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Path model analysis of influencing factors on depression in late pregnant women

路径分析(统计学) 萧条(经济学) 焦虑 住所 怀孕 入射(几何) 结构方程建模 妊娠晚期 心理学 社会支持 产前抑郁症 医学 家庭收入 人口学 精神科 临床心理学 产科 妊娠期 抑郁症状 数学 心理治疗师 宏观经济学 经济增长 社会学 光学 遗传学 生物 统计 物理 经济
作者
Huai-jie Yang,Hong Yang,Yan Li,Wenying Xian,Tao Wang
出处
期刊:Chinese Journal of Behavioral Medicine and Brain Science [Chinese Medical Association]
卷期号:29 (01): 38-43
标识
DOI:10.3760/cma.j.cn371468-20190424-00283
摘要

Objective To survey the influencing factors for depression based on path model analysis in late pregnant women, and to explore the interrelationships for depression. Methods This cross-sectional study was conducted from January 2018 to March 2019.Antenatal women who came for a routine check-up at the antenatal clinic were invited to participate in the study.Collecting general information of pregnant women(including biological, psychological, social and other factors). The Hospital Anxiety and Depression Scale (HADS) was used to evaluate the incidence of depression during pregnancy.The differences between depression group and non-depression group were compared by SPSS 24.0, and the path analysis model was conducted by AMOS 21.0 to explore the influencing factors and interrelations of depression during pregnancy. Results A total of 1 059 pregnant women completed questionnaire.The incidence of depression depression in third trimester women was 11.1%(118/1 059). The path model fitting well with the sample data(GFI=0.912, AGFI=0.901, RFI=0.920, CFI=0.931, RMSEA=0.033). Anxiety, psychological preparation for the current pregnancy, and level of education had both direct and indirect effects on depression in third trimester women(the total effects of the three factors were 0.381, -0.140 and -0.156, respectively). Sleep quality and family member with whom the pregnant women living during pregnancy had only direct effects (the effects were 0.136 and 0.107, respectively). Residence, monthly income of family and social support had only an indirect influence on depression(the effects were 0.175, 0.103, and 0.102, respectively). Conclusion Path model analysis suggests that the residence, monthly income of family, family member with whom the pregnant women living during pregnancy and educational level are not easy to change. It is suggested the incidence of depression is reduced by intervening the pregnancy anxiety, social support, sleep quality and the psychological preparation for pregnancy. Key words: Late pregnancy; Depression; Influencing factors; Path model analysis
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