For: | Chen L, Shi Y. Analysis of influencing factors and the construction of predictive models for postpartum depression in older pregnant women. World J Psychiatry 2023; 13(12): 1079-1086 [PMID: 38186720 DOI: 10.5498/wjp.v13.i12.1079] |
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URL: | https://www.wjgnet.com/2220-3206/full/v13/i12/1079.htm |
Number | Citing Articles |
1 |
Jing Zhang, Peipei Wang, Weisen Fan, Cuixia Lin. Comparing the prevalence and influencing factors of postpartum depression in primiparous and multiparous women in China. Frontiers in Psychiatry 2024; 15 doi: 10.3389/fpsyt.2024.1479427
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2 |
Bora Moon, Hyun Kyoung Kim, Ju-Hee Nho, Hyunkyung Choi, ChaeWeon Chung, Sook Jung Kang, Ju Hee Kim, Ju-Young Lee, Sihyun Park, Gisoo Shin, Ju-Eun Song, Min Hee Lee, Sue Kim. Prevalence and factors influencing postpartum depression and its
culture-specific cutoffs for women in Asia: a scoping review. The Ewha Medical Journal 2025; 48(1) doi: 10.12771/emj.2025.e15
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3 |
Fang-Fang Wu, Hong Xu. Relationship between gestational body mass index, blood pressure variability, and postpartum depression in pregnant women with pre-eclampsia. World Journal of Psychiatry 2024; 14(12): 1868-1875 doi: 10.5498/wjp.v14.i12.1868
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4 |
Yun-Tian Xie, Yu-Jing Yang. Research fronts and researchers of <i>World Journal of Psychiatry</i> in 2023: A visualization and analysis of mapping knowledge domains. World Journal of Psychiatry 2024; 14(7): 1118-1126 doi: 10.5498/wjp.v14.i7.1118
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