championCx
B. Sharma + Team
2025-07-28
CHAMPTION CX
##
## iter imp variable
## 1 1 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 1 2 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 1 3 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 1 4 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 1 5 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 2 1 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 2 2 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 2 3 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 2 4 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 2 5 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 3 1 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 3 2 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 3 3 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 3 4 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 3 5 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 4 1 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 4 2 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 4 3 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 4 4 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 4 5 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 5 1 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 5 2 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 5 3 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 5 4 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_Worn
## 5 5 VO2_absolute VO2_relative HR_peak RER MVPA_scaled Wear_Time Days_WornEDA
Missingness
## [1] "Missingness across anthro variables"## [1] "Missingness across ultrasound variables"
## [1] "Missingness across blood-based variables"
## [1] "Missingness across inflammatory variables"
## [1] "Missingness across fitness variables"
Histograms
Corr plot
Bar charts
Potential outliers
| variable | n_outliers | pct_outliers | details |
|---|---|---|---|
| Age | 0 | 0.00 | NA |
| YPHV | 0 | 0.00 | NA |
| Disease_Duration | 0 | 0.00 | NA |
| Height | 0 | 0.00 | NA |
| Height_percentile | 0 | 0.00 | NA |
| Sitting_Height | 0 | 0.00 | NA |
| Weight | 1 | 0.52 | CHAMP-1F-10L: 98.3 |
| Weight_percentile | 0 | 0.00 | NA |
| BF | 1 | 0.56 | CHAMP-1F-10L: 49.5 |
| BF_percentile | 0 | 0.00 | NA |
| cIMT | 0 | 0.00 | NA |
| DC | 2 | 1.10 | CHAMP-6F-44L: 114.06; CHAMP-6F-56L: 90.79 |
| Sif | 4 | 2.21 | CHAMP-3F-40L: 8.49; CHAMP-3M-36L: 8.87; CHAMP-5F-35L: 9.86; CHAMP-5M-30L: 9.68 |
| PWV | 2 | 1.10 | CHAMP-5M-20: 6.26; CHAMP-6M-09: 6.59 |
| BA_BLD | 2 | 1.12 | CHAMP-3M-41L: 4.23; CHAMP-6M-31L: 4.15 |
| RelFMD | 5 | 2.82 | CHAMP-3F-44L: 14.79; CHAMP-3F-51L: 14.26; CHAMP-6F-53L: 14.83; CHAMP-6M-35L: 15.87; CHAMP-6M-51L: 14.94 |
| ttp | 7 | 4.05 | CHAMP-2M-04: 131.3; CHAMP-3F-02: 132.21; CHAMP-3M-14: 139.74; CHAMP-4M-05: 38.44; CHAMP-5F-07: 42.47; CHAMP-5F-10: 41.69; CHAMP-5F-12: 145.32 |
| AUC | 5 | 2.84 | CHAMP-2M-04: 263431.64; CHAMP-3F-27: 166033.44; CHAMP-3M-03: 221579.29; CHAMP-3M-24: 183989.44; CHAMP-4F-12: 192812.95 |
| BMI_percentile | 0 | 0.00 | NA |
| SBP | 3 | 1.65 | CHAMP-4M-21: 126; CHAMP-5M-37L: 126; CHAMP-6M-16: 126 |
| DBP | 2 | 1.10 | CHAMP-1F-08L: 84; CHAMP-4M-21: 79 |
| Glucose | 16 | 10.60 | CHAMP-3M-14: 8.6; CHAMP-5F-09: 13; CHAMP-5F-10: 12.5; CHAMP-5F-11: 7.9; CHAMP-5F-35L: 15.9; CHAMP-5F-51L: 11.2; CHAMP-5F-52L: 11.5; CHAMP-5F-56L: 9.7; CHAMP-5F-60L: 10.4; CHAMP-5M-27L: 10.6; CHAMP-5M-28L: 7.9; CHAMP-5M-31L: 10.2; CHAMP-5M-32L: 11.7; CHAMP-5M-47L: 15.1; CHAMP-5M-54L: 9.8; CHAMP-5M-58L: 7.9 |
| Insulin | 7 | 6.09 | CHAMP-1F-09L: 156; CHAMP-1F-10L: 179; CHAMP-3F-49L: 110; CHAMP-3M-14: 117; CHAMP-3M-15: 144; CHAMP-3M-30: 166; CHAMP-4M-27L: 156 |
| HOMAIR | 7 | 6.09 | CHAMP-1F-09L: 5.49; CHAMP-1F-10L: 5.61; CHAMP-3F-49L: 4.01; CHAMP-3M-14: 6.44; CHAMP-3M-15: 5.99; CHAMP-3M-30: 4.99; CHAMP-4M-27L: 4.89 |
| TC | 8 | 5.30 | CHAMP-1M-04: 1.29; CHAMP-3F-31: 1.62; CHAMP-3F-34: 1.4; CHAMP-4M-25: 1.29; CHAMP-5F-12: 1.32; CHAMP-5M-58L: 5.87; CHAMP-6M-18: 1.29; CHAMP-6M-21L: 1.47 |
| TG | 7 | 4.83 | CHAMP-1M-04: 2.26; CHAMP-2F-03: 2.5; CHAMP-2F-08: 2.53; CHAMP-2M-11: 2.19; CHAMP-3F-54L: 3.03; CHAMP-3M-15: 2.47; CHAMP-4F-08: 2.4 |
| HDL | 2 | 1.32 | CHAMP-5F-07: 2.28; CHAMP-6M-43L: 2.17 |
| LDL | 4 | 2.80 | CHAMP-4M-26L: 0.66; CHAMP-5M-29L: 3.95; CHAMP-5M-31L: 3.7; CHAMP-5M-58L: 4.43 |
| CRP | 18 | 12.86 | CHAMP-1F-10L: 24.9; CHAMP-2F-14: 22.83; CHAMP-2M-17: 34.3; CHAMP-3F-18: 16.37; CHAMP-3F-26: 24.09; CHAMP-3F-31: 16.44; CHAMP-3M-15: 20.58; CHAMP-3M-30: 26.58; CHAMP-4F-01: 26.01; CHAMP-4F-07: 17.05; CHAMP-4F-15: 34.34; CHAMP-4M-11: 35.38; CHAMP-4M-24: 17.67; CHAMP-5F-09: 22.61; CHAMP-5F-53L: 121.64; CHAMP-5M-01: 42.91; CHAMP-5M-08: 25.01; CHAMP-5M-30L: 23.62 |
| TNF | 5 | 3.23 | CHAMP-3F-51L: 40.3; CHAMP-3M-08: 117.34; CHAMP-3M-52L: 38.77; CHAMP-5F-50L: 108.06; CHAMP-6M-36L: 40.47 |
