Evidence map›Paper›PMID 37949499›Full record

ArticleBMJ global health2023

How the marketing practices of commercial milk formula companies impact infant breastfeeding practices in China.

Zhonghai Zhu, Anuradha Narayan, Shuyi Zhang, Liang Wang, Yingze Zhu, Wenfang Yang, Yue Cheng, Lingxia Zeng, Suying Chang

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Zhonghai ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Anuradha NarayanNutrition and Child Development Section, United Nations Children's Fund, Headquarters, New York, New York, USA.
Shuyi ZhangDepartment of Integrated Early Child Development, Capital Institute of Pediatrics, Beijing, China.
Liang WangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.ORCID 0009-0001-0680-1621
Yingze ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.ORCID 0000-0001-5571-704X
Wenfang YangDepartment of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0001-7799-5008
Yue ChengDepartment of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China tjzlx@mail.xjtu.edu.cn schang@unicef.org.
Suying ChangChina Health Development Section, United Nations Children's Fund, Office for China, Beijing, China tjzlx@mail.xjtu.edu.cn schang@unicef.org.
Xi'an Jiaotong University · CNUnited Nations Children's Fund · USCapital Institute of Pediatrics · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe marketing practices used by commercial milk formula (CMF) companies undermine breast feeding. However, it remains unclear how specific types of marketing practices result in suboptimal breast feeding.

objectivesWe aimed to examine the associations of CMF marketing practices with breastfeeding outcomes, determine the influencing pathways, how it changes the perceptions and attitudes of mothers towards CMF, and how it impacts breastfeeding outcomes.

methodsA cross-sectional survey was conducted in Beijing and Jinan, China that mapped the CMF marketing practices in 2020. Mothers were interviewed about the feeding practices for the youngest child under the age of 18 months. Maternal attitude towards CMF was assessed using a set of five questions. Six common CMF marketing practices were reviewed. A logistic regression was performed to examine the associations between the CMF marketing practices and predominant breast feeding, with adjustments for maternal age, education, occupation, socioeconomic class and caesarean section. Furthermore, a path analysis was conducted to explore the pathways between the CMF marketing practices, maternal attitude towards CMF and predominant breast feeding.

resultsA total of 750 mothers were interviewed, with 20.0% of mothers predominantly breast feeding their young children. Two marketing practices, online engagement with CMF companies and promotions and discounts, were statistically associated with a lower likelihood of predominant breast feeding, with an adjusted ORs of 0.53 (95% CI 0.35 to 0.82) and 0.45 (95% CI 0.22 to 0.92). Furthermore, per CMF marketing practice increase mothers concurrently exposed to was associated with a 0.79 (95% CI 0.68 to 0.92) times lower likelihood of predominant breast feeding. In addition, online engagement and free formula samples distributed in hospitals had indirect effects on suboptimal breastfeeding outcomes, which was partly mediated by positive maternal attitude towards CMF.

conclusionsCMF marketing practices were associated with a lower likelihood of optimal breastfeeding through influencing the maternal attitude towards CMF.

Indexed as

Breast FeedingMilkAnimalsCesarean SectionChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMarketingPregnancyChild healthMaternal healthNutritionPaediatricsPublic Health

Identifiers

PMID37949499
PMCPMC10649769
OpenAlexW4388557136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.