Title |
Ignoring regression to the mean leads to unsupported conclusion about obesity
|
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Published in |
International Journal of Behavioral Nutrition and Physical Activity, May 2015
|
DOI | 10.1186/s12966-015-0212-6 |
Pubmed ID | |
Authors |
Asheley Cockrell Skinner, Steven B Heymsfield, Angelo Pietrobelli, Myles S Faith, David B Allison |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 47% |
Sweden | 1 | 6% |
Canada | 1 | 6% |
Australia | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 7 | 41% |
Scientists | 5 | 29% |
Members of the public | 5 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 16% |
Student > Ph. D. Student | 5 | 16% |
Other | 2 | 6% |
Professor | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 7 | 22% |
Unknown | 9 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 25% |
Social Sciences | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Computer Science | 2 | 6% |
Psychology | 2 | 6% |
Other | 5 | 16% |
Unknown | 10 | 31% |