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Jul 2018, Vol 6, Issue 3
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Original Article
Path Analysis Association Between Socio-economic Status, Anxiety, Perceived Stress, Social Support and Women' Depression
Vameghi Roshanak2, Amir Ali Akbari Sedigheh1, Sajjadi Homeira3, Sajedi Firoozeh2, Alavimajd Hamid4
1Department of Midwifery,Shahid Beheshti University of Medical Sciences, Tehran, Iran
2Pediatric Neurorehabilitation Research Center, University of Social Welfare and Rehabilitation Sciences. Tehran, Iran
3Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
4Department of Biostatistics, School of Paramedical Sciences,Shahid Beheshti University of Medical Sciences, Tehran, Iran

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Keywords : Depression, Psychological factors, Social Support, Socioeconomic statue
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Objectives: Given the importance and prevalence of depression among women, this study aimed to test the correlation model between socio-economic status, anxiety, perceived stress, social support with women’ depression in reproductive age using path analysis.

Materials and Methods: This analytical cross-sectional study was conducted on 1065 women of reproductive age selected randomly from clinics affiliated to Shahid Beheshti University of Medical Sciences, Tehran, Iran. Data were collected using demographic and socio-economic status questionnaires, the perceived stress and the social support Scales, Spielberger' anxiety inventory and Beck’s depression inventory. The data were analyzed using SPSS19 & lisrel 8.8 software.

Results: The final path model fitted well (GFI=1 RMSEA=0/09) and showed that socioeconomic status had direct (β=- 0/22) and indirect effect (β=- 0/0645), perceived stress had direct effect (β=0/22), social support had direct(β=- 0/21) and indirect effect (β=- 0/033), anxiety had direct effect (β=0/18) on depression, and in the overall effect socioeconomic status had the most effects on depression ( β=-0/2845).

Conclusion: According to the obtained results, screening for the examined variables is recommended to prevent and diagnose depression and promote health in women.

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