Key result
Central adiposity, particularly baseline waist-to-height ratio, increased the odds of incident hypertension by 65% per standard deviation increase, with DXA providing no added predictive benefit.
Why the study?
Do different measures of body composition and fat distribution predict incident hypertension in urban Black South African women?
Population
478 non-hypertensive urban Black South African women, aged 29-53 years
Design
Cohort
Follow-up
8.3 years
Authors
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High hypertension incidence signals need for closer monitoring in similar cohorts; leaves open whether central adiposity independently predicts risk.
Cohort (n=478)
No
Do different measures of body composition and fat distribution predict incident hypertension in urban Black South African women?
Odds Ratio: 1.65 (95% CI 1.31–2.08)
p-value: p=<0.0001
In urban Black South African women, baseline blood pressure is the strongest predictor of incident hypertension, and simple anthropometric measures of central adiposity are sufficient for risk assessment without the need for DXA.
George et al. (2016) conducted a cohort in Hypertension (n=478). Central adiposity (waist-to-height ratio) vs. Lower adiposity was evaluated on Incident hypertension (OR 1.65, 95% CI 1.31-2.08, p=<0.0001). Central adiposity, particularly baseline waist-to-height ratio, increased the odds of incident hypertension by 65% per standard deviation increase, with DXA providing no added predictive benefit.
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