ReviewArchives of disease in childhood2007
Assessing the population impact of low rates of breast feeding on asthma, coeliac disease and obesity: the use of a new statistical method.
Review in Archives of disease in childhood, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- A systematic review of maternal obesity and breastfeeding intention, initiation and duration.BMC pregnancy and childbirth · 2007Pooled it
- Investigating the influence of breastfeeding on asthma in children under 12 years old in the UK Biobank.Frontiers in immunology · 2022Article
- Intestinal Microbiota in Common Chronic Inflammatory Disorders Affecting Children.Frontiers in immunology · 2021Review
- Genetic and Environmental Contributors for Celiac Disease.Current allergy and asthma reports · 2019Review
- Assessing the population impact of low rates of vitamin D supplementation on type 1 diabetes using a new statistical method.JRSM open · 2016Article
- Race/ethnic disparities in early childhood BMI, obesity and overweight in the United Kingdom and United States.International journal of obesity (2005) · 2015Article
- Effect of the timing of gluten introduction on the development of celiac disease.World journal of gastroenterology · 2010Review
- An ecological systems approach to examining risk factors for early childhood overweight: findings from the UK Millennium Cohort Study.Journal of epidemiology and community health · 2009Article
- Communicating the benefits of breast feeding.Archives of disease in childhood · 2007Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLack of breast feeding has been reported to be associated with a number of chronic childhood disorders.
aimTo use a recently described measure, the population impact number of eliminating a risk factor over a time period (PIN-ER-t), to quantify the burden of low rates of breast feeding in a UK population of babies born in 2002 with regard to asthma, coeliac disease and obesity.
methodsWe performed literature searches for systematic reviews with meta-analyses that had investigated the association between breast feeding and asthma, coeliac disease and obesity. Based on these data, and published data on the prevalence of breast feeding and the prevalence of the disorders, we calculated PIN-ER-t and estimated the number of cases of each disorder which could be prevented by eliminating "no breast feeding" as a risk factor.
resultsIn the population of the 596 122 babies born in England and Wales in 2002, the number of cases of asthma, coeliac disease and obesity that could be prevented over 7-9 years if "no breast feeding" as a risk factor was eliminated were 33 100 (95% CI 17,710 to 47,543), 2655 (95% CI 1937 to 3343) and 13639 (95% CI 7838 to 19308), respectively.
conclusionsThe population burden of low breast feeding rates is high with regard to these chronic disorders. The use of PIN-ER-t allows the population burden of low breast feeding rates to be quantified and communicated in a way that will make it easier for both the general public and decision makers to understand.
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Registered trials
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.