Evidence map›Paper›PMID 35390044›Full record

ArticlePloS one2022

Determinants of breastfeeding self-efficacy among postpartum women in rural China: A cross-sectional study.

Linhua Li, Yuju Wu, Qingzhi Wang, Yefan Du, Dimitris Friesen, Yian Guo, Sarah-Eve Dill, Alexis Medina, Scott Rozelle, Huan Zhou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Exclusive breastfeeding after breast cancer. Case study.Investigacion y educacion en enfermeria · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Linhua LiDepartment of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-8200-4600
Yuju WuDepartment of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Qingzhi WangDepartment of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yefan DuDepartment of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Dimitris FriesenStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, United States of America.
Yian GuoStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, United States of America.
Sarah-Eve DillStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, United States of America.
Alexis MedinaStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, United States of America.
Scott RozelleStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, United States of America.
Huan ZhouDepartment of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-6709-5134
Sichuan University · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreastfeeding self-efficacy is known to positively influence breastfeeding behaviors. While previous research has studied the determinants of breastfeeding self-efficacy in general, these determinants are unstudied among postpartum women in rural China. This study aims to describe the breastfeeding self-efficacy of postpartum women in rural China and identify determinants of breastfeeding self-efficacy using the Dennis breastfeeding self-efficacy framework.

methodsUsing a multi-stage random cluster sampling design, cross-sectional survey data were collected from 787 women within the 0-6 months postpartum period in 80 rural townships. Surveys collected data on breastfeeding self-efficacy, characteristics related to the Dennis breastfeeding self-efficacy framework, and demographic characteristics. Multiple linear regression analysis was used to identify determinants of breastfeeding self-efficacy.

resultsParticipants reported a moderate level of breastfeeding self-efficacy, with an item mean score of 3.50. Self-efficacy was lowest for exclusive breastfeeding. Breastfeeding attitudes (β = 0.088, P< 0.001), breastfeeding family support (β = 0.168, P< 0.001), and social support from significant others (β = 0.219, P< 0.001) were positively associated with breastfeeding self-efficacy. Breastfeeding problems, including trouble with latching (β = -0.170, P< 0.001), not producing enough milk (β = -0.148, P< 0.001), and milk taking too long to secrete (β = -0.173, P< 0.001) were negatively associated with breastfeeding self-efficacy.

conclusionThe findings indicate that positive attitudes, breastfeeding family support and social support contribute to greater breastfeeding self-efficacy in rural China, whereas difficulties with breastfeeding are associated with reduced self-efficacy. Researchers and practitioners should investigate effective strategies to improve social support and family support for breastfeeding, promote positive attitudes towards breastfeeding, and provide women with actionable solutions to breastfeeding problems.

Indexed as

Breast FeedingSelf EfficacyChinaCross-Sectional StudiesFemaleHumansMothersPostpartum PeriodSurveys and Questionnaires

Identifiers

PMID35390044
PMCPMC8989199
OpenAlexW4226086476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.