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June 3, 2026Journal of Hypertension0 citations

Residential Altitude and Incident Diabetes Risk: A Study of 5.65 Million Adults

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BNBahejiamali NuerbolatiMHMulalibieke HeizhatiLYLin Yao

Key Points

  • This research aims to determine the association between residential altitude and the risk of developing diabetes.
  • Population-based study utilizing health examination records from 2017 to 2024 with 5,649,250 adults.
  • Elevation categorized into four groups based on data from the Space Shuttle Radar Topography Mission.
  • Cox proportional hazards regression models adjusted for various demographic and health factors.
  • 889,830 participants developed diabetes over a median follow-up of 6.62 years (incidence rate: 27.77 per 1,000 person-years).
  • Compared with the reference group, hazard ratios were 0.973 below 500 meters, 0.797 at 1500-2499 meters, and 0.834 at 2500 meters and above.
  • A nonlinear relationship was observed, where diabetes risk decreased significantly up to 1500 meters before flattening.

Abstract

Objective: The relationship between residential altitude and diabetes risk remains unclear, with limited prospective data currently available. This study aims to investigate whether residential altitude is associated with diabetes incidence risk across the full altitude gradient. Design and method: We conducted a population-based study using annual community health examination records (baseline 2017; follow-up through 2024). Participants were adults aged 18 years and older with no prior diagnosis of diabetes and a valid residential address. Elevation was determined using Space Shuttle Radar Topography Mission data (90-meter resolution) and categorized into four groups: below 500 meters, 500–1499 meters (reference), 1500–2499 meters, and 2500 meters and above. Diabetes onset was identified by fasting blood glucose >=7.0 mmol/L, physician diagnosis, or use of antidiabetic medications. We employed Cox proportional hazards regression models, sequentially adjusting for demographic characteristics, lifestyle factors, anthropometric measures, comorbidities, laboratory values, and baseline blood glucose. Overlap weights balanced baseline covariates. Restricted cubic splines explored nonlinear relationships. Results: Among 5,649,250 participants with a median follow-up of 6.62 years (32 million patient-years), 889,830 developed diabetes (incidence rate: 27.77 per 1,000 person-years). After full adjustment, compared with the reference group (500-1499), the hazard ratio was 0.973 (95% CI 0.967–0.979) at altitudes below 500 meters, 0.797 (0.791–0.803) at 1500–2499 meters, and 0.834 (0.810–0.858) at 2500 meters and above. These estimates remained stable after overlapping weighting. The spline model revealed a nonlinear pattern: diabetes risk declined sharply with increasing altitude up to approximately 1500 meters, after which the curve flattened. This negative correlation persisted consistently across subgroups defined by sex, age, body mass index, and abdominal obesity. Conclusions: Among adult residents at elevations ranging from 86 to 3,647 meters, higher altitude was independently associated with a reduced incidence of diabetes. The protective gradient was steepest below 1,500 meters, suggesting a threshold effect requiring further mechanistic investigation.

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Cite This Study

Nuerbolati et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc5d7dee9eb8c0dce73f6https://doi.org/10.1097/01.hjh.0001195664.40282.09
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