BALANCE (Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement): Developing New Technology for Monitoring Energy Balance in Real Time

Methods that measure energy balance accurately in real time represent promising avenues to address the obesity epidemic. We developed an electronic food diary on a mobile phone that includes an energy balance visualization and computes and displays the difference between energy intake from food entries and energy expenditure from a multiple-sensor device that provides objective estimates of energy expenditure in real time. A geographic information system dataset containing locations associated with activity and eating episodes is integrated with an ArcPad mapping application on the phone to provide users with a visual display of food sources and locations associated with physical activity within their proximal environment. This innovative tool captures peoples' movement through space and time under free-living conditions and could potentially have many health-related applications in the future.

[1]  W. Riley,et al.  Evaluation of a PDA-based Dietary Assessment and Intervention Program: A Randomized Controlled Trial , 2006, Journal of the American College of Nutrition.

[2]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[3]  M C Limacher,et al.  Can sedentary adults accurately recall the intensity of their physical activity? , 2001, Preventive medicine.

[4]  Gaetano Borriello,et al.  A Practical Approach to Recognizing Physical Activities , 2006, Pervasive.

[5]  M. Tsang,et al.  Improvement in diabetes control with a monitoring system based on a hand-held, touch-screen electronic diary , 2001, Journal of telemedicine and telecare.

[6]  Claude Bouchard,et al.  Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. , 1998, WMJ : official publication of the State Medical Society of Wisconsin.

[7]  Joel W. Cohen,et al.  Spending and service use among people with the fifteen most costly medical conditions, 1997. , 2003, Health affairs.

[8]  Jeannette Beasley,et al.  Accuracy of a PDA-based dietary assessment program. , 2005, Nutrition.

[9]  Blake Hannaford,et al.  A Hybrid Discriminative/Generative Approach for Modeling Human Activities , 2005, IJCAI.

[10]  Deborah F Tate,et al.  The Efficacy of a Technology‐based System in a Short‐term Behavioral Weight Loss Intervention , 2007, Obesity.

[11]  N. Schwarz.  Retrospective and concurrent self-reports: The rationale for real-time data capture , 2007 .

[12]  D. Schoeller,et al.  Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. , 2001, American journal of physiology. Endocrinology and metabolism.

[13]  Tonya L. Smith-Jackson,et al.  Reliability and validity of the mobile phone usability questionnaire (MPUQ) , 2006 .

[14]  Abby G. Ershow,et al.  Engineering Approaches to Energy Balance and Obesity: Opportunities for Novel Collaborations and Research , 2007, Journal of diabetes science and technology.

[15]  J. S. Sodhi,et al.  Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.

[16]  D. Kirschenbaum,et al.  Further support for consistent self-monitoring as a vital component of successful weight control. , 1998, Obesity research.

[17]  William G. Griswold,et al.  Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance , 2006, Mob. Networks Appl..

[18]  Rachel K. Johnson,et al.  Personal Digital Assistants are Comparable to Traditional Diaries for Dietary Self-Monitoring During a Weight Loss Program , 2007, Journal of Behavioral Medicine.

[19]  D. Kirschenbaum,et al.  Self-monitoring may be necessary for successful weight control , 1993 .

[20]  B E Ainsworth,et al.  Compendium of physical activities: an update of activity codes and MET intensities. , 2000, Medicine and science in sports and exercise.

[21]  M. Gail,et al.  Cause-specific excess deaths associated with underweight, overweight, and obesity. , 2007, JAMA.

[22]  Gaetano Borriello,et al.  Validated caloric expenditure estimation using a single body-worn sensor , 2009, UbiComp.