Evidence map›Paper›PMID 41634194›Full record

ArticleScientific reports2026

The association between nausea and vomiting of pregnancy and postpartum depression symptoms: a longitudinal study.

Hongling Zhang, Siyi San, Xingjuan Ding, Yuanyuan Li, Yican Deng, Mengmeng Luo, Hui Zhou, Dongmei Qiu, Haiyun Huang, Xiaoyu Guo and 2 more

Abstract read
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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hongling ZhangSchool of Health and Nursing, Wuchang University of Technology, Wuhan, 430000, Hubei, China. zhl1965@whpu.edu.cn.
Siyi San *School of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Xingjuan Ding *Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yuanyuan LiKey Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yican DengSchool of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Mengmeng LuoSchool of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Hui ZhouSchool of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Dongmei QiuSchool of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Haiyun HuangSchool of Medicine and Health, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Xiaoyu GuoSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Zejun YuSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.
Lingyun XuSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, Hubei, China.

Funding

the Philosophy and Social Science Research Project of the Education Department of Hubei Province 19D057
6 · The paper itself

Abstract

To investigate the incidence of nausea and vomiting of pregnancy (NVP) and postpartum depression symptoms (PPDS) in Wuhan, and to explore the relationship between different degrees of NVP and PPDS. 3061 pregnant women who underwent admission check-ups, delivery, and postpartum follow-up at the Women and Children's Hospital of Wuhan between October 2016 and October 2019 were selected for this study. NVP in the first trimester was assessed by a single question in the questionnaire. PPDS was assessed using the Edinburgh Postnatal Depression Scale (EPDS). Binary logistic regression models were used to estimate the risk of different degrees of NVP and PPDS. (1) The detection rate of NVP in early pregnancy and PPDS was 64.0% and 16.0%. (2) The detection rate of depressive symptoms at 1 and 6 months postpartum was 16.8% and 13.6%, respectively. (3) Binary logistic regression analysis revealed that severe NVP increased the risk of PPDS at 1 and 6 months postpartum. After adjusting for covariates, pregnant women with severe NVP had a 2.39-fold (95% CI 1.18-4.84) and 2.66-fold (95% CI 1.20-5.93) risk of developing PPDS 1 month and 6 months after delivery, respectively, compared with those without NVP. The incidence of NVP in the first trimester and PPDS in Wuhan is consistent with previous literature. Severe NVP in the first trimester is associated with an increased risk of depression at 1 and 6 months postpartum.

Indexed as

Depression, PostpartumNauseaVomitingAdultChinaFemaleHumansIncidenceLogistic ModelsLongitudinal StudiesPregnancyEdinburgh postnatal depression scoreNausea and vomiting of pregnancyPostpartum depression symptoms

Identifiers

PMID41634194
PMCPMC12920628

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