Comparison of Early Maladaptive Schemas in Drug (Traditional and Industrial) Addicted and Nonaddicted Individuals in Hamadan, Iran
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 358
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شناسه ملی سند علمی:
JR_AJNPP-7-1_008
تاریخ نمایه سازی: 29 بهمن 1399
چکیده مقاله:
Background and Objective: The present study aimed to compare early maladaptive schemas between individuals with and without substance use disorder (SUD) in Hamadan, Iran.
Materials and Methods: The present causal-comparative study was conducted on a total of 200 individuals with and without SUD referring to the addiction treatment centers in Hamadan, Iran, during 2016. The participants were selected based on the stratified random sampling method. In addition, the required data were collected through the Young’s Schema Questionnaire Short Form and analyzed using the independent samples t-test by SPSS software (version 22).
Results: The obtained results indicated a significant difference in early maladaptive schemas between the participants with and without SUD. Accordingly, the scores of early maladaptive schemas of the subjects with SUD were generally higher than those reported for the participants without SUD (df=198; the p-value of the first column<0.05; the lowest and highest p-values of Levene’s test reported as 0.000 and 0.542, respectively).
Conclusions: There was a significant difference between the scores of early maladaptive schemas in individuals with and without SUD. Accordingly, the frequency of early maladaptive schemas of the participants with SUD was generally greater than that reported for those without SUD.
کلیدواژه ها:
نویسندگان
Ali Moradi
Master of Clinical Psychology, Islamic Azad University, Hamadan Branch, Hamadan, Iran
Elham Gholami
Master of Clinical Psychology, Islamic Azad University, Hamadan Branch, Hamadan, Iran
Tahereh Hagh Talab
Assistant Professor, Department of Psychology, Malayer University, Hamadan, Iran
Iraj Safaeirad
PhD in Psychology, Faculty Member, Islamic Azad University, Hamadan Branch, Hamadan, Iran
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