scavenger hunt sept ember - fort myers, florida · mitchel l. cordova, facsm1, college of health...

1
Referral from Student Health Services (n=88) Physical Activity Questions in EMR Referral to EIM@FGCU Procedure Code Tablets for Pre-Post Data Collection (March 2015-May 2016) Exercise Science Program Fitness Assessment and Exercise Prescription Service Learning Project Monthly EIM@FGCU Events Campus Recreation Free Personal Training Session EIM-On Campus: Student Learning, Health Promotion, and Research Renee M. Jeffreys-Heil 1 , Shomari Kee 2 , Cayla McAvoy 2 , Kevin Collins 3 , Kristine Phillipine 3 , Greg Jensen 3 , Eric Shamus 1 , Mitchel L. Cordova, FACSM 1 , College of Health Professions and Social Work 1 , Campus Recreation 2 , Student Health Services 3 , Florida Gulf Coast University, FL Abstract Health Promotion Methods Results Significant Outcomes/Plans References This project was supported by 2 Intra Professional Development Grants from the College of Health Professions and Social Work. We would like to give a special thanks to all of the campus collaborators without whom this project would not be successful. 2 External Grants Wellness @ FGCU- A Holistic Research Collaborative (BToP) Implementation of Technogym Solution to Facilitate Data Collection/Information Sharing Inclusion of Behavior and Nutrition Assessment Subjects : Twenty-two subjects (5 Males & 17 Females) with chronic ankle instability (mean: age = 22.3 yrs, height = 167.6 cm, mass = 69.8 kg) and 21 healthy (5 Males & 16 Females) gender, side and age- matched controls (mean: age = 21.9 yrs, height = 166.0 cm, mass = 64.1 kg) volunteered for this study. Subjects reporting a history of more than 1 ankle sprain in the past year, recurring symptoms, and indicating difficulty in more than 2 areas in the sport index or 1 area in the FADI section were eligible for inclusion. All subjects provided written informed consent; this study was approved by the University institutional review board. Design : A 1x2 case control experimental design was used to study the effects of CAI on multiple sensorimotor measures. The independent variable was ankle group with 2 levels (healthy and CAI). The dependent variables (DV) for the each of the 4 sensorimotor constructs are as follows: Joint position sense: plantarflexion constant error (PFCE), plantarflexion absolute error (PFAE), plantarflexion variable error (PFVE), inversion constant error (IVCE), inversion absolute error (IVAE), inversion variable error (IVVE). Postural control: center of pressure (COP) medial/lateral displacement (ML DISP), root mean square (RMS) of COP medial/lateral displacement (RMS COP ML DISP), COP anterior/posterior displacement (AP DISP), RMS of COP anterior/posterior displacement (RMS COP AP DISP), total COP displacement (total COP DISP), RMS total COP displacement (RMS total COP DISP), total COP medial/lateral velocity (ML VEL), total COP anterior/posterior velocity (AP VEL), total COP average velocity (total COP AVE VEL). Functional balance: SEBT in the anterior medial direction (AM), medial direction (M) and posterior medial direction (PM). SEBT values represent the directional reach distance normalized by leg length. Segmental spinal reflexes: double-legged paired reflex depression (2PRD), double-legged recurrent inhibition (2RI), maximum H-reflex amplitude (Hmax), maximum M-wave amplitude (Mmax), Hmax/Mmax ratio, single-legged paired reflex depression (1PRD), single-legged recurrent inhibition (1RI). All reflex tests were conducted on the soleus muscle. Methods : JPS: was determined by active reproduction of a passively placed joint position reference angle. JPS was measured at 30° of plantarflexion (prone) and 15° of inversion (seated, Figure 1). Three practice trials followed by 6 test trials were performed at each reference position. COP: utilized a eyes-open single-legged stance with hands resting on their hips (Figure 2). Five, 20s trials were completed. SEBT: measurements (cm) were taken in the AM, M, PM reach directions. Three practice trials were followed 6 reach trials in each direction and normalized to leg length (Figure 3). H-reflexes: Skin preparation and soleus electrode placement was completed as previously described (17). A PRD protocol was used to measure the influence intrinsic presynaptic inhibition on the H-reflex. A series of 7 trials of double stimulations, 80 msec apart were completed. The test stimulus was standardized at 35% of the soleus Mmax . A RI protocol was utilized to measure postsynaptic inhibition. The conditioning stimulus of 25% of the soleus Mmax, and a second stimulus, set at Mmax was elicited 10 msec later. All H-reflex measures were completed in both a single- and double-legged stance. Statistical analysis: Descriptive statistics were calculated for all DVs. Data reduction: A 1x2 multivariate t-test was first performed on each sensorimotor construct to assess the effects of group on the linear combination of the 25 DVs. The first model determined group effect of the linear combination of the DVs for each construct. Follow-up univariate F tests were then used to identify which specific DVs were most influenced by CAI. Discriminant analysis: The multivariate t-tests revealed 7 variables that were significantly affected by CAI. These DVs were then used as predictors in a discriminant analysis model where the criterion variable was dichotomous (CAI and healthy ankles). Each of the 7 predictors was entered into the equation using a hierarchical approach to establish the best predictors of group membership. Standardized coefficients and a structural matrix were used to investigate the contribution of individual predictors. The level of significance was established a priori at P 0.05. Campus Wide Health Promotion Sept - Foot Prints on Campus Oct - Adaptive Recreation Day Nov - Great American Smoke Out Dec AHA Heart Walk Jan Student Wellness Fair March Walk to End Darkness April Dance Marathon September Scavenger Hunt Interested in learning how you can participate in EIM@FGCU, contact [email protected] http://www.fgcu.edu/CHPSW/RS/ESBS/exercise-is- medicine.html #EIM@FGCU #SHS_FGCU #FGCUCampusRec https://www.facebook.com /groups/ 1458512681115732/ #EIM_FGCU This Month’s Activity: Fitness Fun Facts: How to Eat Healthy on Campus: Exercise of the Month: Find the Foot Prints! Explore your Campus and Get some Physical Activity! Walking a Great Way to Exercise! Grape, Avocado, and Arugula Salad Baseline IPAQ Results (N=132) Hours per week of: Mean + SD Sitting 6.33 14.84 Walking 7.17 11.8 Moderate 3.65 10.04 Vigorous 2.80 6.70 Baseline Data Collection from Tablets in Student Health Services 33% of Students Do Not Meet Minimum Activity Requirements Exercise Science, Health Science, Humanities, Computational Science Student Service Learning Hours Fall 2015 (ES only) Fall 2016 22 ± 11 hours 19 ± 22 hours EIM@FGCU in Action

