Literature DB >> 30559006

A systematic review of prevalence and risk factors of postpartum depression in Chinese immigrant women.

Jiarui Chen1, Wendy M Cross2, Virginia Plummer3, Louisa Lam4, Siyuan Tang5.   

Abstract

BACKGROUND: As the number of immigrants grows, the health of Chinese immigrant women, especially their perinatal health, has gradually attracted public attention. Our review has two main purposes. First, estimate the prevalence of postpartum depressive symptoms in Chinese immigrant women, and then determine risk factors for postpartum depressive symptoms among these women.
METHODS: The following databases: MEDLINE, Embase, Scopus, Web of Science, PsycINFO and PubMed were used in literature search from their commencements until November 21st 2017. The Joanna Briggs Institute (JBI) Critical Appraisal instruments were used to evaluate the quality of the article. Four studies met the inclusion criteria, contributed to our review and meta-analysis. RESULT: The prevalence of postpartum depression is high in Chinese immigrant women. Risk factors for postpartum depression in Chinese immigrant women were defined as lack of social support, unstable economic status, and acculturation.
CONCLUSION: There have been few studies on postpartum depression among Chinese immigrant women. Existing studies have shown a high prevalence of postpartum depression in Chinese immigrant women. Moreover, there is an urgent need for studies on postpartum depression among Chinese immigrant women informing better understanding, programs of care and improving the perinatal health status of Chinese immigrant women.
Copyright © 2018 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Immigrants; Meta-analysis; Postpartum depression; Prevalence; Risk factors

Mesh:

Year:  2018        PMID: 30559006     DOI: 10.1016/j.wombi.2018.11.019

Source DB:  PubMed          Journal:  Women Birth        ISSN: 1871-5192            Impact factor:   3.172


  8 in total

1.  Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study.

Authors:  Peiqin Liang; Yiding Wang; Si Shi; Yan Liu; Ribo Xiong
Journal:  BMC Psychiatry       Date:  2020-11-25       Impact factor: 3.630

2.  Language Proficiency and Migrant-Native Disparities in Postpartum Depressive Symptoms.

Authors:  Sousan Hamwi; Elsa Lorthe; Henrique Barros
Journal:  Int J Environ Res Public Health       Date:  2021-04-29       Impact factor: 3.390

Review 3.  Prevalence and Risk Factors Associated with Postpartum Depression during the COVID-19 Pandemic: A Literature Review and Meta-Analysis.

Authors:  Qianqian Chen; Wenjie Li; Juan Xiong; Xujuan Zheng
Journal:  Int J Environ Res Public Health       Date:  2022-02-16       Impact factor: 3.390

4.  Maternal Interaction With Infants Among Women at Elevated Risk for Postpartum Depression.

Authors:  Sherryl H Goodman; Maria Muzik; Diana I Simeonova; Sharon A Kidd; Margaret Tresch Owen; Bruce Cooper; Christine Y Kim; Katherine L Rosenblum; Sandra J Weiss
Journal:  Front Psychol       Date:  2022-03-03

Review 5.  Access to health services among culturally and linguistically diverse populations in the Australian universal health care system: issues and challenges.

Authors:  Resham B Khatri; Yibeltal Assefa
Journal:  BMC Public Health       Date:  2022-05-03       Impact factor: 4.135

6.  Prevalence and associated factors of postpartum depression among immigrant women in Guangzhou, China.

Authors:  Ribo Xiong; Aiwen Deng
Journal:  BMC Pregnancy Childbirth       Date:  2020-04-25       Impact factor: 3.007

7.  Factor Analysis of the Prediction of the Postpartum Depression Screening Scale.

Authors:  Mei Cai; Yiming Wang; Qian Luo; Guo Wei
Journal:  Int J Environ Res Public Health       Date:  2019-12-10       Impact factor: 3.390

8.  Nutritional assessments in pregnancy and the risk of postpartum depression in Chinese women: A case-control study.

Authors:  Dan Shi; Guo-Hua Wang; Wen Feng
Journal:  Medicine (Baltimore)       Date:  2020-08-14       Impact factor: 1.817

  8 in total

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