A Psychosocial Risk Assessment Tool to Predict Postnatal Depression in Women with Complicated Pregnancy

Author:

Faramarzi Mahbobeh1ORCID,Hamidia Angela2ORCID,Kheirkhah Farzan2ORCID,Basirat Zahra3,Ghadimi Reza4,Chehrazi Mohammad5,Barat Shahnaz2,Cuijpers Pim6ORCID,O'Connor Elizabeth7,Mirtabar Seyyedeh Mahboubeh8

Affiliation:

1. Department of General Courses, Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, I.R. Iran

2. Department of Psychiatry, Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, I.R. Iran

3. Department of Obstetrics and Gynecology, Infertility and Health Reproductive Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, I.R. Iran

4. Department Social Medicine, Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, I.R. Iran

5. Department of Biostatistics and Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, I.R. Iran

6. Department of Clinical Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

7. Department of Psychology, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon 97227, United States

8. Research Center of Ayatollah Rohani Hospital, Health Research Institute, Babol University of Medical Sciences, Babol, I.R. Iran

Abstract

Introduction: Few studies have reported the role of psychosocial risk factors by a validated scale in predicting mental disorders in women with complicated pregnancy. This study investigated the role of a psychosocial risk assessment tool in the prediction of postnatal depression in women with complicated pregnancy. Methods: A prospective study was performed on pregnant women with complicated pregnancy from December 2019 to June 2020. A total of 125 pregnant women filled the Antenatal Risk Questionnaire (ANRQ), Edinburgh Postnatal Depression Scale (EPDS) and Brief Symptom Inventory 53-items (BSI-53). Also, the patients completed EPDS during 6-weeks of postpartum. An expert mental specialist conducted the interviews based on the DSM-5. Results: More than half of the women with complicated pregnancy were diagnosed to have at least one mental disorder. The mean risk scores of ANRQ including the childhood social support from the respondent’s mother, history of mental illness, perceived level of support available postpartum, significant life events in the past 12 months, and personality traits with high anxiety were higher in women with mental disorders than those without mental disorders. The results emphasized that the total score of ANRQ was the strongest positive predictor for postnatal depression score of EPDS (β = 0.569, p=<0.001), for the total score of BSI-53 (β = 0.666 p=<0.001), and for GSI (β = 0.237, p=0.019). Conclusion: The study proposes that the use of a validated psychosocial risk assessment tool alongside a screening psychological tool, like EPDS, is reliable for prediction of mental disorders and help women with complicated pregnancy at risk for prevention of depression at antenatal visits.

Funder

National Institute for Medical Research Development

Publisher

Bentham Science Publishers Ltd.

Subject

Psychiatry and Mental health

Reference35 articles.

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2. Faramarzi M.; Kheirkhah F.; Barat S.; Prevalence and factors related to psychiatric symptoms in low risk pregnancy. Caspian J Intern Med 2020,11(2),211-218

3. American Psychiatric Association. Position statement on screening and treatment of mood and anxiety disorders during pregnancy and postpartum, 2018. Available from:

4. Screening for perinatal depression. ACOG Committee Opinion No. 757. American College of Obstetricians and Gynecologists. Obstet Gynecol 2018,132(5),e208-e212

5. Letourneau N.L.; Tramonte L.; Willms J.D.; Maternal depression, family functioning and children’s longitudinal development. J Pediatr Nurs 2013,28(3),223-234

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