Using the Lean Tissue Index (LTI) as a Predictor Variable for Bone Mineral Density of Elite, Adolescent, Female Cross-Country Runners

Authors

  • Marc P Bonis University of New Orleans
  • Mark Loftin Interim Department Chair of Health, Exercise Science and Recreation Management Professor of Exercise Science Associate Dean of the School of Applied Sciences George Street University House University of Mississippi Oxford, Mississippi University, MS 38677-1848
  • Melinda S Sothern Director of Behavioral Health Professor of Research/Clinical Exercise Physiologist Professor Behavioral and Community Health Sciences Department School of Public Health Louisiana State University Health Sciences Center 2020 Gravier Street 3rd Floor New Orleans, LA 70112

DOI:

https://doi.org/10.12922/jshp.v5i1.106

Keywords:

Body Composition, Body Mass Index, Bone Growth, Amenorrhea

Abstract

Purpose: Determine the best body-composition variable for predicting bone mineral density (BMD) in the sub-population, which included body weight (WGT), lean tissue (LT), body mass index (BMI), body fat (BF), lean tissue index (LTI = LT/Height²), and body fat index (BFI = BF/Height²).

 

Methods: Measured BMD using DXA and estimated skeletal maturity (SM) using questionnaire data of subjects: 28 female runners (Mean Age + SD = 14.9 + 1.6 yrs).

 

Results: Partial correlations indicated LTI was the variable most highly associated (r = .712) with BMD. Multiple linear regression indicated LTI was the predictor variable with the best fit. Predictions of the dependent criterion variables, BMDleg and BMD, were calculated using the independent predictor variables, LTI and SM. Significant regression equations were found.  The subjects’ BMDleg  was found to be equal to (-2.486) + (2.912)SM + (5.540E-02)LTI,  [F(2,23) = 20.161, SEE = .0634] with an R² = .637;  and the subjects’ BMD was found to be equal to (-1.645) + (2.209)SM + (4.068E-02)LTI,  [F(2,23) = 18.828, SEE = .0487] with an R² = .621.

 

Conclusion: LTI was the body composition variable most highly associated with BMD (r = .712). LTI was also the best body-composition component to predict BMD (r = .788). Additional research regarding the LTI is recommended.

Author Biography

Marc P Bonis, University of New Orleans

Educational Leadership, Foundations, and Counseling Department Human Performance and Health Performance Program Assistant Professor

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Published

2017-07-07

How to Cite

Bonis, M. P., Loftin, M., & Sothern, M. S. (2017). Using the Lean Tissue Index (LTI) as a Predictor Variable for Bone Mineral Density of Elite, Adolescent, Female Cross-Country Runners. Journal of Sport and Human Performance, 5(1). https://doi.org/10.12922/jshp.v5i1.106

Issue

Vol. 5 No. 1 (2017): Journal of Sport and Human Performance

Section

Original Research Articles

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