Environmental adaptation and sleep disturbance: a cross-sectional study reveals distinct metabolic risk profiles in long-term high-altitude residents versus the general population - Report - MDSpire

Environmental adaptation and sleep disturbance: a cross-sectional study reveals distinct metabolic risk profiles in long-term high-altitude residents versus the general population

  • By

  • Yi-Xiu Lin

  • Xiao-Yang Dong

  • Shu-Ming Ji

  • Cheng Huang

  • Lei Chen

  • July 3, 2026

  • 0 min

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Clinical Report: Metabolic Risk Profiles and Sleep Disorders at High Altitude

Overview

This study investigates the association between metabolic markers and sleep disorders among high-altitude inhabitants compared to lowland residents. Findings indicate significant differences in sleep disturbance prevalence and metabolic risk profiles across these populations.

Background

Sleep disorders are a global health concern, affecting a substantial portion of the population and linked to various adverse health outcomes. Understanding how environmental factors, such as high-altitude hypoxia, influence sleep disturbances is crucial for developing targeted interventions. This study addresses the gap in knowledge regarding the interaction of metabolic indices and sleep disorders in different populations.

Data Highlights

PopulationSleep Disturbance Prevalence
Lowlanders14.9%
Plateau Population30.6%
Migrants35.0%
Tibetans27.1%

Key Findings

  • Sleep disturbance prevalence: Lowlanders 14.9%, Plateau population 30.6% (migrants 35.0%, Tibetans 27.1%).
  • Plain-dwelling populations showed significant positive associations with all metabolic indices assessed.
  • The Plateau population exhibited significant positive associations with TyG and TyG-WHtR, and negative correlations with potassium.
  • Tibetan highlanders showed associations only with TyG-related metabolic indicators.
  • Among high-altitude migrants, depressive symptoms correlated with a stronger association between TyG-WHtR and sleep disorders.
  • Serum potassium was associated with a weaker association between anxiety and sleep disorders among Tibetans.

Clinical Implications

The findings suggest that metabolic risk profiles and sleep disorders vary significantly between populations living at high altitudes and those in lowland areas. Clinicians should consider these differences when assessing sleep disturbances and metabolic health in diverse populations.

Conclusion

This study highlights the complex interplay between environmental factors and metabolic health in relation to sleep disorders, emphasizing the need for tailored approaches in different populations.

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  3. Frontiers in Cardiovascular Medicine, 2026 -- Effects of altitude and sociodemographic factors on cardiometabolic disorders in the southwestern plateau areas of China
  4. The Journal of Clinical Endocrinology & Metabolism — Exploring the Links Between Comprehensive Sleep Health, Glycemic Management, and Patient-Reported Outcomes in Type 1 Diabetes: A Cross-Sectional Analysis
  5. AASM Central Sleep Apnea Guideline 2025
  6. VA/DoD Clinical Practice Guideline for Chronic Insomnia Disorder and OSA 2025
  7. Frontiers | Association between obstructive sleep apnea syndrome and metabolic syndrome: a severity-stratified meta-analysis
  8. Evaluating the endothelial and metabolic effects of CPAP therapy in obstructive sleep apnea patients: Insights from a comprehensive meta-analysis - ScienceDirect
  9. Effect of CPAP therapy on blood pressure in patients with obstructive sleep apnoea: a worldwide individual patient data meta-analysis - PubMed
  10. Impact of obstructive sleep apnea on metabolic markers in non-obese children living at high altitudes: A cross-sectional study - PubMed
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