Evidence map›Paper›PMID 23175517›Full record

ArticleInternational journal of epidemiology2012

Does self-rated health predict death in adults aged 50 years and above in India? Evidence from a rural population under health and demographic surveillance.

Siddhivinayak Hirve, Sanjay Juvekar, Somnath Sambhudas, Pallavi Lele, Yulia Blomstedt, Stig Wall, Lisa Berkman, Steve Tollman, Nawi Ng

Abstract read
In one paragraph

Article in International journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Impact of the Terms "American journal of public health · 2019
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  20. Edentulism and other variables associated with self-reported health status in Mexican adults.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Siddhivinayak HirveVadu Rural Health Program, KEM Hospital Research Centre, Pune, Maharashtra, India.
Sanjay Juvekar
Somnath Sambhudas
Pallavi Lele
Yulia Blomstedt
Stig Wall
Lisa Berkman
Steve Tollman
Nawi Ng

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
NCI NIH HHS YA1323-08-CN-0020NIA NIH HHS R01-AG034479NIA NIH HHS Y1-AG-1005-01PHS HHS 04034785
6 · The paper itself

Abstract

backgroundThe Study on Global Ageing and Adult Health (SAGE) aims to improve empirical understanding of health and well-being of adults in developing countries. We examine the role of self-rated health (SRH) in predicting mortality and assess how socio-demographic and other disability measures influence this association.

methodsIn 2007, a shortened SAGE questionnaire was administered to 5087 adults aged ≥50 years under the Health Demographic Surveillance System in rural Pune district, India. Respondents rated their own health with a single global question on SRH. Disability and well-being were assessed using the WHO Disability Assessment Schedule Index, Health State Score and quality-of-life score. Respondents were followed up every 6 months till June 2011. Any change in spousal support, migration or death during follow-up was updated in the SAGE dataset.

resultsIn all, 410 respondents (8%) died in the 3-year follow-up period. Mortality risk was higher with bad/very bad SRH [hazard ratio (HR) in men: 3.06, 95% confidence interval (CI): 1.93-4.87; HR in women: 1.64, 95% CI: 0.94-2.86], independent of age, disability and other covariates. Disability measure (WHO Disability Assessment Schedule Index) and absence of spousal support were also associated with increased mortality risk.

conclusionOur findings confirm an association between bad/very bad SRH and mortality for men, independent of age, socio-demographic factors and other disability measures, in a rural Indian population. This association loses significance in women when adjusted for disability. Our study highlights the strength of nesting cross-sectional surveys within the context of the Health Demographic Surveillance System in studying the role of SRH and mortality.

Indexed as

Health StatusMortalitySelf ReportAgedAged, 80 and overAgingFemaleHealth SurveysHumansIndiaMaleMiddle AgedPersons with DisabilitiesRural PopulationSex FactorsSocioeconomic Factors

Identifiers

PMID23175517
PMCPMC3621387

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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.