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Page 1: Scavenger Hunt Sept ember - Fort Myers, Florida · Mitchel L. Cordova, FACSM1, College of Health Professions and Social Work1, Campus Recreation2, Student Health Services3, ... Sept

Referral from Student Health Services (n=88)

Physical Activity Questions in EMR

Referral to EIM@FGCU Procedure Code

Tablets for Pre-Post Data Collection (March 2015-May

2016)

Exercise Science Program

Fitness Assessment and Exercise Prescription

Service Learning Project

Monthly EIM@FGCU Events

Campus Recreation Free Personal Training

Session

EIM-On Campus: Student Learning, Health Promotion, and ResearchRenee M. Jeffreys-Heil1, Shomari Kee2, Cayla McAvoy2, Kevin Collins3, Kristine Phillipine3, Greg Jensen3, Eric Shamus1,

Mitchel L. Cordova, FACSM1, College of Health Professions and Social Work1, Campus Recreation2, Student Health Services3,

Florida Gulf Coast University, FL

Abstract

Health Promotion

Methods

Results Significant Outcomes/Plans

References

This project was supported by 2 Intra Professional Development Grants from the College of Health Professions and Social Work.

We would like to give a special thanks to all of the campus collaborators without whom this project would not be successful.

• 2 External Grants

• Wellness @ FGCU- A Holistic Research Collaborative (BToP)

• Implementation of Technogym Solution to Facilitate Data Collection/Information Sharing

• Inclusion of Behavior and Nutrition Assessment

Subjects: Twenty-two subjects (5 Males & 17 Females) with chronic ankle instability (mean: age = 22.3 yrs, height =

167.6 cm, mass = 69.8 kg) and 21 healthy (5 Males & 16 Females) gender, side and age- matched controls (mean: age

= 21.9 yrs, height = 166.0 cm, mass = 64.1 kg) volunteered for this study. Subjects reporting a history of more than 1

ankle sprain in the past year, recurring symptoms, and indicating difficulty in more than 2 areas in the sport index or 1

area in the FADI section were eligible for inclusion. All subjects provided written informed consent; this study was

approved by the University institutional review board.

