High BMI good screening tool for identifying kids with elevated adiposity: Study affirms

Written By :  Medha Baranwal
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2024-06-28 21:45 GMT   |   Update On 2024-06-28 21:46 GMT
Advertisement

USA: A recent study published in the journal Pediatrics stated that despite its limitations, a high BMI is a very good screening tool for identifying children and adolescents with increased adiposity, as expressed by the percentage of body fat and fat mass index (FMI).

"Among 8- to 19-year-olds, those with a high BMI were 29 times more likely to have a high FMI than those with lower BMIs," the researchers reported.

Advertisement

They noted that a high BMI was also predictive, though less so, of high levels of body fat percentage as well as lean mass index, for which relative risks were 12 and 15, respectively.

Although some studies have recognized the limitations of BMI, there are recent concerns that it is not a good screening tool for adiposity. Therefore, David S. Freedman, Retired from the Centers for Disease Control and Prevention, Atlanta, Georgia, and colleagues examined the cross-sectional relation of BMI to adiposity among 6923 8- to 19-year-olds in the National Health and Nutrition Survey from 2011 through 2018.

For this purpose, the participants were scanned with dual-energy x-ray absorptiometry. Adiposity was expressed as a percentage of body fat (%fat) and the fat mass index (FMI, fat mass kg ÷ m2). Lean mass was expressed as lean mass index (LMI, lean mass ÷ m2). Regression models and 2 × 2 tables assessed the relation of BMI to FMI, %fat, and LMI.

The following were the key findings of the study:

  • Age and BMI accounted (R2) for 90% to 94% of the variability of FMI and LMI in each sex.
  • Associations with %fat were weaker (R2s ∼0.70).
  • The screening abilities of a BMI ≥ Centers for Disease Control and Prevention 95th percentile were also examined for high levels of adiposity and LMI. Cut points were chosen so that prevalences of high values of these variables would be similar to that for high BMI.
  • Of participants with a high BMI, 88% had a high FMI, and 76% had a high %fat.
  • Participants with a high BMI were 29 times more likely to have a high FMI than those with lower BMIs; comparable relative risks were 12 for high %fat and 14 for high LMI.

The findings showed that among 8- to 19-year-olds, BMI is strongly related to high levels of adiposity and LMI, with multiple R2s of 0.90 to 0.94 for FMI and LMI.

"Although the prediction was not perfect, a BMI ≥ CDC 95th percentile was a good indicator of a high %fat and a very good indicator of a high FMI. Participants with a high BMI were 29 times more likely to have a high FMI than those with lower BMIs," the research team wrote.

"Our findings provide further evidence of the utility of BMI in clinical care and research," they concluded.

Reference:

David S. Freedman, Babette S. Zemel, William H. Dietz, Carrie Daymont; Screening Accuracy of BMI for Adiposity Among 8- to 19-Year-Olds. Pediatrics 2024; e2024065960. 10.1542/peds.2024-065960


Tags:    
Article Source : Pediatrics journal

Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.

NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.

Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .

Similar News