the role of forgiveness and gender in predictability of mental health among agings from shahrekord
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Aim
This study was accomplished to predict mental health and its dimensions based on forgiveness and gender variables in the aging of Shahrekord. The study population comprised of aging in Shahrekord city, and a sample of 120 agings in Aftab, Khane Jahandidegan, and Farhikhtegan senior centers was selected with purposive sampling. ,
Method
In this study, The World Health Organization Mental Health Questionnaire (GHQ) and grudge questionnaire (created by Rashan) was performed on the sample group. Also, gender explored in data analysis.
Findings
Correlation analysis showed that forgiveness had a significant and positive relationship with mental health, especially with depression. Also, multiple multivariate regression analysis showed that all four dimensions of mental health (physical health, anxiety, depression, and social performance) were predicted by forgiveness and just two dimensions of that (depression and physical health) could be predicted by gender.
Conclusion
this study showed that variables like forgiveness and gender could predict mental health among agings.Keywords:
forgiveness , Gender , Mental health , Aging
Language:
Persian
Published:
Rooyesh-e-Ravanshenasi, Volume:8 Issue: 4, 2019
Pages:
193 to 200
magiran.com/p2013030
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