Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, Building A, 8th Floor, CP 18016, Granada, Spain.
Centre for Biomedical Research in Network of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Sci Rep. 2022 Feb 24;12(1):3157. doi: 10.1038/s41598-022-07135-1.
The effect of helmet use on reducing the risk of death in cyclists appears to be distorted by some variables (potential confounders, effect modifiers, or both). Our aim was to provide evidence for or against the hypothesis that cycling area may act as a confounder and effect modifier of the association between helmet use and risk of death of cyclists involved in road crashes. Data were analysed for 24,605 cyclists involved in road crashes in Spain. A multiple imputation procedure was used to mitigate the effect of missing values. We used multilevel Poisson regression with province as the group level to estimate the crude association between helmet use and risk of death, and also three adjusted analyses: (1) for cycling area only, (2) for the remaining variables which may act as confounders, and (3) for all variables. Incidence-density ratios (IDR) and their 95% confidence intervals were calculated. Crude IDR was 1.10, but stratifying by cycling area disclosed a protective, differential effect of helmet use: IDR = 0.67 in urban areas, IDR = 0.34 on open roads. Adjusting for all variables except cycling area yielded similar results in both strata, albeit with a smaller difference between them. Adjusting for cycling area only yielded a strong association (IDR = 0.42), which was slightly lower in the adjusted analysis for all variables (IDR = 0.45). Cycling area can act as a confounder and also appears to act as an effect modifier (albeit to a lesser extent) of the risk of cyclists' death after a crash.
头盔使用对降低自行车骑手死亡风险的影响似乎受到一些变量的扭曲(潜在混杂因素、效应修饰因素或两者兼有)。我们的目的是提供证据支持或反对以下假设:自行车骑行区域可能是头盔使用与涉及道路碰撞的自行车骑手死亡风险之间关联的混杂因素和效应修饰因素。对西班牙 24605 名涉及道路碰撞的自行车骑手进行了数据分析。采用多重插补程序减轻缺失值的影响。我们使用带有省级作为群组水平的多层次泊松回归来估计头盔使用与死亡风险之间的粗关联,还进行了三项调整分析:(1)仅针对自行车骑行区域,(2)针对可能作为混杂因素的其余变量,(3)针对所有变量。计算发病率密度比(IDR)及其 95%置信区间。粗 IDR 为 1.10,但按自行车骑行区域分层显示头盔使用具有保护、差异效应:城市地区的 IDR=0.67,开放道路的 IDR=0.34。调整除自行车骑行区域以外的所有变量在两个分层中得出相似的结果,尽管它们之间的差异较小。仅调整自行车骑行区域得出强烈的关联(IDR=0.42),在调整所有变量的分析中,该关联略低(IDR=0.45)。自行车骑行区域可以作为混杂因素,并且似乎也作为(尽管程度较小)碰撞后自行车骑手死亡风险的效应修饰因素。