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[Research News] Walking Speed as a Simple Predictor of Metabolic Health in Obese Individuals

Dec.19,2024 Update
20240327ResearchNews A Flowchart illustrating the study participants, including exclusions based on age and missing data, and categorization by obesity criteria (BMI and waist circumference).
Researchers from Doshisha University used walking speed assessments to reveal that individuals with obesity who perceived their subjective walking speed as fast had a lower likelihood of metabolic diseases. This study highlights the potential for earlier intervention in preventing the cascade of diseases associated with obesity.※
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Professor Kojiro Ishii, Faculty of Health and Sports Science, and his team reveal subjective walking speed as a quick, equipment-free tool for identifying metabolic health risks.
Ishii’s team has found that subjective walking speed, assessed by asking individuals to compare their pace with peers, is linked to lower odds of metabolic diseases like diabetes, hypertension, and dyslipidemia in individuals with obesity. This simple, equipment-free assessment could serve as an effective tool in health examinations, paving the way for earlier interventions to prevent the “metabolic domino effect” triggered by obesity-related disorders.

Reference
Yuiko Yamamoto, Kentaro Ikeue, Megumi Kanasaki, Hajime Yamakage, Kan Oishi, Takaaki Mori, Noriko Satoh-Asahara, Izuru Masuda & Kojiro Ishii. Association between subjective walking speed and metabolic diseases in individuals with obesity: a cross-sectional analysis. Sci Rep 14, 28228 (2024).
https://doi.org/10.1038/s41598-024-78541-w

For more details, please see the website of Organization for Research Initiatives and Development, Doshisha University.
 Walking Speed as a Simple Predictor of Metabolic Health in Obese Individuals.

This achievement has also been featured in the “EurekAlert!.”NEWS RELEASE 19-DEC-2024,
[Research News] Walking Speed as a Simple Predictor of Metabolic Health in Obese Individuals


Credit: Kojiro Ishii from Doshisha University, Japan
License type:CC BY-NC-ND 4.0
Usage restriction:Credit must be given to the creator. Only noncommercial uses of the work are permitted. No derivatives or adaptations of the work are permitted.

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