Evidence map›Paper›PMID 21623031›Full record

ArticleThe Indian journal of medical research2011

Socio-economic factors & longevity in a cohort of Kerala State, India.

Catherine Sauvaget, Kunnambath Ramadas, Jean-Marie Fayette, Gigi Thomas, Somanathan Thara, Rengaswamy Sankaranarayanan

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  4. Review
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  12. Research on social inequalities in health in India.The Indian journal of medical research · 2011
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Catherine SauvagetScreening Group, Section of Early Detection & Prevention, International Agency for Research on Cancer, Lyon, France. sauvagetc@iarc.fr
Kunnambath Ramadas
Jean-Marie Fayette
Gigi Thomas
Somanathan Thara
Rengaswamy Sankaranarayanan

Funding

Cancer Research UK
6 · The paper itself

Abstract

BACKGROUND &

objectivesEven though Kerala State is well-known for its egalitarian policies in terms of healthcare, redistributive actions and social reforms, and its health indicators close to those of high-resource countries despite a poor per-capita income, it is not clear whether socio-economic disparities in terms of life expectancy are observed. This study was therefore carried out to study the impact of socio-economic level on life expectancy in individuals living in Kerala.

methodsA cohort of 1,67,331 participants aged 34 years and above in Thiruvananthapuram district, having completed a lifestyle questionnaire at baseline in 1995, was followed up for mortality and cause of death until 2005. Survival estimates were based on the participants' vital status and death rates were calculated separately for men and women and for several socio-economic factors, stratified by age.

resultsAt 40 years, men and women were expected to live another 34 and 37 years, respectively. Life expectancy varied across the participants' different socio-economic categories: those from high income households with good housing conditions, materially privileged households and small households, had a 2-3 years longer life expectancy as compared to the deprived persons. Also, those who went to college lived longer than the illiterates. The gaps between categories were wider in men than in women. INTERPRETATION &

conclusionsSocio-economic disparity in longevity was observed: wealthy people from Kerala State presented a longer life expectancy.

Indexed as

Health StatusInfant MortalityLife ExpectancyModels, TheoreticalPublic Health PracticeSocioeconomic FactorsAdultAge FactorsCohort StudiesFemaleHumansIndiaInfant, NewbornMaleSex FactorsSurveys and Questionnaires

Identifiers

PMID21623031
PMCPMC3121277

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LicenceCC BY-NC-SA
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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.