. 2019 Feb 25;8(2):e12782.

doi: 10.2196/12782.

Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial

Rhiannon E Halse¹, Charlene L Shoneye¹, Christina M Pollard^{1

2}, Jonine Jancey¹, Jane A Scott¹, Iain S Pratt^{3

4}, Satvinder S Dhaliwal¹, Richard Norman¹, Leon M Straker⁵, Carol J Boushey^{6

7}, Edward J Delp⁸, Fengqing Zhu⁸, Amelia J Harray¹, Maria A Szybiak³, Anne Finch³, Joanne A McVeigh^{9

10}, Barbara Mullan⁴, Clare E Collins^{11

12}, Syed Aqif Mukhtar¹, Kieran N Edwards⁵, Janelle D Healy¹, Deborah A Kerr^{1

13}

Affiliations

¹ School of Public Health, Curtin University, Perth, Western Australia, Australia.
² East Metropolitan Health Service, Perth, Western Australia, Australia.
³ Cancer Council WA, Perth, Western Australia, Australia.
⁴ Health Psychology & Behavioural Medicine Research Group, School of Psychology, Curtin University, Perth, Western Australia, Australia.
⁵ School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
⁶ Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States.
⁷ Department of Nutrition, Purdue University, West Lafayette, IN, United States.
⁸ School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
⁹ School of Occupational Therapy, Speech Therapy & Social Work, Curtin University, Perth, Western Australia, Australia.
¹⁰ Movement Physiology Laboratory, University of Witwatersrand, Johannesburg, South Africa.
¹¹ School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
¹² Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia.
¹³ Curtin Institute of Computation, Curtin University, Perth, Western Australia, Australia.

PMID: 30801257
PMCID: PMC6409509
DOI: 10.2196/12782

Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial

Rhiannon E Halse et al. JMIR Res Protoc. 2019.

. 2019 Feb 25;8(2):e12782.

doi: 10.2196/12782.

Authors

Affiliations

¹ School of Public Health, Curtin University, Perth, Western Australia, Australia.
² East Metropolitan Health Service, Perth, Western Australia, Australia.
³ Cancer Council WA, Perth, Western Australia, Australia.
⁴ Health Psychology & Behavioural Medicine Research Group, School of Psychology, Curtin University, Perth, Western Australia, Australia.
⁵ School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
⁶ Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States.
⁷ Department of Nutrition, Purdue University, West Lafayette, IN, United States.
⁸ School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
⁹ School of Occupational Therapy, Speech Therapy & Social Work, Curtin University, Perth, Western Australia, Australia.
¹⁰ Movement Physiology Laboratory, University of Witwatersrand, Johannesburg, South Africa.
¹¹ School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
¹² Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia.
¹³ Curtin Institute of Computation, Curtin University, Perth, Western Australia, Australia.

PMID: 30801257
PMCID: PMC6409509
DOI: 10.2196/12782

Erratum in

Correction: Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial.
Halse RE, Shoneye CL, Pollard CM, Jancey J, Scott JA, Pratt IS, Dhaliwal SS, Norman R, Straker LM, Boushey CJ, Delp EJ, Zhu F, Harray AJ, Szybiak MA, Finch A, McVeigh JA, Mullan B, Collins CE, Mukhtar SA, Edwards KN, Healy JD, Kerr DA. Halse RE, et al. JMIR Res Protoc. 2020 Dec 2;9(12):e25940. doi: 10.2196/25940. JMIR Res Protoc. 2020. PMID: 33264101 Free PMC article.

Abstract

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.

Keywords: diet; digital behavioral interventions; eHealth; health behavior; mHealth; mobile food record; obesity; physical activity; sedentary; wearable activity monitor.

©Rhiannon E Halse, Charlene L Shoneye, Christina M Pollard, Jonine Jancey, Jane A Scott, Iain S Pratt, Satvinder S Dhaliwal, Richard Norman, Leon M Straker, Carol J Boushey, Edward J Delp, Fengqing Zhu, Amelia J Harray, Maria A Szybiak, Anne Finch, Joanne A McVeigh, Barbara Mullan, Clare E Collins, Syed Aqif Mukhtar, Kieran N Edwards, Janelle D Healy, Deborah A Kerr. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 25.02.2019.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

**Figure 1**
Study design with randomization to three groups. TF: tailored feedback; AC: active control; OC: online control.

See this image and copyright information in PMC

References

1. Profiles of Health, Australia, 2011-13. Canberra, Australia: Australian Bureau of Statistics; 2011. [2018-11-14]. http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4338.0~2011-... .
1. Institute for Health Metrics and Evaluation. Seattle, WA: IHME; 2010. [2018-11-14]. Global Burden of Disease Profile: Australia http://www.healthdata.org/australia .
1. Australian Government Department of Health. National Health and Medical Research Council . Clinical Practice Guidelines for the Management of Overweight and Obesity for Adults, Adolescents and Children in Australia. Canberra, ACT: Commonwealth of Australia; 2013. [2019-02-07]. https://nhmrc.gov.au/about-us/publications/clinical-practice-guidelines-... .
1. Australian Bureau of Statistics. Canberra, Australia: ABS; 2011. [2018-11-14]. Australian Health Survey: Nutrition First Results - Foods and Nutrients, 2011-12 http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4364.0.55.007Main+Feature... .
1. Australian Bureau of Statistics. Canberra, Australia: ABS; 2011. [2018-11-14]. Australian Health Survey: Physical Activity, 2011-12 http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/4364.0.55.004Chapter10020... .

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Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial

Affiliations

Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial

Authors

Affiliations

Erratum in

Abstract

Conflict of interest statement

Figures

References

Grants and funding

LinkOut - more resources

Full Text Sources