scholarly journals Using GIS to explore the impact of teenager’s environments on this physical activity, fitness and motivation: a cross-sectional study using data from the ACTIVE Randomised Control Trial

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Michaela James ◽  
Sinead Brophy
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Natural Resources ◽  
Natural Resource ◽  
Public Transport ◽  
School Environment ◽  
Active Travel ◽  
Pivotal Role ◽  
Randomised Control Trial ◽  
Cross Sectional

BackgroundMany teenagers are not meeting the recommended 60 minutes of moderate to vigorous physical activity (MVPA) a day. In Wales, research shows that only 11% of girls and 20% of boys are doing enough despite the psychological and physical benefits of an active lifestyle. Research has shown that a teenager’s environment influences PA levels. Main AimThe ACTIVE Project explored how teenager’s (aged 13 – 14) environments impact their physical activity, fitness and motivation. MethodsData scientists from Swansea University carried out a cross-sectional analysis of baseline data from the ACTIVE randomised control trial. This included 270 teenagers from 7 secondary schools in Wales’ most deprived areas. Using QGIS 2.18 and open source data to create maps, teenager’s homes, schools and environmental factors such as public transport, active travel routes and natural resources (e.g. green and blue spaces) were geocoded. The distance matrix and distance to nearest hub algorithms were used to create a database which was exported for analysis. ResultsMultivariate regression analysis showed the school environment plays a pivotal role in physical activity. Public transport and natural resources needed to be closer to schools to positively impact activity. More affluent pupils were more motivated to be active and higher motivation was associated with closer active travel and natural resource to schools. Fitness was not impacted by environmental factors. Interestingly ACTIVE found that, as PA improves, sedentary time increases. ConclusionThe school environment plays a pivotal role in teenage physical activity and motivation. Namely, distance to natural resources, suggesting that access to green/blue space is important. There is some contradiction between increased MVPA and higher levels of sedentary behaviour. Improving physical activity opportunities for teenagers in deprived schools especially active transport and access to natural resource, would be beneficial to cardiovascular health.

scholarly journals Evidence-Based Overview of Accelerometer-Measured Physical Activity during School Recess: An Updated Systematic Review

2021 ◽  
Vol 18 (2) ◽  
pp. 578
Author(s):  
Sergio Pulido Sánchez ◽  
Damián Iglesias Gallego
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
School Environment ◽  
Vigorous Physical Activity ◽  
Extraction Process ◽  
Intervention Programs ◽  
World Health ◽  
After School ◽  
Cross Sectional ◽  
Physically Active

Interest in analyzing physically active behaviors during school recesses has grown in recent years as the school environment has consolidated (recess, physical education classes, lunch-time, before and after school) as a crucial space to bring these levels towards those recommended through intervention programs and improvements in the school environment. Unfortunately, in most of these studies, children do not achieve the 60 min a day of moderate to vigorous physical activity (MVPA) recommended by the World Health Organization. The aim of this systematic review is to analyze the cross-sectional, longitudinal, and intervention studies objectively measured with accelerometers that have emerged in recent years to determine the amount of MVPA of children at recess. This systematic review followed the PRISMA guidelines. The extraction process for the studies included in this systematic review yielded a total of 43 articles. The studies were classified according to the methodological nature of the research: cross-sectional (n = 34), longitudinal (n = 3) and quasi-experimental (n = 6). The results of the studies confirm that during the recess period younger children are physically more active than older ones and that in general, boys are more physically active than girls. In addition, the data show that the school contributes to more than 40% of the total MVPA. The intervention programs led to an increase in MVPA of up to 5%. Providing schools with equipment and facilities shows that intervention programs are beneficial for raising children’s levels of physical activity.

scholarly journals Simultaneous presence of excess weight and insufficient hours of sleep in adolescents: prevalence and related factors

2017 ◽  
Vol 27 (2) ◽  
pp. 148
Author(s):  
Tiago Rodrigues de Lima ◽  
Gabriel Renaldo de Sousa ◽  
João Antônio Chula de Castro ◽  
Diego Augusto Santos Silva
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Body Fat ◽  
School Environment ◽  
Paediatric Population ◽  
Health Problems ◽  
Related Factors ◽  
Cross Sectional ◽  
Insufficient Sleep ◽  
School Based

