Cubbin C, LeClere F B, Smith G S
Stanford Center for Research in Disease Prevention, Stanford University School of Medicine, 1000 Welch Road, Palo Alto, CA 94304-1825, USA.
J Epidemiol Community Health. 2000 Jul;54(7):517-24. doi: 10.1136/jech.54.7.517.
This study examined both individual and neighbourhood correlates of injury mortality to better understand the contribution of socioeconomic status to cause specific injury mortality. Of particular interest was whether neighbourhood effects remained after adjusting for individual demographic characteristics and socioeconomic status.
Census tract data (measuring small area socioeconomic status, racial concentration, residential stability, urbanisation, and family structure) was merged with the National Health Interview Survey (NHIS) and a file that links the respondents to subsequent follow up of vital status and cause of death data. Cox proportional hazards models were specified to determine individual and neighbourhood effects on homicide, suicide, motor vehicle deaths, and other external causes. Variances are adjusted for the clustered sample design of the NHIS.
United States, 1987-1994, with follow up to the end of 1995.
From a sample of 472 364 persons ages 18-64, there were 1195 injury related deaths over the follow up period.
Individual level effects were generally robust to the inclusion of neighbourhood level variables in the models. Neighbourhood characteristics had independent effects on the outcome even after adjustment for individual variability. For example, there was approximately a twofold increased risk of homicide associated with living in a neighborhood characterised by low socioeconomic status, after adjusting for individual demographic and socioeconomic characteristics.
Social inequalities in injury mortality exist for both persons and places. Policies or interventions aimed at preventing or controlling injuries should take into account not only the socioeconomic characteristics of people but also of the places in which they live.
本研究考察了个体及社区层面与伤害死亡率相关的因素,以更好地理解社会经济地位对特定原因伤害死亡率的影响。特别值得关注的是,在对个体人口统计学特征和社会经济地位进行调整之后,社区层面的影响是否依然存在。
将普查区数据(衡量小区域社会经济地位、种族集中程度、居住稳定性、城市化程度和家庭结构)与国家健康访谈调查(NHIS)以及一个将受访者与后续生命状况和死亡原因数据的随访相联系的文件进行合并。采用Cox比例风险模型来确定个体及社区层面因素对杀人、自杀、机动车死亡及其他外部原因造成的死亡的影响。对NHIS的聚类样本设计的方差进行了调整。
美国,1987 - 1994年,随访至1995年底。
从472364名年龄在18 - 64岁的样本中,随访期间有1195例与伤害相关的死亡。
在模型中纳入社区层面变量后,个体层面的影响通常较为稳健。即使对个体差异进行了调整,社区特征对结果仍有独立影响。例如,在对个体人口统计学和社会经济特征进行调整之后,居住在社会经济地位较低社区的人,其杀人风险大约会增加一倍。
伤害死亡率方面的社会不平等在人和地区两方面都存在。旨在预防或控制伤害的政策或干预措施不仅应考虑人们的社会经济特征,还应考虑他们居住的地方的特征。