Evidence map›Paper›PMID 34686303›Full record

ArticleAmerican journal of preventive medicine2021

Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis.

Juhua Luo, Paul Dinh, Michael Hendryx, Wenjun Li, Jennifer Robinson, Karen L Margolis

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Juhua LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana. Electronic address: juhluo@indiana.edu.
Paul DinhDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana.
Michael HendryxDepartment of Environmental and Occupational Health, School of Public Health, Indiana University Bloomington, Bloomington, Indiana.
Wenjun LiDepartment of Public Health, University of Massachusetts Lowell, Lowell, Massachusetts.
Jennifer RobinsonDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.
Karen L MargolisHealthPartners Institute, Minneapolis, Minnesota.

Funding

Diabetes, Metformin and Breast Cancer PrognosisR15CA179463 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI LUO, JUHUA · 2013 to 2013
$415k
Sodium-Glucose Cotransporter 2 (SGLT2) inhibitors and lung cancer prognosisR03CA256238 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI LUO, JUHUA · 2021 to 2022
$159k
NCI NIH HHS R03 CA256238NCI NIH HHS R15 CA179463NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018C
6 · The paper itself

Abstract

introductionAlthough risk factors often co-occur, previous studies examining lifestyle or psychosocial factors often treat these factors as individual predictors of health. This study aims to identify the underlying subgroups of women characterized by distinct lifestyle and psychosocial risk patterns and to investigate the prospective associations between risk patterns and mortality among postmenopausal women.

methodsA total of 64,812 postmenopausal women aged 50-79 years without prevalent diabetes, cardiovascular disease, and cancer at baseline (1993-1998) were followed until 2019 with a mean follow-up duration of 14.6 (SD=6.4) years. Latent class analysis was used to identify the latent classes of women with homogeneous combinations of lifestyle and psychosocial variables and to test whether the classes were prospectively associated with mortality. Analyses were stratified by race/ethnicity and were performed in 2020.

resultsA total of 4 latent classes (Healthy Lifestyle and Psychosocial, Risky Psychosocial, Risky Lifestyle, and Risky Lifestyle and Risky Psychosocial) were identified for Hispanic, Black, and White women, and 2 classes (High Risk or Low Risk) were identified for American Indian and Asian women. Women in the Risky Lifestyle and Risky Psychosocial group had the highest hazard ratios for all outcomes studied for all race/ethnicity groups than those in the Healthy Lifestyle and Psychosocial group, followed by those in the Risky Lifestyle group. Risky Psychosocial class was significantly associated with an elevated risk of overall and cardiovascular disease mortality only in Black women.

conclusionsThe class with concurrent risky lifestyle and psychosocial factors conveyed the greatest risk of all types of mortality than a low-risk ref group. Health promotion should address both behavioral and psychosocial risks concurrently.

Indexed as

Life StylePostmenopauseFemaleHealthy LifestyleHumansLatent Class AnalysisRisk Factors

Identifiers

PMID34686303
PMCPMC8542102

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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.