Evidence map›Paper›PMID 31106067›Full record

ArticlePeerJ2019

Quality of life of older Chinese adults receiving primary care in Wuhan, China: a multi-center study.

Bao-Liang Zhong, Yan-Min Xu, Wu-Xiang Xie, Xiu-Jun Liu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 15 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

4 authors at 2 institutions in 1 country.

Bao-Liang ZhongResearch Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei Province, China.
Yan-Min XuAffiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei Province, China.
Wu-Xiang XiePeking University Clinical Research Institute, Peking University Health Science Center, Beijing, China.
Xiu-Jun LiuAffiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei Province, China.
Huazhong University of Science and Technology · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality of life (QOL) is an important primary care outcome, but the QOL of older adults treated in primary care is understudied in China. This study examined QOL and its associated factors in older adults treated in Chinese primary care.

methodsA total of 752 older patients (65+ years) were consecutively recruited from 13 primary care centers in Wuhan, China, and interviewed with a standardized questionnaire, concerning socio-demographics, major medical conditions, loneliness, and depression. QOL and depression were measured with the Chinese six-item QOL questionnaire and the shortened Geriatric Depression Scale, respectively. Multiple linear regression was used to identify factors associated with poor QOL.

resultsThe average QOL score of primary care older adults was (20.7 ± 2.5), significantly lower than that of the Chinese general population. Factors significantly associated with poor QOL of Chinese primary care older adults included engaging in manual labor before older adulthood (unstandardized coefficient [β]: -0.702,

conclusionsOlder adults treated in Chinese primary care have poorer QOL than the general population. Addressing psychosocial problems at Chinese primary care settings could be helpful in improving QOL in Chinese older adults.

Indexed as

ChinaOlder adultsPrimary careQuality of life

Identifiers

PMID31106067
PMCPMC6499053
OpenAlexW2942908093

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.