Evidence map›Paper›PMID 29029627›Full record

ArticleBMC public health2017

Determinants of self-rated health among shanghai elders: a cross-sectional study.

Weizhen Dong, Jin Wan, Yanjun Xu, Chun Chen, Ge Bai, Lyuying Fang, Anjiang Sun, Yinghua Yang, Ying Wang

Abstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence of Disability among the Chinese Older Population: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
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  20. Comparing the Trail Users with Trail Non-Users on Physical Activity, Sleep, Mood and Well-Being Index.International journal of environmental research and public health · 2020
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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

9 authors.

Weizhen DongDepartment of Sociology and Legal Studies, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
Jin WanResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Yanjun XuResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Chun ChenSchool of Humanities and Management, Wenzhou Medical College, Wenzhou, Zhejiang, 325035, China.
Ge BaiResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Lyuying FangResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Anjiang SunResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Yinghua YangShanghai Municipal Center for Disease Control & Prevention, yangyinghua@scdc.sh.cn, No. 1380 Zhongshan West Road, Shanghai, 200336, China. 18616838682@163.com.
Ying WangResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China. wangying1013@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the most populous nation in the world, China has now becoming an emerging ageing society. Shanghai is the first city facing the challenge of ageing demographics. Against this background, a study that employs self-rated health (SRH) assessment system was designed to explore the health status of Shanghai elders, and learn their attitudes toward health issues; as well as to investigate the determinants of SRH among Shanghai elders. Understanding SRH is crucial for finding appropriate solutions that could effectively tackle the increasing eldercare demand.

methodsThis study adopted a quantitative research strategy. Using a multistage stratified cluster sampling method, we conducted a questionnaire survey in August 2011 in Shanghai, which collected 2001 valid survey responses. SRH assessments were categorized by five levels: very good, fairly good, average, fairly poor, or poor. The respondents' functional status was evaluated using the Barthel index of activities for daily living. In the data analysis, we used chi-squared test to determine differences in socio-demographic characteristics among various groups. Along with statistics, several logistic regression models were designed to determine the associations between internal influence factors and SRH.

resultsYounger age (χ

conclusionsThis is the first study that examines the determinants of SRH among Shanghai elders. Nearly 40% of our study's respondents reported their health status as "good". The main determinants of SRH among elders include living condition, health risk behaviour, social support, health status, and the economic status of the neighbourhood.

Indexed as

Diagnostic Self EvaluationHealth Risk BehaviorsHealth StatusSocial SupportAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedResidence CharacteristicsSocioeconomic FactorsEldersHealth StatusSelf-rated HealthShanghai

Identifiers

PMID29029627
PMCPMC5640913

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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.