Evidence map›Paper›PMID 26740922›Full record

ArticleJournal of transport & health2015

The tracking of active travel and its relationship with body composition in UK adolescents.

Catherine L Falconer, Sam D Leary, Angie S Page, Ashley R Cooper

Open access · hybridAbstract read
In one paragraph

Article in Journal of transport & health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Impact of COVID-19 on adolescent travel behavior.Journal of transport & health · 2022
    Article
  5. Article
  6. Evidence of moderation effects in predicting active transport to school.Journal of public health (Oxford, England) · 2017
    Article
  7. 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

4 authors at 3 institutions in 1 country.

Catherine L FalconerNational Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Diet and Lifestyle, Level 3 University Hospitals Bristol Education and Research Centre, Upper Maudlin Street, BS2 8AE, Bristol, UK; Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, 8 Priory Road, University of Bristol, BS8 1TZ, Bristol, UK.
Sam D LearyNational Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Diet and Lifestyle, Level 3 University Hospitals Bristol Education and Research Centre, Upper Maudlin Street, BS2 8AE, Bristol, UK.
Angie S PageCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, 8 Priory Road, University of Bristol, BS8 1TZ, Bristol, UK.
Ashley R CooperNational Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Diet and Lifestyle, Level 3 University Hospitals Bristol Education and Research Centre, Upper Maudlin Street, BS2 8AE, Bristol, UK; Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, 8 Priory Road, University of Bristol, BS8 1TZ, Bristol, UK.
National Institute for Health Research · GBNIHR Bristol Biomedical Research Centre · GBUniversity of Bristol · GB

Funding

Medical Research Council MC_PC_15018Wellcome Trust 102215
6 · The paper itself

Abstract

backgroundTo examine the tracking of active travel through adolescence, and its association with body mass index (BMI) and fat mass at age 17 in a UK cohort.

methodsWe analysed data collected from the Avon Longitudinal Study of Parents and Children (ALSPAC). The analyses include all participants with self-reported travel mode to school at ages 12, 14 and 16 years, and measured height, weight and body composition at age 17 (

resultsThere was substantial tracking in active travel through adolescence, with 38.5% of males and 32.3% of females consistently walking or cycling to school. In males, a consistently or predominantly active travel pattern was associated with a lower BMI SD score at age 17 (consistently active: adjusted

conclusionsMaintenance of active travel behaviours throughout adolescence may help to protect against the development of excess BMI in males. In addition to encouraging the adoption of active travel to school, public health messages should aim to prevent drop out from active travel to promote good health in youth.

Indexed as

Active travelAdolescenceBody compositionCyclingSchoolWalking

Identifiers

PMID26740922
PMCPMC4675616
OpenAlexW1918931657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.