187 resultados para Leslie


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Physical attributes of local environments may influence walking. We used a modified version of the Neighbourhood Environment Walkability Scale to compare residents’ perceptions of the attributes of two neighbourhoods that differed on measures derived from Geographic Information System databases. Residents of the high-walkable neighbourhood rated relevant attributes of residential density, land-use mix (access and diversity) and street connectivity, consistently higher than did residents of the low-walkable neighbourhood. Traffic safety and safety from crime attributes did not differ. Perceived neighbourhood environment characteristics had moderate to high test–retest reliabilities. Neighbourhood environment attribute ratings may be used in population surveys and other studies.

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Participation in physical activity is associated with significant benefits to health. We provide an overview of research relevant to understanding and influencing health-enhancing physical activity in adults. We describe a behavioural epidemiology framework that is designed to integrate the range of studies in the field; give brief examples of studies on the relationships between physical activity and health outcomes; and, we consider descriptive studies of adult populations on levels of participation. We describe research findings on the correlates of physical activity participation; describe ecological models of health behaviour that may be used in understanding and influencing physical activity; and, we review research findings on how environmental attributes can influence adults’ physical activity, particularly walking. There is considerable potential to use evidence-based approaches to increase the physical activity levels of whole populations, particularly through a focus on developing the attributes of community environments that can promote walking.

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Researchers are working to identify and promote environment and policy initiatives to encourage more active and healthy communities. Measuring environmental attributes through objective means can verify which physical environment factors are most important. We describe how Geographic Information Systems (GIS) may be used to measure objectively, the features of the built environment that may influence walking. We show how four key attributes currently believed to be of most relevance to walking for transport may be used to create a ‘walkability’ index. These are dwelling density (higher-density neighbourhoods support greater retail and service variety, resulting in shorter, walkable distances between facilities; driving and parking are more difficult); street connectivity (higher intersection density provides people with a greater choice of potential routes, easier access to major roads where public transport is available and shorter times to get to destinations); land use mix (the more varied the land use mix and built form, the more conducive it is to walk to various destinations); and net retail area (people who live near multiple and diverse retail opportunities are able to make more frequent and shorter shopping trips by walking and can walk to more local employment opportunities). The potential relationships between each of the objective environmental-attribute measures and walking behaviours is discussed, together with suggestions as to how such measures might be used to guide community infrastructure planning. GIS mapping can assist decision makers in where to focus transportation investments and where to guide future growth. Readily accessible GIS data can be used to guide and support urban planning and infrastructure investment decisions in both the private and public sectors, to increase walking in communities.

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Objective: To examine socio-demographic and psychosocial moderators, and self-efficacy as a mediator of the cross-sectional relationships between having access to recreational facilities and leisure-time physical activity (LTPA); to investigate the extent to which the environment-LTPA associations could be explained by self-selection to neighborhoods.

Design: A two-stage stratified sampling design was used to recruit 2,650 adults (aged 20-65) from 32 urban communities varying in walkability and socioeconomic status. Participants reported perceived access to facilities and home equipment for LTPA, weekly minutes of LTPA, self-efficacy for and enjoyment of LTPA, reasons for neighborhood selection, and socio-demographic characteristics.

Main Outcome Measures:
Self-reported recreational walking and other forms of moderate-to-vigorous LTPA expressed in MET-minutes.

Results: Specific types of recreational facilities were independently  associated with LTPA. Age, education, being overweight/ obese, reasons for neighborhood selection, enjoyment of, and self-efficacy for LTPA moderated these relationships. Self-efficacy was not a significant mediator of these cross-sectional associations.

Conclusion:
These findings have potentially significant implications for the planning of environmental interventions aimed at increasing population-level LTPA particularly in those who are less attitudinally inclined to being physically active.

