Evidence map›Paper›PMID 41854932›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Association of bedtime with co-morbid hypertension in OSA: a community-based study.

Ruohan Zhou, Guangliang Shan, Yaoda Hu, Tong Feng, Miaochan Lao, Ranxu Zhang, Shuhe Wu, Junzhi Chen, Qiong Ou

Abstract read
In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ruohan ZhouInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Guangliang ShanDepartment of Epidemiology & Biostatistics, Institute of Basic Medical Sciences, School of BasicMedicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yaoda HuDepartment of Epidemiology & Biostatistics, Institute of Basic Medical Sciences, School of BasicMedicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Tong FengInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Miaochan LaoInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Ranxu ZhangInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Shuhe WuInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Junzhi ChenInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Qiong OuInstitute of Guangdong Provincial Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Road, Yuexiu District, Guangzhou, 510080, Guangdong, China. ouqiong2776@hotmail.com.ORCID http://orcid.org/0000-0002-8076-0338

Funding

Guangdong Provincial Department of Science and Technology Grant No. 2023B110009Ministry of Science and Technology of the People's Republic of China Grant No. 2022FY100803National Natural Science Foundation of China Grant No. 82470083
6 · The paper itself

Abstract

objectiveObstructive sleep apnea (OSA) is a recognized risk factor for hypertension, contributing to cardiovascular disease through mechanisms like nocturnal hypoxia and sympathetic dysfunction. The role of bedtime habits in OSA-associated hypertension remains underexplored. This study investigates the association between bedtime habits and hypertension in OSA patients.

methodsA cross-sectional study analyzed baseline data from 6,193 community-dwelling adults in Guangdong Province, China, were analyzed. Sleep behavior habits and quality were assessed using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Self-reported bedtime was categorized as early (≤ 21:59), moderate (22:00–23:59), or late (≥ 00:00). OSA was diagnosed using a Type IV wearable intelligent sleep monitor. Hypertension was defined as systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or self-reported hypertension history.

resultOSA was present in 2,660 participants (42.9%). Among individuals with OSA, hypertension prevalence was 56.6% in early bedtimes, 36.9% in moderate bedtimes, and 30.7% in late bedtimes (P < 0.001). In the fully adjusted model, moderate bedtime (OR 0.64, 95% CI 0.48–0.86) and late bedtime (OR 0.67, 95% CI 0.47–0.95) were associated with lower odds of prevalent hypertension compared with early bedtime (reference). Early bedtime remained associated with longer sleep latency, lower sleep efficiency, and higher Pittsburgh Sleep Quality Index and Insomnia Severity Index scores (all P < 0.05).

conclusionEarly bedtime (≤ 21:59) was independently associated with higher odds of comorbid hypertension in adults with OSA, while moderate and late bedtimes were associated with lower odds after comprehensive adjustment. Bedtime represents a volitional lifestyle behavior that may be targeted for cardiovascular risk reduction in OSA.

Indexed as

HypertensionSleep Apnea, ObstructiveAdultAgedChinaChronotypeComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolysomnographyRisk FactorsBedtimeCommunity-based populationHypertensionObstructive sleep apneaSleep quality

Identifiers

PMID41854932
PMCPMC13002713

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.