Longitudinal Accuracy of Web-Based Self-Reported Weights: Results From the Hopkins POWER Trial

Background Websites and phone apps are increasingly used to track weights during weight loss interventions, yet the longitudinal accuracy of these self-reported weights is uncertain. Objective Our goal was to compare the longitudinal accuracy of self-reported weights entered online during the course of a randomized weight loss trial to measurements taken in the clinic. We aimed to determine if accuracy of self-reported weight is associated with weight loss and to determine the extent of misclassification in achieving 5% weight loss when using self-reported compared to clinic weights. Methods This study examined the accuracy of self-reported weights recorded online among intervention participants in the Hopkins Practice-Based Opportunities for Weight Reduction (POWER) trial, a randomized trial examining the effectiveness of two lifestyle-based weight loss interventions compared to a control group among obese adult patients with at least one cardiovascular risk factor. One treatment group was offered telephonic coaching and the other group was offered in-person individual coaching and group sessions. All intervention participants (n=277) received a digital scale and were asked to track their weight weekly on a study website. Research staff used a standard protocol to measure weight in the clinic. Differences (self-reported weight – clinic weight) indicate if self-report under (-) or over (+) estimated clinic weight using the self-reported weight that was closest in time to the clinic weight and was within a window ranging from the day of the clinic visit to 7 days before the 6-month (n=225) and 24-month (n=191) clinic visits. The absolute value of the differences (absolute difference) describes the overall accuracy. Results Underestimation of self-reported weights increased significantly from 6 months (mean -0.5kg, SD 1.0kg) to 24 months (mean -1.1kg, SD 2.0kg; P=.002). The average absolute difference also increased from 6 months (mean 0.7kg, SD 0.8kg) to 24 months (mean 1.3, SD 1.8kg; P<.001). Participants who achieved the study weight loss goal at 24 months (based on clinic weights) had lower absolute differences (P=.01) compared to those who did not meet this goal. At 24 months, there was 9% misclassification of weight loss goal success when using self-reported weight compared to clinic weight as an outcome. At 24 months, those with self-reported weights (n=191) had three times the weight loss compared to those (n=73) without self-reported weights (P<.001). Conclusions Underestimation of weight increased over time and was associated with less weight loss. In addition to intervention adherence, weight loss programs should emphasize accuracy in self-reporting. Trial Registration ClinicalTrials.gov: NCT00783315; http://clinicaltrials.gov/show/NCT00783315 (Archived by WebCite at http://www.webcitation.org/6R4gDAK5K).

[1]  Peter Stanwell,et al.  How Accurate is Web-Based Self-Reported Height, Weight, and Body Mass Index in Young Adults? , 2014, Journal of medical Internet research.

[2]  L. Appel,et al.  Treatment of Obesity in Primary Care Practice: The Practice Based Opportunities for Weight Reduction (POWER) Trial at Johns Hopkins. , 2009, Obesity and weight management.

[3]  R. Merrill,et al.  Validity of Self-Reported Height, Weight, and Body Mass Index: Findings from the National Health and Nutrition Examination Survey, 2001-2006 , 2009, Preventing chronic disease.

[4]  Ilkka Korhonen,et al.  Use of a mobile phone diary for observing weight management and related behaviours , 2010, Journal of telemedicine and telecare.

[5]  P. Surkan,et al.  Feasibility of a novel web-based physical activity questionnaire for young children , 2012, Pediatric reports.

[6]  Brian C. Martinson,et al.  The Use of Telehealth Technology in Assessing the Accuracy of Self-Reported Weight and the Impact of a Daily Immediate-Feedback Intervention among Obese Employees , 2011, International journal of telemedicine and applications.

[7]  M. Neve,et al.  Effectiveness of web‐based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta‐analysis , 2010, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[8]  J. Harvey-Berino,et al.  The accuracy of weight reported in a web-based obesity treatment program. , 2011, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[9]  Bryant T Karras,et al.  Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends , 2005, Journal of medical Internet research.

[10]  C. Sempos,et al.  Ethnic variation in validity of classification of overweight and obesity using self-reported weight and height in American women and men: the Third National Health and Nutrition Examination Survey , 2005, Nutrition journal.

[11]  M. Sevick,et al.  Self-monitoring in weight loss: a systematic review of the literature. , 2011, Journal of the American Dietetic Association.

[12]  Thomas A Louis,et al.  Comparative effectiveness of weight-loss interventions in clinical practice. , 2011, The New England journal of medicine.

[13]  Deborah F Tate,et al.  A self-regulation program for maintenance of weight loss. , 2006, The New England journal of medicine.

[14]  D. Moher,et al.  A comparison of direct vs. self‐report measures for assessing height, weight and body mass index: a systematic review , 2007, Obesity reviews : an official journal of the International Association for the Study of Obesity.