Bell Nathaniel, Schuurman Nadine, Hameed S Morad
Department of Geography, RBC 7123, Simon Fraser University, Burnaby, BC V5A 15A.
Can J Public Health. 2009 Jan-Feb;100(1):73-7. doi: 10.1007/BF03405498.
The purposes of this study are to a) determine the extent to which individual and neighbourhood-level socio-economic indicators broadly reflect the social conditions associated with assault injuries within an urban Canadian city, b) examine the significance of this relationship and c) determine if this relationship is best explained at the individual or neighbourhood scale.
Assault-related hospitalization data (2001-2006) were obtained from the British Columbia Trauma Registry (BCTR). Data from the 2001 Census were used as proxy measures of individual and neighbourhood socio-economic status (SES). A generalized hierarchical nonlinear model was used to differentiate between individual and neighbourhood effects.
A social gradient according to individual and neighbourhood SES and frequency of assault injuries was observed for adults of all ages. After controlling for age and individual SES, probability of greater risk of assault injury among individuals living in progressively less privileged neighbourhoods remained 1.5-3 times higher than individuals living in the least deprived neighbourhoods. For adults under the age of 35, neighbourhood SES was a more statistically significant indicator of increased odds of assault injury than individual income.
Assessing compositional and contextual variations in health outcomes provides health researchers engaged in injury surveillance a way of showing how, and for which type of people, neighbourhood environments influence the likelihood that an individual will be hospitalized due to an intentional injury. This analysis suggests that prevention efforts exclusively focused on the individual may have a limited effect in reducing the occurrence of assault-related injuries, especially among young adults.
本研究的目的是:a)确定个体和社区层面的社会经济指标在多大程度上广泛反映了加拿大一个城市中与攻击伤相关的社会状况;b)检验这种关系的重要性;c)确定这种关系在个体层面还是社区层面能得到最好的解释。
与攻击相关的住院数据(2001 - 2006年)来自不列颠哥伦比亚创伤登记处(BCTR)。2001年人口普查数据用作个体和社区社会经济地位(SES)的替代指标。使用广义分层非线性模型来区分个体和社区效应。
观察到所有年龄段成年人中,根据个体和社区SES以及攻击伤发生频率存在社会梯度。在控制年龄和个体SES后,生活在特权程度逐渐降低社区的个体遭受攻击伤的风险较高的概率,仍比生活在最不贫困社区的个体高出1.5至3倍。对于35岁以下的成年人,社区SES比个人收入在统计学上更显著地表明攻击伤几率增加。
评估健康结果中的构成和背景差异,为从事伤害监测的健康研究人员提供了一种方式,以展示社区环境如何以及对何种类型的人影响个体因故意伤害而住院的可能性。该分析表明,仅专注于个体的预防措施在减少与攻击相关伤害的发生方面可能效果有限,尤其是在年轻人中。