scholarly journals Impact of a School-Based Wellness Intervention on Leisure-Time Physical Activity Levels in Under-Resourced School Districts

2021 ◽  
pp. 101377
Author(s):  
Anne L. Escaron ◽  
Celia Vega-Herrera ◽  
Corina Martinez ◽  
Neil Steers ◽  
Marielena Lara ◽  
...  
Keyword(s):  
Physical Activity ◽  
School Districts ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Activity Levels ◽  
School Based ◽  
Physical Activity Levels ◽  
Wellness Intervention

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 ASSOCIATION BETWEEN SCREEN-BASED SEDENTARY BEHAVIOR AND LEISURE-TIME PHYSICAL ACTIVITY AMONG LITHUANIAN 5–7TH GRADE SCHOOLCHILDREN

2014 ◽  
Vol 1 (3) ◽  
pp. 1-10
Author(s):  
Vaiva Balčiūnienė
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Computer Games ◽  
Internet Use ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Levels ◽  
Tv Watching

Research background. The prevalence of obesity and chronic diseases among adolescents is rising rapidly in many Western European countries, including Lithuania (Zaborskis, Raskilas, 2011; Currie et al., 2012). Physical activity levels of children and adolescents have declined, whereas in contrast sedentary behavior has increased during the last few decades. In this study based on the cities and districts of Lithuanian population, leisure time physical activity and screen-based sedentary behaviors among 5–7th grade schoolchildren were assessed. The aim of the research was to evaluate association between screen-based sedentary behavior and leisure-time physical activity among Lithuanian 5–7th grade schoolchildren. Research methods and organization. Applying nested random selection / sampling method, 1117 schoolchildren of 5–7th grades from ten Lithuanian pro-gymnasiums, gymnasiums and secondary schools located in different cities and districts were selected. The study was conducted in 2013. The respondents were given a Questionnaire to identify schoolchildren’s demographic data, assess physical activity levels (recommended by the WHO) as well as the levels of time for screen-based sedentary behaviors. Results. In the survey it was established that only 23.3 % of schoolchildren were sufficiently physically active during their leisure time. The average length of TV watching was 3.30 ± 1.67 hours, playing computer 3.51 ± 1.86 hours and internet use 3.41 ± 1.85 hours on week-days. 7th grade girls engaged more frequently in TV watching as compared to 7th grade boys (p < 0.01). The time of playing computer games was higher among boys compared to girls (p < 0.001), but the time of internet use was higher among 6th grade girls compared to 6th grade boys (p < 0.05). The main factors that led to the lack of sufficient physical activity were female gender, senior grade and the higher time of playing computer games and searching the internet. Conclusions. The association between the time of screen-based sedentary behaviors and leisure time physical activity were determined. These study results encourage research of the relations between “exergame” and physical activity among schoolchildren. Keywords: physical activity, screen-based sedentary behaviors, schoolchildren.

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.

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