| IL6 | 21 | 13.64 | CHAMP-1F-05: 11.78; CHAMP-1F-10L: 9.33; CHAMP-1M-04: 44.53; CHAMP-2F-10: 15.9; CHAMP-2F-14: 83.33; CHAMP-2M-17: 21.52; CHAMP-3F-02: 20.01; CHAMP-3F-05: 11.57; CHAMP-3F-26: 10.94; CHAMP-3F-40L: 18.77; CHAMP-3F-47L: 9.99; CHAMP-3M-36L: 10.69; CHAMP-3M-52L: 60.2; CHAMP-4M-02: 10.98; CHAMP-4M-16: 15.36; CHAMP-4M-22: 15.24; CHAMP-5F-13: 21.2; CHAMP-5F-21: 10.1; CHAMP-5M-01: 11.02; CHAMP-5M-17: 10.24; CHAMP-5M-20: 16.24 |
| VO2_absolute | 2 | 1.03 | CHAMP-4M-11: 3.86; CHAMP-5M-34L: 3.83 |
| VO2_relative | 2 | 1.03 | CHAMP-1F-10L: 16.73; CHAMP-5F-45L: 18.91 |
| HR_peak | 0 | 0.00 | NA |
| RER | 3 | 1.55 | CHAMP-1M-02: 1.35; CHAMP-3F-32: 1.34; CHAMP-4M-16: 1.39 |
| MVPA_scaled | 4 | 2.06 | CHAMP-2M-01: 114; CHAMP-4M-22: 114; CHAMP-5M-03: 115.3; CHAMP-6M-18: 152.9 |
| Wear_Time | 6 | 3.09 | CHAMP-3F-31: 570.4; CHAMP-3F-49L: 998.8; CHAMP-5F-53L: 993.9; CHAMP-5M-28L: 1133.3; CHAMP-5M-48L: 1033.6; CHAMP-6F-45L: 642.3 |
| Days_Worn | 20 | 10.31 | CHAMP-2F-03: 3; CHAMP-2M-17: 4; CHAMP-3F-02: 3; CHAMP-3F-05: 4; CHAMP-3F-13: 3; CHAMP-3F-31: 3; CHAMP-3F-32: 3; CHAMP-3F-34: 4; CHAMP-3F-57L: 2; CHAMP-3M-36L: 4; CHAMP-4F-07: 4; CHAMP-4M-25: 4; CHAMP-5F-07: 3; CHAMP-5F-52L: 4; CHAMP-6F-02: 4; CHAMP-6F-45L: 4; CHAMP-6F-52L: 3; CHAMP-6F-53L: 3; CHAMP-6M-32L: 4; CHAMP-6M-36L: 3 |
Objective 1
BMI_RS
| 0 | 1 | |
|---|---|---|
| CNT | 44 | 7 |
| CKD | 6 | 1 |
| CF | 15 | 3 |
| JIA | 39 | 8 |
| IBD | 23 | 1 |
| T1D | 38 | 6 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.7216 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for BMI_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
SBP_RS
| 0 | 1 | |
|---|---|---|
| CNT | 43 | 8 |
| CKD | 5 | 1 |
| CF | 17 | 1 |
| JIA | 40 | 4 |
| IBD | 22 | 1 |
| T1D | 38 | 2 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.4488 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for SBP_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
DBP_RS
| 0 | 1 | |
|---|---|---|
| CNT | 51 | 0 |
| CKD | 4 | 2 |
| CF | 18 | 0 |
| JIA | 42 | 2 |
| IBD | 22 | 1 |
| T1D | 39 | 1 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.01999 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for DBP_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
Glucose_RS
| 0 | 1 | |
|---|---|---|
| CNT | 44 | 0 |
| CKD | 4 | 0 |
| CF | 15 | 1 |
| JIA | 26 | 5 |
| IBD | 19 | 2 |
| T1D | 22 | 13 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.0004998 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for Glucose_RS. Requires at least one observation in each cell.
No valid post-hoc comparisons: zero counts prevented testing.
Ins_RS
| 0 | 1 | |
|---|---|---|
| CNT | 42 | 0 |
| CKD | 2 | 2 |
| CF | 16 | 0 |
| JIA | 29 | 4 |
| IBD | 19 | 1 |
| T1D | 0 | 0 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.002499 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for Ins_RS. Requires at least one observation in each cell.
No valid post-hoc comparisons: zero counts prevented testing.
HOMAIR_RS
| 0 | 1 | |
|---|---|---|
| CNT | 42 | 0 |
| CKD | 2 | 2 |
| CF | 15 | 1 |
| JIA | 26 | 5 |
| IBD | 19 | 1 |
| T1D | 0 | 0 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.004498 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for HOMAIR_RS. Requires at least one observation in each cell.
No valid post-hoc comparisons: zero counts prevented testing.
TC_RS
| 1 | 0 | 2 | |
|---|---|---|---|
| CNT | 5 | 39 | 1 |
| CKD | 1 | 3 | 0 |
| CF | 2 | 13 | 1 |
| JIA | 2 | 30 | 0 |
| IBD | 3 | 17 | 0 |
| T1D | 8 | 22 | 4 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.1574 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for TC_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
TG_RS
| 0 | 2 | 1 | |
|---|---|---|---|
| CNT | 42 | 0 | 2 |
| CKD | 4 | 0 | 0 |
| CF | 13 | 2 | 1 |
| JIA | 25 | 1 | 4 |
| IBD | 16 | 0 | 3 |
| T1D | 30 | 0 | 2 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.2419 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for TG_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
HDL_RS
| 0 | 2 | 1 | |
|---|---|---|---|
| CNT | 22 | 12 | 11 |
| CKD | 3 | 1 | 0 |
| CF | 9 | 4 | 3 |
| JIA | 17 | 6 | 9 |
| IBD | 12 | 4 | 4 |
| T1D | 20 | 5 | 9 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.972 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for HDL_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
LDL_RS
| 1 | 0 | 2 | |
|---|---|---|---|
| CNT | 6 | 37 | 1 |
| CKD | 2 | 1 | 0 |
| CF | 1 | 14 | 1 |
| JIA | 2 | 28 | 0 |
| IBD | 3 | 16 | 0 |
| T1D | 5 | 22 | 4 |
Fisher’s Exact Test
Fisher's Exact Test for Count Data with simulated p-value (based on
2000 replicates)data: tbl p-value = 0.08196 alternative hypothesis: two.sided
Post-hoc Pairwise Comparisons: compare each pair of groups for LDL_RS. Requires at least one observation in each cell.
