Path analysis of influencing factors for prenatal depressive symptoms in pregnant women

Ting Jiang; Xiabidan Tuxunjiang; Gulijianati Wumaier; Xue Li; Ling Li

doi:10.1016/j.jad.2022.08.076

Path analysis of influencing factors for prenatal depressive symptoms in pregnant women

J Affect Disord. 2022 Nov 15:317:397-402. doi: 10.1016/j.jad.2022.08.076. Epub 2022 Aug 25.

Authors

Ting Jiang¹, Xiabidan Tuxunjiang¹, Gulijianati Wumaier¹, Xue Li¹, Ling Li²

Affiliations

¹ Department of Public Health, Xinjiang Medical University, Urumqi, China.
² Obstetrics Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China. Electronic address: sharlots@163.com.

PMID: 36029871
DOI: 10.1016/j.jad.2022.08.076

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.

Keywords: Influencing factors; Maternal; Path analysis; Prenatal depressive symptoms.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Anxiety / psychology
Cross-Sectional Studies
Depression / psychology
Female
Humans
Pregnancy
Pregnancy Complications* / psychology
Pregnant Women* / psychology