Evidence map›Paper›PMID 34152588›Full record

ArticleJournal of racial and ethnic health disparities2022

Discrimination, High-Effort Coping, and Cardiovascular Risk Profiles in the Jackson Heart Study: a Latent Profile Analysis.

Amber J Johnson, Kenya McCloyn, Mario Sims

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Health equity engineering: Optimizing hope for a new generation of healthcare.Journal of clinical and translational science · 2024
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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

3 authors at 2 institutions in 1 country.

Amber J JohnsonDepartment of Health Science, California State University, Long Beach, 1250 Bellflower Blvd. FOA-13, Long Beach, CA, 90840, USA. amber.johnson@csulb.edu.ORCID 0000-0002-0552-4984
Kenya McCloyn, Long Beach, 90806, CA, USA.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, Jackson, 39216, MS, USA.
California State University, Long Beach · USJackson Memorial Hospital · US

Funding

NHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

African Americans exhibit heightened risk of cardiovascular disease (CVD) necessitating further examination of biological pathways contributing to CVD incidence. An integrated specificity model suggests discrimination elicits psychophysiological responses that contribute to allostatic load (AL) but may differ by level of perceived discrimination and coping style. Differing psychophysiological risk responses may contribute to varying CVD risk patterns overtime. This study sought to (1) determine CVD risk profiles using AL biomarkers and (2) determine the extent discrimination and high-effort coping (HEC) contribute to inclusion in these profiles. Using Jackson Heart Study data (N = 4476), a latent profile analysis (LPA) using AL indicators was conducted to identify CVD risk profiles. Multinomial logistic regression analysis estimated the odds of risk profile inclusion according to everyday discrimination, lifetime discrimination, discrimination burden, and high-effort coping, adjusting for sex, age, body mass index, and smoking status. LPA identified five profiles exhibiting inflammatory, diabetes, hyperlipidemia, hypertension, and low risk. Greater lifetime discrimination lowered odds of inclusion in the inflammatory risk profile relative to the low risk profile (OR = .82, 95% CI [.73-.93]). Greater HEC increased odds of inclusion in the hyperlipidemia (OR = 1.03, 95% CI [1.00-1.05]) and hypertension (OR = 1.02, 95% CI [1.00-1.04]) risk profiles. Greater discrimination burden with greater HEC increased the likelihood of inclusion in the inflammatory risk profile (OR = 1.07, 95% = [1.06-1.13]). The study supports the use of an integrated specificity model to examine perceived discrimination and underlying CVD risk profiles among African American populations.

Indexed as

Cardiovascular DiseasesHypertensionAdaptation, PsychologicalHeart Disease Risk FactorsHumansLongitudinal StudiesRisk FactorsAfrican AmericansCardiovascular diseaseHigh-effort copingJackson Heart StudyLatent profile analysis

Identifiers

PMID34152588
OpenAlexW3173856531

What OpenQuestion holds

Textmetadata
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.