Vigorous physical activity among college students: Using the health belief model to assess involvement and social support

2014 ◽  
Vol 4 (2) ◽  
pp. 267-279 ◽  
Author(s):  
K. A. King ◽  
R. A. Vidourek ◽  
L. English ◽  
A. L. Merianos
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Health Belief Model ◽  
Vigorous Physical Activity ◽  
Health Belief ◽  
Belief Model ◽  
The Health Belief Model

scholarly journals Applying the Health Belief Model in Explaining the Stages of Exercise Change in Older Adults

2016 ◽  
Vol 23 (4) ◽  
pp. 221-225 ◽  
Author(s):  
Krzysztof Sas-Nowosielski ◽  
Andrzej Hadzik ◽  
Joanna Górna ◽  
Małgorzata Grabara
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Belief Model ◽  
Self Efficacy ◽  
Sedentary Lifestyle ◽  
Health Belief ◽  
Health Behaviours ◽  
Perceived Barriers ◽  
Belief Model ◽  
The Health Belief Model

Abstract Introduction. The benefits of physical activity (PA) have been so well documented that there is no doubt about the significance of PA for personal and social health. Several theoretical models have been proposed with a view to understanding the phenomenon of PA and other health behaviours. The purpose of this study was to evaluate if and how the variables suggested in the Health Belief Model (HBM) determine physical activity stages of change in older adults. Material and methods. A total of 172 students of Universities of the Third Age aged 54 to 75 (mean = 62.89 ± 4.83) years agreed to participate in the study, filling out an anonymous survey measuring their stage of exercise change and determinants of health behaviours proposed by the HBM, including: perceived benefits of physical activity, perceived barriers to physical activity, perceived severity of diseases associated with sedentary lifestyle, perceived susceptibility to these diseases, and self-efficacy. Results. The results only partially support the hypothesis that the HBM predicts intentions and behaviours related to the physical activity of older adults. Only two variables were moderately-to-strongly related to stages of exercise change, namely perceived barriers and self-efficacy. Conclusion. Interventions aimed at informing older adults about the benefits of physical activity and the threats associated with sedentary lifestyle can be expected to have rather a weak influence on their readiness for physical activity.

scholarly journals Physical Activities and Construct of Health Belief Models in the Special Region of Yogyakarta in the Era of Pandemy Covid-19

2021 ◽  
Vol 4 (2) ◽  
pp. 698-709
Author(s):  
Arika Umi Zar'in ◽  
Novita Intan Arovah
Keyword(s):  
Physical Activity ◽  
Health Belief Model ◽  
Health Belief ◽  
Moderate Physical Activity ◽  
Online Questionnaire ◽  
Belief Model ◽  
Belief Models ◽  
The Relationship ◽  
The Health Belief Model ◽  
Special Region

This study aims to determine (1) the pattern, level and status of physical activity, (2) differences in the level of physical activity based on the construct status of the health belief model and (3) the relationship between physical activity status and the construct status of the health belief model in the people of the Special Region of Yogyakarta. This research is a cross-sectional observational survey research on the DIY community as many as 390 people using convenience sampling technique with online questionnaire. Physical activity is measured using the Global Physical activity Questionnaire (GPAQ) which calculates the metabolic equivalent of task (MetS) per week, while the health belief model construct is measured using the adaptation instrument from the COVID-19 snapshoot and monitoring (COSMO-WHO). The pattern of physical activity is seen by the level of physical activity in three domains (work, transport and leisure or recreation). The difference in the level of total physical activity in the construct of health belief model uses kruskall-wallis, while the relationship between physical activity status and constructs in health belief is tested by using chi square with a confidence level of 5%. The results of this study indicate that the physical activity pattern of the DIY community is dominated by recreational activities, with an average of 868.37 Mets / week, followed by the work domain with an average of 521.28 Mets / week and the transport domain with an average of 233.54 Mets / week. People who fall into the category of moderate physical activity status are 71%. DIY people who have a high level of HBM status tend to have sufficient physical activity status with a sig value of 0,000 in all constructs. It can be concluded that there is a relationship between the HBM construct and the physical activity status in the new normal era in the DIY community with high HBM status, so they will have a better level of physical activity status than those who have low HBM status, with a correlation value of 0.89 which meaning very strong.

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