Mental health and substance use patterns associated with lifetime suicide attempt, incarceration, and homelessness: A latent class analysis of a nationally representative sample of U.S. veterans.

2020 ◽  
Author(s):  
Emily R. Edwards ◽  
Sarah Barnes ◽  
Usha Govindarajulu ◽  
Joseph Geraci ◽  
Jack Tsai
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Suicide Attempt ◽  
Latent Class Analysis ◽  
Representative Sample ◽  
Latent Class ◽  
Class Analysis ◽  
Use Patterns ◽  
Nationally Representative

A national study of the availability of law enforcement agency wellness programming for officers: A latent class analysis

2021 ◽  
pp. 146135572110640
Author(s):  
Bruce G Taylor ◽  
Weiwei Liu ◽  
Elizabeth A. Mumford
Keyword(s):  
Mental Health ◽  
United States ◽  
Substance Use ◽  
Law Enforcement ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Wellness Programs ◽  
The United States ◽  
Substance Use Treatment ◽  
Class Analysis

The purpose of this study is to understand the availability of employee wellness programs within law enforcement agencies (LEAs) across the United States, including physical fitness, resilience/wellness, coping skills, nutrition, mental health treatment, and substance use treatment. The research team investigated whether patterns of LEA wellness programming are identifiable and, if so, what characteristics describe these patterns. We assess using latent class analysis whether there are distinct profiles of agencies with similar patterns offering different types of wellness programs and explore what characteristics distinguish agencies with certain profiles of wellness programming. Data were from a nationally representative sample of 1135 LEAs: 80.1% municipal, 18.6% county and 1.3% other agencies (state-level and Bureau of Indian Affairs LEAs). We found that many agencies (62%) offer no wellness programming. We also found that 23% have comprehensive wellness programming, and that another group of agencies specialize in specific wellness programming. About 14% of the agencies have a high probability of providing resilience coping skill education, mental health and/or substance use treatment services programming. About 1% of the agencies in the United States limit their programming to fitness and nutrition, indicating that fitness and nutrition programs are more likely to be offered in concert with other types of wellness programs. The analyses revealed that agencies offering broad program support are more likely to be large, municipal LEAs located in either the West, Midwest or Northeast (compared with the southern United States), and not experiencing a recent budget cut that impacted wellness programming.

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.

A latent class analysis of the co-occurrence of sexual violence, substance use, and mental health in youth

2019 ◽  
Vol 54 (12) ◽  
pp. 1938-1944 ◽  
Author(s):  
Jordan L. Nelon ◽  
Kris T. De Pedro ◽  
Tamika D. Gilreath ◽  
Megan S. Patterson ◽  
Caitlin B. Holden ◽  
...  
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Latent Class Analysis ◽  
Sexual Violence ◽  
Latent Class ◽  
Class Analysis

Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data

2021 ◽  
Author(s):  
Ashley N. Linden-Carmichael ◽  
Natalia Van Doren ◽  
Bethany C. Bray ◽  
Kristina M. Jackson ◽  
Stephanie T. Lanza
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Daily Diary ◽  
Class Analysis ◽  
Use Patterns ◽  
Diary Data ◽  
Daily Risk

scholarly journals Self-Reported Mental Health During the COVID-19 Pandemic and its Association with Alcohol and Cannabis Use: A Latent Class Analysis

2021 ◽  
Author(s):  
Nibene Habib Somé ◽  
Samantha Wells ◽  
Daniel Felsky ◽  
Hayley A. Hamilton ◽  
Shehzad Ali ◽  
...  
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Mental Health Problems ◽  
Cannabis Use ◽  
Class Analysis ◽  
Class Membership ◽  
Anxiety Depression

Abstract Background: Mental health problems and substance use co-morbidities during the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing these problems can directly inform mitigating strategies. We aimed to identify distinct groups of individuals (i.e., latent classes) based on patterns of self-reported mental health symptoms and investigate associations with alcohol and cannabis use.Methods: We used data from six successive waves of a web-based cross-sectional survey of adults aged 18 years and older living in Canada (6,021 participants). We applied latent class analysis to three domains of self-reported mental health: anxiety, depression, and loneliness. Logistic regression was used to characterize latent class membership, estimate the association of class membership with alcohol and cannabis use, and perform sex-based analyses.Results: We identified two distinct classes: 1) individuals with low scores on all three mental health indicators (no/low-symptoms) and 2) those reporting high scores (high-symptoms). Those at greater risk of being in the high-symptoms class were likely to be women (adjusted odds ratio (aOR) =1.34, 95%CI:1.18-1.52), people worried about getting COVID-19 (aOR=2.39, 95%CI:2.02-2.82), and those with post-secondary education (aOR=1.26, 95%CI:1.02-1.55). Asian ethnicity (aOR=0.78, 95%CI:0.62-0.97), married status (aOR=0.71, 95%CI:0.59-0.85), seniors (aOR=0.38, 95%CI:0.32-0.47), individuals in households with income higher than CAD$40,000: $40,000-$79,000 (aOR=0.73, 95%CI:0.60-0.90), $80,000-$119,000 (aOR=0.60, 95%CI:0.48-0.74) and $120,000+ (aOR=0.47, 95%CI:0.37-0.59) were at lower odds of being in the high-symptoms class. Individuals in the high-symptoms class were more likely to use cannabis at least once a week (aOR=2.25, 95%CI:1.90-2.67), drink alcohol heavily (aOR=1.69, 95%CI:1.47-1.95); and increase the use of cannabis (aOR=3.48, 95%CI:2.79-4.35) and alcohol (aOR=2.37, 95%CI:2.05-2.73) during the pandemic. Women in the high-symptoms class had higher odds of increasing alcohol use than men.Conclusions: We identified the determinants of experiencing high-symptoms of anxiety, depression, and loneliness, and found a significant association with alcohol and cannabis consumption. This suggests that initiatives and supports are needed to address mental health and substance use multi-morbidities, particularly regarding alcohol use in women.

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