No significant overall association; post-hoc not shown.
Summary of Fisher’s Exact Test p-values
| variable | p_raw | p_adj |
|---|---|---|
| BMI_RS | 0.722 | 1.000 |
| SBP_RS | 0.449 | 1.000 |
| DBP_RS | 0.020 | 0.200 |
| Glucose_RS | 0.000 | 0.005 |
| Ins_RS | 0.002 | 0.025 |
| HOMAIR_RS | 0.004 | 0.045 |
| TC_RS | 0.157 | 1.000 |
| TG_RS | 0.242 | 1.000 |
| HDL_RS | 0.972 | 1.000 |
| LDL_RS | 0.082 | 0.820 |
Objective 2
cIMT
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) | eta2_p | p_adj |
|---|---|---|---|---|---|---|---|
| Group | 5 | 0.005 | 0.001 | 1.054 | 0.388 | 0.03 | 0.388 |
| YPHV | 1 | 0.005 | 0.005 | 5.331 | 0.022 | NA | NA |
| Sex | 1 | 0.003 | 0.003 | 3.430 | 0.066 | NA | NA |
| SBP | 1 | 0.001 | 0.001 | 1.110 | 0.294 | NA | NA |
| Residuals | 169 | 0.172 | 0.001 | NA | NA | NA | NA |
Model Diagnostics
Residuals vs Fitted
NULL
Normal Q–Q
NULL
Residuals Histogram
$breaks
[1] -0.06 -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 0.10
$counts [1] 16 42 32 34 37 11 5 1
$density [1] 4.4943820 11.7977528 8.9887640 9.5505618 10.3932584 3.0898876 1.4044944 [8] 0.2808989
$mids [1] -0.05 -0.03 -0.01 0.01 0.03 0.05 0.07 0.09
$xname [1] “residuals(model)”
$equidist [1] TRUE
attr(,“class”) [1] “histogram”
No significant Group effect after FDR; no post-hoc shown._
DC
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) | eta2_p | p_adj |
|---|---|---|---|---|---|---|---|
| Group | 5 | 2253.708 | 450.742 | 2.369 | 0.041 | 0.065 | 0.104 |
| YPHV | 1 | 4870.750 | 4870.750 | 25.601 | 0.000 | NA | NA |
| Sex | 1 | 3177.762 | 3177.762 | 16.703 | 0.000 | NA | NA |
| SBP | 1 | 1614.289 | 1614.289 | 8.485 | 0.004 | NA | NA |
| Residuals | 170 | 32343.395 | 190.255 | NA | NA | NA | NA |
Model Diagnostics
Residuals vs Fitted
NULL
Normal Q–Q
NULL
Residuals Histogram
$breaks
[1] -40 -30 -20 -10 0 10 20 30 40 50 60
$counts [1] 3 7 31 53 49 24 10 1 0 1
$density [1] 0.0016759777 0.0039106145 0.0173184358 0.0296089385 0.0273743017 [6] 0.0134078212 0.0055865922 0.0005586592 0.0000000000 0.0005586592
$mids [1] -35 -25 -15 -5 5 15 25 35 45 55
$xname [1] “residuals(model)”
$equidist [1] TRUE
attr(,“class”) [1] “histogram”
No significant Group effect after FDR; no post-hoc shown._
Sif
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) | eta2_p | p_adj |
|---|---|---|---|---|---|---|---|
| Group | 5 | 16.861 | 3.372 | 1.918 | 0.094 | 0.053 | 0.156 |
| YPHV | 1 | 18.798 | 18.798 | 10.693 | 0.001 | NA | NA |
| Sex | 1 | 21.463 | 21.463 | 12.209 | 0.001 | NA | NA |
| SBP | 1 | 0.901 | 0.901 | 0.512 | 0.475 | NA | NA |
| Residuals | 170 | 298.858 | 1.758 | NA | NA | NA | NA |
Model Diagnostics
Residuals vs Fitted
NULL
Normal Q–Q
NULL
Residuals Histogram
$breaks
[1] -2 -1 0 1 2 3 4 5 6
$counts [1] 40 67 40 21 3 6 1 1
$density [1] 0.223463687 0.374301676 0.223463687 0.117318436 0.016759777 0.033519553 [7] 0.005586592 0.005586592
$mids [1] -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5
$xname [1] “residuals(model)”
$equidist [1] TRUE
attr(,“class”) [1] “histogram”
No significant Group effect after FDR; no post-hoc shown._
PWV
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) | eta2_p | p_adj |
|---|---|---|---|---|---|---|---|
| Group | 5 | 1.039 | 0.208 | 1.126 | 0.349 | 0.032 | 0.388 |
| YPHV | 1 | 4.489 | 4.489 | 24.329 | 0.000 | NA | NA |
| Sex | 1 | 1.161 | 1.161 | 6.292 | 0.013 | NA | NA |
| SBP | 1 | 3.073 | 3.073 | 16.657 | 0.000 | NA | NA |
| Residuals | 169 | 31.180 | 0.184 | NA | NA | NA | NA |
Model Diagnostics
Residuals vs Fitted
NULL
Normal Q–Q
NULL
Residuals Histogram
$breaks
[1] -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2
$counts [1] 1 5 10 15 25 29 39 23 18 8 4 1
$density [1] 0.02808989 0.14044944 0.28089888 0.42134831 0.70224719 0.81460674 [7] 1.09550562 0.64606742 0.50561798 0.22471910 0.11235955 0.02808989
$mids [1] -1.1 -0.9 -0.7 -0.5 -0.3 -0.1 0.1 0.3 0.5 0.7 0.9 1.1
$xname [1] “residuals(model)”
$equidist [1] TRUE
attr(,“class”) [1] “histogram”
No significant Group effect after FDR; no post-hoc shown._
RelFMD
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) | eta2_p | p_adj |
|---|---|---|---|---|---|---|---|
| Group | 5 | 102.351 | 20.470 | 2.943 | 0.014 | 0.082 | 0.071 |
| YPHV | 1 | 176.635 | 176.635 | 25.391 | 0.000 | NA | NA |
| Sex | 1 | 44.698 | 44.698 | 6.425 | 0.012 | NA | NA |
| SBP | 1 | 4.370 | 4.370 | 0.628 | 0.429 | NA | NA |
| Residuals | 165 | 1147.854 | 6.957 | NA | NA | NA | NA |
