Evidence map›Paper›PMID 36434642›Full record

ArticleInternational breastfeeding journal2022

Exclusive breastfeeding rate and related factors among mothers within maternal health WeChat groups in Jiaxing, Zhejiang province, China: a cross-sectional survey.

Chun-Yan Fu, Xue-Juan Tang, Ling-Pei Pan, Hai-Ying Jin, Juan-Feng Yao, Li-Zhong Wang

Open access · goldAbstract read
In one paragraph

Article in International breastfeeding journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Exploring exclusive breastfeeding readiness: experiences of first-time mothers in Lusaka, Zambia.International journal of qualitative studies on health and well-being · 2025
    Article
  3. Article
  4. Article
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

6 authors at 2 institutions in 1 country.

Chun-Yan FuDepartment of Maternal Health, Jiaxing Maternity and Children Health Care Hospital, Affiliated Women and Children Hospital, Jiaxing University, Jiaxing, Zhejiang Province, China.
Xue-Juan TangDepartment of Maternal Health, Jiaxing Maternity and Children Health Care Hospital, Affiliated Women and Children Hospital, Jiaxing University, Jiaxing, Zhejiang Province, China.
Ling-Pei PanDepartment of Maternal Health, Jiaxing Xiuzhou Maternity and Children Health Care Hospital, Jiaxing, Zhejiang Province, China.
Hai-Ying JinDepartment of Public Health, Jiashan Maternity and Children Health Care Hospital, Jiaxing, Zhejiang Province, China.
Juan-Feng YaoDepartment of Maternal Health, Tongxiang Maternity and Children Health Care Hospital, Jiaxing, Zhejiang Province, China.
Li-Zhong WangDepartment of Anesthesiology, Jiaxing Maternity and Children Health Care Hospital, Affiliated Women and Children Hospital, Jiaxing University, Jiaxing, Zhejiang Province, China. jxlzw@sina.com.ORCID 0000-0002-2654-5178
Jiaxing University · CNLishui Maternity and Child Health Care Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe health workers in Jiaxing of China have established maternal health WeChat groups for maternal health education and management since 2019. Pregnant women in Jiaxing are invited to join the WeChat groups and a health worker as the group manager provides health education and individual counselling for women within the group. This study aimed to investigate the exclusive breastfeeding (EBF) status up to six months and its associated factors among the mothers of infants aged 7-12 months within the WeChat groups.

methodsThis was a cross-sectional survey on healthy mothers with infants aged 7-12 months from seven maternal health WeChat groups in October 2021 in Jiaxing, China. EBF was defined as breastfeeding infants exclusively up to six months. Data including breastfeeding practice from birth to six months, maternal sociodemographic and obstetric characteristics, hospitalization information, work related factors and reasons for non-EBF up to six months were collected using an online self-administered questionnaire. A multivariable logistic regression analysis was performed to identify the factors independently associated with EBF up to 6 months.

resultsA total of 822 mothers were included in this study. Among them, 586 mothers (71.3%) exclusively breastfed infants up to six months. Multivariable logistic regression analysis showed that older maternal age (adjusted odds ratio [AOR] 0.956; 95% confidence interval [CI] 0.917, 0.997) and perceived insufficient breast milk (AOR 0.104; 95% CI 0.072, 0.149) were associated with lower odds of EBF up to six months. The five of common reasons for non-EBF up to six months were no or insufficient breast milk (59.8%), return to work (23.9%), no flexible nursing breaks at work (18.2 %), infant crying or feeling tired or troubled with breastfeeding (9.7%), and nipple and breast problems (9.3%).

conclusionAbout 71.3% of infants were exclusively breastfed until six months of age in our WeChat groups. Perceived insufficient breast milk and work related factors are the main barriers to EBF up to six months in this setting. However, further comparative study is needed to confirm the effect of WeChat groups on breastfeeding.

Indexed as

Breast FeedingMaternal HealthChinaCross-Sectional StudiesFemaleHumansInfantMothersPregnancyCross-sectional studyExclusive breastfeedingMaternal health careWeChat application

Identifiers

PMID36434642
PMCPMC9701072
OpenAlexW4310054393

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.