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2,820 results for “Physical activity”
Physical Activity Choices Everyday
ClinicalTrials.gov study NCT03824769. IPD Sharing: NO. Countries: 1. Publications: 1.
Physical Activity in the Medical Workplace
ClinicalTrials.gov study NCT02794727. IPD Sharing: NO. Countries: 1. Publications: 1.
Testing Self-Control as a Behavior Change Mechanism to Increase Physical Activity
ClinicalTrials.gov study NCT04522141. IPD Sharing: NO. Countries: 1. Publications: 2.
Can a Smartphone App That Includes a Chatbot-based Coaching and Incentives Increase Physical Activity in Healthy Adults?
ClinicalTrials.gov study NCT03384550. IPD Sharing: YES. Countries: 1. Publications: 2.
Lifestyle Modification Program for Lung Cancer Patients - Physical Activity Preference
ClinicalTrials.gov study NCT04104516. IPD Sharing: NO. Countries: 1. Publications: 3.
Comparing a Workplace Resilience and a Physical Activity Intervention on Early Childhood Educators Well-being
ClinicalTrials.gov study NCT06919952. IPD Sharing: YES. Countries: 1. Publications: 0.
Daily Activity Study of Health: Increasing Physical Activity in Aging
ClinicalTrials.gov study NCT04315363. IPD Sharing: NO. Countries: 1. Publications: 1.
Physical Activity and Quality of Life in Fibrotic Lung Diseases After Initiating Anti-fibrotic Therapy and Pulmonary Rehabilitation
ClinicalTrials.gov study NCT05866198. IPD Sharing: NO. Countries: 1. Publications: 4.
Adolescence is characterized by more sedentary behavior and less physical activity even among highly active forager-farmers
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Experimental evidence that physical activity affects the multivariate associations among muscle attachments (entheses)
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Extended data for behavioural change for Parkinson’s disease: A randomised controlled feasibility study to promote physical activity and exercise adherence among people with Parkinson’s, study protocol
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Effects of individualized step targets on physical activity in COPD. A randomized study
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Physical activity is associated with exercise capacity among patients undergoing chemotherapy: a pilot randomized controlled trial
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Increased physical activity does not improve obesity-induced decreases in muscle quality in zebrafish (Danio rerio)
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Health profile of elderly users of a town public program of physical activity: a cross-sectional study
<p>This repository contains the full database generated in the study entitled "Health profile of elderly users of public physical activity programs in the city of Porto Alegre" (Hospital de Clínicas de Porto Alegre). This project was approved by the Institutional Review Board (IRB) in 2018 and carried out between 2018-2020.</p> <p> </p>
Comparing three screen-based sedentary behaviours' effect upon adolescents' participation in physical activity: The ESSENS study
<p class="Arthurstyle1">Background: Literature focusing on the association between sedentary behaviours and physical activity has provided equivocal results and has been dominated by TV viewing as the indicator of sedentary behaviour. There is a need for more studies exploring the association between contemporary screen activities and physical activity among youth.</p> <p class="Arthurstyle1">Methods: A cross-sectional study including 742 adolescents was conducted in 2016. Data were collected at school through an online questionnaire. Regression analyses were used to explore the association between different screen-based sedentary behaviours and participation in physical activity.</p> <p class="Arthurstyle1">Results: The results showed that those with lower (vs higher) time spent on TV/movie streaming and electronic game playing both on weekdays and weekend days had significantly higher odds of participating in physical activity. There were no significant associations between socializing/surfing online both on weekdays and weekend days and physical activity in adjusted models.</p> <p class="Arthurstyle1">Conclusions: TV/movie streaming and electronic game playing during both weekdays and weekend days were significantly inversely related with participating in physical activity. Initiatives aimed at reducing screen-based sedentary activities might result in favourable effects on physical activity levels among adolescents.</p>
Data from: 8-year trends in physical activity, nutrition, TV viewing time, smoking, alcohol and BMI: a comparison of younger and older Queensland adults
