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The Association between Altitude and Waist-Height Ratio in Peruvian Adults: A Cross-Sectional Data Analysis of a Population-Based Survey.

Akram Hernández-VásquezDiego Azañedo
Published in: International journal of environmental research and public health (2022)
To evaluate the association between altitude and cardiometabolic risk calculated with the weight-height ratio (WHtR) in the Peruvian adult population via the cross-sectional data analysis of the Peruvian Demographic and Health Survey 2021. A total of 26,117 adults from 18 to 64 years of age were included in the analysis. The dependent variable was cardiometabolic risk, defined as "Yes" if the WHtR was ≥0.5 and "No" if the WHtR was <0.5. Exposure was altitude of residence categorized as: <1500 meters above sea level (masl); 1500 to 2499 masl; 2500 to 3499 masl; and ≥3500 masl. Crude and adjusted Poisson regression models were used to calculate prevalence ratios (PR) with 95% confidence intervals (CI). The mean WHtR in the population was 0.59 (standard deviation: 0.08), and 87.6% (95% CI: 86.9-88.2) were classified as at risk. After adjusting for sex, age, education level, well-being index, and area of residence, living at altitudes between 2500 and 3499 masl (aPR: 0.98; 95% CI: 0.96-1.00) and ≥3500 masl (aPR: 0.95; 95% CI: 0.93-0.97) were associated with lower cardiometabolic risk in comparison with living at <1500 masl. An inverse association was identified between living at a higher altitude and the proportion of cardiometabolic risk in the Peruvian adult population. However, at least 8 out of 10 people were identified as at risk in all categories of altitude.
Keyphrases
  • body mass index
  • cross sectional
  • healthcare
  • physical activity
  • machine learning
  • deep learning
  • data analysis