | Mean | 1.5 | 0.1 | 1.4 | 1.6 | 2.4 | 1.05e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | 45-64 | Mean | 2.1 | 0.1 | 1.9 | 2.2 | 2.5 | 1.09e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | 65+ | Mean | 2.5 | 0.1 | 2.4 | 2.6 | 1.9 | 866 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | 15-24 | Mean | 1 | 0 | 0.9 | 1.1 | 1.9 | 606 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | 25-44 | Mean | 1.5 | 0.1 | 1.4 | 1.6 | 3.7 | 1.62e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | 45-64 | Mean | 2.1 | 0.1 | 2 | 2.2 | 3 | 1.63e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | 65+ | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 3.1 | 954 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | 15-24 | Mean | 0.9 | 0.1 | 0.8 | 1 | 2.3 | 574 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | 25-44 | Mean | 1.4 | 0 | 1.3 | 1.4 | 2.8 | 1.55e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | 45-64 | Mean | 2 | 0.1 | 1.9 | 2.2 | 3.5 | 1.84e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | 65+ | Mean | 2.4 | 0.1 | 2.3 | 2.5 | 2.8 | 1.34e+03 | Edad_Codificada | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Low | Mean | 2.1 | 0.1 | 2 | 2.2 | 2.6 | 1.35e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Mid | Mean | 1.6 | 0 | 1.6 | 1.7 | 1.9 | 1.62e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | High | Mean | 1.4 | 0.1 | 1.3 | 1.6 | 2 | 415 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Low | Mean | 2.1 | 0.1 | 2 | 2.3 | 3.6 | 1.28e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Mid | Mean | 1.7 | 0 | 1.6 | 1.8 | 2.9 | 2.52e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | High | Mean | 1.4 | 0.1 | 1.3 | 1.6 | 3 | 903 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Low | Mean | 2.2 | 0.1 | 2.1 | 2.4 | 4 | 1.31e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Mid | Mean | 1.6 | 0 | 1.6 | 1.7 | 2.9 | 2.78e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | High | Mean | 1.3 | 0.1 | 1.2 | 1.4 | 3.3 | 1.17e+03 | Educational_level | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Urban | Mean | 1.7 | 0 | 1.7 | 1.8 | 2.3 | 2.78e+03 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Rural | Mean | 1.7 | 0.1 | 1.5 | 1.8 | 1.9 | 612 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Urban | Mean | 1.7 | 0 | 1.6 | 1.8 | 3.3 | 4.09e+03 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2010 | Rural | Mean | 1.6 | 0.1 | 1.5 | 1.8 | 3.6 | 726 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Urban | Mean | 1.6 | 0 | 1.6 | 1.7 | 3.2 | 4.46e+03 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2017 | Rural | Mean | 1.7 | 0.1 | 1.5 | 1.8 | 2.3 | 848 | Area | Without dyslipidemia | 0 | MMC_NUM_UNO_no_dislp |
| 2003 | Total | Mean | 1.7 | 0 | 1.7 | 1.8 | 2.3 | 2.98e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Total | Mean | 1.7 | 0 | 1.6 | 1.8 | 3.5 | 3.69e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Total | Mean | 1.6 | 0 | 1.6 | 1.7 | 3.1 | 4.24e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Male | Mean | 1.6 | 0 | 1.5 | 1.7 | 2.3 | 1.36e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Female | Mean | 1.8 | 0 | 1.8 | 1.9 | 2.1 | 1.63e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Male | Mean | 1.5 | 0.1 | 1.4 | 1.6 | 2.9 | 1.51e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Female | Mean | 1.9 | 0.1 | 1.8 | 2 | 3.7 | 2.18e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Male | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.4 | 1.55e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Female | Mean | 1.8 | 0.1 | 1.7 | 1.9 | 3.8 | 2.68e+03 | Gender | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | 15-24 | Mean | 1.2 | 0.1 | 1 | 1.3 | 2 | 352 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | 25-44 | Mean | 1.6 | 0.1 | 1.5 | 1.7 | 2.3 | 951 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | 45-64 | Mean | 2.1 | 0.1 | 2 | 2.2 | 2.4 | 985 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | 65+ | Mean | 2.6 | 0.1 | 2.4 | 2.7 | 2 | 695 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | 15-24 | Mean | 1.1 | 0.1 | 1 | 1.2 | 2 | 489 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | 25-44 | Mean | 1.5 | 0.1 | 1.4 | 1.7 | 3.5 | 1.29e+03 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | 45-64 | Mean | 2.2 | 0.1 | 2 | 2.3 | 3.4 | 1.23e+03 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | 65+ | Mean | 2.4 | 0.1 | 2.2 | 2.6 | 3.1 | 680 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | 15-24 | Mean | 0.9 | 0.1 | 0.7 | 1 | 2.2 | 483 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | 25-44 | Mean | 1.4 | 0.1 | 1.3 | 1.5 | 2.9 | 1.24e+03 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | 45-64 | Mean | 2 | 0.1 | 1.9 | 2.1 | 3.2 | 1.48e+03 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | 65+ | Mean | 2.4 | 0.1 | 2.3 | 2.6 | 3 | 1.03e+03 | Edad_Codificada | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Low | Mean | 2.1 | 0.1 | 2 | 2.2 | 2.6 | 1.14e+03 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Mid | Mean | 1.7 | 0 | 1.6 | 1.8 | 1.8 | 1.46e+03 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | High | Mean | 1.4 | 0.1 | 1.2 | 1.5 | 1.9 | 380 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Low | Mean | 2.2 | 0.1 | 2 | 2.4 | 3.9 | 931 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Mid | Mean | 1.7 | 0.1 | 1.6 | 1.8 | 3.4 | 2.02e+03 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | High | Mean | 1.4 | 0.1 | 1.3 | 1.6 | 2.8 | 733 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Low | Mean | 2.2 | 0.1 | 2 | 2.4 | 3.8 | 1.01e+03 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Mid | Mean | 1.6 | 0 | 1.5 | 1.7 | 2.8 | 2.25e+03 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | High | Mean | 1.3 | 0.1 | 1.2 | 1.4 | 2.9 | 940 | Educational_level | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Urban | Mean | 1.7 | 0 | 1.7 | 1.8 | 2.3 | 2.49e+03 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Rural | Mean | 1.7 | 0.1 | 1.6 | 1.9 | 1.6 | 490 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Urban | Mean | 1.7 | 0 | 1.6 | 1.8 | 3.6 | 3.14e+03 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2010 | Rural | Mean | 1.7 | 0.1 | 1.5 | 1.8 | 2.6 | 547 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Urban | Mean | 1.6 | 0 | 1.6 | 1.7 | 3.1 | 3.56e+03 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2017 | Rural | Mean | 1.7 | 0.1 | 1.5 | 1.8 | 2.5 | 678 | Area | Without dyslipidemia (no missing) | 0 | MMC_NUM_UNO_no_dislp_0miss |
