Testing strategies to maximize weight loss while preventing excessive loss of lean tissue
For aging adults, weight loss can improve cardiometabolic health, but excessive muscle loss may threaten physical function and independence. Here in Alabama, nearly 39% of adults, including 43.6% of adults ages 45-64, have obesity and more than one-third of the population is aged 50-75.
Adults 50-75 often experience a high burden of obesity-related chronic diseases while also facing an increased risk of sarcopenia, the age-related loss of muscle mass, quality, and strength. While losing even modest amounts of weight can significantly improve blood pressure, blood sugar, and cholesterol levels, researchers are increasingly focused on ensuring that weight loss interventions do not unintentionally lead to muscle loss.
To address this challenge, Drew Sayer, Ph.D., is conducting a clinical trial using a Sequential Multiple Assignment Randomized Trial (SMART) design, an approach allowing researchers to adapt treatment strategies based on an individual participant’s response.
Study participants will initially be randomized to either a high-protein or standard-protein calorie-restricted diet. After eight weeks, researchers will assess each person’s progress and determine whether additional support is needed. Those who are not responding optimally will then be randomized to receive one of two intervention strategies: protein supplementation or supervised resistance exercise training.
The research, funded by the National Institute of Diabetes and Digestive and Kidney Diseases, will investigate adaptive behavioral weight loss interventions initiating with either a high or standard protein diet and augmentation strategies for early non-responders of either daily protein supplementation or supervised resistance exercise training to optimize weight loss and muscle preservation in older adults with obesity.
Learn more about eligibility requirements
Principal Investigator: Drew Sayer, Ph.D.
Coordinator: James Friedman
Scientist/interventionist: Katie Ellison, Ph.D., RDN, LDN
Data analyst: Adele Fowler, Ph.D.