%0 Journal Article
%@ 2291-5222
%I JMIR Publications
%V 4
%N 2
%P e78
%T A Mobile Health Lifestyle Program for Prevention of Weight Gain in Young Adults (TXT2BFiT): Nine-Month Outcomes of a Randomized Controlled Trial
%A Allman-Farinelli,Margaret
%A Partridge,Stephanie Ruth
%A McGeechan,Kevin
%A Balestracci,Kate
%A Hebden,Lana
%A Wong,Annette
%A Phongsavan,Philayrath
%A Denney-Wilson,Elizabeth
%A Harris,Mark F
%A Bauman,Adrian
%+ School of Life and Environmental Sciences, Charles Perkins Centre, University of Sydney, Building D17, University of Sydney, 2006, Australia, 61 90367045, margaret.allmanfarinelli@sydney.edu.au
%K young adult
%K weight gain prevention
%K mHealth
%K telehealth
%K fruit
%K vegetables
%K take-out foods
%K sugar-sweetened beverages
%K physical activity
%D 2016
%7 22.06.2016
%9 Original Paper
%J JMIR Mhealth Uhealth
%G English
%X Background: The unprecedented rise in obesity among young adults, who have limited interaction with health services, has not been successfully abated. Objective: The objective of this study was to assess the maintenance outcomes of a 12-week mHealth intervention on prevention of weight gain in young adults and lifestyle behaviors at 9 months from baseline. Methods: A two-arm, parallel, randomized controlled trial (RCT) with subjects allocated to intervention or control 1:1 was conducted in a community setting in Greater Sydney, Australia. From November 2012 to July 2014, 18- to 35-year-old overweight individuals with a body mass index (BMI) of 25-31.99 kg/m2 and those with a BMI ≥ 23 kg/m2 and a self-reported weight gain of ≥ 2 kg in the past 12 months were recruited. A 12-week mHealth program “TXT2BFiT” was administered to the intervention arm. This included 5 coaching calls, 96 text messages, 12 emails, apps, and downloadable resources from the study website. Lifestyle behaviors addressed were intake of fruits, vegetables, sugar-sweetened beverages (SSBs), take-out meals, and physical activity. The control group received 1 phone call to introduce them to study procedures and 4 text messages over 12 weeks. After 12 weeks, the intervention arm received 2 further coaching calls, 6 text messages, and 6 emails with continued access to the study website during 6-month follow-up. Control arm received no further contact. The primary outcome was weight change (kg) with weight measured at baseline and at 12 weeks and self-report at baseline, 12 weeks, and 9 months. Secondary outcomes were change in physical activity (metabolic equivalent of task, MET-mins) and categories of intake for fruits, vegetables, SSBs, and take-out meals. These were assessed via Web-based surveys.
 Results: Two hundred and fifty young adults enrolled in the RCT. Intervention participants weighed less at 12 weeks compared with controls (model β=−3.7, 95% CI −6.1 to −1.3) and after 9 months (model β=− 4.3, 95% CI − 6.9 to − 1.8). No differences in physical activity were found but all diet behaviors showed that the intervention group, compared with controls at 9 months, had greater odds of meeting recommendations for fruits (OR 3.83, 95% CI 2.10-6.99); for vegetables (OR 2.42, 95% CI 1.32-4.44); for SSB (OR 3.11, 95% CI 1.47-6.59); and for take-out meals (OR 1.88, 95% CI 1.07-3.30). Conclusions: Delivery of an mHealth intervention for prevention of weight gain resulted in modest weight loss at 12 weeks with further loss at 9 months in 18- to 35-year-olds. Although there was no evidence of change in physical activity, improvements in dietary behaviors occurred, and were maintained at 9 months. Owing to its scalable potential for widespread adoption, replication trials should be conducted in diverse populations of overweight young adults. Trial Registration: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000924853; (Archived by WebCite at http://www.webcitation.org/6i6iRag55) 
%M 27335237
%R 10.2196/mhealth.5768
%U http://mhealth.jmir.org/2016/2/e78/
%U https://doi.org/10.2196/mhealth.5768
%U http://www.ncbi.nlm.nih.gov/pubmed/27335237