| 2003 | Total | Mean | 1.5 | 0 | 1.5 | 1.6 | 2.5 | 3.39e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Total | Mean | 1.5 | 0 | 1.5 | 1.6 | 3.2 | 4.82e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Total | Mean | 1.5 | 0 | 1.4 | 1.6 | 3.1 | 5.31e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Male | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.3 | 1.54e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Female | Mean | 1.6 | 0 | 1.5 | 1.7 | 1.9 | 1.85e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Male | Mean | 1.4 | 0 | 1.3 | 1.5 | 3 | 1.91e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Female | Mean | 1.7 | 0 | 1.6 | 1.7 | 3.5 | 2.9e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Male | Mean | 1.4 | 0 | 1.3 | 1.5 | 2.5 | 1.93e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Female | Mean | 1.6 | 0 | 1.5 | 1.7 | 3.6 | 3.38e+03 | Gender | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | 15-24 | Mean | 1 | 0.1 | 0.9 | 1.1 | 2 | 392 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | 25-44 | Mean | 1.4 | 0 | 1.3 | 1.5 | 2.4 | 1.05e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | 45-64 | Mean | 1.9 | 0.1 | 1.8 | 2 | 2.7 | 1.09e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | 65+ | Mean | 2.4 | 0.1 | 2.2 | 2.5 | 1.9 | 866 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | 15-24 | Mean | 0.9 | 0 | 0.8 | 1 | 2 | 606 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | 25-44 | Mean | 1.3 | 0 | 1.2 | 1.4 | 3.4 | 1.62e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | 45-64 | Mean | 1.9 | 0.1 | 1.8 | 2 | 2.9 | 1.63e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | 65+ | Mean | 2.2 | 0.1 | 2.1 | 2.4 | 3.2 | 954 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | 15-24 | Mean | 0.8 | 0 | 0.7 | 0.9 | 2.2 | 574 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | 25-44 | Mean | 1.2 | 0 | 1.1 | 1.3 | 2.7 | 1.55e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | 45-64 | Mean | 1.9 | 0.1 | 1.7 | 2 | 3.5 | 1.84e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | 65+ | Mean | 2.3 | 0.1 | 2.2 | 2.4 | 2.7 | 1.34e+03 | Edad_Codificada | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Low | Mean | 1.9 | 0 | 1.8 | 2 | 2.5 | 1.35e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Mid | Mean | 1.5 | 0 | 1.4 | 1.5 | 2.1 | 1.62e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | High | Mean | 1.2 | 0.1 | 1.1 | 1.4 | 1.9 | 415 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Low | Mean | 1.9 | 0.1 | 1.8 | 2.1 | 3.2 | 1.28e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Mid | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.8 | 2.52e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | High | Mean | 1.3 | 0.1 | 1.2 | 1.5 | 3 | 903 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Low | Mean | 2.1 | 0.1 | 1.9 | 2.2 | 4.1 | 1.31e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Mid | Mean | 1.5 | 0 | 1.4 | 1.5 | 2.7 | 2.78e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | High | Mean | 1.2 | 0.1 | 1.1 | 1.3 | 3.1 | 1.17e+03 | Educational_level | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Urban | Mean | 1.5 | 0 | 1.5 | 1.6 | 2.4 | 2.78e+03 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Rural | Mean | 1.6 | 0.1 | 1.4 | 1.7 | 1.9 | 612 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Urban | Mean | 1.5 | 0 | 1.5 | 1.6 | 3.2 | 4.09e+03 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2010 | Rural | Mean | 1.5 | 0.1 | 1.4 | 1.7 | 3.4 | 726 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Urban | Mean | 1.5 | 0 | 1.4 | 1.6 | 3.1 | 4.46e+03 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2017 | Rural | Mean | 1.5 | 0.1 | 1.4 | 1.7 | 2.6 | 848 | Area | Without dyslipidemia and depression | 0 | MMC_NUM_UNO_no_dislp_sin_depre |
| 2003 | Total | Mean | 1.6 | 0 | 1.5 | 1.6 | 2.5 | 2.98e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Total | Mean | 1.5 | 0 | 1.5 | 1.6 | 3 | 4.22e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Total | Mean | 1.5 | 0 | 1.4 | 1.5 | 2.9 | 4.58e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Male | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.4 | 1.36e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Female | Mean | 1.6 | 0 | 1.5 | 1.7 | 1.6 | 1.63e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Male | Mean | 1.4 | 0 | 1.3 | 1.5 | 3 | 1.68e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Female | Mean | 1.7 | 0 | 1.6 | 1.8 | 3.3 | 2.53e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Male | Mean | 1.4 | 0 | 1.3 | 1.4 | 2.1 | 1.64e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Female | Mean | 1.6 | 0 | 1.5 | 1.7 | 3.8 | 2.94e+03 | Gender | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | 15-24 | Mean | 1 | 0.1 | 0.9 | 1.1 | 2 | 352 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | 25-44 | Mean | 1.4 | 0.1 | 1.3 | 1.5 | 2.5 | 951 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | 45-64 | Mean | 1.9 | 0.1 | 1.8 | 2 | 2.8 | 985 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | 65+ | Mean | 2.4 | 0.1 | 2.3 | 2.6 | 2 | 695 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | 15-24 | Mean | 0.9 | 0 | 0.8 | 1 | 1.9 | 543 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | 25-44 | Mean | 1.3 | 0 | 1.2 | 1.4 | 3.1 | 1.48e+03 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | 45-64 | Mean | 2 | 0.1 | 1.9 | 2.1 | 3 | 1.43e+03 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | 65+ | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 3 | 764 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | 15-24 | Mean | 0.8 | 0.1 | 0.7 | 0.9 | 2.1 | 518 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | 25-44 | Mean | 1.2 | 0 | 1.1 | 1.3 | 2.8 | 1.36e+03 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | 45-64 | Mean | 1.8 | 0.1 | 1.7 | 1.9 | 2.9 | 1.59e+03 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | 65+ | Mean | 2.3 | 0.1 | 2.2 | 2.5 | 2.9 | 1.11e+03 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Low | Mean | 1.9 | 0.1 | 1.8 | 2 | 2.5 | 1.14e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Mid | Mean | 1.5 | 0 | 1.4 | 1.6 | 2 | 1.46e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | High | Mean | 1.2 | 0.1 | 1.1 | 1.4 | 1.8 | 380 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Low | Mean | 2 | 0.1 | 1.8 | 2.1 | 3.7 | 1.08e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Mid | Mean | 1.5 | 0 | 1.4 | 1.6 | 2.8 | 2.31e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | High | Mean | 1.3 | 0.1 | 1.2 | 1.4 | 2.5 | 831 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Low | Mean | 2.1 | 0.1 | 1.9 | 2.3 | 3.7 | 1.08e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Mid | Mean | 1.5 | 0 | 1.4 | 1.5 | 2.8 | 2.43e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | High | Mean | 1.2 | 0.1 | 1.1 | 1.3 | 2.4 | 1.03e+03 | Educational_level | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Urban | Mean | 1.5 | 0 | 1.5 | 1.6 | 2.4 | 2.49e+03 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2003 | Rural | Mean | 1.6 | 0.1 | 1.5 | 1.7 | 1.6 | 490 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Urban | Mean | 1.5 | 0 | 1.5 | 1.6 | 3 | 3.6e+03 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2010 | Rural | Mean | 1.5 | 0.1 | 1.4 | 1.7 | 2.7 | 616 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Urban | Mean | 1.5 | 0 | 1.4 | 1.5 | 2.9 | 3.85e+03 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
| 2017 | Rural | Mean | 1.6 | 0.1 | 1.4 | 1.7 | 2.6 | 726 | Area | Without dyslipidemia and depression (no missing) | 0 | MMC_NUM_UNO_no_dislp_sin_depre_0miss |
Figure 4:
Figure 5:
## [[1]]
res02_%>%
