Evidence map›Paper›PMID 27279761›Full record

ArticleClinical medicine insights. Women's health2016

Psychosocial Clusters and their Associations with Well-Being and Health: An Empirical Strategy for Identifying Psychosocial Predictors Most Relevant to Racially/Ethnically Diverse Women's Health.

Jennifer M Jabson, Deborah Bowen, Janice Weinberg, Candyce Kroenke, Juhua Luo, Catherine Messina, Sally Shumaker, Hilary A Tindle

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine insights. Women's health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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

8 authors at 5 institutions in 1 country.

Jennifer M JabsonDepartment of Public Health, University of Tennessee, Knoxville, TN, USA.
Deborah BowenDepartment of Bioethics and Humanities, University of Washington, Seattle, WA, USA.
Janice WeinbergDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Candyce KroenkeKaiser Permanente Division of Research, Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Juhua LuoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Catherine MessinaCommunity and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA.
Sally ShumakerSocial Sciences and Health Polic, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Hilary A TindleDepartment of Medicine, Vanderbilt University, Nashville, TN, USA.
Boston University · USIndiana University Bloomington · USUniversity of Tennessee at Knoxville · USUniversity of Washington · USVanderbilt University · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

backgroundStrategies for identifying the most relevant psychosocial predictors in studies of racial/ethnic minority women's health are limited because they largely exclude cultural influences and they assume that psychosocial predictors are independent. This paper proposes and tests an empirical solution.

methodsHierarchical cluster analysis, conducted with data from 140,652 Women's Health Initiative participants, identified clusters among individual psychosocial predictors. Multivariable analyses tested associations between clusters and health outcomes.

resultsA Social Cluster and a Stress Cluster were identified. The Social Cluster was positively associated with well-being and inversely associated with chronic disease index, and the Stress Cluster was inversely associated with well-being and positively associated with chronic disease index. As hypothesized, the magnitude of association between clusters and outcomes differed by race/ethnicity.

conclusionsBy identifying psychosocial clusters and their associations with health, we have taken an important step toward understanding how individual psychosocial predictors interrelate and how empirically formed Stress and Social clusters relate to health outcomes. This study has also demonstrated important insight about differences in associations between these psychosocial clusters and health among racial/ethnic minorities. These differences could signal the best pathways for intervention modification and tailoring.

Indexed as

chronic diseasehierarchical cluster analysispsychosocial clustersquality of liferace/ethnicitywomen’s health

Identifiers

PMID27279761
PMCPMC4896535
OpenAlexW2414143115

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.