Billie Giles-Corti

The relative influence of individual, social and physical environment determinants of physical activity

Environmental determinants of health are receiving growing attention in the literature, although there is little empirical research in this area. The Study on Environmental and Individual Determinants of Physical Activity (known as the SEID project) was a social ecological project that examined the relative influence of individual, social environmental and physical environmental determinants of recreational physical activity. It involved a community survey of 1803 healthy workers and home-makers aged 18-59 years living in a 408 km2 area of metropolitan Perth, Western Australia. Physical environmental determinants were mainly conceptualised as spatial access to popular recreational facilities. Overall, 59% of respondents exercised as recommended. Recreational facilities located near home were used by more respondents than facilities located elsewhere. The most frequently used facilities were informal: the streets (45.6%); public open space (28.8%) and the beach (22.7%). The physical environments directs the influence on exercising as recommended was found to be secondary to individual and social environmental determinants. Nevertheless, accessible facilities determined whether or not they were used and in this way, support and enhance the achievement of recommended levels of physical activity behaviour by providing opportunities. The results suggest that access to a supportive physical environment is necessary, but may be insufficient to increase recommended levels of physical activity in the community. Complementary strategies are required that aim to influence individual and social environmental factors. Given the popularity of walking in the community, it is recommended that greater emphasis be placed on creating streetscapes that enhance walking for recreation and transport.

Understanding physical activity environmental correlates : increased specificity for ecological models

Ecological models are now used to understand the complex array of factors that influence physical activity, resulting in a greater emphasis on environmental correlates. This selective review examines whether the predictive capacity of these models could be improved if behavior-specific measures of the environment were used to predict context-specific behaviors.

Relative Influences of Individual, Social Environmental, and Physical Environmental Correlates of Walking

OBJECTIVES This study sought to examine individual, social environmental, and physical environmental correlates of walking. METHODS A cross-sectional survey was conducted among healthy workers and homemakers residing in metropolitan Perth, Western Australia. RESULTS Most respondents walked for transport or recreation, but only 17.2% did a sufficient amount of walking to accrue health benefits. After adjustment, the relative influences of individual, social environmental, and physical environmental factors were found to be almost equally important. CONCLUSIONS Although walking is popular, few people do enough walking to benefit their health. Those who walk as well as engage in other physical activities appear more likely to achieve recommended levels of activity. Promoting walking may require a comprehensive strategy.

Developing a framework for assessment of the environmental determinants of walking and cycling

The focus for interventions and research on physical activity has moved away from vigorous activity to moderate-intensity activities, such as walking. In addition, a social ecological approach to physical activity research and practice is recommended. This approach considers the influence of the environment and policies on physical activity. Although there is limited empirical published evidence related to the features of the physical environment that influence physical activity, urban planning and transport agencies have developed policies and strategies that have the potential to influence whether people walk or cycle in their neighbourhood. This paper presents the development of a framework of the potential environmental influences on walking and cycling based on published evidence and policy literature, interviews with experts and a Delphi study. The framework includes four features: functional, safety, aesthetic and destination; as well as the hypothesised factors that contribute to each of these features of the environment. In addition, the Delphi experts determined the perceived relative importance of these factors. Based on these factors, a data collection tool will be developed and the frameworks will be tested through the collection of environmental information on neighbourhoods, where data on the walking and cycling patterns have been collected previously. Identifying the environmental factors that influence walking and cycling will allow the inclusion of a public health perspective as well as those of urban planning and transport in the design of built environments.

The ABC of Physical Activity for Health: A consensus statement from the British Association of Sport and Exercise Sciences

Absract Our understanding of the relationship between physical activity and health is constantly evolving. Therefore, the British Association of Sport and Exercise Sciences convened a panel of experts to review the literature and produce guidelines that health professionals might use. In the ABC of Physical Activity for Health, A is for All healthy adults, B is for Beginners, and C is for Conditioned individuals. All healthy adults aged 18–65 years should aim to take part in at least 150 min of moderate-intensity aerobic activity each week, or at least 75 min of vigorous-intensity aerobic activity per week, or equivalent combinations of moderate- and vigorous-intensity activities. Moderate-intensity activities are those in which heart rate and breathing are raised, but it is possible to speak comfortably. Vigorous-intensity activities are those in which heart rate is higher, breathing is heavier, and conversation is harder. Aerobic activities should be undertaken in bouts of at least 10 min and, ideally, should be performed on five or more days a week. All healthy adults should also perform muscle-strengthening activities on two or more days a week. Weight training, circuit classes, yoga, and other muscle-strengthening activities offer additional health benefits and may help older adults to maintain physical independence. Beginners should work steadily towards meeting the physical activity levels recommended for all healthy adults. Even small increases in activity will bring some health benefits in the early stages and it is important to set achievable goals that provide success, build confidence, and increase motivation. For example, a beginner might be asked to walk an extra 10 min every other day for several weeks to slowly reach the recommended levels of activity for all healthy adults. It is also critical that beginners find activities they enjoy and gain support in becoming more active from family and friends. Conditioned individuals who have met the physical activity levels recommended for all healthy adults for at least 6 months may obtain additional health benefits by engaging in 300 min or more of moderate-intensity aerobic activity per week, or 150 min or more of vigorous-intensity aerobic activity each week, or equivalent combinations of moderate- and vigorous-intensity aerobic activities. Adults who find it difficult to maintain a normal weight and adults with increased risk of cardiovascular disease or type 2 diabetes may in particular benefit from going beyond the levels of activity recommended for all healthy adults and gradually progressing towards meeting the recommendations for conditioned individuals. Physical activity is beneficial to health with or without weight loss, but adults who find it difficult to maintain a normal weight should probably be encouraged to reduce energy intake and minimize time spent in sedentary behaviours to prevent further weight gain. Children and young people aged 5–16 years should accumulate at least 60 min of moderate-to-vigorous-intensity aerobic activity per day, including vigorous-intensity aerobic activities that improve bone density and muscle strength.

