Latent class analysis of drinking behaviors and predictors of latent class membership among college students in the Republic of Korea

2019 ◽  
Vol 25 (3) ◽  
pp. 336-342
Author(s):  
Haein Lee ◽  
Sunhee Park
Keyword(s):  
College Students ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Republic Of Korea ◽  
Class Analysis ◽  
Class Membership ◽  
Drinking Behaviors ◽  
The Republic

scholarly journals Eating behaviour, physical activity, TV exposure and sleeping habits in five year olds: a latent class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Molly Mattsson ◽  
Deirdre M. Murray ◽  
Mairead Kiely ◽  
Fergus P. McCarthy ◽  
Elaine McCarthy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Eating Behaviour ◽  
Overweight And Obesity ◽  
Class Analysis ◽  
Class Membership ◽  
Active Play ◽  
Food Avoidance ◽  
Cluster Membership

Abstract Background Diet, physical activity, sedentary behaviours, and sleep time are considered major contributory factors of the increased prevalence of childhood overweight and obesity. The aims of this study were to (1) identify behavioural clusters of 5 year old children based on lifestyle behaviours, (2) explore potential determinants of class membership, and (3) to determine if class membership was associated with body measure outcomes at 5 years of age. Methods Data on eating behaviour, engagement in active play, TV watching, and sleep duration in 1229 5 year old children from the Cork BASELINE birth cohort study was obtained through in-person interviews with parent. Latent class analysis was used to identify behavioural clusters. Potential determinants of cluster membership were investigated using multinomial logistic regression. Associations between the identified classes and cardio metabolic body measures were examined using multivariate logistic and linear regression, with cluster membership used as the independent variable. Results 51% of children belonged to a normative class, while 28% of children were in a class characterised by high scores on food avoidance scales in combination with low enjoyment of food, and 20% experienced high scores on the food approach scales. Children in both these classes had lower conditional probabilities of engaging in active play for at least 1 hour per day and sleeping for a minimum of 10 h, and higher probability of watching TV for 2 hours or more, compared to the normative class. Low socioeconomic index (SEI) and no breastfeeding at 2 months were found to be associated with membership of the class associated with high scores on the food avoidance scale, while lower maternal education was associated with the class defined by high food approach scores. Children in the class with high scores on the food approach scales had higher fat mass index (FMI), lean mass index (LMI), and waist-to-height ratio (WtHR) compared to the normative class, and were at greater risk of overweight and obesity. Conclusion Findings suggest that eating behaviour appeared to influence overweight and obesity risk to a greater degree than activity levels at 5 years old. Further research of how potentially obesogenic behaviours in early life track over time and influence adiposity and other cardio metabolic outcomes is crucial to inform the timing of interventions.

scholarly journals Latent Class Analysis of Brain Injury Symptomatology among College Students

2017 ◽  
Vol 04 (01) ◽  
pp. e14-e22 ◽  
Author(s):  
Karen Hux ◽  
Jessica Brown ◽  
Matthew Lambert
Keyword(s):  
College Students ◽  
Brain Injury ◽  
Latent Class Analysis ◽  
General Health ◽  
Latent Class ◽  
Class Analysis ◽  
Grade Point ◽  
Significant Difference ◽  
Mild Brain Injury ◽  
Mean Equality

Background Incidents potentially causing mild brain injury (BI) are common, and most people recover rapidly; however, a subset experiences long-lasting challenges. Objective This study used latent class analysis to identify a subset of college students presenting chronic symptomatology consistent with a mild BI diagnosis and pseudo-class mean equality tests to examine relations between latent classes and BI event and academic outcome variables. Methods Participants were 118/423 undergraduates self-reporting possible mild BIs through a survey about general health, daily habits, academic performance, and potential BI events. Twenty-four cognitive, physiological, or socio-emotional sequelae served to identify symptomatology profiles. Results A three-class model including 11% with high symptomatology, 49% with moderate symptomatology, and 40% with negligible symptomatology provided excellent fit and entropy. Symptoms best separating high and moderate classes were memory, thinking speed, new learning, and attention problems. Mean equality tests revealed no significant difference in number of BI events across classes, but high symptomatology respondents were significantly less likely to lose consciousness and significantly more likely to have lower grade point averages and to have failed courses than moderate symptomatology respondents. Discussion Cognitive problems are paramount in distinguishing college students with chronic high symptomatology following BI from those with moderate and negligible symptomatology. Because high symptomatology class individuals differ academically from their counterparts, a functional consequence of mild BI appears to exist. Conclusion About 1 in 10 undergraduate students self-reporting BI events experiences chronic symptomatology affecting general health and academic achievement. Because they may benefit from supportive services, accurate identification is critical.

scholarly journals Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abbas Abbasi-Ghahramanloo ◽  
Mohammadkarim Bahadori ◽  
Esfandiar Azad ◽  
Nooredin Dopeykar ◽  
Parisa Mahdizadeh ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Mental Disorders ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Adult Population ◽  
Class Analysis ◽  
Class Membership ◽  
Anthropometric Measures ◽  
Military Unit

Abstract Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

The underlying characteristics of sleep behavior and its relationship to sleep-related cognitions: a latent class analysis of college students in Wuhu city, China

2019 ◽  
Vol 25 (7) ◽  
pp. 887-897
Author(s):  
Jun Zhou ◽  
Lai-Run Jin ◽  
Meng-Jun Tao ◽  
Hui Peng ◽  
Shu-Shu Ding ◽  
...  
Keyword(s):  
College Students ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Sleep Behavior

scholarly journals Self-Injurious Thoughts and Behaviors Among College Students: A Latent Class Analysis

2020 ◽  
pp. 1-20 ◽  
Author(s):  
Marisa E. Marraccini ◽  
Leslie A. Brick ◽  
J. Conor O’Neill ◽  
Lisa L. Weyandt ◽  
Ashley L. Buchanan
Keyword(s):  
College Students ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
And Behaviors

Experienced harms from substance use among college students: A latent class analysis

2019 ◽  
Vol 29 (7) ◽  
pp. 937-953
Author(s):  
Meri Stiles ◽  
Christopher Rice
Keyword(s):  
College Students ◽  
Substance Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

scholarly journals Latent Class Analysis of DSM-5 Alcohol Use Disorder Criteria Among Heavy-Drinking College Students

2015 ◽  
Vol 57 ◽  
pp. 81-88 ◽  
Author(s):  
Dipali Venkataraman Rinker ◽  
Clayton Neighbors
Keyword(s):  
College Students ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Alcohol Use Disorder ◽  
Latent Class ◽  
Heavy Drinking ◽  
Class Analysis ◽  
Dsm 5
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