File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Impact of activity outcome and measurement instrument on estimates of youth compliance with physical activity guidelines: A cross-sectional study

TitleImpact of activity outcome and measurement instrument on estimates of youth compliance with physical activity guidelines: A cross-sectional study
Authors
KeywordsMonitor
Youth
Physical activity
Guideline
Issue Date2016
Citation
BMC Public Health, 2016, v. 16, n. 1, article no. 223 How to Cite?
Abstract© 2016 Hibbing et al. Background: The national physical activity guidelines (PAG) in many countries recommend that youth accumulate 60 min or more of moderate-To-vigorous physical activity (MVPA) daily (PAG-MVPA). A daily target of ≥ 11,500 steps/ day has been proposed as a step count alternative to this guideline (PAG-Steps). Contemporary activity monitors are capable of estimating both MVPA and steps, but it is not clear how these units compare when used to evaluate compliance with the national PAG. The purpose of this study was to compare prevalence estimates of meeting the PAG-MVPA and PAG-Steps using two commonly used monitors, the ActiGraph (AG) and SenseWear Armband (SWA). Methods: A sample of 69 children (25 girls and 44 boys) aged 9-16 years each wore a wrist-mounted AG and a SWA over a one-week period. Days with ≥10 h of wear time for both monitors were included in the analysis. Estimates of time spent in MVPA were obtained using the Crouter equation for the AG and from proprietary algorithms for the SWA. Step counts for the AG and SWA were directly obtained from the respective software. The prevalence of meeting the PAG-MVPA and PAG-Steps was compared within each monitor, using Cohen's kappa (κ) statistic. Agreement was similarly assessed between monitors using each guideline individually. Results: When assessed with the AG, the prevalence of meeting PAG was substantially higher for the PAG-MVPA (87.2 %) than for the PAG-Steps (54.2 %), with fair classification agreement (κ = 0.30) between the two guidelines. Higher prevalence rates were also observed for the PAG-MVPA (83.6 %) than for the PAG-Steps (33.8 %) when assessed using the SWA, but the prevalence rates and classification agreement (κ = 0.18) were lower than the values from the AG. Classification agreement between AG and SWA was lower for the PAG-MVPA (κ = 0.42) than for the PAG-Steps (κ = 0.55). Conclusions: The results show differential patterns of compliance with the PAG-MVPA and PAG-Steps, as assessed by the AG and SWA. Additional research is needed to directly evaluate and compare findings from public health research based on different guidelines and measurement methods.
Persistent Identifierhttp://hdl.handle.net/10722/266779
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHibbing, Paul R.-
dc.contributor.authorKim, Youngwon-
dc.contributor.authorSaint-Maurice, Pedro F.-
dc.contributor.authorWelk, Gregory J.-
dc.date.accessioned2019-01-31T07:19:34Z-
dc.date.available2019-01-31T07:19:34Z-
dc.date.issued2016-
dc.identifier.citationBMC Public Health, 2016, v. 16, n. 1, article no. 223-
dc.identifier.urihttp://hdl.handle.net/10722/266779-
dc.description.abstract© 2016 Hibbing et al. Background: The national physical activity guidelines (PAG) in many countries recommend that youth accumulate 60 min or more of moderate-To-vigorous physical activity (MVPA) daily (PAG-MVPA). A daily target of ≥ 11,500 steps/ day has been proposed as a step count alternative to this guideline (PAG-Steps). Contemporary activity monitors are capable of estimating both MVPA and steps, but it is not clear how these units compare when used to evaluate compliance with the national PAG. The purpose of this study was to compare prevalence estimates of meeting the PAG-MVPA and PAG-Steps using two commonly used monitors, the ActiGraph (AG) and SenseWear Armband (SWA). Methods: A sample of 69 children (25 girls and 44 boys) aged 9-16 years each wore a wrist-mounted AG and a SWA over a one-week period. Days with ≥10 h of wear time for both monitors were included in the analysis. Estimates of time spent in MVPA were obtained using the Crouter equation for the AG and from proprietary algorithms for the SWA. Step counts for the AG and SWA were directly obtained from the respective software. The prevalence of meeting the PAG-MVPA and PAG-Steps was compared within each monitor, using Cohen's kappa (κ) statistic. Agreement was similarly assessed between monitors using each guideline individually. Results: When assessed with the AG, the prevalence of meeting PAG was substantially higher for the PAG-MVPA (87.2 %) than for the PAG-Steps (54.2 %), with fair classification agreement (κ = 0.30) between the two guidelines. Higher prevalence rates were also observed for the PAG-MVPA (83.6 %) than for the PAG-Steps (33.8 %) when assessed using the SWA, but the prevalence rates and classification agreement (κ = 0.18) were lower than the values from the AG. Classification agreement between AG and SWA was lower for the PAG-MVPA (κ = 0.42) than for the PAG-Steps (κ = 0.55). Conclusions: The results show differential patterns of compliance with the PAG-MVPA and PAG-Steps, as assessed by the AG and SWA. Additional research is needed to directly evaluate and compare findings from public health research based on different guidelines and measurement methods.-
dc.languageeng-
dc.relation.ispartofBMC Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectMonitor-
dc.subjectYouth-
dc.subjectPhysical activity-
dc.subjectGuideline-
dc.titleImpact of activity outcome and measurement instrument on estimates of youth compliance with physical activity guidelines: A cross-sectional study-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12889-016-2901-8-
dc.identifier.pmid26939783-
dc.identifier.scopuseid_2-s2.0-85007413295-
dc.identifier.volume16-
dc.identifier.issue1-
dc.identifier.spagearticle no. 223-
dc.identifier.epagearticle no. 223-
dc.identifier.eissn1471-2458-
dc.identifier.isiWOS:000371873200001-
dc.identifier.issnl1471-2458-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats