Literature DB >> 24507649

Prevalence and risk factors of postpartum depression in a population-based sample of women in Tangxia Community, Guangzhou.

Ai-Wen Deng1, Ri-Bo Xiong1, Ting-Ting Jiang1, Ying-Ping Luo1, Wang-Zhong Chen2.   

Abstract

OBJECTIVE: To investigate the prevalence and analyze the risk factors of postpartum depression (PPD) in Tangxia Community, Guangzhou, a community representative of the process of urbanization in China.
METHODS: A total of 1 823 delivery women in Tangxia Community, Guangzhou were screened with the Chinese Version of Edinburgh Postnatal Depression Scale, Hamilton Depression Scale and Social Support Rating Scale. The risk factors were evaluated by self-made questionnaire based on literature interview combined with expert consultation. The data collected were analyzed using Student's t test and logistic regression in SPSS16.0.
RESULTS: The prevalence of PPD in Tangxia Community, Guangzhou was 27.37%. Mutivariant logistic regression analysis identified mode of delivery, puerperant from one-child family, relationship between mother-in-law and daughter-in-law and fetus gender as the risk factors of PPD while housing condition was negatively correlated with the incidence of PPD with OR value of 0.82.The the total score of social support rating scale, the score of objective support, subjective support and social utilization degree were significantly reduced in women with PPD in contrast with women without PPD.
CONCLUSIONS: The incidence of PPD was slightly higher than other regions of China. It's of great importance to distinguish risk factors in regional culture context and develop health promotion program in order to enhance the well-being of delivery women.
Copyright © 2014 Hainan Medical College. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Postpartum depression; Prevalence; Risk factors

Mesh:

Year:  2014        PMID: 24507649     DOI: 10.1016/S1995-7645(14)60030-4

Source DB:  PubMed          Journal:  Asian Pac J Trop Med        ISSN: 1995-7645            Impact factor:   1.226


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