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

Jebraeili, Hashem; Jafari, Zeynab; Feizi, Shyda

doi:10.22055/jacp.2021.36815.1185

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

https://doi.org/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

دهقانی، محسن، عاشوری، احمد، حبیبی عسکرآباد، مجتبی، و خطیبی، میرعلی. (1389). استانداردسازی و ویژگی‌های روان‌سنجی پرسش‌نامه شخصیت چند‌مرحله ای مینه‌سوتا (MMPI-2). روان‌شناسی، 14(3)، 318-299.

حبیبی مجتبی، دهقانی محسن، جبرئیلی هاشم، و جواهری‌پور، مهرداد. (1396الف). مقایسه نیمرخ‌های روان‌شناختی جمعیت ایرانی بر‌اساس معیارهای بالینی و روایی پرسش‌نامه شخصیت چند‌مرحله‌ای مینه‌سوتا. مجله پژوهش و سلامت، 7(6)، 1130-1137.

حبیبی، مجتبی، دهقانی، محسن، جبرئیلی، هاشم، و بهرامی‌منجمی، مانی. (1396ب). مقایسه پروفایل‌های روان‌شناختی افراد بر‌اساس مقیاس‌های MMPI-2. مجله پژوهش در علوم بهداشتی، 7(1)، 562-551.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5 ed.). Washington, DC: APA.

Bener, A., Abou-Saleh, M. T., Dafeeah, E. E., & Bhugra, D. (2015). The prevalence and burden of psychiatric disorders in primary health care visits in qatar: too little time? Journal of Family Medicine and Primary Care, 4(1), 89-95.

Ben-Porath, Y. S. (2012). Interpreting the MMPI-2-RF. Minneapolis, MN: Univ. Minn. Press.

Daljeet, K. N., Bremner, N. L., Giammarco, E. A., Meyer, J. P., & Paunonen, S. V. (2017). Taking a person-centered approach to personality: A latent-profile analysis of the HEXACO model of personality. Journal of Research in Personality, 70, 241-251.

Duan, W., & Wang, Y. (2018). Latent profile analysis of the three-dimensional model of character strengths to distinguish at-strengths and at-risk populations. Qual Life Res, 27(11), 2983-2990.

Ferguson, S. L. G., Moore, E. W., & Hull, D. M. (2019). Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers. International Journal of Behavioral Development, 44(5), 458–468.

Grant, R., Becnel, J. N., Giano, Z. D., Williams, A. L., & Martinez, D. (2019). A latent profile analysis of young adult lifestyle behaviors. Am J Health Behav, 43(6), 1148-1161.

Hathaway, S. R., & McKinley, J. C. (1940). A multiphasic personality schedule (Minnesota): I. Construction of the Schedule. The Journal of Psychology, 10(2), 249-254

Johnson, D. R., & Wu, J. (2002). An empirical test of crisis, social selection, and role explanations of the relationship between marital disruption and psychological distress: A pooled time-series analysis of four-wave panel data. Journal of Marriage and Family, 64(1), 211-224.

Lubin, B., Larsen, R. M., & Matarazzo, J. D. (1984). Patterns of psychological test usage in the United States: 1935–1982. American Psychologist, 39(4), 451-454.

Meyer, J. P., & Morin, A. J. S. (2016). A person-centered approach to commitment research: Theory, research, and methodology. Journal of Organizational Behavior, 37(4), 584-612.

Raitio, K., Kaunonen, M., & Aho, A. L. (2015). Evaluating a bereavement follow-up intervention for grieving mothers after the death of a child. Scand J Caring Sci, 29(3), 510-520.

Sellbom, M. (2019). The MMPI-2-restructured form (MMPI-2-RF): Assessment of personality and psychopathology in the twenty-first century. Annu Rev Clin Psychol, 15, 149-177.

Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., … & Silove, D. (2014). The global prevalence of common mental disorders: A systematic review and meta-analysis 1980-2013. International Journal of Epidemiology, 43(2), 476-493.

Sterba, S. K. (2013). Understanding linkages among mixture models. Multivariate Behavioral Research, 48(6), 775-815.

van der Heijden, P. T., Egger, J. I., & Derksen, J. J. (2008). Psychometric evaluation of the MMPI-2 restructured clinical scales in two dutch samples. J Pers Assess, 90(5), 456-464.

Clinical Psychology Achievements

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

References

References

Volume 6, Issue 1
June 2020
Pages 11-22

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

References

References

Volume 6, Issue 1June 2020Pages 11-22

Volume 6, Issue 1
June 2020
Pages 11-22