Evidence map›Paper›PMID 34232374›Full record

ArticleEuropean journal of nutrition2022

Longitudinal associations between prepubertal childhood total energy and macronutrient intakes and subsequent puberty timing in UK boys and girls.

Tuck Seng Cheng, Stephen J Sharp, Soren Brage, Pauline M Emmett, Nita G Forouhi, Ken K Ong

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Biological Benchmarks for Adult Bone Mass Proportions in Young Females: A Prospective Longitudinal Analysis.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  5. Review
  6. Article
  7. Article
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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

6 authors at 2 institutions in 1 country.

Tuck Seng ChengMRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus Box 285, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0003-4442-7332
Stephen J SharpMRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus Box 285, Cambridge, CB2 0QQ, UK.
Soren BrageMRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus Box 285, Cambridge, CB2 0QQ, UK.
Pauline M EmmettBristol Medical School, Centre for Academic Child Health, University of Bristol, Bristol, UK.
Nita G ForouhiMRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus Box 285, Cambridge, CB2 0QQ, UK.
Ken K OngMRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus Box 285, Cambridge, CB2 0QQ, UK. Ken.Ong@mrc-epid.cam.ac.uk.
University of Cambridge · GBUniversity of Bristol · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00006/2Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_00006/4Medical Research Council MC_UU_12015/5the Medical Research Council MC_UU_00006/2the Medical Research Council MC_UU_00006/3the Medical Research Council MC_UU_00006/4the NIHR Biomedical Research Centre Cambridge: Nutrition, Diet, and Lifestyle Research Theme IS-BRC-1215-20014
6 · The paper itself

Abstract

purposeEarly puberty is associated with adverse health outcomes. To identify potential modifiable factors for puberty timing, we examined the associations of prepubertal childhood macronutrient intakes with puberty timing in boys and girls.

methodsIn the Avon Longitudinal Study of Parents and Children, macronutrient intakes at age 6 years were predicted using random intercepts linear regression models of dietary data at 3, 4, 7 (assessed by food frequency questionnaires) and 7.5 years (by 3-day food diaries). Timings of puberty onset (Tanner stage 2 genital or breast (B2) development) and puberty completion (voice breaking (VB) or menarche) were calculated from annual parental and child reports at 8-17 years. Age at peak height velocity (PHV) was derived from repeated height measurements at 5-20 years. Linear regression models were fit to estimate the associations of total energy (TEI) and macronutrient intakes (carbohydrate, fat, protein) with puberty timing traits, adjusting for maternal and infant characteristics.

resultsAmong 3811 boys, higher TEI, but no macronutrient, was associated with earlier VB. Among 3919 girls, higher TEI was associated with earlier ages at B2, PHV, and menarche. Higher protein intake but not carbohydrate or fat intake (in energy partition models) and substitution of dietary protein for carbohydrate (in nutrient density and residual models) was associated with earlier B2, PHV, and menarche in girls. Findings were not attenuated on additional adjustment for body fat percentage during adolescence.

conclusionsThese findings suggest habitual total energy intakes in children, and protein intakes in girls, as potential modifiable determinants of puberty timing.

Indexed as

MenarchePubertyChildEatingFemaleHumansLongitudinal StudiesMaleUnited KingdomALSPACDietary intakeProspective studyProteinPuberty timingRandom intercepts model

Identifiers

PMID34232374
PMCPMC8783855
OpenAlexW3178441236

What OpenQuestion holds

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LicenceCC BY
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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.