Poster Session

Location

Memorial Ballroom, Hall Campus Center

Access Type

Open Access

Entry Number

7

Start Date

4-10-2019 12:00 PM

End Date

4-10-2019 1:15 PM

Department

Athletic Training

Abstract

Health-Related Quality of Life (HRQL) assessments can provide Athletic Trainers with information about student-athletes’ overall well-being and health. The objective of this study was to examine the association between personal and family reports of medical history and HRQL in collegiate student-athletes. We recruited 271 student-athletes (age=19.00±1.15 years, height=175.18±4.29 cm, mass=72.29±12.03 kg). The independent variables included the presence of any family (parents, siblings, grandparents) or any personal history of balance disorders, psychological disorders, memory disorders or history of headaches. The dependent variables included the 9 subsets of HRQL (anxiety, depression, fatigue, pain interference, pain intensity, physical function, sleep disturbance, social roles) and 2 subsets of Neuro-QOL (Fatigue SF, Cognitive Function SF). Participants reported personal (N=131), parent (N=55), sibling (N=21) and grandparent (N=59) previous history of medical conditions. Sibling health history (without=19.88±.63, with=19.31±2.21; pp=.049) were associated with worse physical function scores. Sibling health history (without=4.92±1.61, with=4.43±1.20; P=.044) was associated with pain interference. Sibling health history (without=1.85±1.99, with=1.12±1.43; p=.038) was also associated with worse pain intensity. Patient health history (without=10.98±3.93, with=10.16±3.43; P=.013) was associated with worse fatigue SF scores. Family and patient medical history had no effect on anxiety, depression, sleep disturbance, social roles and activities, cognitive function or difficulty with daily activities (p>.05). Family and patient past medical history were associated with four categories of HRQL (physical function, pain interference, pain intensity, and fatigue SF). Past medical history may impact HRQL which can predict student-athlete well-being.

Faculty Mentor(s)

Dr. Tom Bowman

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Apr 10th, 12:00 PM Apr 10th, 1:15 PM

The Effect of Previous Medical History on Student-Athlete Quality of Life

Memorial Ballroom, Hall Campus Center

Health-Related Quality of Life (HRQL) assessments can provide Athletic Trainers with information about student-athletes’ overall well-being and health. The objective of this study was to examine the association between personal and family reports of medical history and HRQL in collegiate student-athletes. We recruited 271 student-athletes (age=19.00±1.15 years, height=175.18±4.29 cm, mass=72.29±12.03 kg). The independent variables included the presence of any family (parents, siblings, grandparents) or any personal history of balance disorders, psychological disorders, memory disorders or history of headaches. The dependent variables included the 9 subsets of HRQL (anxiety, depression, fatigue, pain interference, pain intensity, physical function, sleep disturbance, social roles) and 2 subsets of Neuro-QOL (Fatigue SF, Cognitive Function SF). Participants reported personal (N=131), parent (N=55), sibling (N=21) and grandparent (N=59) previous history of medical conditions. Sibling health history (without=19.88±.63, with=19.31±2.21; pp=.049) were associated with worse physical function scores. Sibling health history (without=4.92±1.61, with=4.43±1.20; P=.044) was associated with pain interference. Sibling health history (without=1.85±1.99, with=1.12±1.43; p=.038) was also associated with worse pain intensity. Patient health history (without=10.98±3.93, with=10.16±3.43; P=.013) was associated with worse fatigue SF scores. Family and patient medical history had no effect on anxiety, depression, sleep disturbance, social roles and activities, cognitive function or difficulty with daily activities (p>.05). Family and patient past medical history were associated with four categories of HRQL (physical function, pain interference, pain intensity, and fatigue SF). Past medical history may impact HRQL which can predict student-athlete well-being.