Canadian Population Trends in Leisure-Time Physical Activity Levels, 1981-1998

2002 ◽  
Vol 27 (6) ◽  
pp. 681-690 ◽  
Author(s):  
Marny J. Bruce ◽  
Peter T. Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Temporal Trends ◽  
Population Level ◽  
Activity Levels ◽  
Canadian Population ◽  
Physical Activity Levels ◽  
Using Data

Age, sex, geographic and temporal trends in leisure-time physical activity levels were examined using data from five national surveys conducted between 1981 and 1998. Physical activity energy expenditure (AEE) was higher among men compared to women, and in younger versus older adults. AEE increased from Eastern to Western Canada, with a significant temporal trend of increasing AEE. The prevalence of physical inactivity (expending < 12.6 kJ • kg−1• day−1) has decreased; however, it remains high (women: 77%; men: 74%). The high prevalence of physical inactivity emphasizes the importance of population-level physical activity surveillance and interventions. Key words: exercise, lifestyle, Canada Fitness Survey

Physical inactivity and headache disorders: Cross-sectional analysis in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Cephalalgia ◽  
2021 ◽  
pp. 033310242110292
Author(s):  
Arão Belitardo de Oliveira ◽  
Juliane Prieto Peres Mercante ◽  
Mario Fernando Prieto Peres ◽  
Maria Del Carmen B Molina ◽  
Paulo A Lotufo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
World Health ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Commuting Time ◽  
Health Organization ◽  
Physical Activity Domain

Background Physical inactivity has been linked to headache disorders but estimates based on the current World Health Organization physical activity guidelines are unknown. Objective To test the associations between headache disorders and physical inactivity in the ELSA-Brasil cohort. Methods In a cross-sectional analysis, linear (continuous variables) and logistic regression models (categorical variables) tested the associations of physical activity levels in the leisure time, commuting time, and combined leisure time physical activity + commuting time physical activity domains with headache disorders, adjusted for the effects of sociodemographic data, cardiovascular risk variables, psychiatric disorders, and migraine prophylaxis medication. Results Of 15,105 participants, 14,847 (54.4% women) provided data on physical activity levels and headache. Higher physical activity levels (continuous values) in the leisure time physical activity domain associated with lower migraine and tension-type headache occurrence and lower headache attack frequency, while in the commuting time physical activity domain it associated with more frequent headache attacks. Compared to people who met World Health Organization physical activity levels in the leisure time physical activity or combining leisure time physical activity + commuting time physical activity domains (i.e. ≥150 min.wk−1 of moderate and/or ≥75 min.wk−1 of vigorous physical activity), physical inactivity associated with higher migraine occurrence, while somewhat active (i.e. not meeting World Health Organization recommendations) associated with higher migraine and tension-type headache occurrence. Physical inactivity in the commuting time physical activity domain associated with higher tension-type headache in men and lower migraine in women. Physical inactivity within vigorous leisure time physical activity intensity, but not moderate leisure time physical activity, associated with higher migraine, mostly in women. Finally, physical inactivity associated with higher headache attack frequency regardless headache subtype. Conclusion Physical inactivity and unmet World Health Organization physical activity levels associate with primary headaches, with heterogeneous associations regarding headache subtype, sex, physical activity domain/intensity, and headache frequency in the ELSA-Brasil study.

Leisure-Time Physical Activity Levels Among Canadian Adolescents, 1981–1998

2004 ◽  
Vol 1 (2) ◽  
pp. 154-162 ◽  
Author(s):  
Joey C. Eisenmann ◽  
P.T. Katzmarzyk ◽  
Mark S. Tremblay
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Linear Models ◽  
Leisure Time Physical Activity ◽  
Empirical Studies ◽  
Temporal Trends ◽  
Age Groups ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Old Females

Background:In recent years, it has been noted that children and youth are physically inactive, and physical activity levels have declined over the past decades. However, few empirical studies have been conducted to test this assumption. Therefore, the purpose of this study was to examine leisure-time physical activity levels among Canadian adolescents 12–19 years of age.Methods:Age, sex, geographic, and temporal trends in leisure-time physical activity energy expenditure (AEE) were examined using data from 5 national surveys conducted between 1981 and 1998. AEE was calculated from participants’ questionnaire responses on physical activity participation. General linear models were used to examine the differences in AEE across survey years, geographic regions, sexes, and age groups.Results:Males and 12–14-year-olds displayed greater AEE than females and 15–19-year-olds, respectively, and AEE was lowest in Quebec and highest in the West. AEE increased between the 1981 and 1988 surveys and has since remained relatively stable. The prevalence of subjects meeting the 12.6 kJ · kg−1 · d−1 (3 kcal · kg−1 · d−1) recommendation increased from 1981 to 1988. Since 1988, the prevalence of those meeting the 12.6 kJ · kg−1 · d−1 recommendation has decreased in 12–14 year old boys and remained relatively stable in the other groups. In 1998, about 45% of males and 35% of females met the 12.6 kJ · kg−1 · d−1 recommendation. In 1998, about 20% of 12–19-year-old males and 12–14-year-old females met the 25.1 kJ · kg−1 · d−1 (6 kcal · kg−1 · d−1) recommendation, while about 10% of 15–19-year-old females met this recommendation. In females, the prevalence of those meeting the 25.1 kJ · kg−1 · d−1 recommendation has remained relatively stable (about 10%) since 1981 except for an increase between 1996 and 1998 in 12–14-year-old girls. In males, a similar pattern, but not as dramatic, of that observed for the prevalence of those meeting the 12.6 kJ · kg−1 · d−1 emerged—that is, an increase between 1981 and 1988 and then a decrease in 12–14-year-old boys and a stable pattern in 15–19-year-old boys.Conclusion:Although self-reported leisure-time physical activity appears to have increased since 1981, a majority of Canadian adolescents do not meet current recommendations for physical activity.

Differences in leisure-time physical activity levels between blacks and whites in population-based samples: The Minnesota heart survey

1991 ◽  
Vol 14 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Aaron R. Folsom ◽  
Timothy C. Cook ◽  
J. Michael Sprafka ◽  
Gregory L. Burke ◽  
Stephan W. Norsted ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Blacks And Whites

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

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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