Evidence map›Paper›PMID 31782018›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Sleep quality of Shanghai residents: population-based cross-sectional study.

Wenjun Wu, Yonggen Jiang, Na Wang, Meiying Zhu, Xing Liu, Feng Jiang, Genming Zhao, Qi Zhao

Abstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  17. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Review
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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

8 authors at 2 institutions in 1 country.

Wenjun WuDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China.
Yonggen JiangSongjiang District Center for Disease Control and Prevention, Shanghai, China.
Na WangDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China.
Meiying ZhuSongjiang District Center for Disease Control and Prevention, Shanghai, China.
Xing LiuDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China.
Feng JiangDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China.
Genming ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China.
Qi ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, 130 DongAn Road, Shanghai, China. zhaoqi@shmu.edu.cn.ORCID http://orcid.org/0000-0003-0140-3920
Fudan University · CNSongjiang District Central Hospital · CN

Funding

the National Key Research and Development Program of China 2017YFC0907000the Shanghai Municipal Education Commission-Gaofeng Discipline Development Project for Public Health and Preventive Medicine No. 17
6 · The paper itself

Abstract

objectiveTo estimate the prevalence of poor sleep and its risk factors for adults living in a suburban area of Shanghai with rapid urbanization.

methodsA total of 37,545 residents who were aged 20 to 74 years and from the "Peak Program," a community-based natural population cohort study, were included. Data on demographics, lifestyle, and physical health-related factors were collected using a face-to-face questionnaire interview. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep was defined as a PSQI score above 7.

resultsThe overall mean of PSQI score was 3.69 ± 2.57 while the prevalence of poor sleep was 8.3%. The prevalence of poor sleep quality was higher in participants who were older than 40 years, had less education, smoked tobacco, had anxiety, and had a chronic disease (p < 0.05 for all comparisons). After adjustment for confounding, a logistic regression model indicated that poor sleep was associated with advanced age, smoking, anxiety, cardiovascular and cerebrovascular diseases, respiratory diseases, and other chronic diseases (p < 0.05 for all comparisons). In addition, compared to women who were premenopausal, the naturally postmenopausal women (OR 1.675, 95% CI 1.44-1.94) and induced menopausal women (OR 2.26, 95% CI 1.81-2.82) were more likely to report poor sleep.

conclusionThe prevalence of poor sleep among individuals who lived in the Songjiang District of Shanghai and were aged 20 to 74 years was remarkably lower than in the general population of China. Poor sleep was generally more common in middle-aged and elderly residents and in those suffering from anxiety and chronic diseases. Regular exercise, anxiety relieving, and treatment improvement of different chronic diseases may help sleep better.

Indexed as

AdultAgedAnxietyAnxiety DisordersCardiovascular DiseasesCerebrovascular DisordersChinaChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMenopauseMiddle AgedCross-sectional studySleep qualityThe Pittsburgh sleep quality index

Identifiers

PMID31782018
OpenAlexW2991031687

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.