Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?

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• 作者：Takemi Sugiyama ; Natasha J. Howard ; Catherine Paquet…
• 关键词：Physical activity ; Neighborhood environment ; Walkability ; Inequality ; Effect modification
• 刊名：Journal of Urban Health
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：92
• 期：2
• 页码：253-264
• 全文大小：160 KB
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• 作者单位：Takemi Sugiyama (1)
  Natasha J. Howard (1)
  Catherine Paquet (1) (2)
  Neil T. Coffee (1)
  Anne W. Taylor (3)
  Mark Daniel (1) (4) (5)
  
  1. Spatial Epidemiology and Evaluation Research Group, Sansom Institute for Health Research & School of Population Health, University of South Australia, Adelaide, SA, 5001, Australia
  2. Research Centre of the Douglas Mental Health University Institute, Verdun, Canada
  3. Discipline of Medicine, The University of Adelaide, Adelaide, Australia
  4. Department of Medicine, St. Vincent’s Hospital, The University of Melbourne, Melbourne, Australia
  5. South Australian Health & Medical Research Institute, Adelaide, Australia
  
• 刊物主题：Public Health; Health Informatics; Epidemiology;
• 出版者：Springer US
• ISSN：1468-2869

文摘

Residents of areas with lower socioeconomic status (SES) are known to be less physically active during leisure time. Neighborhood walkability has been shown to be related to recreational walking equally in low and high SES areas. This cross-sectional study tested whether associations of specific environmental attributes, measured objectively and subjectively, with walking for recreation were moderated by area-level SES. The data of the North West Adelaide Health Study collected in 2007 (n--500, mean age 57) were used. Self-reported walking frequency was the outcome of the study. Environmental exposure measures included objectively measured walkability components (residential density, intersection density, land use mix, and net retail area ratio) and perceived attributes (access to destinations, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety). Participants-suburbs were categorized into low and high SES areas using an indicator of socioeconomic disadvantage. Low SES areas had lower scores in residential density, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety. Recreational walking was associated with residential density, access to destinations, esthetics, traffic/barriers, and crime safety. Effect modification was observed for two attributes (out of nine): residential density was associated with walking only in low SES areas, while walking infrastructure was associated with walking only in high SES areas. The associations of neighborhood environmental attributes with recreational walking were largely consistent across SES groups. However, low SES areas were disadvantaged in most perceived environmental attributes related to recreational walking. Improving such attributes in low SES neighborhoods may help close socioeconomic disparities in leisure time physical activity.