The Physical Activity Transition

2009 ◽  
Vol 6 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Caitlin Mason
Keyword(s):  
Physical Activity ◽  
Life Expectancy ◽  
Leisure Time ◽  
Activity Patterns ◽  
Mortality Rates ◽  
Morbidity And Mortality ◽  
Activity Levels ◽  
Public Health Burden ◽  
Physical Activity Levels ◽  
The World

Physical activity is important for the prevention of chronic disease morbidity and mortality, and the lack of adequate levels of physical activity represents a growing public health burden around the world. The purpose of this report is to introduce the concept of the “Physical Activity Transition” and to explore the potential effects that declining physical activity levels may play on health and life expectancy as countries undergo economic and demographic changes. Physical activity is related to mortality rates in humans, and the available evidence suggests that the adoption of a lifestyle characterized by lower levels of physical activity will attenuate the expected gains in life expectancy associated with the epidemiological transition. Advances in the measurement of physical activity at work, in the home, for transport, and in leisure time in a wide variety of populations will be integral to advancing the current understanding of how macro-level factors shape physical activity patterns and patterns of morbidity and mortality.

scholarly journals The types and levels of physical activity and sedentary behaviour of Senior Phase learners in Potchefstroom

2016 ◽  
Vol 21 ◽  
pp. 372-380 ◽  
Author(s):  
Johanna C.W. De Vos ◽  
Dorita Du Toit ◽  
Dané Coetzee
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Leisure Time ◽  
Leisure Activities ◽  
Physical Education Teachers ◽  
Activity Levels ◽  
Sedentary Behaviours ◽  
Physical Activity Levels ◽  
Intensity Physical Activity ◽  
Sedentary Activities

Background: Worldwide, the health risks of decreasing physical activity levels and increasing sedentary behaviour among adolescents are a raising concern.Objective: To determine the types and levels of physical activity as well as that of sedentary behaviour of a group Senior Phase learners in South Africa.Methods: The adapted Children's Leisure Activities Study Survey (CLASS) questionnaire was used for determining the types and levels of physical activity and sedentary behaviour of 230 Grade 7 learners, from three schools in Potchefstroom. Data were analysed by means of the SAS statistics programme, and descriptive statistics, as well as independent t-tests andeffect sizes (ES) were used.Results: Moderate to high-intensity physical activity levels of between 334 and 361 min per week were found, and sedentary behaviour of between 3077 and 3410 min per week, which implies that between 70.7% and 71.9% of the participants, did not meet the recommended health-based guidelines. Higher activity levels were shown during weekends, where the boys were significantly more active than girls (p < 0.001; ES between 0.21 and 0.56), and girls showed more sedentary behaviours than the boys (ES between 0.18 and 0.20). The leisure time physical activities with the highest participation were soccer, recreational swimming, jogging and dancing, while the sedentary activities were listening to music, riding a vehicle and being busy on the phone.Conclusion: Strategies need to be implemented to raise the physical activity levels of Senior Phase learners, especially during weekdays, and to decrease sedentary behaviour. With this view in mind, recommendations are made for Physical Education teachers.

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.

scholarly journals Risk Factors for Physical Inactivity Among Children With and Without Asthma Living in Peri-Urban Communities of Lima, Peru

2020 ◽  
Vol 17 (8) ◽  
pp. 816-822
Author(s):  
Sathvik Namburar ◽  
William Checkley ◽  
Oscar Flores-Flores ◽  
Karina M. Romero ◽  
Katherine Tomaino Fraser ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Urban Communities ◽  
Physical Inactivity ◽  
Activity Patterns ◽  
Special Focus ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Steps Per Day ◽  
Demographic Risk

Background: The authors sought to examine physical activity patterns among children with and without asthma in 2 peri-urban communities in Lima, Peru, to identify socioeconomic and demographic risk factors for physical inactivity and examine the relationship between asthma and physical activity. Methods: The authors measured mean steps per day in 114 children (49 with asthma and 65 without) using pedometers worn over a 1-week period. They also used the 3-day physical activity recall to determine the most common activities carried out by children. Results: The authors found that 84.2% of the children did not meet the daily international physical activity recommendations. Girls took significantly fewer mean steps per day as compared with boys (2258 fewer steps, 95% confidence interval, 1042–3474), but no other factors, including asthma status, showed significant differences in the mean daily steps. Mean daily steps were positively associated with higher socioeconomic status among girls, and current asthma had a larger inverse effect on daily steps in boys when compared with girls. Conclusion: Physical activity levels were below recommended guidelines in all children. There is a need for policy and neighborhood-level interventions to address low physical activity levels among Peruvian youth. Special focus should be given to increasing the physical activity levels in girls.

scholarly journals Activity Patterns and Correlates among Youth: Differences by Weight Status

2002 ◽  
Vol 14 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Wendell C. Taylor ◽  
James F. Sallis ◽  
Marsha Dowda ◽  
Patty S. Freedson ◽  
Karen Eason ◽  
...  
Keyword(s):  
Physical Activity ◽  
Family Support ◽  
Weight Status ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Activity Levels ◽  
Regression Analyses ◽  
Twelfth Graders ◽  
Physical Activity Levels ◽  
Significant Factors

The purposes of the study were to assess differences in physical activity levels and correlates of physical activity among overweight (‡ 85 th percentile of body mass index for their sex and age) and non-overweight (< 85th percentile) youth. The sample included 509 seventh through twelfth graders. Activity was measured by a 7-day, 46-item activity checklist. Overweight girls were more sedentary than non-overweight girls (p < .03), and non-overweight girls engaged in more vigorous physical activity than overweight girls (p < .03). For boys, there were no significant differences in activity. The regression analyses for vigorous activity yielded the largest total R2’s (R2 = .49 for overweight and R2 = .27 for non-overweight.) The significant factor for overweight youth was greater athletic coordination (p < .01). For non-overweight youth, the significant factors were greater family support (p < .05), greater peer support (p < .001), fewer barriers (p < .03), and greater athletic coordination (p < .01). Correlates of physical activity vary by weight status of young people.

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