Using latent class analysis to profile risk behaviors among sexual minority students

2018 ◽  
pp. 120
Author(s):  
Yongwen Jiang ◽  
Jan Mermin ◽  
Tara Cooper ◽  
Rosemary ReillyChammat ◽  
Samara VinerBrown
Keyword(s):  
Latent Class Analysis ◽  
Minority Students ◽  
Risk Behaviors ◽  
Sexual Minority ◽  
Latent Class ◽  
Class Analysis

scholarly journals Syndemic Profiles and Sexual Minority Men’s HIV-Risk Behavior: A Latent Class Analysis

2021 ◽  
Author(s):  
Jillian R. Scheer ◽  
Kirsty A. Clark ◽  
Anthony J. Maiolatesi ◽  
John E. Pachankis
Keyword(s):  
Latent Class Analysis ◽  
Risk Behavior ◽  
Hiv Risk ◽  
Sexual Minority ◽  
Latent Class ◽  
Hiv Risk Behavior ◽  
Class Analysis

scholarly journals Intimate relationships and patterns of drug and sexual risk behaviors among people who inject drugs in Kazakhstan: A latent class analysis

2018 ◽  
Vol 192 ◽  
pp. 294-302 ◽  
Author(s):  
Phillip L. Marotta ◽  
Assel Terlikbayeva ◽  
Louisa Gilbert ◽  
Tim Hunt ◽  
Amar Mandavia ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Sexual Risk ◽  
Risk Behaviors ◽  
Intimate Relationships ◽  
Latent Class ◽  
People Who Inject Drugs ◽  
Sexual Risk Behaviors ◽  
Class Analysis

scholarly journals Patterns of Intimate Partner Violence Victimization and Perpetration Among Sexual Minority Women: A Latent Class Analysis

2018 ◽  
Vol 25 (5) ◽  
pp. 572-592 ◽  
Author(s):  
Megan E. Sutter ◽  
Annie E. Rabinovitch ◽  
Michael A. Trujillo ◽  
Paul B. Perrin ◽  
Lisa D. Goldberg ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Latent Class Analysis ◽  
Sexual Minority ◽  
Partner Violence ◽  
Latent Class ◽  
Intimate Partner ◽  
Minority Women ◽  
Physical Assault ◽  
Class Analysis ◽  
Sexual Minority Women

This study explored patterns of intimate partner violence (IPV) victimization and perpetration in 150 sexual minority women (SMW): 25.3% had been sexually victimized, 34% physically victimized, 76% psychologically victimized, and 29.3% suffered an IPV-related injury. A latent class analysis found four behavioral patterns: (1) minor-only psychological perpetration and victimization; (2) no IPV; (3) minor–severe psychological, physical assault, and injury victimization, and minor-only psychological, physical, and injury perpetration; and (4) severe psychological, sexual, physical assault, and injury victimization and perpetration. Individuals who experienced and/or perpetrated all types experienced the greatest heterosexism at work, school, and in other contexts.

scholarly journals Patterns of Cancer-Related Risk Behaviors Among Construction Workers in Hong Kong: A Latent Class Analysis Approach

2020 ◽  
Vol 11 (1) ◽  
pp. 26-32
Author(s):  
Nan Xia ◽  
Wendy Lam ◽  
Pamela Tin ◽  
Sungwon Yoon ◽  
Na Zhang ◽  
...  
Keyword(s):  
Hong Kong ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Construction Workers ◽  
Analysis Approach ◽  
Class Analysis ◽  
Related Risk

scholarly journals Sexual Initiation Patterns of U.S. Sexual Minority Youth: A Latent Class Analysis

2017 ◽  
Vol 49 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Shoshana K. Goldberg ◽  
Carolyn T. Halpern
Keyword(s):  
Latent Class Analysis ◽  
Sexual Minority ◽  
Latent Class ◽  
Sexual Initiation ◽  
Minority Youth ◽  
Sexual Minority Youth ◽  
Class Analysis

scholarly journals Clustering of Modifiable Behavioral Risk Factors and Their Association with All-Cause Mortality in Taiwan’s Adult Population: a Latent Class Analysis

2021 ◽  
Author(s):  
Shikha Kukreti ◽  
Tsung Yu ◽  
Po Wei Chiu ◽  
Carol Strong
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Health Behavior ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Unhealthy Behavior ◽  
All Cause Mortality

Abstract Background Modifiable risk behaviors, such as smoking, diet, alcohol consumption, physical activity, and sleep, are known to impact health. This study aims toward identifying latent classes of unhealthy lifestyle behavior, exploring the correlations between sociodemographic factors, identifying classes, and further assessing the associations between identified latent classes and all-cause mortality. Methods For this study, the data were obtained from a prospective cohort study in Taiwan. The participants’ self-reported demographic and behavioral characteristics (smoking, physical activity, alcohol consumption, fruit and vegetable intake, and sleep) were used. Latent class analysis was used to identify health-behavior patterns, and Cox proportional hazard regression analysis was used to find the association between the latent class of health-behavior and all-cause mortality. Results A complete dataset was obtained from 290,279 participants with a mean age of 40 (12.4). Seven latent classes were identified, characterized as having a 100% likelihood of at least one unhealthy behavior coupled with the probability of having the other four unhealthy risk behaviors. This study also shows that latent health-behavior classes are associated with mortality, suggesting that they are representative of a healthy lifestyle. Finally, it appeared that multiple risk behaviors were more prevalent in younger men and individuals with low socioeconomic status. Conclusions There was a clear clustering pattern of modifiable risk behaviors among the adults under consideration, where the risk of mortality increased with increases in unhealthy behavior. Our findings can be used to design customized disease prevention programs targeting specific populations and corresponding profiles identified in the latent class analysis.

A latent class analysis of psychological symptoms and health risk behaviors among Chinese adolescents

2021 ◽  
Vol 55 ◽  
pp. 102518
Author(s):  
Jie Hu ◽  
Rong Yang ◽  
Danlin Li ◽  
Shuai Zhao ◽  
Yuhui Wan ◽  
...  
Keyword(s):  
Health Risk ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Psychological Symptoms ◽  
Health Risk Behaviors ◽  
Chinese Adolescents ◽  
Class Analysis

Alcohol-induced risk behaviors among Brazilian nightclub patrons: a latent class analysis

Public Health ◽  
2018 ◽  
Vol 155 ◽  
pp. 99-106 ◽  
Author(s):  
A. Sañudo ◽  
S. Andreoni ◽  
Z.M. Sanchez
Keyword(s):  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Class Analysis
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