Matt Hutchins 526 Individual Project

1
Matt Hutchins526 Individual Project

• KAB Exercise and Exercise Participation

2
Participants

• 43 participants completed a self-administered
  survey (n 43)
• 17 male
• 26 female
• Ages 18-25
• Sample of Convenience-- all participants were
  currently enrolled in an undergraduate health ed.
  class

3
Knowledge Section

• Ten Questions
• T/F and multiple choice
• Statistical Analysis
• KR analysis to establish reliability
• Mean scores indicate number correct out of 10
• T-test showed no significant differences in
  knowledge scores
• (Results are presented in Table 1)

4
Table 1
5
Attitude Section

• Ten attitude statements
• Participants responded to statements on a
  Likert-type scale that ranged from strongly
  disagree to strongly agree
• Data analysis consisted of Cronbach alpha to test
  for reliability for

6
Discussion

• Cronbach aplha levels were moderate at .84
• Females responded more positively to statements
  about exercise being enjoyable and exercise
  improving self-esteem

7
Behavior Section

• Ten questions to assess level of exercise
  participation and reasons for and against
  participation
• Analysis
• Data analyzed to determine frequency of
  participants who met ACSM guidelines
• Common responses to why do you AND why dont you
  exercise?

8
Behavior
9
Discussion

• This survey found that approximately 1 out of 3
  participants meet current ACSM guidelines. This
  corresponds to past research.
• Male and female percentages for exercise
  participation were very similar.
• Weight management was the most common reason
  cited for participation
• Lack of time was the most common response given
  for those who do not exercise.

10
Conclusions

• Males and females have similar KABs in regard to
  exercise
• Participants may be unaware of importance of
  monitoring heart rate during exercise

11
Recommendations

• Education about ACSM guidelines
• Education about importance of and how to check
  heart rate

12
Limitations

• Sample size (n 43)
• Limited number of questions within each subgroup
  may affect statistical measures
• Use of a sample of convenience may decrease
  generalizability