Evidence map›Paper›PMID 42873396›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Nonlinear age-related differences in clinical profiles of obstructive sleep apnea: a cross-sectional study of 1,508 Chinese patients.

Jieqiong Li, Rong Huang, Jinmei Luo, Yi Xiao

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Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Jieqiong LiDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Rong HuangDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Jinmei LuoDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Yi XiaoDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. xiaoyipumch@sina.com.ORCID http://orcid.org/0000-0001-5315-7771

Funding

National High Level Hospital Clinical Research Funding 2026-PUMCH-A-069National Natural Science Foundation of China 82370052Peking Union Medical College Hospital Research Funding for Postdoc kyfyjj202404
6 · The paper itself

Abstract

purposeTo characterize age-related clinical profiles and nonlinear age associations in treatment-naive Chinese patients with obstructive sleep apnea (OSA).

methodsThis retrospective cross-sectional study included 1,508 patients aged 18-88 years at Peking Union Medical College Hospital (2022-2025). Clinical and polysomnographic characteristics were compared across five age groups. Restricted cubic splines assessed continuous-age associations, with separate overall and nonlinearity tests and sex-adjusted sensitivity analyses. Sex-adjusted logistic models evaluated prevalent severity, sleepiness, and cardiometabolic comorbidities; age-quartile comparisons were supplementary.

resultsAmong 1,840 participants undergoing PSG, OSA detection differed across ages, with a greater increase among women (age-by-sex interaction P = 0.031). Respiratory severity was broadly comparable across age groups. In unadjusted analyses, body mass index and Epworth Sleepiness Scale scores showed nonlinear age associations (both P < 0.001), as did lowest oxygen saturation (P = 0.018) and selected Pittsburgh Sleep Quality Index (PSQI) components. Global PSQI was associated with age overall, without clear nonlinearity (P = 0.099). Sex adjustment attenuated nonlinearity for oxygen saturation and sleep latency. Older age was associated with higher prevalence odds of hypertension, cardiovascular disease, and diabetes. Excessive daytime sleepiness showed a midlife elevation.

conclusionOSA clinical profiles differ across ages, with nonlinearity in selected measures. Older patients have greater comorbidity burden and poorer reported sleep quality despite comparable respiratory severity.

Indexed as

Sleep Apnea, ObstructiveAdolescentAdultAgedAged, 80 and overAge FactorsChinaComorbidityCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPolysomnographyRetrospective StudiesAgeCardiometabolic comorbiditiesClinical phenotypesCross-sectional studyNonlinear associationsObstructive sleep apnea

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.