Evidence map›Paper›PMID 25057938›Full record

ArticlePloS one2014

Association of socioeconomic status with overall and cause specific mortality in the Republic of Seychelles: results from a cohort study in the African region.

Silvia Stringhini, Valentin Rousson, Bharathi Viswanathan, Jude Gedeon, Fred Paccaud, Pascal Bovet

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  9. Educational Inequality in Obesity-Related Mortality in Korea.Journal of Korean medical science · 2017
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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

6 authors at 2 institutions in 2 countries.

Silvia StringhiniInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Valentin RoussonInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Bharathi ViswanathanMinistry of Health, Victoria, Republic of Seychelles.
Jude GedeonMinistry of Health, Victoria, Republic of Seychelles.
Fred PaccaudInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Pascal BovetInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland; Ministry of Health, Victoria, Republic of Seychelles.
Institute of Social and Preventive Medicine · CHMinistry of Health · SC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow socioeconomic status (SES) is consistently associated with higher mortality in high income countries. Only few studies have assessed this association in low and middle income countries, mainly because of sparse reliable mortality data. This study explores SES differences in overall and cause-specific mortality in the Seychelles, a rapidly developing small island state in the African region.

methodsAll deaths have been medically certified over more than two decades. SES and other lifestyle-related risk factors were assessed in a total of 3246 participants from three independent population-based surveys conducted in 1989, 1994 and 2004. Vital status was ascertained using linkage with vital statistics. Occupational position was the indicator of SES used in this study and was assessed with the same questions in the three surveys.

resultsDuring a mean follow-up of 15.0 years (range 0-23 years), 523 participants died (overall mortality rate 10.8 per 1000 person-years). The main causes of death were cardiovascular disease (CVD) (219 deaths) and cancer (142 deaths). Participants in the low SES group had a higher mortality risk for overall (HR = 1.80; 95% CI: 1.24-2.62), CVD (HR = 1.95; 1.04-3.65) and non-cancer/non-CVD (HR = 2.14; 1.10-4.16) mortality compared to participants in the high SES group. Cancer mortality also tended to be patterned by SES (HR = 1.44; 0.76-2.75). Major lifestyle-related risk factors (smoking, heavy drinking, obesity, diabetes, hypertension, hypercholesterolemia) explained a small proportion of the associations between low SES and all-cause, CVD, and non-cancer/non-CVD mortality.

conclusionsIn this population-based study assessing social inequalities in mortality in a country of the African region, low SES (as measured by occupational position) was strongly associated with overall, CVD and non-cancer/non-CVD mortality. Our findings support the view that the burden of non-communicable diseases may disproportionally affect people with low SES in low and middle income countries.

Indexed as

Social ClassAdultAgedBinge DrinkingCardiovascular DiseasesCause of DeathCohort StudiesDeveloping CountriesDiabetes MellitusFemaleHumansHypercholesterolemiaHypertensionMaleMiddle AgedNeoplasms

Identifiers

PMID25057938
PMCPMC4109956
OpenAlexW2094958491

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.