Trajectory and related factors of perinatal depression symptoms in rural women in Yunnan
10.3969/j.issn.1000-6729.2025.10.01
- VernacularTitle:云南农村女性孕产期抑郁症状发展轨迹及影响因素
- Author:
Rui HUANG
1
;
Xiu XIA
1
;
Xingmei DU
1
;
Rui DENG
1
;
Yuan HUANG
1
Author Information
1. 昆明医科大学公共卫生学院,昆明 650500
- Publication Type:Journal Article
- Keywords:
perinatal depression symptoms;
rural women;
developmental trajectory;
latent class mixture model
- From:
Chinese Mental Health Journal
2025;39(10):837-842
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the trajectory of depressive symptoms and its related factors in rural women in Yunnan from first trimester of pregnancy to 42 days after childbirth.Methods:The longitudinal study design was used,and 213 pregnant women from a rural county of Yunnan were selected.The Edinburgh Postnatal Depression Scale(EPDS),Generalized Anxiety Disorder(GAD-7),and Perceived Social Support Scale(PSSS)were used to surveyed in their first trimester of pregnancy,and followed up in their second and third trimesters of pregnancy and 42 days after childbirth.The analysis was conducted using latent growth curve models,latent class growth models,and multivariate logistic regression models.Results:The results of the latent growth curve models showed a gradual decrease in perinatal depressive symptom scores over time.The latent class growth models revealed three distinct la-tent classes:persistent high depression score group(1.41％),stable low depression score group(91.08％),and fluctuating depression symptoms group(7.51％).Multivariate logistic regression indicated that women with lower education levels(OR=4.04),anxiety symptoms(OR=4.12),and lower social support(OR=3.12)were more likely to be classified into the persistent high depression score group and fluctuating depression symptoms group.Conclusions:The trajectories of perinatal depression symptoms among rural women in Yunnan could be di-vided into three heterogeneous subgroups.Women with low education levels,anxiety symptoms,and lack of social support are more likely to be detected with perinatal depression symptoms.
