Association of body mass index (BMI) and percent body fat among BMI-defined non-obese middle-aged individuals: Insights from a population-based Canadian sample

• Published in: Canadian journal of public health 2016-01, Vol.107 (6), p.e520-e525
• Main Authors: Collins, Kelsey H., Sharif, Behnam, Sanmartin, Claudia, Reimer, Raylene A., Herzog, Walter, Chin, Rick, Marshall, Deborah A.
• Format: Article
• Language: English
• Subjects: Adult; Age; Aged; Body Composition; Body fat; Body Mass Index; Canada; Cholesterol; Chronic illnesses; Cross-Sectional Studies; Disease prevention; Female; Health Surveys; Humans; Hypertension; Male; Medicine; Medicine & Public Health; Metabolism; Middle age; Middle Aged; Obesity; Obesity - diagnosis; Overweight - diagnosis; Population; Public Health; QUANTITATIVE RESEARCH; Sensitivity and Specificity; Studies
• ISSN: 0008-4263; 1920-7476
• DOI: 10.17269/CJPH.107.5652

OBJECTIVES: To evaluate the association between percent body fat (%BF) and body mass index (BMI) among BMI-defined non-obese individuals between 40 and 69 years of age using a population-based Canadian sample. DATA AND METHODS: Cross-sectional data from the Canadian Health Measures Survey (2007 and 2009) was used to select all middle-aged individuals with BMI < 30 kg/m 2 ( n = 2,656). %BF was determined from anthropometric skinfolds and categorized according to sex-specific equations. Association of other anthropometry measures and metabolic markers were evaluated across different %BF categories. Significance of proportions was evaluated using chi-squared and Bonferroni-adjusted Wald test. Diagnostic performance measures of BMI-defined overweight categories compared to those defined by %BF were reported. RESULTS: The majority (69%) of the sample was %BF-defined overweight/obese, while 55% were BMI-defined overweight. BMI category was not concordant with %BF classification for 30% of the population. The greatest discordance between %BF and BMI was observed among %BF-defined overweight/obese women (32%). Sensitivity and specificity of BMI-defined overweight compared to %BF-defined overweight/obese were (58%, 94%) among females and (82%, 59%) among males respectively. According to the estimated negative predictive value, if an individual is categorized as BMI-defined non-obese, he/she has a 52% chance of being in the %BF-defined overweight/obese category. CONCLUSION: Middle-aged individuals classified as normal by BMI may be overweight/obese based on measures of %BF. These individuals may be at risk for chronic diseases, but would not be identified as such based on their BMI classification. Quantifying %BF in this group could inform targeted strategies for disease prevention.