Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: The POUNDS LOST study

Journal of Diabetes Science and Technology

Volumn 6, Issue 5, 2012, Pages 1216-1225

  Anton, Stephen D ^a   LeBlanc, Eric ^b   Allen, H Raymond ^b   Karabetian, Christy ^c   Sacks, Frank ^d   Bray, George ^b   Williamson, Donald A ^b  

^a UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^b PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

^d HARVARD UNIVERSITY   (United States)

Author keywords

Computerized tracking system; Self monitoring; Smart phones; Weight loss

Indexed keywords

CARBOHYDRATE; FAT; PROTEIN;

ADULT; AGE; AGED; ARTICLE; BODY MASS; CALORIC INTAKE; CALORIC RESTRICTION; COMPUTER AIDED DESIGN; COMPUTERIZED TRACKING SYSTEM; CONTROLLED STUDY; DIETARY COMPLIANCE; FEEDBACK SYSTEM; FEMALE; FOOD INTAKE; HUMAN; MACRONUTRIENT; MALE; MEDICAL INFORMATION SYSTEM; NON INSULIN DEPENDENT DIABETES MELLITUS; NUTRITIONAL ASSESSMENT; OBESITY; PHYSICAL ACTIVITY; RACE DIFFERENCE; SELF MONITORING; SEX DIFFERENCE; WAIST CIRCUMFERENCE; WEIGHT CHANGE; WEIGHT REDUCTION; BEHAVIOR THERAPY; COMPUTER; CONTROLLED CLINICAL TRIAL; DIET; DIET THERAPY; HEALTH PROMOTION; INSTRUMENTATION; INTERNET; METHODOLOGY; MIDDLE AGED; MULTIMODALITY CANCER THERAPY; ORGANIZATION AND MANAGEMENT; PATIENT CARE PLANNING; PATIENT IDENTIFICATION; PHYSIOLOGIC MONITORING; PHYSIOLOGY; RANDOMIZED CONTROLLED TRIAL; UTILIZATION REVIEW;

ADULT; AGED; BEHAVIOR THERAPY; CALORIC RESTRICTION; COMBINED MODALITY THERAPY; COMPUTERS; DIABETES MELLITUS, TYPE 2; DIET; FEEDBACK; FEMALE; HEALTH PROMOTION; HUMANS; INTERNET; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; OBESITY; PATIENT CARE PLANNING; PATIENT IDENTIFICATION SYSTEMS; WEIGHT LOSS;

EID: 84875808527     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681200600527     Document Type: Article

References (29)

