PLoS ONE (Jan 2021)

A multidimensional functional fitness score has a stronger association with type 2 diabetes than obesity parameters in cross sectional data.

  • Pramod Patil,
  • Poortata Lalwani,
  • Harshada Vidwans,
  • Shubhankar Kulkarni,
  • Deepika Bais,
  • Manawa Diwekar-Joshi,
  • Mayur Rasal,
  • Nikhila Bhasme,
  • Mrinmayee Naik,
  • Shweta Batwal,
  • Milind Watve

DOI
https://doi.org/10.1371/journal.pone.0245093
Journal volume & issue
Vol. 16, no. 2
p. e0245093

Abstract

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ObjectivesWe examine here the association of multidimensional functional fitness with type 2 diabetes mellitus (T2DM) as compared to anthropometric indices of obesity such as body mass index (BMI) and waist to hip ratio (WHR) in a sample of Indian population.Research design and methodWe 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 was required to undergo a health related physical fitness (HRPF) assessment consisting of 15 different tasks examining 8 different aspects of functional fitness.ResultsThe 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)). After removing confounding, the predictive power of HRPF was significantly greater than that of WHR. HRPF was negatively correlated with WHR, however for individuals that had contradicting HRPF and WHR based predictions, HRPF was the stronger predictor of T2DM.ConclusionThe association of multidimensional functional fitness score with type 2 diabetes was significantly stronger than obesity parameters in a cross sectional self-selected sample from an Indian city.