The association between objectively measured neighbourhood features and walking for transport in mid-aged adults


Autoria(s): Wilson, Lee-Ann M.; Giles-Corti, Billie; Turrell, Gavin
Data(s)

01/02/2012

Resumo

The aim of this paper is to examine the association between a range of objectively measured neighbourhood features and the likelihood of mid-aged adults walking for transport. Increased walking for transport would bring multiple benefits, including improved population and environmental health. As part of the baseline HABITAT study, 10,745 residents of Brisbane, Australia, aged 40–65 years, from 200 neighbourhoods were asked about the time they spent walking for transport. Walking data were collected by mail survey and the physical environmental features of neighbourhoods were compiled using a geographic information systems database. Walking for transport was categorised into four levels and the association between walking and each neighbourhood characteristic was examined using multilevel multinomial models. A number of threshold trends were evident; for example, off-road bikeways were consistently associated with walking between 60 and 150 min per week. Living within 500 m of public transit was also an important predictor but only for those who walked for less than 150 min per week. Interventions targeting these neighbourhood characteristics may lead to improved environmental quality, lower rates of overweight and obesity and associated chromic disease.

Identificador

http://eprints.qut.edu.au/57900/

Publicador

Taylor & Francis Group

Relação

DOI:10.1080/13549839.2011.646965

Wilson, Lee-Ann M., Giles-Corti, Billie, & Turrell, Gavin (2012) The association between objectively measured neighbourhood features and walking for transport in mid-aged adults. Local Environment, 17(2), pp. 131-146.

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation

Palavras-Chave #050000 ENVIRONMENTAL SCIENCES #120000 BUILT ENVIRONMENT AND DESIGN #walking #walking for transport #environment #neighbourhood #GIS
Tipo

Journal Article