Related Experiment Video
Updated: Jun 14, 2025

Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
Published on: December 1, 2023
Searching for the Scale-Able Weight Loss Intervention: Can One Size Fit All? Lessons to Be Learned from the EQUAL
Travis R Moore1, Wendy Demark-Wahnefried2
1Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Abstract:
Overweight and obesity affect 71.2% of adults in the United States, with cancer survivors not far behind at 70.3%. Subgroups such as those diagnosed with acute lymphoblastic leukemia (ALL) face even greater challenges. The Exercise and Quality Diet after Leukemia (EQUAL) trial sought to address weight management issues among ALL survivors by implementing a remotely delivered weight loss intervention, leveraging the previously proven Practice-based Opportunities for Weight Reduction (POWER) program. Despite a strong foundation and design, the EQUAL trial yielded null results. Key differences in study populations and intervention contexts between the EQUAL and POWER trials, such as the lack of primary care physician involvement in EQUAL, contributed to these outcomes. EQUAL's failure to meet its accrual target and poor adherence among participants highlighted challenges in engaging this unique population. Contrary to EQUAL's conclusions, evidence from other studies supports the efficacy of remote interventions for weight loss among cancer survivors. The lack of qualitative assessment among ALL survivors and key integration to inform intervention adaptations undermined EQUAL's impact. However, EQUAL's impressive retention rate offers valuable insights. Lessons from EQUAL underscore the need for well-fitted, remotely delivered interventions and the importance of thoughtfully adapted and tailored approaches to specific survivor populations. See related article by Fiedmann et al., p. 1158.
Related Concept Videos
Regression Toward the Mean
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes

