Prevalence of prediabetes according to sleep apnea status

Yoo Jin Um; Ho Kim; Joohon Sung; Yoo Hyun Um; Sung-Il Cho

doi:10.1016/j.pcd.2024.12.004

Prevalence of prediabetes according to sleep apnea status

Prim Care Diabetes. 2024 Dec 21:S1751-9918(24)00239-0. doi: 10.1016/j.pcd.2024.12.004. Online ahead of print.

Authors

Yoo Jin Um¹, Ho Kim², Joohon Sung², Yoo Hyun Um³, Sung-Il Cho⁴

Affiliations

¹ Department of Family Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Gyeonggi-do, South Korea.
² Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea; Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
³ Department of Psychiatry, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
⁴ Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea; Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea. Electronic address: persontime@hotmail.com.

PMID: 39710550
DOI: 10.1016/j.pcd.2024.12.004

Abstract

Aim: The association between obstructive sleep apnea (OSA) and prediabetes using the STOP-Bang questionnaire remains unknown. We aimed to investigate the prevalence of prediabetes among people based on their sleep apnea status.

Methods: This cross-sectional study included 10131 Korean adults without diabetes with information of STOP-Bang scores, drawn from the dataset of the Korea National Health and Nutrition Examination Survey 2019-2021. Prediabetes was defined in three subsets: only by fasting blood glucose (FBG) (FBG 100-125 mg/dL, HbA1c <5.7 %), only by HbA1c (FBG <100 mg/dL, HbA1c 5.7-6.4 %) or by both. We used multivariable logistic regression to assess the odds ratio (OR) and 95 % confidence intervals (CIs) for prediabetes.

Results: A total of 3828 subjects reported a STOP-Bang score of ≥ 3, which shows increased risk of OSA. Multivariable-adjusted OR (95 % CI) showed that a STOP-Bang score ≥ 3 was associated with prediabetes meeting both FBG and HbA1c criteria (OR 1.06; 95 % CI 1.01-1.12). This association was statistically significant among women, particularly postmenopausal women (OR 1.20, 95 % CI 1.10-1.30; OR 1.21, 95 % CI 1.11-1.32, respectively).

Conclusion: In Korean general population, a significant correlation between higher OSA risk and prediabetes was observed, especially in postmenopausal women.

Keywords: Obstructive sleep apnea; Prediabetes; STOP-bang questionnaire; Sex-specific.