scholarly journals Using Latent Class Analysis to Identify Health Lifestyle Profiles and Their Association with Suicidality among Adolescents in Benin

2021 ◽  
Vol 18 (16) ◽  
pp. 8602
Author(s):  
Fanny Hoogstoel ◽  
Lucresse Corine Fassinou ◽  
Sékou Samadoulougou ◽  
Céline Mahieu ◽  
Yves Coppieters ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Latent Class Analysis ◽  
Parental Support ◽  
Latent Class ◽  
Physical Violence ◽  
Prevalence Ratio ◽  
Health Risk Behaviors ◽  
Class Analysis ◽  
Health Lifestyle ◽  
Increased Risk

Youth suicidality is considerably prevalent in low- and middle-income countries, including Benin. Factors such as psychosocial distress, socio-environmental factors, and health risk behaviors are associated with suicidality. However, little is known about how these factors co-occur in these countries. An analysis of these factors taken together would help to identify the profiles most at risk and better target prevention policies. Our study aimed to identify profiles related to these factors and their association with suicidality among adolescents in Benin. Data from the 2016 Global School-Based Student Health Survey were used, and factors related to lifestyle (tobacco and alcohol consumption and physical activity), physical violence, parental support, and psychological distress were studied. Latent class analysis was used to identify the profiles, and a modified Poisson regression with generalized estimating equations, adjusted for sociodemographic characteristics, was performed to assess the association between these profiles and suicidality. The survey results show that globally, 13.8% of the adolescents (n = 2536) aged 11 to 18 had thought about suicide, 15.6% had planned suicide, and 15.6% had attempted suicide. Four profiles were identified: a low-risk group, one with psychological distress problems, a group with violence problems, and one with alcohol, tobacco, and violence problems. The risk of suicidality, in terms of ideation, planning, or attempting, was higher for adolescents in Profiles 2, 3, and 4 than those in Profile 1 (p < 0.05). Adolescents in Profile 2 were particularly affected by this increased risk (prevalence ratio (PR) for ideation = 1.13, 95% CI = 1.03–1.23; PR for planning = 1.12, 95% CI = 1.04–1.22; PR for attempting = 1.09, 95% CI = 1.01–1.17). This study highlights the typical profiles that may be linked with suicidality among adolescents in Benin. A holistic consideration of these factors could help in planning better preventive measures to reduce suicidality among adolescents in Benin.

scholarly journals A Latent Class Analysis of Health Lifestyles in Relation to Suicidality among Adolescents in Mauritius

2021 ◽  
Vol 18 (13) ◽  
pp. 6934
Author(s):  
Fanny Hoogstoel ◽  
Sékou Samadoulougou ◽  
Vincent Lorant ◽  
Fati Kirakoya-Samadoulougou
Keyword(s):  
Latent Class Analysis ◽  
Parental Support ◽  
Latent Class ◽  
Suicide Attempts ◽  
Prevalence Ratio ◽  
Class Analysis ◽  
Suicidal Thoughts ◽  
Health Lifestyles ◽  
School Based ◽  
High Prevalence

Suicidality, which includes suicidal thoughts, planning, and suicide attempts, results mainly from a combination of psychological, sociological, and environmental factors. Despite a high prevalence of suicidality among adolescents in Africa, only a few studies have considered these factors simultaneously. The objective of the study was to identify the prevalence of suicidality, to draw up profiles of concomitant risks, and to examine the associations between these profiles and suicidality in Mauritius. This study used data from the 2017 Mauritian Global School-based Student Health Survey including 3012 adolescents with a mean age of 14.9 ± 1.4 years. Factors related to lifestyle such as consumptions of alcohol and tobacco, physical activity, violence, parental support, anxiety, and loneliness were considered. A latent class analysis was performed to identify the profiles. Finally, a modified Poisson regression analysis with generalized estimating equations, adjusted with sociodemographic characteristics, was used to assess the association between these profiles and suicidality. Overall, more than one in ten adolescents had at least one of the suicidality behaviors. Three profiles were identified: 1 = “low risk group” (63.9%); 2 = “problems with violence” (15.2%); 3 = “problems with violence, alcohol, tobacco and psychological distress” (20.9%). Profiles 2 and 3 were mainly made up of males. Adolescents under 15 represented the majority of individuals in profile 2. Finally, the risk of suicidality was higher in adolescents belonging to profiles 2 and 3 compared to profile 1 for the three suicidality behaviors (profile 3: Prevalence ratio (PR) for suicidal thoughts = 1.26, 95% CI = 1.19–1.34; PR for planning = 1.23, 95% CI = 1.17–1.30; PR for attempt = 1.23, 95% CI = 1.17–1.29). This study highlights the high prevalence of suicidality and a list of concomitant risks, emphasizing this suicidality in Mauritian adolescents. Therefore, these results recommend focusing preventive efforts toward a simultaneous consideration of these factors.