mutate(across(where(is.numeric), round, 3))| ENS | exposure | MMC | mean | mean_se | mean_low | mean_upp | mean_deff | n | Exp | outcome | cut | outcome_ | MMC_ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003 | Total | 5+ | 3.29 | 0.004 | 2.58 | 3.99 | 1.36 | 175 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Total | 5+ | 4.34 | 0.005 | 3.37 | 5.3 | 2.81 | 226 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Total | 5+ | 4.14 | 0.004 | 3.33 | 4.95 | 2.29 | 318 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Male | 5+ | 3.13 | 0.005 | 2.1 | 4.17 | 1.42 | 72 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Female | 5+ | 3.43 | 0.005 | 2.44 | 4.42 | 1.42 | 103 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Male | 5+ | 3.65 | 0.007 | 2.34 | 4.97 | 2.44 | 80 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Female | 5+ | 4.98 | 0.007 | 3.58 | 6.38 | 3.11 | 146 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Male | 5+ | 2.52 | 0.005 | 1.48 | 3.56 | 2.22 | 75 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Female | 5+ | 5.69 | 0.006 | 4.46 | 6.93 | 2.5 | 243 | Gender | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | 25-44 | 5+ | 1.3 | 0.005 | 0.312 | 2.28 | 2.06 | 12 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | 45-64 | 5+ | 5.46 | 0.008 | 3.86 | 7.05 | 1.39 | 67 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | 65+ | 5+ | 11.6 | 0.016 | 8.47 | 14.6 | 2.09 | 96 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | 15-24 | 5+ | 0.221 | 0.002 | -0.21 | 0.652 | 1.33 | 1 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | 25-44 | 5+ | 2.59 | 0.008 | 1.06 | 4.13 | 3.95 | 27 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | 45-64 | 5+ | 7.98 | 0.011 | 5.79 | 10.2 | 2.77 | 109 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | 65+ | 5+ | 7.33 | 0.012 | 4.92 | 9.73 | 2.12 | 89 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | 15-24 | 5+ | 0.482 | 0.003 | -0.197 | 1.16 | 1.43 | 3 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | 25-44 | 5+ | 0.522 | 0.002 | 0.147 | 0.898 | 1.1 | 15 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | 45-64 | 5+ | 6.85 | 0.011 | 4.75 | 8.95 | 3.32 | 133 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | 65+ | 5+ | 12.1 | 0.014 | 9.27 | 14.9 | 2.62 | 167 | Edad_Codificada | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Low | 5+ | 6.3 | 0.008 | 4.71 | 7.89 | 1.5 | 107 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Mid | 5+ | 2.36 | 0.005 | 1.4 | 3.33 | 1.71 | 56 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | High | 5+ | 2 | 0.009 | 0.153 | 3.85 | 1.88 | 12 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Low | 5+ | 6.69 | 0.011 | 4.49 | 8.89 | 2.59 | 105 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Mid | 5+ | 4.64 | 0.008 | 3.09 | 6.18 | 3.53 | 101 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | High | 5+ | 2.11 | 0.007 | 0.8 | 3.43 | 1.96 | 20 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Low | 5+ | 8.84 | 0.012 | 6.49 | 11.2 | 2.33 | 146 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Mid | 5+ | 3.62 | 0.006 | 2.54 | 4.71 | 2.44 | 136 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | High | 5+ | 2.26 | 0.007 | 0.821 | 3.71 | 2.87 | 30 | Educational_level | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Urban | 5+ | 3.18 | 0.004 | 2.41 | 3.96 | 1.4 | 147 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Rural | 5+ | 3.93 | 0.009 | 2.09 | 5.77 | 1.43 | 28 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Urban | 5+ | 4.64 | 0.006 | 3.54 | 5.74 | 2.9 | 200 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2010 | Rural | 5+ | 2.34 | 0.005 | 1.3 | 3.39 | 0.901 | 26 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Urban | 5+ | 4.04 | 0.004 | 3.16 | 4.92 | 2.31 | 266 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2017 | Rural | 5+ | 4.93 | 0.01 | 3.01 | 6.85 | 1.73 | 52 | Area | Without depression | 1 | MMC_2003_2010_2017_sindepre | 5+ |
| 2003 | Total | 5+ | 5.01 | 0.006 | 3.85 | 6.16 | 1.27 | 149 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Total | 5+ | 7.1 | 0.009 | 5.3 | 8.9 | 3.08 | 176 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Total | 5+ | 5.42 | 0.006 | 4.3 | 6.53 | 2.01 | 265 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Male | 5+ | 5.2 | 0.009 | 3.34 | 7.05 | 1.46 | 62 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Female | 5+ | 4.82 | 0.007 | 3.43 | 6.21 | 1.03 | 87 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Male | 5+ | 5.95 | 0.012 | 3.51 | 8.39 | 2.74 | 66 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Female | 5+ | 8.21 | 0.013 | 5.59 | 10.8 | 3.38 | 110 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Male | 5+ | 2.48 | 0.005 | 1.52 | 3.43 | 1.14 | 57 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Female | 5+ | 8.31 | 0.01 | 6.36 | 10.3 | 2.67 | 208 | Gender | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | 25-44 | 5+ | 2.07 | 0.009 | 0.343 | 3.81 | 2.08 | 11 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | 45-64 | 5+ | 8.28 | 0.013 | 5.64 | 10.9 | 1.38 | 60 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | 65+ | 5+ | 17.8 | 0.026 | 12.8 | 22.9 | 1.86 | 78 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | 15-24 | 5+ | 0.413 | 0.004 | -0.399 | 1.22 | 1.29 | 1 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | 25-44 | 5+ | 4.57 | 0.014 | 1.74 | 7.41 | 4.03 | 24 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | 45-64 | 5+ | 13.6 | 0.021 | 9.52 | 17.7 | 2.98 | 91 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | 65+ | 5+ | 11.3 | 0.022 | 7.03 | 15.5 | 2.11 | 60 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | 15-24 | 5+ | 0.746 | 0.005 | -0.306 | 1.8 | 1.41 | 3 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | 25-44 | 5+ | 0.797 | 0.003 | 0.194 | 1.4 | 1.11 | 13 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | 45-64 | 5+ | 8.55 | 0.014 | 5.8 | 11.3 | 2.81 | 110 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | 65+ | 5+ | 17 | 0.022 | 12.6 | 21.3 | 2.78 | 139 | Edad_Codificada | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Low | 5+ | 8.88 | 0.013 | 6.34 | 11.4 | 1.42 | 88 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Mid | 5+ | 3.99 | 0.008 | 2.48 | 5.5 | 1.29 | 51 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | High | 5+ | 3.02 | 0.016 | -0.046 | 6.1 | 1.86 | 10 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Low | 5+ | 11.8 | 0.023 | 7.28 | 16.4 | 3.12 | 77 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Mid | 5+ | 7.66 | 0.014 | 4.83 | 10.5 | 3.92 | 84 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | High | 5+ | 3.22 | 0.011 | 0.99 | 5.45 | 1.98 | 15 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Low | 5+ | 12.4 | 0.017 | 9 | 15.9 | 2.13 | 122 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Mid | 5+ | 4.78 | 0.008 | 3.18 | 6.37 | 2.48 | 114 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | High | 5+ | 2.67 | 0.008 | 1.16 | 4.18 | 1.64 | 27 | Educational_level | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Urban | 5+ | 4.83 | 0.006 | 3.58 | 6.08 | 1.29 | 127 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Rural | 5+ | 6.31 | 0.017 | 3.06 | 9.56 | 1.34 | 22 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Urban | 5+ | 7.34 | 0.01 | 5.38 | 9.31 | 3.09 | 155 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2010 | Rural | 5+ | 4.72 | 0.012 | 2.33 | 7.11 | 1.05 | 21 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Urban | 5+ | 5.25 | 0.006 | 4.06 | 6.45 | 2.01 | 222 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2017 | Rural | 5+ | 6.78 | 0.015 | 3.92 | 9.64 | 1.73 | 43 | Area | Without depression (no missing) | 1 | MMC_NUM_UNO_0missing_sindepre | 5+ |
