OBJECTIVE: To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling. SETTING: The city of Melbourne, Australia. PARTICIPANTS: 2349 men and women residing in 50 areas (58.7% response rate). MAIN OUTCOME MEASURE: Cycling for recreational purposes (at least once a month vs never). DESIGN: In a cross-sectional survey participants reported their frequency of recreational cycling. Objective area characteristics were collected for their residential area by environmental audits or calculated with Geographic Information Systems software. Multilevel logistic regression models were performed to examine associations between recreational cycling, area socioeconomic level, compositional characteristics (age, sex, education, occupation) and area characteristics (design, safety, destinations or aesthetics). RESULTS: After adjustment for compositional characteristics, residents of deprived areas were less likely to cycle for recreation (OR 0.66; 95% CI 0.43 to 1.00), and significant between-area differences in recreational cycling were found (median odds ratio 1.48 (95% credibility interval 1.24 to 1.78). Aesthetic characteristics tended to be worse in deprived areas and were the only group of area characteristics that explained some of the area deprivation differences. Safety characteristics explained the largest proportion of between-area variation in recreational cycling. CONCLUSION: Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.
OBJECTIVE: To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling. SETTING: The city of Melbourne, Australia. PARTICIPANTS: 2349 men and women residing in 50 areas (58.7% response rate). MAIN OUTCOME MEASURE: Cycling for recreational purposes (at least once a month vs never). DESIGN: In a cross-sectional survey participants reported their frequency of recreational cycling. Objective area characteristics were collected for their residential area by environmental audits or calculated with Geographic Information Systems software. Multilevel logistic regression models were performed to examine associations between recreational cycling, area socioeconomic level, compositional characteristics (age, sex, education, occupation) and area characteristics (design, safety, destinations or aesthetics). RESULTS: After adjustment for compositional characteristics, residents of deprived areas were less likely to cycle for recreation (OR 0.66; 95% CI 0.43 to 1.00), and significant between-area differences in recreational cycling were found (median odds ratio 1.48 (95% credibility interval 1.24 to 1.78). Aesthetic characteristics tended to be worse in deprived areas and were the only group of area characteristics that explained some of the area deprivation differences. Safety characteristics explained the largest proportion of between-area variation in recreational cycling. CONCLUSION: Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.
Authors: Anna K Porter; Fang Wen; Amy H Herring; Daniel A Rodríguez; Lynne C Messer; Barbara A Laraia; Kelly R Evenson Journal: J Urban Health Date: 2018-06 Impact factor: 3.671
Authors: Daniël C van Wijk; Joost Oude Groeniger; Frank J van Lenthe; Carlijn B M Kamphuis Journal: Int J Health Geogr Date: 2017-03-31 Impact factor: 3.918
Authors: Carlijn Bm Kamphuis; Frank J van Lenthe; Katrina Giskes; Martijn Huisman; Johannes Brug; Johan P Mackenbach Journal: Int J Behav Nutr Phys Act Date: 2009-01-05 Impact factor: 6.457