Evidence map›Paper›PMID 34330849›Full record

ArticleBMJ open2021

Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area.

Yi-An Ko, Jenny Shen, Jeong Hwan Kim, Matthew Topel, Mahasin Mujahid, Herman Taylor, Arshed Quyyumi, Mario Sims, Viola Vaccarino, Peter Baltrus and 1 more

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Article in BMJ open, 2021. 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. Review
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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.

Yi-An KoDepartment of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, Georgia, USA yko8@emory.edu.ORCID 0000-0002-6543-9765
Jenny ShenDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jeong Hwan KimDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA.
Matthew TopelDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA.
Mahasin MujahidDivision of Epidemiology, University of California Berkeley School of Public Health, Berkeley, California, USA.
Herman TaylorDepartment of Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA.
Arshed QuyyumiDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Viola VaccarinoDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA.
Peter BaltrusDepartment of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA.
Tene LewisDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo simultaneously examine multiple individual-level neighbourhood perceptions and psychosocial characteristics and their relationships with cardiovascular health (CVH) among blacks.

designCross-sectional study.

settingSubjects were recruited between 2016 and 2018 via convenience sampling.

participants385 Black men and women, age 30-70 living in the Atlanta metropolitan area (Georgia, USA). PRIMARY OUTCOME MEASURE: Individual's CVH was summarised as a composite score using American Heart Association's Life's Simple 7 (LS7) metrics.

methodsWe implemented unsupervised learning (k-means) and supervised learning (Bayesian Dirichlet process clustering) to identify clusters based on 11 self-reported neighbourhood perception and psychosocial characteristics. We also performed principal component analysis to summarise neighbourhood perceptions and psychosocial variables and assess their associations with LS7 scores.

resultsK-means and Bayesian clustering resulted in 4 and 5 clusters, respectively. Based on the posterior distributions, higher LS7 scores were associated with better neighbourhood perceptions and psychosocial characteristics, including neighbourhood safety, social cohesion, activities with neighbours, environmental mastery, purpose in life, resilient coping and no depression. Taken together, the first principal components of neighbourhood perceptions and psychosocial characteristics were associated with an increase of 0.07 (95% CI -0.17 to 0.31) and 0.31 (95% CI 0.06 to 0.55) in LS7 score, respectively, after accounting for age, sex, household income and education level.

conclusionBoth neighbourhood perception and psychosocial domains were related to CVH, but individual psychosocial characteristics appeared to contribute to CVH most. Approaches that acknowledge the importance of factors in both domains may prove most beneficial for enhancing resilience and promoting CVH among black communities.

Indexed as

Black or African AmericanCardiovascular DiseasesAdultAgedBayes TheoremCross-Sectional StudiesFemaleGeorgiaHumansMaleMiddle AgedRisk FactorsUnited Statescoronary heart diseaseepidemiologymental health

Identifiers

PMID34330849
PMCPMC8327812

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