Evidence map›Paper›PMID 30481192›Full record

ArticlePloS one2018

The association of employment status with ideal cardiovascular health factors and behaviors among Hispanic/Latino adults: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Mayra L Estrella, Natalya I Rosenberg, Ramon A Durazo-Arvizu, Hector M Gonzalez, Matthew S Loop, Richard H Singer, James P Lash, Sheila F Castañeda, Krista M Perreira, Kamal Eldeirawi and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.7field-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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. 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

11 authors at 6 institutions in 1 country.

Mayra L EstrellaInstitute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.
Natalya I RosenbergInstitute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.ORCID 0000-0002-8169-8396
Ramon A Durazo-ArvizuInstitute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.
Hector M GonzalezDepartment of Neurosciences, University of California San Diego, San Diego, CA, United States of America.
Matthew S LoopDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
Richard H SingerDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States of America.
James P LashDivision of Nephrology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.
Sheila F CastañedaGraduate School of Public Health, San Diego State University, San Diego, CA, United States of America.
Krista M PerreiraDepartment of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
Kamal EldeirawiDepartment of Health Systems Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United States of America.
Martha L DaviglusInstitute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.
University of Illinois Chicago · USUniversity of North Carolina at Chapel Hill · USLoyola University Medical Center · USSan Diego State University · USUniversity of California San Diego · USUniversity of Miami · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA)R01AG048642 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GONZALEZ, HECTOR M · 2015 to 2019
$5.7M
Training in CVD Epidemiology & Related Chronic Diseases in Minority PopulationsT32HL125294 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DAVIGLUS, MARTHA L · 2015 to 2019
$1.3M
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHGRI NIH HHS HHSN268201300003CNHLBI NIH HHS HHSN268201000031CNHLBI NIH HHS HHSN268201300003INHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS T32 HL125294NIA NIH HHS R01 AG048642NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundThe American Heart Association's 2020 Impact Goals propose to improve cardiovascular health (CVH) and reduce deaths from cardiovascular diseases and stroke in the US. Targeted health promotion efforts in workplaces and communities are needed to achieve these population-level changes. The present study examined the sex-specific cross-sectional associations between employment status and ideal CVH among Hispanics/Latinos, and whether these associations were modified by age (i.e., younger adults [aged 18-44] compared to middle-aged and older adults [aged 45-74]).

methodsThis study included 4,797 males and 7,043 females (aged 18-74) from the Hispanic Community Health Study / Study of Latinos. Employment status was categorized as employed full-time (FT), employed part-time (PT), employed (FT or PT) and homemakers, homemakers only, and unemployed. CVH metrics, operationalized as 'ideal' versus 'less than ideal,' included health factors (i.e., blood pressure, cholesterol, and fasting glucose) and health behaviors (i.e., body mass index, smoking, physical activity [PA], and diet). A total CVH score was derived based on the seven CVH metrics, and dichotomized as ideal vs. less than ideal (score of 11-14 vs. 0-10). Survey-based generalized linear regression models with Gaussian binomial distribution were used to estimate adjusted prevalence differences (APDs) and their 95% confidence intervals (CIs) for the associations between employment status (with employed FT as referent) and ideal CVH (total score and each metric), adjusting for socio-demographic characteristics. Effect modification by age was examined.

resultsAmong males, compared to their employed FT counterparts, those who were employed PT had a higher prevalence of ideal CVH score (APD = 6.8, 95% CI = 1.7, 11.8), ideal BMI (APD = 8.5, 95% CI = 3.0, 14.0), and ideal PA (APD = 4.8, 95% CI = 0.9, 8.7). Age modified the associations of employment type with ideal CVH score and ideal BMI, i.e., younger males who were employed PT had a higher prevalence of ideal CVH score and ideal BMI. Among females, employment status was not associated with ideal CVH score. Compared to females employed FT, females who were homemakers had a lower prevalence of ideal (non-) smoking (APD = -4.7, 95% CI = -8.5, -1.0) and ideal PA (APD = -7.9, 95% CI = -12.7, -3.0), and females who were unemployed had a lower prevalence of ideal PA (APD = -10.4, 95% CI = -16.7, -4.1). Age modified the associations of employment type with ideal fasting glucose and ideal PA, i.e., middle-aged and older females who were homemakers or unemployed had a lower prevalence of ideal fasting glucose and ideal PA.

conclusionsHispanic/Latino males who were employed PT had the most favorable CVH profiles but these associations were mostly driven by better CVH (total score and metrics) among younger males. Hispanic/Latino females who were homemakers or unemployed had lower rates of ideal CVH metrics.

Indexed as

Cardiovascular Physiological PhenomenaHealth StatusAdolescentAdultAgedCross-Sectional StudiesEmploymentFemaleHispanic or LatinoHumansMaleMiddle AgedPublic HealthSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID30481192
PMCPMC6258516
OpenAlexW2902695219

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.