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 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.

Profiles of Antisocial Behavior in School-Based and At-Risk Adolescents in Singapore: A Latent Class Analysis

2019 ◽  
Vol 51 (4) ◽  
pp. 585-596
Author(s):  
Rebecca P. Ang ◽  
Xiang Li ◽  
Vivien S. Huan ◽  
Gregory Arief D. Liem ◽  
Trivina Kang ◽  
...  
Keyword(s):  
At Risk ◽  
Latent Class Analysis ◽  
Antisocial Behavior ◽  
Latent Class ◽  
Class Analysis ◽  
School Based ◽  
At Risk Adolescents

scholarly journals Lifestyle Clusters and Cardiometabolic Risks in Adolescents: A Chinese School-Based Study Using a Latent Class Analysis Approach

2021 ◽  
Vol 9 ◽  
Author(s):  
Weiying Zhao ◽  
Danyan Su ◽  
Luxia Mo ◽  
Cheng Chen ◽  
Bingbing Ye ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Healthy Lifestyle ◽  
Class Analysis ◽  
Lifestyle Behaviors ◽  
School Based ◽  
Significant Difference ◽  
Cardiometabolic Risks ◽  
Lifestyle Pattern

Background: Unhealthy dietary and lifestyle behaviors are associated with a higher prevalence of non-communicable chronic diseases and higher mortality in adults. However, there remains some uncertainty about the magnitude of the associations between lifestyle behaviors and cardiovascular factors in adolescents.Methods: We conducted a school-based cross-sectional study of 895 Chinese adolescents aged 15–19 years. They participated in a questionnaire survey, physical examination, and blood sample collection. Latent class analysis (LCA) was used to identify heterogeneous subgroups of lifestyle behaviors. A set of 12 latent class indicators, which reflected lifestyle behaviors including dietary habits, physical activity, sleep duration, screen time, and pressure perception, were included in the analysis. Logistic regression analysis was performed to determine whether the derived classes were related to a cardiometabolic risk.Results: In total, 13.7 and 5.6% of the participants were overweight and obese, respectively, and 8.4 and 14.1% reported having pre-hypertension and hypertension, respectively. A two-class model provided the best fit with a healthy lifestyle pattern (65.8%) and a sub-healthy lifestyle pattern (34.2%). There were more female participants with a healthy lifestyle (56.2 vs. 43.8%), whereas there were more males with a sub-healthy lifestyle (45.4 vs. 54.6%), (all P = 0.002). Increased risk of cardiometabolic abnormality (BMI categories, blood pressure and lipids) was not significant across lifestyle patterns, except for waist circumference (70.5 vs 69.1 cm, P = 0.044). There was no significant difference in physical activity and intake of fruit and vegetable between the two patterns.Conclusion: Primary prevention based on lifestyle modification should target patterns of behaviors at high risk in adolescents. Due to the complex effect of lifestyle clusters on cardiometabolic risks, well-designed and prospective studies in adolescents are needed in the future.

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.

A latent class analysis of psychotic symptoms in the general population

2017 ◽  
Vol 52 (6) ◽  
pp. 573-584 ◽  
Author(s):  
Baptiste Pignon ◽  
Hugo Peyre ◽  
Andrei Szöke ◽  
Pierre A Geoffroy ◽  
Benjamin Rolland ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Mental Health Treatment ◽  
Latent Class ◽  
Psychotic Disorders ◽  
Social Deprivation ◽  
Psychotic Symptoms ◽  
Class Analysis ◽  
Clinical Correlates ◽  
High Prevalence

Objective: Individuals with psychotic symptoms may actually correspond to various subgroups, characterized by different patterns of psychotic symptoms as well as specific sociodemographic and clinical correlates. We aimed to identify groups of individuals from the general population with specific patterns of psychotic symptoms. Methods: In a 38,694-subject survey, a latent class analysis was performed to identify subgroups based on the distribution of seven psychotic symptoms taken from the Mini International Neuropsychiatric Interview. The different classes were subsequently compared according to sociodemographic and clinical correlates. Results: The best fit was obtained with a four-class solution, including the following: (1) a class with a low prevalence of all psychotic symptoms (‘LOW’, 85.9%); (2) a class with a high prevalence of all psychotic symptoms (‘HAL + DEL’, 1.7%); and classes with a high prevalence of (3) hallucinations (‘HAL’, 4.5%) or (4) delusions (‘DEL’, 7.9%). The HAL + DEL class displayed higher rates of history of trauma, social deprivation and migrant status, while the HAL and DEL classes displayed intermediate rates between HAL + DEL and LOW. HAL + DEL displayed the highest rates of psychotic and non-psychotic disorders and the use of mental health treatment, while HAL and DEL displayed intermediate rates of these disorders between HAL + DEL and LOW. In comparison to the HAL class, psychotic and substance use disorders were more frequent in the DEL class, while anxiety and mood disorders were less frequent. Conclusion: These findings support the hypothesis of a continuum model relating the level of psychotic symptoms to the level of global psychopathology.

