The Prediction of Sleep Quality Based on Psychological Hardiness and Happiness in the Elderly

Document Type : Original Article

Authors

1 M.A in family counseling, Faculty of Social Sciences, Razi University, Kermanshah, I.R. Iran

2 PhD student in clinical psychology, Faculty of humanities, Tarbiat Modares University, Tehran, I.R. Iran

3 Associate Professor, Department of Psychology, Faculty of Social Sciences, Razi University, Kermanshah,, I. R. Iran

4 PhD student in general psychology, Faculty of humanities, Tarbiat Modares University, Tehran, I.R. Iran

5 M.A in family counseling, Faculty of Social Sciences, Razi University of Kermanshah, Kermanshah, I. R. Iran

10.22126/jap.2020.3772.1320

Abstract

Since the elderly are mostly exposed to sleep problems due to old age, this study aimed to predict the quality of sleep in elderly based on psychological hardiness and happiness variables. It was a descriptive-correlational study. To do this, a sample of 120 people was selected among all non-resident elderly people in Kermanshah elderly Homes in 2018 using convenience sampling method. The research instruments included Haddad et al. psychological hardiness questionnaire, oxford happiness questionnaire and Pittsburgh sleep quality questionnaire.The collected data were analyzed by SPSS software version 22 using Pearson correlation and regression analysis. The results suggested correlation coefficients of 0.44, 0.47 and 0.38 between the components of psychological hardiness (control, commitment and challenge) and sleep quality, respectively. Also, there was a correlation of 0.56 between happiness and sleep quality (P<0.001). Therefore, it can be said that psychological hardiness and happiness can predict %49 of the quality of sleep in the elderly. Considering the results, it was suggested that health professionals, especially those associated with the elderly, could pay a particular attention to the important role of such variables as happiness.

Keywords

References

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History

  • Receive Date: 24 May 2019
  • Revise Date: 02 June 2020
  • Accept Date: 04 June 2020

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