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 Psychological distress among victimized women on probation and parole: A latent class analysis.

2015 ◽  
Vol 85 (4) ◽  
pp. 382-391 ◽  
Author(s):  
Seana Golder ◽  
Malitta Engstrom ◽  
Martin T. Hall ◽  
George E. Higgins ◽  
T. K. Logan
Keyword(s):  
Psychological Distress ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Probation And Parole

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 health lifestyles and health outcomes among Chinese older adults

2020 ◽  
pp. 1-26
Author(s):  
Li Zhang
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Functional Independence ◽  
Theory Approach ◽  
Class Analysis ◽  
Chinese Older Adults ◽  
Health Lifestyles ◽  
Health Lifestyle

Abstract Prior analyses have repeatedly documented the association between individual health behaviours and health outcomes. Nonetheless, few studies have taken a health lifestyle theory approach to examine how health lifestyle behaviours have shaped Chinese older adults’ health status. Using the most recent 2011–2012 data released by the Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese older adults aged 65–105. Four distinct classes representing health lifestyles emerged. Furthermore, the research found the way in which the four classes representing older adults’ health lifestyles can be predicted by the respondent's demographic and socio-economic characteristics. In addition, health lifestyles were found to be strongly associated with Chinese older adults’ health outcomes which were measured by self-rated health, functional independence, cognitive function and chronic diseases, even after controlling for demographic features as well as individual and parental socio-economic disadvantage. Findings supported the cumulative disadvantage theory in health. The research highlighted the importance of promoting health lifestyles to improve older adults’ health outcomes.

scholarly journals Profiles of Psychological Flexibility: A Latent Class Analysis of the Acceptance and Commitment Therapy Model

2018 ◽  
Vol 44 (3) ◽  
pp. 365-393 ◽  
Author(s):  
Ian Tyndall ◽  
Daniel Waldeck ◽  
Luca Pancani ◽  
Robert Whelan ◽  
Bryan Roche ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Latent Class Analysis ◽  
Acceptance And Commitment Therapy ◽  
Latent Class ◽  
Psychological Flexibility ◽  
Class Analysis ◽  
Commitment Therapy ◽  
Acceptance And Commitment ◽  
Therapy Model ◽  
Core Construct

There exists uncertainty for clinicians over how the separate subcomponent processes of psychological flexibility, a core construct of the Acceptance and Commitment Therapy model, interact and influence distress experienced. The present study ( N = 567) employed latent class analysis to (a) identify potential classes (i.e., subgroups) of psychological flexibility based on responses on measures of key subcomponent process and (b) examine whether such classes could reliably differentiate levels of self-reported psychological distress and positive and negative emotionality. We found three distinct classes: (a) High Psychological Flexibility, (b) Moderate Psychological Flexibility, and (c) Low Psychological Flexibility. Those in the Low Psychology Flexibility class reported highest levels of psychological distress, whereas those in the High Psychological Flexibility class reported lowest levels of psychological distress. This study provides a clearer view to clinicians of the profile of the broader spectrum of the psychological flexibility model to facilitate change in clients.

