{"title":"Factors Influencing Implementation of Youth Physical Activity Interventions: An Expert Perspective—Corrigendum","authors":"","doi":"10.1249/tjx.0000000000000021","DOIUrl":"https://doi.org/10.1249/tjx.0000000000000021","url":null,"abstract":"LE 3. elihood ratios and diagnostic power scores for each factor-level. Likelihood Ratios for Each Factor-Level ctors High Moderate Low Diagnostic Power Scores rganizational characteristics . Leadership motivation and engagement c, d 8.75/1 1/1.05 1/8.63 17.38 . Physical activity culture 4.69/1 1.07/1 1/6.56 11.34 . Available facilitates and equipment d 4/1 1/1.12 1/5.09 9.09 . Available space 3.05/1 1.19/1 1/3.53 6.58 . Available staff d 5/1 1/1.17 1/5 10 . Communication c, d 2.55/1 1.05/1 1/3.31 5.86 . Competing programs within the organization 1.77/1 1.19/1 1/2.63 4.4 plementation processes . Needs assessment 7.75/1 1/1.23 1/5 12.75 . Goal setting 4.31/1 1.12/1 1/4.55 8.86 0. Engaging intervention staff c 5.57/1 1.08/1 1/10.67 16.24 . Engaging youths c 3.16/1 1.17/1 1/4.46 7.62 2. Engaging program champion c 4.43/1 1/1.15 1/4.67 9.1 3. Training c, d 3.39/1 1/1 1/4.91 8.32 4. Technical assistance c, d 3.85/1 1.27/1 1/4.75 8.6 5. Reflecting and evaluating 4.92/1 1.44/1 1/4.67 9.59 6. Sustainability plans 2.23/1 1.36/1 1/3.61 5.84 rovider characteristics 7. Provider belief and motivation d 4.54/1 1.13/1 1/4.27 8.81 8. Provider knowledge and skills about the intervention c, d 5.16/1 1.03/1 1/7.43 12.59","PeriodicalId":75243,"journal":{"name":"Translational journal of the American College of Sports Medicine","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66085306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yvonne L Eaglehouse, Bonny Rockette-Wagner, M Kaye Kramer, Vincent C Arena, Rachel G Miller, Karl K Vanderwood, Andrea M Kriska
{"title":"Physical Activity Levels in a Community Lifestyle Intervention: A Randomized Trial.","authors":"Yvonne L Eaglehouse, Bonny Rockette-Wagner, M Kaye Kramer, Vincent C Arena, Rachel G Miller, Karl K Vanderwood, Andrea M Kriska","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>A behavioral lifestyle intervention program with goals of increasing physical activity (PA) and losing weight was shown to be efficacious for preventing type 2 diabetes and decreasing risk for cardiovascular disease in the U.S. Diabetes Prevention Program (DPP). Modified versions of the DPP lifestyle intervention are being translated into diverse community settings and have been successful in decreasing weight and improving metabolic markers. However, comprehensive evaluations of PA levels within these community translation intervention efforts are rare.</p><p><strong>Purpose: </strong>To evaluate the effectiveness of a DPP-based community lifestyle intervention for improving PA levels.</p><p><strong>Methods: </strong>223 overweight adults at-risk for type 2 diabetes and/or cardiovascular disease were randomized (immediate or 6-month delayed-start) to a 12-month DPP-based lifestyle intervention. Past-month PA level was assessed at baseline and post-intervention with the Modifiable Activity Questionnaire. Simple and mixed-effects regression models were used to determine changes in PA level between and within groups over time.</p><p><strong>Results: </strong>The between-group mean difference for change in PA levels from baseline to 6 months indicated significantly greater improvement in the intervention compared to the delayed-start group [+6.72 (SE=3.01) MET-hrs/week; <i>p</i>=0.03]. Examining combined within-group change from baseline to post-intervention, mean PA levels significantly increased by +14.69 (SE=1.43) and +9.50 (SE= 1.40) MET-hrs/week at 6 and 12 months post-intervention, respectively. This PA change offset to approximately +10 MET-hrs/week at both 6 and 12 months after adjusting for baseline PA level and season (all; <i>p</i><0.01). Other than season, sex impacted on change in PA level.</p><p><strong>Conclusions: </strong>This community-based lifestyle intervention significantly increased PA levels among overweight adults at risk for type 2 diabetes and cardiovascular disease, even after adjusting for key variables.</p><p><strong>Clinicaltrialsgov identifier: </strong>NCT01050205.</p>","PeriodicalId":75243,"journal":{"name":"Translational journal of the American College of Sports Medicine","volume":"1 5","pages":"45-51"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991779/pdf/nihms775914.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34328482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abby C King, Sandra J Winter, Jylana L Sheats, Lisa G Rosas, Matthew P Buman, Deborah Salvo, Nicole M Rodriguez, Rebecca A Seguin, Mika Moran, Randi Garber, Bonnie Broderick, Susan G Zieff, Olga Lucia Sarmiento, Silvia A Gonzalez, Ann Banchoff, Juan Rivera Dommarco
{"title":"Leveraging Citizen Science and Information Technology for Population Physical Activity Promotion.","authors":"Abby C King, Sandra J Winter, Jylana L Sheats, Lisa G Rosas, Matthew P Buman, Deborah Salvo, Nicole M Rodriguez, Rebecca A Seguin, Mika Moran, Randi Garber, Bonnie Broderick, Susan G Zieff, Olga Lucia Sarmiento, Silvia A Gonzalez, Ann Banchoff, Juan Rivera Dommarco","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>While technology is a major driver of many of society's comforts, conveniences, and advances, it has been responsible, in a significant way, for engineering regular physical activity and a number of other positive health behaviors out of people's daily lives. A key question concerns how to harness information and communication technologies (ICT) to bring about positive changes in the health promotion field. One such approach involves community-engaged \"citizen science,\" in which local residents leverage the potential of ICT to foster data-driven consensus-building and mobilization efforts that advance physical activity at the individual, social, built environment, and policy levels.</p><p><strong>Method: </strong>The history of citizen science in the research arena is briefly described and an evidence-based method that embeds citizen science in a multi-level, multi-sectoral community-based participatory research framework for physical activity promotion is presented.</p><p><strong>Results: </strong>Several examples of this citizen science-driven community engagement framework for promoting active lifestyles, called \"Our Voice\", are discussed, including pilot projects from diverse communities in the U.S. as well as internationally.</p><p><strong>Conclusions: </strong>The opportunities and challenges involved in leveraging citizen science activities as part of a broader population approach to promoting regular physical activity are explored. The strategic engagement of citizen scientists from socio-demographically diverse communities across the globe as both assessment as well as change agents provides a promising, potentially low-cost and scalable strategy for creating more active, healthful, and equitable neighborhoods and communities worldwide.</p>","PeriodicalId":75243,"journal":{"name":"Translational journal of the American College of Sports Medicine","volume":"1 4","pages":"30-44"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978140/pdf/nihms768544.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34308208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}