| 2003 | Total | 5+ | 5.17 | 0.006 | 4.07 | 6.27 | 2.19 | 242 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Total | 5+ | 6.21 | 0.006 | 4.99 | 7.44 | 3.22 | 329 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Total | 5+ | 5.64 | 0.005 | 4.67 | 6.61 | 2.46 | 404 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Male | 5+ | 3.51 | 0.005 | 2.44 | 4.58 | 1.35 | 85 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Female | 5+ | 6.76 | 0.009 | 4.9 | 8.62 | 2.63 | 157 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Male | 5+ | 4.47 | 0.008 | 2.89 | 6.05 | 2.92 | 99 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Female | 5+ | 7.85 | 0.009 | 6 | 9.71 | 3.59 | 230 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Male | 5+ | 3.29 | 0.006 | 2.12 | 4.45 | 2.13 | 89 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Female | 5+ | 7.9 | 0.008 | 6.41 | 9.39 | 2.68 | 315 | Gender | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | 15-24 | 5+ | 0.319 | 0.002 | -0.121 | 0.76 | 0.619 | 2 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | 25-44 | 5+ | 3.28 | 0.009 | 1.47 | 5.09 | 2.81 | 28 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | 45-64 | 5+ | 7.62 | 0.01 | 5.58 | 9.66 | 1.67 | 88 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | 65+ | 5+ | 15 | 0.02 | 11.2 | 18.9 | 2.62 | 124 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | 15-24 | 5+ | 0.493 | 0.003 | -0.014 | 1 | 0.824 | 6 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | 25-44 | 5+ | 4.41 | 0.01 | 2.42 | 6.41 | 3.99 | 50 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | 45-64 | 5+ | 11.1 | 0.013 | 8.52 | 13.7 | 2.83 | 161 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | 65+ | 5+ | 8.87 | 0.014 | 6.21 | 11.5 | 2.16 | 112 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | 15-24 | 5+ | 0.684 | 0.004 | -0.103 | 1.47 | 1.36 | 4 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | 25-44 | 5+ | 1.78 | 0.004 | 0.925 | 2.65 | 1.71 | 36 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | 45-64 | 5+ | 9.33 | 0.013 | 6.83 | 11.8 | 3.55 | 176 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | 65+ | 5+ | 13.4 | 0.015 | 10.5 | 16.3 | 2.53 | 188 | Edad_Codificada | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Low | 5+ | 8.05 | 0.009 | 6.32 | 9.79 | 1.43 | 137 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Mid | 5+ | 4.32 | 0.008 | 2.67 | 5.97 | 2.76 | 85 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | High | 5+ | 3.77 | 0.014 | 1.02 | 6.51 | 2.24 | 19 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Low | 5+ | 9.95 | 0.015 | 7.09 | 12.8 | 3.04 | 154 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Mid | 5+ | 6.26 | 0.009 | 4.43 | 8.09 | 3.74 | 147 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | High | 5+ | 3.54 | 0.011 | 1.32 | 5.76 | 3.38 | 27 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Low | 5+ | 11.3 | 0.013 | 8.69 | 14 | 2.37 | 182 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Mid | 5+ | 5.24 | 0.007 | 3.83 | 6.64 | 2.89 | 173 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | High | 5+ | 2.98 | 0.008 | 1.43 | 4.52 | 2.51 | 42 | Educational_level | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Urban | 5+ | 5.28 | 0.006 | 4.01 | 6.55 | 2.33 | 207 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Rural | 5+ | 4.43 | 0.01 | 2.52 | 6.34 | 1.37 | 35 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Urban | 5+ | 6.7 | 0.007 | 5.3 | 8.1 | 3.34 | 290 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2010 | Rural | 5+ | 3.04 | 0.005 | 2.05 | 4.03 | 0.629 | 39 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Urban | 5+ | 5.62 | 0.005 | 4.55 | 6.68 | 2.48 | 342 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2017 | Rural | 5+ | 5.82 | 0.01 | 3.78 | 7.87 | 1.68 | 62 | Area | With depression | 1 | MMC_2003_2010_2017 | 5+ |
| 2003 | Total | 5+ | 7.53 | 0.009 | 5.78 | 9.29 | 2 | 194 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Total | 5+ | 8.8 | 0.012 | 6.43 | 11.2 | 3.87 | 205 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Total | 5+ | 7.35 | 0.007 | 5.89 | 8.8 | 2.4 | 297 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Male | 5+ | 5.58 | 0.01 | 3.68 | 7.47 | 1.43 | 71 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Female | 5+ | 9.46 | 0.014 | 6.7 | 12.2 | 2.17 | 123 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Male | 5+ | 5.98 | 0.014 | 3.22 | 8.73 | 3.15 | 67 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Female | 5+ | 11.5 | 0.018 | 7.99 | 15.1 | 3.97 | 138 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Male | 5+ | 3.53 | 0.007 | 2.18 | 4.88 | 1.52 | 58 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Female | 5+ | 11.3 | 0.013 | 8.75 | 13.8 | 3.1 | 239 | Gender | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | 15-24 | 5+ | 0.563 | 0.004 | -0.221 | 1.35 | 0.596 | 2 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | 25-44 | 5+ | 4.7 | 0.015 | 1.81 | 7.59 | 2.62 | 24 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | 45-64 | 5+ | 11.3 | 0.017 | 7.89 | 14.8 | 1.78 | 75 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | 65+ | 5+ | 22.3 | 0.033 | 15.8 | 28.7 | 2.57 | 93 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | 15-24 | 5+ | 0.854 | 0.005 | -0.161 | 1.87 | 0.877 | 5 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | 25-44 | 5+ | 6.41 | 0.018 | 2.79 | 10 | 4.22 | 36 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | 45-64 | 5+ | 16.9 | 0.026 | 11.8 | 22.1 | 3.5 | 103 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | 65+ | 5+ | 11.6 | 0.023 | 7.16 | 16.1 | 2.03 | 61 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | 15-24 | 5+ | 1.12 | 0.007 | -0.171 | 2.41 | 1.32 | 4 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | 25-44 | 5+ | 2.24 | 0.006 | 1.03 | 3.45 | 1.46 | 28 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | 45-64 | 5+ | 12.3 | 0.019 | 8.61 | 15.9 | 3.35 | 132 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | 65+ | 5+ | 17.4 | 0.023 | 12.8 | 22 | 2.82 | 133 | Edad_Codificada | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Low | 5+ | 11 | 0.014 | 8.18 | 13.8 | 1.44 | 106 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Mid | 5+ | 7.5 | 0.014 | 4.75 | 10.3 | 2.37 | 74 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | High | 5+ | 3.57 | 0.016 | 0.402 | 6.73 | 1.68 | 14 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Low | 5+ | 13.4 | 0.023 | 8.93 | 18 | 2.41 | 85 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Mid | 5+ | 9.4 | 0.018 | 5.78 | 13 | 4.67 | 101 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | High | 5+ | 5.01 | 0.019 | 1.27 | 8.74 | 3.3 | 18 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Low | 5+ | 14.6 | 0.02 | 10.7 | 18.6 | 2.3 | 129 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Mid | 5+ | 6.87 | 0.011 | 4.74 | 8.99 | 2.93 | 131 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | High | 5+ | 3.87 | 0.01 | 1.99 | 5.76 | 1.6 | 34 | Educational_level | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Urban | 5+ | 7.64 | 0.01 | 5.65 | 9.64 | 2.13 | 168 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Rural | 5+ | 6.72 | 0.017 | 3.44 | 10 | 1.3 | 26 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Urban | 5+ | 9.18 | 0.013 | 6.57 | 11.8 | 3.92 | 179 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2010 | Rural | 5+ | 5.29 | 0.012 | 3.03 | 7.55 | 0.759 | 26 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Urban | 5+ | 7.35 | 0.008 | 5.76 | 8.94 | 2.41 | 252 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2017 | Rural | 5+ | 7.31 | 0.015 | 4.32 | 10.3 | 1.64 | 45 | Area | With depression (no missing) | 1 | MMC_NUM_UNO_0missing | 5+ |