Schizotypal traits in adolescents: Links to family history of psychosis and psychological distress

2012 ◽  
Vol 28 (4) ◽  
pp. 247-253 ◽  
Author(s):  
M. Cella ◽  
M. Serra ◽  
A. Lai ◽  
O.J. Mason ◽  
D. Sisti ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Family History ◽  
Latent Class Analysis ◽  
Latent Class ◽  
General Health Questionnaire ◽  
Positive Association ◽  
Total Sample ◽  
Class Analysis ◽  
Item Endorsement ◽  
History Of

AbstractObjectiveStudies in the general population report that unusual subjective experiences are relatively common. Such experiences have been conceptualized either as extreme personality traits or as vulnerability markers for psychosis, and often grouped under the expression “schizotypal experiences”. This study investigates the heterogeneity of schizotypal traits using factor and latent class analysis.MethodsOne thousand and thirty-two adolescents were recruited for this study. Schizotypal experiences were assessed with the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE); psychological distress was assessed with the General Health Questionnaire (GHQ). Confirmatory Factorial Analysis (CFA) and Latent Class Analysis (LCA) were performed on the O-LIFE and on the association with the GHQ and demographic variables.ResultsCFA replicated the original 4-factor structure of the O-LIFE. Three latent classes (LC) of schizotypal features were identified: participants in LC1 (26% of the total sample) showed minimal level of item endorsement; LC2 accounted for 52% of the sample and showed overall higher item endorsement compared to LC1, especially for disorganization and positive signs of schizotypy, but not for negative affective items. LC3 (22%) showed an overall higher level of item endorsement across schizotypal dimensions, and positive association with psychological distress and family history of psychosis.DiscussionDifferent latent class of schizotypal features can be empirically defined in adolescent community samples. The most extreme class is defined not only by a profile of higher positive replies to the items, but also by anhedonia, high psychological distress, and family history of psychosis. These findings can inform prevention research in schizophrenia.

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 Multimorbidity patterns in low-middle and high income regions: a multiregion latent class analysis using ATHLOS harmonised cohorts

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e034441 ◽  
Author(s):  
Ivet Bayes-Marin ◽  
Albert Sanchez-Niubo ◽  
Laia Egea-Cortés ◽  
Hai Nguyen ◽  
Matthew Prina ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Protective Factor ◽  
Latent Class ◽  
Large Population ◽  
Population Based ◽  
High Income ◽  
Adult Health ◽  
Class Analysis ◽  
Ex Post ◽  
Increased Risk

ObjectivesOur aim was to determine clusters of non-communicable diseases (NCDs) in a very large, population-based sample of middle-aged and older adults from low- and middle-income (LMICs) and high-income (HICs) regions. Additionally, we explored the associations with several covariates.DesignThe total sample was 72 140 people aged 50+ years from three population-based studies (English Longitudinal Study of Ageing, Survey of Health, Ageing and Retirement in Europe Study and Study on Global Ageing and Adult Health) included in the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project and representing eight regions with LMICs and HICs. Variables were previously harmonised using an ex-post strategy. Eight NCDs were used in latent class analysis. Multinomial models were made to calculate associations with covariates. All the analyses were stratified by age (50–64 and 65+ years old).ResultsThree clusters were identified: ‘cardio-metabolic’ (8.93% in participants aged 50–64 years and 27.22% in those aged 65+ years), ‘respiratory-mental-articular’ (3.91% and 5.27%) and ‘healthy’ (87.16% and 67.51%). In the younger group, Russia presented the highest prevalence of the ‘cardio-metabolic’ group (18.8%) and England the ‘respiratory-mental-articular’ (5.1%). In the older group, Russia had the highest proportion of both classes (48.3% and 9%). Both the younger and older African participants presented the highest proportion of the ‘healthy’ class. Older age, being woman, widowed and with low levels of education and income were related to an increased risk of multimorbidity. Physical activity was a protective factor in both age groups and smoking a risk factor for the ‘respiratory-mental-articular’.ConclusionMultimorbidity is common worldwide, especially in HICs and Russia. Health policies in each country addressing coordination and support are needed to face the complexity of a pattern of growing multimorbidity.

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