تحلیل نیمرخ نهفته صفات تکانشگری و ارتباط آن با افسردگی، اضطراب، تنیدگی، پشیمانی و عملکرد تحصیلی دانشجویان
محورهای موضوعی : روانشناسی تربیتی
1 - استادیار، گروه روانشناسی، دانشکده علوم اجتماعی و تربیتی، دانشگاه رازی، کرمانشاه، ایران
کلید واژه: اضطراب, افسردگی, تنیدگی, تکانشگری, پشیمانی, تحلیل نیمرخ نهفته,
چکیده مقاله :
با توجه به ماهیت چندبعدی سازه تکانشگری و ارتباطات متفاوتی که این ابعاد میتوانند با پریشانیهای هیجانی و عملکرد زندگی واقعی داشته باشند، پژوهش حاضر با هدف تحلیل نیمرخ نهفته صفات تکانشگری و ارتباط آن با افسردگی، اضطراب، تنیدگی، پشیمانی و عملکرد تحصیلی دانشجویان انجام شد. در یک پژوهش تحلیلی- مقطعی از دانشگاههای شهر کرمانشاه 400 دانشجو به شیوه نمونهگیری در دسترس انتخاب و با استفاده از فرم کوتاه مقیاس رفتار تکانشی، مقیاس افسردگی، اضطراب و تنیدگی و پرسشنامه تصمیمگیری مبتنی بر پشیمانی مورد ارزیابی قرار گرفتند. دادهها بر مبنای تحلیل نیمرخ نهفته، آزمون خی دو و تحلیل واریانس و با استفاده از نرمافزارهای SPSS و Mplus مورد تحلیل قرار گرفت. تحلیل نیمرخ نهفته صفات تکانشگری به استخراج سه گروه با نیمرخهای متفاوت (تکانشگری پایین، هدفمندی/ وظیفهشناسی پایین و فوریت بالا) منجر شد. عضویت در هر گروه با نمره متفاوت در افسردگی (01/0>P، 37/17=F)، اضطراب (01/0>P، 02/33=F)، تنیدگی (01/0>P، 02/30=F)، پشیمانی (01/0>P، 83/37=F) و عملکرد تحصیلی (01/0>P، 92/9=F) همراه بود. قرار داشتن در هر نیمرخ تکانشگری با میزان متفاوتی از پریشانی هیجانی و عملکرد تحصیلی همراه است و از این گروهبندی میتوان برای ارائه مداخلاتی متناسب برای کمک به هر گروه استفاده کرد.
Given the multidimensional nature of the impulsivity construct and various possible relationships of these dimensions with emotional distresses and real-life performance, the present study aimed to analyze the latent profile of the impulsivity traits and its relationship with depression, anxiety, stress, regret, and academic performance of students. In a cross-sectional research, 400 students were selected from the universities of Kermanshah city by convenient sampling method, and evaluated using the short form of UPPS-P impulsive behavior scale, depression, anxiety, and stress scale and the regret based decision making questionnaire. Data were analyzed based on latent profile analysis, chi-square test and variance analysis using SPSS and Mplus software. Latent profile analysis of the impulsivity traits led to the extraction of three groups with different profiles (low impulsive, low purposefulness/conscientiousness and high urgency). Membership in each group was associated with different scores in depression (F=17.37, P<0.01), anxiety (F=33.02, P<0.01), stress (F=30.02, P<0.01), regret (F=37.83, P<0.01) and academic performance (F=9.92, P<0.01). Be placed in each impulsivity profile is associated with different levels of emotional distress and academic performance, and this grouping can be used to provide tailored interventions to help each group
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Berg, J. M., Latzman, R. D., Bliwise, N. G., & Lilienfeld, S. O. (2015). Parsing the heterogeneity of impulsivity: A meta-analytic review of the behavioral implications of the UPPS for psychopathology. Psychol Assess, 27(4): 1129-1146. https://doi.org/10.1037/pas0000111
Billieux, J., Rochat, L., Ceschi, G., Carré, A., Offerlin-Meyer, I., Defeldre, A. C., Khazaal, Y., Besche-Richard, C., & Van Der Linden, M. (2012). Validation of a short French version of the UPPS-P Impulsive Behavior Scale. Comprehensive Psychiatry, 53(5): 609-615. https://doi.org/10.1016/j.comppsych.2011.09.001
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Bteich, G., Berbiche, D., & Khazaal, Y. (2017). Validation of the short Arabic UPPS-P Impulsive Behavior Scale. BMC Psychiatry, 17(1): 244.
