%0 Journal Article
%@ 1929-0748
%I JMIR Publications
%V 8
%N 2
%P e12782
%T Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the LiveLighter Tailored Diet and Activity (ToDAy) Randomized Controlled Trial
%A Halse,Rhiannon E
%A Shoneye,Charlene L
%A Pollard,Christina M
%A Jancey,Jonine
%A Scott,Jane A
%A Pratt,Iain S
%A Dhaliwal,Satvinder S
%A Norman,Richard
%A Straker,Leon M
%A Boushey,Carol J
%A Delp,Edward J
%A Zhu,Fengqing
%A Harray,Amelia J
%A Szybiak,Maria A
%A Finch,Anne
%A McVeigh,Joanne A
%A Mullan,Barbara
%A Collins,Clare E
%A Mukhtar,Syed Aqif
%A Edwards,Kieran N
%A Healy,Janelle D
%A Kerr,Deborah A
%+ School of Public Health, Curtin University, GPO Box U1987, Perth, Western Australia, 6845, Australia, 61 892664122, d.kerr@curtin.edu.au
%K obesity
%K diet
%K physical activity
%K sedentary
%K digital behavioral interventions
%K health behavior
%K wearable activity monitor
%K mHealth
%K eHealth
%K mobile food record
%D 2019
%7 25.02.2019
%9 Protocol
%J JMIR Res Protoc
%G English
%X Background: Excess weight is a major risk factor for chronic diseases. In Australia, over 60% of adults are overweight or obese. The overconsumption of energy-dense nutrient-poor (EDNP) foods and low physical activity (PA) levels are key factors contributing to population obesity. New cost-effective approaches to improve population diet and PA behaviors are needed. Objective: This 1-year randomized controlled trial (6-month intervention and 6-month follow-up) aims to investigate whether a tailored intervention using mobile technology can improve diet and PA behaviors leading to weight loss in adults (aged 18-65 years) who are overweight or obese and recruited through a social marketing campaign (LiveLighter). Methods: All eligible participants will provide data on demographics and lifestyle behaviors online at baseline, 6 months, and 12 months. Using two-stage randomization, participants will be allocated into one of three conditions (n=200 per group): tailored feedback delivered via email at seven time points, informed by objective dietary (mobile food record app) and activity (wearable activity monitor) assessment; active control receiving no tailored feedback, but undergoing the same objective assessments as tailored feedback; and online control receiving no tailored feedback or objective assessments. Primary outcome measures at 6 and 12 months are changes in body mass, EDNP food and beverage consumption, and daily moderate-to-vigorous PA (measured via accelerometry). Secondary outcomes include change in fruit and vegetable consumption, daily sedentary behaviors, and cost effectiveness. Results: Enrolment commenced in August 2017. Primary outcomes at 12 months will be available for analysis from September 2019. Conclusions: Tailored email feedback provided to individuals may deliver a cost-effective strategy to overcome existing barriers to improving diet and PA. If found to be successful and cost effective, upscaling this intervention for inclusion in larger-scale interventions is highly feasible. Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12617000554369; https://www.anzctr.org.au /Trial/Registration/TrialReview.aspx?id=371325&isReview=true International Registered Report Identifier (IRRID): DERR1-10.2196/12782 
%M 30801257
%R 10.2196/12782
%U http://www.researchprotocols.org/2019/2/e12782/
%U https://doi.org/10.2196/12782
%U http://www.ncbi.nlm.nih.gov/pubmed/30801257