Yoshimi Fukuoka1, Caryl L Gay2, Kevin L Joiner3, Eric Vittinghoff4. 1. Institute for Health & Aging; Department of Social and Behavioral Sciences. Electronic address: yoshimi.fukuoka@ucsf.edu. 2. Institute for Health & Aging; Department of Family Health Care Nursing. 3. Department of Community Health Systems, School of Nursing. 4. Department of Epidemiology & Biostatistics, University of California, San Francisco, California.
Abstract
INTRODUCTION: Mobile phone technology may be a cost-effective and convenient way to deliver proven weight-loss interventions and thereby prevent or delay onset of type 2 diabetes. The purpose of this study was to examine the feasibility and efficacy of a diabetes prevention intervention combined with a mobile app and pedometer in English-speaking overweight adults at risk for type 2 diabetes. DESIGN: RCT. PARTICIPANTS: Participants included 61 overweight adults with a mean age (SD) of 55.2 (9.0) years. Seventy-seven percent were women, 48% were racial/ethnic minorities, and baseline BMI was 33.3 (6.0). INTERVENTION: The curriculum was adapted from the Diabetes Prevention Program, with the frequency of in-person sessions reduced from 16 to six sessions and group exercise sessions replaced by a home-based exercise program. A study-developed mobile phone app and pedometer augmented the intervention and provided self-monitoring tools. MAIN OUTCOME MEASURE: Weight loss. RESULTS:Data were collected in 2012 and 2013 and were analyzed in 2014. In intention-to-treat analyses, the intervention group (n=30) lost an average of 6.2 (5.9) kg (-6.8% [5.7%]) between baseline and 5-month follow-up compared to the control group's (n=31) gain of 0.3 (3.0) kg (0.3% [5.7%]) (p<0.001). The intervention group's steps per day increased by 2,551 (4,712) compared to the control group's decrease of 734 (3,308) steps per day (p<0.001). In comparison, the intervention group had greater reductions in hip circumference (p<0.001); blood pressure (p<0.05); and intake of saturated fat (p=0.007) and sugar-sweetened beverages (p=0.02). The intervention had no significant effect on fasting lipid or glucose levels. CONCLUSIONS: The significant weight loss resulting from this modified combined mobile app and pedometer intervention for overweight adults warrants further investigation in a larger trial.
RCT Entities:
INTRODUCTION: Mobile phone technology may be a cost-effective and convenient way to deliver proven weight-loss interventions and thereby prevent or delay onset of type 2 diabetes. The purpose of this study was to examine the feasibility and efficacy of a diabetes prevention intervention combined with a mobile app and pedometer in English-speaking overweight adults at risk for type 2 diabetes. DESIGN: RCT. PARTICIPANTS: Participants included 61 overweight adults with a mean age (SD) of 55.2 (9.0) years. Seventy-seven percent were women, 48% were racial/ethnic minorities, and baseline BMI was 33.3 (6.0). INTERVENTION: The curriculum was adapted from the Diabetes Prevention Program, with the frequency of in-person sessions reduced from 16 to six sessions and group exercise sessions replaced by a home-based exercise program. A study-developed mobile phone app and pedometer augmented the intervention and provided self-monitoring tools. MAIN OUTCOME MEASURE: Weight loss. RESULTS: Data were collected in 2012 and 2013 and were analyzed in 2014. In intention-to-treat analyses, the intervention group (n=30) lost an average of 6.2 (5.9) kg (-6.8% [5.7%]) between baseline and 5-month follow-up compared to the control group's (n=31) gain of 0.3 (3.0) kg (0.3% [5.7%]) (p<0.001). The intervention group's steps per day increased by 2,551 (4,712) compared to the control group's decrease of 734 (3,308) steps per day (p<0.001). In comparison, the intervention group had greater reductions in hip circumference (p<0.001); blood pressure (p<0.05); and intake of saturated fat (p=0.007) and sugar-sweetened beverages (p=0.02). The intervention had no significant effect on fasting lipid or glucose levels. CONCLUSIONS: The significant weight loss resulting from this modified combined mobile app and pedometer intervention for overweight adults warrants further investigation in a larger trial.
Authors: X R Pan; G W Li; Y H Hu; J X Wang; W Y Yang; Z X An; Z X Hu; J Lin; J Z Xiao; H B Cao; P A Liu; X G Jiang; Y Y Jiang; J P Wang; H Zheng; H Zhang; P H Bennett; B V Howard Journal: Diabetes Care Date: 1997-04 Impact factor: 19.112
Authors: Kevin Patrick; Gregory J Norman; Evelyn P Davila; Karen J Calfas; Fred Raab; Michael Gottschalk; James F Sallis; Suni Godbole; Jennifer R Covin Journal: J Diabetes Sci Technol Date: 2013-05-01
Authors: Michelle Clare Carter; Victoria Jane Burley; Camilla Nykjaer; Janet Elizabeth Cade Journal: J Med Internet Res Date: 2013-04-15 Impact factor: 5.428
Authors: Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams Journal: J Am Med Inform Assoc Date: 2018-10-01 Impact factor: 4.497
Authors: Binay Kumar Pramanik; J Jebashini Angelin; Vineeth John Mathai; Sarah Mathai; Sophy Korula; Anna Simon Journal: Indian J Pediatr Date: 2019-07-29 Impact factor: 1.967
Authors: Andrea T Kozak; Joanna Buscemi; Misty A W Hawkins; Monica L Wang; Jessica Y Breland; Kathryn M Ross; Anupama Kommu Journal: J Behav Med Date: 2016-10-25
Authors: Eleshia J Morrison; Matthew M Clark; Mark L Wieland; Jennifer A Weis; Marcelo M K Hanza; Sonja J Meiers; Christi A Patten; Jeff A Sloan; Paul J Novotny; Leslie A Sim; Julie A Nigon; Irene G Sia Journal: J Immigr Minor Health Date: 2017-06