Community Design and Access to Recreational Facilities as Correlates of Adolescent Physical Activity and Body-Mass Index

Norman, Gregory J.; Nutter, Sandra K.; Ryan, Sherry; Sallis, James F.; Calfas, Karen J.; Patrick, Kevin

doi:10.1123/jpah.3.s1.s118

Cited by 267 publications

(226 citation statements)

References 28 publications

(18 reference statements)

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“…Studies conducted in the USA and Australia [14][15][16] are inconclusive with regard to the association between adolescents' physical activity and residential density. Our findings suggest there may be a negative association between population density and recreational physical activity for adolescents, in a rapidly expanding urban area of China.…”

Section: Discussionmentioning

confidence: 99%

“…15 Another study in the USA reported that no link between residential density and accelerometer-measured physical activity among 11-15 year olds. 16 Although the quantity of relevant literature is modest, these differing associations for two Western countries suggest associations between residential density and physical activity may vary in different contexts, reinforcing the need to understand how aspects of urban form are associated with adolescents' recreational physical activity in the rapidly urbanizing context of Mainland China.…”

Section: Introductionmentioning

confidence: 99%

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Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

Liang

et al. 2009

J Urban Health

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In the context of recent social and economic transitions in China, lack of physical activity among adolescents is an emerging health risk, particularly so in rapidly expanding urban areas. Evidence from Western countries suggests that built environment attributes can influence the physical activity participation of young people, but whether or not this is the case for China is unknown. We recruited high school students from ten urban districts in Nanjing, Mainland China (n=2,375; mean age=13.9± 1.0 years old; 46% boys; survey response rate=89%). The outcome variable was selfreported recreational physical activity time; the primary explanatory variable was the residential density of the urban districts. Analysis was conducted using mixed-effects logistic regression models. After adjustment for potential confounding variables, including sedentary behavior and green space, there was a consistent and graduated association between residential density and physical activity; residential density was significantly negatively associated with recreational physical activity time for students from the higher tertile of residential density (OR; 95% CI=0.64; 0.42 to 0.97) compared to those from the lower tertile. The direction and magnitude of the negative association between residential density and physical activity was similar for boys and girls. It should be a public health priority to identify the particular urban environment attributes that can encourage and support young people's participation in physical activity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

Liang

et al. 2009

J Urban Health

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“…Third, most studies examined subcomponents of physical activity, such as transportation or recreation activities, but the contribution of built environments to total physical activity, that should be most strongly related to health outcomes, has seldom been reported. [11][12][13] Finally, because studies have been conducted within single countries, limited environmental variability may lead to underestimation of true associations with physical activity. Underestimated associations could reduce the apparent relevance of built environment changes as physical activity promotion strategies.…”

Section: Introductionmentioning

confidence: 99%

Neighborhood Environments and Physical Activity Among Adults in 11 Countries

Sallis

Bowles

Bauman

et al. 2009

American Journal of Preventive Medicine

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415

365

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“…Some of these studies have quantified access to facilities in terms of respondents_ self-reported perceptions [1][2][3] while others have calculated objective measures [4][5][6] like the number of facilities within a defined radius or the distance to the nearest facility using geographic information systems (GIS). What is not understood is whether there is a close relationship between the number and proximity of objectively measured neighborhood physical activity facilities and youths_ perceptions of access to these resources.…”

Section: Introductionmentioning

confidence: 99%

Comparing Perceived and Objectively Measured Access to Recreational Facilities as Predictors of Physical Activity in Adolescent Girls

et al. 2007

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A number of studies in recent years have identified both self-report and objectively measured accessibility of recreational facilities as important predictors of physical activity in youth. Yet, few studies have: (1) examined the relationship between the number and proximity of objectively measured neighborhood physical activity facilities and respondents_ perceptions and (2) compared objective and self-report measures as predictors of physical activity. This study uses data on 1,367 6th-grade girls who participated in the Trial of Activity for Adolescent Girls (TAAG) to explore these issues. Girls reported whether nine different types of recreational facilities were easily accessible. These facilities included basketball courts, golf courses, martial arts studios, playing fields, tracks, skating rinks, swimming pools, tennis courts, and dance/ gymnastic clubs. Next, geographic information systems (GIS) were used to identify all the parks, schools, and commercial sites for physical activity located within a mile of each girl_s home. These sites were then visited to inventory the types of facilities available. Girls wore accelerometers to measure their weekly minutes of non-school metabolic equivalent weighted moderate-to-vigorous physical activity (MW-MVPA). The number of facilities within a half-mile of girls_ homes strongly predicted the perception of easy access to seven out of nine facility types. Both individual facility perceptions and the total number of facilities perceived were associated with increased physical activity. For each additional facility perceived, girls clocked 3% more metabolic equivalent weighted moderate-to-vigorous physical activity (pG0.001). Although girls tended to record 3% more of this kind of physical activity (pG0.05) per basketball court within a mile of their homes, objective facility measures were otherwise unrelated to physical activity. The results from this study suggest that raising the profile of existing facilities may help increase physical activity among adolescent girls.

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Community Design and Access to Recreational Facilities as Correlates of Adolescent Physical Activity and Body-Mass Index

Abstract: There was limited evidence that both community design and access to recreation facilities variables were associated with adolescent physical activity, but additional built environment variables need to be studied that have particular relevance for youth.

Cited by 267 publications

References 28 publications

Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

Associations of Residential Density with Adolescents’ Physical Activity in a Rapidly Urbanizing Area of Mainland China

Neighborhood Environments and Physical Activity Among Adults in 11 Countries

Comparing Perceived and Objectively Measured Access to Recreational Facilities as Predictors of Physical Activity in Adolescent Girls

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