| Canoas (N=75) |
Gravataí (N=75) |
Guaíba (N=75) |
Porto Alegre (N=75) |
Overall (N=300) |
|
|---|---|---|---|---|---|
| idade | |||||
| Mean (SD) | 35.6 (11.2) | 29.8 (10.3) | 36.1 (11.6) | 34.0 (11.0) | 33.9 (11.3) |
| Median [Min, Max] | 35.7 [18.6, 62.9] | 26.1 [18.1, 54.2] | 34.8 [18.3, 55.9] | 35.5 [18.0, 53.8] | 33.0 [18.0, 62.9] |
| altura | |||||
| Mean (SD) | 175 (6.78) | 175 (8.13) | 172 (7.86) | 173 (7.78) | 174 (7.69) |
| Median [Min, Max] | 175 [162, 196] | 174 [150, 197] | 172 [157, 197] | 174 [157, 192] | 174 [150, 197] |
| imc | |||||
| Mean (SD) | 27.0 (3.96) | 26.6 (4.32) | 27.2 (4.37) | 26.9 (5.70) | 26.9 (4.62) |
| Median [Min, Max] | 26.6 [17.7, 39.0] | 25.8 [18.6, 41.7] | 26.1 [19.6, 40.9] | 27.0 [0.00257, 38.7] | 26.4 [0.00257, 41.7] |
| tabagismo | |||||
| Ex-fumante | 13 (17.3%) | 5 (6.7%) | 17 (22.7%) | 14 (18.7%) | 49 (16.3%) |
| Fumante | 18 (24.0%) | 17 (22.7%) | 6 (8.0%) | 15 (20.0%) | 56 (18.7%) |
| Não fumante | 44 (58.7%) | 53 (70.7%) | 52 (69.3%) | 46 (61.3%) | 195 (65.0%) |
| Canoas (N=75) |
Gravataí (N=75) |
Guaíba (N=75) |
Porto Alegre (N=75) |
Overall (N=300) |
|
|---|---|---|---|---|---|
| fvcz | |||||
| Mean (SD) | -0.577 (0.830) | -1.24 (1.02) | -0.921 (0.920) | -0.980 (1.02) | -0.930 (0.974) |
| Median [Min, Max] | -0.537 [-2.84, 1.26] | -1.06 [-3.61, 0.700] | -0.872 [-3.82, 1.33] | -0.975 [-4.11, 1.61] | -0.883 [-4.11, 1.61] |
| fev1z | |||||
| Mean (SD) | -0.493 (0.848) | -1.16 (1.02) | -0.700 (0.847) | -0.760 (1.05) | -0.779 (0.972) |
| Median [Min, Max] | -0.467 [-2.73, 1.37] | -0.980 [-4.13, 1.23] | -0.589 [-3.39, 1.57] | -0.772 [-3.20, 1.34] | -0.724 [-4.13, 1.57] |
| fev1fvcz | |||||
| Mean (SD) | 0.192 (1.13) | 0.158 (1.30) | 0.444 (1.03) | 0.423 (1.18) | 0.304 (1.16) |
| Median [Min, Max] | 0.173 [-2.57, 2.46] | 0.176 [-3.65, 3.74] | 0.470 [-2.51, 3.61] | 0.348 [-2.48, 3.55] | 0.319 [-3.65, 3.74] |
| fef2575z | |||||
| Mean (SD) | -0.137 (0.899) | -0.491 (1.09) | -0.0772 (0.782) | -0.184 (0.954) | -0.222 (0.946) |
| Median [Min, Max] | -0.178 [-2.57, 1.59] | -0.440 [-4.38, 1.68] | -0.0775 [-2.53, 1.42] | -0.126 [-2.36, 1.93] | -0.175 [-4.38, 1.93] |
##
## Lilliefors (Kolmogorov-Smirnov) normality test
##
## data: df$fvcz
## D = 0.058471, p-value = 0.01504
##
## Lilliefors (Kolmogorov-Smirnov) normality test
##
## data: df$fev1z
## D = 0.050336, p-value = 0.06404
##
## Lilliefors (Kolmogorov-Smirnov) normality test
##
## data: df$fev1fvcz
## D = 0.050541, p-value = 0.06195
##
## Lilliefors (Kolmogorov-Smirnov) normality test
##
## data: df$fef2575z
## D = 0.056845, p-value = 0.02054
##
## Kruskal-Wallis rank sum test
##
## data: fvcz by cidade
## Kruskal-Wallis chi-squared = 15.091, df = 3, p-value = 0.00174
##
## Kruskal-Wallis rank sum test
##
## data: fev1z by cidade
## Kruskal-Wallis chi-squared = 17.793, df = 3, p-value = 0.0004852
##
## Kruskal-Wallis rank sum test
##
## data: fev1fvcz by cidade
## Kruskal-Wallis chi-squared = 4.733, df = 3, p-value = 0.1924
##
## Kruskal-Wallis rank sum test
##
## data: fef2575z by cidade
## Kruskal-Wallis chi-squared = 7.9169, df = 3, p-value = 0.04776
##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$fvcz and df$cidade
##
## Canoas Gravataí Guaíba
## Gravataí 0.0013 - -
## Guaíba 0.2041 0.4600 -
## Porto Alegre 0.0540 1.0000 1.0000
##
## P value adjustment method: bonferroni
##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$fev1z and df$cidade
##
## Canoas Gravataí Guaíba
## Gravataí 0.00026 - -
## Guaíba 0.97223 0.01835 -
## Porto Alegre 0.45626 0.21576 1.00000
##
## P value adjustment method: bonferroni
##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$fev1fvcz and df$cidade
##
## Canoas Gravataí Guaíba
## Gravataí 1.00 - -
## Guaíba 0.84 0.41 -
## Porto Alegre 1.00 0.85 1.00
##
## P value adjustment method: bonferroni
##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$fef2575z and df$cidade
##
## Canoas Gravataí Guaíba
## Gravataí 0.250 - -
## Guaíba 1.000 0.035 -
## Porto Alegre 1.000 0.427 1.000
##
## P value adjustment method: bonferroni