Evidence map›Paper›PMID 38219793›Full record

ArticleInternational journal of epidemiology2024

Does cycle commuting reduce the risk of mental ill-health? An instrumental variable analysis using distance to nearest cycle path.

Laurie Berrie, Zhiqiang Feng, David Rice, Tom Clemens, Lee Williamson, Chris Dibben

Abstract read
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Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Laurie BerrieSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-3550-5087
Zhiqiang FengSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.
David RiceNational Records of Scotland, Scotland's Census-Geography, Edinburgh, UK.
Tom ClemensSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6979-0026
Lee WilliamsonSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.
Chris DibbenSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1769-3774

Funding

ESRC
6 · The paper itself

Abstract

backgroundPrevious studies have linked cycling with improved mental wellbeing but these studies tend to use cross-sectional survey data that have small sample sizes and self-reported health measures, and are potentially susceptible to omitted-variable bias and reverse causation. We use an instrumental variable approach and an objective measure of mental ill-health taken from linked administrative data to ask: 'Does cycle commuting reduce the risk of mental ill-health?'

methodsOur study links data on commuting in Edinburgh and Glasgow from the Scottish population census with mental health prescriptions from the National Health Service Prescribing Information System records. We use road distance from home to nearest cycle path as an instrumental variable for cycle commuting.

resultsIn total, 378 253 people aged 16-74 years living and working in the City of Edinburgh and Glasgow City council areas at the 2011 census were included in our study; 1.85% of commuters in Glasgow and 4.8% of commuters in Edinburgh cycled to work. Amongst cyclists, 9% had a prescription for mental health compared with 14% amongst non-cyclists. Using a bivariate probit model, we estimate a mean average reduction in prescriptions for antidepressants and/or anxiolytics in the 5 years following the census of -15.1% (95% CI: -15.3% to -15.0%) amongst cycle commuters compared with those who use any other mode to commute.

conclusionsThis work suggests that cycle commuting is causally related to reduced mental ill-health and provides further evidence in support of the promotion of active travel to encourage commuters travelling shorter distances to shift to cycle commutes.

Indexed as

Mental HealthState MedicineCross-Sectional StudiesHumansTransportationWalkingactive travelCommutingcycle commutingcyclinginstrumental variable analysismental health

Identifiers

PMID38219793
PMCPMC10859133

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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.