Jiang T, Tuxunjiang X, Wumaier G, Li X, Li L. Path analysis of influencing factors for prenatal depressive symptoms in pregnant women.
J Affect Disord 2022;
317:397-402. [PMID:
36029871 DOI:
10.1016/j.jad.2022.08.076]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 05/20/2022] [Accepted: 08/22/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES
To explore the influencing factors and relationships associated with prenatal depressive symptoms in pregnant women.
METHODS
This study was a survey based cross-sectional investigation conducted on 750 pregnant women who underwent pregnancy and delivery examinations in a third class hospital in Urumqi City, and their general information was collected and a patient health questionnaire using a depression scale (Patients' Health Questionnaire Depression Scale - 9 item, PHQ - 9). Spss25.0 was used to compare the differences between the maternal depressive symptoms group and the non-depressed group, and Amos23.0 was used to construct a structural equation model to explore the influencing factors.
RESULTS
The incidence of depressive symptoms in 750 pregnant women was 13.6 % (102/750) and maternal prenatal depressive symptoms was related to occupation, total monthly income, physical exercise, psychological preparation for pregnancy, residence status, couple relationship, knowledge about pregnancy and other factors (P < 0.05). Binary logistic regression analysis showed that the independent risk factors for prenatal depressive symptoms in pregnant women included occupation (OR = 2.492), monthly gross income (OR = 1.293), psychological preparation for pregnancy (OR = 1.882), residential status (OR = 1.831), knowledge about pregnancy (OR = 2.028), prenatal anxiety (OR = 1.415), and pregnancy stress (OR = 4.590). The constructed path analysis model had good a fit (x2/DF = 3.805, GFI = 0.976, AGFI = 0.946, NFI = 0.902, CFI = 0.924, RMSEA = 0.061) and the path analysis showed that pregnancy stress had only a direct effect on prenatal depressive symptoms (effect value 0.169).
DISCUSSION
The binary logistic regression model showed that knowledge about pregnancy had the greatest influence on prenatal depressive symptoms, and the popularization of pregnancy knowledge reduced prenatal depressive symptoms.
Collapse