Use of Wearable Device Does Not Improve Weight Loss

Among overweight or obese young adults, the addition of a wearable technology device (that provided feedback on physical activity) to a standard behavioral intervention resulted in less weight loss over 24 months, according to a study appearing in the September 20 issue of JAMA. Effective long-term treatments are needed to address the obesity epidemic. There is wide availability of commercial technologies for physical activity and diet. These technologies include wearable devices to monitor physical activity, with many also including an interface to monitor diet. These technologies may provide a method to improve longer-term weight loss; however, there are limited data on the effectiveness of such technologies for modifying health behaviors long term.

John M. Jakicic, Ph.D., of the University of Pittsburgh, and colleagues randomly assigned study participants to a standard behavioral weight loss intervention (n = 233) or technology-enhanced weight loss intervention (n = 237). Participants (body mass index [BMI], 25 to <40; age range, 18-35 years; 29 percent nonwhite; 77 percent women) were placed on a low-calorie diet, prescribed increases in physical activity, and had group counseling sessions. At 6 months, the interventions added telephone counseling sessions, text message prompts, and access to study materials on a website. Also at 6 months, participants randomized to the standard intervention group initiated self-monitoring of diet and physical activity using a website, and those randomly assigned to the enhanced intervention group were provided with a wearable device and accompanying web interface to monitor diet and physical activity. The trial was conducted between October 2010 and October 2012.

Seventy-five percent of participants completed the study. The researchers found that weight change at 24 months differed significantly by intervention group. Estimated average weights for the enhanced intervention group were 212 lbs. at study entry and 205 lbs. at 24 months, resulting in an average weight loss of about 7.7 lbs. Corresponding values for the standard intervention group were 210 lbs. at baseline and 197 lbs. at 24 months, for an average loss of 13 lbs. At 24 months, weight loss was 5.3 lbs. lower in the enhanced intervention group compared with the standard intervention group.

Both groups had significant improvements in body composition, fitness, physical activity, and diet, with no significant difference between groups.

"Devices that monitor and provide feedback on physical activity may not offer an advantage over standard behavioral weight loss approaches," the authors write.

The researchers add that the reason for the difference in weight loss between the groups warrants further investigation.

Jakicic JM, Davis KK, Rogers RJ, et al.
Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial.
JAMA. 2016;316(11):1161-1171. doi:10.1001/jama.2016.12858.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...