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Record W4413276822 · doi:10.1186/s12889-025-23838-2

Bikeability cycle training: a route to increasing young people’s subjective wellbeing? A retrospective cohort study

2025· article· en· W4413276822 on OpenAlexaff
Daniel T. Bishop, Aina Digaeva

Bibliographic record

VenueBMC Public Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsBishop's University
Fundersnot available
KeywordsBiostatisticsMedicineRetrospective cohort studyPublic healthEpidemiologyCohort studyCohortGerontologyEnvironmental healthNursingSurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Increasing the population's subjective wellbeing is an explicit aim of current UK government policies. The wellbeing of children and young people in the UK is deteriorating, and less than half of them meet national physical activity guidelines, despite the demonstrable benefits of physical activity for wellbeing. Hence, it is important to identify economically viable and effective public health interventions to increase young people's physical activity, and consequently, their wellbeing. Bikeability cycle training may be such an intervention. METHODS: 205 young people aged 11-18 years in UK secondary schools completed an online survey about their subjective wellbeing, their active travel behaviour, and their physical activity levels. They also indicated whether they had undertaken Bikeability Level 2 cycle training when they were between 9 and 11 years of age; retrospective groups were formed on this basis. Their parents/carers (hereafter, 'parents') reported their own cycle training status, their active travel behaviour, and their satisfaction with their living circumstances, both at the time of the survey and when their child was 10 years old (Bikeability Level 2 cycle training is delivered to 9-11-year-olds). After screening, complete datasets from 201 young person-parent dyads were retained for analysis. FINDINGS: Continuous data were analysed via t tests, ANOVAs and nonparametric equivalents; categorical data were analysed using chi-square tests. One hundred-and-thirteen young people who had completed Bikeability Level 2 cycle training reported greater subjective wellbeing than the 88 individuals who had not, on two established measures of wellbeing. They were also more likely to make journeys by cycling and walking, although there were no between-group differences in self-reported moderate-to-vigorous physical activity, sedentariness, nor attitudes towards cycling. Young people who cycled at least once a week reported greater wellbeing than those who never cycled or who only did so once or so a year. Parents who had completed cycle training cycled more frequently than their untrained counterparts, although no differences in walking frequency emerged. Young person and parent attitudes towards cycling were correlated, as were parents' satisfaction with their current living circumstances and the young people's subjective wellbeing. CONCLUSIONS: The present data suggest that Bikeability Level 2 graduates are more likely to report greater subjective wellbeing, and to travel by cycling or walking, than those who did not complete Bikeability training. Given the multiple benefits that active travel may confer to a wellbeing economy, these findings warrant further investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.349
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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