Additional file 1: of The association between high-sensitivity C-reactive protein and metabolic risk factors in black and white South African women: a cross-sectional study

Table S1. Adjusted associations between insulin resistance (HOMA-IR) and hsCRP in black and white South African women. Data represents β-coefficients [95% confidence interval] and adjusted-R2. Model 1: hsCRP + age + race/ethnicity + (hsCRP x race/ethnicity interaction); Model 2: (Model 1) + SES + lifestyle factors; Model 3: (Model 2) + WC. hsCRP, C-reactive protein; hsCRP x race/ethnicity, interaction between hsCRP and race/ethnicity; WC, waist circumference; SES, socio-economic status; ln(HOMA-IR), natural log of homeostatic model assessment. *p < 0.05 and **p < 0.001 (PDF 1343 kb

Additional file 2: of The association between high-sensitivity C-reactive protein and metabolic risk factors in black and white South African women: a cross-sectional study

Table S2. Adjusted associations between triglycerides and hsCRP in black and white South African women. Data represents β-coefficients [95% confidence interval] and adjusted-R2. Model 1: hsCRP + age + race/ethnicity + (hsCRP x race/ethnicity interaction); Model 2: (Model 1) + SES + lifestyle factors; Model 3: (Model 2) + WC. hsCRP, C-reactive protein; hsCRP x race/ethnicity, interaction between hsCRP and race/ethnicity; WC, waist circumference; SES, socio-economic status; ln(TG), natural log of triglycerides. *p < 0.05 and **p < 0.001 (PDF 545 kb

Additional file 3: of The association between high-sensitivity C-reactive protein and metabolic risk factors in black and white South African women: a cross-sectional study

Table S3. Adjusted associations between total cholesterol and hsCRP in black and white South African women. Data represents β-coefficients [95% confidence interval] and adjusted-R2. Model 1: hsCRP + age + race/ethnicity + (hsCRP x race/ethnicity interaction); Model 2: (Model 1) + SES + lifestyle factors; Model 3: (Model 2) + WC. hsCRP, C-reactive protein; hsCRP x race/ethnicity, interaction between hsCRP and race/ethnicity; WC, waist circumference; SES, socio-economic status; ln(TC), natural log of total cholesterol. *p < 0.05 and **p < 0.001 (PDF 542 kb

Additional file 4: of The association between high-sensitivity C-reactive protein and metabolic risk factors in black and white South African women: a cross-sectional study

Table S4. Adjusted associations between HDL-C and hsCRP in black and white South African women. Data represents β-coefficients [95% confidence interval] and adjusted-R2. Model 1: hsCRP + age + race/ethnicity + (hsCRP x race/ethnicity interaction); Model 2: (Model 1) + SES + lifestyle factors; Model 3: (Model 2) + WC. hsCRP, C-reactive protein; hsCRP x race/ethnicity, interaction between hsCRP and race/ethnicity; WC, waist circumference; SES, socio-economic status; ln(HDL-C), natural log of high-density lipoprotein cholesterol. *p < 0.05 and **p < 0.001 (PDF 549 kb

Additional file 5: of The association between high-sensitivity C-reactive protein and metabolic risk factors in black and white South African women: a cross-sectional study

Table S5. Adjusted associations between LDL-C and hsCRP in black and white South African women. Data represents β-coefficients [95% confidence interval] and adjusted-R2. Model 1: hsCRP + age + race/ethnicity + (hsCRP x race/ethnicity interaction); Model 2: (Model 1) + SES + lifestyle factors; Model 3: (Model 2) + WC. hsCRP, C-reactive protein; hsCRP x race/ethnicity, interaction between hsCRP and race/ethnicity; WC, waist circumference; SES, socio-economic status; ln(LDL-C), natural log of low-density lipoprotein cholesterol. *p < 0.05 and **p < 0.001. (PDF 565 kb

Regression coefficients from multiple robust linear models for the prediction of blood pressure at follow-up by DXA-derived measures, accounting for potential effects of age.

<p>Regression coefficients from multiple robust linear models for the prediction of blood pressure at follow-up by DXA-derived measures, accounting for potential effects of age.</p

Sample selection flow chart.

<p>Sample selection flow chart.</p

Anthropometric-derived measures of body composition as predictors of hypertension at follow-up (n = 473).

<p>Anthropometric-derived measures of body composition as predictors of hypertension at follow-up (n = 473).</p

Subject characteristics at baseline and follow-up.

<p>Subject characteristics at baseline and follow-up.</p

DXA-derived measures of body composition as predictors of hypertension at follow-up (n = 273).

<p>DXA-derived measures of body composition as predictors of hypertension at follow-up (n = 273).</p