Table 4.
Linear regression analyses above and below threshold in females
| Females <38.3% Body Fat | Females >=38.3% Body Fat | ||||||
|---|---|---|---|---|---|---|---|
| Variable | Standard Coeff. | SE | p-value | Variable | Standard Coeff. | SE | p-value |
| logTG (Model* R2= 0.085) | logTG (Model* R2=0.179) | ||||||
| VAT | 0.19 | 0.12 | 0.113 | VAT | 0.54† | 0.10 | <0.001 |
| TFM | −0.02 | 0.12 | 0.885 | TFM | −0.28† | 0.10 | 0.005 |
| HDL-C (Model* R2=0.195) | HDL-C (Model* R2=0.176) | ||||||
| VAT | −0.14 | 0.11 | 0.214 | VAT | −0.35† | 0.10 | <0.001 |
| TFM | −0.05 | 0.11 | 0.634 | TFM | 0.01 | 0.10 | 0.883 |
| Insulin Sensitivity M/lbm (Model*R2= 0.096) | Insulin Sensitivity M/lbm (Model*R2= 0.243) | ||||||
| VAT | −0.14 | 0.13 | 0.251 | VAT | −0.54† | 0.11 | <0.001 |
| TFM | 0.27 | 0.13 | 0.04 | TFM | 0.20 | 0.10 | 0.05 |
| Cholesterol (Model* R2= 0.162) | Cholesterol ( Model* R2= 0.049) | ||||||
| VAT | 0.25 | 0.12 | 0.035 | VAT | 0.10† | 0.10 | 0.306 |
| TFM | −0.11 | 0.12 | 0.344 | TFM | −0.08 | 0.10 | 0.419 |
| LDL-C (Model R2= 0.107) | LDL-C (Model R2= 0.013) | ||||||
| VAT | 0.37 | 0.11 | 0.001 | VAT | 0.13† | 0.10 | 0.209 |
| TFM | −0.13 | 0.11 | 0.248 | TFM | −0.03 | 0.11 | 0.805 |
| SBP (Model* R2= 0.117) | SBP (Model* R2= 0.308) | ||||||
| VAT | 0.08 | 0.13 | 0.541 | VAT | −0.03 | 0.10 | 0.761 |
| TFM | 0.03 | 0.13 | 0.813 | TFM | 0.31† | 0.09 | <0.001 |
| DBP (Model R2= 0.010) | DBP (Model* R2= 0.133) | ||||||
| VAT | 0.11 | 0.13 | 0.382 | VAT | −0.03 | 0.11 | 0.774 |
| TFM | −0.08 | 0.12 | 0.526 | TFM | 0.23† | 0.11 | 0.033 |
| Glucose (Model R2=0.007) | Glucose (Model* R2=0.057) | ||||||
| VAT | 0.07 | 0.12 | 0.531 | VAT | 0.11 | 0.11 | 0.306 |
| TFM | 0.02 | 0.12 | 0.898 | TFM | 0.06 | 0.11 | 0.567 |
| Insulin (Model R2= 0.130) | Insulin ( Model R2= 0.263) | ||||||
| VAT | 0.03 | 0.11 | 0.678 | VAT | 0.11 | 0.11 | 0.306 |
| Subcutaneous Fat | 0.33 | 0.11 | 0.003 | TFM | 0.06† | 0.11 | 0.567 |
VAT = Visceral Adipose tissue, TFM = Total Fat Mass, subcutaneous fat = subcutaneous abdominal fat
Indicates if coefficients are significantly different between models above and below threshold (p<0.01)
indicates other covariates factors were significantly associated in the model
For all models where Study was significant PHPBC study (17) had a higher intercept than the Insulin study (16).
Models for females above ≥38.3%: TG – Being on birth control>no birth control; HDL – Study and being a current smoker > quit>never smoked; M/LBM – Being on birth control > no birth control and Study; Chol – Study; SBP – Study; DBP – Study; Glucose - Race (other>AA=Caucasian)
Models for females below <38.3%i TG – Study; HDL – Study; M/lbm – Study; Chol – Study; SBP – Study