Elsevier

Health & Place

Volume 16, Issue 6, November 2010, Pages 1280-1286
Health & Place

Short Report
What neighborhood area captures built environment features related to adolescent physical activity?

https://doi.org/10.1016/j.healthplace.2010.06.015Get rights and content

Abstract

In research investigating built environment (BE) influences on physical activity (PA), inconsistent neighborhood definitions may contribute to inconsistent findings. Using data from the National Longitudinal Study of Adolescent Health (Wave I; 1994–95), we compared associations between moderate-vigorous PA (MVPA) and PA facility counts and street connectivity measures (intersection density and link:node ratio) within 1, 3, 5, and 8.05 km of each respondent’s residence (Euclidean neighborhood buffers). BE-MVPA associations varied by BE characteristic, urbanicity, and sex. PA facilities within 3 km buffers and intersection density within 1 km buffers exhibited the most consistent associations with MVPA. Policy recommendations and corresponding research should address potential differences in relevant neighborhood areas across environment feature and population subgroup.

Introduction

Despite some evidence that built environment (BE) features (e.g., recreation facilities, street connectivity) may promote physical activity (PA), associations vary dramatically across studies (Saelens and Handy, 2008, Wendel-Vos et al., 2007). Inconsistent study findings could result, in part, from variation in neighborhood definitions, which may capture neighborhood features relevant to PA to varying degrees, depending on the type of BE feature and population subgroup (Colabianchi et al., 2007, Diez Roux, 2007, Soobader et al., 2006).

Findings from the few empirical comparisons of objectively defined neighborhoods are mixed, showing dramatic (Zhang and Kukadia, 2005) or inconsequential (Lovasi et al., 2008, Berke et al., 2007, Diez Roux et al., 2007, Forsyth et al., 2008) differences in associations according to neighborhood size. However, these studies focus on adult, generally metropolitan samples and lack the size and diversity needed to evaluate subgroup differences.

Our objective was to determine the most salient circular neighborhood area for capturing BE features (PA facilities and street connectivity) most strongly associated with moderate-vigorous PA (MVPA) in a nationally representative sample of adolescents. We considered areas within 1, 3, 5, and 8.05 km (km) of each respondents’ home (Euclidian neighborhood buffers) using a unique database, which provided exceptional geographic variability.

Section snippets

Study population and data sources

We used Wave I data (n=20,745; 11–22 years of age) from The National Longitudinal Study of Adolescent Health (Add Health), a prospective cohort study of adolescents representative of the U.S. school-based population in grades 7–12 in 1994–95. The survey design and sampling frame have been discussed elsewhere (Resnick et al., 1997).

Using complex geographic information system (GIS) techniques, we linked time-varying, community-level data to Add Health respondent residential locations determined

Results

In general, we observed dramatic differences in most environmental characteristics among urbanicity levels (Table 1). Individual-level characteristics by sex and urbanicity are presented in the Appendix (Table A2).

The association between MVPA and facility count varied by buffer size and urbanicity (Table 2). The strongest associations were generally observed for 1–5 km buffers, most consistently for the 3 km buffer. Associations were strongest in the non- and low-urban strata and were similar by

Discussion

In our large, national sample of U.S. adolescents, we found particular relevance for PA facilities within a 3 km buffer and street connectivity within a 1 km buffer. Our joint model suggests that MVPA is independently associated with intersection density and, in low-urban adolescents, resource count. Our findings are consistent with prior work (Zhang and Kukadia, 2005) suggesting that behavior is influenced by different features within different neighborhood areas. That is, the relevant

Conclusion and implications

In our cross-sectional study, higher MVPA was generally associated with resource counts and intersection density within 1–5 and 1 km of respondents’ homes, respectively. These findings suggest that recommendations should specify the relevant scale and setting. For example, guidelines for minimum intersection density based on research within a 1 km buffer in high-urban areas applied to larger scales or in suburban areas may not be valid. Until consensus on the most relevant scale is reached,

Acknowledgments

The authors would like to thank Brian Frizzelle, Marc Peterson, Chris Mankoff, James D. Stewart, Phil Bardsley, and Diane Kaczor of the University of North Carolina, Carolina Population Center (CPC) and the CPC Spatial Analysis Unit for creation of the environmental variables and Jillian H Jefferson for her assistance with our literature review of existing buffer measures. The authors also thank Ms. Frances Dancy for her helpful administrative assistance. There were no potential or real

References (33)

  • S.E. Spielman et al.

    The spatial dimensions of neighborhood effects

    Soc. Sci. Med.

    (2009)
  • R. Vilhjalmsson et al.

    Gender differences in physical activity in older children and adolescents: the central role of organized sport

    Soc. Sci. Med.

    (2003)
  • E.M. Berke et al.

    Association of the built environment with physical activity and obesity in older persons

    Am. J. Public Health

    (2007)
  • Boone-Heinonen, J., Evenson, K.R., Song, Y., Gordon-Larsen, P., 2010a. Built and socioeconomic environments: patterning...
  • Boone-Heinonen, J., Gordon-Larsen, P., Guilkey, D., Jacobs, D.R., Popkin, B.M., 2010b Environment and physical activity...
  • P. Clarke

    When can group level clustering be ignored? Multilevel models versus single-level models with sparse data

    J. Epidemiol. Commun. Health

    (2008)
  • Cited by (0)

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