SEARCHCROSS-SECTIONALepidemiology, public health

cross-sectional·epidemiology, public health, cardiology, endocrinology, pulmonology·PMC10060897

Association between glycolipids and risk of obstructive sleep apnea: A population-based study

Frontiers in Nutrition · 12 authors, 11 centres

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TL;DR

This cross-sectional study of 10,286 adults found that higher serum HDL cholesterol was associated with a lower risk of obstructive sleep apnea (OSA), while higher triglycerides and fasting blood glucose were associated with an increased risk.

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OSA was identified using the Berlin and STOP-BANG questionnaires. After adjusting for covariates like age, BMI, and smoking, the study found that higher HDL-CH was inversely associated with pre-OSA and OSA risk, with a 41% reduced OSA risk for the highest vs. lowest quartile. Conversely, higher triglycerides and fasting blood glucose were positively associated with risk, with the highest TG quartile showing a 56% increased OSA risk and the highest FBG quartile showing a 38% increased OSA risk.

STUDY TYPE

cross-sectional

SPECIALTY

epidemiology

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ORIGINAL PAPER

PMC10060897

Association between glycolipids and risk of obstructive sleep apnea: A population-based study

Frontiers in Nutrition

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ABSTRACT

Background This study aimed to investigate the associations between multiple glycolipid biomarkers and the risk of obstructive sleep apnea (OSA). Methods Participants (10,286) aged from 35 to 74 years old were included in this cross-sectional study from the baseline survey of the Guangzhou Heart Study. OSA was ascertained using both Berlin Questionnaire and STOP-BANG Questionnaire. Fasting blood samples were collected from each participant; fasting blood glucose (FBG) and serum concentrations of high-density lipoprotein cholesterol (HDL-CH), low-density lipoprotein cholesterol (LDL-CH), total cholesterol (TC), and triglyceride (TG) were determined. Odds ratio (OR) with 95% confidence interval (CI) was calculated using the multivariate logistic regression model after adjustment for covariates. Results Of the participants included, 15.56% were categorized into the pre-OSA group, and 8.22% into the OSA group. When comparing the highest with the lowest quartiles, HDL-HC was associated with a 22% (OR: 0.78, 95% CI: 0.65–0.94) and 41% (OR: 0.59, 95% CI: 0.45–0.78) reduced risk of pre-OSA and OSA, triglyceride was associated with a 32% (OR 1.32, 95% CI 1.08–1.60) and a 56% (OR 1.56, 95% CI 1.18–2.07) increased risk of pre-OSA and OSA, and FBG was associated with a 1.37-fold (95% CI 1.13–1.67) risk of pre-OSA and 1.38-fold (95% CI 1.03–1.85) risk of OSA. A significant exposure-response trend was observed for HDL-HC, TG, and FBG with both OSA and Pre-OSA (all p < 0.05). No significant association of LDL-CH and TC with the risk of both pre-OSA and OSA was observed. Conclusion The findings suggest that serum HDL-CH was inversely associated with OSA risk, while elevated serum TG and FBG could increase the risk of OSA. Healthy glycolipid metabolism warrants more attention in the field of OSA prevention.

CITATION EXPORT

Murui Zheng, Xueru Duan, Huanning Zhou et al.. Association between glycolipids and risk of obstructive sleep apnea: A population-based study. Frontiers in Nutrition. (2023). https://doi.org/10.3389/fnut.2023.974801

AUTHORS

12 · 11 CENTRES

Murui Zheng, Xueru Duan, Huanning Zhou, Weidi Sun, Guoqiang Sun, Jianying Chen, Xiuyi Wu, Sijing Rong, Jun Huang, Wengjing Zhao, Hai Deng, Xudong Liu

1Department of Community Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
2Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
3School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
4Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
5School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
6Baiyun Street Community Health Service Center, Guangzhou, China
7Nancun Town Community Health Service Center, Guangzhou, China
8Guangzhou Haizhu District Center for Disease Control and Prevention, Guangzhou, China
9Department of Geriatrics, Guangdong Provincial People’s Hospital, Institute of Geriatrics, Guangdong Academy of Medical Science, Guangzhou, China
10School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
11Department of Cardiology, Guangdong Provincial People’s Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Science, Guangzhou, China