Evidence map›Paper›PMID 30919262›Full record

ArticleAging clinical and experimental research2020

Prevalence and associated factors of poor sleep quality among Chinese older adults living in a rural area: a population-based study.

Peng Wang, Lin Song, Kaili Wang, Xiaolei Han, Lin Cong, Yongxiang Wang, Lei Zhang, Zhongrui Yan, Shi Tang, Yifeng Du

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 6 pooled it
13.5field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 6 syntheses or guidelines pooled it, 145 citations in OpenAlex.

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  20. A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

15 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 1 country.

Peng WangDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China.
Lin SongDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China.
Kaili WangDepartment of Traditional Chinese Medicine, Jining No. 1 People's Hospital, Jining, Shandong, People's Republic of China.
Xiaolei HanDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China.
Lin CongDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China.
Yongxiang WangDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China.
Lei ZhangDepartment of Neurology, Jining No. 1 People's Hospital, Jining, Shandong, People's Republic of China.
Zhongrui YanDepartment of Neurology, Jining No. 1 People's Hospital, Jining, Shandong, People's Republic of China.
Shi TangDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China. Tangshi1989@163.com.
Yifeng DuDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, People's Republic of China. du-yifeng@hotmail.com.
Shandong Provincial Hospital · CNJining First People's Hospital · CNShandong University · CNJining Traditional Chinese Medicine Hospital · CN

Funding

the Key R&D Program of Shandong Province 2016ZDJS07A11the National Key R&D Program of China 2017YFC1310100the National Natural Science Foundation of China 81501099the National Natural Science Foundation of China 81772448the National Natural Science Foundation of China 81861138008
6 · The paper itself

Abstract

objectiveTo investigate the prevalence and associated factors of poor sleep quality among community-dwelling elderly population in a rural area of Northern China.

methodsWe conducted a cross-sectional survey in August-December 2014 and recruited 2195 participants who were aged 65 years or older and living in Yanlou Town of Yanggu County in western Shandong Province, China. Data on demographics, health-related behaviors, and clinical conditions were collected through structured interviews. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality and patterns. Poor sleep quality was defined as a PSQI score > 7. We employed multiple logistic models to relate poor sleep quality to various factors.

resultsThe overall prevalence rates of poor sleep quality were 33.8% in the total sample, 39.2% in women and 26.3% in men (P < 0.01). The most common abnormal sleep domains were prolonged sleep latency (39.7%), decreased sleep duration (31.0%), and reduced habitual sleep efficiency (28.8%). Multiple logistic regression analyses revealed that poor sleep quality was significantly associated with female sex (OR = 1.76, 95% CI 1.46-2.12) and clinical comorbidities such as hypertension (OR = 1.28, 95% CI 1.06-1.54), coronary heart disease (OR = 1.60, 95% CI 1.27-2.00), and chronic obstructive pulmonary disease (OR = 1.82, 95% CI 1.34-2.49).

conclusionsThe sleep disorders were highly prevalent among the elderly in rural China. Modifiable risk factors such as cardiometabolic risk factors and disorders were associated with poor sleep quality, which might be potential targets for interventions to improve sleep quality in elderly population.

Indexed as

AgedChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultiple Chronic ConditionsPrevalenceRisk FactorsRural PopulationSex FactorsSleep Initiation and Maintenance DisordersElderly populationPittsburgh Sleep Quality Index (PSQI)Poor sleep quality

Identifiers

PMID30919262
PMCPMC6974488
OpenAlexW2924578547

What OpenQuestion holds

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LicenceCC BY
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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.