Model Diagnostics
Residuals vs Fitted
NULL
Normal Q–Q
NULL
Residuals Histogram
$breaks
[1] -6 -4 -2 0 2 4 6 8
$counts [1] 7 29 58 42 22 11 5
$density [1] 0.02011494 0.08333333 0.16666667 0.12068966 0.06321839 0.03160920 0.01436782
$mids [1] -5 -3 -1 1 3 5 7
$xname [1] “residuals(model)”
$equidist [1] TRUE
attr(,“class”) [1] “histogram”
No significant Group effect after FDR; no post-hoc shown._
Summary of ANCOVA Group Effects (FDR-corrected)
| variable | p_adj |
|---|---|
| cIMT | 0.388 |
| DC | 0.104 |
| Sif | 0.156 |
| PWV | 0.388 |
| RelFMD | 0.071 |
Objective 3
Correlation matrix
| var1 | var2 | r | p_raw | p_adj |
|---|---|---|---|---|
| DC | Sif | -0.877 | 0.000 | 0.000 |
| DC | BA_BLD | -0.412 | 0.000 | 0.000 |
| Sif | BA_BLD | 0.349 | 0.001 | 0.002 |
| cIMT | RelFMD | 0.298 | 0.004 | 0.006 |
| DC | RelFMD | 0.256 | 0.014 | 0.019 |
| BA_BLD | RelFMD | -0.339 | 0.001 | 0.002 |
| BA_BLD | BMI_percentile | 0.252 | 0.015 | 0.019 |
| DC | SBP | -0.375 | 0.000 | 0.001 |
| PWV | SBP | 0.515 | 0.000 | 0.000 |
| BA_BLD | SBP | 0.457 | 0.000 | 0.000 |
| RelFMD | SBP | -0.306 | 0.003 | 0.005 |
| DC | TG | -0.210 | 0.044 | 0.048 |
| BA_BLD | HDL | -0.205 | 0.049 | 0.049 |
| TG | HDL | -0.346 | 0.001 | 0.002 |
| RelFMD | LDL | 0.226 | 0.030 | 0.035 |
Canonical correlations
| CC | corr |
|---|---|
| 1 | 0.714 |
| 2 | 0.457 |
| 3 | 0.238 |
| 4 | 0.206 |
| 5 | 0.128 |
| 6 | 0.054 |
Objective 4
Outcome distributions
Models
| outcome | W | p_shapiro |
|---|---|---|
| cIMT | 0.958 | 0.000 |
| DC | 0.960 | 0.000 |
| Sif | 0.924 | 0.000 |
| PWV | 0.991 | 0.319 |
| RelFMD | 0.969 | 0.001 |
| BMI_percentile | 0.949 | 0.000 |
| SBP | 0.988 | 0.135 |
| DBP | 0.981 | 0.015 |
| Glucose | 0.715 | 0.000 |
| Insulin | 0.842 | 0.000 |
| HOMAIR | 0.797 | 0.000 |
| TC | 0.969 | 0.002 |
| TG | 0.841 | 0.000 |
| HDL | 0.983 | 0.058 |
| LDL | 0.989 | 0.335 |
##
##
## ### Outcome: cIMT
##
##
##
## Table: Predictor p-values for cIMT (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |cIMT |glm |YPHV | -0.007| 0.003| -2.064| 0.041| 0.288|
## |cIMT |glm |Sex | 0.026| 0.016| 1.616| 0.109| 0.313|
## |cIMT |glm |MVPA_scaled | 0.000| 0.000| -1.338| 0.183| 0.321|
## |cIMT |glm |VO2_relative | 0.002| 0.001| 1.508| 0.134| 0.313|
## |cIMT |glm |CRP | 0.000| 0.001| -0.469| 0.640| 0.756|
## |cIMT |glm |TNF | 0.000| 0.001| -0.053| 0.958| 0.958|
## |cIMT |glm |IL6 | 0.000| 0.001| 0.458| 0.648| 0.756|
##
##
## ### Outcome: DC
##
##
##
## Table: Predictor p-values for DC (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |DC |glm |YPHV | -0.054| 0.011| -4.993| 0.000| 0.000|
## |DC |glm |Sex | -0.209| 0.054| -3.878| 0.000| 0.001|
## |DC |glm |MVPA_scaled | -0.003| 0.001| -2.284| 0.024| 0.056|
## |DC |glm |VO2_relative | 0.005| 0.004| 1.263| 0.209| 0.311|
## |DC |glm |CRP | 0.000| 0.002| -0.166| 0.868| 0.868|
## |DC |glm |TNF | 0.002| 0.002| 0.695| 0.488| 0.570|
## |DC |glm |IL6 | -0.003| 0.003| -1.227| 0.222| 0.311|
##
##
## ### Outcome: Sif
##
##
##
## Table: Predictor p-values for Sif (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |Sif |glm |YPHV | 0.040| 0.011| 3.587| 0.000| 0.003|
## |Sif |glm |Sex | 0.178| 0.055| 3.213| 0.002| 0.006|
## |Sif |glm |MVPA_scaled | 0.002| 0.001| 1.532| 0.128| 0.299|
## |Sif |glm |VO2_relative | -0.004| 0.004| -1.127| 0.262| 0.399|
## |Sif |glm |CRP | -0.001| 0.002| -0.254| 0.800| 0.934|
## |Sif |glm |TNF | 0.000| 0.002| 0.041| 0.968| 0.968|
## |Sif |glm |IL6 | 0.003| 0.003| 1.074| 0.285| 0.399|
##
##
## ### Outcome: PWV
##
##
##
## Table: Predictor p-values for PWV (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |PWV |lm |YPHV | 0.083| 0.017| 4.826| 0.000| 0.000|
## |PWV |lm |Sex | 0.179| 0.085| 2.111| 0.037| 0.129|
## |PWV |lm |MVPA_scaled | -0.001| 0.002| -0.458| 0.648| 0.756|
## |PWV |lm |VO2_relative | 0.002| 0.006| 0.282| 0.778| 0.778|
## |PWV |lm |CRP | 0.003| 0.003| 1.004| 0.318| 0.556|
## |PWV |lm |TNF | -0.008| 0.006| -1.399| 0.164| 0.383|
## |PWV |lm |IL6 | -0.003| 0.005| -0.720| 0.473| 0.662|
##
##
## ### Outcome: RelFMD
##
##
##
## Table: Predictor p-values for RelFMD (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |RelFMD |glm |YPHV | -0.076| 0.014| -5.526| 0.000| 0.000|
## |RelFMD |glm |Sex | -0.108| 0.069| -1.569| 0.119| 0.415|
## |RelFMD |glm |MVPA_scaled | -0.001| 0.002| -0.836| 0.405| 0.472|
## |RelFMD |glm |VO2_relative | 0.005| 0.005| 1.088| 0.279| 0.437|
## |RelFMD |glm |CRP | 0.003| 0.003| 1.015| 0.312| 0.437|
## |RelFMD |glm |TNF | 0.004| 0.003| 1.355| 0.178| 0.415|
## |RelFMD |glm |IL6 | -0.001| 0.004| -0.299| 0.766| 0.766|
##
##
## ### Outcome: BMI_percentile
##
##
##
## Table: Predictor p-values for BMI_percentile (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:--------------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |BMI_percentile |glm |YPHV | 0.002| 0.019| 0.085| 0.932| 0.932|
## |BMI_percentile |glm |Sex | 0.335| 0.097| 3.457| 0.001| 0.003|
## |BMI_percentile |glm |MVPA_scaled | 0.004| 0.002| 1.906| 0.059| 0.120|
## |BMI_percentile |glm |VO2_relative | -0.030| 0.006| -4.648| 0.000| 0.000|
## |BMI_percentile |glm |CRP | 0.005| 0.004| 1.522| 0.130| 0.183|
## |BMI_percentile |glm |TNF | 0.004| 0.004| 0.945| 0.346| 0.404|
## |BMI_percentile |glm |IL6 | -0.009| 0.005| -1.836| 0.069| 0.120|
##
##
## ### Outcome: SBP
##
##
##
## Table: Predictor p-values for SBP (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |SBP |lm |YPHV | 2.061| 0.281| 7.343| 0.000| 0.000|
## |SBP |lm |Sex | 7.021| 1.410| 4.980| 0.000| 0.000|
## |SBP |lm |MVPA_scaled | 0.019| 0.032| 0.592| 0.555| 0.698|
## |SBP |lm |VO2_relative | -0.071| 0.093| -0.760| 0.449| 0.698|
## |SBP |lm |CRP | 0.020| 0.052| 0.389| 0.698| 0.698|
## |SBP |lm |TNF | -0.029| 0.062| -0.472| 0.638| 0.698|
## |SBP |lm |IL6 | -0.047| 0.073| -0.636| 0.526| 0.698|
##
##
## ### Outcome: DBP
##
##
##
## Table: Predictor p-values for DBP (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |DBP |glm |YPHV | 0.016| 0.003| 5.027| 0.000| 0.000|
## |DBP |glm |Sex | -0.011| 0.016| -0.720| 0.473| 0.719|
## |DBP |glm |MVPA_scaled | 0.000| 0.000| 0.314| 0.754| 0.754|
## |DBP |glm |VO2_relative | -0.001| 0.001| -0.569| 0.570| 0.719|
## |DBP |glm |CRP | 0.000| 0.001| 0.707| 0.481| 0.719|
## |DBP |glm |TNF | 0.000| 0.001| 0.503| 0.616| 0.719|
## |DBP |glm |IL6 | -0.001| 0.001| -0.622| 0.535| 0.719|
##
##
## ### Outcome: Glucose
##
##
##
## Table: Predictor p-values for Glucose (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |Glucose |glm |YPHV | 0.014| 0.010| 1.453| 0.149| 0.602|
## |Glucose |glm |Sex | -0.043| 0.047| -0.912| 0.363| 0.602|
## |Glucose |glm |MVPA_scaled | 0.001| 0.001| 0.747| 0.457| 0.602|
## |Glucose |glm |VO2_relative | -0.002| 0.003| -0.624| 0.534| 0.602|
## |Glucose |glm |CRP | -0.002| 0.002| -1.050| 0.296| 0.602|
## |Glucose |glm |TNF | -0.002| 0.002| -0.939| 0.350| 0.602|
## |Glucose |glm |IL6 | -0.001| 0.002| -0.523| 0.602| 0.602|
##
##
## ### Outcome: Insulin
##
##
##
## Table: Predictor p-values for Insulin (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |Insulin |glm |YPHV | 0.040| 0.025| 1.600| 0.113| 0.265|
## |Insulin |glm |Sex | 0.355| 0.126| 2.810| 0.006| 0.022|
## |Insulin |glm |MVPA_scaled | 0.001| 0.003| 0.166| 0.869| 0.932|
## |Insulin |glm |VO2_relative | -0.027| 0.009| -3.072| 0.003| 0.020|
## |Insulin |glm |CRP | 0.004| 0.008| 0.466| 0.643| 0.932|
## |Insulin |glm |TNF | -0.003| 0.009| -0.293| 0.771| 0.932|
## |Insulin |glm |IL6 | -0.001| 0.006| -0.085| 0.932| 0.932|
##
##
## ### Outcome: HOMAIR
##
##
##
## Table: Predictor p-values for HOMAIR (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |HOMAIR |lm |YPHV | 0.043| 0.049| 0.867| 0.388| 0.679|
## |HOMAIR |lm |Sex | 0.595| 0.248| 2.405| 0.018| 0.064|
## |HOMAIR |lm |MVPA_scaled | -0.001| 0.007| -0.083| 0.934| 0.934|
## |HOMAIR |lm |VO2_relative | -0.056| 0.017| -3.245| 0.002| 0.012|
## |HOMAIR |lm |CRP | 0.020| 0.016| 1.257| 0.212| 0.495|
## |HOMAIR |lm |TNF | -0.006| 0.018| -0.313| 0.755| 0.881|
## |HOMAIR |lm |IL6 | -0.009| 0.012| -0.700| 0.486| 0.680|
##
##
## ### Outcome: TC
##
##
##
## Table: Predictor p-values for TC (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |TC |glm |YPHV | -0.011| 0.009| -1.218| 0.226| 0.592|
## |TC |glm |Sex | -0.031| 0.047| -0.664| 0.508| 0.592|
## |TC |glm |MVPA_scaled | -0.002| 0.001| -2.150| 0.034| 0.235|
## |TC |glm |VO2_relative | 0.002| 0.003| 0.673| 0.502| 0.592|
## |TC |glm |CRP | -0.001| 0.002| -0.783| 0.435| 0.592|
## |TC |glm |TNF | 0.002| 0.002| 0.898| 0.371| 0.592|
## |TC |glm |IL6 | 0.001| 0.002| 0.399| 0.691| 0.691|
##
##
## ### Outcome: TG
##
##
##
## Table: Predictor p-values for TG (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |TG |glm |YPHV | 0.037| 0.018| 2.109| 0.037| 0.260|
## |TG |glm |Sex | -0.045| 0.088| -0.508| 0.612| 0.707|
## |TG |glm |MVPA_scaled | 0.001| 