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Measurement properties of smartphone approaches to assess key lifestyle behaviours: protocol of a systematic review

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Show simple item record Thornton, Louise Osman, Bridie Wescott, Annie B. Sunderland, Matthew Champion, Katrina Green, Olivia Kay-Lambkin, Frances Slade, Tim Newton, Nickie Chapman, Cath Teesson, Maree Mills, Katherine Birrell, Louise Lubans, David van de Ven, Pepijn Torous, John Parmenter, Belinda Gardner, Lauren Health4Life team 2020-06-09T07:52:36Z 2020-06-09T07:52:36Z 2020
dc.description peer-reviewed en_US
dc.description.abstract Background: Six core behavioural risk factors (poor diet, physical activity, sedentary behaviour, alcohol misuse, smoking and unhealthy sleep patterns) have been identified as strong determinants of chronic disease, such as cardiovascular disease, diabetes and cancers. Smartphones have the potential to provide a real-time, pervasive, unobtrusive and cost-effective way to measure health behaviours and deliver instant feedback to users. Despite this, validity of using smartphones to measure these six key behaviours is largely unknown. The proposed systematic review aims to address this gap by identifying existing smartphone-based approaches to measure these health behaviours and critically appraising, comparing and summarizing the quality of their measurement properties. Methods: A systematic search of the Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost) and IEEE Xplore Digital Library databases will be conducted from January 2007 to March 2020. Eligible studies will be those written in English that measure at least one of the six health behaviours of interest via a smartphone and report on at least one measurement property. The primary outcomes will be validity, reliability and/or responsiveness of these measurement approaches. A secondary outcome will be the feasibility (e.g. user burden, usability and cost) of identified approaches. No restrictions will be placed on the participant population or study design. Two reviewers will independently screen studies for eligibility, extract data and assess the risk of bias. The study methodological quality (or bias) will be appraised using an appropriate tool. Our results will be described in a narrative synthesis. If feasible, random effects meta-analysis will be conducted where appropriate.Discussion: The results from this review will provide important information about the types of smartphone-based approaches currently available to measure the core behavioural risk factors for chronic disease and the quality of their measurement properties. It will allow recommendations on the most suitable and effective measures of these lifestyle behaviours using smartphones. Valid and reliable measurement of these behaviours and risk factor opens the door to targeted and real-time delivery of health behaviour interventions, providing unprecedented opportunities to offset the trajectory toward chronic disease. en_US
dc.language.iso eng en_US
dc.publisher BMC en_US
dc.relation.ispartofseries Systematic Reviews;9,127
dc.subject Smartphone en_US
dc.subject App en_US
dc.subject Health en_US
dc.subject mHealth en_US
dc.subject Prevention en_US
dc.title Measurement properties of smartphone approaches to assess key lifestyle behaviours: protocol of a systematic review en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1186/s13643-020-01375-w
dc.contributor.sponsor Paul Ramsay Foundation en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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