Lifestyle behaviours significantly contribute to high levels of chronic disease in older adults. The aims of the study were to compare the prevalence and the prevalence trends of health behaviours (physical activity, fruit and vegetable consumption, fast food consumption, TV viewing, smoking and alcohol consumption), BMI and a summary health behaviour indicator score in older (65+ years) versus younger adults (18-65 years). The self-report outcomes were assessed through the Queensland Social Survey annually between 2007-2014 (n=12,552). Regression analyses were conducted to compare the proportion of older versus younger adults engaging in health behaviours and of healthy weight in all years combined and examine trends in the proportion of younger and older adults engaging in health behaviours and of healthy weight over time. Older adults were more likely to meet recommended intakes of fruit and vegetable (OR=1.43, 95%CI=1.23-1.67), not consume fast food (OR=2.54, 95%CI=2.25-2.86) and be non-smokers (OR=3.02, 95%CI=2.53-3.60) in comparison to younger adults. Conversely, older adults were less likely to meet the physical activity recommendations (OR=0.86, 95%CI= 0.78-0.95) and watch less than 14 hours of TV per week (OR=0.65, 95%CI=0.58-0.74). Overall, older adults were more likely to report engaging in 3, or at least 4 out of 5 healthy behaviours. The proportion of both older and younger adults meeting the physical activity recommendations (OR=0.97, 95%CI=0.95-0.98 and OR=0.94, 95%CI=0.91-0.97 respectively), watching less than 14 hours of TV per week (OR=0.96, 95%CI=0.94-0.99 and OR=0.94, 95%CI=0.90-0.99 respectively) and who were a healthy weight (OR=0.95, 95%CI=0.92-0.99 and OR=0.96, 95%CI=0.94-0.98 respectively) decreased over time. The proportion of older adults meeting the fruit and vegetable recommendations (OR=0.90, 95%CI=0.84-0.96) and not consuming fast food (OR=0.94, 95%CI=0.88-0.99) decreased over time. Although older adults meet more health behaviours than younger adults, the decreasing prevalence of healthy nutrition behaviours in this age group needs to be addressed.
Data from: How are different levels of knowledge about physical activity associated with physical activity behaviour in Australian adults?
People with knowledge of the benefits of physical activity tend to be more active; however, such knowledge is typically operationalized as a basic understanding that physical activity is 'good' for health. Therefore, the aim of this study was to investigate whether there are differences in how detailed a person's knowledge is about the benefits of physical activity. Participants (N=615) completed an online survey to measure their current physical activity behaviour, as well as their level of knowledge of the benefits and risks of physical (in)activity. The majority of participants (99.6%) strongly agreed that physical activity is good for health, however on average, participants only identified 13.8 out of 22 diseases associated with physical inactivity and over half of participants (55.6%) could not identify how much physical activity is recommended for health benefits. Furthermore, 45% of the participants overestimated, 9% underestimated and 27% did not know the increased risk of disease resulting from inactivity as indicated by the Australian Department of Health. Participants were significantly more active when they correctly identified more diseases associated with physical inactivity and when they overestimated the risks associated with inactivity. Therefore, health promotion initiatives should increase knowledge of the types of diseases associated with inactivity. Low knowledge of physical activity guidelines suggest they should be promoted more, as this knowledge provides guidance on frequency, types and duration of physical activity needed for health.
Data from: Naturally-occurring changes in social-cognitive factors modify change in physical activity during early adolescence
Purpose. To determine whether naturally-occurring changes in children's motives and beliefs are associated with the steep decline in physical activity observed from childhood to early adolescence. Methods. Latent growth modeling was applied in longitudinal tests of social-cognitive influences, and their interactions, on physical activity in a large cohort of boys and girls evaluated annually between 5th and 7th grades. Results. Measurement equivalence of motives and beliefs was confirmed between boys and girls. After adjustment for gender and maturity differences, physical activity declined less in children who reported the least decreases in self-efficacy for overcoming barriers to activity and perceived parental support. Physical activity also declined less in students who persistently felt they had more parental and friend support for activity compared to those who reported the largest decrease in support from friends. After further adjustment for race, the decline in physical activity was less in those who had the largest decrease in perceived barriers and maintained a favorable perception of their neighborhood environment. Changes in enjoyment and social motives were unrelated to change in physical activity. Conclusion. Using an objective measure of physical activity, we confirm that naturally-occurring changes in children's beliefs about barriers to physical activity and their ability to overcome them, as well as perceptions of their neighborhood environment and social support, are concurrent with age-related declines in children's physical activity. The longitudinal findings confirm these putative social-cognitive mediators as plausible, interacting targets of interventions designed to mitigate the marked decline in physical activity that occurs during the transition between elementary and middle schools.
Self-efficacy to Regulate physical activity
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