Introduction: An increase in excess body fat and a decrease in the number of hours of sleep per day are health problems affecting the paediatric population. Objective: To estimate the combined prevalence of overweight and insufficient sleep/day in adolescents, and the association with sociodemographic characteristics, physical activity and sedentary behaviour. Methods: A cross-sectional school-based study was conducted with 1,132 participants from 14 to 19 years old in São José, Santa Catarina, Brazil. Body fat was assessed by body mass index (BMI) and classified by the Z-score, while adolescents reported the total hours of sleep/day. Sociodemographic data, physical activity and sedentary behaviour were collected by self-filled questionnaire. Results: The simultaneous prevalence of overweight and insufficient sleep/day was 17.5%. The factors associated with this condition were to meet the recommendations of the practice of physical activity per week, participate in gym class twice/week and period greater/equal to four hours/day in front of the screen. Conclusion: Guidelines in the school environment in relation to health problems posed by weight excess and the amount of insufficient hours sleep can be present when recommendations on physical activity and sedentary behaviour are given to students.

Predictors of Physical Activity Levels in Community-Dwelling Older Adults: A Multivariate Approach Based on a Socio-Ecological Framework

2018 ◽  
Vol 26 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Koren L. Fisher ◽  
Elizabeth L. Harrison ◽  
Brenda G. Bruner ◽  
Joshua A. Lawson ◽  
Bruce A. Reeder ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Environmental Factors ◽  
The Elderly ◽  
Home Care Services ◽  
Community Dwelling ◽  
Nursing Home Care ◽  
Activity Levels ◽  
Inverse Association ◽  
Cross Sectional

The purpose of this study was to explore cross-sectional relationships between self-reported physical activity (PA) and personal, social, and environmental factors in community-dwelling adults aged 50 years and older. Accounting for clustering by neighborhood, generalized estimating equations were used to examine associations between selected correlates and the Physical Activity Scale for the Elderly (PASE) score while adjusting for confounders. Data for 601 participants were analyzed: 79% female, 37% married, mean age 76.8 (± 8.7) years, mean PASE score 112.6 (± 64.8). Age, living in seniors’ housing, using nursing/home care services, receiving encouragement to be active, and having benches available in the neighborhood were inversely associated with PASE. Self-efficacy, SF-12 score, PA barriers, social support, and the presence of trails showed positive associations. Several personal, social, and environmental factors associated with PA were identified. The inverse association between PA and living in seniors’ housing units should be considered when developing PA programs for older adults.

scholarly journals Exploring the Health-Promoting Potential of the “parkrun” Phenomenon: What Factors are Associated With Higher Levels of Participation?

2018 ◽  
Vol 33 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Verity Cleland ◽  
Meredith Nash ◽  
Melanie J. Sharman ◽  
Suzi Claflin
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Regression Models ◽  
Online Survey ◽  
Multivariate Analyses ◽  
Health Gain ◽  
Cross Sectional ◽  
Physically Active ◽  
Health Promoting ◽  
Intentions To Participate

Purpose: “ parkrun” is a free and increasingly popular weekly 5-km walk/run international community event, representing a novel setting for physical activity (PA) promotion. However, little is known about who participates or why. This study aimed to identify sociodemographic, health, behavioral, individual, social, and environmental factors associated with higher levels of participation. Design: Cross-sectional. Setting: Tasmania, Australia; June 2016. Participants: Three hundred seventy two adult parkrun participants. Measures: Online survey measuring sociodemographic, health, individual, social and environmental factors, parkrun participation, and PA. Analysis: Descriptive statistics, zero-truncated Poisson regression models. Results: Respondents (n = 371) were more commonly women (58%), aged 35 to 53 years (54%), and occasional or nonwalkers/runners (53%) at registration. A total of 44% had overweight/obesity. Half had non-adult children, most spoke English at home, and 7% reported PA-limiting illness/injury/disability. Average run/walk time was 30.2 ± 7.4 minutes. Compared to regular walkers/runners at registration, nonwalkers/runners were less commonly partnered, more commonly had overweight/obesity, less physically active, and had poorer self-rated health. Multivariate analyses revealed relative parkrun participation was inversely associated with education level and positively associated with interstate parkrun participation, perceived social benefits, self-efficacy for parkrun, and intentions to participate. Conclusion: parkrun attracts nonwalkers/runners and population groups hard to engage in physical activity. Individual- and social-level factors were associated with higher relative parkrun participation. parkrun’s scalability, accessibility, and wide appeal confers a research imperative to investigate its potential for public health gain.

