title: The socioeconomic inequality in traffic-related disability among Chinese adults: the application of concentration index.
abstract: Traffic crashes have become the fifth leading cause of burden of diseases and injuries in China. More importantly, it may further aggravate the degree of health inequality among Chinese population, which is still under-investigated. Based on a nationally representative data, we calculated the concentration index (CI) to measure the socioeconomic inequality in traffic-related disability (TRD), and decomposed CI into potential sources of the inequality. Results show that more than 1.5 million Chinese adults were disabled by traffic crashes and the adults with financial disadvantage bear disproportionately heavier burden of TRD. Besides, strategies of reducing income inequality and protecting the safety of poor road users, are of great importance. Residence appears to counteract the socioeconomic inequality in TRD, however, it does not necessarily come to an optimistic conclusion. In addition to the worrying income gap between rural and urban areas, other possible mechanisms, e.g. the low level of post-crash medical resources in rural area, need further studies. China is one of the developing countries undergoing fast motorization and our findings could provide other countries in similar context with some insights about how to maintain socioeconomic equality in road safety.
authors.affiliation: Institute of Population Research, Peking University, Beijing 100871, China. chenhe.liz@gmail.com
authors.forename: He
authors.initials: H
authors.lastname: Chen
authors.forename: Wei
authors.initials: W
authors.lastname: Du
authors.forename: Ning
authors.initials: N
authors.lastname: Li
authors.forename: Gong
authors.initials: G
authors.lastname: Chen
authors.forename: Xiaoying
authors.initials: X
authors.lastname: Zheng
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D017677:Age Distribution; D002681:China / Q000453:epidemiology; D017281:Cost of Illness; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D004522:Educational Status; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008875:Middle Aged; D012424:Rural Population; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014505:Urban Population; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology