{"id":59199,"date":"2014-04-01T00:00:00","date_gmt":"2018-12-04T07:18:23","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/mobile-technology-for-obesity-prevention-a-randomized-pilot\/"},"modified":"2018-12-04T08:18:23","modified_gmt":"2018-12-04T07:18:23","slug":"mobile-technology-for-obesity-prevention-a-randomized-pilot","status":"publish","type":"resume","link":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/mobile-technology-for-obesity-prevention-a-randomized-pilot\/","title":{"rendered":"Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls."},"content":{"rendered":"

BACKGROUND<\/strong>
\nMobile technologies have wide-scale reach and disseminability, but no known studies have examined mobile technologies as a stand-alone tool to improve obesity-related behaviors of at-risk youth.<\/p>\n

PURPOSE<\/strong>
\nTo test a 12-week mobile technology intervention for use and estimate effect sizes for a fully powered trial.<\/p>\n

METHODS<\/strong>
\nFifty-one low-income, racial\/ethnic-minority girls aged 9-14 years were randomized to a mobile technology (n=26) or control (n=25) condition. Both conditions lasted 12 weeks and targeted fruits\/vegetables (FVs; Weeks 1-4); sugar-sweetened beverages (SSBs; Weeks 5-8), and screen time (Weeks 9-12). The mobile intervention prompted real-time goal setting and self-monitoring and provided tips, feedback, and positive reinforcement related to the target behaviors. Controls received the same content in a written manual but no prompting. Outcomes included device utilization and effect size estimates of FVs, SSBs, screen time, and BMI. Data were collected and analyzed in 2011-2012.<\/p>\n

RESULTS<\/strong>
\nMobile technology girls used the program on 63% of days and exhibited trends toward increased FVs (+0.88, p=0.08) and decreased SSBs (-0.33, p=0.09). The adjusted difference between groups of 1.0 servings of FVs (p=0.13) and 0.35 servings of SSBs (p=0.25) indicated small to moderate effects of the intervention (Cohen's d=0.44 and -0.34, respectively). No differences were observed for screen time or BMI.<\/p>\n

CONCLUSIONS<\/strong>
\nA stand-alone mobile app may produce small to moderate effects for FVs and SSBs. Given the extensive reach of mobile devices, this pilot study demonstrates the need for larger-scale testing of similar programs to address obesity-related behaviors in high-risk youth.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-59199","resume","type-resume","status-publish","hentry"],"acf":{"adresse":"Department of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, Kansas. 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