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DOI: 10.1055/s-0044-1786692
Prevalence and Predictors of Anxiety and Depression among Perinatal Women in Tertiary Care Hospital: A Cross-Sectional Study
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Abstract
Introduction The perinatal period is a critical time in a woman's life. The impact of perinatal mental disorders includes new evidence of an increase in their prevalence among young pregnant women. Perinatal mental disorders are one of the most common and undertreated morbidities. Early detection of perinatal mental illness may be supported by evidence on risk factors. Our study aimed to identify the prevalence and risk factors of anxiety and depression and to determine the association between them.
Materials and Methods A prospective observational questionnaire-based study was conducted in the obstetrics and gynecology department of a tertiary care hospital for a duration of 6 months. With random sampling, 741 participants were recruited for the study based on inclusion and exclusion criteria. The data were analyzed using SPSS version 28.
Results The prevalence of perinatal anxiety and depression was found to be 48.5 and 32.2%, respectively. We discovered a substantial link between perinatal depression and anxiety, with an odds ratio of 3.9. The predictors are gestational age, postpartum age, comorbid conditions, morning sickness, sleep disturbance, sleep duration, loss of appetite, loss of interest in their favorite food, type of family, and presence of risk in their pregnancy.
Conclusion Early screening and intervention may drastically and significantly reduce mental disorders existing in the pregnant population. So as health care professionals, we suggest that screening and counseling for depression and anxiety could be included as routine processes in antenatal care.
Ethical Approval
The proposed study was approved by our institutional ethical committee.
Publication History
Article published online:
30 May 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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