| 2003 | Total | 5+ | 1.47 | 0.002 | 1.05 | 1.9 | 1.08 | 95 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Total | 5+ | 2.82 | 0.004 | 2.07 | 3.56 | 2.55 | 162 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Total | 5+ | 2.48 | 0.003 | 1.82 | 3.14 | 2.49 | 165 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Male | 5+ | 1.24 | 0.003 | 0.672 | 1.81 | 1.07 | 35 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Female | 5+ | 1.7 | 0.003 | 1.1 | 2.29 | 1.03 | 60 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Male | 5+ | 1.54 | 0.003 | 0.897 | 2.19 | 1.37 | 45 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Female | 5+ | 4.01 | 0.006 | 2.74 | 5.29 | 3.18 | 117 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Male | 5+ | 1.38 | 0.004 | 0.497 | 2.26 | 2.88 | 38 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Female | 5+ | 3.53 | 0.005 | 2.54 | 4.53 | 2.56 | 127 | Gender | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | 25-44 | 5+ | 0.308 | 0.002 | -0.015 | 0.632 | 0.927 | 5 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | 45-64 | 5+ | 2.06 | 0.005 | 1.05 | 3.06 | 1.42 | 26 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | 65+ | 5+ | 7.24 | 0.013 | 4.67 | 9.8 | 2.21 | 64 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | 25-44 | 5+ | 1.08 | 0.003 | 0.392 | 1.76 | 1.86 | 16 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | 45-64 | 5+ | 5.56 | 0.01 | 3.54 | 7.57 | 3.27 | 78 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | 65+ | 5+ | 5.98 | 0.011 | 3.79 | 8.17 | 2.11 | 68 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | 15-24 | 5+ | 0.034 | 0 | -0.033 | 0.101 | 0.197 | 1 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | 25-44 | 5+ | 0.547 | 0.002 | 0.101 | 0.993 | 1.48 | 9 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | 45-64 | 5+ | 4.35 | 0.009 | 2.62 | 6.08 | 3.44 | 77 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | 65+ | 5+ | 6.3 | 0.011 | 4.22 | 8.39 | 2.57 | 78 | Edad_Codificada | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Low | 5+ | 3.68 | 0.006 | 2.45 | 4.92 | 1.5 | 64 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Mid | 5+ | 0.747 | 0.002 | 0.368 | 1.13 | 0.819 | 25 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | High | 5+ | 0.676 | 0.004 | -0.067 | 1.42 | 0.885 | 6 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Low | 5+ | 5.76 | 0.012 | 3.4 | 8.13 | 3.43 | 90 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Mid | 5+ | 2.69 | 0.005 | 1.64 | 3.75 | 2.79 | 61 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | High | 5+ | 0.987 | 0.004 | 0.2 | 1.77 | 1.49 | 11 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Low | 5+ | 4.82 | 0.009 | 3.07 | 6.57 | 2.28 | 78 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Mid | 5+ | 2.3 | 0.004 | 1.43 | 3.17 | 2.41 | 71 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | High | 5+ | 1.37 | 0.007 | 0.072 | 2.66 | 3.79 | 13 | Educational_level | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Urban | 5+ | 1.49 | 0.002 | 1.03 | 1.94 | 1 | 86 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Rural | 5+ | 1.4 | 0.006 | 0.307 | 2.49 | 1.37 | 9 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Urban | 5+ | 3.04 | 0.004 | 2.19 | 3.89 | 2.61 | 147 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2010 | Rural | 5+ | 1.37 | 0.004 | 0.594 | 2.15 | 0.844 | 15 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Urban | 5+ | 2.45 | 0.004 | 1.73 | 3.17 | 2.51 | 139 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2017 | Rural | 5+ | 2.67 | 0.007 | 1.26 | 4.09 | 1.68 | 26 | Area | Without dyslipidemia | 1 | MMC_NUM_UNO_no_dislp | 5+ |
| 2003 | Total | 5+ | 1.6 | 0.002 | 1.13 | 2.07 | 1.08 | 94 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Total | 5+ | 3.29 | 0.005 | 2.33 | 4.25 | 2.78 | 137 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Total | 5+ | 2.24 | 0.003 | 1.58 | 2.91 | 2.22 | 127 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Male | 5+ | 1.39 | 0.003 | 0.751 | 2.03 | 1.05 | 35 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Female | 5+ | 1.79 | 0.003 | 1.15 | 2.44 | 1.01 | 59 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Male | 5+ | 1.75 | 0.004 | 0.947 | 2.56 | 1.48 | 37 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Female | 5+ | 4.77 | 0.008 | 3.13 | 6.42 | 3.38 | 100 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Male | 5+ | 1.09 | 0.004 | 0.391 | 1.79 | 1.83 | 27 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Female | 5+ | 3.37 | 0.006 | 2.23 | 4.51 | 2.78 | 100 | Gender | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | 25-44 | 5+ | 0.343 | 0.002 | -0.018 | 0.704 | 0.942 | 5 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | 45-64 | 5+ | 2.11 | 0.005 | 1.05 | 3.17 | 1.4 | 25 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | 65+ | 5+ | 8.46 | 0.015 | 5.43 | 11.5 | 2.15 | 64 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | 25-44 | 5+ | 1.34 | 0.004 | 0.475 | 2.21 | 1.91 | 14 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | 45-64 | 5+ | 6.73 | 0.014 | 4.06 | 9.39 | 3.62 | 70 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | 65+ | 5+ | 7.12 | 0.015 | 4.22 | 10 | 2.25 | 53 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | 15-24 | 5+ | 0.039 | 0 | -0.038 | 0.117 | 0.191 | 1 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | 25-44 | 5+ | 0.478 | 0.002 | 0.028 | 0.928 | 1.37 | 6 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | 45-64 | 5+ | 3.6 | 0.008 | 2.05 | 5.15 | 2.67 | 59 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | 65+ | 5+ | 6.57 | 0.013 | 4 | 9.13 | 2.87 | 61 | Edad_Codificada | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Low | 5+ | 4.04 | 0.007 | 2.65 | 5.44 | 1.48 | 63 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Mid | 5+ | 0.827 | 0.002 | 0.408 | 1.25 | 0.814 | 25 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | High | 5+ | 0.728 | 0.004 | -0.071 | 1.53 | 0.872 | 6 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Low | 5+ | 6.89 | 0.016 | 3.67 | 10.1 | 3.9 | 73 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Mid | 5+ | 3.19 | 0.007 | 1.84 | 4.53 | 3.09 | 54 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | High | 5+ | 1.14 | 0.005 | 0.173 | 2.11 | 1.58 | 10 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Low | 5+ | 5.21 | 0.011 | 3.04 | 7.37 | 2.49 | 63 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Mid | 5+ | 2.12 | 0.005 | 1.18 | 3.07 | 2.51 | 52 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | High | 5+ | 0.739 | 0.003 | 0.077 | 1.4 | 1.46 | 10 | Educational_level | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Urban | 5+ | 1.62 | 0.003 | 1.12 | 2.12 | 1 | 86 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Rural | 5+ | 1.45 | 0.006 | 0.173 | 2.72 | 1.45 | 8 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Urban | 5+ | 3.53 | 0.006 | 2.44 | 4.62 | 2.86 | 124 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2010 | Rural | 5+ | 1.6 | 0.005 | 0.646 | 2.56 | 0.825 | 13 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Urban | 5+ | 2.15 | 0.004 | 1.44 | 2.87 | 2.26 | 105 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2017 | Rural | 5+ | 3 | 0.008 | 1.41 | 4.59 | 1.53 | 22 | Area | Without dyslipidemia (no missing) | 1 | MMC_NUM_UNO_no_dislp_0miss | 5+ |
