Xian Tang1, Zhuo Lu1, Dihui Hu1, Xiaoni Zhong2. 1. School of Public Health and Management, Chongqing Medical University, 1# yixue Rd., Chongqing 400016, China. 2. School of Public Health and Management, Chongqing Medical University, 1# yixue Rd., Chongqing 400016, China. Electronic address: zhongxiaoni@cqmu.edu.cn.
Abstract
BACKGROUND: Prenatal mental disorders are associated with maternal and fetal adverse outcomes, while few studies have been performed in mainland China. This study aimed to investigate the prevalence and influencing factors of maternal stress, anxiety and depression in early pregnancy and provide scientific basis for reducing prenatal mental disorders. METHODS: Data were obtained from 1220 women with < 15 weeks gestation in a cohort study conducted in Chongqing, China. Prenatal stress, anxiety and depression were assessed using the pregnancy pressure scale, the Hamilton anxiety scale, and the self-rating depression scale, respectively. RESULTS: The prevalence of prenatal stress, anxiety and depression in early pregnancy was 91.86%, 15.04% and 5.19%, respectively. Logistic regression analysis revealed that the risk factors for prenatal stress include housewife/unemployment, presence of anxiety and low- and moderate-level social support, besides, the protective factors were exercise, active smoking and no suggestion from parents. Housewife/unemployment, primiparity, presence of stress and depression and low-level social support were found to be associated with the development of anxiety symptoms, whereas exercise had a protective effect on it. Group-oriented personality, presence of anxiety, no suggestion from husband, low- and moderate-level family care, and low-level social support were risk factors for prenatal depression. LIMITATIONS: All participants were recruited from one region of China, and none of them have a history of cesarean section. CONCLUSION: Early screening and intervention may have great significance for reducing mental disorders of pregnant women, and the family and society support should be brought into the intervention as well.
BACKGROUND: Prenatal mental disorders are associated with maternal and fetal adverse outcomes, while few studies have been performed in mainland China. This study aimed to investigate the prevalence and influencing factors of maternal stress, anxiety and depression in early pregnancy and provide scientific basis for reducing prenatal mental disorders. METHODS: Data were obtained from 1220 women with < 15 weeks gestation in a cohort study conducted in Chongqing, China. Prenatal stress, anxiety and depression were assessed using the pregnancy pressure scale, the Hamilton anxiety scale, and the self-rating depression scale, respectively. RESULTS: The prevalence of prenatal stress, anxiety and depression in early pregnancy was 91.86%, 15.04% and 5.19%, respectively. Logistic regression analysis revealed that the risk factors for prenatal stress include housewife/unemployment, presence of anxiety and low- and moderate-level social support, besides, the protective factors were exercise, active smoking and no suggestion from parents. Housewife/unemployment, primiparity, presence of stress and depression and low-level social support were found to be associated with the development of anxiety symptoms, whereas exercise had a protective effect on it. Group-oriented personality, presence of anxiety, no suggestion from husband, low- and moderate-level family care, and low-level social support were risk factors for prenatal depression. LIMITATIONS: All participants were recruited from one region of China, and none of them have a history of cesarean section. CONCLUSION: Early screening and intervention may have great significance for reducing mental disorders of pregnant women, and the family and society support should be brought into the intervention as well.
Authors: Emily Zimmerman; Andréa Aguiar; Max T Aung; Sarah Dee Geiger; Morgan Hines; Megan L Woodbury; Alaina Martens; Gredia Huerta-Montanez; José F Cordero; John D Meeker; Susan L Schantz; Akram N Alshawabkeh Journal: Pediatr Res Date: 2021-12-16 Impact factor: 3.953
Authors: X Liu; M Chen; Y Wang; L Sun; J Zhang; Y Shi; J Wang; H Zhang; G Sun; P N Baker; X Luo; H Qi Journal: BJOG Date: 2020-08-02 Impact factor: 7.331