2012
DOI: 10.5507/ag.2012.023
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Neighborhood environment and walking for transport and recreation in Central European older adults

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Cited by 19 publications
(15 citation statements)
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“…This shape of relationship implies that data collected in low-to-mid density (e.g., <15,000 dwellings km 2 [ 71 ]) areas may show a positive association between residential density and walking for transport, while studies conducted in high density areas (e.g., >15,000 [ 71 ] or >30,000 [ 58 ]) may yield nil or negative associations. In this review, we found this to be the case for studies based in the USA [ 22 ], Australia [ 97 ], eastern European countries [ 95 ], Belgium (low-to-medium density areas) [ 25 ], and Japan [ 35 ] and Hong Kong [ 58 ] (high density areas). To resolve discrepant findings potentially due to restricted variability in exposures and the presence of non-linear dose-repose relationships, pooled analyses of comparable data from geographical locations varying in exposure are necessary.…”
Section: Discussionmentioning
confidence: 86%
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“…This shape of relationship implies that data collected in low-to-mid density (e.g., <15,000 dwellings km 2 [ 71 ]) areas may show a positive association between residential density and walking for transport, while studies conducted in high density areas (e.g., >15,000 [ 71 ] or >30,000 [ 58 ]) may yield nil or negative associations. In this review, we found this to be the case for studies based in the USA [ 22 ], Australia [ 97 ], eastern European countries [ 95 ], Belgium (low-to-medium density areas) [ 25 ], and Japan [ 35 ] and Hong Kong [ 58 ] (high density areas). To resolve discrepant findings potentially due to restricted variability in exposures and the presence of non-linear dose-repose relationships, pooled analyses of comparable data from geographical locations varying in exposure are necessary.…”
Section: Discussionmentioning
confidence: 86%
“…In fact, not much is known about the optimal mix and number of destination types that might promote AT in this age group. Also, objective measures of destination availability are typically obtained for whole administrative areas [ 88 91 ] or home-centred buffers of various sizes [ 33 , 92 , 93 ], while self-report measures usually define a neighbourhood as an area within 10–20 min walk from a participant’s home [ 58 , 94 , 95 ]. Given that there is large inter-individual variability in functional mobility and walking speed among older adults [ 96 ], defining a neighbourhood using time as a parameter (as in self-report measures) may be more appropriate for this age group than defining it in terms of distance (as in objective measures of the environment).…”
Section: Discussionmentioning
confidence: 99%
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“…The built environment was assessed by NEWS, a low-cost, easy-to-apply and understand instrument used worldwide [32][33][34][35][36] and validated for Brazil 21 . The Geographic Information System (GIS) was also used to evaluate the built environment.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, not much is known about the optimal mix and number of destination types that might promote AT in this age group. Also, objective measures of destination availability are typically obtained for whole administrative areas [88][89][90][91] or home-centred buffers of various sizes [33,92,93], while self-report measures usually define a neighbourhood as an area within 10-20 min walk from a participant's home [58,94,95]. Given that there is large inter-individual variability in functional mobility and walking speed among older adults [96], defining a neighbourhood using time as a parameter (as in self-report measures) may be more appropriate for this age group than defining it in terms of distance (as in objective measures of the environment).…”
Section: Theoretical and Methodological Considerationsmentioning
confidence: 99%