[Table/Fig-6]:
Sex | Dependent (outcome) variables | Independent (predictor) variables | Beta (β) | p-value | Model R2 |
---|---|---|---|---|---|
Male | TC | Age | 0.272 | 0.28 | |
BMI | 0.462 | 0.73 | 0.032 | ||
WC | 0.553 | 0.43 | |||
TGL | Age | - 0.278 | 0.35 | ||
BMI | 0.957 | < 0.01 | 0.175** | ||
WC | 2.39 | 0.55 | |||
LDL-C | Age | 0.159 | 0.49 | ||
BMI | 1.326 | 0.29 | 0.056 | ||
WC | 0.517 | 0.43 | |||
HDL-C | Age | 0.165 | 0.13 | ||
BMI | -1.020 | 0.13 | 0.162** | ||
WC | -0.462 | 0.08 | |||
Female | TC | Age | 0.588 | 0.09 | |
BMI | 0.713 | 0.69 | 0.045 | ||
WC | -0.305 | 0.74 | |||
TGL | Age | 0.027 | 0.95 | ||
BMI | -3.821 | 0.09 | 0.235** | ||
WC | 4.153 | < 0.01 | |||
LDL-C | Age | 0.391 | 0.19 | ||
BMI | 0.737 | 0.65 | 0.135* | ||
WC | 0.816 | 0.32 | |||
HDL-C | Age | 0.137 | 0.32 | ||
BMI | 0.267 | 0.71 | 0.336** | ||
WC | -1.324 | < 0.01 |
R2: co-efficient of determination, β (beta): regression co-efficient. R2 explains the percent of variance in the lipid parameters that was explained by including age, BMI and WC as predictor variables in the regression models. (*p < 0.05, i.e. statistically significant, **p < 0.01, i.e. statistically highly significant).