The Effect of Tailored, Daily, Smartphone Feedback to Lifestyle Self-Monitoring on Weight Loss at 12 Months: the SMARTER Randomized Clinical Trial

被引:19
作者
Burke, Lora E. [1 ,5 ]
Sereika, Susan M. [1 ]
Bizhanova, Zhadyra [2 ]
Parmanto, Bambang [3 ]
Kariuki, Jacob [1 ]
Cheng, Jessica [2 ]
Beatrice, Britney [1 ]
Cedillo, Maribel [4 ]
Pulantara, I. Wayan [3 ]
Wang, Yuhan [3 ]
Loar, India [1 ]
Conroy, Molly B. [4 ]
机构
[1] Univ Pittsburgh, Sch Nursing, Pittsburgh, PA USA
[2] Univ Pittsburgh, Sch Publ Hlth, Pittsburgh, PA USA
[3] Univ Pittsburgh, Sch Rehabil Sci, Pittsburgh, PA USA
[4] Univ Utah, Sch Med, Salt Lake City, UT USA
[5] Univ Pittsburgh, Sch Nursing, 3500 Victoria St, Pittsburgh, PA 15261 USA
基金
美国国家卫生研究院;
关键词
self-monitoring; behavioral intervention/weight loss; feedback messages; engagement; mHealth; adherence; obesity; randomized clinical trial; smart scales; physical activity trackers; digital health; OBESITY TREATMENT; DIETARY-INTAKE; INTERVENTION; TECHNOLOGY; MANAGEMENT; PATTERNS; METAANALYSIS; EXPERIENCES; BEHAVIOR; MHEALTH;
D O I
10.2196/38243
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Self-monitoring (SM) is the centerpiece of behavioral weight loss treatment, but the efficacy of smartphone-delivered SM feedback (FB) has not been tested in large, long-term, randomized trials. Objective: The aim of this study was to establish the efficacy of providing remote FB to diet, physical activity (PA), and weight SM on improving weight loss outcomes when comparing the SM plus FB (SM+FB) condition to the SM-only condition in a 12-month randomized controlled trial. The study was a single-site, population-based trial that took place in southwestern Pennsylvania, USA, conducted between 2018 and 2021. Participants were smartphone users age >= 18 years, able to engage in moderate PA, with a mean BMI between 27 and 43 kg/m(2). Methods: All participants received a 90-minute, one-to-one, in-person behavioral weight loss counseling session addressing behavioral strategies, establishing participants' dietary and PA goals, and instructing on use of the PA tracker (Fitbit Charge 2), smart scale, and diet SM app. Only SM+FB participants had access to an investigator-developed smartphone app that read SM data, in which an algorithm selected tailored messages sent to the smartphone up to 3 times daily. The SM-only participants did not receive any tailored FB based on SM data. The primary outcome was percent weight change from baseline to 12 months. Secondary outcomes included engagement with digital tools (eg, monthly percentage of FB messages opened and monthly percentage of days adherent to the calorie goal). Results: Participants (N=502) were on average 45.0 (SD 14.4) years old with a mean BMI of 33.7 (SD 4.0) kg/m(2). The sample was 79.5% female (n=399/502) and 82.5% White (n=414/502). At 12 months, retention was 78.5% (n=394/502) and similar by group (SM+FB: 202/251, 80.5%; SM: 192/251, 76.5%; P=.28). There was significant percent weight loss from baseline in both groups (SM+FB: -2.12%, 95% CI -3.04% to -1.21%, P<.001; SM: -2.39%, 95% CI -3.32% to -1.47%; P<.001), but no difference between the groups (-0.27%; 95% CI -1.57% to 1.03%; t =-0.41; P=.68). Similarly, 26.3% (66/251) of the SM+FB group and 29.1% (73/251) of the SM group achieved >= 5% weight loss (chi-square value=0.49; P=.49). A 1% increase in FB messages opened was associated with a 0.10 greater percent weight loss at 12 months (b=0.10; 95% CI -0.13 to -0.07; t =-5.90; P<.001). A 1% increase in FB messages opened was associated with 0.12 greater percentage of days adherent to the calorie goal per month (b=0.12; 95% CI 0.07-0.17; F=22.19; P<.001). Conclusions: There were no significant between-group differences in weight loss; however, the findings suggested that the use of commercially available digital SM tools with or without FB resulted in a clinically significant weight loss in over 25% of participants. Future studies need to test additional strategies that will promote greater engagement with digital tools.
