Higher altitude (per 1-km increase) was associated with decreased body fat-defined obesity in rural women (PR 0.88; 95% CI 0.86-0.90) and rural men (PR 0.81; 95% CI 0.77-0.86).
Cross-Sectional (n=36,727)
Yes
Is higher altitude associated with a lower prevalence of body fat-defined obesity in Peruvian adults?
Higher altitude is inversely associated with the prevalence of body fat-defined obesity in Peruvian adults, particularly in rural areas.
Effect estimate: PR 0.88 (women), PR 0.81 (men) (95% CI 0.86-0.90 (women), 0.77-0.86 (men))
p-value: p=<0.001
Woolcott, Orison O., Till Seuring, and Oscar A. Castillo. Lower prevalence of body fat-defined obesity at higher altitudes in Peruvian adults. High Alt Med Biol . 24:214–222, 2023. Background: Previous studies have reported a lower prevalence of obesity (defined as a body mass index BMI ≥30 kg/m 2 ) in populations from higher altitudes. Since BMI does not distinguish fat mass and fat-free mass, it is unclear whether there is an inverse association between altitude and body fat-defined obesity. Methods: We performed an analysis of cross-sectional data to examine the association between altitude and body fat-defined obesity (as opposed to BMI-defined obesity) using individual-level data from a nationally representative sample of the Peruvian adult population living between 0 and 5,400 m altitude. Body fat-defined obesity was diagnosed using the relative fat mass (RFM), an anthropometric index validated to estimate whole-body fat percentage. RFM cutoffs for obesity diagnosis were ≥40% for women and ≥30% for men. We utilized Poisson regression to estimate the prevalence ratio and confidence intervals (CIs) as the measure of the association, adjusting for age, cigarette use, and diabetes. Results: Analysis comprised 36,727 individuals (median age, 39 years; 50.1% women). In rural areas, for a one-km increase in altitude, the prevalence of body fat-defined obesity decreased by 12% among women (adjusted prevalence ratio: 0.88; 95% CI, 0.86 − 0.90; p < 0.001) and 19% among men (adjusted prevalence ratio: 0.81; 95% CI, 0.77 − 0.86; p < 0.001), on average, when all the other variables were held constant. The inverse association between altitude and obesity was less strong in urban areas than in rural areas but remained significant among women ( p = 0.001) and men ( p < 0.001). However, the relationship between altitude and obesity in women who live in urban areas appears to be nonlinear. Conclusions: In Peruvian adults, the prevalence of body fat-defined obesity was inversely associated with altitude. Whether this inverse association is explained by altitude per se or confounded by socioeconomic or other environmental factors, or differences in race/ethnicity or lifestyle, warrants further investigation.
Woolcott et al. (Fri,) conducted a cross-sectional in Body fat-defined obesity (n=36,727). Altitude was evaluated on Prevalence of body fat-defined obesity (PR 0.88 (women), PR 0.81 (men), 95% CI 0.86-0.90 (women), 0.77-0.86 (men), p=<0.001). Higher altitude (per 1-km increase) was associated with decreased body fat-defined obesity in rural women (PR 0.88; 95% CI 0.86-0.90) and rural men (PR 0.81; 95% CI 0.77-0.86).
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