Pomerantz W J, Dowd M D, Buncher C R
Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
J Urban Health. 2001 Mar;78(1):141-51. doi: 10.1093/jurban/78.1.141.
The objective was to examine the relationship between injury rates and socioeconomic factors for children in Hamilton County, Ohio, using small-area analysis. The subjects were county residents less than 15 years old who were hospitalized or died of injuries between January 1, 1993, and December 31, 1995; they were identified through a population-based trauma registry. The census tract was the unit of analysis; the rate of injury per 100,000 population was the dependent variable. Risk factors included median income, level of education, percentage below the poverty level, percentage unemployment, percentage non-Caucasian, and percentage families headed by females. There were 2,437 children meeting the case definition; injuries per census tract ranged from 0 to 2,020.2 per 100,000 per year. Census tracts with higher injury rates had lower median incomes, more people with less than a high school education, more unemployment, more families headed by females, more people living below the poverty level, and more non-Caucasians than those with lower rates. In a regression model, percentage of people living below the poverty level, percentage of those who did not graduate from high school, and percentage unemployment were significant risk factors for injuries, P < .001. Since small-area analysis examines associations on an ecological level rather than an individual level, these studies should always be interpreted with caution because an association found at the level of the census tract may not apply at the individual level. Interventions to reduce injuries should target socioeconomically disadvantaged children living below the poverty level and those in areas with fewer high school graduates and more unemployment.
目的是利用小区域分析方法,研究俄亥俄州汉密尔顿县儿童伤害发生率与社会经济因素之间的关系。研究对象为1993年1月1日至1995年12月31日期间因伤住院或死亡的15岁以下县居民;通过基于人群的创伤登记系统进行识别。普查区为分析单位;每10万人的伤害发生率为因变量。风险因素包括收入中位数、教育水平、贫困线以下人口百分比、失业率、非白种人百分比以及女性户主家庭百分比。有2437名儿童符合病例定义;每个普查区每年每10万人的伤害数在0至2020.2之间。伤害发生率较高的普查区,其收入中位数较低,高中以下学历人口更多,失业率更高,女性户主家庭更多,生活在贫困线以下的人口更多,非白种人也比伤害发生率较低的普查区更多。在回归模型中,生活在贫困线以下人口百分比、未高中毕业人口百分比和失业率是伤害的显著风险因素,P <.001。由于小区域分析是在生态层面而非个体层面研究关联,这些研究的解释应始终谨慎,因为在普查区层面发现的关联可能不适用于个体层面。减少伤害的干预措施应针对生活在贫困线以下的社会经济弱势儿童以及高中毕业生较少和失业率较高地区的儿童。