Study design: Observational cross-sectional study. Objectives: Body mass index (BMI), measured as a ratio of weight (Wt) to the square of height (Wt/Ht 2 ), waist circumference (WC) and waist-to-height ratio (WHtR) are common surrogate measures of adiposity. It is not known whether alternate scaling powers for height might improve the relationships between these measures and indices of obesity or cardiovascular disease (CVD) risk in individuals with spinal cord injury (SCI). We aimed to estimate the values of 'x' that render Wt/Ht x and WC/Ht x maximally correlated with dual energy x-ray absorptiometry (DEXA) total and abdominal body fat and Framingham Cardiovascular Risk Scores. Setting: Canadian public research institution. Methods: We studied 27 subjects with traumatic SCI. Height, Wt and body fat measurements were determined from DEXA whole-body scans. WC measurements were also obtained, and individual Framingham Risk Scores were calculated. For values of 'x' ranging from 0.0 to 4.0, in increments of 0.1, correlations between Wt/Ht x and WC/Ht x with total and abdominal body fat (kg and percentages) and Framingham Risk Scores were computed. Results: We found that BMI was a poor predictor of CVD risk, regardless of the scaling factor. Moreover, BMI was strongly correlated with measures of obesity, and modification of the scaling factor from the standard (Wt/Ht 2 ) is not recommended. WC was strongly correlated with both CVD risk and obesity, and standard measures (WC and WHtR) are of equal predictive power. Conclusion: On the basis of our findings from this sample, alterations in scaling powers may not be necessary in individuals with SCI; however, these findings should be validated in a larger cohort.
INTRODUCTIONWith advances in the acute care and management of spinal cord injury (SCI), affected individuals have a longer life expectancy, and as a consequence, secondary complications such as cardiovascular disease (CVD) are becoming a priority for researchers, clinicians and those living with SCI. 1 CVD is now the leading cause of morbidity and mortality in this population. 2 In addition, SCI individuals experience an increased risk, earlier onset and faster rate of progression of CVD than in the general population. 3,4 For example, individuals with SCI exhibit a more than twofold increased risk of stroke, heart disease and type 2 diabetes compared with able-bodied individuals. [5][6][7] Obesity is a well-known risk factor for CVD, and is particularly important to examine following SCI as adverse changes in body composition, metabolic rate and autonomic function are known consequences of injury. 8,9 These adaptations, in combination with reduced activity levels as a result of physical disability, may lead to a higher prevalence of obesity and greater CVD risk in this population. 10 Thus, accurate and practical measures of obesity, coupled with better