Prediction of the Resiliency of Labour Children based on Coping Strategies with Stress and Attachment Styles

Message:
Abstract:
Background and Purpose
Labour children are exposed to various risks and resiliency in high-risk situations is very important. This study aimed to predict the resilience of labour children based on coping strategies with stress and attachment styles.
Method
In a correlational study, 100 labour children who have referred to Tehran labour children Support organizations, the Department of Social Welfare of District 15, Molavi child labor center, and the Tehran's Great Market were selected using convenient sampling method and responded to coping inventory for stressful situations (Endler and Parker, 1990), revised adult's attachment styles (Collins & Reid,1996), and resilience scale(Connor and Davidson , 2003). Data were analyzed using Pearson correlation coefficient and hierarchical regression analysis after eliminating the confounding effect of gender
Results
Correlation coefficients demonstrated that there is a significant positive correlation between resilience with secure and ambivalent attachment styles, and problem-oriented and avoidant coping strategies (P<0.01). Resilience levels were not correlated with age, education level, and duration of employment in children (P>0.05). Regression analysis also showed that after eliminating the gender effect, the subscales of attachment will not explain the resiliency and only the problem-oriented coping strategy (β=0.331, P=0.001) predicts 27% of the joint variance of the resilience (F=6.134, P<0.0001).
Conclusion
Based on the findings of this study, it can be concluded that the problem-solving coping strategy by focusing on solving the problem helps to create intellectual coherence in the individual and enables the person to identify and control the source of stress which results in prediction and increased resilience of the individual.
Language:
Persian
Published:
Quarterly Journal of Child Mental Health, Volume:5 Issue: 4, 2019
Pages:
1 to 12
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