Table 2 Regression coefficient between the change in WC and factors related to WC increase by generalized linear models: Population-based retrospective study of Japan from 2008 to 2017 in Japan
Dependent variables | Independent variables | B | SE | 95% CI | p |
|---|---|---|---|---|---|
WC | Intercept | 4.386 | 0.013 | 4.36–4.41 |  < .001 |
Sex | 0.062 | 0.010 | 0.04–0.08 |  < .001 | |
Age | 0.010 | 0.026 | -0.04–0.06 | .710 | |
Baseline Waist | -0.015 | 0.010 | -0.03–0.00 | .134 | |
Smoking status | -0.010 | 0.014 | -0.04–0.02 | .475 | |
Regular exercise | -0.006 | 0.009 | -0.02–0.01 | .500 | |
Skipping breakfast | -0.007 | 0.019 | -0.04–0.03 | .720 | |
Drinking alcohol | -0.017 | 0.012 | -0.04–0.01 | .147 | |
AIC 5410.2 | |||||
TG | Intercept | 4.068 | 0.281 | 3.53–4.61 |  < .001 |
Sex | 0.272 | 0.043 | 0.19–0.36 |  < .001 | |
Age | -0.117 | 0.128 | -0.36–0.13 | .359 | |
Baseline Waist | -0.012 | 0.052 | -0.12–0.09 | .815 | |
Waist ratio | 0.570 | 0.263 | 0.06–1.07 | .030 | |
AIC 8307.7 | |||||
HDL | Intercept | 4.473 | 0.113 | 4.25–4.70 | .001 |
Sex | -0.177 | 0.021 | -0.22–-0.14 |  < .001 | |
Age | -0.053 | 0.055 | -0.16–0.06 | .335 | |
Baseline Waist | 0.009 | 0.021 | -0.03–0.05 | .683 | |
Waist ratio | -0.147 | 0.107 | -0.36–0.06 | .169 | |
AIC 6351.3 | |||||
LDL | Intercept | 4.694 | 0.103 | 4.50–4.89 |  < .001 |
Sex | -0.045 | 0.018 | -0.08–-0.01 | .012 | |
Age | 0.067 | 0.050 | -0.03–0.16 | .184 | |
Baseline Waist | -0.022 | 0.020 | -0.06–0.02 | .261 | |
Waist ratio | 0.195 | 0.096 | 0.01–0.38 | .043 | |
AIC 7151.9 | |||||