ArticleFrontiers in endocrinology2024
Association between obstructive sleep apnea risk and type 2 diabetes among Emirati adults: results from the UAE healthy future study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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5 citing papers in PubMed.
- Obstructive sleep apnea a synergistic health risk in type 2 diabetes mellitus: a cross-sectional analytical study using STOP-BANG questionnaire in a tertiary care teaching hospital of Eastern Odisha.Diabetology & metabolic syndrome · 2026Article
- Exploring the cardiometabolic profile of Emirati adults at risk for obstructive sleep apnea: findings from the UAE healthy future study.Frontiers in sleep · 2026Article
- Article
- Assessment of obstructive sleep apnea rate and associated factors among Lebanese adults: a cross-sectional study.Frontiers in public health · 2025Article
- Construction of an index system of core competence assessment for sleep medicine nurse specialists in China: a Delphi study.BMC nursing · 2024Article
Corrections and comments
- Erratum issued
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Obstructive sleep apnea (OSA) can have negative impacts on the health outcomes of individuals with type 2 diabetes. However, in the United Arab Emirates (UAE), there is a lack of understanding regarding the relationship between OSA and type 2 diabetes despite the significant implications it has on health. The primary objective of this study is to investigate the association between OSA risk and type 2 diabetes, associated risk factors, and gender differences in OSA symptoms among Emirati adults. Methods: We conducted a cross-sectional analysis of the baseline data from the UAE Healthy Future Study (UAEHFS) collected between February 2016 and March 2023. Our sample consisted of 4578 participants aged 18-71 who completed the STOP-BANG survey, provided body measurements and blood samples. We stratified the patients according to their OSA risk and diabetes. We used univariate and multivariate logistic regression models to analyze the relationship between OSA risk and type 2 diabetes and to identify factors associated with risk for OSA and type 2 diabetes. We estimated odds ratios (ORs) with corresponding 95% confidence intervals (95% CI). Results: The mean age was 27.5 years (± 8.35), and 55.81% (n=2555) were men. The overall prevalence of high risk for OSA was 16.58% and was higher in men compared to women (26.46% vs 4.10%). Women reported feeling tired more often than men (68.02% vs 48.96%). Both genders have similar rates of stop breathing and BMI ≥ 35. There was a significant association between the OSA risk and type 2 diabetes in the unadjusted model (OR=2.44; 95% CI: 1.78-3.35; p-value <0.0001) and (OR=6.44; 95% CI: 4.32-9.59; p-value < 0.0001) among those who reported intermediate and high OSA risk, respectively. After adjusting the model for education attainment, marital status, waist circumference, and smoking, the association remained significant between diabetes and OSA risk, with an OR of 1.65 (95%CI: 1.18-2.32; p-value =0.004) for intermediate OSA risk and 3.44 (95%CI: 2.23-5.33; p-value <0.0001) for high OSA risk. Conclusions: This study conducted in the UAE found a significant correlation between OSA risk and type 2 diabetes. We suggest introducing routine screening of OSA for individuals with diabetes.
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