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- All Subjects: Public health education
- Creators: Der Ananian, Cheryl
Description
Purpose: This study explored the potential correlates of exercise self-efficacy among older adults with a self-reported diagnosis of arthritis. Methods: This study was a secondary data analysis and used a cross-sectional design. Data was collected from a convenience sample of Non-Hispanic White and Non-Hispanic Black individuals between 2006-2008 (N=208). Descriptive statistics were run to assess means and frequencies within the sample. Bivariate statistics (Pearson and Spearman correlations, T-tests and one-way analysis of variance) were run to examine relationships between the independent and dependent variables. Multiple linear regression analyses were conducted to examine independent predictors of self-efficacy for exercise (SEE) and barriers self-efficacy for exercise (BSE). Results: Participants were predominantly female (85.6%), white (62.9%), retired (58.1%) and had a mean age of 66.6 [10.7] years. For education level, 23.4% reported a Master’s degree or higher and 18.6% reported they had at most a high school degree or GED. Nearly 47% of the sample were classified as obese based on self-reported body mass index (BMI) and 68.3% of the sample were not meeting the American College of Sports Medicine physical activity (PA) recommendations. Participants reported a relatively high BSE (22.6) and an average SEE (22.7). Significant positive associations were seen with outcome expectation for exercise (EOE), social support, and total minutes of PA and negative associations with BMI, physical function, pain, and negative affect with SEE and BSE. Meeting the PA guidelines (t134.5=4.60, 95%CI= 4.7(6.71-2.68), p<0.001) and being white (t164=2.82, 95%CI=2.82(0.57-5.08), p=0.014) were associated with SEE and BSE (t165=3.42, 95%CI= 4.37(6.89-1.85), p=0.001) and (t164=2.34, 95%CI= 2.95(0.46-5.43), p=0.021), respectively. In regression analyses, significant predictors of SEE were education (p=.006), physical function (p=.006) and EOE (p<.001). Significant predictors of BSE were physical function (p=.020), social support (p=.031), EOE (p=<.001), education level (p=.037), and total minutes of PA (p=.022). The variables in the SEE model accounted for 50.5% (R=.737, R2=.505) of the total variance and the variables in BSE model accounted for 41.1% (R=.672, R2=.411) of the total variance of the model. Discussion: EOE appears to be an important predictor of SEE and BSE. Examining the temporal relationship between EOE and SEE is warranted.
ContributorsDhālīwāla, Simarana (Author) / Der Ananian, Cheryl (Thesis advisor) / Sebren, Ann (Committee member) / Hrncir, Shawn (Committee member) / Arizona State University (Publisher)
Created2016
Description
ABSTRACT
The purpose of this study was two-fold. In Specific Aim One, we examined the associations between education level, personal trainer credentials and characteristics, and knowledge of exercise science and personal training principles. In Specific Aim Two we examined associations between education, personal trainer credentials and knowledge of personal trainers with client retention. This study utilized a cross-sectional research design. An anonymous electronic survey was used to collect the data. Eligible participants (N=226) were individuals who were providing one-on-one personal training services for at least one client. All data were assessed for normality prior to data analysis. Descriptive statistics were used to evaluate sample characteristics. Mean and standard deviations, median and interquartile range [IQR] or frequency and percentages were reported for the sample characteristics. Bivariate associations were examined with dependent t-tests and one-way ANOVAs for normally distributed data. Mann- Whitney U and Kruskal-Wallis tests were used for non-normally distributed variables. The median knowledge score for the sample was 6.0 [3.00] points, out of a possible 24, with 92.5% of the sample scoring 10 or lower. Sex (Male/Female), education level, having a degree in the field, certification status (yes
o) and number of certifications were not associated with knowledge scores (p > 0.05). Years of experience in personal training was positively associated with mean knowledge scores (H(3) = 9.280, p = 0.026). Sex of the personal trainer, having a degree in the field (yes
o), the number of personal trainer certifications, the cost of training, the type of facility, the type of employment of the personal trainer and knowledge scores were not associated with client retention (p > 0.05). Education level (F3,87 = 8.176, p < 0.001), personal training certification (yes
o) (t38 = 2.277, p = 0.029), years of experience (F3, 87 = 3.169, p = 0.028), facility size (F4,84 = 8.049, p < 0.001), and exercise science degree type (F3,48 = 6.008, p = 0.001) were all associated with client retention. This study provides insight on knowledge retention of active personal trainers on subject matter deemed foundational by four certifying organizations. The findings should influence both the preparatory learning and well as continuing education approaches of both certifying organizations and institutions of higher learning.
The purpose of this study was two-fold. In Specific Aim One, we examined the associations between education level, personal trainer credentials and characteristics, and knowledge of exercise science and personal training principles. In Specific Aim Two we examined associations between education, personal trainer credentials and knowledge of personal trainers with client retention. This study utilized a cross-sectional research design. An anonymous electronic survey was used to collect the data. Eligible participants (N=226) were individuals who were providing one-on-one personal training services for at least one client. All data were assessed for normality prior to data analysis. Descriptive statistics were used to evaluate sample characteristics. Mean and standard deviations, median and interquartile range [IQR] or frequency and percentages were reported for the sample characteristics. Bivariate associations were examined with dependent t-tests and one-way ANOVAs for normally distributed data. Mann- Whitney U and Kruskal-Wallis tests were used for non-normally distributed variables. The median knowledge score for the sample was 6.0 [3.00] points, out of a possible 24, with 92.5% of the sample scoring 10 or lower. Sex (Male/Female), education level, having a degree in the field, certification status (yes
o) and number of certifications were not associated with knowledge scores (p > 0.05). Years of experience in personal training was positively associated with mean knowledge scores (H(3) = 9.280, p = 0.026). Sex of the personal trainer, having a degree in the field (yes
o), the number of personal trainer certifications, the cost of training, the type of facility, the type of employment of the personal trainer and knowledge scores were not associated with client retention (p > 0.05). Education level (F3,87 = 8.176, p < 0.001), personal training certification (yes
o) (t38 = 2.277, p = 0.029), years of experience (F3, 87 = 3.169, p = 0.028), facility size (F4,84 = 8.049, p < 0.001), and exercise science degree type (F3,48 = 6.008, p = 0.001) were all associated with client retention. This study provides insight on knowledge retention of active personal trainers on subject matter deemed foundational by four certifying organizations. The findings should influence both the preparatory learning and well as continuing education approaches of both certifying organizations and institutions of higher learning.
ContributorsPreston, John H. (Author) / Der Ananian, Cheryl (Thesis advisor) / Berger, Christopher G (Committee member) / Vezina, Jesse (Committee member) / Arizona State University (Publisher)
Created2018