Evidence map›Paper›PMID 26107636›Full record

ArticlePloS one2015

Joint effect of education and main lifetime occupation on late life health: a cross-sectional study of older adults in Xiamen, China.

Manqiong Yuan, Wei Chen, Cheng-I Chu, Ya Fang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

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4 · The record

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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.

Manqiong YuanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Wei ChenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Cheng-I ChuDepartment of Public Health, Tzu Chi University, 701, Sec. 3, Zhongyang Rd, Hualien City, Hualien County, Taiwan.
Ya FangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effects of education and occupation on health have been well documented individually, but little is known about their joint effect, especially their cumulative joint effect on late life health.

methodsWe enrolled 14,292 participants aged 60+ years by multistage sampling across 173 communities in Xiamen, China, in 2013. Heath status was assessed by the ability to perform six basic activities of daily life. Education was classified in four categories: 'Illiterate', 'Primary', 'Junior high school' and 'Senior high school and beyond'. Main lifetime occupation was also four categorized: 'Employed', 'Farmer', 'Jobless' and 'Others'. Odds ratios (ORs) were estimated by random-intercept multilevel models regressing health status on education and main lifetime occupation with or without their interactions, adjusting by some covariates.

resultsTotally, 13,880 participants had complete data, of whom 12.5% suffered from disability, and 'Illiterate' and 'Farmer' took up the greatest proportion (33.01% and 42.72%, respectively). Participants who were higher educated had better health status (ORs = 0.62, 0.46, and 0.44 for the 'Primary', 'Junior high school', and 'Senior high school and beyond', respectively, in comparison with 'Illiterate'). Those who were long term jobless in early life had poorest heath (ORs = 1.88, 95% CI 1.47 to 2.40). Unexpectedly, for the farmers, the risk of poor health gradually increased in relation to higher education level (ORs = 1.26, 1.28, 1.40 and 2.24, respectively). For the 'Employed', similar ORs were obtained for the 'Junior high school' and 'Senior high school and beyond' educated (both ORs = 1.01). For the 'Farmer' and 'Jobless', participants who were 'Illiterate' and 'Primary' educated also showed similar ORs.

conclusionsBoth education and main lifetime occupation were associated with late life health. Higher education was observed to be associated with better health, but such educational advantage was mediated by main lifetime occupation.

Indexed as

Educational StatusHealth StatusOccupationsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedOdds RatioRegression AnalysisSocioeconomic Factors

Identifiers

PMID26107636
PMCPMC4480357

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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.