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Ignoring regression to the mean leads to unsupported conclusion about obesity

  • Asheley Cockrell Skinner
  • , Steven B. Heymsfield
  • , Angelo Pietrobelli
  • , Myles S. Faith
  • , David B. Allison
  • University of North Carolina at Chapel Hill
  • LSU Pennington Biomedical Research Center
  • University of Verona
  • University of Alabama at Birmingham
  • Continuum Health Partners, Inc.

Research output: Contribution to journalComment/debate

25 Scopus citations

Abstract

Childhood obesity remains a substantial health concern for our population and thoughtful attempts to develop and evaluate the utility of programs to reduce childhood obesity levels are needed. Unfortunately, we believe the conclusion by Burke et al. that the HealthMPowers program produces positive change in body composition is incorrect because the results obtained are likely due to regression to the mean (RTM), a well-known threat to the validity of studies that is often overlooked. Using empirical data, we demonstrate that RTM is likely to be the cause for the changes reported. A more reasonable conclusion than the one of effectiveness the authors offered would be that the results did not support the effectiveness of the intervention. Public health officials, parents, school leaders, community leaders, and regulators need and deserve valid evidence free from spin on which they can base decisions.

Original languageEnglish
Article number56
JournalInternational Journal of Behavioral Nutrition and Physical Activity
Volume12
Issue number1
DOIs
StatePublished - May 7 2015

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