Attachment styles and emotional intelligence components: the predictors of health dimensions

Authors

  • Hasani, Jafar Department of Psychology, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
  • Rezayi Jamalooei, Hasan Department of Psychology, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
  • Taheri, Mahdi Department of Psychology, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
  • Taheri, Mansour Department of Psychology, School of Psychology and Educational Sciences, Shahid Bahonar University, Kerman, Iran
Abstract:

Health, as one of the most important sources of comfort in life, is the complete physical, mental and social well-being, while there are dynamic mutual relationships among the three components. This study was aimed to investigate the role of attachment styles and emotional intelligence components in the prediction of health dimensions. The statistical population was consisted 160 parents who participated in the trainees’ health assessment programs in Khalkhal city (Iran). Attachment styles questionnaire, emotional intelligence questionnaire and general health questionnaire were used to collect data. Results of the study indicated that avoidant and ambivalent attachment styles has significant relationship with depression dimension. The relationship between emotional intelligence and dimensions of depression, anxiety, physical symptoms and social performance was also significant. Multivariate regression analysis indicated that dependent and ambivalent attachments are predictors of depression/anxiety; secure attachment is a predictors of depression moreover, stress tolerance, social responsibility, empathy, self-esteem, optimism, self-actualization, interpersonal relations, problem solving, independence and assertiveness are predictors of depression, anxiety, physical symptoms and social performance. This study demonstrated that attachment styles and emotional intelligence components play important role in the prediction of health dimensions. Therefore they are applicable and effective in health related programs.

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Journal title

volume 9  issue 1

pages  82- 89

publication date 2019-01

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