INTRODUCTION: Weight loss has been associated with higher physical activity (PA) levels and frequent dietary self-monitoring. Less is known about how PA self-monitoring affects adherence to PA goals, PA levels, and weight change. METHODS: The SMART Trial is a clinical weight loss trial in which 210 overweight adults were randomized equally to one of three arms: 1) paper record (PR), 2) personal digital assistant with self-monitoring software (PDA), and 3) PDA with daily tailored feedback message (PDA + FB). PA self-monitoring and adherence to PA goals were based on entries in weekly submitted diaries. PA levels were measured via self-report by the past 6-month Modifiable Activity Questionnaire at baseline and 6 months. RESULTS: Data are presented on 189 participants with complete 6-month PA data (84% female, 77% white, mean age = 47.3 ± 8.8 yr, mean body mass index = 34.1 ± 4.5 kg·m(-2)). Median PA level was 7.96 MET·h·wk(-1) at baseline and 13.4 MET·h·wk(-1) at 6 months, with significant PA increases in all three arms. PDA + FB arm had a higher mean number of weekly self-monitoring entries than the PR arm (3.4 vs 2.4, P = 0.003) and were more likely to maintain high (i.e., 100%) adherence to PA goals over time than the PDA (P = 0.02) or PR arms (P = 0.0003). Both PA self-monitoring and adherence to PA goals were related to higher PA levels at 6 months. A higher mean rate of PA self-monitoring was associated with a greater percentage of weight decrease (ρ = -0.49, P < 0.0001) at 6 months. CONCLUSIONS:PA self-monitoring and adherence to PA goals were more likely in participants in the PDA + FB arm and in turn predicted higher PA levels and weight loss.
RCT Entities:
INTRODUCTION:Weight loss has been associated with higher physical activity (PA) levels and frequent dietary self-monitoring. Less is known about how PA self-monitoring affects adherence to PA goals, PA levels, and weight change. METHODS: The SMART Trial is a clinical weight loss trial in which 210 overweight adults were randomized equally to one of three arms: 1) paper record (PR), 2) personal digital assistant with self-monitoring software (PDA), and 3) PDA with daily tailored feedback message (PDA + FB). PA self-monitoring and adherence to PA goals were based on entries in weekly submitted diaries. PA levels were measured via self-report by the past 6-month Modifiable Activity Questionnaire at baseline and 6 months. RESULTS: Data are presented on 189 participants with complete 6-month PA data (84% female, 77% white, mean age = 47.3 ± 8.8 yr, mean body mass index = 34.1 ± 4.5 kg·m(-2)). Median PA level was 7.96 MET·h·wk(-1) at baseline and 13.4 MET·h·wk(-1) at 6 months, with significant PA increases in all three arms. PDA + FB arm had a higher mean number of weekly self-monitoring entries than the PR arm (3.4 vs 2.4, P = 0.003) and were more likely to maintain high (i.e., 100%) adherence to PA goals over time than the PDA (P = 0.02) or PR arms (P = 0.0003). Both PA self-monitoring and adherence to PA goals were related to higher PA levels at 6 months. A higher mean rate of PA self-monitoring was associated with a greater percentage of weight decrease (ρ = -0.49, P < 0.0001) at 6 months. CONCLUSIONS: PA self-monitoring and adherence to PA goals were more likely in participants in the PDA + FB arm and in turn predicted higher PA levels and weight loss.
Authors: Lora E Burke; Mindi A Styn; Ann R Steenkiste; Edvin Music; Melanie Warziski; Jina Choo Journal: Obesity (Silver Spring) Date: 2006-11 Impact factor: 5.002
Authors: A M Kriska; W C Knowler; R E LaPorte; A L Drash; R R Wing; S N Blair; P H Bennett; L H Kuller Journal: Diabetes Care Date: 1990-04 Impact factor: 19.112
Authors: Lora E Burke; Molly B Conroy; Susan M Sereika; Okan U Elci; Mindi A Styn; Sushama D Acharya; Mary A Sevick; Linda J Ewing; Karen Glanz Journal: Obesity (Silver Spring) Date: 2010-09-16 Impact factor: 5.002
Authors: Jack F Hollis; Christina M Gullion; Victor J Stevens; Phillip J Brantley; Lawrence J Appel; Jamy D Ard; Catherine M Champagne; Arlene Dalcin; Thomas P Erlinger; Kristine Funk; Daniel Laferriere; Pao-Hwa Lin; Catherine M Loria; Carmen Samuel-Hodge; William M Vollmer; Laura P Svetkey Journal: Am J Prev Med Date: 2008-08 Impact factor: 5.043
Authors: Marion J Franz; Jeffrey J VanWormer; A Lauren Crain; Jackie L Boucher; Trina Histon; William Caplan; Jill D Bowman; Nicolas P Pronk Journal: J Am Diet Assoc Date: 2007-10
Authors: Sushama D Acharya; Okan U Elci; Susan M Sereika; Edvin Music; Mindi A Styn; Melanie Warziski Turk; Lora E Burke Journal: Patient Prefer Adherence Date: 2009-11-03 Impact factor: 2.711
Authors: Julie B Wang; Lisa A Cadmus-Bertram; Loki Natarajan; Martha M White; Hala Madanat; Jeanne F Nichols; Guadalupe X Ayala; John P Pierce Journal: Telemed J E Health Date: 2015-06-02 Impact factor: 3.536
Authors: Julie B Wang; Janine K Cataldo; Guadalupe X Ayala; Loki Natarajan; Lisa A Cadmus-Bertram; Martha M White; Hala Madanat; Jeanne F Nichols; John P Pierce Journal: J Mob Technol Med Date: 2016-07
Authors: Jena S Tronieri; Anthony N Fabricatore; Thomas A Wadden; Pernille Auerbach; Lars Endahl; Danny Sugimoto; Domenica Rubino Journal: Obes Facts Date: 2020-11-16 Impact factor: 3.942
Authors: Erica J Ambeba; Lei Ye; Susan M Sereika; Mindi A Styn; Sushama D Acharya; Mary Ann Sevick; Linda J Ewing; Molly B Conroy; Karen Glanz; Yaguang Zheng; Rachel W Goode; Meghan Mattos; Lora E Burke Journal: J Cardiovasc Nurs Date: 2015 Jan-Feb Impact factor: 2.083