Evidence map›Paper›PMID 22643615›Full record

ArticleJournal of health care for the poor and underserved2012

Using the Framingham Risk Score to evaluate immigrant effect on cardiovascular disease risk in Mexican Americans.

Jennifer J Salinas, Bassent Abdelbary, Jeffrey Wilson, Monir Hossain, Susan Fisher-Hoch, Joseph McCormick

Abstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Jennifer J SalinasDivision of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Brownsville Campus, Brownsville, TX 78520, USA. jennifer.j.salinas@uth.tmc.edu
Bassent Abdelbary
Jeffrey Wilson
Monir Hossain
Susan Fisher-Hoch
Joseph McCormick

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
TU SALUD SI CUENTA: A COMMUNITY BASED MEDIA INTERVENTION FOR MEXICAN AMERICANP20MD000170 · NIMHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KELDER, STEVEN HAROLD · 2003 to 2012
$13.1M
NCRR NIH HHS 1U54RR023417-01NCRR NIH HHS UL1 RR024148NIMHD NIH HHS MD000170 P20NIMHD NIH HHS P20 MD000170PHS HHS N02A1025465
6 · The paper itself

Abstract

backgroundThis study uses the Framingham Risk Score (FRS) for 10-year cardiovascular disease (CVD) to evaluate differences between Mexican American immigrants and the U.S.-born population. METHODS AND

resultsData from the Cameron County Hispanic Cohort (N=1,559). Average total risk scores were generated by age group for each gender. Regression analysis was conducted adjusting for covariates and interaction effects. Both women and men in the CCHC sample who were long-term immigrant residents (mean FRS scores women 4.2 with p<.001 vs. men 4.0 with p<.001) or born in the U.S. (mean FRS scores women 4.6 with p<.001 vs. men 3.3 with p<.001) had significantly higher risk scores than immigrants who had only been in this country for less than 10 years. The interaction model indicates that differences between immigrant and native-born Mexican Americans are most greatly felt at lowest levels of socioeconomic status for men in the CCHC.

conclusionsThis study suggests that in terms of immigrant advantage in CVD risk, on whom, where, and how the comparisons are being made have important implications for the degree of difference observed.

Indexed as

Emigrants and ImmigrantsMexican AmericansAdultAgedCardiovascular DiseasesData CollectionFemaleHumansMaleMiddle AgedRisk AssessmentUnited States

Identifiers

PMID22643615
PMCPMC3684279

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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.