Body mass index, waist circumference, hip circumference, waist-hip-ratio and waist-height-ratio: Which is the better discriminator of prevalent screen-detected diabetes in a Cameroonian population?

- The adjusted OR and 95%CI for prevalent SDM with each SD higher adipometric variables were: 1.05 (0.98-1.13) for BMI, 1.30 (1.16-1.46) for WC, 1.18 (1.05-1.34) for HC, 1.05 (1.00-1.16) for WHR and 1.26 (1.11-1.39) for WHtR.
- C-statistic comparisons and RIDI analyses showed a trend toward a significant superiority of WC over other adipometric variables in multivariable models.
- WC was the best predictors and to some extent WHtR of prevalent SDM in Cameroon population, while BMI and WHR were less effective.
- Combining adiposity variables did not improve discrimination beyond multivariable models with WC alone.

BackgroundThe link between measures of adiposity and prevalent screen-detected diabetes (SDM) in Africa has been less well investigated. We assessed and compared the strength of association and discriminatory capability of measures of adiposity including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip-ratio (WHR) and waist-height-ratio (WHtR) for prevalent SDM risk in a sub-Saharan African population.MethodsParticipants were 8663 adults free of diagnosed type 2 diabetes, who took part in the nationally representative Cameroon Burden of Diabetes (CAMBoD) 2006 survey. Logistic regression models were used to compute the odd ratio (OR) and 95% confidence interval (95%CI) for a standard deviation (SD) higher level of BMI (7.3), WC (12.5), HC (11.7), WHR (0.19) and WHtR (0.08) with prevalent SDM risk. Assessment and comparison of discrimination used C-statistic and relative integrated discrimination improvement (RIDI, %).ResultsThe adjusted OR and 95%CI for prevalent SDM with each SD higher adipometric variable were: 1.05 (0.98-1.13) for BMI, 1.30 (1.16-1.46) for WC, 1.18 (1.05-1.34) for HC, 1.05 (1.00-1.16) for WHR and 1.26 (1.11-1.39) for WHtR. C-statistic comparisons and RIDI analyses showed a trend toward a significant superiority of WC over other adipometric variables in multivariable models. Combining adiposity variables did not improve discrimination beyond multivariable models with WC alone.ConclusionWC was the best predictors and to some extent WHtR of prevalent SDM in this population, while BMI and WHR were less effective.