The built environment, neighborhood crime and constrained physical activity: An exploration of inconsistent findings

OBJECTIVES Personal safety is commonly cited in qualitative research as a barrier to local walking, yet the relationship between safety and constrained physical activity has received mixed support in quantitative studies. This paper reviews the quantitative evidence to date, seeking to explain the inconsistencies, and offers recommendations for future research. METHODS A social-ecological framework was adopted to explore the evidence linking crime-related safety, and factors that influence real and perceived safety, with constrained physical activity. RESULTS Perceived safety tends to affect the physical activity of groups already known to exhibit greater anxiety about crime; and some elements of the built environment that influence safety appear to constrain physical activity. However the evidence is somewhat inconsistent, and this may be partly attributed to measurement limitations. Many studies employ generic safety measures that make implicit references to crime or use composite variables that lack specificity. Physical activity outcomes also require consideration, as only activities occurring locally outdoors are likely to be affected by neighborhood crime. CONCLUSIONS Further research is required to tease out associations between real and perceived crime-related safety and physical activity, ideally employing behaviour and crime-specific measures, and addressing the moderating role of the social and built environments.

Associations of neighbourhood greenness with physical and mental health: do walking, social coherence and local social interaction explain the relationships?

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.

An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours.

The physical environment has the potential to influence the physical behaviours of large numbers of people; hence creating supportive environments has the potential to increase physical activity (PA). During the last decade, there has been growing interest in how the physical environment shapes PA behaviour. This area of research is important given that levels of PA participation are declining globally. Literature was reviewed that examined the association between physical environmental attributes and PA behaviours. The environmental attributes were grouped into four categories based on a conceptual framework of environmental factors that might influence PA and included functionality, safety, aesthetics and destinations. Positive associations were found between both perceived and objectively measured environmental factors and PA behaviour. The availability, accessibility and convenience of destinations and facilities, as well as the general functionality of the neighbourhood (eg, the presence of sidewalks, traffic conditions) and aesthetics were positively associated with various levels of PA. The review highlights the need for future studies: to examine behaviour-specific environmental attributes, to collect objectively-measured environmental data and to include both objective and perceived environmental data in the same studies, and to adopt prospective study designs to allow causal relationships to be established.

Environmental and lifestyle factors associated with overweight and obesity in Perth, Australia

Purpose. To examine associations between environmental and lifestyle factors and overweight or obesity. Design. A cross-sectional survey and an environmental scan of recreational facilities. Setting. Metropolitan Perth, Western Australia. Subjects. Healthy sedentary workers and homemakers aged 18 to 59 years (n = 1803) living in areas within the top and bottom quintiles of social disadvantage. Measures. Four lifestyle factors, one social environmental factor, and five physical environment factors (three objectively measured). Results. After adjustment for demographic factors and other variables in the model, overweight was associated with living on a highway (odds ratio [OR], 4.24; 95% confidence interval [CI], 1.62–11.09) or streets with no sidewalks or sidewalks on one side only (OR, 1.35; 95% CI, 1.03–1.78) and perceiving no paths within walking distance (OR, 1.42; 95% CI, 1.08–1.86). Poor access to four or more recreational facilities (OR, 1.68; 95% CI, 1.11–2.55) and sidewalks (OR, 1.62; 95% CI, .98–2.68) and perceiving no shop within walking distance (OR, 1.84; 95% CI, 1.01–3.36) were associated with obesity. Conversely, access to a motor vehicle all the time was negatively associated with obesity (OR, .56; 95% CI, .32–.99). Watching 3 or more hours of television daily (ORs, 1.92 and 1.85, respectively) and rating oneself as less active than others (ORs, 1.66 and 4.05, respectively) were associated with both overweight and obesity. After adjustment for individual demographic factors and all other variables in the model, socioeconomic status of area of residence and leisure-time physical activity were not associated with overweight or obesity. Conclusion. Factors that influence overweight and obesity appear to differ, but aspects of the physical environment may be important. Objectively measured neighborhood environment factors warrant further investigation.

Personal, social and environmental determinants of educational inequalities in walking: a multilevel study

Objective: To investigate the contribution of personal, social and environmental factors to mediating socioeconomic (educational) inequalities in women’s leisure-time walking and walking for transport. Methods: A community sample of 1282 women provided survey data on walking for leisure and transport; educational level; enjoyment of, and self-efficacy for, walking; physical activity barriers and intentions; social support for physical activity; sporting/recreational club membership; dog ownership; and perceived environmental aesthetics and safety. These data were linked with objective environmental data on the density of public open space and walking tracks in the women’s local neighbourhood, coastal proximity and street connectivity. Results: Multilevel modelling showed that different personal, social and environmental factors were associated with walking for leisure and walking for transport. Variables from all three domains explained (mediated) educational inequalities in leisure-time walking, including neighbourhood walking tracks; coastal proximity; friends’ social support; dog ownership; self-efficacy, enjoyment and intentions. On the other hand, few of the variables examined explained educational variations in walking for transport, exceptions being neighbourhood, coastal proximity, street connectivity and social support from family. Conclusions: Public health initiatives aimed at promoting, and reducing educational inequalities in, leisure-time walking should incorporate a focus on environmental strategies, such as advocating for neighbourhood walking tracks, as well as personal and social factors. Further investigation is required to better understand the pathways by which education might influence walking for transport.