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dc.contributor.authorJahangiry, L
dc.contributor.authorFarhangi, MA
dc.contributor.authorShab-Bidar, S
dc.contributor.authorRezaei, F
dc.contributor.authorPashaei, T
dc.date.accessioned2018-08-26T09:45:27Z
dc.date.available2018-08-26T09:45:27Z
dc.date.issued2017
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/58736
dc.description.abstractObjectives It was estimated that approximately 60% of the world's population is classified as inactive or insufficiently active. This meta-analysis investigated the effect of web-based interventions on different types of physical activity (PA) measurements in general population and potential moderating variables. Study design PubMed, CINAHL, EBSCOhost, PsycINFO, Scopus, Ovid, and ScienceDirect literature searches were conducted to identify studies investigating the effect of web-based interventions on PA. Methods Randomized controlled trials on PA changes reported in moderate to vigorous intensity, walking, and step count in the intervention group in comparison with the control group were pooled with a fixed-effects model separately. Results A total of 22 studies comprising 16,476 and 14,475 subjects in intervention and control groups respectively were included. Web-based interventions had positive and significant effect on increasing PA. Of 14 trials reporting moderate to vigorous physical activity (MVPA), five showed a significant increase in the MVPA level after the intervention. There was significant heterogeneity between studies (P < 0.001 and I2 = 67.8%). Of six trials that reported the number of steps by using the pedometer, three showed a significant increase for the step counts in intervention groups (P < 0.001 and I2 = 93.3%), of 14 trials assessed PA level by reporting walking minutes per week, four studies showed a significant increase in walking minutes. There was significant heterogeneity between studies (P < 0.001, I2 = 68.1%). Overall, the effect of web-based interventions seemed to be influenced by the characteristics of mean age of participants, trial duration, and study quality (P < 0.05). Conclusion The web-based PA interventions had a positive significant effect on increasing all the three types of PA among the general population. However, the effects appear to depend on the design of the study, age, and duration of studies. © 2017 The Royal Society for Public Health
dc.language.isoEnglish
dc.relation.ispartofPublic Health
dc.subjectheterogeneity
dc.subjectInternet
dc.subjectmeta-analysis
dc.subjectphysical activity
dc.subjecttemporal variation
dc.subjectwalking
dc.subjectage
dc.subjectcontrolled study
dc.subjecthuman
dc.subjectInternet
dc.subjectmeta analysis
dc.subjectpedometer
dc.subjectphysical activity
dc.subjectphysical inactivity
dc.subjectrandomized controlled trial
dc.subjectReview
dc.subjectsystematic review
dc.subjectwalking
dc.subjectexercise
dc.subjecthealth promotion
dc.subjectInternet
dc.subjectprocedures
dc.subjectprogram evaluation
dc.subjectrandomized controlled trial (topic)
dc.subjectScopus
dc.subjectExercise
dc.subjectHealth Promotion
dc.subjectHumans
dc.subjectInternet
dc.subjectProgram Evaluation
dc.subjectRandomized Controlled Trials as Topic
dc.titleWeb-based physical activity interventions: a systematic review and meta-analysis of randomized controlled trials.
dc.typeArticle
dc.citation.volume152
dc.citation.spage36
dc.citation.epage46
dc.citation.indexScopus
dc.identifier.DOIhttps://doi.org/10.1016/j.puhe.2017.06.005


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