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http://hdl.handle.net/1942/30354
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DC Field | Value | Language |
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dc.contributor.author | Branion-Calles, Michael | - |
dc.contributor.author | Winters, Meghan | - |
dc.contributor.author | Nelson, Trisalyn | - |
dc.contributor.author | De Nazelle, Audrey | - |
dc.contributor.author | INT PANIS, Luc | - |
dc.contributor.author | Avila-Palencia, Ione | - |
dc.contributor.author | Anaya-Boig, Esther | - |
dc.contributor.author | Rojas-Rueda, David | - |
dc.contributor.author | DONS, Evi | - |
dc.contributor.author | Götschi, Thomas | - |
dc.date.accessioned | 2020-01-21T13:51:54Z | - |
dc.date.available | 2020-01-21T13:51:54Z | - |
dc.date.issued | 2019 | - |
dc.date.submitted | 2020-01-21T08:34:45Z | - |
dc.identifier.citation | Journal of Transport & Health, 15 (Art N° ARTN 100651) | - |
dc.identifier.issn | 2214-1405 | - |
dc.identifier.uri | http://hdl.handle.net/1942/30354 | - |
dc.description.abstract | Introduction: Measuring bicycling behaviour is critical to bicycling research. A common study design question is whether to measure bicycling behaviour once (cross-sectional) or multiple times (longitudinal). The Physical Activity through Sustainable Transport Approaches (PASTA) project is a longitudinal cohort study of over 10,000 participants from seven European cities over two years. We used PASTA data as a case study to investigate how measuring once or multiple times impacted three factors: a) sample size b) participation bias and c) accuracy of bicycling behaviour estimates. Methods: We compared two scenarios: i) as if only the baseline data were collected (cross-sectional approach) and ii) as if the baseline plus repeat follow-ups were collected (longitudinal approach). We compared each approach in terms of differences in sample size, distribution of sociodemographic characteristics, and bicycling behaviour. In the cross-sectional approach, we measured participants long-term bicycling behaviour by asking for recall of typical weekly habits , while in the longitudinal approach we measured by taking the average of bicycling reported for each 7-day period. Results: Relative to longitudinal, the cross-sectional approach provided a larger sample size and slightly better representation of certain sociodemographic groups, with worse estimates of long-term bicycling behaviour. The longitudinal approach suffered from participation bias, especially the drop-out of more frequent bicyclists. The cross-sectional approach underestimated the proportion of the population that bicycled, as it captured 'typical' behaviour rather than 7-day recall. The magnitude and directionality of the difference between typical weekly (cross-sectional https://doi. | - |
dc.description.sponsorship | ThisworkwassupportedbytheEuropeanPASTAproject.PASTAisa4-yearprojectfundedbytheEuropeanUnion’sSeventhFrameworkProgramunderEuropeanCommission(GrantAgreement#602624).Thefundershadnoroleinstudydesign,analysis,orwritingofthismanuscript.MBCissupportedbyaSSHRCDoctoralFellowship.MWholdsaScholarAwardfromtheMichaelSmithFoundationforHealthResearch | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.rights | 2019 Elsevier Ltd. All rights reserved.T | - |
dc.subject.other | Bicycling | - |
dc.subject.other | Bias | - |
dc.subject.other | Exposure | - |
dc.subject.other | Survey participation | - |
dc.subject.other | Longitudinal | - |
dc.subject.other | Cross-sectional | - |
dc.subject.other | Study design | - |
dc.title | Impacts of study design on sample size, participation bias, and outcome measurement: A case study from bicycling research | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 15 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | ARTN 100651 | - |
dc.source.type | Article | - |
dc.identifier.doi | 10.1016/j.jth.2019.100651 | - |
dc.identifier.isi | WOS:000505158300017 | - |
dc.identifier.eissn | - | |
local.provider.type | - | |
local.uhasselt.uhpub | yes | - |
item.contributor | Branion-Calles, Michael | - |
item.contributor | Winters, Meghan | - |
item.contributor | Nelson, Trisalyn | - |
item.contributor | De Nazelle, Audrey | - |
item.contributor | INT PANIS, Luc | - |
item.contributor | Avila-Palencia, Ione | - |
item.contributor | Anaya-Boig, Esther | - |
item.contributor | Rojas-Rueda, David | - |
item.contributor | DONS, Evi | - |
item.contributor | Götschi, Thomas | - |
item.accessRights | Open Access | - |
item.fullcitation | Branion-Calles, Michael; Winters, Meghan; Nelson, Trisalyn; De Nazelle, Audrey; INT PANIS, Luc; Avila-Palencia, Ione; Anaya-Boig, Esther; Rojas-Rueda, David; DONS, Evi & Götschi, Thomas (2019) Impacts of study design on sample size, participation bias, and outcome measurement: A case study from bicycling research. In: Journal of Transport & Health, 15 (Art N° ARTN 100651). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 2214-1405 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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final_submitted.pdf | Peer-reviewed author version | 666.87 kB | Adobe PDF | View/Open |
Branion-Calles,2019.pdf Restricted Access | Published version | 1.37 MB | Adobe PDF | View/Open Request a copy |
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