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Judgments concerning features of environments do not always correspond accurately with objective measures of those same features. Moreover, perceived and objectively assessed environmental attributes, including proximity of destinations, may influence walking behavior in different ways. This study compares perceived and objectively assessed distance to several different destinations and examines whether correspondence between objective and perceived distance is influenced by age, gender, neighborhood walkability, and walking behavior. Distances to most destinations close to home are overestimated, whereas distances to those farther away are underestimated. Perceived and objective distances to certain types of destinations are differentially associated with walking behavior. Perceived environmental attributes do not consistently reflect objectively assessed attributes, and both appear to have differential effects on physical activity behavior.

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Background: No studies have yet examined the associations of physical environmental attributes specifically with walking in adults with type 2 diabetes.

Purpose: The purpose of this study was to examine associations of perceived community physical environmental attributes with walking for transport and for recreation among adults living with type 2 diabetes.

Methods: Participants were 771 adults with type 2 diabetes who completed a self-administered survey on perceived community physical environmental attributes and walking behaviors.

Results
: Based on a criterion of a minimum of 120-min/week, some 29% were sufficiently active through walking for transport and 33% through walking for recreation. Significantly higher proportions of those actively walking for transport and for recreation had shops or places to buy things close by (67.8% and 60.9%); lived within a 15-min walk to a transit stop (70.6% and 71.0%); did not have dead-end streets close by (77.7% and 79.8%); reported interesting things to look at (84.8% and 84.4%); and lived close to low-cost recreation facilities (81.3% and 78.8%). In addition, those actively walking for transport reported living in a community with intersections close to each other (75.6%) and with sidewalks on their streets (88.1%). When these variables were entered simultaneously into logistic regression models, living close by to shops was positively related to walking for transport (OR= 1.92, 99% CI=1.11–3.32).

Conclusions: Consistent with findings from studies of healthy adult populations, positive perceptions of community environmental attributes are associated with walking for transport among adults with type 2 diabetes. The now-strong public health case for environmental innovations to promote more walking for transport is further reinforced by the potential to benefit those living with diabetes.

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Background: Studies have shown associations between health indices and access to “green” environments but the underlying mechanisms of this association are not clear.

Objectives: To examine associations of perceived neighbourhood “greenness” with perceived physical and mental health and to investigate whether walking and social factors account for the relationships.

Methods: A mailed survey collected the following data from adults (n  =  1895) in Adelaide, Australia: physical and mental health scores (12-item short-form health survey); perceived neighbourhood greenness; walking for recreation and for transport; social coherence; local social interaction and sociodemographic variables.

Results: After adjusting for sociodemographic variables, those who perceived their neighbourhood as highly green had 1.37 and 1.60 times higher odds of better physical and mental health, respectively, compared with those who perceived the lowest greenness. Perceived greenness was also correlated with recreational walking and social factors. When walking for recreation and social factors were added to the regression models, recreational walking was a significant predictor of physical health; however, the association between greenness and physical health became non-significant. Recreational walking and social coherence were associated with mental health and the relationship between greenness and mental health remained significant.

Conclusions: Perceived neighbourhood greenness was more strongly associated with mental health than it was with physical health. Recreational walking seemed to explain the link between greenness and physical health, whereas the relationship between greenness and mental health was only partly accounted for by recreational walking and social coherence. The restorative effects of natural environments may be involved in the residual association of this latter relationship.

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This study examined validity evidence for the Australian version of the Neighborhood Environment Walkability Scale (NEWS-AU). A stratified two-stage cluster sampling design was used to recruit 2,650 adults from Adelaide (Australia). The sample was drawn from residential addresses within eight high-walkable and eight low-walkable suburbs matched for socio-economic status (SES). Neighborhood walkability was measured using Geographic Information Systems data on dwelling density, intersection density, net retail area, and land-use mix. Participants completed the NEWS-AU and reported weekly minutes of walking for transport and recreation (International Physical Activity Questionnaire [IPAQ]). Multilevel confirmatory factor analysis (MCFA) was used to define the individual- and Census Collection District (CCD)-level measurement model of the NEWS-AU. Seven individual-level and five CCD-level factors were identified. These measurement models were somewhat similar to those of the original Neighborhood Environment Walkability Scale (NEWS). Patterns of associations between the NEWS-AU factors/scales and the walking measures provided some validity evidence for the instrument.