Evidence map›Paper›PMID 28385069›Full record

ArticleEthnicity & health2018

Is there a link between wealth and cardiovascular disease risk factors among Hispanic/Latinos? Results from the HCHS/SOL sociocultural ancillary study.

Daniel F López-Cevallos, Patricia Gonzalez, Jeffrey W Bethel, Sheila F Castañeda, Carmen R Isasi, Frank J Penedo, Lizette Ojeda, Sonia M Davis, Diana A Chirinos, Kristine M Molina and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Ethnicity & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Subjective Social Status and Cardiometabolic Risk Markers by Intersectionality of Race/Ethnicity and Sex Among U.S. Young Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 9 institutions in 2 countries.

Daniel F López-Cevallosa Center for Latino/a Studies and Engagement , Oregon State University , Corvallis , USA.
Patricia Gonzalezc Institute for Behavioral and Community Health , Graduate School of Public Health, San Diego State University , San Diego , USA.
Jeffrey W Betheld School of Biological and Population Health Sciences , College of Public Health and Human Sciences, Oregon State University , Corvallis , USA.
Sheila F Castañedac Institute for Behavioral and Community Health , Graduate School of Public Health, San Diego State University , San Diego , USA.ORCID 0000-0002-1975-0544
Carmen R Isasie Department of Epidemiology and Population Health , Albert Einstein College of Medicine , Bronx , USA.
Frank J Penedof Department of Medical Social Sciences , Northwestern University , Chicago , USA.
Lizette Ojedag Department of Educational Psychology , Texas A&M University , College Station , USA.
Sonia M Davish Collaborative Studies Coordinating Center, Department of Biostatistics , University of North Carolina , Chapel Hill , USA.
Diana A Chirinosi Behavioral Medicine Research Center , School of Medicine, University of Miami , Miami , USA.
Kristine M Molinaj Department of Psychology , University of Illinois at Chicago , Chicago , USA.
Yanping Tengh Collaborative Studies Coordinating Center, Department of Biostatistics , University of North Carolina , Chapel Hill , USA.
Venera Bekteshik School of Social Work , University of Illinois at Urbana-Champaign , Urbana , USA.
Linda C Galloc Institute for Behavioral and Community Health , Graduate School of Public Health, San Diego State University , San Diego , USA.
San Diego State University · USOregon State University · USThe Coordinating Center · USAlbert Einstein College of Medicine · USNorthwestern University · USTexas A&M University · USUniversity of Illinois Chicago · USUniversity of Illinois Urbana-Champaign · USUniversity of Miami · US

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Ancillary to HCHS/SOL: Sociocultural Factors and CVD risk/prevalence in HispanicsRC2HL101649 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI GALLO, LINDA C, LLABRE, MARIA MAGDALENA · 2009 to 2010
$4.7M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS RC2 HL101649NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

objectiveTo examine the relationship between wealth and cardiovascular disease risk factors among Hispanic/Latinos of diverse backgrounds.

designThis cross-sectional study used data from 4971 Hispanic/Latinos, 18-74 years, who participated in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) baseline exam and the HCHS/SOL Sociocultural Ancillary Study. Three objectively measured cardiovascular disease risk factors (hypertension, hypercholesterolemia, and obesity) were included. Wealth was measured using an adapted version of the Home Affluence Scale, which included questions regarding the ownership of a home, cars, computers, and recent vacations.

resultsAfter adjusting for traditional socioeconomic indicators (income, employment, education), and other covariates, we found that wealth was not associated with hypertension, hypercholesterolemia or obesity. Analyses by sex showed that middle-wealth women were less likely to have hypercholesterolemia or obesity. Analyses by Hispanic/Latino background groups showed that while wealthier Central Americans were less likely to have obesity, wealthier Puerto Ricans were more likely to have obesity.

conclusionThis is the first study to explore the relationship between wealth and health among Hispanic/Latinos of diverse backgrounds, finding only partial evidence of this association. Future studies should utilize more robust measures of wealth, and address mechanisms by which wealth may impact health status among Hispanic/Latinos of diverse backgrounds in longitudinal designs.

Indexed as

AdultAgedCardiovascular DiseasesCross-Sectional StudiesEconomic StatusFemaleHispanic or LatinoHumansMaleMiddle AgedObesityPrevalenceRisk FactorsSmokingSocioeconomic FactorsUnited Statescardiovascular disease risk factorsHispanic/LatinoshypercholesterolemiahypertensionobesityWealth

Identifiers

PMID28385069
PMCPMC5796865
OpenAlexW2604291688

What OpenQuestion holds

Textmetadata
LicenceTDM
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.