https://doi.org/10.1186/s12888-017-1407-y
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https://doi.org/10.1016/S1575-0973(12)70048-X
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https://doi.org/https://doi.org/10.1016/j.jrp.2017.08.003
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_||_Alguacil, L. F., & González-Martín, C. (2015). Target identification and validation in brain reward dysfunction. Drug Discovery Today, 20(3): 347-352.
https://doi.org/http://dx.doi.org/10.1016/j.drudis.2014.10.014
Altan-Atalay, A., & Zeytun, D. (2020). The Association of Negative Urgency with Psychological Distress: Moderating Role of Proactive Coping Strategies. Journal Psychol, 1-12. https://doi.org/10.1080/00223980.2020.1784824
Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychol Assess, 10(2): 176-181. https://doi.org/10.1037/1040-3590.10.2.176
Berg, J. M., Latzman, R. D., Bliwise, N. G., & Lilienfeld, S. O. (2015). Parsing the heterogeneity of impulsivity: A meta-analytic review of the behavioral implications of the UPPS for psychopathology. Psychol Assess, 27(4): 1129-1146. https://doi.org/10.1037/pas0000111
Billieux, J., Rochat, L., Ceschi, G., Carré, A., Offerlin-Meyer, I., Defeldre, A. C., Khazaal, Y., Besche-Richard, C., & Van Der Linden, M. (2012). Validation of a short French version of the UPPS-P Impulsive Behavior Scale. Comprehensive Psychiatry, 53(5): 609-615. https://doi.org/10.1016/j.comppsych.2011.09.001
Bo, R., Billieux, J., & Landro, N. I. (2016). Which facets of impulsivity predict binge drinking? Addictive Behaviors Reports, 3, 43-47.
https://doi.org/10.1016/j.abrep.2016.03.001
Bteich, G., Berbiche, D., & Khazaal, Y. (2017). Validation of the short Arabic UPPS-P Impulsive Behavior Scale. BMC Psychiatry, 17(1): 244.
https://doi.org/10.1186/s12888-017-1407-y
Cándido, A., Orduña, E., Perales, J. C., Verdejo-García, A., & Billieux, J. (2012). Validation of a short Spanish version of the UPPS-P impulsive behavior scale. Trastornos Adictivos, 14(3): 73-78.
https://doi.org/10.1016/S1575-0973(12)70048-X
Casey, B. J., & Jones, R. M. (2010). Neurobiology of the adolescent brain and behavior: implications for substance use disorders. J Am Acad Child Adolesc Psychiatry, 49(12): 1189-1285. https://doi.org/10.1016/j.jaac.2010.08.017
Cloninger, C. R., Svrakic, D. M., & Przybeck, T. R. (1993). A psychobiological model of temperament and character. Arch Gen Psychiatry, 50(12): 975-990.
Cyders, M. A., Littlefield, A. K., Coffey, S., & Karyadi, K. A. (2014). Examination of a short English version of the UPPS-P Impulsive Behavior Scale. Addict Behav, 39(9): 1372-1376. https://doi.org/10.1016/j.addbeh.2014.02.013
Cyders, M. A., Smith, G. T., Spillane, N. S., Fischer, S., Annus, A. M., & Peterson, C. (2007). Integration of impulsivity and positive mood to predict risky behavior: development and validation of a measure of positive urgency. Psychol Assess, 19(1): 107-118. https://doi.org/10.1037/1040-3590.19.1.107
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.
https://doi.org/https://doi.org/10.1016/j.jrp.2017.08.003
Del Carlo, A., Benvenuti, M., Fornaro, M., Toni, C., Rizzato, S., Swann, A. C., Dell'Osso, L., & Perugi, G. (2012). Different measures of impulsivity in patients with anxiety disorders: a case control study. Psychiatry Res, 197(3): 231-236. https://doi.org/10.1016/j.psychres.2011.09.020
D'Orta, I., Burnay, J., Aiello, D., Niolu, C., Siracusano, A., Timpanaro, L., Khazaal, Y., & Billieux, J. (2015). Development and validation of a short Italian UPPS-P Impulsive Behavior Scale. Addictive Behaviors Reports, 2, 19-22. https://doi.org/http://dx.doi.org/10.1016/j.abrep.2015.04.003
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. https://doi.org/10.1007/s11136-018-1933-1
Eysenck, H. J., & Eysenck, M. W. (1985). Personality and individual differences: a natural science approach. Plenum Press.
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