Patterns of health risk behaviors among job-seekers: a latent class analysis

2014 ◽  
Vol 60 (1) ◽  
pp. 111-119 ◽  
Author(s):  
Inga Schnuerer ◽  
Sophie Baumann ◽  
Katja Haberecht ◽  
Beate Gaertner ◽  
Ulrich John ◽  
...  
Keyword(s):  
Health Risk ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Health Risk Behaviors ◽  
Class Analysis ◽  
Job Seekers

scholarly journals Latent Class Analysis of Lifestyle Characteristics and Health Risk Behaviors among College Youth

2009 ◽  
Vol 10 (4) ◽  
pp. 376-386 ◽  
Author(s):  
Melissa Nelson Laska ◽  
Keryn E. Pasch ◽  
Katherine Lust ◽  
Mary Story ◽  
Ed Ehlinger
Keyword(s):  
Health Risk ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Health Risk Behaviors ◽  
Class Analysis ◽  
College Youth

scholarly journals Latent Class Analysis of Multiple Health Risk Behaviors among Australian University Students and Associations with Psychological Distress

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 425 ◽  
Author(s):  
Melinda J. Hutchesson ◽  
Mitch J. Duncan ◽  
Stina Oftedal ◽  
Lee M. Ashton ◽  
Christopher Oldmeadow ◽  
...  
Keyword(s):  
Psychological Distress ◽  
University Students ◽  
Health Risk ◽  
Health Behaviors ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Health Risk Behaviors ◽  
Demographic Characteristics ◽  
Class Analysis

University students have high rates of health risk behaviors and psychological distress. This study explores patterns of health behaviors among a sample of Australian university students, and determines whether patterns of health behaviors are associated with psychological distress and demographic characteristics. Cross-sectional data from the University of Newcastle Student Healthy Lifestyle Survey 2019 were analyzed. Fruit and vegetable intake, sugar-sweetened beverage intake, physical activity, sitting time, smoking, alcohol intake, drug use, sleep and psychological distress were assessed. Latent class analysis (LCA) was used to identify patterns of health risk behaviors, and latent class regression to explore associations between psychological distress and demographic characteristics with health behavior classes. Analysis included 1965 students (mean age 25.8 ± 8.6 years, 70.7% female). Three patterns of health behaviors were identified: healthier (48.6%), moderate (40.2%) and unhealthy (11.2%) lifestyle classes. Students in the moderate and unhealthy lifestyle classes had higher odds of moderate (OR 1.43 and 2.37) and high/very high psychological distress risk (OR 2.71 and 11.69). Students in the unhealthy and moderate lifestyle classes had a higher odds of being male, younger, enrolled in transition to university and English language courses, Aboriginal or Torres Strait Islander descent and to report some financial difficulty. Study findings may be used to inform the design of mental health interventions for university students that target key health risk behaviors.

scholarly journals Latent Class Analysis to Represent Social Determinant of Health Risk Groups in the Medicaid Cohort of the District of Columbia

Medical Care ◽  
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Melissa L. McCarthy ◽  
Zhaonian Zheng ◽  
Marcee E. Wilder ◽  
Angelo Elmi ◽  
Paige Kulie ◽  
...  
Keyword(s):  
Health Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
District Of Columbia ◽  
Risk Groups ◽  
Social Determinant ◽  
Class Analysis ◽  
Social Determinant Of Health

Substance Use Patterns Among Adolescents: A Latent Class Analysis

2019 ◽  
Vol 26 (6) ◽  
pp. 586-594
Author(s):  
Heeyoung Lee ◽  
Kyeongra Yang ◽  
Joshua Palmer ◽  
Brayden Kameg ◽  
Lin Clark ◽  
...  
Keyword(s):  
Substance Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Health Risk Behaviors ◽  
Depressive Mood ◽  
Health Concern ◽  
Class Analysis ◽  
Use Patterns ◽  
Control And Prevention ◽  
Synthetic Marijuana

BACKGROUND: Substance use among adolescents remains a major public health concern, which is correlated with mortality. AIMS: The purpose of this study was to (1) examine risk factors predisposing adolescents to substance use and (2) identify patterns of simultaneous drug exploration among adolescents. METHOD: Data ( N = 15,624; collected in 2015) were drawn from the Centers for Disease Control and Prevention, National Youth Risk Behavior Survey, which is a national school-based survey of 9th- to 12th-grade students to monitor health risk behaviors. Substance use was assessed using self-reported questionnaires, and latent class analysis and logistic regression were used for data analysis. RESULTS: Five latent patterns of substance use were identified: (1) abstinent (64%); (2) 1st-step social experimenter (25%) (i.e., used alcohol, e-cigarettes, and/or marijuana); (3) 2nd-step social experimenter (6%) (i.e., used alcohol, cigarettes, e-cigarettes, marijuana, synthetic marijuana, and/or prescription pills); (4) pill experimenter (4%), (i.e., used prescription pills); (5) full experimenter (2%) (i.e., likely to use all assessed substances). Gender, race, grade, and depressive mood were strong predictors of membership in a particular substance use class. CONCLUSION: Adolescents presenting for care may possess symptoms associated with various substances beyond those being managed. Mental health nurses can leverage these results in reducing adolescent substance use through primary and secondary prevention. A longitudinal study of not only substance use patterns but also the progression to substance use disorders among adolescents is warranted.

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