引用
收藏
页数:16
相关论文
共 53 条
[1]   Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review [J].
Amagai, Saki ;
Pila, Sarah ;
Kaat, J. Aaron ;
Nowinski, J. Cindy ;
Gershon, C. Richard .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (04)
[2]   The Use of mHealth to Deliver Tailored Messages Reduces Reported Energy and Fat Intake [J].
Ambeba, Erica J. ;
Ye, Lei ;
Sereika, Susan M. ;
Styn, Mindi A. ;
Acharya, Sushama D. ;
Sevick, Mary Ann ;
Ewing, Linda J. ;
Conroy, Molly B. ;
Glanz, Karen ;
Zheng, Yaguang ;
Goode, Rachel W. ;
Mattos, Meghan ;
Burke, Lora E. .
JOURNAL OF CARDIOVASCULAR NURSING, 2015, 30 (01) :35-43
[3]   Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions [J].
Balbim, Guilherme M. ;
Marques, Isabela G. ;
Marquez, David X. ;
Patel, Darshilmukesh ;
Sharp, Lisa K. ;
Kitsiou, Spyros ;
Nyenhuis, Sharmilee M. .
JMIR MHEALTH AND UHEALTH, 2021, 9 (03)
[4]   Verification of a Portable Motion Tracking System for Remote Management of Physical Rehabilitation of the Knee [J].
Bell, Kevin M. ;
Onyeukwu, Chukwudi ;
McClincy, Michael P. ;
Allen, Marcus ;
Bechard, Laura ;
Mukherjee, Abhigyan ;
Hartman, Robert A. ;
Smith, Clair ;
Lynch, Andrew D. ;
Irrgang, James J. .
SENSORS, 2019, 19 (05)
[5]   To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App [J].
Bidargaddi, Niranjan ;
Almirall, Daniel ;
Murphy, Susan ;
Nahum-Shani, Inbal ;
Kovalcik, Michael ;
Pituch, Timothy ;
Maaieh, Haitham ;
Strecher, Victor .
JMIR MHEALTH AND UHEALTH, 2018, 6 (11)
[6]   Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes [J].
Block, Gladys ;
Azar, Kristen M. J. ;
Romanelli, Robert J. ;
Block, Torin J. ;
Hopkins, Donald ;
Carpenter, Heather A. ;
Dolginsky, Marina S. ;
Hudes, Mark L. ;
Palaniappan, Latha P. ;
Block, Clifford H. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2015, 17 (10)
[7]   Ancillary study to the PREFER trial: A descriptive study of participants' patterns of self-monitoring - rationale, design and preliminary experiences [J].
Burke, LE ;
Sereika, S ;
Choo, J ;
Warziski, M ;
Music, E ;
Styn, M ;
Novak, J ;
Stone, A .
CONTEMPORARY CLINICAL TRIALS, 2006, 27 (01) :23-33
[8]   Self-monitoring dietary intake: Current and future practices [J].
Burke, LE ;
Warziski, M ;
Starrett, T ;
Choo, J ;
Music, E ;
Sereika, S ;
Stark, S ;
Sevick, MA .
JOURNAL OF RENAL NUTRITION, 2005, 15 (03) :281-290
[9]   Using instrumented paper diaries to document self-monitoring patterns in weight loss [J].
Burke, Lora E. ;
Sereika, Susan M. ;
Music, Edvin ;
Warziski, Melanie ;
Styn, Mindi A. ;
Stone, Arthur .
CONTEMPORARY CLINICAL TRIALS, 2008, 29 (02) :182-193
[10]   Effect of tailored, daily feedback with lifestyle self-monitoring on weight loss: The SMARTER randomized clinical trial [J].
Burke, Lora E. ;
Sereika, Susan M. ;
Parmanto, Bambang ;
Bizhanova, Zhadyra ;
Kariuki, Jacob K. ;
Cheng, Jessica ;
Beatrice, Britney ;
Loar, India ;
Pulantara, I. Wayan ;
Wang, Yuhan ;
Cedillo, Maribel ;
Conroy, Molly B. .
OBESITY, 2022, 30 (01) :75-84