Evidence map›Paper›PMID 25142971›Full record

ArticleBMC public health2014

Self-reported health and subsequent mortality: an analysis of 767 deaths from a large Thai cohort study.

Jiaying Zhao, Vasoontara Yiengprugsawan, Sam-ang Seubsman, Matthew Kelly, Chris Bain, Adrian Sleigh, Thai Cohort Study Team

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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

7 authors.

Jiaying Zhao
Vasoontara YiengprugsawanNational Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Medicine, Biology and Environment, the Australian National University, Canberra, Australia. vasoontara.yieng@anu.edu.au.
Sam-ang Seubsman
Matthew Kelly
Chris Bain
Adrian Sleigh
Thai Cohort Study Team

Funding

Wellcome TrustWellcome Trust GR071587MA
6 · The paper itself

Abstract

backgroundFew studies have examined the link between self-reported health (SRH) and subsequent mortality in developing countries, and very few considered mortality effects of changes in SRH. We examined the relationship between SRH and subsequent all cause or cause-specific mortality in Thailand. We also noted if mortality varied after people changed their SRH.

methodsWe used longitudinal data including SRH from a nationwide Thai Cohort Study (baseline 2005-follow-up 2009) and linked to official death records (2005-2012). Cox regression examined the association between SRH in 2005 and subsequent all-cause mortality or cause-specific mortality, with results given as confounder-adjusted hazard ratios (HR). We further assessed association between changes in SRH during 2005-2009 and mortality from 2009 to 2012.

resultsPoor SRH at baseline independently relates strongly with subsequent cardiovascular disease (CVD) mortality (HR = 2.8, CI: 1.3-5.9) and "other" causes of death (HR = 1.9, CI: 1.1-3.3) but moderately with cancer mortality (HR = 1.4, CI: 0.7-3.0). SRH did not exhibit a relationship with injury mortality (HR = 1.0, CI: 0.5-2.1). Worsening SRH from 2005 to 2009 associated with increased mortality in 2009-2012 for females but not for males.

conclusionsIn Thailand, SRH is a good predictor of population mortality due to internal causes (e.g. CVD). SRH is holistic, simple to measure and low cost; when repeated it measures dynamic health status. In many developing countries chronic diseases are emerging and morbidity information is limited. SRH could help monitor such transitions in burdens and trends of population health.

Indexed as

Health StatusHealth Status IndicatorsSelf ReportAdultCardiovascular DiseasesCause of DeathChronic DiseaseCohort StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedMortalityRisk Factors

Identifiers

PMID25142971
PMCPMC4246519

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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.