Evidence map›Paper›PMID 22389633›Full record

ArticlePLoS medicine2012

Socioeconomic factors and all cause and cause-specific mortality among older people in Latin America, India, and China: a population-based cohort study.

Cleusa P Ferri, Daisy Acosta, Mariella Guerra, Yueqin Huang, Juan J Llibre-Rodriguez, Aquiles Salas, Ana Luisa Sosa, Joseph D Williams, Ciro Gaona, Zhaorui Liu and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% of its field
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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  13. A review of the 10/66 dementia research group.Social psychiatry and psychiatric epidemiology · 2019
    Review
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  15. Article
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  17. Article
  18. Cohort Profile: The 10/66 study.International journal of epidemiology · 2017
    Article
  19. Article
  20. Article
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

13 authors at 8 institutions in 8 countries.

Cleusa P FerriKing's College London Institute of Psychiatry, Section of Epidemiology, Health Service and Population Research Department, London, United Kingdom. cleusa.ferri@kcl.ac.uk
Daisy Acosta
Mariella Guerra
Yueqin Huang
Juan J Llibre-Rodriguez
Aquiles Salas
Ana Luisa Sosa
Joseph D Williams
Ciro Gaona
Zhaorui Liu
Lisseth Noriega-Fernandez
A T Jotheeswaran
Martin J Prince
King's College London · GBPeking University · CNCentral University of Venezuela · VECuban Neuroscience Center · CUHospital Clínico Universitario de Caracas · VEIndian Institute of Public Health Gandhinagar · INUniversidad Nacional Pedro Henríquez Ureña · DOVoluntary Health Services Hospital · IN

Funding

Wellcome Trust 066133Wellcome Trust 080002Wellcome Trust GR066133Wellcome Trust GR08002
6 · The paper itself

Abstract

backgroundEven in low and middle income countries most deaths occur in older adults. In Europe, the effects of better education and home ownership upon mortality seem to persist into old age, but these effects may not generalise to LMICs. Reliable data on causes and determinants of mortality are lacking. METHODS AND

findingsThe vital status of 12,373 people aged 65 y and over was determined 3-5 y after baseline survey in sites in Latin America, India, and China. We report crude and standardised mortality rates, standardized mortality ratios comparing mortality experience with that in the United States, and estimated associations with socioeconomic factors using Cox's proportional hazards regression. Cause-specific mortality fractions were estimated using the InterVA algorithm. Crude mortality rates varied from 27.3 to 70.0 per 1,000 person-years, a 3-fold variation persisting after standardisation for demographic and economic factors. Compared with the US, mortality was much higher in urban India and rural China, much lower in Peru, Venezuela, and urban Mexico, and similar in other sites. Mortality rates were higher among men, and increased with age. Adjusting for these effects, it was found that education, occupational attainment, assets, and pension receipt were all inversely associated with mortality, and food insecurity positively associated. Mutually adjusted, only education remained protective (pooled hazard ratio 0.93, 95% CI 0.89-0.98). Most deaths occurred at home, but, except in India, most individuals received medical attention during their final illness. Chronic diseases were the main causes of death, together with tuberculosis and liver disease, with stroke the leading cause in nearly all sites.

conclusionsEducation seems to have an important latent effect on mortality into late life. However, compositional differences in socioeconomic position do not explain differences in mortality between sites. Social protection for older people, and the effectiveness of health systems in preventing and treating chronic disease, may be as important as economic and human development.

Indexed as

MortalitySocioeconomic FactorsAgedAged, 80 and overAge FactorsCause of DeathChinaChronic DiseaseCohort StudiesDeveloping CountriesFemaleHumansIndiaLatin AmericaLongitudinal StudiesMale

Identifiers

PMID22389633
PMCPMC3289608
OpenAlexW2050947279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.