scholarly journals A Latent Class Analysis of Psychopathic Traits in Civil Psychiatric Patients: The Role of Criminal Behaviour, Violence, and Gender

2015 ◽  
Vol 54 (3) ◽  
pp. 237-249 ◽  
Author(s):  
KATIE DHINGRA ◽  
DANIEL BODUSZEK ◽  
SUSANNA KOLA-PALMER
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Psychiatric Patients ◽  
Psychopathic Traits ◽  
Criminal Behaviour ◽  
Class Analysis ◽  
And Gender

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.

scholarly journals Exploring symptoms of somatization in chronic widespread pain: latent class analysis and the role of personality

2017 ◽  
Vol Volume 10 ◽  
pp. 1733-1740 ◽  
Author(s):  
Andrea Burri ◽  
Peter Hilpert ◽  
Peter McNair ◽  
Frances Williams
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Chronic Widespread Pain ◽  
Widespread Pain ◽  
Class Analysis

scholarly journals Bourdieu in de buurt : Sociale klassendebat en de klassenstructuur van Rotterdam

Sociologie ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 117-147
Author(s):  
Gijs Custers ◽  
Godfried Engbersen
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Research Approach ◽  
Class Analysis ◽  
Social And Cultural Capital ◽  
New Class ◽  
Social Mix ◽  
The Social ◽  
New Research

Abstract Studies by Savage et al. (2013) and Vrooman, Gijsberts and Boelhouwer (2014) introduce new class typologies that combine Bourdieu’s work with latent class analysis. This paper identifies this new research approach as Bourdieusian latent class analysis. We discuss the role of these studies within the social class debate and we review the merits and limitations of this approach. In addition, we show how the class structure of Rotterdam can be empirically established by studying the distribution of economic, social and cultural capital. We use the Neighbourhood Profile data (N = 14,040; 71 neighbourhoods) to develop a class typology that includes eight social groups. This class typology complements conventional indicators of neighbourhood socioeconomic status and can be used to study ‘social mix’ and gentrification.

Two subtypes of symptomatic joint hypermobility: a descriptive study using latent class analysis

2018 ◽  
Vol 104 (11) ◽  
pp. 1099-1101 ◽  
Author(s):  
Francesco Di Mattia ◽  
Robyn Fary ◽  
Kevin J Murray ◽  
Erin Howie ◽  
Anne Smith ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Musculoskeletal Pain ◽  
Latent Class ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Joint Hypermobility ◽  
Class Analysis ◽  
Motor Delay ◽  
Indicator Variables ◽  
And Gender

ObjectiveTo investigate a cohort of children with symptomatic joint hypermobility.MethodsCase notes for 318 children with joint hypermobility attending a rheumatology clinic were reviewed for clinical presentation, medical history, psychosocial factors and physical examination findings. Seven key variables were extracted and used as indicator variables in a latent class analysis to estimate the presence and number of subgroups of children with symptomatic joint hypermobility.ResultsTwo subgroups with differing clinical presentations were identified accounting for age and gender: an ‘athletic-persistent’ class (62%) characterised by higher probabilities for recurrent and chronic musculoskeletal pain, and less severe hypermobility; and a ‘systemic-profound’ class (38%) characterised by generalised hypermobility, recurrent musculoskeletal pain, gastro-oesophageal reflux and motor delay.ConclusionFindings suggest the presence of two distinct presentations of children with hypermobility. This finding may be important for clinical decision-making and management of this group of children.

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