Evidence map›Paper›PMID 22957219›Full record

ArticleJournal of nutrition and metabolism2012

Sources of Dietary Fiber and the Association of Fiber Intake with Childhood Obesity Risk (in 2-18 Year Olds) and Diabetes Risk of Adolescents 12-18 Year Olds: NHANES 2003-2006.

Mary Brauchla, Wenyen Juan, Jon Story, Sibylle Kranz

Open access · goldAbstract read
In one paragraph

Article in Journal of nutrition and metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
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  4. The benefits of dietary fiber: the gastrointestinal tract and beyond.Pediatric nephrology (Berlin, Germany) · 2023
    Review
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  10. What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review.International journal of environmental research and public health · 2019
    Review
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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

4 authors at 2 institutions in 1 country.

Mary BrauchlaDepartment of Nutrition Science, Purdue University, 204 Stone Hall, 700 W. State Street, West Lafayette, IN 47907, USA.
Wenyen Juan
Jon Story
Sibylle Kranz
State Street (United States) · USCenter for Food Safety and Applied Nutrition · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased fiber intake has been linked with lower risk of overweight and obesity in adults, but data are sparse for children. To address this issue, NHANES 2003-2006 data was used to evaluate (1) the food sources of fiber in children, (2) the dietary fiber density levels and risk of being classified as overweight/obese, and (3) the association between fiber intake level and impaired glucose metabolism in children. Analyses were restricted to the subsample of children with biological plausible diet reports (N = 4,667) and stratified by 2-11 year olds (n = 2072) and 12-18 year olds (n = 2595). Results showed that the food sources are predominantly foods that are low in dietary fiber, but are consumed at high levels. In 2-18 year old plausible reporters, the risk for overweight/obesity decreased by 17% from children in the medium tertile of fiber density intake compared to the lowest tertile (OR = 0.83, P value = 0.043) and by 21% between the highest compared to the lowest tertile (OR = 0.79, P value = 0.031). There was a protective effect of being in the medium tertile of dietary fiber density (OR = 0.68, P value <0.001) on impaired glucose metabolism. These results indicate a beneficial effect of higher fiber density in children's diets.

Identifiers

PMID22957219
PMCPMC3432551
OpenAlexW2025222862

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Registered trials

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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.