BackgroundHeart failure (HF) is a serious condition with increasing prevalence, high morbidity, and increased mortality. Obesity is an established risk factor for HF. Fluctuation in body mass index (BMI) has shown a higher risk of cardiovascular outcomes. We investigated the association between BMI variability and incident HF. Methods and ResultsIn the UK Biobank, we established a prospective cohort after excluding participants with prevalent HF or cancer at enrollment. A total of 99 368 White participants with ≥3 BMI measures during >2 years preceding enrollment were included, with a median follow‐up of 12.5 years. The within‐participant variability of BMI was evaluated using standardized SD and coefficient of variation. The association of BMI variability with incident HF was assessed using Fine and Gray's competing risk model, adjusting for confounding factors and participant‐specific rate of BMI change. Higher BMI variability measured in both SD and coefficient of variation was significantly associated with higher risk in HF incidence (SD: hazard ratio [HR], 1.05 [95% CI, 1.03–1.08],P<0.0001; coefficient of variation: HR, 1.07 [95% CI, 1.04–1.10],P<0.0001). ConclusionsLongitudinal health records capture BMI fluctuation, which independently predicts HF incidence.
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The relationship between altitude and BMI varies across low‐ and middle‐income countries
Abstract ObjectivesStudies suggest that living at high altitude decreases obesity risk, but this research is limited to single‐country analyses. We examine the relationship between altitude and body mass index (BMI) among women living in a diverse sample of low‐ and middle‐income countries. Materials and MethodsUsing Demographic and Health Survey data from 1 583 456 reproductive age women (20–49 years) in 54 countries, we fit regression models predicting BMI and obesity by altitude controlling for a range of demographic factors—age, parity, breastfeeding status, wealth, and education. ResultsA mixed‐effects model with country‐level random intercepts and slopes predicts an overall −0.162 kg/m2(95% CI −0.220, −0.104) reduction in BMI and lower odds of obesity (OR 0.90, 95% CI 0.87, 0.95) for every 200 m increase in altitude. However, countries vary dramatically in whether they exhibit a negative or positive association between altitude and BMI (34 countries negative, 20 positive). Mixed findings also arise when examining odds of obesity. DiscussionWe show that past findings of declining obesity risk with altitude are not universal. Increasing altitude predicts slightly lower BMIs at the global level, but the relationship within individual countries varies in both strength and direction.
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- Award ID(s):
- 2318505
- PAR ID:
- 10590885
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- American Journal of Human Biology
- Volume:
- 36
- Issue:
- 5
- ISSN:
- 1042-0533
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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