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000170026 1001_ $$aYin, Xiaoxv$$b0
000170026 245__ $$aPrevalence and associated factors of antenatal depression: Systematic reviews and meta-analyses.
000170026 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2021
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000170026 520__ $$aTo evaluate the global prevalence of antenatal depression and clarify its potential associated factors, we conducted two systematic reviews and meta-analyses, where appropriate. PubMed, Web of Science, and Embase were used to identify studies published up to Feb 28, 2019. The pooled prevalence of any antenatal depression across 173 studies with 182 reports was 20.7% (95% CI 19.4-21.9%, P = 0.000, I2 = 98.4%), and the pooled prevalence of major antenatal depression across 72 studies with 79 reports was 15.0% (95% CI 13.6-16.3%, P = 0.000, I2 = 97.8%). The prevalence of antenatal depression was higher in low- or lower-middle-income countries, and in studies using self-report instruments or conducted after the year 2010. History of depression, lack of social support, single/separated/divorced status, unplanned pregnancy, unemployment, experience of violence, and smoking before or during pregnancy were significantly associated with antenatal depression. The results of our study indicated that a significant number of pregnant women experience depression and verified some factors that are related to this disorder. As countermeasures, it is important to develop effective risk assessment strategies as well as prevention and intervention strategies for antenatal depression based on its associated factors.
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000170026 650_7 $$2Other$$aAntenatal depression
000170026 650_7 $$2Other$$aAssociated factors
000170026 650_7 $$2Other$$aGlobal prevalence
000170026 650_7 $$2Other$$aInterventions
000170026 7001_ $$aSun, Na$$b1
000170026 7001_ $$aJiang, Nan$$b2
000170026 7001_ $$0P:(DE-He78)62b0f1b5eccef2b5f2e55b7f13ccde6d$$aXu, Xing$$b3$$udkfz
000170026 7001_ $$aGan, Yong$$b4
000170026 7001_ $$aZhang, Jia$$b5
000170026 7001_ $$aQiu, Lei$$b6
000170026 7001_ $$aYang, Chenhui$$b7
000170026 7001_ $$aShi, Xinwei$$b8
000170026 7001_ $$aChang, Jun$$b9
000170026 7001_ $$aGong, Yanhong$$b10
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