Affiliation:
1. The Fourth People’s Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University
2. Peking University Hui Long Guan Clinical Medical School
3. Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University
Abstract
Abstract
Background
Antenatal depression and anxiety symptoms may have negative consequences for both mothers and offspring, and upward trends in the prevalence of these symptoms were especially apparent during the COVID-19 epidemic. The purpose of this study was to evaluate the prevalence of and relevant factors influencing depressive and anxiety symptoms in Chinese pregnant women in the post-COVID-19 era.
Methods
We conducted an online survey of 1,963 pregnant women in Jiangsu Province, using a cross-sectional design, and collected their general demographic data. The nine-item Patient Health Questionnaire 9 (PHQ-9) was used to evaluate depression symptoms, and the seven-item Generalized Anxiety Disorder 7 (GAD-7) was used to measure anxiety symptoms.
Results
The prevalence of reported antenatal depressive symptoms, anxiety symptoms, and depression combined with anxiety symptoms was 25.2%, 27.9%, and 18.6%, respectively. Of the respondents, prevalence of moderate to severe depression, anxiety, and combined symptoms was 7.9%, 7.7%, and 4.7%, respectively. Binary logistic regression analysis demonstrated that age, low level of education, rural area, unemployment, pregnancy complications, poor marital relationship, and fair household income were positively association with both depressive and anxiety symptoms (all P < 0.05). The proportion of women reporting anxiety symptoms in the third trimester was 1.895-fold higher than in first trimester. Parity was not a relevant factor for depression and anxiety symptoms (all P > 0.05).
Conclusions
In the post-COVID-19 era, the prevalence of depression and anxiety symptoms in pregnant women was higher than expected, and it is vital to establish hospital, community, and family psychological health screening systems based on relevant factors and enhance early preventive measures.
Publisher
Research Square Platform LLC