Relative fat mass helps in prediction of new onset diabetes

Written By :  Jacinthlyn Sylvia
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2023-03-21 05:00 GMT   |   Update On 2023-03-24 07:43 GMT

Relative fat mass (RFM) has the potential to be utilized in the general practice environment to predict the risk of developing future diabetes because it is highly related with new-onset T2D, says an article published in European Journal of Internal Medicine. A brand-new anthropometric equation for estimating whole-body fat percentage (based on height and waist measurements) is called...

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Relative fat mass (RFM) has the potential to be utilized in the general practice environment to predict the risk of developing future diabetes because it is highly related with new-onset T2D, says an article published in European Journal of Internal Medicine. 

A brand-new anthropometric equation for estimating whole-body fat percentage (based on height and waist measurements) is called relative fat mass. In order to compare RFM's performance to body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR), Navin Suthahar and colleagues conducted this study to explore connections of RFM with incidence type-2 diabetes (T2D).

Three Dutch community-based cohorts without diabetes at baseline provided data for this prospective longitudinal investigation. Initially, using Cox regression models, researchers looked at data from the PREVEND cohort (median age and follow-up duration: 48.0 and 12.5 years, respectively). Lifelines and Rotterdam cohorts, with median ages and follow-up times of 45.5 and 3.8 years and 68.0 and 13.9 years, respectively, were used for validation.

The key findings of this study were:

522 (6.6%) of the 7961 PREVEND participants experienced T2D. 

All adiposity indicators were substantially linked with incidence T2D in a multivariable model (Pall 0.001). 

Whereas a 1 SD rise in BMI, WC, or WHR was linked to an increased risk of T2D of 68%, 77%, or 61%, respectively [Hazard ratio (HR)BMI: 1.68, HRWC: 1.77, and HR-WHR: 1.61], a similar increase in RFM was linked to an increased risk of 119%.

 All age groups showed an association between RFM and incident T2D, with the youngest age group (40 years) showing the biggest effect size. 

The Lifelines (n = 93,870) and Rotterdam (n = 5279) cohorts' findings were mostly comparable.

In conclusion, RFM exhibits the potential to be regularly utilized in the general practice context to determine future risk of diabetes and accurately predicts new-onset T2D in the Dutch population. Our data also show that community-wide T2D risk would be significantly decreased if obesity was well controlled, especially in young people.

Reference: 

Suthahar, N., Wang, K., Zwartkruis, V. W., Bakker, S. J. L., Inzucchi, S. E., Meems, L. M. G., Eijgenraam, T. R., Ahmadizar, F., Sijbrands, E. G., Gansevoort, R. T., Kieneker, L. M., van Veldhuisen, D. J., Kavousi, M., & de Boer, R. A. (2023). Associations of relative fat mass, a new index of adiposity, with type-2 diabetes in the general population. In European Journal of Internal Medicine (Vol. 109, pp. 73–78). Elsevier BV. https://doi.org/10.1016/j.ejim.2022.12.024

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Article Source : European Journal of Internal Medicine

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