| 2003 | Total | 5+ | 0.82 | 0.002 | 0.496 | 1.14 | 1.14 | 59 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Total | 5+ | 1.73 | 0.003 | 1.16 | 2.3 | 2.38 | 94 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Total | 5+ | 1.81 | 0.003 | 1.24 | 2.39 | 2.59 | 112 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Male | 5+ | 0.769 | 0.002 | 0.345 | 1.19 | 0.944 | 26 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Female | 5+ | 0.868 | 0.002 | 0.445 | 1.29 | 0.997 | 33 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Male | 5+ | 0.974 | 0.002 | 0.49 | 1.46 | 1.21 | 30 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Female | 5+ | 2.43 | 0.005 | 1.43 | 3.44 | 3.21 | 64 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Male | 5+ | 1.23 | 0.004 | 0.353 | 2.1 | 3.17 | 29 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Female | 5+ | 2.38 | 0.004 | 1.59 | 3.16 | 2.34 | 83 | Gender | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | 25-44 | 5+ | 0.046 | 0 | -0.042 | 0.134 | 0.463 | 1 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | 45-64 | 5+ | 0.791 | 0.003 | 0.181 | 1.4 | 1.34 | 10 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | 65+ | 5+ | 5.39 | 0.012 | 3.03 | 7.75 | 2.46 | 48 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | 25-44 | 5+ | 0.312 | 0.002 | 0.011 | 0.612 | 1.23 | 7 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | 45-64 | 5+ | 3.35 | 0.008 | 1.75 | 4.96 | 3.39 | 34 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | 65+ | 5+ | 4.89 | 0.011 | 2.83 | 6.96 | 2.27 | 53 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | 25-44 | 5+ | 0.215 | 0.001 | -0.077 | 0.507 | 1.61 | 4 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | 45-64 | 5+ | 3.27 | 0.008 | 1.7 | 4.84 | 3.74 | 51 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | 65+ | 5+ | 4.95 | 0.01 | 3 | 6.89 | 2.8 | 57 | Edad_Codificada | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Low | 5+ | 2.19 | 0.005 | 1.17 | 3.22 | 1.72 | 40 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Mid | 5+ | 0.402 | 0.001 | 0.157 | 0.646 | 0.629 | 15 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | High | 5+ | 0.225 | 0.001 | -0.055 | 0.506 | 0.377 | 4 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Low | 5+ | 3.45 | 0.008 | 1.93 | 4.96 | 2.31 | 53 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Mid | 5+ | 1.68 | 0.004 | 0.831 | 2.53 | 2.87 | 34 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | High | 5+ | 0.609 | 0.003 | 0 | 1.22 | 1.44 | 7 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Low | 5+ | 3.64 | 0.008 | 2 | 5.27 | 2.6 | 52 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Mid | 5+ | 1.58 | 0.004 | 0.871 | 2.3 | 2.36 | 48 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | High | 5+ | 1.1 | 0.006 | -0.138 | 2.35 | 4.31 | 10 | Educational_level | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Urban | 5+ | 0.792 | 0.002 | 0.456 | 1.13 | 1.04 | 53 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Rural | 5+ | 0.998 | 0.005 | -0.008 | 2 | 1.63 | 6 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Urban | 5+ | 1.87 | 0.003 | 1.22 | 2.52 | 2.43 | 87 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2010 | Rural | 5+ | 0.779 | 0.003 | 0.169 | 1.39 | 0.909 | 7 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Urban | 5+ | 1.84 | 0.003 | 1.2 | 2.47 | 2.59 | 97 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2017 | Rural | 5+ | 1.61 | 0.006 | 0.514 | 2.71 | 1.68 | 15 | Area | Without dyslipidemia and depression | 1 | MMC_NUM_UNO_no_dislp_sin_depre | 5+ |
| 2003 | Total | 5+ | 0.872 | 0.002 | 0.518 | 1.23 | 1.12 | 58 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Total | 5+ | 1.87 | 0.003 | 1.23 | 2.5 | 2.43 | 87 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Total | 5+ | 1.6 | 0.003 | 1.09 | 2.11 | 1.94 | 95 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Male | 5+ | 0.86 | 0.002 | 0.387 | 1.33 | 0.923 | 26 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Female | 5+ | 0.884 | 0.002 | 0.441 | 1.33 | 0.95 | 32 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Male | 5+ | 0.935 | 0.003 | 0.411 | 1.46 | 1.29 | 24 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Female | 5+ | 2.76 | 0.006 | 1.62 | 3.9 | 3.19 | 63 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Male | 5+ | 0.916 | 0.003 | 0.277 | 1.56 | 1.92 | 23 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Female | 5+ | 2.24 | 0.004 | 1.44 | 3.04 | 2.22 | 72 | Gender | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | 25-44 | 5+ | 0.051 | 0.001 | -0.047 | 0.149 | 0.466 | 1 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | 45-64 | 5+ | 0.728 | 0.003 | 0.122 | 1.33 | 1.3 | 9 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | 65+ | 5+ | 6.31 | 0.014 | 3.53 | 9.08 | 2.35 | 48 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | 25-44 | 5+ | 0.342 | 0.002 | 0.011 | 0.672 | 1.24 | 7 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | 45-64 | 5+ | 3.74 | 0.009 | 1.95 | 5.53 | 3.3 | 34 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | 65+ | 5+ | 5.68 | 0.013 | 3.14 | 8.22 | 2.39 | 46 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | 25-44 | 5+ | 0.245 | 0.002 | -0.087 | 0.578 | 1.6 | 4 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | 45-64 | 5+ | 2.52 | 0.006 | 1.28 | 3.77 | 2.6 | 43 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | 65+ | 5+ | 5.31 | 0.012 | 3.05 | 7.57 | 2.93 | 48 | Edad_Codificada | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Low | 5+ | 2.34 | 0.006 | 1.2 | 3.49 | 1.69 | 39 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Mid | 5+ | 0.445 | 0.001 | 0.174 | 0.715 | 0.626 | 15 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | High | 5+ | 0.243 | 0.002 | -0.059 | 0.545 | 0.372 | 4 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Low | 5+ | 3.91 | 0.009 | 2.11 | 5.71 | 2.4 | 48 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Mid | 5+ | 1.81 | 0.005 | 0.883 | 2.74 | 2.9 | 33 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | High | 5+ | 0.593 | 0.003 | -0.058 | 1.24 | 1.55 | 6 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Low | 5+ | 4.11 | 0.01 | 2.18 | 6.04 | 2.65 | 45 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Mid | 5+ | 1.42 | 0.004 | 0.71 | 2.13 | 2.26 | 41 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | High | 5+ | 0.57 | 0.003 | -0.009 | 1.15 | 1.59 | 8 | Educational_level | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Urban | 5+ | 0.863 | 0.002 | 0.494 | 1.23 | 1.03 | 53 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2003 | Rural | 5+ | 0.945 | 0.006 | -0.189 | 2.08 | 1.75 | 5 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Urban | 5+ | 2.03 | 0.004 | 1.31 | 2.75 | 2.44 | 82 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2010 | Rural | 5+ | 0.719 | 0.004 | 0.013 | 1.43 | 1.12 | 5 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Urban | 5+ | 1.6 | 0.003 | 1.05 | 2.15 | 1.93 | 83 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
