TY - JOUR
T1 - Perceived built environment characteristics associated with walking and cycling across 355 communities in 21 countries
AU - Prospective Urban and Rural Epidemiological (PURE) Study investigators
AU - Boakye, Kwadwo
AU - Bovbjerg, Marit
AU - Schuna, John
AU - Branscum, Adam
AU - Mat-Nasir, Nafiza
AU - Bahonar, Ahmad
AU - Barbarash, Olga
AU - Yusuf, Rita
AU - Lopez-Jaramillo, Patricio
AU - Seron, Pamela
AU - Rosengren, Annika
AU - Yeates, Karen
AU - Chifamba, Jephat
AU - Alhabib, Khalid F.
AU - Davletov, Kairat
AU - Keskinler, Mirac Vural
AU - Diaz, Maria
AU - Kruger, Lanthe
AU - Li, Yang
AU - Zhiguang, Liu
AU - Tse, Lap Ah
AU - Wielgosz, Andreas
AU - Teo, Koon
AU - Erkin, Mirrakhimov
AU - Rangarajan, Sumathy
AU - Lear, Scott
AU - Yusuf, Salim
AU - Hystad, Perry
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - Research examining built environment (BE) characteristics and walking/cycling behaviors has been conducted primarily in high-income countries and conclusions cannot be applied directly to low- and middle-income countries. We evaluated perceived BE characteristics and walking/cycling behaviors across 355 urban communities in 21 low-, middle-, and high- income countries using individual data for 39,908 adults in the Prospective Urban and Rural Epidemiology study. The 1-week long-form International Physical Activity Questionnaire was used to measure walking/cycling behaviors. Perceived BE characteristics were measured using the Neighborhood Environment Walkability Scale. Mixed effects logistic regression models examined associations between BE measures and walking for transport (≥150 min/wk), walking for leisure (≥150 min/wk), and any cycling for transport, controlling for individual, household, and community factors. Land-use mix diversity, land-use mix access, and street connectivity were associated with higher odds of walking for transport. Land-use mix diversity, land-use mix access, safety from traffic and safety from crime were associated with higher odds of walking for leisure. Land-use mix diversity, land-use mix access, and aesthetics were associated with higher odds of cycling. Differences in associations were observed by country-income status. Our findings can help guide policy makers globally to implement BE design to encourage walking and cycling behaviors.
AB - Research examining built environment (BE) characteristics and walking/cycling behaviors has been conducted primarily in high-income countries and conclusions cannot be applied directly to low- and middle-income countries. We evaluated perceived BE characteristics and walking/cycling behaviors across 355 urban communities in 21 low-, middle-, and high- income countries using individual data for 39,908 adults in the Prospective Urban and Rural Epidemiology study. The 1-week long-form International Physical Activity Questionnaire was used to measure walking/cycling behaviors. Perceived BE characteristics were measured using the Neighborhood Environment Walkability Scale. Mixed effects logistic regression models examined associations between BE measures and walking for transport (≥150 min/wk), walking for leisure (≥150 min/wk), and any cycling for transport, controlling for individual, household, and community factors. Land-use mix diversity, land-use mix access, and street connectivity were associated with higher odds of walking for transport. Land-use mix diversity, land-use mix access, safety from traffic and safety from crime were associated with higher odds of walking for leisure. Land-use mix diversity, land-use mix access, and aesthetics were associated with higher odds of cycling. Differences in associations were observed by country-income status. Our findings can help guide policy makers globally to implement BE design to encourage walking and cycling behaviors.
KW - Active transport
KW - Built environment
KW - Global
KW - Leisure
KW - Physical activity
UR - http://www.scopus.com/inward/record.url?scp=85142340431&partnerID=8YFLogxK
U2 - 10.1016/j.cities.2022.104102
DO - 10.1016/j.cities.2022.104102
M3 - Artículo Científico
AN - SCOPUS:85142340431
SN - 0264-2751
VL - 132
JO - Cities
JF - Cities
M1 - 104102
ER -