Kamphuis C B M, Giskes K, Kavanagh A M, Thornton L E, Thomas L R, van Lenthe F J, Mackenbach J P, Turrell G
Department of Public Health, Erasmus University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
J Epidemiol Community Health. 2008 Oct;62(10):890-8. doi: 10.1136/jech.2007.067116.
To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling.
The city of Melbourne, Australia.
2349 men and women residing in 50 areas (58.7% response rate).
Cycling for recreational purposes (at least once a month vs never).
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).
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.
Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.
研究构成性和/或背景区域特征是否与区域社会经济不平等以及休闲骑行的区域间差异相关。
澳大利亚墨尔本。
居住在50个区域的2349名男性和女性(应答率为58.7%)。
休闲骑行(每月至少一次与从不骑行)。
在一项横断面调查中,参与者报告其休闲骑行的频率。通过环境审计或使用地理信息系统软件收集其居住区域的客观区域特征。采用多水平逻辑回归模型研究休闲骑行、区域社会经济水平、构成性特征(年龄、性别、教育程度、职业)和区域特征(设计、安全性、目的地或美观性)之间的关联。
在对构成性特征进行调整后,贫困地区的居民进行休闲骑行的可能性较小(比值比0.66;95%置信区间0.43至1.00),并且发现休闲骑行存在显著的区域间差异(中位数比值比1.48(95%可信区间1.24至1.78)。贫困地区的美观性特征往往较差,并且是唯一一组能够解释部分区域贫困差异的区域特征。安全性特征解释了休闲骑行区域间差异的最大比例。
在安全和美观的区域特征方面创造支持性环境可能分别减少休闲骑行的区域间差异和区域贫困不平等。