The metabolic load-capacity model and cardiometabolic health in children and youth with obesity

Authors

• Camila E. Orsso, University of Alberta, Edmonton, Alberta, Canada
• Flavio T. Vieira, University of Alberta, Edmonton, Alberta, Canada
• Nandini Basuray, University of Alberta, Edmonton, Alberta, Canada
• Reena L. Duke, University of Alberta, Edmonton, Alberta, Canada
• Mohammadreza Pakseresht, University of Alberta, Edmonton, Alberta, Canada
• Daniela A. Rubin, California State University Fullerton, Fullerton, CA
• Faria Ajamian, University of Alberta, Edmonton, Alberta, Canada
• Geoff D C Ball, University of Alberta, Edmonton, Alberta, Canada
• Catherine J. Field, University of Alberta, Edmonton, Alberta, Canada
• Steven B. Heymsfield, Pennington Biomedical Research Center, Baton Rouge, LA
• Mario Siervo, Curtin University School of Population Health, Perth, Australia
• Carla M. Prado, University of Alberta, Edmonton, Alberta, Canada
• Andrea M. Haqq, University of Alberta, Edmonton, Alberta, Canada

Document Type

Article

Publication Date

1-23-2024

Publication Title

Pediatric Obesity

Abstract

Background: The metabolic load-capacity index (LCI), which represents the ratio of adipose to skeletal muscle tissue-containing compartments, is potentially associated with cardiometabolic diseases. Objectives: To examine the associations between the LCI and cardiometabolic risk factors in children and youth with obesity. Methods: This is a cross-sectional study including 10-18 years-old participants with a BMI of ≥95th . LCI by air-displacement plethysmography (ADP) was calculated as fat mass divided by fat-free mass, and LCI by ultrasound (US) as subcutaneous adipose tissue divided by skeletal muscle thickness. Sex-specific medians stratified participants into high versus low LCI. Single (inflammation, insulin resistance, dyslipidemia and hypertension) and clustered cardiometabolic risk factors were evaluated. Linear and logistic regression models tested the associations between these variables, adjusted for sexual maturation. Results: Thirty-nine participants (43.6% males; 59% mid-late puberty) aged 12.5 (IQR: 11.1-13.5) years were included. LCI by ADP was positively associated with markers of inflammation and dyslipidemia; having a higher LCI predicted dyslipidemia in logistic regression. Similarly, LCI by US was positively associated with markers of dyslipidemia and blood pressure. In mid-late pubertal participants, LCI by US was positively associated with markers of insulin resistance and inflammation. Conclusions: Participants with unfavourable cardiometabolic profile had higher LCI, suggesting its potential use for predicting and monitoring cardiometabolic health in clinical settings.

First Page

1

Last Page

14

DOI

10.1111/ijpo.13098

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Orsso, Camila E.; Vieira, Flavio T.; Basuray, Nandini; Duke, Reena L.; Pakseresht, Mohammadreza; Rubin, Daniela A.; Ajamian, Faria; Ball, Geoff D C; Field, Catherine J.; Heymsfield, Steven B.; Siervo, Mario; Prado, Carla M.; and Haqq, Andrea M., "The metabolic load-capacity model and cardiometabolic health in children and youth with obesity" (2024). LSU-LCMC Cancer Center Faculty Publications. 189.
https://digitalscholar.lsuhsc.edu/llcc_facpubs/189
10.1111/ijpo.13098