The Association Between the Physical Environment of Primary Schools and Active School Transport

This study examined the relationship between the physical environment characteristics of primary schools and active school transport among 3,438 5- to 12-year-old primary school children in the Netherlands. The environmental characteristics were categorized into four theory-based clusters (function, safety, aesthetics, and destination). The correlations between the clusters and active school transport were examined, and multilevel regression analyses were used to examine the association between the clusters and active school transport. No correlations were found between environmental clusters and active school transport for younger children (age 5-9), but for older children (age 9-12), strong positive correlations were found between aesthetics and active transport as were found for safety and active transport. School neighborhood aesthetics were related to active transport for older primary school children. Presence of parks, good maintenance of green spaces, and absence of litter in the school environment contributed most to the positive association between aesthetics and active school transport. © 2014 SAGE Publication

Play Equipment, Physical Activity Opportunities, and Children's Activity Levels at Childcare

This study investigated the association between physical activity facilities at childcare (e.g., play equipment) and physical activity of 2- and 3-year olds. Observations of physical activity intensity were performed among 175 children at 9 childcare centers in The Netherlands, using the OSRAC-P. The physical activity facilities were assessed for indoors and outdoors separately, using the EPAO instrument. Regular (single-level) multivariate and multilevel linear regression analyses examined the association of the facilities and child characteristics (age and sex) with children's activity levels. Various physical activity facilities were available in all childcare centers (e.g., balls). Riding toys and a small playing area were associated with lower indoor physical activity levels. Outdoor physical activity levels were positively associated with the availability of portable jumping equipment and the presence of a structured track on the playground. Portable slides, fixed swinging equipment, and sandboxes were negatively associated with outdoor activity levels. In addition, the 3-year old children were more active outdoors than the 2-year olds. In conclusion, not all physical activity facilities at childcare were indeed positively associated with children's activity levels. The current findings provide concrete leads for childcare providers regarding which factors they can improve in the physical environment to facilitate children's physical activity

Do parenting practices moderate the association between the physical neighbourhood environment and changes in children's time spent at various physical activity levels? An exploratory longitudinal study

BackgroundAs many children do not meet the recommended daily physical activity (PA) levels, more research is needed towards environmental determinants of children's PA levels. The aims of this longitudinal study were to investigate whether the physical environment and parenting practices have an impact on changes in children's weekday time spent at various PA levels and whether associations between physical neighbourhood environment and changes in children's PA are moderated by parenting practices.MethodsWe performed a secondary data analysis of longitudinal data collected at three timepoints (baseline, 6, and 18months) from 10 control schools of the Active Living study, a quasi-experimental study, which took place in South Limburg, the Netherlands. In total, 240 children aged 8-12years were included in the analyses. PA levels were measured using accelerometry (ActiGraph GT3X+). The physical environment was assessed at baseline through neighbourhood audits of the school environment, and PA parenting practices were measured at baseline via validated parental questionnaires. Multivariate multilevel regression analyses were conducted to determine the main effects of the physical environment and parenting practices on changes in children's time spent in sedentary behaviour (SB), light PA and moderate-to-vigorous PA (MVPA) over 18months. Additionally, moderation of the association between the physical environment and children's PA levels by parenting practices was examined by adding interacting terms to the regression equations.ResultsWalkability of the physical environmental was associated with a decrease in SB at 18months (B=-5.45, p<.05). In addition, the parenting practice logistic support was associated with an increase in MVPA (at all time points, B=.68, B=.73 and B=1.02, respectively, all p<.05) and a decrease in SB (at 18months, B=-1.71, p< .05). Stratified analyses (based on significant interaction terms) showed that the effect of specific physical environmental features (e.g., sports facilities) on children's improvements in PA levels were strengthened by favourable parenting practices.DiscussionBesides the main effects of walkability and logistic support, there were indications that several parenting practices moderate the association between the physical environment and changes in children's time in various PA levels. The current findings are exploratory, and need to be confirmed in further research

Longitudinal Perspectives on Children's Physical Activity Patterns: "Do Physical Education-Related Factors Matter?"

Background: This study examined longitudinal associations of motor competence (MC) and physical activity (PA) enjoyment with moderate to vigorous PA and sedentary behavior among boys and girls aged 10-12 years old. In addition, this study explored the predictive strength of satisfaction of basic psychological needs in physical education (PE) and PA enjoyment. Methods: At 3 time points (baseline, +1 y, and +2 y), PA levels, MC, PA enjoyment, satisfaction of basic psychological needs in PE and height and weight of 371 children were measured. Data were analyzed using repeated-measures linear mixed model analyses stratified for gender and adjusted for relevant covariates. Results: Sedentary behavior decreased over time and was significantly predicted by PA enjoyment in boys and by PA enjoyment and MC in girls. Boys' moderate to vigorous PA decreased over time and was predicted by MC, whereas girls' moderate to vigorous PA remained low, yet stable over time and was predicted by PA enjoyment and MC. Furthermore, children's need for competence and teacher relatedness (girls only) during PE significantly predicted PA enjoyment. Conclusions: Children need sufficient and well-designed opportunities to improve their MC and PA enjoyment. PE may be pivotal in advancing PA enjoyment, indicating that PE could have more beneficial effects on PA levels in children, especially in girls

The effect of infrastructural changes in the built environment on physical activity, active transportation and sedentary behavior – A systematic review

