Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A multidimensional functional fitness score is a stronger predictor of type 2 diabetes than obesity parameters in cross sectional data

Pramod Patil, Poortata S Lalwani, Harshada B Vidwans, Shubhankar A Kulkarni, Deepika Bais, Manawa M Diwekar-Joshi, Mayur Rasal, Nikhila Bhasme, Mrinmayee Naik, Shweta Batwal, View ORCID ProfileMilind G Watve
doi: https://doi.org/10.1101/580860
Pramod Patil
Deenanath Mageshkar Hospital, Pune India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Poortata S Lalwani
Department of Psychology, University of Michigan, Ann arbor, MI - 48109, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Harshada B Vidwans
Indian Institute of Science Education and Research, Pune (IISER – P) India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shubhankar A Kulkarni
Indian Institute of Science Education and Research, Pune (IISER – P) India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Deepika Bais
Indian Institute of Science Education and Research, Pune (IISER – P) India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manawa M Diwekar-Joshi
Indian Institute of Science Education and Research, Pune (IISER – P) India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mayur Rasal
Deenanath Mageshkar Hospital, Pune India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nikhila Bhasme
Deenanath Mageshkar Hospital, Pune India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mrinmayee Naik
Deenanath Mageshkar Hospital, Pune India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shweta Batwal
Deenanath Mageshkar Hospital, Pune India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Milind G Watve
Indian Institute of Science Education and Research, Pune (IISER – P) India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Milind G Watve
  • For correspondence: milind@iiserpune.ac.in
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted March 22, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A multidimensional functional fitness score is a stronger predictor of type 2 diabetes than obesity parameters in cross sectional data
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
A multidimensional functional fitness score is a stronger predictor of type 2 diabetes than obesity parameters in cross sectional data
Pramod Patil, Poortata S Lalwani, Harshada B Vidwans, Shubhankar A Kulkarni, Deepika Bais, Manawa M Diwekar-Joshi, Mayur Rasal, Nikhila Bhasme, Mrinmayee Naik, Shweta Batwal, Milind G Watve
bioRxiv 580860; doi: https://doi.org/10.1101/580860
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
A multidimensional functional fitness score is a stronger predictor of type 2 diabetes than obesity parameters in cross sectional data
Pramod Patil, Poortata S Lalwani, Harshada B Vidwans, Shubhankar A Kulkarni, Deepika Bais, Manawa M Diwekar-Joshi, Mayur Rasal, Nikhila Bhasme, Mrinmayee Naik, Shweta Batwal, Milind G Watve
bioRxiv 580860; doi: https://doi.org/10.1101/580860

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Epidemiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (1524)
  • Biochemistry (2479)
  • Bioengineering (1731)
  • Bioinformatics (9670)
  • Biophysics (3897)
  • Cancer Biology (2968)
  • Cell Biology (4190)
  • Clinical Trials (135)
  • Developmental Biology (2624)
  • Ecology (4098)
  • Epidemiology (2031)
  • Evolutionary Biology (6894)
  • Genetics (5206)
  • Genomics (6498)
  • Immunology (2183)
  • Microbiology (6937)
  • Molecular Biology (2751)
  • Neuroscience (17262)
  • Paleontology (126)
  • Pathology (425)
  • Pharmacology and Toxicology (705)
  • Physiology (1056)
  • Plant Biology (2488)
  • Scientific Communication and Education (643)
  • Synthetic Biology (831)
  • Systems Biology (2687)
  • Zoology (429)