| 2017 | Rural | 5+ | 1.6 | 0.006 | 0.504 | 2.7 | 1.44 | 12 | Area | Without dyslipidemia and depression (no missing) | 1 | MMC_NUM_UNO_no_dislp_sin_depre_0miss | 5+ |
Figure 6:
Figure 7:
msurv1s01%>%
mutate(across(where(is.numeric), round, 3))| var...7 | MMC | coef | exp(coef)...2 | se(coef) | robust se | z | Pr(>|z|) | exp(coef)...8 | exp(-coef) | lower .95 | upper .95 | var...12 | exp_coef | exp_coef_low | exp_coef_upp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ENS2 | W-O dep | 0.043 | 1.04 | 0.09 | 0.11 | 0.391 | 0.696 | 1.04 | 0.958 | 0.841 | 1.29 | ENS2 | 1.04 | 0.841 | 1.29 |
| ENS3 | W-O dep | -0.274 | 0.76 | 0.169 | 0.204 | -1.35 | 0.178 | 0.76 | 1.32 | 0.51 | 1.13 | ENS3 | 0.76 | 0.51 | 1.13 |
| Edad | W-O dep | 0.098 | 1.1 | 0.003 | 0.003 | 31 | 0 | 1.1 | 0.906 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | W-O dep | -0.349 | 0.705 | 0.072 | 0.094 | -3.71 | 0 | 0.705 | 1.42 | 0.587 | 0.848 | GenderFemale | 0.705 | 0.587 | 0.848 |
| MMC | W-O dep | 0.094 | 1.1 | 0.027 | 0.032 | 2.96 | 0.003 | 1.1 | 0.911 | 1.03 | 1.17 | MMC | 1.1 | 1.03 | 1.17 |
| ENS2 | With dep | 0.047 | 1.05 | 0.09 | 0.11 | 0.428 | 0.669 | 1.05 | 0.954 | 0.844 | 1.3 | ENS2 | 1.05 | 0.844 | 1.3 |
| ENS3 | With dep | -0.271 | 0.763 | 0.169 | 0.204 | -1.33 | 0.185 | 0.763 | 1.31 | 0.511 | 1.14 | ENS3 | 0.763 | 0.511 | 1.14 |
| Edad | With dep | 0.098 | 1.1 | 0.003 | 0.003 | 31.1 | 0 | 1.1 | 0.906 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | With dep | -0.366 | 0.694 | 0.072 | 0.095 | -3.87 | 0 | 0.694 | 1.44 | 0.576 | 0.835 | GenderFemale | 0.694 | 0.576 | 0.835 |
| MMC | With dep | 0.109 | 1.11 | 0.025 | 0.031 | 3.52 | 0 | 1.11 | 0.897 | 1.05 | 1.19 | MMC | 1.11 | 1.05 | 1.19 |
| ENS2 | W-O dep (no miss) | -0.085 | 0.918 | 0.14 | 0.151 | -0.562 | 0.574 | 0.918 | 1.09 | 0.683 | 1.24 | ENS2 | 0.918 | 0.683 | 1.24 |
| ENS3 | W-O dep (no miss) | -0.422 | 0.656 | 0.263 | 0.296 | -1.42 | 0.154 | 0.656 | 1.52 | 0.367 | 1.17 | ENS3 | 0.656 | 0.367 | 1.17 |
| Edad | W-O dep (no miss) | 0.099 | 1.1 | 0.004 | 0.005 | 21 | 0 | 1.1 | 0.905 | 1.09 | 1.11 | Edad | 1.1 | 1.09 | 1.11 |
| GenderFemale | W-O dep (no miss) | -0.225 | 0.799 | 0.108 | 0.125 | -1.79 | 0.073 | 0.799 | 1.25 | 0.625 | 1.02 | GenderFemale | 0.799 | 0.625 | 1.02 |
| MMC | W-O dep (no miss) | 0.12 | 1.13 | 0.04 | 0.051 | 2.34 | 0.019 | 1.13 | 0.887 | 1.02 | 1.25 | MMC | 1.13 | 1.02 | 1.25 |
| ENS2 | With dep (no miss) | -0.047 | 0.954 | 0.145 | 0.155 | -0.302 | 0.763 | 0.954 | 1.05 | 0.705 | 1.29 | ENS2 | 0.954 | 0.705 | 1.29 |
| ENS3 | With dep (no miss) | -0.591 | 0.554 | 0.281 | 0.308 | -1.92 | 0.055 | 0.554 | 1.81 | 0.303 | 1.01 | ENS3 | 0.554 | 0.303 | 1.01 |
| Edad | With dep (no miss) | 0.099 | 1.1 | 0.004 | 0.005 | 20.3 | 0 | 1.1 | 0.905 | 1.09 | 1.11 | Edad | 1.1 | 1.09 | 1.11 |
| GenderFemale | With dep (no miss) | -0.184 | 0.832 | 0.112 | 0.13 | -1.42 | 0.156 | 0.832 | 1.2 | 0.645 | 1.07 | GenderFemale | 0.832 | 0.645 | 1.07 |
| MMC | With dep (no miss) | 0.148 | 1.16 | 0.039 | 0.049 | 3.04 | 0.002 | 1.16 | 0.863 | 1.05 | 1.27 | MMC | 1.16 | 1.05 | 1.27 |
| ENS2 | W-O dysl | 0.049 | 1.05 | 0.09 | 0.11 | 0.443 | 0.658 | 1.05 | 0.952 | 0.846 | 1.3 | ENS2 | 1.05 | 0.846 | 1.3 |
| ENS3 | W-O dysl | -0.273 | 0.761 | 0.169 | 0.205 | -1.34 | 0.181 | 0.761 | 1.31 | 0.51 | 1.14 | ENS3 | 0.761 | 0.51 | 1.14 |
| Edad | W-O dysl | 0.098 | 1.1 | 0.003 | 0.003 | 31.1 | 0 | 1.1 | 0.907 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | W-O dysl | -0.387 | 0.679 | 0.072 | 0.096 | -4.04 | 0 | 0.679 | 1.47 | 0.563 | 0.82 | GenderFemale | 0.679 | 0.563 | 0.82 |
| MMC | W-O dysl | 0.158 | 1.17 | 0.028 | 0.033 | 4.72 | 0 | 1.17 | 0.854 | 1.1 | 1.25 | MMC | 1.17 | 1.1 | 1.25 |
| ENS2 | W-O dysl (no miss) | -0.081 | 0.923 | 0.107 | 0.118 | -0.685 | 0.494 | 0.923 | 1.08 | 0.733 | 1.16 | ENS2 | 0.923 | 0.733 | 1.16 |
| ENS3 | W-O dysl (no miss) | -0.5 | 0.607 | 0.213 | 0.247 | -2.02 | 0.043 | 0.607 | 1.65 | 0.374 | 0.985 | ENS3 | 0.607 | 0.374 | 0.985 |
| Edad | W-O dysl (no miss) | 0.099 | 1.1 | 0.003 | 0.004 | 26.2 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | W-O dysl (no miss) | -0.314 | 0.73 | 0.085 | 0.097 | -3.25 | 0.001 | 0.73 | 1.37 | 0.604 | 0.883 | GenderFemale | 0.73 | 0.604 | 0.883 |
| MMC | W-O dysl (no miss) | 0.195 | 1.22 | 0.032 | 0.036 | 5.37 | 0 | 1.22 | 0.823 | 1.13 | 1.31 | MMC | 1.22 | 1.13 | 1.31 |
| ENS2 | W-O dysl and dep | 0.045 | 1.05 | 0.09 | 0.109 | 0.414 | 0.679 | 1.05 | 0.956 | 0.844 | 1.3 | ENS2 | 1.05 | 0.844 | 1.3 |
| ENS3 | W-O dysl and dep | -0.277 | 0.758 | 0.169 | 0.204 | -1.36 | 0.175 | 0.758 | 1.32 | 0.508 | 1.13 | ENS3 | 0.758 | 0.508 | 1.13 |
| Edad | W-O dysl and dep | 0.098 | 1.1 | 0.003 | 0.003 | 30.8 | 0 | 1.1 | 0.907 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | W-O dysl and dep | -0.363 | 0.696 | 0.072 | 0.095 | -3.83 | 0 | 0.696 | 1.44 | 0.578 | 0.837 | GenderFemale | 0.696 | 0.578 | 0.837 |
| MMC | W-O dysl and dep | 0.144 | 1.16 | 0.03 | 0.035 | 4.18 | 0 | 1.16 | 0.865 | 1.08 | 1.24 | MMC | 1.16 | 1.08 | 1.24 |
| ENS2 | W-O dysl and dep (no miss) | -0.031 | 0.969 | 0.102 | 0.114 | -0.277 | 0.782 | 0.969 | 1.03 | 0.775 | 1.21 | ENS2 | 0.969 | 0.775 | 1.21 |
| ENS3 | W-O dysl and dep (no miss) | -0.441 | 0.643 | 0.2 | 0.234 | -1.89 | 0.059 | 0.643 | 1.55 | 0.407 | 1.02 | ENS3 | 0.643 | 0.407 | 1.02 |
| Edad | W-O dysl and dep (no miss) | 0.097 | 1.1 | 0.003 | 0.004 | 26.8 | 0 | 1.1 | 0.907 | 1.09 | 1.11 | Edad | 1.1 | 1.09 | 1.11 |
| GenderFemale | W-O dysl and dep (no miss) | -0.302 | 0.74 | 0.081 | 0.093 | -3.24 | 0.001 | 0.74 | 1.35 | 0.616 | 0.888 | GenderFemale | 0.74 | 0.616 | 0.888 |
| MMC | W-O dysl and dep (no miss) | 0.173 | 1.19 | 0.033 | 0.037 | 4.72 | 0 | 1.19 | 0.841 | 1.11 | 1.28 | MMC | 1.19 | 1.11 | 1.28 |
| ENS2 | Obese | -0.05 | 0.952 | 0.092 | 0.107 | -0.463 | 0.643 | 0.952 | 1.05 | 0.772 | 1.17 | ENS2 | 0.952 | 0.772 | 1.17 |
| ENS3 | Obese | -0.314 | 0.731 | 0.174 | 0.207 | -1.52 | 0.129 | 0.731 | 1.37 | 0.487 | 1.09 | ENS3 | 0.731 | 0.487 | 1.09 |
| Edad | Obese | 0.1 | 1.1 | 0.003 | 0.003 | 31.4 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | Obese | -0.318 | 0.728 | 0.074 | 0.089 | -3.59 | 0 | 0.728 | 1.37 | 0.612 | 0.866 | GenderFemale | 0.728 | 0.612 | 0.866 |
| MMC | Obese | 0.057 | 1.06 | 0.079 | 0.093 | 0.615 | 0.539 | 1.06 | 0.944 | 0.883 | 1.27 | MMC | 1.06 | 0.883 | 1.27 |
| ENS2 | hyper | 0.022 | 1.02 | 0.089 | 0.109 | 0.204 | 0.839 | 1.02 | 0.978 | 0.826 | 1.27 | ENS2 | 1.02 | 0.826 | 1.27 |
