درخت حوزه‌های تخصصی

Objective: Addiction is a physical-mental illness that, due to its progressive nature in all aspects of life, endangers the health of the individual, family and society. In order to prevent and resolve this destructive phenomenon, it is necessary to provide and implement comprehensive and appropriate programs in the rural area. Therefore, the aim of the present study is to determine the predictors of substance abuse of rural immigrant. Method: The statistical population included all addicted prisoners who migrated from rural to urban areas. Using cluster sampling method, 360 people were selected as the study sample. Descriptive statistics and logistic regression were used to analyze data. Result:The results showed that only the quality of life component can predict the drug abuse of migrant rural men and women, while the components of access to facilities, rural management performance, and individual participation, as well as marital status, age and education cannot predict their substance abuse (p <0.05). Conclusions: According to the results of the present study, since the quality of life is a predictor of substance abuse in migrant villagers, and this problem, in fact, indicates the basic infrastructural problems in preventing the migration of villagers and their substances abuse, related planning and policies in the field of social health are suggested in this regard.

Introduction: One of the basic human needs that plays a vital role in sustainable development is mental health. In the digital age, Internet addiction is a threat to mental health. So this study aimed at validating the treatment entry questionnaire for Tehran University students in 2019. Method: Participants were 324 undergraduate and postgraduate students of state universities in Tehran, who were selected through one-step cluster random sampling. All participants completed the Urbanoski and Wild’s (2012) Treatment Entry Questionnaire, the Miler and Tonigan (1996) Change Readiness and Treatment Eagerness Scale, and the Young Internet Addiction Questionnaire. Results: Data were analyzed using the confirmatory factor analysis model. Confirmatory factor analysis of the data showed that the three-factor structure of the identified, intrinsic, and extrinsic treatment motivation has a good fit, and the validity of the scale was confirmed by face and content validity. Convergent validity evidence confirmed the positive relationship between identified, intrinsic, and extrinsic treatment motivation with subscales of recognition, taking the step, and ambivalence of the Readiness for Change and Treatment Motivation scale. Cronbach's alpha test was used to assess the reliability of the whole scale (0.95) and each subscale of identified motivation (0.94), intrinsic motivation (0.89), and extrinsic motivation (0.86). Conclusion: The results showed that the Persian version of the treatment entry scale for the student population has acceptable psychometric properties and can be used as a valid tool in psychological research.