Cargando…
Depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19
BACKGROUND: Pregnancy as a sensitive period of a woman’s life can be affected by various psychological factors that can have adverse effects on the woman, her fetus and future baby. Since COVID-19 is a new phenomenon with limited information available, it may have adverse psychological effects on pr...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506842/ https://www.ncbi.nlm.nih.gov/pubmed/32962764 http://dx.doi.org/10.1186/s40359-020-00464-8 |
Sumario: | BACKGROUND: Pregnancy as a sensitive period of a woman’s life can be affected by various psychological factors that can have adverse effects on the woman, her fetus and future baby. Since COVID-19 is a new phenomenon with limited information available, it may have adverse psychological effects on pregnant women. Therefore, this study was conducted to determine the status of depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19. METHODS: This descriptive-analytical cross-sectional study was performed on 205 pregnant women covered by Tabriz health centers in Iran. The sampling method used was cluster sampling. The data collection tool was the socio-demographic characteristics questionnaire and the DASS-21 (Depression, Anxiety and Stress Scale-21), which were completed online by pregnant women. The general linear model was used to determine the predictive factors of depression, anxiety and stress. RESULTS: The mean (SD) score of depression, stress, and anxiety were 3.91 (3.9), 6.22 (4.25), and 3.79 (3.39), respectively; the score range of 0 to 21. Depression, stress, and anxiety symptoms were observed in 32.7, 32.7, and 43.9% of the participants, respectively, with varying degrees from mild to very severe. Based on the adjusted general linear model, variables of education level, spouse’s job and marital life satisfaction were the predictors of depressive symptoms. Variables of spouse’s education level, spouse’s support, marital life satisfaction and the number of pregnancies were the predictive factors of anxiety symptoms and the variables of spouse’s education level, household income sufficiency, spouse’s support and marital life satisfaction were predictors of stress symptoms. CONCLUSIONS: Considering the role of marital life satisfaction, high level of spouse’s education and income in reducing symptoms of stress, anxiety, and depression in pregnant women in critical situations such as the prevalence of COVID-19, it seems that using strategies to promote marital life satisfaction and socio-economic status can play an effective role in controlling anxiety and reducing stress and depression in pregnant women. |
---|