Hypertension | OR | SE | z |
pvalue | 95% CI | Model |
|---|
| Â | Â | Â | Â | Â | Lower | Upper | pseudo-R
2
|
|---|
A
| Â | Â | Â | Â | Â | Â | Â | Â |
VAT | 2.08 | 0.16 | 9.5 | <2 × 10-16
| 1.79 | 2.42 | 0.08 |
DXA abdominal fat | 1.77 | 0.14 | 7.4 | 6 × 10-14
| 1.53 | 2.07 | 0.05 |
BMI | 1.77 | 0.13 | 7.7 | 6 × 10-15
| 1.53 | 2.05 | 0.06 |
Age | 1.07 | 0.01 | 6.4 | 6 × 10-11
| 1.05 | 1.09 | 0.05 |
B
| Â | Â | Â | Â | Â | Â | Â | Â |
VAT | 1.90 | 0.17 | 7.4 | 9 × 10-14
| 1.60 | 2.25 | 0.10 |
|  | Age | 1.04 | 0.01 | 4.0 | 4 × 10-5
| 1.02 | 1.07 | Â |
- The study sample prevalence estimate (females > = 40 years) for hypertension = 0.08. Logistic regressions (n = 2032) showing unadjusted ORs (A) and best fit multiple regression model including visceral adipose fat (VAT) area and age (B). For evidence of the presented best-fit model and an analysis of residuals to account for co-linearity between adiposity variables, see Additional file 1: Tables S4 and S5, respectively. Explanatory variables VAT, DXA and BMI are all standardised, implying a change in odds ratio per unit SD change. Year of visit was categorised as quintiles and included in all HT analyses as a categorical confounding variable. See Table 6 legend for an explanation of pseudo-R
2. Abbreviation: CI, confidence interval.
