Analysis of risk factors for co-morbid anxiety and depression in pregnant women

• DOI: 10.1016/j.psychres.2024.116323
• Publication Date: 2024-12-10T16:27:19Z
• Authors: Wei Zhang; Ling Li; Xiabidan Tuxunjiang; Bahedana Sailike; Xiaoting Wang; Weicui Meng; Sufeila Shalayiding; Ting Jiang
• Keywords: Depression

Co-morbid anxiety and depression (CAD) is defined as the co-existence of depression. During pregnancy, women are more prone to negative emotions, such depression, than general female population. The incidence CAD during pregnancy 1-26 %. aims this study were investigate influencing factors pregnancy. cohort included 3053 pregnant who underwent maternity check-ups at a tertiary hospital in China. Demographic characteristics, level social support, psychological characteristics collected from participants via self-reported questionnaire, which General Information Questionnaire, Pregnancy Stress Scale, Generalized Anxiety Patient Health Questionnaire-9, Perceived Social Support Scale. A binary logistic regression model categorical decision tree based on Chi-square Automatic Interaction Detector algorithm used identify differences between two models analysed compared. results identified stress, knowledge, couple relationship satisfaction, advanced maternal age, occupation stress was most influential factor. areas under curve classification 0.801 (95 % CI: 0.778-0.823) 0.827 0.807-0.847), respectively, with specificities 63 77 %, sensitivities 83.9 76.3 Logistic excels when dealing linear relationships, while trees particularly useful nonlinear relationships. Therefore, combining can achieve some degree diversity, thus improving predictive power confidence results.