Volume 8, Issue 3 (Summer 2019)
J Occup Health Epidemiol 2019, 8(3): 141-147 |
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1- MSc in Clinical Psychology, Department of Psychology, Faculty of Educational Sciences & Psychology, University of Kharazmi, Tehran, Iran.
2- MSc in Clinical Psychology, Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Shiraz Branch, Shiraz, Iran.
3- MSc in General Psychology, Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Roudehen Branch, Tehran, Iran.
4- Instructor, Department of Psychology, Payame Noor University, Tehran, Iran. , saramhasti@yahoo.com
2- MSc in Clinical Psychology, Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Shiraz Branch, Shiraz, Iran.
3- MSc in General Psychology, Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Roudehen Branch, Tehran, Iran.
4- Instructor, Department of Psychology, Payame Noor University, Tehran, Iran. , saramhasti@yahoo.com
Article history
Received: 2019/06/14
Accepted: 2019/10/13
ePublished: 2020/04/11
Accepted: 2019/10/13
ePublished: 2020/04/11
Subject:
Occupational Health
Abstract: (3410 Views)
Background: Postpartum depression (PPD) is a significant health problem that affects women's health. Tthe purpose of this study was to predict sleep disorders and postpartum depression based on the social support provided for employed women referred to health centers in Shiraz, Iran, from 2018 to 2019.
Materials & Methods: A descriptive study was conducted on 90 working mothers, who were assessed 4 weeks after childbirth at health centers in Shiraz, from November 13 to December 13, 2018. The participants were selected through a multi-stage random sampling method. Data collection was done using the Standard Pittsburgh Sleep Quality Index (PSQI), Edinburgh Postnatal Depression Questionnaire (EPDS), and Multidimensional Scale of Perceived Social Support (MSPSS). Data were analyzed via Pearson's simple correlation coefficient and multivariate regression.
Results: Regression analysis showed significant correlations between social support, postpartum depression, and sleep disturbances in respondents (MR=0.409 and p <0.001). Social support dimensions can predict about 17% of the variance in the postpartum and sleep disturbance among women. There was not a significant correlation between social support and postpartum depression.
Conclusion: During the postpartum period, health practitioners should provide psychological education or counseling, and emphasize social support, particularly for spouses.
Materials & Methods: A descriptive study was conducted on 90 working mothers, who were assessed 4 weeks after childbirth at health centers in Shiraz, from November 13 to December 13, 2018. The participants were selected through a multi-stage random sampling method. Data collection was done using the Standard Pittsburgh Sleep Quality Index (PSQI), Edinburgh Postnatal Depression Questionnaire (EPDS), and Multidimensional Scale of Perceived Social Support (MSPSS). Data were analyzed via Pearson's simple correlation coefficient and multivariate regression.
Results: Regression analysis showed significant correlations between social support, postpartum depression, and sleep disturbances in respondents (MR=0.409 and p <0.001). Social support dimensions can predict about 17% of the variance in the postpartum and sleep disturbance among women. There was not a significant correlation between social support and postpartum depression.
Conclusion: During the postpartum period, health practitioners should provide psychological education or counseling, and emphasize social support, particularly for spouses.
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