Diabetes research and clinical practice · 2026
An observational study on glycemic trajectories during ascent, stay, and descent in a 45-day high-altitude exposure.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Zhang Bin, Sun Mengzi, Yang Zijing, Wang Tingting, Xu Ruihua, Shi Lin, Wang Youfa, Peng Wen
Аннотация
AIMS: To characterize glycemic dynamics and heterogeneity in response patterns during a 45-day high-altitude expedition among healthy adults.
METHODS: In this longitudinal observational study, eight healthy adults underwent continuous glucose monitoring (CGM) during ascent (2,800 to 4,531 m), stay, and descent. Glycemic metrics (mean glucose, variability indices, time-in-range) were analyzed across altitude-defined phases. Unsupervised clustering was employed to identify glycemic response patterns.
RESULTS: Mean glucose exhibited a mild U-shaped trend, with transient elevation and peak glycemic variability (CV = 17.3%) at extreme altitude. Time-in-range remained >97%. Cluster analysis revealed two distinct patterns: a stable, low-variability group (Cluster 1) and a high-variability group (Cluster 2) with amplified excursions and delayed recovery.
CONCLUSIONS: Short-term high-altitude exposure induces mild, reversible disturbances in glucose regulation, with significant inter-individual heterogeneity. CGM effectively captures these dynamic changes and identifies distinct adaptive patterns, highlighting its utility for monitoring metabolic stress and population-specific responses in extreme environments.
METHODS: In this longitudinal observational study, eight healthy adults underwent continuous glucose monitoring (CGM) during ascent (2,800 to 4,531 m), stay, and descent. Glycemic metrics (mean glucose, variability indices, time-in-range) were analyzed across altitude-defined phases. Unsupervised clustering was employed to identify glycemic response patterns.
RESULTS: Mean glucose exhibited a mild U-shaped trend, with transient elevation and peak glycemic variability (CV = 17.3%) at extreme altitude. Time-in-range remained >97%. Cluster analysis revealed two distinct patterns: a stable, low-variability group (Cluster 1) and a high-variability group (Cluster 2) with amplified excursions and delayed recovery.
CONCLUSIONS: Short-term high-altitude exposure induces mild, reversible disturbances in glucose regulation, with significant inter-individual heterogeneity. CGM effectively captures these dynamic changes and identifies distinct adaptive patterns, highlighting its utility for monitoring metabolic stress and population-specific responses in extreme environments.