Could Proposed New Criteria Transform Obesity Prevalence?

Synopsis
Key Takeaways
- Obesity prevalence may decrease significantly under new criteria.
- Variations exist in results by country and gender.
- Potential false security for individuals no longer classified as obese.
- Challenges in implementation of new criteria must be considered.
- Research collaboration spans multiple international institutions.
New York, July 27 (NationPress) An international research team has discovered that the prevalence of obesity could undergo a substantial shift under newly proposed criteria, potentially complicating the prevention and early detection of serious health issues.
The study, published in Plos Global Public Health, examined data across 56 countries to compare the prevalence of both pre-clinical and clinical obesity using existing BMI criteria versus the proposed criteria that necessitate the presence of at least one health condition—such as diabetes, hypertension, or high cholesterol—for a person to be classified as clinically obese.
“Obesity is a significant issue, and the definitions we establish carry implications for clinical treatments, healthcare costs, disease monitoring, and individual awareness regarding health risks. Thus, it is vital to grasp how any new definition might alter the prevalence of obesity,” stated lead author Rodrigo Carrillo-Larco, an assistant professor of global health at Emory University’s Rollins School of Public Health.
The research involved contributions from scholars at Emory University and Johns Hopkins University in the US, University of Queensland in Australia, Zhejiang University School of Medicine in China, as well as Universidad Peruana Cayetano Heredia and Universidad Cientifica del Sur in Peru.
When health conditions were included in the obesity criteria, prevalence dropped significantly among the 142,250 adults studied—with some countries experiencing reductions of over 50 percent. However, the results varied by nation and gender.
For instance, the East African nation of Malawi displayed one of the highest reductions in obesity prevalence under the proposed definition, with declines differing between men (68 percent) and women (53 percent).
While the new definition may align more closely with existing disease risks, researchers cautioned against hastily adopting the proposed standard for obesity surveillance, as it could lead to substantial challenges in measurement, equity, and execution. Moreover, individuals who would no longer be classified as obese might develop a misleading sense of security.
“At the population level, we could anticipate a decrease in obesity prevalence, but we must recognize that it’s an artificial decline due to the stricter or more complex new definition—that reduction in obesity is not genuine,” Carrillo-Larco remarked.