Moderating effect of dysmenorrhea on the association between number of pregnancies and antenatal depression in the third trimester: a cross-sectional study
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To investigate the relationship between third-trimester antenatal depression (AND) and the number of pregnancies, considering the possible moderating role of dysmenorrhea. METHODS: A total of 1,178 pregnant women in their third trimester were included in this cross-sectional observational study. The pregnant women were categorized into those with and without dysmenorrhea. Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS), a validated instrument for perinatal depression screening applicable to both antenatal and postnatal populations. Regression analysis and simple slope analysis to evaluate the moderating effect of dysmenorrhea. RESULTS: The non-dysmenorrhea group exhibited significantly higher age, pre-pregnancy BMI, number of pregnancies or deliveries, and lower EPDS scores than the dysmenorrhea group (p < 0.05). In both groups, an inverse relationship was observed between educational levels and EPDS scores (p < 0.001). For the non-dysmenorrhea group, age was inversely related to the EPDS scores (p < 0.001). Within the dysmenorrhea group, the number of Pregnancies and the count of deliveries demonstrated a positive association with EPDS scores (p < 0.001). A negative correlation with EPDS scores was found for both age and the educational levels of the husbands (p < 0.05). Dysmenorrhea was linked to a positive correlation with EPDS scores (p < 0.001). Furthermore, the interaction between the number of pregnancies and the presence of dysmenorrhea also demonstrated a positive correlation with EPDS scores (p < 0.05). CONCLUSION: In conclusion, there is a significant positive link between the number of pregnancies and AND, with further exacerbation by dysmenorrhea.
Source: BMC Pregnancy and Childbirth
Authors: Guangxue Chen, Xiaoxue Wang, Tiantian Kong, Zixuan Guo, Lulu Zhao, Fan Yang, Guohui Liu, Yanlong Liu, Duo Ma, Fan Wang
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,290
Award: G7639570316
OpenAlex ID: W7133769996
