Area variation in recreational cycling in Melbourne: a compositional or contextual effect?
OBJECTIVE
To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling.


METHODS
The city of Melbourne, Australia.


METHODS
2349 men and women residing in 50 areas (58.7% response rate).


METHODS
Cycling for recreational purposes (at least once a month vs never).


METHODS
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.


CONCLUSIONS
Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.
Kamphuis
C B M
CB
Department of Public Health, Erasmus University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. c.kamphuis@erasmusmc.nl
Giskes
K
K
Kavanagh
A M
AM
Thornton
L E
LE
Thomas
L R
LR
van Lenthe
F J
FJ
Mackenbach
J P
JP
Turrell
G
G
D000293:Adolescent; D000328:Adult; D000368:Aged; D001642:Bicycling / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011204:Poverty Areas; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012923:Social Class; D012959:Socioeconomic Factors; D014504:Urban Health / Q000706:statistics & numerical data; D014739:Victoria; D055815:Young Adult