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Analyzing the Latent Profile of Patterns of Mental Disorders in a Non-Clinical Population

Document Type : Original Article

Authors

1 Assistant Professor, Department of Psychology, School of Social and Educational Sciences, Razi University, Kermanshah, Iran

2 MA Student of General Psychology, School of Social and Educational Sciences, Razi University, Kermanshah, Iran

10.22055/jacp.2021.36815.1185

Abstract

Due to the importance of screening and identifying individuals at risk for mental disorders using new methods, the present study was conducted to analyze the latent profile of patterns of distribution of mental disorders based on the short form of the Minnesota Multidimensional Personality Questionnaire (MMPI). In a cross-sectional study, 380 people from the non-clinical adult population of Kermanshah were selected by convenience sampling method and evaluated using the short form of MMPI. Data were analyzed based on latent profile analysis, Pearson correlation, Chi-square, Mann-Whitney U, Kruskal-Wallis, and one-way analysis of variance tests using SPSS and Mplus software. Latent profile analysis showed that a model with three profiles has the best fit with the data. Of these three profiles, the first profile belonged to those who had good mental health. The second profile belonged to those who were in average mental health and the third profile belonged to those who suffered from mental disorders. Belonging to the first profile was associated with higher age compared to the second profile (F=3.14, P<0.05) and higher education compared to the third profile (K.W.=9.06, P<0.05). The results of the present study showed that by using the latent profile analysis method, it is easy to identify patterns of mental disorders in any society, and this method can be effective in providing appropriate intervention for each group of people.
 

Keywords

References
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Clinical Psychology Achievements
Volume 6, Issue 1
June 2020
Pages 11-22
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