scholarly journals The Role Healthcare Providers’ Physical Activity Levels Have On Barriers To Physical Activity Counseling

2018 ◽  
Vol 50 (5S) ◽  
pp. 67
Author(s):  
Bhibha M. Das ◽  
Katrina D. DuBose ◽  
Alexandra S. Peyton
Keyword(s):  
Physical Activity ◽  
Healthcare Providers ◽  
Activity Levels ◽  
Physical Activity Counseling ◽  
Activity Counseling ◽  
Physical Activity Levels ◽  
Barriers To Physical Activity

scholarly journals A Quasi-Experimental Study Examining the Impact and Challenges of Implementing a Fitness-Based Health Risk Assessment and a Physical Activity Counseling Intervention in the Workplace Setting

2019 ◽  
Vol 6 ◽  
pp. 233339281988418 ◽  
Author(s):  
Naomi C. Hamm ◽  
D. Scott Kehler ◽  
Jacqueline L. Hay ◽  
Andrew N. Stammers ◽  
Shaelyn M. Strachan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Activity Levels ◽  
Physical Activity Counseling ◽  
Counseling Intervention ◽  
Activity Counseling ◽  
Physical Activity Levels ◽  
Fitness Levels

Objectives: Few adults participate in enough physical activity for health benefits. The workplace provides a unique environment to deliver heath interventions and can be beneficial to the employee and the employer. The purpose of the study was to explore the use of a physical activity counseling (PAC) program and a fitness-based health risk assessment (fHRA) in the hospital workplace. Methods: A workplace-based intervention was developed utilizing a PAC program and an fHRA to improve physical activity levels of employees. Hospital employees were enrolled in a 4-month PAC program and given the option to also enroll in an fHRA program (PAC + fHRA). Physical activity was assessed by accelerometry and measured at baseline, 2 months, and 4 months. Changes in musculoskeletal fitness for those in the fHRA program were assessed at baseline and 2 months. Results: For both groups (PAC n = 22; PAC + fHRA n = 16), total and moderate to vigorous physical activity in bouts of 10 minutes or more increased significantly by 18.8 ( P = .004) and 10.2 ( P = .048) minutes per week at each data collection point, respectively. Only participants with gym memberships demonstrated increases in light physical activity over time. Those in the fHRA group significantly increased their overall musculoskeletal fitness levels from baseline levels (18.2 vs 21.7, P < .001). There was no difference in the change in physical activity levels between the groups. Conclusions: A PAC program in the workplace may increase physical activity levels within 4 months. The addition of an fHRA does not appear to further increase physical activity levels; however, it may improve overall employee musculoskeletal fitness levels.

Medical Student's Knowledge on Physical Activity Counseling is Associated with their Physical Activity Levels

2008 ◽  
Vol 40 (Supplement) ◽  
pp. S251 ◽  
Author(s):  
John Duperly ◽  
Carolina Segura ◽  
Deisy M. Herrera ◽  
Olga Lucia Sarmiento ◽  
Felipe Lobelo
Keyword(s):  
Physical Activity ◽  
Activity Levels ◽  
Physical Activity Counseling ◽  
Activity Counseling ◽  
Physical Activity Levels

Explaining physical activity levels from a self-efficacy perspective: the physical activity counseling trial

2007 ◽  
Vol 34 (3) ◽  
pp. 323-328 ◽  
Author(s):  
Chris M. Blanchard ◽  
Michelle Fortier ◽  
Shane Sweet ◽  
Tracey O’Sullivan ◽  
William Hogg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Activity Levels ◽  
Physical Activity Counseling ◽  
Activity Counseling ◽  
Physical Activity Levels

scholarly journals Physical Activity in Adolescents following Treatment for Cancer: Influencing Factors

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Marilyn Wright ◽  
Angie Bryans ◽  
Kaylin Gray ◽  
Leah Skinner ◽  
Amanda Verhoeve
Keyword(s):  
Physical Activity ◽  
Health Care Providers ◽  
Leisure Time ◽  
Qualitative Data ◽  
Comparison Group ◽  
Leisure Time Physical Activity ◽  
Activity Levels ◽  
Care Providers ◽  
Physical Activity Levels ◽  
Barriers To Physical Activity

The purpose of this study was to examine physical activity levels and influencing individual and environmental factors in a group of adolescent survivors of cancer and a comparison group. Methods. The study was conducted using a “mixed methods” design. Quantitative data was collected from 48 adolescent survivors of cancer and 48 comparison adolescents using the Godin Leisure-Time Exercise Questionnaire, the Fatigue Scale—Adolescents, and the Amherst Health and Activity Study—Student Survey. Qualitative data was collected in individual semistructured interviews. Results. Reported leisure-time physical activity total scores were not significantly different between groups. Physical activity levels were positively correlated with adult social support factors in the group of adolescent survivors of cancer, but not in the comparison group. Time was the primary barrier to physical activity in both groups. Fatigue scores were higher for the comparison but were not associated with physical activity levels in either group. The qualitative data further supported these findings. Conclusions. Barriers to physical activity were common between adolescent survivors of cancer and a comparative group. Increased knowledge of the motivators and barriers to physical activity may help health care providers and families provide more effective health promotion strategies to adolescent survivors of pediatric cancer.

Environmental, Transportation, Social, and Time Barriers to Physical Activity

2006 ◽  
Vol 3 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Amy I. Zlot ◽  
John Librett ◽  
David Buchner ◽  
Tom Schmid
Keyword(s):  
Physical Activity ◽  
Social Capital ◽  
Logistic Regression ◽  
Additive Effect ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Low Levels ◽  
Nationally Representative ◽  
Recommended Physical Activity ◽  
Barriers To Physical Activity

Purpose:This study examines environmental, transportation, social, and time barriers to physical activity.Methods:Survey questions from the nationally representative Greenstyles survey (N = 2181) were summed to create environmental, transportation, social, and time barrier variables. Logistic regression was used to determine if the barrier variables had a significant association with physical activity levels.Results:Those who have low barriers to physical activity are more likely to meet the recommended physical activity levels compared with those with medium and high barriers. In addition, transportation, social capital, and time barriers independently contributed to the low levels of physical activity.Conclusions:Removal of multiple barriers to physical activity may have an additive effect of increasing physical activity levels in Americans. Promoting physical activity requires strategies and research across multiple sectors to mitigate these barriers.

Can Healthcare Providers Increase Preoperative Physical Activity Levels in Bariatric Patients?

2010 ◽  
Vol 6 (3) ◽  
pp. 119-122 ◽  
Author(s):  
Robert Lim ◽  
Limaris Barrios ◽  
Daniel B. Jones ◽  
Daniel Rooks ◽  
Henry Lin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Healthcare Providers ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Bariatric Patients
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