scholarly journals The trajectories of depressive symptoms expressed in early childhood differ between boys and girls

2018 ◽  
Keyword(s):  
Early Childhood ◽  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Washington University

A study by Diana Whalen and colleagues at Washington University has used latent class analysis (LCA) to identify and define the trajectories of latent classes of depressive symptoms in early childhood.

Examining Associations Between Race, Gender, Alcohol Use, School Performance, and Patterns of Bullying in the School Context: A Latent Class Analysis

2021 ◽  
pp. 088626052199912
Author(s):  
Valdemir Ferreira-Junior ◽  
Juliana Y. Valente ◽  
Zila M. Sanchez
Keyword(s):  
Alcohol Use ◽  
Latent Class Analysis ◽  
School Performance ◽  
Latent Class ◽  
School Context ◽  
Bullying Victimization ◽  
Latent Classes ◽  
Class Analysis ◽  
Seventh Grade ◽  
Sociodemographic Variables

Although many studies addressed bullying occurrence and its associations, they often use individual variables constructed from few items that probably are inadequate to evaluate bullying severity and type. We aimed to identify involvement patterns in bullying victimization and perpetration, and its association with alcohol use, school performance, and sociodemographic variables. Baseline assessment of a randomized controlled trial were used and a latent class analysis was conducted to identify bullying patterns among 1,742 fifth-grade and 2,316 seventh-grade students from 30 public schools in São Paulo, Brazil. Data were collected using an anonymous self-reported, audio-guided questionnaire completed by the participants on smartphones. Multinomial logistic regressions were performed to verify how covariant variables affected bullying latent classes. Both grades presented the same four latent classes: low bullying, moderate bullying victimization, high bullying victimization, and high bullying victimization and perpetration. Alcohol use was associated with all bullying classes in both grades, with odds ratio up to 5.36 (95% CI 3.05; 10.38) among fifth graders from the high bullying victimization and perpetration class. Poor school performance was also strongly associated with this class (aOR = 10.12, 95%CI = 4.19; 24.41). Black/brown 5th graders were 3.35 times more likely to fit into the high bullying victimization class (95% CI 1.34; 8.37). Lack of evidence for association of sociodemographic variables and bullying latent class among seventh-grade students was found. Bullying and alcohol use are highly harmful behaviors that must be prevented. However, prevention programs should consider how racial and gender issues are influencing the way students experience violence.

Prevalence, risk factors and multi-group latent class analysis of lifetime anxiety disorders comorbid depressive symptoms

2019 ◽  
Vol 243 ◽  
pp. 360-365 ◽  
Author(s):  
Hongguang Chen ◽  
Xiao Wang ◽  
Yueqin Huang ◽  
Guohua Li ◽  
Zhaorui Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Anxiety Disorders ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

Risk Factors Explaining Military Deaths From Suicide, 2008–2017: A Latent Class Analysis

2021 ◽  
pp. 0095327X2110469
Author(s):  
Scott D. Landes ◽  
Janet M. Wilmoth ◽  
Andrew S. London ◽  
Ann T. Landes
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Latent Class Analysis ◽  
Military Service ◽  
Latent Class ◽  
Service Providers ◽  
Service Members ◽  
Latent Classes ◽  
Class Analysis ◽  
Military Service Members

Military suicide prevention efforts would benefit from population-based research documenting patterns in risk factors among service members who die from suicide. We use latent class analysis to analyze patterns in identified risk factors among the population of 2660 active-duty military service members that the Department of Defense Suicide Event Report (DoDSER) system indicates died by suicide between 2008 and 2017. The largest of five empirically derived latent classes was primarily characterized by the dissolution of an intimate relationship in the past year. Relationship dissolution was common in the other four latent classes, but those classes were also characterized by job, administrative, or legal problems, or mental health factors. Distinct demographic and military-status differences were apparent across the latent classes. Results point to the need to increase awareness among mental health service providers and others that suicide among military service members often involves a constellation of potentially interrelated risk factors.

Profiles and characteristics of clinical subtypes of perinatal depressive symptoms: A latent class analysis

2019 ◽  
Vol 75 (11) ◽  
pp. 2753-2765 ◽  
Author(s):  
Ji‐Wei Sun ◽  
Dan‐Feng Cao ◽  
Jia‐Huan Li ◽  
Xuan Zhang ◽  
Ying Wang ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Perinatal Depressive Symptoms

scholarly journals Coping Patterns Among Primary Informal Dementia Caregivers in Singapore and Its Impact on Caregivers—Implications of a Latent Class Analysis

2020 ◽  
Author(s):  
Qi Yuan ◽  
Peizhi Wang ◽  
Tee Hng Tan ◽  
Fiona Devi ◽  
Daniel Poremski ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Coping Strategies ◽  
Latent Class ◽  
Personal Characteristics ◽  
Future Research ◽  
Class Analysis ◽  
Dementia Caregivers ◽  
Design And Methods ◽  
Coping Patterns