Students’ engagement profiles in mathematics according to learning environment dimensions: Developing an evidence base for best practice in mathematics education

2017 ◽  
Vol 38 (2) ◽  
pp. 166-183 ◽  
Author(s):  
Helen M. G. Watt ◽  
Colin Carmichael ◽  
Rosemary Callingham
Keyword(s):  
Mathematics Education ◽  
Environmental Factors ◽  
School Environment ◽  
Best Practice ◽  
Latent Class ◽  
Evidence Base ◽  
Learning Climate ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Key Dimensions

The Best Practice in Mathematics Education project was funded by the Australian Office of the Chief Scientist, to examine promotion of students’ learning, engagement and aspirations in this core learning domain. We draw upon cross-sectional survey data from 551 students in grades three to nine to examine how students’ mathematics engagement relates to key dimensions of their learning climate (mastery or performance focused classrooms), teacher enthusiasm, and school caring. Engagement is known to be associated with positive school outcomes and influenced by environmental factors. Less known is whether, and the extent to which, students have different profiles of engagement across component dimensions (Fredricks, Blumenfeld, & Paris, 2004); and, how profiles may differ according to experienced environment dimensions. We first develop profiles of adolescents’ behavioral, emotional, and cognitive engagement using multilevel latent class analysis, educing three profiles of ‘engaged’, ‘compliant’, and ‘disengaged’ students, who systematically differed on experienced environmental factors. Mastery focused classrooms, enthusiastic teachers and caring school environment were experienced most by engaged, and least by disengaged students; performance focused classrooms were unrelated to engagement profiles. Identified patterns will be of particular use to teachers in understanding how class, teacher, and school influences together shape students’ own engagement in mathematics.

Neighborhood Environment, Access to Places for Activity, and Leisure-Time Physical Activity in a Diverse North Carolina Population

2003 ◽  
Vol 18 (1) ◽  
pp. 58-69 ◽  
Author(s):  
Sara L. Huston ◽  
Kelly R. Evenson ◽  
Philip Bors ◽  
Ziya Gizlice
Keyword(s):  
Physical Activity ◽  
North Carolina ◽  
Environmental Factors ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Heavy Traffic ◽  
Leisure Activity ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Cross Sectional

Purpose. To examine associations between perceived neighborhood characteristics, access to places for activity, and leisure-time physical activity. Design. Cross-sectional telephone survey. Setting. Cabarrus, Henderson, Pitt, Robeson, Surry, and Wake counties in North Carolina. Subjects. Population-based sample of 1796 adults at least 18 years of age residing in the six counties. Measures. The 133-item questionnaire assessed self-reported leisure-time physical activity and perceptions of neighborhood characteristics (sidewalks, trails, heavy traffic, streetlights, unattended dogs, and safety from crime) and general access to places for physical activity. Results. Trails, streetlights, and access to places were positively associated with engaging in any leisure activity: unadjusted odds ratio (OR) (95% confidence interval [CI]); 1.62 (1.09–2.41), 1.57 (1.14–2.17), and 2.94 (1.91–4.52), respectively. Trails and access to places were positively associated with engaging in the recommended amount of leisure activity: 1.49 (1.00–2.22), and 2.28 (1.30–4.00), respectively). In multivariable logistic regression modeling including environmental factors and demographics, access to places was associated with any activity (2.23 [1.44–3.44]) and recommended activity (2.15 [1.23–3.77]), and trails were associated with recommended activity (1.51 [1.00–2.28]). Conclusion. Certain neighborhood characteristics, particularly trails, and access to places for physical activity may be associated with leisure activity levels. In this study, perceived neighborhood environmental factors and access to places for physical activity were strongly associated with race, education, and income.

