Physiological phenotypes of obstructive sleep apnea identified by cluster analysis: Association with type 2 diabetes.

doi:10.1111/jdi.70305

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Article

Physiological phenotypes of obstructive sleep apnea identified by cluster analysis: Association with type 2 diabetes.

Journal of diabetes investigation - 1 Jun 2026

Osawa Saeko, Taniguchi Mitsutaka, Ito Naohiko, Tabata Hiromitsu, Ohi Motoharu

Abstract excerpt

AIMS/INTRODUCTION: Obstructive sleep apnea (OSA) is a multifaceted condition that may variably influence metabolic risk. This study aimed to identify physiological phenotypes of OSA using polysomnographic (PSG) data and examine their association with type 2 diabetes (T2DM) in a Japanese cohort. M...

Topics

Humans
Sleep Apnea, Obstructive
Diabetes Mellitus, Type 2
Phenotype
Female
Cluster Analysis
Polysomnography
Male
Middle Aged
Japan
Aged
Clustering Algorithms
Prevalence

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