Date of Graduation

12-2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Kinesiology (PhD)

Degree Level

Graduate

Department

Health, Human Performance and Recreation

Advisor/Mentor

Gray, Michelle

Committee Member

Di Brezzo, Ro

Second Committee Member

Greene, Nicholas P.

Third Committee Member

Baum, Jamie I.

Fourth Committee Member

Lo, Wen-Juo

Keywords

aging; appendicular skeletal muscle mass; blood biomarkers; IGF-1; myostatin; sarcopenia

Abstract

The population comprising older adults is growing exponentially, as are healthcare related costs. Nearly $20 billion is annually expensed by older adults for health-related issues affiliated with age-related decline in skeletal muscle mass. Yet, diagnostic criteria are not readily utilized in clinical practice. PURPOSE: Therefore, the purpose of this study was to provide evidence for use of blood biomarkers (myostatin, IGF-1) to predict appendicular skeletal muscle mass (ASM) among middle-aged and older adults. METHODS: A cross-sectional study was conducted among 106 individuals (n = 68 females; n = 38 males) aged ≥ 40 years of age (60.1 ± 11.1 y) wherein blood biomarkers (serum myostatin and IGF-1) were examined relative to age and appendicular skeletal muscle mass (ASM). Linear multiple regression analysis was used to identify the model of best-fit to describe the relationship between the primary outcome variable (ASM) and the set of biomarkers (myostatin, IGF-1). RESULTS: The results of the regression model indicated 78% of the variance in ASM to be accounted for when utilizing the four-predictor regression model, considering age, sex, serum myostatin and IGF-1. Neither biomarker significantly contributed to the model and only accounted for

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