This systematic review examined the effect of built environment infrastructural changes (BEICs) on physical activity (PA), active transportation (AT) and sedentary behavior (SB). A literature search resulted in nineteen eligible articles. On- and off-road bicycling and/or walking trails resulted in inconsistent effects on overall PA and walking, and in predominantly positive effects on bicycling. More extensive BEICs led to mixed results, with mainly non-significant effects. However, positive effects on bicycling were found for people living closer to BEICs. None of the studies assessed SB. Improved understanding of the potential of BEICs to increase PA levels and decrease SB at population level asks for more high-quality, in-depth research, that takes into account the broader system

Visualizing changes in physical activity behavioral patterns after redesigning urban infrastructure

The aim of this study was to explore effects of a major urban reconstruction on physical activity (PA) behavior by comparing PA intensity hotspots before and after the tunneling of a highway with a new infrastructure prioritized for walking and cycling. In total, 126 individuals participated before and after the tunneling. GPS loggers and accelerometers were used to assess location and PA levels. A geographic information system (GIS) was used to perform optimized hotspot analyses on PA data, both on transport and stationary data points. The results showed several changes in PA hotspots on trip data, even if total PA levels did not change. At follow-up, PA intensity hotspots were more connected, with the new infrastructure as a central connection. This was true for higher and lower educated individuals. Therefore, if changes in the built environment do not result in changes on population-level outcomes, this does not imply that they have no impact on behavior

Combining Accelerometry and GPS to Assess Neighborhood-Based Physical Activity: Associations With Perceived Neighborhood Walkability

This study explored associations between perceived neighborhood walkability and neighborhood-based physical activity (NB-PA) and assessed possible moderation effects of the amount of time spent in the home neighborhood and individual characteristics (i.e., educational level and health-related problems). In 2016 to 2017, 509 Dutch adults, living in the South Limburg area, were included. Context-specific PA levels were measured using the Actigraph GT3X+ accelerometer and the Qstarz BTQ1000XT GPS-logger. Perceived neighborhood walkability, level of education, work status, and health-related quality of life were measured with validated self-report instruments. Results showed that individuals with a lower level of education or health-related problems spent more time in the home neighborhood. The perceived neighborhood walkability only affected NB-PA for individuals spending a relatively large amount of time in their home neighborhood. PA-facilitating features in the home neighborhood, for example, aesthetics, were only associated with more NB-PA for individuals without health-related problems or with a higher level of education

Combining Accelerometry and GPS to Assess Neighborhood-Based Physical Activity: Associations With Perceived Neighborhood Walkability

This study explored associations between perceived neighborhood walkability and neighborhood-based physical activity (NB-PA) and assessed possible moderation effects of the amount of time spent in the home neighborhood and individual characteristics (i.e., educational level and health-related problems). In 2016 to 2017, 509 Dutch adults, living in the South Limburg area, were included. Context-specific PA levels were measured using the Actigraph GT3X+ accelerometer and the Qstarz BTQ1000XT GPS-logger. Perceived neighborhood walkability, level of education, work status, and health-related quality of life were measured with validated self-report instruments. Results showed that individuals with a lower level of education or health-related problems spent more time in the home neighborhood. The perceived neighborhood walkability only affected NB-PA for individuals spending a relatively large amount of time in their home neighborhood. PA-facilitating features in the home neighborhood, for example, aesthetics, were only associated with more NB-PA for individuals without health-related problems or with a higher level of education

The effect of infrastructural changes in the built environment on physical activity, active transportation and sedentary behavior – A systematic review

This systematic review examined the effect of built environment infrastructural changes (BEICs) on physical activity (PA), active transportation (AT) and sedentary behavior (SB). A literature search resulted in nineteen eligible articles. On- and off-road bicycling and/or walking trails resulted in inconsistent effects on overall PA and walking, and in predominantly positive effects on bicycling. More extensive BEICs led to mixed results, with mainly non-significant effects. However, positive effects on bicycling were found for people living closer to BEICs. None of the studies assessed SB. Improved understanding of the potential of BEICs to increase PA levels and decrease SB at population level asks for more high-quality, in-depth research, that takes into account the broader system

Applying an ecosystem approach to explore modifiable factors related to the risk for low motor competence in young children

Objectives: Early childhood is a crucial phase for motor development in which differences between children can manifest. These differences might be related to factors in ecosystems in which children are raised, of which little is currently known. The current study’s purpose was to explore which modifiable factors in children’s ecosystems are associated with the odds for low versus higher motor competence (MC) in 4- to 6-year-old children. Design: A cross-sectional study design was conducted to investigate which modifiable social and physical factors in the home environment and direct living environment were associated with differences in MC. Methods: Children’s MC was measured through the Athletic Skills Track in 612 4- to 6-year-olds, from 10 primary schools in Eindhoven, the Netherlands. Parenting practices, characteristics of the home environment, and perceptions of the direct living environment were assessed through parental questionnaires. Hierarchical logistic regression analyses were conducted to evaluate factors associated with low MC in children. Results: The presence of a garden at home and higher perceived sports facilities in the direct living environment decreased the likelihood of children being classified as low MC. Moreover, stronger parental active transportation routines and more discouraging physical activity parenting practices resulted in lower odds of low MC. In addition, girls were more at risk for low MC. Conclusions: Characteristics of the social and physical home environment and direct living environment were associated with MC disparities during early childhood. Both parenting practices and parental physical activity-involved behaviours are relevant modifiable factors related to differences in children’s MC