Browsing by Author "Beets, Michael W"
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- ItemThe application of mHealth to monitor implementation of best practices to support healthy eating and physical activity in afterschool programs.(0000-00-00) Brazendale, Keith; Beets, Michael W; Weaver, Robert G; Turner-McGrievy, Brie; Brazendale, Allison B; Chandler, Jessica L; Moore, Justin B; Huberty, Jennifer L; Lemley, Joshua; Brownson, Ross CBACKGROUND Childhood obesity continues to be a global epidemic and many child based settings e g school afterschool programs have great potential to make a positive impact on children s health behaviors Innovative and time sensitive methods of gathering health behavior information for the purpose of evaluation and strategically deploying support are needed in these settings PURPOSE The aim is to 1 demonstrate the feasibility of mobile health mHealth for monitoring implementation of healthy eating and physical activity HEPA standards and 2 illustrate the utility of mHealth for identifying areas where support is needed within the afterschool setting METHODS Site leaders N 175 of afterschool programs ASPs were invited to complete an online observation checklist via a mobile web app Healthy Eating and Physical Activity Mobile HEPA m once per week during ASP operating hours Auto generated weekly text reminders were sent to site leaders mobile devices during spring and fall 2015 and 2016 and spring 2017 school semesters Data from HEPA m was separated into HEPA variables and expressed as a percent of checklists where an item was present A higher percentage for a given item would indicate an afterschool has higher compliance with current HEPA standards RESULTS A total of 141 site leaders of ASPs completed 13 960 HEPA m checklists The average number of checklists completed per ASP was 43 range 1 220 for healthy eating and 50 range 1 230 for physical activity For healthy eating the most common challenge for ASPs was Staff educating children about healthy eating and for physical activity checklists Girls only physical activity is provided at ASP CONCLUSION HEPA m was widely used and provided valuable information that can be used to strategically deploy HEPA support to ASPs This study gives confidence to the adoption of mHealth strategies as a means for public health practitioners to monitor compliance of an initiative or intervention
- ItemComparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program.(2013-04-12) Turner-McGrievy, Gabrielle M; Beets, Michael W; Moore, Justin B; Kaczynski, Andrew T; Barr-Anderson, Daheia J; Tate, Deborah FOBJECTIVE Self monitoring of physical activity PA and diet are key components of behavioral weight loss programs The purpose of this study was to assess the relationship between diet mobile app website or paper journal and PA mobile app vs no mobile app self monitoring and dietary and PA behaviors MATERIALS AND METHODS This study is a post hoc analysis of a 6 month randomized weight loss trial among 96 overweight men and women body mass index BMI 25 45 kg m 2 conducted from 2010 to 2011 Participants in both randomized groups were collapsed and categorized by their chosen self monitoring method for diet and PA All participants received a behavioral weight loss intervention delivered via podcast and were encouraged to self monitor dietary intake and PA RESULTS Adjusting for randomized group and demographics PA app users self monitored exercise more frequently over the 6 month study 2 6 0 5 days week and reported greater intentional PA 196 4 45 9 kcal day than non app users 1 2 0 5 days week PA self monitoring pUnder0 01 100 9 45 1 kcal day intentional PA p 0 02 PA app users also had a significantly lower BMI at 6 months 31 5 0 5 kg m 2 than non users 32 5 0 5 kg m 2 p 0 02 Frequency of self monitoring did not differ by diet self monitoring method p 0 63 however app users consumed less energy 1437 188 kcal day than paper journal users 2049 175 kcal day p 0 01 at 6 months BMI did not differ among the three diet monitoring methods p 0 20 CONCLUSIONS These findings point to potential benefits of mobile monitoring methods during behavioral weight loss trials Future studies should examine ways to predict which self monitoring method works best for an individual to increase adherence