ORIGINAL ARTICLE |
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Year : 2015 | Volume
: 4
| Issue : 3 | Page : 454-460 |
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The prediction of postpartum depression: The role of the PRECEDE model and health locus of control
Mahdi Moshki1, Akram Kharazmi2, Khadijeh Cheravi3, Tahereh Baloochi Beydokhti4
1 Department of Public Health, School of Health; Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran 2 Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran 3 Department of Public Health, School of Health, Gonabad University of Medical Sciences, Gonabad, Iran 4 Social Development and Health Promotion Research Center; Department of Nursing, School of Nursing and Midwifery, Gonabad University of Medical Sciences, Gonabad, Iran
Correspondence Address:
Tahereh Baloochi Beydokhti Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, PO Box: 397 Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/2249-4863.161354
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Background: The main purpose of this study was to investigate the effect of the PRECEDE model and health locus of control (HLC) on postpartum depression. This study used the path analysis to test the pattern of causal relations through the correlation coefficients. Materials and Method: The participants included 230 pregnant women in the north-east of Iran who were selected by convenience sampling. To analyze data, Pearson correlation and path analysis were applied to examine the relationships between variables using SPSS 20 and LISREL 8.50software. Results: The result of path analysis showed that a positive correlation exists between predisposing (knowledge, internal HLC, powerful others HLC, chance HLC) enabling and reinforcing factors with postpartum depression by GHQ score (GFI = 1, RSMEA = 000). Conclusion: The current study supported the application of the PRECEDE model and HLC in understanding the promoting behaviors in mental health and demonstrated their relationships with postpartum depression. |
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