Anxiety and depression among perinatal women during the long-term normal prevention of COVID-19 pandemic period in China: a cross-sectional study

Abstract

BackgroundCOVID-19 has increased the probability of occurrence of maternal anxiety and depression in pregnant women. However, there is limited research on anxiety and depression among pregnant women during the long-term normal prevention of COVID-19 pandemic period. This study aimed to examine the anxiety and depression and influencing factors among perinatal women during the long-term normal prevention of COVID-19 pandemic period in China.MethodsA cross-sectional survey was designed. A total of 1338 pregnant women were studied. The prenatal anxiety and depression were assessed by the Self-rating Anxiety Scale (SAS) and the Self-rating Depression Scale (SDS), respectively. Postnatal depression was assessed by the Edinburgh Postpartum Depression Scale (EPDS) in 10–14 days after delivery. The data analysis was processed by SPSS9.0. Descriptive analysis was expressed by mean and standard deviation. The counting data were expressed by percentage, χ2 test, multiple linear regression and binary logistic regression.ResultsThe incidence of prenatal anxiety (SAS score ≥ 50) was 27.95% (374 cases), prenatal depression (SDS score ≥ 0.5) was 34.01% (455 cases), and postpartum depression (EPDS score ≥ 0.5) was 25.04% (335 cases). Both the prenatal SAS score (r = 0.635, P < 0.001) and prenatal SDS score (r = 0.738, P < 0.001) were related to postpartum depression. Pregnant women who were younger than 35 years, in middle household income, lower education level, underweight before pregnancy, primiparous, and fear of being infected were at increased risk for developing anxiety and depression during the long-term normal prevention of COVID-19 pandemic.ConclusionsThe incidences of postpartum depression among perinatal women during the long-term normal prevention of COVID-19 pandemic period were a little lower than those during the COVID-19 outbreak period, but still higher than those before the COVID-19.