0.002| 0.506| 0.614| 0.707|
## |TG |glm |VO2_relative | -0.009| 0.006| -1.485| 0.141| 0.372|
## |TG |glm |CRP | 0.001| 0.003| 0.377| 0.707| 0.707|
## |TG |glm |TNF | -0.005| 0.004| -1.254| 0.213| 0.372|
## |TG |glm |IL6 | -0.006| 0.004| -1.316| 0.191| 0.372|
##
##
## ### Outcome: HDL
##
##
##
## Table: Predictor p-values for HDL (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |HDL |lm |YPHV | -0.013| 0.013| -0.984| 0.327| 0.763|
## |HDL |lm |Sex | -0.085| 0.067| -1.269| 0.207| 0.763|
## |HDL |lm |MVPA_scaled | -0.001| 0.002| -0.629| 0.531| 0.809|
## |HDL |lm |VO2_relative | 0.005| 0.004| 1.081| 0.282| 0.763|
## |HDL |lm |CRP | -0.001| 0.002| -0.209| 0.835| 0.835|
## |HDL |lm |TNF | 0.001| 0.003| 0.396| 0.693| 0.809|
## |HDL |lm |IL6 | 0.002| 0.003| 0.447| 0.656| 0.809|
##
##
## ### Outcome: LDL
##
##
##
## Table: Predictor p-values for LDL (raw & FDR-adjusted)
##
## |outcome |model |term | estimate| std.error| statistic| p.value| p_fdr|
## |:-------|:-----|:------------|--------:|---------:|---------:|-------:|-----:|
## |LDL |lm |YPHV | -0.046| 0.024| -1.914| 0.058| 0.408|
## |LDL |lm |Sex | 0.024| 0.121| 0.197| 0.844| 0.844|
## |LDL |lm |MVPA_scaled | -0.001| 0.003| -0.433| 0.666| 0.793|
## |LDL |lm |VO2_relative | -0.011| 0.009| -1.224| 0.224| 0.522|
## |LDL |lm |CRP | -0.007| 0.004| -1.552| 0.124| 0.433|
## |LDL |lm |TNF | 0.003| 0.005| 0.653| 0.515| 0.793|
## |LDL |lm |IL6 | 0.003| 0.006| 0.414| 0.680| 0.793|Follow up
Obj 2. PWV
## Analysis of Variance Table
##
## Response: PWV
## Df Sum Sq Mean Sq F value Pr(>F)
## Group 5 1.082 0.2163 1.0925 0.3664
## Age 1 5.847 5.8471 29.5329 1.881e-07 ***
## Sex 1 0.288 0.2882 1.4556 0.2293
## Height 1 0.149 0.1490 0.7527 0.3869
## Residuals 170 33.657 0.1980
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # Effect Size for ANOVA (Type I)
##
## Parameter | Eta2 (partial) | 95% CI
## -----------------------------------------
## Group | 0.03 | [0.00, 1.00]
## Age | 0.15 | [0.07, 1.00]
## Sex | 8.49e-03 | [0.00, 1.00]
## Height | 4.41e-03 | [0.00, 1.00]
##
## - One-sided CIs: upper bound fixed at [1.00].##
## Call:
## lm(formula = PWV ~ Group + Age + Sex + Height, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.21784 -0.27230 -0.03019 0.29132 1.39228
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.7320457 0.4643403 8.037 1.48e-13 ***
## GroupCKD 0.3251229 0.1959458 1.659 0.0989 .
## GroupCF 0.0182006 0.1272511 0.143 0.8864
## GroupJIA -0.0007978 0.0958373 -0.008 0.9934
## GroupIBD -0.0489712 0.1190736 -0.411 0.6814
## GroupT1D 0.0152138 0.0984939 0.154 0.8774
## Age 0.0452820 0.0272077 1.664 0.0979 .
## Sex 0.0626109 0.0731228 0.856 0.3931
## Height 0.0041849 0.0048238 0.868 0.3869
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.445 on 170 degrees of freedom
## (15 observations deleted due to missingness)
## Multiple R-squared: 0.1796, Adjusted R-squared: 0.1409
## F-statistic: 4.65 on 8 and 170 DF, p-value: 3.699e-05
Obj 2. RelFMD
## Analysis of Variance Table
##
## Response: RelFMD
## Df Sum Sq Mean Sq F value Pr(>F)
## Group 5 95.91 19.182 2.7461 0.020641 *
## Age 1 178.17 178.168 25.5065 1.152e-06 ***
## Sex 1 14.35 14.350 2.0543 0.153659
## BA_BLD 1 65.85 65.847 9.4266 0.002499 **
## AUC 1 0.86 0.858 0.1228 0.726460
## Residuals 166 1159.54 6.985
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # Effect Size for ANOVA (Type I)
##
## Parameter | Eta2 (partial) | 95% CI
## -----------------------------------------
## Group | 0.08 | [0.01, 1.00]
## Age | 0.13 | [0.06, 1.00]
## Sex | 0.01 | [0.00, 1.00]
## BA_BLD | 0.05 | [0.01, 1.00]
## AUC | 7.39e-04 | [0.00, 1.00]
##
## - One-sided CIs: upper bound fixed at [1.00].##
## Call:
## lm(formula = RelFMD ~ Group + Age + Sex + BA_BLD + AUC, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7308 -1.9097 -0.0962 1.4908 6.8470
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.565e+01 1.485e+00 10.539 < 2e-16 ***
## GroupCKD -9.640e-01 1.159e+00 -0.832 0.40685
## GroupCF -7.251e-01 7.615e-01 -0.952 0.34238
## GroupJIA -8.520e-02 5.904e-01 -0.144 0.88544
## GroupIBD -1.759e+00 7.084e-01 -2.483 0.01404 *
## GroupT1D -1.773e-01 5.903e-01 -0.300 0.76426
## Age -2.216e-01 8.982e-02 -2.467 0.01464 *
## Sex 5.091e-02 4.640e-01 0.110 0.91278
## BA_BLD -1.750e+00 5.739e-01 -3.050 0.00267 **
## AUC 1.852e-06 5.284e-06 0.350 0.72646
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.643 on 166 degrees of freedom
