Evidence map›Paper›PMID 31856188›Full record

ArticlePloS one2019

Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population.

Ru-Qing Liu, Michael S Bloom, Qi-Zhen Wu, Zhi-Zhou He, Zhengmin Qian, Katherine A Stamatakis, Echu Liu, Michael Vaughn, Wayne R Lawrence, Mingan Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Ru-Qing LiuGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Michael S BloomGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-0028-5494
Qi-Zhen WuGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhi-Zhou HeGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhengmin QianDepartment of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, United States of America.
Katherine A StamatakisDepartment of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, United States of America.
Echu LiuDepartment of Health Management & Policy, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, United States of America.
Michael VaughnSchool of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, United States of America.
Wayne R LawrenceDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Rensselaer, New York, United States of America.ORCID 0000-0002-2992-5897
Mingan YangDepartment of Biostatistics and Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Tao LuDepartment of Mathematics and Statistics, University of Nevada, Reno, Nevada, United States of America.
Qian-Sheng HuGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Guang-Hui DongGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-2578-3369
Sun Yat-sen University · CNSaint Louis University · USSan Diego State University · USUniversity at Albany, State University of New York · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the relationship between sleep quality and depression, among Han and Manchu ethnicities, in a rural Chinese population.

methodsA sample of 8,888 adults was selected using a multistage cluster and random sampling method. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed via the Center for Epidemiological Survey, Depression Scale (CES-D). Logistic regression was conducted to assess associations between sleep quality and depression.

resultsThe prevalence of poor sleep quality and depression in the Manchus (20.74% and 22.65%) was significantly lower than that in the Hans (29.57% and 26.25%), respectively. Depressive participants had higher odds ratios of global and all sub PSQI elements than non-depressive participants, both among the Hans and the Manchus. Additive interactions were identified between depressive symptoms and ethnicity with global and four sub-PSQI elements, including subjective sleep quality, sleep disturbance, use of sleep medication and daytime dysfunction.

conclusionsThe findings revealed that the prevalence of poor sleep quality and depression among the Hans was greater than among the Manchus. Depression was associated with higher odds of poor sleep quality.

Indexed as

SleepAdultAgedAged, 80 and overChinaDepressionEthnicityFemaleHumansMaleMiddle AgedRural PopulationYoung Adult

Identifiers

PMID31856188
PMCPMC6922383
OpenAlexW2995808687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.