کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4933527 | 1433789 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Social capital and antenatal depression among Chinese primiparas: A cross-sectional survey
ترجمه فارسی عنوان
سرمایه اجتماعی و افسردگی پس از زایمان در میان زوجین چینی: یک بررسی مقطعی
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کلمات کلیدی
افسردگی پس از زایمان، سرمایه اجتماعی شناختی، سرمایه اجتماعی ساختاری مقیاس افسردگی پس از زایمان ادینبورگ، در سه ماهه سوم،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
چکیده انگلیسی
The aim of this study is to investigate the associations between social capital and antenatal depression among Chinese primiparas. A cross-sectional design was used and a questionnaire survey was conducted with 1471 participants using the intercept method at the provincial hospital in Zhejiang in 2016. Antenatal depression was evaluated using the Edinburgh Postnatal Depression Scale (EPDS) and social capital was assessed by the Chinese version of Social Capital Assessment Questionnaire (C-SCAQ). The prevalence of antenatal depression was assessed among Chinese primiparas in their third trimesters. The antenatal depression prevalence among sub-groups with lower social trust (ST), social reciprocity (SR), social network (SN), and social participation (SP) were significantly higher than those among higher score sub-groups. In the fully adjusted model, primiparas' antenatal depression was significantly associated with ST, SR, SN, and SP. Compared to the structural social capital, the cognitive social capital was a more crucial dimension to the prevalence of antenatal depression. For future community pregnancy health care management programs in China, it might be beneficial to add more social capital related intervention.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Psychiatry Research - Volume 257, November 2017, Pages 533-539
Journal: Psychiatry Research - Volume 257, November 2017, Pages 533-539
نویسندگان
Chi Zhou, Atsushi Ogihara, Hao Chen, Weijue Wang, Liu Huang, Baodan Zhang, Xueni Zhang, Liangwen Xu, Lei Yang,