## (18 observations deleted due to missingness)
## Multiple R-squared: 0.2345, Adjusted R-squared: 0.193
## F-statistic: 5.649 on 9 and 166 DF, p-value: 8.258e-07
Obj. 2 CIMT
## Analysis of Variance Table
##
## Response: cIMT
## Df Sum Sq Mean Sq F value Pr(>F)
## Group 5 0.005372 0.0010743 1.0540 0.38786
## YPHV 1 0.005434 0.0054335 5.3307 0.02216 *
## Sex 1 0.003496 0.0034959 3.4298 0.06578 .
## SBP 1 0.001131 0.0011310 1.1096 0.29366
## Residuals 169 0.172260 0.0010193
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # Effect Size for ANOVA (Type I)
##
## Parameter | Eta2 (partial) | 95% CI
## -----------------------------------------
## Group | 0.03 | [0.00, 1.00]
## YPHV | 0.03 | [0.00, 1.00]
## Sex | 0.02 | [0.00, 1.00]
## SBP | 6.52e-03 | [0.00, 1.00]
##
## - One-sided CIs: upper bound fixed at [1.00].##
## Call:
## lm(formula = cIMT ~ Group + YPHV + Sex + SBP, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.056549 -0.028360 -0.000568 0.024608 0.080574
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.4122316 0.0344289 11.973 <2e-16 ***
## GroupCKD 0.0152420 0.0141739 1.075 0.2837
## GroupCF 0.0176962 0.0090134 1.963 0.0512 .
## GroupJIA 0.0084557 0.0068167 1.240 0.2165
## GroupIBD -0.0007402 0.0082909 -0.089 0.9290
## GroupT1D 0.0060791 0.0070293 0.865 0.3884
## YPHV -0.0010348 0.0012500 -0.828 0.4089
## Sex 0.0120080 0.0056652 2.120 0.0355 *
## SBP -0.0003538 0.0003359 -1.053 0.2937
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.03193 on 169 degrees of freedom
## (16 observations deleted due to missingness)
## Multiple R-squared: 0.08222, Adjusted R-squared: 0.03877
## F-statistic: 1.892 on 8 and 169 DF, p-value: 0.06411
Obj2. DC
## Analysis of Variance Table
##
## Response: DC
## Df Sum Sq Mean Sq F value Pr(>F)
## Group 5 2254 450.7 2.3691 0.041480 *
## YPHV 1 4871 4870.8 25.6011 1.081e-06 ***
## Sex 1 3178 3177.8 16.7026 6.728e-05 ***
## SBP 1 1614 1614.3 8.4849 0.004062 **
## Residuals 170 32343 190.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # Effect Size for ANOVA (Type I)
##
## Parameter | Eta2 (partial) | 95% CI
## -----------------------------------------
## Group | 0.07 | [0.00, 1.00]
## YPHV | 0.13 | [0.06, 1.00]
## Sex | 0.09 | [0.03, 1.00]
## SBP | 0.05 | [0.01, 1.00]
##
## - One-sided CIs: upper bound fixed at [1.00].##
## Call:
## lm(formula = DC ~ Group + YPHV + Sex + SBP, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.091 -8.360 -0.908 7.210 57.490
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 98.9497 14.8595 6.659 3.66e-10 ***
## GroupCKD 0.2024 6.1149 0.033 0.973640
## GroupCF -10.5591 3.8816 -2.720 0.007200 **
## GroupJIA -6.3420 2.9298 -2.165 0.031809 *
## GroupIBD -3.1165 3.5746 -0.872 0.384524
## GroupT1D -4.3845 3.0299 -1.447 0.149715
## YPHV -1.8412 0.5387 -3.418 0.000789 ***
## Sex -6.2010 2.4366 -2.545 0.011821 *
## SBP -0.4226 0.1451 -2.913 0.004062 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 13.79 on 170 degrees of freedom
## (15 observations deleted due to missingness)
## Multiple R-squared: 0.2692, Adjusted R-squared: 0.2349
## F-statistic: 7.829 on 8 and 170 DF, p-value: 6.214e-09
Obj 2. Sif
## Analysis of Variance Table
##
## Response: Sif
## Df Sum Sq Mean Sq F value Pr(>F)
## Group 5 16.861 3.3723 1.9183 0.0937122 .
## YPHV 1 18.798 18.7981 10.6930 0.0013019 **
## Sex 1 21.463 21.4634 12.2090 0.0006064 ***
## SBP 1 0.901 0.9006 0.5123 0.4751225
## Residuals 170 298.858 1.7580
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## # Effect Size for ANOVA (Type I)
##
## Parameter | Eta2 (partial) | 95% CI
## -----------------------------------------
## Group | 0.05 | [0.00, 1.00]
## YPHV | 0.06 | [0.01, 1.00]
## Sex | 0.07 | [0.02, 1.00]
## SBP | 3.00e-03 | [0.00, 1.00]
##
## - One-sided CIs: upper bound fixed at [1.00].##
## Call:
## lm(formula = Sif ~ Group + YPHV + Sex + SBP, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.9061 -0.8704 -0.2668 0.6112 5.1721
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.910286 1.428379 2.037 0.04315 *
## GroupCKD -0.395399 0.587802 -0.673 0.50207
## GroupCF 0.773846 0.373119 2.074 0.03959 *
## GroupJIA 0.591272 0.281627 2.099 0.03725 *
## GroupIBD 0.123176 0.343615 0.358 0.72044
## GroupT1D 0.311020 0.291250 1.068 0.28709
## YPHV 0.157935 0.051780 3.050 0.00265 **
## Sex 0.679031 0.234225 2.899 0.00424 **
## SBP 0.009982 0.013946 0.716 0.47512
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.326 on 170 degrees of freedom