1. Ogden CL, Yanovski SZ, Carroll MD, Flegal KM. The epidemiology of obesity. Gastroenterology. 2007;132(6):2087-102. (Pubitemid 46693751)
2. Bray GA, Smith SR, de Jonge L, Xie H, Rood J, Martin CK, Most M, Brock C, Mancuso S, Redman LM. Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA. 2012;307(1):47-55.
3. Scheen AJ. The future of obesity: new drugs versus lifestyle interventions. Expert Opin Investig Drugs. 2008;17(3):263-7. (Pubitemid 351578179)
4. Perri MG, Foreyt JP, Anton SD. Preventing weight regain after weight loss. In: Bray GA, Bouchard C, eds. Handbook of obesity treatment: clinical applications. 3rd ed. New York: Informa Healthcare; 2011.
5. Germann JN, Kirschenbaum DS, Rich BH. Child and parental self-monitoring as determinants of success in the treatment of morbid obesity in low-income minority children. J Pediatr Psychol. 2007;32(1):111-21. (Pubitemid 46058634)
6. Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: A systematic review of the literature. J Am Diet Assoc. 2011;111(1):92-102.
7. McDoniel SO, Wolskee P, Shen J. Treating obesity with a novel hand-held device, computer software program, and Internet technology in primary care: The SMART motivational trial. Patient Educ Couns. 2010;79(2):185-91.
8. Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc. 2011;111(4):583-8.
9. Krukowski RA, Harvey-Berino J, Ashikaga T, Thomas CS, Micco N. Internet-based weight control: the relationship between web features and weight loss. Telemed J E Health. 2008;14(8):775-82.
10. Glanz K, Murphy S, Moylan J, Evensen D, Curb JD. Improving dietary self-monitoring and adherence with hand-held computers: a pilot study. Am J Health Promot. 2006;20(3):165-70. (Pubitemid 43107676)
11. Patrick K, Calfas KJ, Norman GJ, Rosenberg D, Zabinski MF, Sallis JF, Rock CL, Dillon LW. Outcomes of a 12-month web-based intervention for overweight and obese men. Ann Behav Med. 2011;42(3):391-401.
12. Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, Griswold WG, Norman GJ. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009;11(1):e1.
13. Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an internet weight loss program. Arch Intern Med. 2006;166(15):1620-5. (Pubitemid 44232371)
14. Tate DF, Wing RR, Winett RA. Using internet technology to deliver a behavioral weight loss program. JAMA. 2001;285(9):1172-7. (Pubitemid 32198482)
15. Haapala I, Barengo NC, Biggs S, Surakka L, Manninen P. Weight loss by mobile phone: a 1-year effectiveness study. Public Health Nutr. 2009;12(12):2382-91.
16. Morgan PJ, Lubans DR, Collins CE, Warren JM, Callister R. 12-Month outcomes and process evaluation of the SHED-IT RCT: An internet-based weight loss program targeting men. Obesity (Silver Spring). 2011;19(1):142-51.
17. Hall SP, Anderson E. Operating systems for mobile computing. J Comput Sci Colleges. 2009;25(2):64-71.
18. Research in Motion. Nextel, RIM and Motorola agree to produce voice-enabled handheld. http://press.rim.com/release.jsp?id=746.
19. Apple. Apple reinvents the phone with iPhone. http://www.apple.com/pr/ library/2007/01/09Apple-Reinvents-the-Phone-with-iPhone.html.
20. Cisco. Cisco visual networking index: global mobile data trafic forecast update, 2011-2016. http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ ns537/ns705/ns827/white-paper-c11-520862.pdf.
21. Yon BA, Johnson RK, Harvey-Berino J, Gold BC, Howard AB. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. J Behav Med. 2007;30(2):165-75. (Pubitemid 46426943)
22. Burke LE, Conroy MB, Sereika SM, Elci OU, Styn MA, Acharya SD, Sevick MA, Ewing LJ, Glanz K. The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity (Silver Spring). 2011;19(2):338-44.
23. Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, McManus K, Champagne CM, Bishop LM, Laranjo N, Lebof MS, Rood JC, de Jonge L, Greenway FL, Loria CM, Obarzanek E, Williamson DA. Comparison of weight-loss diets with diferent compositions of fat, protein, and carbohydrates. N Engl J Med. 2009;360(9):859-73.
24. Williamson DA, Anton SD, Han H, Champagne CM, Allen R, LeBlanc E, Ryan DH, McManus K, Laranjo N, Carey VJ, Loria CM, Bray GA, Sacks FM. Adherence is a multi-dimensional construct in the POUNDS LOST trial. J Behav Med. 2010;33(1):35-46.
25. Williamson DA, Anton SD, Han H, Champagne CM, Allen R, Leblanc E, Ryan DH, Rood J, McManus K, Laranjo N, Carey VJ, Loria CM, Bray GA, Sacks FM. Early behavioral adherence predicts short and long-term weight loss in the POUNDS LOST study. J Behav Med. 2010;33(4):305-14.
26. Anton SD, Han H, Bray G, Sacks F, Williamson DA. Demographic and macronutrient diet characteristics influence adherence to calorie restricted diets: findings from the POUNDS LOST trial. Obesity. 2011;19 Suppl 1:S101.
27. Anton SD, LeBlanc E, Allen HR, Bray G, Champagne C, Obarzanek E, Ryan D, Sacks F, Williamson D. Does usage of a computer tracking system to monitor food intake predict weight change over time? Obesity. 2007.
28. Lee D, Helal S, Anton S, De Deugd S, Smith A. Participatory and Persuasive Telehealth. Gerontology. 2012;58(3):269-81.
29. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol. 1995;24(2):389-98.