Borrell C, Rodríguez M, Ferrando J, Brugal M T, Pasarín M I, Martínez V, Plaséncia A
Institut Municipal de Salut Pública, Barcelona, Spain.
Inj Prev. 2002 Dec;8(4):297-302. doi: 10.1136/ip.8.4.297.
To analyse the role of individual and contextual variables in injury mortality inequalities from a small area analysis perspective, looking at the data for the city of Barcelona (Spain) for 1992-98.
Barcelona (Spain).
All injury deaths in residents older than 19, which occurred in the period 1992-98 were included (n=4393). Age and sex specific mortality rates were calculated for each educational level and each cause of death (traffic injuries, falls, drug overdose, suicide, other injuries). The contextual variables included were the proportion of men unemployed, and the proportion of men in jail, in each neighbourhood. Multilevel Poisson regression models were fitted using data grouped by age, educational level, and neighbourhood for each sex.
Death rates were higher in males, at the extremes of the age distribution (under 44 and over 74 years), and for lower educational levels. The results of the Poisson multilevel models indicate that inequalities by educational level follow a gradient, with higher risks for the population with no schooling, after having adjusted for the contextual variables of the neighbourhood. Such inequalities were more important in the youngest age group (20-34 years), as relative risk of 5.41 (95% confidence interval (CI) 3.9 to 7.4) for all injury causes in males and 4.38 (95% CI 2.3 to 8.4) in females. The highest relative risks were found for drug overdose. There was a contextual neighbourhood effect (the higher the deprivation, the higher the mortality) after having taken into account individual variables.
The findings underscore the need to implement injury prevention strategies not only at the individual level taking into account socioeconomic position, but also at the neighbourhood level.
从小区域分析的角度,分析个体和环境变量在伤害死亡率不平等中的作用,研究西班牙巴塞罗那市1992 - 1998年的数据。
西班牙巴塞罗那。
纳入1992 - 1998年期间发生的所有19岁以上居民的伤害死亡病例(n = 4393)。计算每个教育水平和每种死因(交通伤害、跌倒、药物过量、自杀、其他伤害)的年龄和性别特异性死亡率。纳入的环境变量包括每个社区失业男性的比例和入狱男性的比例。使用按年龄、教育水平和社区分组的男女数据拟合多水平泊松回归模型。
男性、年龄分布两端(44岁以下和74岁以上)以及教育水平较低者的死亡率较高。泊松多水平模型的结果表明,在调整社区的环境变量后,教育水平导致的不平等呈梯度变化,未受过教育的人群风险更高。这种不平等在最年轻的年龄组(20 - 34岁)更为明显,男性所有伤害原因的相对风险为5.41(95%置信区间(CI)3.9至7.4),女性为4.38(95%CI 2.3至8.4)。药物过量的相对风险最高。在考虑个体变量后,存在社区环境效应(贫困程度越高,死亡率越高)。
研究结果强调不仅需要在个体层面实施伤害预防策略,考虑社会经济地位,还需要在社区层面实施。