Table 5.
The correlations of anthropometric indices with SBP and DBP levels from the multiple linear regression model
| Adiposity indices | SBP | DBP | ||
|---|---|---|---|---|
| β | P | β | P | |
| Mena | ||||
| BMI | 0.004 | 0.989 | 0.176 | 0.532 |
| HC | − 0.002 | 0.975 | − 0.023 | 0.737 |
| WC | 0.140 | 0.081 | 0.100 | 0.247 |
| VAT | 0.444 | < 0.001 | 0.146 | 0.021 |
| SAT | − 0.078 | 0.143 | − 0.020 | 0.724 |
| Womenb | ||||
| BMI | − 0.120 | 0.753 | 0.451 | 0.275 |
| HC | 0.051 | 0.315 | − 0.053 | 0.335 |
| WC | 0.148 | 0.007 | 0.198 | 0.001 |
| VAT | 0.309 | < 0.001 | 0.099 | 0.034 |
| SAT | − 0.105 | 0.009 | − 0.019 | 0.663 |
BMI body mass index, WC waist circumference, HC hip circumference, VAT visceral adipose tissue, SAT subcutaneous adipose tissue, SBP systolic blood pressure, DBP diastolic blood pressure
aIn men, the R2 value in the model analysis of SBP and other covariates was 0.228; the R2 value in the model analysis of DBP and other covariates was 0.096
bIn women, the R2 value in the model analysis of SBP and other covariates was 0.220; the R2 value in the model analysis of DBP and other covariates was 0.094