Mobile Applications for Weight Management Theory-Based Content Analysis

被引:220
作者
Azar, Kristen M. J. [1 ]
Lesser, Lenard I. [1 ]
Laing, Brian Y. [2 ]
Stephens, Janna [3 ]
Aurora, Magi S. [1 ]
Burke, Lora E. [4 ]
Palaniappan, Latha P. [1 ]
机构
[1] Palo Alto Med Fdn Res Inst, Palo Alto, CA 94301 USA
[2] Univ Calif Los Angeles, Dept Family Med, Los Angeles, CA USA
[3] Johns Hopkins Univ, Sch Nursing, Baltimore, MD USA
[4] Univ Pittsburgh, Sch Nursing, Pittsburgh, PA 15261 USA
关键词
RANDOMIZED CONTROLLED-TRIAL; LOSS MAINTENANCE; PHYSICAL-ACTIVITY; ADULTS; OBESE; INTERVENTION; EXERCISE; OVERWEIGHT; HEALTH; APPS;
D O I
10.1016/j.amepre.2013.07.005
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The use of smartphone applications (apps) to assist with weight management is increasingly prevalent, but the quality of these apps is not well characterized. Purpose: The goal of the study was to evaluate diet/nutrition and anthropometric tracking apps based on incorporation of features consistent with theories of behavior change. Methods: A comparative, descriptive assessment was conducted of the top-rated free apps in the Health and Fitness category available in the iTunes App Store. Health and Fitness apps (N=200) were evaluated using predetermined inclusion/exclusion criteria and categorized based on commonality in functionality, features, and developer description. Four researchers then evaluated the two most popular apps in each category using two instruments: one based on traditional behavioral theory (score range: 0-100) and the other on the Fogg Behavioral Model (score range: 0-6). Data collection and analysis occurred in November 2012. Results: Eligible apps (n=23) were divided into five categories: (1) diet tracking; (2) healthy cooking; (3) weight/anthropometric tracking; (4) grocery decision making; and (5) restaurant decision making. The mean behavioral theory score was 8.1 (SD=4.2); the mean persuasive technology score was 1.9 (SD=1.7). The top-rated app on both scales was Lose It! by Fitnow Inc. Conclusions: All apps received low overall scores for inclusion of behavioral theory-based strategies. (C) 2013 American Journal of Preventive Medicine
引用
收藏
页码:583 / 589
页数:7
相关论文
共 47 条
[21]  
Fox S., 2012, Pew Internet and American Life Project
[22]  
Hearn M., 2012, STUDY SUGGESTS 70 PE
[23]   Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change [J].
Hebden, Lana ;
Cook, Amelia ;
van der Ploeg, Hidde P. ;
Allman-Farinelli, Margaret .
JMIR RESEARCH PROTOCOLS, 2012, 1 (02)
[24]   Weight loss during the intensive intervention phase of the Weight-Loss Maintenance trial [J].
Hollis, Jack F. ;
Gullion, Christina M. ;
Stevens, Victor J. ;
Brantley, Phillip J. ;
Appel, Lawrence J. ;
Ard, Jamy D. ;
Champagne, Catherine M. ;
Dalcin, Arlene ;
Erlinger, Thomas P. ;
Funk, Kristine ;
Laferriere, Daniel ;
Lin, Pao-Hwa ;
Loria, Catherine M. ;
Samuel-Hodge, Carmen ;
Vollmer, William M. ;
Svetkey, Laura P. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2008, 35 (02) :118-126
[25]   Accuracy of self-reported exercise and the relationship with weight loss in overweight women [J].
Jakicic, JM ;
Polley, BA ;
Rena, RR .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1998, 30 (04) :634-638
[26]  
Kasbo A., 2012, Mobile health applications: 2012 study
[27]   DISCREPANCY BETWEEN SELF-REPORTED AND ACTUAL CALORIC-INTAKE AND EXERCISE IN OBESE SUBJECTS [J].
LICHTMAN, SW ;
PISARSKA, K ;
BERMAN, ER ;
PESTONE, M ;
DOWLING, H ;
OFFENBACHER, E ;
WEISEL, H ;
HESHKA, S ;
MATTHEWS, DE ;
HEYMSFIELD, SB .
NEW ENGLAND JOURNAL OF MEDICINE, 1992, 327 (27) :1893-1898
[28]  
Melnick M, 2012, FITNESS WEIGHT LOSS
[29]   Rethinking communication in the E-health era [J].
Neuhauser, L ;
Kreps, GL .
JOURNAL OF HEALTH PSYCHOLOGY, 2003, 8 (01) :7-23
[30]   Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis [J].
Neve, M. ;
Morgan, P. J. ;
Jones, P. R. ;
Collins, C. E. .
OBESITY REVIEWS, 2010, 11 (04) :306-321