## (15 observations deleted due to missingness)
## Multiple R-squared: 0.1626, Adjusted R-squared: 0.1232
## F-statistic: 4.126 on 8 and 170 DF, p-value: 0.0001598
Obj 2. FDR for “Group”
| Outcome | Raw_p | FDR_p | |
|---|---|---|---|
| PWV | PWV | 0.3664 | 0.3879 |
| RelFMD | RelFMD | 0.0206 | 0.1032 |
| cIMT | cIMT | 0.3879 | 0.3879 |
| DC | DC | 0.0415 | 0.1037 |
| Sif | Sif | 0.0937 | 0.1562 |
Obj. 3. Correlations
| var1 | var2 | r | p_raw | method | is_pearson | p_adj |
|---|---|---|---|---|---|---|
| DC | Sif | -0.953 | 0.000 | spearman | FALSE | 0.000 |
| PWV | SBP | 0.515 | 0.000 | pearson | TRUE | 0.000 |
| BA_BLD | SBP | 0.457 | 0.000 | pearson | TRUE | 0.000 |
| DC | BA_BLD | -0.412 | 0.000 | pearson | TRUE | 0.001 |
| TG | HDL | -0.395 | 0.000 | spearman | FALSE | 0.001 |
| DC | SBP | -0.375 | 0.000 | pearson | TRUE | 0.003 |
| Sif | BA_BLD | 0.356 | 0.001 | spearman | FALSE | 0.005 |
| RelFMD | SBP | -0.335 | 0.001 | spearman | FALSE | 0.009 |
| cIMT | RelFMD | 0.310 | 0.003 | spearman | FALSE | 0.020 |
| BA_BLD | RelFMD | -0.302 | 0.004 | spearman | FALSE | 0.023 |
| BA_BLD | BMI_percentile | 0.276 | 0.008 | spearman | FALSE | 0.046 |
| SBP | Glucose | 0.246 | 0.018 | spearman | FALSE | 0.099 |
| RelFMD | LDL | 0.230 | 0.027 | spearman | FALSE | 0.138 |
| DC | RelFMD | 0.216 | 0.039 | spearman | FALSE | 0.170 |
| BA_BLD | HDL | -0.217 | 0.038 | spearman | FALSE | 0.170 |
| cIMT | SBP | -0.205 | 0.050 | spearman | FALSE | 0.207 |
| Glucose | LDL | 0.197 | 0.060 | spearman | FALSE | 0.234 |
| BMI_percentile | SBP | 0.191 | 0.068 | spearman | FALSE | 0.248 |
| PWV | Glucose | 0.177 | 0.091 | spearman | FALSE | 0.315 |
| Sif | SBP | 0.168 | 0.110 | spearman | FALSE | 0.364 |
| cIMT | BMI_percentile | -0.163 | 0.119 | spearman | FALSE | 0.365 |
| HDL | LDL | 0.163 | 0.122 | spearman | FALSE | 0.365 |
| PWV | TG | 0.159 | 0.131 | spearman | FALSE | 0.375 |
| cIMT | BA_BLD | -0.150 | 0.152 | spearman | FALSE | 0.418 |
| DC | HDL | 0.148 | 0.159 | spearman | FALSE | 0.420 |
| Sif | RelFMD | -0.144 | 0.172 | spearman | FALSE | 0.420 |
| Sif | HDL | -0.144 | 0.170 | spearman | FALSE | 0.420 |
| SBP | TG | 0.134 | 0.202 | spearman | FALSE | 0.477 |
| DC | TG | -0.132 | 0.211 | spearman | FALSE | 0.481 |
| cIMT | Glucose | -0.129 | 0.219 | spearman | FALSE | 0.482 |
| PWV | BA_BLD | 0.121 | 0.250 | pearson | TRUE | 0.532 |
| Sif | BMI_percentile | -0.116 | 0.272 | spearman | FALSE | 0.552 |
| PWV | RelFMD | -0.113 | 0.284 | spearman | FALSE | 0.552 |
| PWV | HDL | 0.113 | 0.282 | spearman | FALSE | 0.552 |
| cIMT | LDL | 0.108 | 0.308 | spearman | FALSE | 0.564 |
| DC | PWV | -0.108 | 0.306 | pearson | TRUE | 0.564 |
| BA_BLD | LDL | -0.104 | 0.324 | pearson | TRUE | 0.578 |
| Sif | TG | 0.088 | 0.402 | spearman | FALSE | 0.681 |
| Glucose | TG | 0.090 | 0.394 | spearman | FALSE | 0.681 |
| SBP | LDL | -0.086 | 0.417 | pearson | TRUE | 0.688 |
| PWV | BMI_percentile | -0.080 | 0.451 | spearman | FALSE | 0.726 |
| BA_BLD | Glucose | 0.076 | 0.472 | spearman | FALSE | 0.742 |
| Glucose | HDL | 0.072 | 0.492 | spearman | FALSE | 0.756 |
| cIMT | TG | -0.070 | 0.504 | spearman | FALSE | 0.757 |
| cIMT | HDL | -0.061 | 0.565 | spearman | FALSE | 0.815 |
| DC | LDL | -0.060 | 0.568 | pearson | TRUE | 0.815 |
| RelFMD | HDL | -0.048 | 0.646 | spearman | FALSE | 0.908 |
| cIMT | PWV | -0.040 | 0.703 | spearman | FALSE | 0.910 |
| DC | BMI_percentile | 0.039 | 0.711 | spearman | FALSE | 0.910 |
| DC | Glucose | -0.043 | 0.686 | spearman | FALSE | 0.910 |
| Sif | LDL | 0.037 | 0.725 | spearman | FALSE | 0.910 |
| BMI_percentile | TG | 0.036 | 0.730 | spearman | FALSE | 0.910 |
| SBP | HDL | -0.039 | 0.710 | spearman | FALSE | 0.910 |
| BMI_percentile | HDL | -0.034 | 0.744 | spearman | FALSE | 0.910 |
| cIMT | Sif | 0.032 | 0.762 | spearman | FALSE | 0.912 |
| TG | LDL | 0.030 | 0.774 | spearman | FALSE | 0.912 |
| RelFMD | BMI_percentile | 0.022 | 0.838 | spearman | FALSE | 0.971 |
| Sif | Glucose | 0.007 | 0.949 | spearman | FALSE | 0.986 |
| PWV | LDL | 0.006 | 0.957 | pearson | TRUE | 0.986 |
| BA_BLD | TG | 0.017 | 0.876 | spearman | FALSE | 0.986 |
| RelFMD | Glucose | -0.012 | 0.907 | spearman | FALSE | 0.986 |
| RelFMD | TG | -0.008 | 0.938 | spearman | FALSE | 0.986 |
| BMI_percentile | Glucose | -0.008 | 0.936 | spearman | FALSE | 0.986 |
| BMI_percentile | LDL | 0.007 | 0.945 | spearman | FALSE | 0.986 |
| cIMT | DC | 0.002 | 0.988 | spearman | FALSE | 0.988 |
| Sif | PWV | 0.002 | 0.983 | spearman | FALSE | 0.988 |