Instituto de Salud Colectiva, Universidad Nacional de Lanús, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
Drexel University, Department of Politics, Philadelphia, USA.
Public Health. 2019 Oct;175:28-35. doi: 10.1016/j.puhe.2019.06.016. Epub 2019 Aug 1.
The objective of this study is to analyse how educational differentials in traffic mortality changed during economic fluctuations in four Argentinian provinces.
Retrospective quantitative analysis of secondary data.
Data on fatalities due to traffic injuries (all traffic injuries, pedestrians/cyclists, motorcyclists, car users and unspecified road users) in four Argentinian provinces between 1999 and 2013 were linked to population data and information on the educational level of the deceased to compute mortality rates by educational level. Negative binomial models were estimated using age, sex, year, province of residence, year of economic expansion or recession and educational level as explanatory variables.
Annual traffic mortality differentials by educational level were lower during the period of economic crisis. An absolute increase in traffic mortality was observed in individuals of low educational level during economic expansions, but here, there were no traffic mortality differences for individuals of medium to high educational level. The educational gap in motorcyclist mortality widened during the period of quick economic expansion between 2005 and 2013.
We found less educational inequality in traffic mortality during an economic crisis in a developing country. However, the educational inequalities for different subtypes of traffic mortality show different patterns of evolution during the cycle of economic expansion and recession. Considering deaths due to traffic injuries, economic growth seems to be riskier for individuals of lower educational level compared with those of medium-high educational level.
本研究旨在分析在阿根廷四个省份的经济波动期间，交通死亡率的教育差异是如何变化的。
回顾性的次级数据分析。
1999 年至 2013 年期间，阿根廷四个省份因交通伤害而导致的死亡数据（所有交通伤害、行人和/或骑自行车的人、骑摩托车的人、汽车使用者和未指明的道路使用者）与人口数据以及死者的教育程度信息相关联，以计算按教育程度划分的死亡率。使用年龄、性别、年份、居住地省份、经济扩张或衰退年份和教育程度作为解释变量，对负二项式模型进行了估计。
在经济危机期间，按教育程度划分的年度交通死亡率差异较小。在经济扩张期间，低教育水平的个体的交通死亡率绝对增加，但中高教育水平的个体则没有交通死亡率差异。在 2005 年至 2013 年经济快速扩张期间，摩托车手死亡率的教育差距扩大。
我们发现，在一个发展中国家的经济危机期间，交通死亡率的教育不平等程度较低。然而，不同类型的交通死亡率的教育不平等程度在经济扩张和衰退周期中表现出不同的演变模式。考虑到交通伤害导致的死亡，经济增长对教育程度较低的个体来说似乎比教育程度较高的个体更具风险。
