Evidence map›Paper›PMID 30235282›Full record

ArticlePloS one2018

Association of socioeconomic status and health-related behavior with elderly health in China.

Fubaihui Wang, Qingkai Zhen, Kaigang Li, Xu Wen

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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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.

Fubaihui WangChina Institute of Sport Science, Beijing, China.
Qingkai ZhenChina Institute of Sport Science, Beijing, China.
Kaigang LiDepartment of Exercise Science, College of Health and Human Science, Colorado State University, Fort Collins, Colorado, United States of America.
Xu WenDepartment of Sport Science, College of Education, Zhejiang University, Hangzhou, China.ORCID 0000-0003-3658-6368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous health studies have focused on the correlation between socioeconomic status (SES) and health. We pooled data from the Chinese Longitudinal Healthy Longevity Survey (N = 9765) conducted in 2011, and examined the association of SES and health-related behavior with elderly health in China. The cumulative health disadvantage of the elderly caused by SES can be relieved by lifelong health-related behavior. In the same SES, the odds of self-rated health (SRH) as "good," mini-mental state examination (MMSE) as "not impaired," and activities of daily living (ADLs) as "not impaired" among the elderly who exercised regularly, were 46.9%, 28.6%, and 62.3% lower for the elderly who rarely exercised. The elderly who started doing regular exercise from 30 years old, achieved higher SRH, ADL, and MMSE scores to some extent. The health improvement advantage for the elderly who started doing regular exercises after 60 years old, was reduced. However, the odds of SRH as "good," MMSE as "not impaired," and ADLs as "not impaired" were still 3.4%, 12.5%, and 17.8%, respectively, higher than the respondents who never exercised. The health-related behaviors not only promote elderly health improvement, but its duration has also been found to be associated with the extent of health improvement.

Indexed as

Activities of Daily LivingAged, 80 and overChinaDiagnostic Self EvaluationExerciseFemaleGeriatric AssessmentHealth StatusHumansLongitudinal StudiesMaleMiddle AgedSelf ConceptSocial Class

Identifiers

PMID30235282
PMCPMC6147496

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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.