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Exploring Determinants of Successful Weight Loss with the Use of a Smartphone Healthcare Application: Secondary Analysis of a Randomized Clinical Trial

Overview
Journal Nutrients
Date 2024 Jul 13
PMID 38999857
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Abstract

Dietary and physical activity interventions through smartphone healthcare applications (apps) have recently surged in popularity as effective methods for weight loss. However, the specific factors contributing to successful weight loss remain uncertain. We conducted an analysis of baseline characteristics and app usage frequencies over three months among 68 Japanese adults with overweight and obesity who were assigned to the intervention group in a previous randomized controlled trial. Logistic regression analysis revealed a negative association (OR: 0.248; = 0.018) between having a walking habit at baseline and successful weight loss, defined as a 3% reduction in initial weight. Additionally, slower walking speeds and family medical history were identified as potential predictors of successful weight loss. These findings offer insights into the profile of individuals who achieve success in weight loss through our smartphone app, providing valuable guidance for the development of future healthcare apps.

References
1.
Stansbury M, Harvey J, Krukowski R, Pellegrini C, Wang X, West D . Distinguishing early patterns of physical activity goal attainment and weight loss in online behavioral obesity treatment using latent class analysis. Transl Behav Med. 2021; 11(12):2164-2173. PMC: 8672928. DOI: 10.1093/tbm/ibab130. View

2.
Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K . Classifying household and locomotive activities using a triaxial accelerometer. Gait Posture. 2010; 31(3):370-4. DOI: 10.1016/j.gaitpost.2010.01.005. View

3.
Jensen M, Ryan D, Apovian C, Ard J, Comuzzie A, Donato K . 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2013; 129(25 Suppl 2):S102-38. PMC: 5819889. DOI: 10.1161/01.cir.0000437739.71477.ee. View

4.
Painter S, Ahmed R, Hill J, Kushner R, Lindquist R, Brunning S . What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring. J Med Internet Res. 2017; 19(5):e160. PMC: 5446667. DOI: 10.2196/jmir.7457. View

5.
Krukowski R, Harvey-Berino J, Bursac Z, Ashikaga T, West D . Patterns of success: online self-monitoring in a web-based behavioral weight control program. Health Psychol. 2012; 32(2):164-70. PMC: 4993110. DOI: 10.1037/a0028135. View