Evidence map›Paper›PMID 41782099›Full record

ArticleBMC pregnancy and childbirth2026

Postpartum depressive symptoms and associated factors among women with lactation mastitis: a cross-sectional study.

Jianrong Li, Yiming Hou, Nana Chen, Yingyi Fan, Xiaohua Pei

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jianrong Li *Department of Chinese Surgery, Beijing University of Chinese Medicine, Beijing, 100029, China.
Yiming Hou *Department of Chinese Surgery, Beijing University of Chinese Medicine, Beijing, 100029, China.
Nana ChenDepartment of Breast Surgery, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, 100029, China.
Yingyi FanDepartment of Breast Surgery, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, 100029, China. fan38898901@126.com.
Xiaohua PeiDepartment of Breast Surgery, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, 100029, China. hl0002@bucm.edu.cn.

Funding

Beijing Municipal Health Commission (BMHC) No. 2018-7032
6 · The paper itself

Abstract

backgroundLactation mastitis is a common complication during breastfeeding that can negatively impact maternal well-being and breastfeeding continuation. While the physical manifestations of lactation mastitis have been widely studied, its psychological burden and related contributing factors among affected women have received comparatively less attention. This study aimed to investigate postpartum depressive symptoms and associated factors in women diagnosed with lactation mastitis.

methodsA cross-sectional survey was conducted among 87 women with lactation mastitis at a tertiary hospital in China. Participants completed a structured questionnaire encompassing five domains: demographics and perinatal history, personal and breast history, psychological and emotional state, breastfeeding practices and nipple condition, and infant characteristics and interaction. Postpartum depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS). Descriptive statistics, group comparisons, multivariable logistic regression, and sensitivity analyses were used to identify factors associated with elevated EPDS scores.

resultsOverall, 49.4% of participants scored above the clinical threshold for postpartum depressive symptoms on the EPDS. Multivariable logistic regression identified emotional tension during breastfeeding (odds ratio[OR] = 6.807, P = 0.016), younger maternal age (OR = 0.794, P = 0.023), vaginal delivery (OR = 3.382, P = 0.032), and pacifier use (OR = 5.103, P = 0.006) as independent correlates of elevated depressive symptoms. These associations remained robust across sensitivity analyses.

conclusionsWomen with lactation mastitis appear to be at heightened risk of postpartum depressive symptoms and are associated with both maternal and infant-related factors. Early identification of psychological distress, combined with integrated breastfeeding and mental health support, may help address maternal needs and enhance postpartum care.

Indexed as

Breast FeedingDepression, PostpartumLactationMastitisAdultChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaternal AgePsychiatric Status Rating ScalesRisk FactorsSurveys and QuestionnairesYoung AdultBreastfeeding behaviorCross-sectional studyEdinburgh postnatal depression scale (EPDS)Emotional distressLactation mastitisMaternal mental healthPostpartum depressive symptoms

Identifiers

PMID41782099
PMCPMC13067529

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.