Body Mass Index Underestimates Adiposity in Persons With Multiple Sclerosis

Area of Science:

• Medical research
• Human physiology
• Body composition analysis

Background:

• Body Mass Index (BMI) is a common metric for assessing weight status.
• Accurate assessment of adiposity is crucial for managing health conditions like multiple sclerosis (MS).
• Standard BMI thresholds may not accurately reflect body fat percentage in all populations.

Purpose of the Study:

• To investigate the relationship between BMI and adiposity in individuals with MS and non-MS controls.
• To evaluate the accuracy of current BMI thresholds for identifying obesity in persons with MS.
• To determine optimal BMI thresholds for defining obesity in MS and control groups.

Main Methods:

• Cross-sectional study design.
• Inclusion of 235 individuals with MS and 53 non-MS controls.
• Assessment of body composition using dual-energy x-ray absorptiometry (DXA) to measure percent body fat (%BF).

Main Results:

• Strong associations were found between BMI and %BF in both MS and control groups.
• Standard BMI threshold (30kg/m²) showed high specificity but low sensitivity for detecting obesity in MS.
• Optimal BMI thresholds for identifying %BF-defined obesity were 24.7kg/m² for MS and 25.1kg/m² for controls.

Conclusions:

• A strong correlation exists between BMI and adiposity.
• Current BMI classifications for obesity underestimate true adiposity in individuals with MS.
• Lower BMI thresholds are suggested for more accurate obesity assessment in persons with MS.