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Prediction of Addiction Potential Based on Emotional Intelligence and Mediation of Social Readjustment in Working Children
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Hosna Karimi   , Marjan Jafari Roshan , Azin Taghipour |
| , marjan.jafariroshan@gmail.com |
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Abstract: (211 Views) |
Introduction: Emotional intelligence and social re-adjustment are effective in the emergence of working children addiction capability. The aim of the present study was to predict the addiction potential based on emotional intelligence and the mediation of social re-adjustment in working children of Tehran.
Methods: The method of the current research is descriptive-correlation and the statistical population of the current research was made up of 12-18-year-old working children in Tehran in 1402. Among them, 215 people were selected by non-random and available sampling method. Demographic questionnaire, "Addiction Potential Scale", "Emotional Intelligence Questionnaire", and "Social Readjustment Rating Scale" were used to collect data. Validity The tools were measured using the qualitative method of content validity and internal consistency by calculating the Cronbach's coefficient. The data were analyzed with SPSS. 24 and Amos. 24.
Results: Emotional intelligence (β=0.358, P=0.001) predicts social readjustment in working children. Social readjustment (β=0.461, P=0.001) predicts addiction potential in work teenagers. Social readjustment mediates the correlation between emotional intelligence (β=0.223, P=0.001) and addiction potential in working children
Conclusions: Addiction potential is predicted based on emotional intelligence with the mediation of social readjustment. It is suggested to psychological experts and institutions supporting working children to focus on methods of strengthening emotional intelligence and controlling the tension of these people in preventing addiction of working children.
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| Keywords: Addiction Potential, Emotional Intelligence, Social Readjustment, Working Children. |
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Full-Text [PDF 357 kb]
(100 Downloads)
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Type of Study: Research |
Subject:
health & social welfare management
Received: 2024/08/12 | Accepted: 2024/08/12 | Published: 2024/10/1
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