scholarly journals Study on Characteristics of Particulate Matter Suspension in Indoor Space through Simulation Chamber Experiments: Influence of Physical Activity

2021 ◽  
Vol 22 (11) ◽  
pp. 376-383
Author(s):  
Sunghee Cho ◽  
Yeongmin Cho ◽  
Duckshin Park ◽  
Minjeong Kim
Keyword(s):  
Physical Activity ◽  
Particulate Matter ◽  
Indoor Space ◽  
Simulation Chamber

scholarly journals Community readiness assessment for disseminating evidence-based physical activity programs to older adults in Changsha, China: a case for Enhance®Fitness

2018 ◽  
Vol 27 (1) ◽  
pp. 59-67
Author(s):  
Minhui Liu ◽  
Xi Zhang ◽  
Jinnan Xiao ◽  
Feng Ge ◽  
Siyuan Tang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Rating Scale ◽  
Evidence Based ◽  
Community Readiness ◽  
Readiness Assessment ◽  
Community Knowledge ◽  
Indoor Space ◽  
Stage Of Readiness ◽  
Community Climate

Physical activity (PA) has declined in China due to urbanization in the past two decades. Evidence-based programs are good approaches to promote PA, but are limited in China. Adopting existing programs can be a viable option. Prior to that, readiness assessment is needed. This study aimed to assess community readiness levels for disseminating evidence-based PA programs to older adults in Changsha, China. In-person interviews were conducted with 33 participants of five districts in Changsha to assess the community readiness level in five dimensions: community knowledge of efforts, community climate, community knowledge about the issue, leadership and resources. Data was transcribed, reviewed and compared with an anchored rating scale to provide a stage of readiness score ranging from 1 (no awareness) to 9 (high level of community ownership). Participants included 14 community staff, 13 older adults, four community leaders and three health professionals. The top three barriers to disseminating PA programs were lack of appropriate locations, funding and instructors. The top three resources were availability of indoor space, chairs and loudspeakers. Community leadership was the highest-rated readiness dimension (3.3 out of 9) followed by community climate (3.2), community knowledge of efforts (3.1) and resources (2.8); knowledge about the issue scored the lowest (2.7). The overall community stage readiness score of Changsha was 3.0 out of 9. The stage of readiness for communities in Changsha, China is ‘vague awareness’. Developing strategies to improve community readiness levels may increase evidence-based PA program dissemination in Changsha, China.

UK Adults’ Exercise Locations, Use of Digital Programs and Associations with Physical Activity During the COVID-19 Pandemic: Longitudinal Analysis of Data from the Health Behaviors During the COVID-19 Pandemic Study (Preprint)

2021 ◽  
Author(s):  
Verena Schneider ◽  
Dimitra Kale ◽  
Aleksandra Herbec ◽  
Emma Beard ◽  
Abi Fisher ◽  
...  
Keyword(s):  
Physical Activity ◽  
Home Environment ◽  
Guideline Adherence ◽  
Indoor Space ◽  
Muscle Strengthening ◽  
Highly Educated ◽  
June July ◽  
The Relationship

BACKGROUND Digital physical activity (PA) program use has been associated with higher PA guideline adherence during COVID-19 pandemic confinements. However, little is known longitudinally about exercise locations (inside vs outside the home environment), digital program use and their associations with moderate-to-vigorous PA (MVPA) and muscle-strengthening activities (MSA) during the pandemic. OBJECTIVE To assess the relationship between exercise location and use of digital programs with PA guideline adherence during the COVID-19 pandemic; to describe how individuals exercised inside and outside of their home environments; to explore which socio-demographic and contextual predictors were associated with exercise locations and digital PA program use. METHODS UK adults (N=1,938) who participated in the 1-month follow-up survey of the HEBECO study (FU1, June/July 2020) and at least one more follow-up survey (FU2, August/September; FU3, November/December 2020) and who engaged in any MVPA or MSA were included. Participants reported exercise locations, types of exercises inside and outside their homes including digital programs (online or app-based fitness classes/programs), MVPA and MSA. Generalized linear mixed models assessed associations of exercise location and digital PA program use with PA guideline adherence (MVPA, MSA, full (combined) adherence), and predictors of exercise location and digital program use. RESULTS As the pandemic progressed, UK adults were less likely to exercise inside or to use digital PA programs compared with periods of initial confinement: 60% (weighted n=1,024), 50% (786) and 49% (723) did any exercise inside their homes at FU1, FU2 and FU3, respectively. Twenty-two percent (385), 17% (265) and 16% (241) used digital PA programs, respectively. Most participants who exercised inside indicated using already owned indoor equipment, digital PA programs or own workout routines, while MVPA and gentle walking were the most frequently reported exercise types outside people’s homes. Being female, non-white, having a condition limiting PA, indoor space, a lower BMI and living in total isolation were associated with increased odds to exercise inside one’s home or garden compared with outside only. Digital PA programs users were more likely to be younger, female, highly educated, have indoor space to exercise and a lower body mass index (BMI). While exercising inside was positively associated with MSA and exercising outside with MVPA guideline adherence, both inside (vs outside only) and outside activities (vs inside only) contributed to full PA guideline adherence (OR=5.05, 95% CI 3.17-8.03, and OR=1.89, 95% CI 1.10-3.23). Digital PA program use was associated with higher odds of MSA (OR ranges=3.97-8.71) and full PA (OR ranges=2.24-3.95), but not with MVPA guideline adherence. CONCLUSIONS During the COVID-19 pandemic, full PA guideline adherence was associated with exercising inside and outside of one’s home environment and using digital PA programs. More research is needed to understand reach, long-term adherence, and differences between digital PA programs.

