Bicycling injury hospitalisation rates in Canadian jurisdictions: analyses examining associations with helmet legislation and mode share

Bicycling injury hospitalisation rates in Canadian jurisdictions: analyses examining associations with helmet legislation and mode share
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DOI:
10.1136/bmjopen-2015-008052
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发表时间:
2015-01-01
期刊:
影响因子:
2.9
通讯作者:
Dennis, Jessica
Dennis, Jessica
中科院分区:
医学3区
文献类型:
--
作者:
Teschke, Kay;Koehoorn, Mieke;Dennis, Jessica

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目的:本研究的目的是计算不同头盔立法和自行车模式份额的加拿大司法管辖区基于自行车暴露的住院率,并检验其是否与这些差异有关。方法:使用10个身体区域组的自行车损伤住院管理数据和全国自行车出行调查数据来计算住院率。计算了所有伤害原因的44个性别、年龄和管辖阶层和交通相关伤害原因的22个年龄和管辖阶层的比率。推论分析检查了住院率与性别、年龄组、头盔法规和骑自行车方式的比例之间的关系。结果:在加拿大,在2006-2011年的研究期间,12岁及以上的人平均每年住院3690次,估计每年骑自行车5.93亿次,骑自行车住院率为每1亿次622次(95%可信区间611到633)。不同司法管辖区、年龄和性别阶层的住院率差异很大,但只有两个特征可以解释这种差异。在所有伤害原因中,性别与住院率有关;女性的住院率始终低于男性。对于与交通相关的伤害原因,骑自行车模式比例越高,住院率越低。头盔立法与脑、头、头皮、头骨、面部或颈部损伤的住院率无关。结论:这些结果表明,旨在降低人口骑自行车伤害率的交通和卫生政策制定者应该关注与骑自行车方式份额增加和女性骑行选择相关的因素。自行车路线被设计为在物理上与车辆分开或沿着安静的街道,符合这两个标准,并与较低的受伤风险相关。
Objectives: The purpose of this study was to calculate exposure-based bicycling hospitalisation rates in Canadian jurisdictions with different helmet legislation and bicycling mode shares, and to examine whether the rates were related to these differences.Methods: Administrative data on hospital stays for bicycling injuries to 10 body region groups and national survey data on bicycling trips were used to calculate hospitalisation rates. Rates were calculated for 44 sex, age and jurisdiction strata for all injury causes and 22 age and jurisdiction strata for traffic-related injury causes. Inferential analyses examined associations between hospitalisation rates and sex, age group, helmet legislation and bicycling mode share.Results: In Canada, over the study period 2006-2011, there was an average of 3690 hospitalisations per year and an estimated 593 million annual trips by bicycle among people 12 years of age and older, for a cycling hospitalisation rate of 622 per 100 million trips (95% CI 611 to 633). Hospitalisation rates varied substantially across the jurisdiction, age and sex strata, but only two characteristics explained this variability. For all injury causes, sex was associated with hospitalisation rates; females had rates consistently lower than males. For traffic-related injury causes, higher cycling mode share was consistently associated with lower hospitalisation rates. Helmet legislation was not associated with hospitalisation rates for brain, head, scalp, skull, face or neck injuries.Conclusions: These results suggest that transportation and health policymakers who aim to reduce bicycling injury rates in the population should focus on factors related to increased cycling mode share and female cycling choices. Bicycling routes designed to be physically separated from traffic or along quiet streets fit both these criteria and are associated with lower relative risks of injury.