Evidence map›Paper›PMID 25175388›Full record

ArticleBMC public health2014

Socioeconomic and demographic predictors of selected cardiovascular risk factors among adults living in Pohnpei, Federated States of Micronesia.

Gwendolyn M Hosey, Marcus Samo, Edward W Gregg, Diane Padden, Sandra Garmon Bibb

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Gwendolyn M HoseyDivision of Diabetes Translation, Centers for Disease Control and Prevention, National Center for Chronic Disease and Health Promotion, Mailstop K10, 2877 Brandywine Rd, Atlanta, GA 30341, USA. akapacific@hughes.net.
Marcus Samo
Edward W Gregg
Diane Padden
Sandra Garmon Bibb

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of cardiovascular disease (CVD) is increasing in low-to-middle income countries (LMIC). Although strong evidence for inverse associations between socioeconomic position and health outcomes in high-income countries exists, less is known about LMIC. Understanding country-level differences is critical to tailoring effective population health policy and interventions. We examined the association of socioeconomic position and demographic characteristics in determining CVD risk factors among adults living in Pohnpei, Federated States of Micronesia.

methodsWe used data from the cross-sectional World Health Organization's STEPwise approach to surveillance 2002 Pohnpei dataset and logistic regression analyses to examine the association of socioeconomic position (education, income, employment) and demographics (age, sex) with selected behavioral and anthropometric CVD risk factors. The study sample consisted of 1638 adults (642 men, 996 women; 25-64 years).

resultsIn general, we found that higher education (≥13 years) was associated with lower odds for daily tobacco use (odds ratio [OR]: 0.46, confidence interval [CI]: 0.29-0.75, p = 0.004) and low physical activity (OR: 0.55, CI: 0.34-0.87, p = 0.027). Men had over three times the odds of daily tobacco use than women (OR: 3.18, CI: 2.29-4.43, p < 0.001). Among women, paid employment nearly doubled the odds of daily tobacco use (OR: 1.72, CI: 1.08-2.73, p = 0.006) than unemployment. For all participants, income > $10,000 was associated with over twice the odds of high blood pressure (BP) (OR: 2.24, CI: 1.43-3.51, p = 0.003), versus lower-income (<$5,000). Men had over twice the odds of high BP (OR: 2.01, CI: 1.43-2.83, p < 0.001) than women. Paid employment nearly doubled the odds of central obesity with the magnitude of association increasing by more than 20% adjusted for sex and age. Men reporting paid employment had three times the odds of central obesity (OR: 3.00, CI: 1.56-5.78, p < 0.001) than those unemployed.

conclusionOur analysis revealed associations between socioeconomic position and selected CVD risk factors, which varied by risk-factor, sex and age characteristics, and direction of association. The 2002 Pohnpei dataset provides country-level baseline information; further population health surveillance might define trends. Stronger country-level data might help decision-makers tailor population-based prevention strategies.

Indexed as

AdultCardiovascular DiseasesCross-Sectional StudiesFemaleHumansHypertensionMaleMicronesiaMiddle AgedOdds RatioPopulation SurveillanceRisk FactorsSex Factors

Identifiers

PMID25175388
PMCPMC4158138

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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.