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

Yang Huai-jie, Yang Hong, Yan Li, Xiang Wenying, Wang Tao
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Abstract

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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孕晚期妇女抑郁影响因素的通径模型分析
目的采用路径模型分析法,调查晚期妊娠妇女抑郁的影响因素,探讨抑郁的相互关系。方法这项横断面研究于2018年1月至2019年3月进行。来产前诊所进行常规检查的产前妇女被邀请参与研究。收集孕妇的一般信息(包括生理、心理、社会和其他因素)。采用医院焦虑抑郁量表(HADS)评估妊娠期抑郁症的发生率。采用SPSS 24.0软件比较抑郁组与非抑郁组的差异,采用AMOS 21.0软件建立通径分析模型,探讨妊娠期抑郁的影响因素及其相互关系。结果共有1059名孕妇完成了问卷调查。妊娠晚期妇女抑郁抑郁的发生率为11.1%(118/1 059)。路径模型与样本数据拟合良好(GFI=0.912,AGFI=0.901,RFI=0.920,CFI=0.931,RMSEA=0.033)。孕妇在怀孕期间的睡眠质量和家庭成员只有直接影响(影响分别为0.136和0.107)。居住、家庭月收入和社会支持对抑郁症只有间接影响(影响分别为0.175、0.103和0.102)。结论通径模型分析表明,孕妇的居住地、家庭月收入、与之同住的家庭成员、受教育程度不易发生变化。建议通过干预妊娠焦虑、社会支持、睡眠质量和妊娠心理准备来降低抑郁的发生率。关键词:妊娠晚期;抑郁症;影响因素;路径模型分析
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期刊介绍: "Chinese Journal of Behavioral Medicine and Brain Science" (CN 37-1468/R, ISSN 1674-6554) is a national academic journal under the supervision of the National Health Commission, sponsored by the Chinese Medical Association and Jining Medical College. The journal was founded in June 1992 and was formerly known as "Chinese Journal of Behavioral Medicine" (1992-1993) and "Chinese Behavioral Medical Science" (1994-2008). In 2009, it was renamed "Chinese Journal of Behavioral Medicine and Brain Science" with the approval of the State Administration of Press, Publication, Radio, Film and Television. The purpose of "Chinese Journal of Behavioral Medicine and Brain Science" is to implement the health and health policies of the Party and the State, implement the principle of combining theory with practice and popularization and improvement, and reflect the major progress in the theory and practical application of behavioral medicine and brain science in my country. It publishes academic papers and scientific research results in the field of behavioral medicine and brain science in my country, and has columns such as monographs/reviews, basic research, clinical research, health prevention, methods and techniques, psychological behavior and evaluation, and systematic evaluation.
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