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

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posted on 2020-06-09, 07:52 authored by Louise Thornton, Bridie Osman, Annie B. Wescott, Matthew Sunderland, Katrina Champion, Olivia Green, Frances Kay-Lambkin, Tim Slade, Nickie Newton, Cath Chapman, Maree Teesson, Katherine Mills, Louise Birrell, David Lubans, Pepijn van de VenPepijn van de Ven, John Torous, Belinda Parmenter, Lauren Gardner, Health4Life team
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.

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Byzantine Book Epigrams: function and context of a genre in the margin

Belgian Federal Science Policy Office

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Publication

Systematic Reviews;9,127

Publisher

BMC

Note

peer-reviewed

Other Funding information

Paul Ramsay Foundation

Language

English

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