Particulate matter air pollution, physical activity and systemic inflammation in Taiwanese adults

2018 ◽  
Vol 221 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Zilong Zhang ◽  
Gerard Hoek ◽  
Ly-yun Chang ◽  
Ta-Chien Chan ◽  
Cui Guo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Air Pollution ◽  
Particulate Matter ◽  
Systemic Inflammation

scholarly journals Air pollution, physical activity and ischaemic heart disease: a prospective cohort study of interaction effects

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e040912
Author(s):  
Wasif Raza ◽  
Benno Krachler ◽  
Bertil Forsberg ◽  
Johan Nilsson Sommar
Keyword(s):  
Physical Activity ◽  
Air Pollution ◽  
Cohort Study ◽  
Heart Disease ◽  
Particulate Matter ◽  
Interaction Effect ◽  
Lower Risk ◽  
Active Commuting ◽  
Increased Risk ◽  
Different Levels

ObjectiveTo assess a possible interaction effect between physical activity and air pollution on first incidence of ischaemic heart disease (IHD).DesignProspective cohort study.SettingUmeå, Northern Sweden.ParticipantsWe studied 34 748 adult participants of Västerbotten Intervention Programme cohort from 1990 to January 2014. Annual particulate matter concentrations (PM2.5 and PM10) at the participants’ residential addresses were modelled and a questionnaire on frequency of exercise and active commuting was completed at baseline. Cox proportional hazards modelling was used to estimate (1) association with physical activity at different levels of air pollution and (2) the association with particulate matter at different levels of physical activity.OutcomeFirst incidence of IHD.ResultsOver a mean follow-up of 12.4 years, there were 1148 IHD cases. Overall, we observed an increased risk of IHD among individuals with higher concentrations of particles at their home address. Exercise at least twice a week was associated with a lower risk of IHD among participants with high residential PM2.5 (hazard ratio (HR) 0.60; 95% CI: 0.44 to 0.82) and PM10 (HR 0.55; 95% CI: 0.4 to 0.76). The same beneficial effect was not observed with low residential PM2.5 (HR 0.94; 95% CI: 0.72 to 1.22) and PM10 (HR 0.99; 95% CI: 0.76 to 1.29). An increased risk associated with higher long-term exposure to particles was only observed among participants that exercised in training clothes at most one a week and among those not performing any active commuting. However, only the interaction effect on HRs for exercise was statistically significant.ConclusionExercise was associated with a lower risk of first incidence of IHD among individuals with higher residential particle concentrations. An air pollution-associated risk was only observed among those who exercised less. The findings support the promotion of physical activity and a mitigation of air pollution.

scholarly journals An app-based quick assessment tool for childcare PA environments and practices

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
C Müller ◽  
V Kaiser ◽  
H Hassel
Keyword(s):  
Physical Activity ◽  
Assessment Tool ◽  
Scientific Evidence ◽  
Group Discussions ◽  
Childcare Centers ◽  
Indoor Space ◽  
Additional Information ◽  
Huge Impact ◽  
Quick Assessment ◽  
Physical Activity Environments

Abstract Background Childcare centers are settings with a huge impact on children's health and health behavior and should therefore be encouraged to implement policies and practices to promote physical activity (PA). The project “QueB 2 - developing quality with and through physical activity” aims at exploring how stakeholders can be involved to identify childcare centers with need for action. For this purpose, an app-based quick assessment tool is developed. Methods We conducted two group discussions with stakeholders working with childcare centers (consultants, supervisors) about requirements in terms of applicability and criteria that are important and easily verifiable. Based on the results of the discussions and building on scientific evidence and existing frameworks, a quick assessment checklist was created and developed as a web app. The tool is tested by stakeholders and evaluated in further group discussions. Results Stakeholders require a simple assessment tool that can be used in counseling with small expenditure and is combined with information material. The developed app-based assessment tool consists of 20 items in 7 categories (indoor space, outdoor space, play equipment, activities, childcare center culture, professional development, network). It incorporates a simple scoring system with a total score ranging from 0 to 126. Based on the score, the tool shows a feedback window stating whether there is little, some or much need for action and providing additional information. Conclusions Stakeholders can be involved to sensitize childcare centers to the issue of physical activity environments and practices with the help of an app-based quick assessment tool. This is an important step before possible interventions can be implemented in childcare centers. Key messages An app-based assessment tool for childcare physical activity environments and practices is developed. It will enable stakeholders to identify childcare centers with need for action and offer support.

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