Associations of relative fat mass, a new index of adiposity, with type-2 diabetes in the general population
Navin Suthahar, Kan Wang, Victor W Zwartkruis, Stephan J. L. Bakker, Silvio E. Inzucchi, Laura M.G. Meems, Tim R. Eijgenraam, Fariba Ahmadizar, Eric J.G. Sijbrands, Ron T. Gansevoort, Lyanne M. Kieneker, Dirk J. van Veldhuisen, Maryam Kavousi, Rudolf A. de Boer
Abstract
BACKGROUND: Relative fat mass (RFM) is a novel sex-specific anthropometric equation (based on height and waist measurements) to estimate whole-body fat percentage. OBJECTIVE: To examine associations of RFM with incident type-2 diabetes (T2D), and to benchmark its performance against body-mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR). METHODS: This prospective longitudinal study included data from three Dutch community-based cohorts free of baseline diabetes. First, we examined data from the PREVEND cohort (median age and follow-up duration: 48.0 and 12.5 years, respectively) using Cox regression models. Validation was performed in the Lifelines (median age and follow-up duration: 45.5 and 3.8 years, respectively) and Rotterdam (median age and follow-up duration: 68.0 and 13.9 years, respectively) cohorts. RESULTS: : 1.61 (95%CI: 1.48-1.75)], an equivalent increase in RFM was associated with 119% increased risk [HR: 2.19 (95%CI: 1.96-2.44)]. RFM was associated with incident T2D across all age groups, with the largest effect size in the youngest (<40 years) age category [HR: 2.90 (95%CI: 2.15-3.92)]. Results were broadly similar in Lifelines (n = 93,870) and Rotterdam (n = 5279) cohorts. CONCLUSIONS: RFM is strongly associated with new-onset T2D and displays the potential to be used in the general practice setting to estimate the risk of future diabetes.