scholarly journals Substance Use and Chemsex in MSM - A Latent Class Analysis

2021 ◽  
pp. 002204262110405
Author(s):  
Anne Deborah Scholz-Hehn ◽  
Sascha Milin ◽  
Bernd Schulte ◽  
Jens Reimer ◽  
Sven Buth ◽  
...  
Keyword(s):  
Substance Use ◽  
Latent Class Analysis ◽  
Online Survey ◽  
Latent Class ◽  
Suicide Attempts ◽  
Class Analysis ◽  
Hiv Seroconversion ◽  
Hiv Serostatus ◽  
Sex With Men ◽  
Stis And Hiv

Engagement in “chemsex” among men who have sex with men is associated with higher rates of STIs and HIV seroconversion as well as an increased mental health burden. MSM were recruited for an anonymous online survey. The survey included questions of substance use, consumption motives, sexual risk behavior, HIV serostatus, and psychological characteristics. A latent class analysis was used to identify subgroups based on the consumed substances. 597 MSM answered the questionnaire. The latent class analysis revealed four different clusters. Most men described the use of amyl nitrite and cannabis ( n = 370). One cluster consumed mainly MDMA, cocaine, and amphetamine ( n = 106) and another cluster used mainly chemsex-related drugs ( n = 43). A fourth cluster reported a range of consumed substances ( n = 78). This cluster reported higher rates of suicide attempts, STIs, and risk behaviors. Substances typically related to chemsex were consumed in a sexualized context to a relevant extent.

scholarly journals Latent Class Analysis in Depression, Including Clinical and Functional Variables: Evidence of a Complex Depressive Subtype in Primary Care in Chile

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Verónica Vitriol ◽  
Alfredo Cancino ◽  
Carlos Serrano ◽  
Soledad Ballesteros ◽  
Marcela Ormazábal ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Partner Violence ◽  
Latent Class ◽  
Rating Scale ◽  
Suicide Attempts ◽  
Life Experiences ◽  
Latent Class Models ◽  
Class Analysis ◽  
Multinomial Regression ◽  
Depressed Patients

Objective. To establish differentiated depressive subtypes using a latent class analysis (LCA), including clinical and functional indicators in a sample of depressed patients consulted in Chilean Primary Health Care. Methods. A LCA was performed on a sample of 297 depressed patients consulted in Chilean PHC. The Mini International Neuropsychiatric Interview, the Hamilton Depression Rating Scale, the Outcome Questionnaire -social role, and interpersonal subscales were as instruments. A regression analysis of the different subtypes with sociodemographic and adverse life experiences was performed. Results. In a sample characterized by 87.5% of women, two, three, and four latent class models were obtained. The three-class model likely represents the best clinical implications. In this model, the classes were labeled: “complex depression” (CD) (58% of the sample), “recurrent depression” (RD) (34%), and “single depression episode” (SD) (8%). Members of CD showed a higher probability of history of suicide attempts, interpersonal, and social dysfunction. Psychiatric comorbidities differentiated the RD from SD. According to a multinomial regression model, childhood trauma experiences, recent stressful life experiences, and intimate partner violence events were associated with the CD class ( p < 0.01 ). Limitations. The vast majority of participants were females from Chile and the sample studied was not random. So, the results may not necessarily represent outpatient clinics. Conclusions. This study can provide additional evidence that depression, specifically in female gender, could be better understood as a complex heterogeneous disorder when clinical and functional indicators are studied. Furthermore, adverse life experiences starting in childhood could lead to a differentiated complex depressive subtype.

scholarly journals Health lifestyles and Chinese oldest-old’s subjective well-being—evidence from a latent class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li Zhang ◽  
Xiangyang Bi ◽  
Zhihong Ding
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Healthy Lifestyle ◽  
Well Being ◽  
Class Analysis ◽  
Lifestyle Behaviors ◽  
Subjective Well Being ◽  
Health Lifestyles ◽  
Healthy Lifestyle Behaviors

Abstract Background Previous research on the associations between lifestyle behaviors and health has largely focused on morbidity, mortality and disease prevention. More attention should be paid to examining relationships between lifestyle behaviors and positive health outcomes such as well-being. The aim of the study was to classify Chinese oldest-old’s health lifestyles and evaluate the manner in which health lifestyles have impacted Chinese oldest-old’s subjective well-being. Methods Analyzing the 2014 Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese oldest-old aged 85 to 105. Ordinary Least Square (OLS) regression models were used to assess the effects of health lifestyles on Chinese oldest-old’s subjective well-being, adjusting for socio-demographic characteristics. Results Four distinct classes representing health lifestyles emerged. Health lifestyles were found to be strongly associated with Chinese oldest-old’s subjective well-being, even after controlling for demographic features as well as individual and parental socioeconomic disadvantage. Findings showed that healthy lifestyle behaviors stimulated Chinese oldest-old’s positive feelings and led to better evaluative subjective well-being. In contrast, less healthy lifestyle behaviors can be a predictor of negative feelings. Conclusions The regression results highlighted the importance of integrating health lifestyle choices in promoting oldest-old’s psychological well-being. Elders can tackle healthier lifestyle behaviors in their daily lives to reduce the risk of mental health problems. Practicing healthy lifestyles should be integrated in programs for mental health promotion.

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