Abstract Background and Objectives Existing studies typically explore the factor structure of coping strategies among dementia caregivers. However, this approach overlooks the fact that caregivers often use different coping strategies simultaneously. This study aims to explore the coping patterns of primary informal dementia caregivers in Singapore, examine their significant correlates, and investigate whether different patterns would affect the depressive symptoms of caregivers. Research Design and Methods Two hundred eighty-one primary informal caregivers of persons with dementia (PWD) were assessed. Coping strategies were measured by the Brief Coping Orientation to Problem Experienced inventory. A latent class analysis was performed to explore caregivers’ coping patterns, followed by logistic regressions to identify the significant correlates and the relationships between coping patterns and caregiver depression. Results The latent class analysis suggested a three-class solution that was featured by the frequency and variety of coping strategies used by caregivers—high coping (36.3%), medium coping (37.7%), and low coping (26.0%). Factors influencing the coping patterns of our sample were mainly related to caregivers’ individual resources such as personal characteristics and caregiving stressors like PWD’s problematic behaviors and caregiving burden. Compared to caregivers in the low coping group, those in the medium coping group had significantly higher risks of potential depression. Discussion and Implications The current study confirmed that there are distinct coping patterns among primary informal dementia caregivers, and caregivers with the low coping pattern had fewer depressive symptoms. Future research is needed to explore if coping patterns from our sample are generalizable to dementia caregivers elsewhere.

Competence Differences in Literacy, Numeracy, and Problem Solving According to Sex

2019 ◽  
Vol 69 (2) ◽  
pp. 101-119 ◽  
Author(s):  
Seher Yalcin
Keyword(s):  
Problem Solving ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Country Level ◽  
Successful Group ◽  
Study Population ◽  
Multilevel Latent Class Analysis ◽  
International Assessment

This study aimed to determine individual- and country-level latent classes in literacy, numeracy and problem-solving competencies of individuals participating in the Programme for the International Assessment of Adult Competencies 2015. Specifically, it sought to distinguish these classes in relation to individuals’ sex and to identify the state of prediction of the determined latent classes by each person’s level of education. The study population consisted of 116,301 adults aged 16 to 65 years in 20 countries. Multilevel latent class analysis was conducted to consider the nested data structure and determine the number of latent classes. According to the results of the multilevel latent class analysis, Turkey and Chile were in the low achievement group in all skills, while Japan was in the most successful group. Moreover, the results revealed that sex and education level had a considerable influence on certain competence levels.

scholarly journals Trajectories of Depressive Symptoms among Multicultural Adolescents in Korea: Longitudinal Analysis Using Latent Class Growth Model

2020 ◽  
Vol 17 (21) ◽  
pp. 8217
Author(s):  
Min Kyung Song ◽  
Ju Young Yoon ◽  
Eunjoo Kim
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Predictive Factors ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Panel Study ◽  
Class Analysis ◽  
Early Screening ◽  
Care Plans ◽  
Latent Class Growth

The purpose of this study was to investigate the trajectory of depressive symptoms in multicultural adolescents using longitudinal data, and to identify predictive factors related to depressive symptoms of multicultural adolescents using latent class analysis. We used six time-point data derived from the 2012 to 2017 Multicultural Adolescents Panel Study (MAPS). Latent growth curve modeling was used to assess the overall features of depressive symptom trajectories in multicultural adolescents, and latent class growth modeling was used to determine the number and shape of trajectories. We applied multinomial logistic regression analysis to each class to explore predictive factors. We found that the overall slope of depressive symptoms in multicultural adolescents increased. Latent class analysis demonstrated three classes: (1) high-increasing class (i.e., high intercept, significantly increasing slope), (2) moderate-increasing class (i.e., moderate intercept, significantly increasing slope), and (3) low-stable class (i.e., low intercept, no significant slope). In particular, we found that the difference in the initial intercept of depressive symptoms determined the subsequent trajectory. There is a need for early screening for depressive symptoms in multicultural adolescents and preparing individual mental health care plans.

Course of Depressive Symptoms After Myocardial Infarction and Cardiac Prognosis: A Latent Class Analysis

2006 ◽  
Vol 68 (5) ◽  
pp. 662-668 ◽  
Author(s):  
Kirsten I. Kaptein ◽  
Peter de Jonge ◽  
Rob H. S. van den Brink ◽  
Jakob Korf
Keyword(s):  
Myocardial Infarction ◽  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

The course of depressive symptoms in unipolar depressive disorder during electroconvulsive therapy: A latent class analysis

2010 ◽  
Vol 124 (1-2) ◽  
pp. 141-147 ◽  
Author(s):  
S. Cinar ◽  
R.C. Oude Voshaar ◽  
J.G.E. Janzing ◽  
T.K. Birkenhäger ◽  
J.K. Buitelaar ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Latent Class Analysis ◽  
Electroconvulsive Therapy ◽  
Latent Class ◽  
Class Analysis ◽  
Unipolar Depressive Disorder

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.

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