Evidence map›Paper›PMID 36266610›Full record

ArticleBMC medicine2022

Maintaining healthy sleep patterns and frailty transitions: a prospective Chinese study.

Yunqing Zhu, Junning Fan, Jun Lv, Yu Guo, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du, Feifei Li, Xiaoming Yang and 6 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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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

16 authors.

Yunqing ZhuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
Junning FanDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
Yu GuoFuwai Hospital, Chinese Academy of Medical Sciences, Beijing, 100037, China.
Pei PeiChinese Academy of Medical Sciences, Beijing, 100730, China.
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, UK.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, UK.
Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, UK.
Feifei LiNCDs Prevention and Control Department, Qingdao CDC, Qingdao, 266033, Shandong, China.
Xiaoming YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Daniel AveryClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, 100022, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, 100191, Beijing, China. yucanqing@pku.edu.cn.ORCID 0000-0002-0019-0014
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
China Kadoorie Biobank Collaborative Group

Funding

Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundLittle is known about the effects of maintaining healthy sleep patterns on frailty transitions.

methodsBased on 23,847 Chinese adults aged 30-79 in a prospective cohort study, we examined the associations between sleep patterns and frailty transitions. Healthy sleep patterns included sleep duration at 7 or 8 h/d, without insomnia disorder, and no snoring. Participants who persisted with a healthy sleep pattern in both surveys were defined as maintaining a healthy sleep pattern and scored one point. We used 27 phenotypes to construct a frailty index and defined three statuses: robust, prefrail, and frail. Frailty transitions were defined as the change of frailty status between the 2 surveys: improved, worsened, and remained. Log-binomial regression was used to calculate the prevalence ratio (PR) to assess the effect of sleep patterns on frailty transitions.

resultsDuring a median follow-up of 8.0 years among 23,847 adults, 45.5% of robust participants, and 10.8% of prefrail participants worsened their frailty status, while 18.6% of prefrail participants improved. Among robust participants at baseline, individuals who maintained sleep duration of 7 or 8 h/ds, without insomnia disorder, and no-snoring were less likely to worsen their frailty status; the corresponding PRs (95% CIs) were 0.92 (0.89-0.96), 0.76 (0.74-0.77), and 0.85 (0.82-0.88), respectively. Similar results were observed among prefrail participants maintaining healthy sleep patterns. Maintaining healthy sleep duration and without snoring, also raised the probability of improving the frailty status; the corresponding PRs were 1.09 (1.00-1.18) and 1.42 (1.31-1.54), respectively. Besides, a dose-response relationship was observed between constantly healthy sleep scores and the risk of frailty transitions (P for trend < 0.001).

conclusionsMaintaining a comprehensive healthy sleep pattern was positively associated with a lower risk of worsening frailty status and a higher probability of improving frailty status among Chinese adults.

Indexed as

FrailtySleep Initiation and Maintenance DisordersAgedChinaFrail ElderlyHumansProspective StudiesSleepFrailtyProspective cohort studySleep patterns

Identifiers

PMID36266610
PMCPMC9585775

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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.