Correlates of Low Physical Activity Levels in Aging Men and Women: The DR’s EXTRA Study (ISRCTN45977199)

2015 ◽  
Vol 23 (2) ◽  
pp. 247-255 ◽  
Author(s):  
L. Hakola ◽  
M. Hassinen ◽  
P. Komulainen ◽  
T.A. Lakka ◽  
K. Savonen ◽  
...  

Recognizing correlates of low physical activity (PA) can help in targeting PA interventions for individuals who would benefit most from increasing their PA. We studied the associations of demographic, social, health, and lifestyle factors with low PA by sex in a population sample of 1,303 Finnish individuals aged 57–78 years. We defined low PA as no moderate or vigorous leisure-time PA reported in an interview. Altogether, 39% of men and 48% of women reported low PA. Satisfactory or poor perceived health and high BMI were independently associated with low PA in both sexes. In men, factors such as age, being divorced or separated, still working, having a weak social network, poor diet, and a health professional’s suggestion to increase PA were associated with low PA. In women, cardiovascular disease and depressive symptoms were associated with low PA. These results can be applied in targeting PA interventions.

2015 ◽  
Vol 23 (2) ◽  
pp. 247-255
Author(s):  
L. Hakola ◽  
M. Hassinen ◽  
P. Komulainen ◽  
T.A. Lakka ◽  
K. Savonen ◽  
...  

2016 ◽  
Vol 21 ◽  
pp. 372-380 ◽  
Author(s):  
Johanna C.W. De Vos ◽  
Dorita Du Toit ◽  
Dané Coetzee

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.


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Ronald C. Plotnikoff ◽  
Steven T. Johnson ◽  
Constantinos A. Loucaides ◽  
Adrian E. Bauman ◽  
Nandini D. Karunamuni ◽  
...  

At a population level, the method used to determine those meeting physical activity guidelines has important implications, as estimating “sufficient” physical activity might be confounded by weight status. The objective of this study was to test the difference between three methods in estimating the prevalence of “sufficient activity” among Canadian adults with type 2 diabetes in a large population sample (N=1614) while considering the role of weight status as a potential confounder. Our results revealed that estimates of physical activity levels vary by BMI categories, depending on the methods examined. Although physical activity levels were lower in the obese, their energy expenditure estimates were not different from those who were overweight or of a healthy weight. The implications of these findings are that biased estimates of physical activity at a population level may result in inappropriate classification of adults with type 2 diabetes as “sufficiently active” and that the inclusion of body weight in estimating physical activity prevalence should be approached with caution.


Obesity ◽  
2008 ◽  
Vol 16 (8) ◽  
pp. 1976-1979 ◽  
Author(s):  
Judy Kruger ◽  
Chong-Do Lee ◽  
Barbara E. Ainsworth ◽  
Caroline A. Macera

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

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