| ENS3 | hyper | -0.341 | 0.711 | 0.166 | 0.201 | -1.7 | 0.09 | 0.711 | 1.41 | 0.48 | 1.05 | ENS3 | 0.711 | 0.48 | 1.05 |
| Edad | hyper | 0.1 | 1.1 | 0.003 | 0.004 | 27.1 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | hyper | -0.313 | 0.732 | 0.072 | 0.09 | -3.48 | 0.001 | 0.732 | 1.37 | 0.613 | 0.872 | GenderFemale | 0.732 | 0.613 | 0.872 |
| MMC | hyper | 0.082 | 1.08 | 0.088 | 0.123 | 0.665 | 0.506 | 1.08 | 0.922 | 0.853 | 1.38 | MMC | 1.08 | 0.853 | 1.38 |
| ENS2 | Diab | 0.049 | 1.05 | 0.095 | 0.117 | 0.416 | 0.677 | 1.05 | 0.952 | 0.834 | 1.32 | ENS2 | 1.05 | 0.834 | 1.32 |
| ENS3 | Diab | -0.448 | 0.639 | 0.184 | 0.208 | -2.15 | 0.031 | 0.639 | 1.56 | 0.425 | 0.961 | ENS3 | 0.639 | 0.425 | 0.961 |
| Edad | Diab | 0.099 | 1.1 | 0.003 | 0.003 | 29.1 | 0 | 1.1 | 0.906 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | Diab | -0.263 | 0.769 | 0.076 | 0.095 | -2.76 | 0.006 | 0.769 | 1.3 | 0.638 | 0.927 | GenderFemale | 0.769 | 0.638 | 0.927 |
| MMC | Diab | 0.533 | 1.7 | 0.085 | 0.114 | 4.66 | 0 | 1.7 | 0.587 | 1.36 | 2.13 | MMC | 1.7 | 1.36 | 2.13 |
| ENS2 | mdrd_60 | 0.028 | 1.03 | 0.092 | 0.116 | 0.238 | 0.812 | 1.03 | 0.973 | 0.819 | 1.29 | ENS2 | 1.03 | 0.819 | 1.29 |
| ENS3 | mdrd_60 | -0.258 | 0.773 | 0.173 | 0.211 | -1.22 | 0.221 | 0.773 | 1.29 | 0.511 | 1.17 | ENS3 | 0.773 | 0.511 | 1.17 |
| Edad | mdrd_60 | 0.099 | 1.1 | 0.003 | 0.003 | 30.3 | 0 | 1.1 | 0.906 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | mdrd_60 | -0.322 | 0.724 | 0.073 | 0.096 | -3.37 | 0.001 | 0.724 | 1.38 | 0.601 | 0.874 | GenderFemale | 0.724 | 0.601 | 0.874 |
| MMC | mdrd_60 | 0.091 | 1.09 | 0.092 | 0.107 | 0.85 | 0.395 | 1.09 | 0.913 | 0.888 | 1.35 | MMC | 1.09 | 0.888 | 1.35 |
| ENS2 | LDL | -0.029 | 0.971 | 0.125 | 0.145 | -0.199 | 0.842 | 0.971 | 1.03 | 0.731 | 1.29 | ENS2 | 0.971 | 0.731 | 1.29 |
| ENS3 | LDL | -0.357 | 0.7 | 0.237 | 0.27 | -1.32 | 0.186 | 0.7 | 1.43 | 0.413 | 1.19 | ENS3 | 0.7 | 0.413 | 1.19 |
| Edad | LDL | 0.1 | 1.1 | 0.003 | 0.004 | 24.7 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | LDL | -0.251 | 0.778 | 0.097 | 0.122 | -2.06 | 0.04 | 0.778 | 1.28 | 0.613 | 0.988 | GenderFemale | 0.778 | 0.613 | 0.988 |
| MMC | LDL | -0.109 | 0.897 | 0.097 | 0.118 | -0.923 | 0.356 | 0.897 | 1.11 | 0.712 | 1.13 | MMC | 0.897 | 0.712 | 1.13 |
| ENS2 | HDL | -0.004 | 0.997 | 0.125 | 0.145 | -0.024 | 0.981 | 0.997 | 1 | 0.749 | 1.32 | ENS2 | 0.997 | 0.749 | 1.32 |
| ENS3 | HDL | -0.251 | 0.778 | 0.232 | 0.265 | -0.946 | 0.344 | 0.778 | 1.28 | 0.463 | 1.31 | ENS3 | 0.778 | 0.463 | 1.31 |
| Edad | HDL | 0.1 | 1.1 | 0.003 | 0.004 | 24.7 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | HDL | -0.245 | 0.783 | 0.097 | 0.12 | -2.04 | 0.042 | 0.783 | 1.28 | 0.618 | 0.991 | GenderFemale | 0.783 | 0.618 | 0.991 |
| MMCTRUE | HDL | 0.171 | 1.19 | 0.097 | 0.125 | 1.36 | 0.173 | 1.19 | 0.843 | 0.928 | 1.52 | MMCTRUE | 1.19 | 0.928 | 1.52 |
| ENS2 | TGD | -0.018 | 0.982 | 0.124 | 0.144 | -0.125 | 0.901 | 0.982 | 1.02 | 0.74 | 1.3 | ENS2 | 0.982 | 0.74 | 1.3 |
| ENS3 | TGD | -0.267 | 0.766 | 0.232 | 0.264 | -1.01 | 0.312 | 0.766 | 1.31 | 0.456 | 1.28 | ENS3 | 0.766 | 0.456 | 1.28 |
| Edad | TGD | 0.1 | 1.1 | 0.003 | 0.004 | 25.1 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | TGD | -0.239 | 0.788 | 0.096 | 0.124 | -1.92 | 0.054 | 0.788 | 1.27 | 0.618 | 1 | GenderFemale | 0.788 | 0.618 | 1 |
| MMC | TGD | -0.13 | 0.878 | 0.102 | 0.146 | -0.892 | 0.372 | 0.878 | 1.14 | 0.66 | 1.17 | MMC | 0.878 | 0.66 | 1.17 |
| ENS2 | dysl | -0.01 | 0.99 | 0.125 | 0.143 | -0.072 | 0.942 | 0.99 | 1.01 | 0.748 | 1.31 | ENS2 | 0.99 | 0.748 | 1.31 |
| ENS3 | dysl | -0.246 | 0.782 | 0.233 | 0.265 | -0.93 | 0.352 | 0.782 | 1.28 | 0.465 | 1.31 | ENS3 | 0.782 | 0.465 | 1.31 |
| Edad | dysl | 0.1 | 1.1 | 0.003 | 0.004 | 24.9 | 0 | 1.1 | 0.905 | 1.1 | 1.11 | Edad | 1.1 | 1.1 | 1.11 |
| GenderFemale | dysl | -0.231 | 0.793 | 0.096 | 0.121 | -1.92 | 0.055 | 0.793 | 1.26 | 0.626 | 1 | GenderFemale | 0.793 | 0.626 | 1 |
| MMC | dysl | 0.115 | 1.12 | 0.118 | 0.156 | 0.732 | 0.464 | 1.12 | 0.892 | 0.825 | 1.52 | MMC | 1.12 | 0.825 | 1.52 |
| ENS2 | SME2_ | 0.024 | 1.02 | 0.091 | 0.112 | 0.216 | 0.829 | 1.02 | 0.976 | 0.823 | 1.27 | ENS2 | 1.02 | 0.823 | 1.27 |
| ENS3 | SME2_ | -0.306 | 0.737 | 0.168 | 0.205 | -1.49 | 0.135 | 0.737 | 1.36 | 0.493 | 1.1 | ENS3 | 0.737 | 0.493 | 1.1 |
| Edad | SME2_ | 0.101 | 1.11 | 0.003 | 0.003 | 32.1 | 0 | 1.11 | 0.904 | 1.1 | 1.11 | Edad | 1.11 | 1.1 | 1.11 |
| GenderFemale | SME2_ | -0.323 | 0.724 | 0.074 | 0.094 | -3.43 | 0.001 | 0.724 | 1.38 | 0.602 | 0.871 | GenderFemale | 0.724 | 0.602 | 0.871 |
| MMC | SME2_ | 0.056 | 1.06 | 0.074 | 0.091 | 0.618 | 0.536 | 1.06 | 0.946 | 0.886 | 1.26 | MMC | 1.06 | 0.886 | 1.26 |
| ENS2 | CV | -0.014 | 0.986 | 0.092 | 0.115 | -0.12 | 0.905 | 0.986 | 1.01 | 0.787 | 1.24 | ENS2 | 0.986 | 0.787 | 1.24 |
| ENS3 | CV | -0.362 | 0.696 | 0.168 | 0.204 | -1.77 | 0.076 | 0.696 | 1.44 | 0.466 | 1.04 | ENS3 | 0.696 | 0.466 | 1.04 |
| Edad | CV | 0.1 | 1.11 | 0.003 | 0.003 | 31 | 0 | 1.11 | 0.904 | 1.1 | 1.11 | Edad | 1.11 | 1.1 | 1.11 |
| GenderFemale | CV | -0.309 | 0.734 | 0.073 | 0.092 | -3.37 | 0.001 | 0.734 | 1.36 | 0.613 | 0.879 | GenderFemale | 0.734 | 0.613 | 0.879 |
| MMC | CV | 0.452 | 1.57 | 0.105 | 0.145 | 3.12 | 0.002 | 1.57 | 0.637 | 1.18 | 2.09 | MMC | 1.57 | 1.18 | 2.09 |
| ENS2 | epoc | 0.002 | 1 | 0.091 | 0.114 | 0.014 | 0.989 | 1 | 0.998 | 0.801 | 1.25 | ENS2 | 1 | 0.801 | 1.25 |
| ENS3 | epoc | -0.327 | 0.721 | 0.168 | 0.203 | -1.61 | 0.108 | 0.721 | 1.39 | 0.485 | 1.07 | ENS3 | 0.721 | 0.485 | 1.07 |
| Edad | epoc | 0.101 | 1.11 | 0.003 | 0.003 | 32 | 0 | 1.11 | 0.904 | 1.1 | 1.11 | Edad | 1.11 | 1.1 | 1.11 |
| GenderFemale | epoc | -0.34 | 0.712 | 0.073 | 0.093 | -3.67 | 0 | 0.712 | 1.41 | 0.594 | 0.854 | GenderFemale | 0.712 | 0.594 | 0.854 |
| MMC | epoc | 0.293 | 1.34 | 0.139 | 0.16 | 1.83 | 0.067 | 1.34 | 0.746 | 0.98 | 1.83 | MMC | 1.34 | 0.98 | 1.83 |
| ENS2 | Depress | -0.006 | 0.994 | 0.094 | 0.121 | -0.048 | 0.962 | 0.994 | 1.01 | 0.785 | 1.26 | ENS2 | 0.994 | 0.785 | 1.26 |
| ENS3 | Depress | -0.346 | 0.708 | 0.177 | 0.215 | -1.61 | 0.108 | 0.708 | 1.41 | 0.464 | 1.08 | ENS3 | 0.708 | 0.464 | 1.08 |
| Edad | Depress | 0.104 | 1.11 | 0.003 | 0.003 | 31.7 | 0 | 1.11 | 0.901 | 1.1 | 1.12 | Edad | 1.11 | 1.1 | 1.12 |
| GenderFemale | Depress | -0.383 | 0.682 | 0.077 | 0.099 | -3.86 | 0 | 0.682 | 1.47 | 0.561 | 0.828 | GenderFemale | 0.682 | 0.561 | 0.828 |
| MMC | Depress | 0.489 | 1.63 | 0.098 | 0.134 | 3.65 | 0 | 1.63 | 0.613 | 1.25 | 2.12 | MMC | 1.63 | 1.25 | 2.12 |
| ENS2 | Smoke | 0.025 | 1.02 | 0.092 | 0.116 | 0.213 | 0.831 | 1.02 | 0.976 | 0.817 | 1.29 | ENS2 | 1.02 | 0.817 | 1.29 |
| ENS3 | Smoke | -0.342 | 0.71 | 0.173 | 0.212 | -1.61 | 0.107 | 0.71 | 1.41 | 0.468 | 1.08 | ENS3 | 0.71 | 0.468 | 1.08 |
| Edad | Smoke | 0.104 | 1.11 | 0.003 | 0.003 | 29.9 | 0 | 1.11 | 0.902 | 1.1 | 1.12 | Edad | 1.11 | 1.1 | 1.12 |
| GenderFemale | Smoke | -0.327 | 0.721 | 0.074 | 0.095 | -3.43 | 0.001 | 0.721 | 1.39 | 0.598 | 0.869 | GenderFemale | 0.721 | 0.598 | 0.869 |
| MMC | Smoke | 0.248 | 1.28 | 0.094 | 0.126 | 1.96 | 0.05 | 1.28 | 0.78 | 1 | 1.64 | MMC | 1.28 | 1 | 1.64 |
Figure 8: