Evidence map›Paper›PMID 21904606›Full record

ArticlePloS one2011

Impact of early growth on postprandial responses in later life.

Mia-Maria Perälä, Liisa M Valsta, Eero Kajantie, Jaana Leiviskä, Johan G Eriksson

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Mia-Maria PeräläDepartment of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki, Finland. mia.perala@thl.fi
Liisa M Valsta
Eero Kajantie
Jaana Leiviskä
Johan G Eriksson

Funding

British Heart Foundation
6 · The paper itself

Abstract

backgroundLow birth weight and slow growth during infancy are associated with increased rates of chronic diseases in adulthood. Associations with risk factors such as fasting glucose and lipids concentrations are weaker than expected based on associations with disease. This could be explained by differences in postprandial responses, which, however, have been little studied. Our aim was to examine the impact of growth during infancy on postprandial responses to a fast-food meal (FF-meal) and a meal, which followed the macro-nutrient composition of the dietary guidelines (REC-meal). METHODOLOGY/PRINCIPAL

findingsWe recruited 24 overweight 65-75 year-old subjects, 12 with slow growth during infancy (SGI-group) and 12 with normal early growth. All the subjects were born at term. The study meals were isocaloric and both meals were consumed once. Plasma glucose, insulin, triglycerides (TG) and free fatty acids (FFA) were measured in fasting state and over a 4-h period after both meals. Subjects who grew slowly during infancy were also smaller at birth. Fasting glucose, insulin or lipid concentrations did not differ significantly between the groups. The TG responses were higher for the SGI-group both during the FF-meal (P = 0.047) and the REC-meal (P = 0.058). The insulin responses were significantly higher for the SGI-group after the FF-meal (P = 0.036). Glucose and FFA responses did not differ significantly between the groups.

conclusionsSmall birth size and slow early growth predict postprandial TG and insulin responses. Elevated responses might be one explanation why subjects who were small at birth and experiencing slow growth in infancy are at an increased risk of developing cardiovascular diseases in later life.

Indexed as

AgedBirth WeightBlood GlucoseChild DevelopmentFatty Acids, NonesterifiedFemaleHumansInfantInfant, NewbornInsulinMaleOverweightPostprandial PeriodTriglyceridesBlood GlucoseFatty Acids, NonesterifiedInsulinTriglycerides

Identifiers

PMID21904606
PMCPMC3164134

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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.