Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis

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

doi:10.1016/j.amepre.2021.04.025

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Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis

Journal article

Open access

Peer reviewed

Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis

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

American journal of preventive medicine, Vol.61(5), pp.E225-E233

11/01/2021

DOI: 10.1016/j.amepre.2021.04.025

PMCID: PMC8542102

PMID: 34686303

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https://www.ncbi.nlm.nih.gov/pmc/articles/8542102View

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Abstract

Introduction: Although 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. Methods: A 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. Results: A 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. Conclusions: The 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. Am J Prev Med 2021;61(5):e225-e233. (c) 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

General & Internal Medicine

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Medicine, General & Internal

Public, Environmental & Occupational Health

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Details

Title: Subtitle: Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis
Creators: Juhua Luo - Indiana University Bloomington
Paul Dinh - Indiana University Bloomington
Michael Hendryx - Indiana University Bloomington
Wenjun Li - Univ Massachusetts, Dept Publ Hlth, Lowell, MA USA
Jennifer Robinson - University of Iowa
Karen L. Margolis - HealthPartners
Resource Type: Journal article
Publication Details: American journal of preventive medicine, Vol.61(5), pp.E225-E233
DOI: 10.1016/j.amepre.2021.04.025
PMID: 34686303
PMCID: PMC8542102
NLM abbreviation: Am J Prev Med
ISSN: 0749-3797
eISSN: 1873-2607
Publisher: Elsevier
Number of pages: 9
Grant note: HHSN268201600018C; HHSN268201600001C; HHSN268201600002C; HHSN26 8201600003C; HHSN268201600004C / National Heart, Lung, and Blood Institute of the NIH, HHS
Language: English
Date published: 11/01/2021
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9984363630402771

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