Comparison of obesity classification methods among college students

Area of Science:

• Public Health
• Anthropometry
• Biostatistics

Background:

• Obesity is a growing public health concern among college students.
• Accurate classification of obesity is crucial for effective intervention strategies.
• Existing obesity classification methods, including Body Mass Index (BMI), abdominal girth (AG), and body fat percentage (BF%), may yield different results.

Purpose of the Study:

• To compare the effectiveness of three obesity classification methods: Body Mass Index (BMI), abdominal girth (AG), and body fat percentage (BF%).
• To examine the relationships between these anthropometric measures in a large cohort of college students.
• To assess the diagnostic accuracy of BMI against AG and BF% for identifying obesity in this population.

Main Methods:

• A cross-sectional study involving 5943 college students.
• Objective fitness assessment including height, weight, abdominal girth, and body fat percentage (via Bioelectrical Impedance Analysis).
• Statistical analyses included correlation, chi-square tests for independence, and calculation of sensitivity and specificity.

Main Results:

• Significant correlations were observed between all pairs of measures (BMI-BF%, BMI-AG, BF%-AG) for both men and women (p<0.001).
• Obesity classification varied significantly across the methods.
• A substantial proportion of students classified as normal weight by BF% or AG were categorized as overweight or obese by BMI.

Conclusions:

• Obesity classification methods yield significantly different results in college students.
• Body Mass Index (BMI) demonstrates relatively poor predictive value for obesity classification in this demographic.
• Caution is advised when utilizing BMI for diagnosing obesity among college students; alternative measures like AG and BF% may provide more accurate assessments.