Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Coping Strategies in Iranian Mothers of Children With Type 1 Diabetes Publisher



Shavaki MA1 ; Harandi TF2 ; Pourabbasi A3 ; Rahimzadeh M2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran
  2. 2. Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran
  3. 3. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Diabetes and Metabolic Disorders Published:2018


Abstract

Purpose: Having a child with type 1 diabetes as a stressor causes the use of coping strategies in mothers. The aim of this study was to investigate the coping strategies in mothers of children with type 1 diabetes and their relationship with stress management. Methods: This study was conducted on mothers of children with type 1 diabetes (N = 180) in Tehran and Karaj (Iran). Data were collected by a multi-sectional questionnaire that its validity and reliability were confirmed. Data were analyzed by SPSS software (v 19) and using statistical tests. Results: The highest mean score was related to problem-focused coping (22.11) and the lowest was related to emotion-focused coping strategies (12.2). Regression model showed that the variables of mother’s age, problem- focused coping, and meaning-based coping had a positive effect, and variables of father’s age and emotion-focused coping had a negative effect on stress management in mothers. Conclusion: Mothers of children with type 1 diabetes can be more successful in their stress management through using problem-focused and meaning-based coping approaches. Hence, the need for continuous education of effective coping strategies to these mothers is felt. © 2018, Springer Nature Switzerland AG.
Related Docs
Experts (# of related papers)