RT Journal Article
SR Electronic
T1 A multidimensional functional fitness score is a stronger predictor of type 2 diabetes than obesity parameters in cross sectional data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 580860
DO 10.1101/580860
A1 Pramod Patil
A1 Poortata S Lalwani
A1 Harshada B Vidwans
A1 Shubhankar A Kulkarni
A1 Deepika Bais
A1 Manawa M Diwekar-Joshi
A1 Mayur Rasal
A1 Nikhila Bhasme
A1 Mrinmayee Naik
A1 Shweta Batwal
A1 Milind G Watve
YR 2019
UL http://biorxiv.org/content/early/2019/03/22/580860.abstract
AB Objective We examine here whether multidimensional functional fitness is a better predictor of type 2 diabetes as compared to morphometric indices of obesity such as body mass index (BMI) and waist to hip ratio (WHR).Research design and method We analysed retrospective data of 663 volunteer participants (285 males and 378 females between age 28 and 84), from an exercise clinic in which every participant routinely undergoes a health related physical fitness (HRPF) assessment consisting of 15 different tasks examining 8 different aspects of functional fitness.Results The odds of being diabetic in the highest quartile of BMI were not significantly higher than that in the lowest quartile in either of the sexes. The odds of being a diabetic in the highest WHR quartile were significantly greater than the lowest quartile in females (OR = 4.54 (1.95, 10.61) as well as in males (OR = 3.81 (1.75, 8.3). In both sexes the odds of being a diabetic were significantly greater in the lowest quartile of HRPF score than the highest (males OR = 10.52 (4.21, 26.13); females OR = 10.50 (3.53, 31.35)). HRPF was not correlated with BMI in both sexes but was negatively correlated with WHR. After removing confounding, the predictive power of HRPF was significantly greater than that of WHR.Conclusion Multidimensional functional fitness score was a better predictor of type 2 diabetes than obesity parameters in the Indian population.