Design: A 1x2 case control experimental design was used to study the effects of CAI on multiple sensorimotor

measures. The independent variable was ankle group with 2 levels (healthy and CAI). The dependent variables (DV)

for the each of the 4 sensorimotor constructs are as follows: Joint position sense: plantarflexion constant error

(PFCE), plantarflexion absolute error (PFAE), plantarflexion variable error (PFVE), inversion constant error (IVCE),

inversion absolute error (IVAE), inversion variable error (IVVE). Postural control: center of pressure (COP)

medial/lateral displacement (ML DISP), root mean square (RMS) of COP medial/lateral displacement (RMS COP ML

DISP), COP anterior/posterior displacement (AP DISP), RMS of COP anterior/posterior displacement (RMS COP AP

DISP), total COP displacement (total COP DISP), RMS total COP displacement (RMS total COP DISP), total COP

medial/lateral velocity (ML VEL), total COP anterior/posterior velocity (AP VEL), total COP average velocity (total COP

AVE VEL). Functional balance: SEBT in the anterior medial direction (AM), medial direction (M) and posterior medial

direction (PM). SEBT values represent the directional reach distance normalized by leg length. Segmental spinal

reflexes: double-legged paired reflex depression (2PRD), double-legged recurrent inhibition (2RI), maximum H-reflex

amplitude (Hmax), maximum M-wave amplitude (Mmax), Hmax/Mmax ratio, single-legged paired reflex depression

(1PRD), single-legged recurrent inhibition (1RI). All reflex tests were conducted on the soleus muscle.

Methods: JPS: was determined by active reproduction of a passively placed joint position reference angle. JPS was

measured at 30° of plantarflexion (prone) and 15° of inversion (seated, Figure 1). Three practice trials followed by 6

test trials were performed at each reference position. COP: utilized a eyes-open single-legged stance with hands

resting on their hips (Figure 2). Five, 20s trials were completed. SEBT: measurements (cm) were taken in the AM, M,

PM reach directions. Three practice trials were followed 6 reach trials in each direction and normalized to leg length

(Figure 3). H-reflexes: Skin preparation and soleus electrode placement was completed as previously described (17).

A PRD protocol was used to measure the influence intrinsic presynaptic inhibition on the H-reflex. A series of 7 trials of

double stimulations, 80 msec apart were completed. The test stimulus was standardized at 35% of the soleus Mmax . A

RI protocol was utilized to measure postsynaptic inhibition. The conditioning stimulus of 25% of the soleus Mmax, and a

second stimulus, set at Mmax was elicited 10 msec later. All H-reflex measures were completed in both a single- and

double-legged stance.

Statistical analysis: Descriptive statistics were calculated for all DVs. Data reduction: A 1x2 multivariate t-test was

first performed on each sensorimotor construct to assess the effects of group on the linear combination of the 25 DVs.

The first model determined group effect of the linear combination of the DVs for each construct. Follow-up univariate F

tests were then used to identify which specific DVs were most influenced by CAI. Discriminant analysis: The

multivariate t-tests revealed 7 variables that were significantly affected by CAI. These DVs were then used as predictors

in a discriminant analysis model where the criterion variable was dichotomous (CAI and healthy ankles). Each of the 7

predictors was entered into the equation using a hierarchical approach to establish the best predictors of group

membership. Standardized coefficients and a structural matrix were used to investigate the contribution of individual

predictors. The level of significance was established a priori at P 0.05.

Campus Wide Health Promotion•Sept - Foot Prints on Campus

•Oct - Adaptive Recreation Day

•Nov - Great American Smoke Out

•Dec – AHA Heart Walk

•Jan – Student Wellness Fair

•March – Walk to End Darkness

•April – Dance Marathon

September

Scavenger Hunt

Interested in learning how you can participate in

EIM@FGCU, contact [email protected]

http://www.fgcu.edu/CHPSW/RS/ESBS/exercise-is-

medicine.html

#EIM@FGCU#SHS_FGCU#FGCUCampusRec

https://www.facebook.com/groups/

1458512681115732/#EIM_FGCU

This Month’s Activity: Fitness Fun Facts:

How to Eat Healthy

on Campus:

Exercise of the

Month:

Find the Foot Prints!

Explore your Campus and

Get some Physical Act ivity!

Walking a Great Way to

Exercise!

Grape, Avocado,

and Arugula Salad

Baseline IPAQ Results

(N=132)

Hours per

week of: Mean +SD

Sitting 6.33 14.84

Walking 7.17 11.8

Moderate 3.65 10.04

Vigorous 2.80 6.70

Baseline Data Collection from Tablets in

Student Health Services

33% of Students Do Not Meet Minimum Activity Requirements

Exercise Science, Health Science,

Humanities, Computational Science

Student Service Learning Hours

Fall 2015 (ES only)

Fall 2016

22 ± 11 hours 19 ± 22 hours

EIM@FGCU in Action