Evidence map›Paper›PMID 33675341›Full record

SynthesisThe American journal of clinical nutrition2021

Maternal BMI is positively associated with human milk fat: a systematic review and meta-regression analysis.

Allison I Daniel, Sara Shama, Samantha Ismail, Celine Bourdon, Alex Kiss, Martha Mwangome, Robert H J Bandsma, Deborah L O'Connor

Erratum issuedAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The American journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Observational
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  11. Observational
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  14. Review
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  16. Article
  17. Deciphering macronutrient information about human milk.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  18. Article
  19. Role of breastfeeding in disease prevention.Microbial biotechnology · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Allison I DanielCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Sara ShamaTranslational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Samantha IsmailTranslational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Celine BourdonTranslational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Alex KissDepartment of Research Design and Biostatistics, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Martha MwangomeThe Childhood Acute Illness & Nutrition Network (CHAIN), Nairobi, Kenya.
Robert H J BandsmaCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Deborah L O'ConnorTranslational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of robust estimates of human-milk nutrient composition and influential maternal factors, such as body composition, are barriers to informing nutrition policies and programs.

objectiveThe objective was to understand the relation between maternal BMI and human-milk energy, fat, and/or total protein.

methodsFour electronic databases (MEDLINE, Embase, CINAHL, and Web of Science) were searched. Outcomes assessed were human-milk energy (kcal/L), fat (g/L), and total protein (g/L) from mothers 1 to 6 mo postpartum. Studies with data on maternal BMI or weight and height that quantified human-milk energy, fat, or protein between 1 and 6 mo postpartum were eligible. Random-effects meta-regression weighted by the inverse of the study-level SE was completed for each of the 3 outcomes. The certainty of evidence for each outcome was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach.

resultsA total of 11,373 titles and abstracts were identified, and after full-text screening, 69 articles of 66 studies were included. Meta-regression results showed a positive association between maternal BMI and human-milk fat (β: 0.56 g/L; 95% CI: 0.034, 1.1; P = 0.04; I2 = 93.7%, n = 63 datapoints). There was no significant association between maternal BMI and human-milk energy (β: 3.9 kcal/L; 95% CI: -1.6, 9.5; P = 0.16, I2 = 93.3%, n = 40 datapoints) or total protein (β: 0.13 g/L; 95% CI: -0.16, 0.41; P = 0.37, I2 = 99.1%, n = 40 datapoints). The certainty of evidence for human-milk energy was low and the certainty of evidence for fat and total protein was very low.

conclusionsMeta-regression analysis of available literature suggested an association between maternal BMI and human-milk fat between 1 and 6 mo postpartum. Future studies are needed to confirm the relation between maternal BMI; variation in human-milk energy, fat, and protein content; and the implications for child growth and development. This review is registered with International Prospective Register of Systematic Reviews (PROSPERO 2018 CRD42018098808) at https://www.crd.york.ac.uk/prospero/.

Indexed as

Body Mass IndexFatsFemaleHumansLactoseMilk, HumanMilk ProteinsFatsLactoseMilk ProteinsBMIbreast milkbreastmilkmacronutrientmaternal nutritional statusmeta-analysis

Identifiers

PMID33675341
PMCPMC8023843

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.