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Association Between Sleep Apnea Risk and Obesity Phenotypes in Korean Adults: A Nationwide Population-Based Study
Young Sang Lyu1, Jun Hyung Lee2, Youngmin Yoon3
1Department of Endocrinology and Metabolism, Chosun University Hospital, Chosun University School of Medicine, Gwangju 61453, Republic of Korea.
Metabolic dysfunction, not just obesity, increases sleep apnea risk in Korean adults. Metabolically abnormal individuals, even those with normal weight, face higher risks, emphasizing metabolic health in sleep apnea assessment.
Area of Science:
- Obesity research
- Sleep medicine
- Public health epidemiology
Background:
- Obesity phenotypes and their association with sleep apnea risk require further investigation.
- Understanding these relationships is crucial for targeted public health interventions in the Korean population.
Purpose of the Study:
- To analyze the relationship between distinct obesity phenotypes and the risk of sleep apnea.
- To evaluate the impact of metabolic health status, independent of body mass index (BMI), on sleep apnea risk.
Main Methods:
- Utilized data from 10,970 Korean adults (age ≥ 40 years) from the 2019-2021 KNHANES.
- Classified participants into four obesity phenotypes: metabolically healthy normal weight (MHNW), metabolically abnormal normal weight (MANW), metabolically healthy obese (MHO), and metabolically abnormal obese (MAO).
- Assessed sleep apnea risk using the STOP-Bang questionnaire and employed multivariate logistic regression.
Main Results:
- The metabolically abnormal obese (MAO) phenotype exhibited the highest sleep apnea risk (aOR 10.27), followed by MHO (aOR 6.17) and MANW (aOR 1.91), compared to MHNW.
- Metabolically abnormal groups (MANW and MAO) were older and had more cardiometabolic risk factors.
- Mean STOP-Bang scores increased significantly from MHNW to MAO, indicating a dose-response relationship.
Conclusions:
- Obesity phenotypes significantly influence sleep apnea risk in Korean adults.
- Metabolic dysfunction contributes to sleep apnea risk independently of BMI, suggesting its importance in risk stratification.
- Targeting metabolic health may be a key strategy for managing sleep apnea risk.
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