|Path Analysis of the Association Between Socio-economic Status, Anxiety, Perceived Stress, Social Support and Women’s Depression|
|Roshanak Vameghi1, Sedigheh Amir Ali Akbari2 , Homeira Sajjadi3, Firoozeh Sajedi1, Hamid Alavimajd4|
|1Pediatric Neuro Rehabilitation Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
2Department of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3Community Medicine, Social 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
IJWHR 2018; 6: 283-289
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Keywords : Socioeconomic status, Psychological factors, Depression, Social Support, Perceived Stress, Anxiety
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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 and women’s 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’s Anxiety Inventory and Beck’s Depression Inventory. The data were analyzed using SPSS version 19.0 and LISREL version 8.8.
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 overall, socioeconomic status had the greatest effects on depression (β=-0.2845).
Conclusions: 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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