Physical activity accrued as part of public transport use in England

2018 ◽  
Vol 41 (2) ◽  
pp. 222-230 ◽  
Author(s):  
R Patterson ◽  
E Webb ◽  
C Millett ◽  
A A Laverty
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Confidence Interval ◽  
Public Transport ◽  
Regression Models ◽  
Daily Life ◽  
Active Travel ◽  
Linear Regression Models ◽  
Physical Activity Guidelines ◽  
Logistic Regression Models

Abstract Background Walking and cycling for transport (active travel) is an important source of physical activity with established health benefits. However, levels of physical activity accrued during public transport journeys in England are unknown. Methods Using the English National Travel Survey 2010–14 we quantified active travel as part of public transport journeys. Linear regression models compared levels of physical activity across public transport modes, and logistic regression models compared the odds of undertaking 30 min a day of physical activity. Results Public transport users accumulated 20.5 min (95% confidence interval=19.8, 21.2) a day of physical activity as part of public transport journeys. Train users accumulated 28.1 min (26.3, 30.0) with bus users 16.0 min (15.3, 16.8). Overall, 34% (32%, 36%) of public transport users achieved 30 min a day of physical activity in the course of their journeys; 21% (19%, 24%) of bus users and 52% (47%, 56%) of train users. Conclusion Public transport use is an effective way to incorporate physical activity into daily life. One in three public transport users meet physical activity guidelines suggesting that shifts from sedentary travel modes to public transport could dramatically raise the proportion of populations achieving recommended levels of physical activity.

scholarly journals The contribution of active travel to children's physical activity levels: Cross-sectional results from the ALSPAC study

2009 ◽  
Vol 48 (6) ◽  
pp. 519-524 ◽  
Author(s):  
Esther M.F. van Sluijs ◽  
Victoria A. Fearne ◽  
Calum Mattocks ◽  
Chris Riddoch ◽  
Simon J. Griffin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Active Travel ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Children’S Physical Activity

Perceived Walkability, Social Support, Age, Native Language, and Vehicle Access as Correlates of Physical Activity: A Cross-Sectional Study of Low-Socioeconomic Status, Ethnic, Minority Women

2011 ◽  
Vol 8 (8) ◽  
pp. 1098-1107 ◽  
Author(s):  
Daniel F. Perez ◽  
Paul G. Ritvo ◽  
Patrick E. Brown ◽  
Eric Holowaty ◽  
Chris Ardern
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Environmental Factors ◽  
Ethnic Minority ◽  
Native Language ◽  
English Speakers ◽  
Cross Sectional ◽  
Active Individual ◽  
Social Environmental ◽  
Social Environmental Factors

Background:The role of social-environmental factors in physical activity (PA) within lower income and ethnic minority populations is understudied. This study explored correlates of age-related PA and perceived walkability (PW).Methods:Cross-sectional data (N = 401 women; ≥18 y) were collected within the Jane-Finch community in Toronto, Ontario using questionnaires. Generalized additive models, an extension to multiple regression, were used to estimate effect sizes and standard errors.Results:Significant interactions between native language and car access (CA) were observed in PA variation across the lifespan. Individuals were evenly distributed across 4 comparison groups: 29.2% English-NoCA, 24.1% English-CA, 20.7% Non-English-NoCA, and 26.0% NonEnglish-CA. Risk of sedentariness increased with age for native English speakers > 50 years, but appears unaffected by age for other groups. English speakers without CA < 60 years appear least likely to be sedentary, followed by English speakers with CA. In general, an active individual at the 75th percentile of social support for exercise would have 1.62 (CI: 1.22−2.17) times the MET-Hours of PA than an active individual at the 25th percentile of SSE.Conclusions:English language facility and car access moderate relationships of social-environmental factors and PA. Further investigation is required to better understand correlates of PA for women in this demographic.

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