Differences in Occupational, Transportation, Domestic, and Leisure-Time Physical Activities: Do Geographical Location and Socio-Cultural Status Matter?

2012 ◽  
Vol 9 (2) ◽  
pp. 163-172 ◽  
Author(s):  
Alain P. Gauthier ◽  
Michel Lariviere ◽  
Raymond Pong ◽  
Susan Snelling ◽  
Nancy Young

Background:Researchers have recently expressed their concern for the health of Francophones and rural dwellers in Canada. Their levels of physical activity may explain part of the observed differences. However, little is known about the physical activity levels of these 2 groups. The purpose of this study was to assess levels of physical activity among a sample of Francophones and rural dwellers. The study also assessed the associations of various types of physical activity to measures of health status.Methods:A quota-based convenience sample of 256 adults from Northern Ontario was surveyed using the IPAQ and the SF-12.Results:There were no significant differences in activity levels between language groups (P = .06) or geographical groups (P = .22) on the combined dependent variables based on MANOVA. Leisure-time physical activity scores were consistently associated to better physical component summary scores of the SF-12.Conclusions:Implications for practice include that leisure-time physical activities have been at the forefront of public health promotion, and our findings support this approach. Further, population specific interventions are indeed important, however, within this Canadian context when identifying target groups one must look beyond sociocultural status or geographical location.

2002 ◽  
Vol 95 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Mathew S. Kerner ◽  
Michael I. Kalinski

Using the Theory of Planned Behavior as a framework, the Attitude to Leisure-time Physical Activity, Expectations of Others, Perceived Control, and Intention to Engage in Leisure-time Physical Activity scales were developed for use among high school students. The study population included 20 boys and 68 girls 13 to 17 years of age (for boys, M=15.1 yr., SD=1.0; for girls, M= 15.0 yr., SD= 1.1). Generation of items and the establishment of content validity were performed by professionals in exercise physiology, physical education, and clinical psychology. Each scale item was phrased in a Likert type format. Both unipolar and bipolar scales with seven response choices were developed. Following the pilot testing and subsequent revisions, 32 items were retained in the Attitude to Leisure-time Physical Activity scale. 10 items were retained in the Expectations of Others scale, 3 items were retained in the Perceived Control Scale, and 24 items were retained in the Intention to Engage in Leisure-time Physical Activity scale. Coefficients indicated adequate stability and internal consistency with α ranging from .81 to .96. Studies of validities are underway, after which scales would be made available to those interested in intervention techniques for promoting positive attitudes toward physical fitness, perception of control over engaging in leisure-lime physical activities, and good intentions to engage in leisure-time physical activities. The present results arc encouraging.


1991 ◽  
Vol 14 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Aaron R. Folsom ◽  
Timothy C. Cook ◽  
J. Michael Sprafka ◽  
Gregory L. Burke ◽  
Stephan W. Norsted ◽  
...  

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.


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