Differences in Self-Monitoring Technology Use and Perceptions Between National Weight Control Registry Participants Maintaining and Regaining Weight

被引:0
作者
Carly M. Goldstein [1 ]
Stephanie P. Goldstein [2 ]
Benjamin T. Ladd [1 ]
Rena R. Wing [2 ]
John Graham Thomas [1 ]
机构
[1] The Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI
[2] Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI
关键词
Obesity; Technology; Weight loss; Weight trajectory;
D O I
10.1007/s41347-024-00448-0
中图分类号
学科分类号
摘要
Self-monitoring technology (e.g., smartphone applications) aids weight loss, but its role in weight maintenance remains under studied. To evaluate use and perceptions of self-monitoring technologies in National Weight Control Registry (NWCR) participants (adults who have maintained a ≥ 30lbs loss for ≥ 1 year) who maintained versus regained weight. NWCR participants completed an online survey about self-monitoring technology use and perceptions. Of 1,000 invited participants, 794 completed the survey. Those who reported gaining ≥ 2.3 kg (5lbs) in the past year were categorized as the “regain” group (40.8%); those reporting < 2.3 kg gain were the “maintain” group (59.2%). The sample (n = 794) was mostly female, White, middle-aged adults. “Regain” was more interested in technology than paper-based methods to self-monitor weight (p <.01) and diet (p <.01) but not exercise (p =.23) than “maintain”. There were no differences in wearable trackers interest, most valued features, or use barriers, but the “regain” group was more likely to report guilt, discouragement, body image concerns, and anxiety about weight loss when using behavior-tracking technologies (p <.001); rates of discontinuation from these feelings or unhealthy weight control practices were not different between groups. This appears to be the first study investigating naturalistic use of self-monitoring technology in a demographically homogenous sample maintaining significant weight loss. The “regain” group was more likely to use self-monitoring technology but reported more tracking-associated negative feelings. Future research must determine how to support individuals emotionally and with weight maintenance when self-monitoring contributes to negative byproducts. Other work should identify the optimal elements of self-monitoring technology for weight loss maintenance. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
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页码:450 / 460
页数:10
相关论文
共 40 条
[1]  
Almirall D., Nahum-Shani I., Sherwood N.E., Murphy S.A., Introduction to SMART designs for the development of adaptive interventions: With application to weight loss research, Translational Behavioral Medicine, 4, 3, pp. 260-274, (2014)
[2]  
Asbjornsen R.A., Wentzel J., Smedsrod M.L., Hjelmesaeth J., Clark M.M., Solberg Nes L., Van Gemert-Pijnen J.E.W.C., Identifying persuasive design principles and behavior change techniques supporting end user values and needs in eHealth interventions for long-term weight loss maintenance: Qualitative study, Journal of Medical Internet Research, 22, 11, (2020)
[3]  
Azar K.M., Lesser L.I., Laing B.Y., Stephens J., Aurora M.S., Burke L.E., Palaniappan L.P., Mobile applications for weight management: Theory-based content analysis, American Journal of Preventive Medicine, 45, 5, pp. 583-589, (2013)
[4]  
Burke L.E., Wang J., Sevick M.A., Self-monitoring in weight loss: A systematic review of the literature, Journal of the American Dietetic Association, 111, 1, pp. 92-102, (2011)
[5]  
Butryn M.L., Godfrey K., Martinelli M.K., Roberts S.R., Forman E.M., Zhang F., Digital self-monitoring: Does adherence or association with outcomes differ by self-monitoring target?, Obesity Science & Practice, 6, 2, pp. 126-133, (2020)
[6]  
Butryn M.L., Phelan S., Hill J.O., Wing R.R., Consistent self-monitoring of weight: A key component of successful weight loss maintenance, Obesity (Silver Spring), 15, 12, pp. 3091-3096, (2007)
[7]  
Chudyk A., Shapiro S., Russell-Minda E., Petrella R., Self-monitoring technologies for type 2 diabetes and the prevention of cardiovascular complications: Perspectives from end users, Journal of Diabetes Science and Technology, 5, 2, pp. 394-401, (2011)
[8]  
Dennison L., Morrison L., Conway G., Yardley L., Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study, Journal of Medical Internet Research, 15, 4, (2013)
[9]  
Doshi A., Patrick K., Sallis J.F., Calfas K., Evaluation of physical activity web sites for use of behavior change theories, Annals of Behavioral Medicine, 25, 2, pp. 105-111, (2003)
[10]  
Doyle-Delgado K., Chamberlain J.J., Use of diabetes-related applications and digital health tools by people with diabetes and their health care providers, Clinical Diabetes, 38, 5, pp. 449-461, (2020)