Evidence map›Paper›PMID 36249487›Full record

ArticleBMJ open sport & exercise medicine2022

Impact of electrically assisted bicycles on physical activity and traffic accident risk: a prospective observational study.

Sven Haufe, Hedwig Theda Boeck, Sebastian Häckl, Johanna Boyen, Momme Kück, Clara Catharina van Rhee, Johann-Matthias Graf von der Schulenburg, Jan Zeidler, Torben Schmidt, Heiko Johannsen and 3 more

Abstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Sven Haufe *Institute of Sports Medicine, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-5259-4352
Hedwig Theda Boeck *Institute of Sports Medicine, Hannover Medical School, Hannover, Germany.
Sebastian HäcklInstitute of Biostatistics, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-9806-0495
Johanna BoyenInstitute of Sports Medicine, Hannover Medical School, Hannover, Germany.
Momme KückInstitute of Sports Medicine, Hannover Medical School, Hannover, Germany.
Clara Catharina van RheeInstitute of Sports Medicine, Hannover Medical School, Hannover, Germany.
Johann-Matthias Graf von der SchulenburgCenter for Health Economics Research Hannover, Leibniz University Hannover, Hannover, Germany.
Jan ZeidlerCenter for Health Economics Research Hannover, Leibniz University Hannover, Hannover, Germany.
Torben SchmidtCenter for Health Economics Research Hannover, Leibniz University Hannover, Hannover, Germany.
Heiko JohannsenAccident Research Unit, Hannover Medical School, Hannover, Germany.
Dennis HolzwartInstitute of Biostatistics, Hannover Medical School, Hannover, Germany.
Armin KochInstitute of Biostatistics, Hannover Medical School, Hannover, Germany.
Uwe TegtburInstitute of Sports Medicine, Hannover Medical School, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electrically assisted bicycles (e-bikes) have become increasingly popular and may facilitate active commuting and recreational cycling. Objective: To evaluate the physical activity levels and usage characteristics of e-bikers and conventional cyclists under real-world conditions. Methods: We conducted a prospective observational study in Germany to examine the effects of e-biking compared with conventional cycling on reaching the World Health Organization (WHO) target for physical activity-at least 150 min of moderate-to-vigorous physical activity (MVPA) per week. Study participants (1250 e-bikers and 629 conventional bike users) were equipped with activity trackers to assess the time, distance and heart rate during cycling over four consecutive weeks. Questionnaires were used to assess any traffic accidents incurred over 12 months. Results: The proportion of participants reaching 150 min of MVPA per week was higher for conventional bike users than for e-bike users (35.0% vs 22.4%, p<0.001). In a multiple regression model, the odds of reaching the physical activity target were lower for e-biking than for conventional biking (OR=0.56; 95% CI 0.43 to 0.72) with age, sex, comorbidities and bike usage patterns as confounding factors. No significant differences were observed between bike groups for traffic accidents, yet when controlled for cycling time and frequency of cycling e-bikers had a higher risk of a traffic accident (OR=1.63; 95% CI 1.02 to 2.58). Conclusion: E-bikes are associated with a lower probability of reaching WHO targets for MVPA due to reduced duration and a reduced cardiovascular effort during riding. However, e-bikes might facilitate active transportation, particularly in older individuals or those with pre-existing conditions.

Indexed as

accelerometercyclingenvironmentphysical activityprevention

Identifiers

PMID36249487
PMCPMC9558802

What OpenQuestion holds

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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.