Norman Paul, Boyle Paul
Centre for Spatial Analysis & Policy, School of Geography, University of Leeds, Leeds LS2 9JT, UK.
Longitudinal Studies Centre - Scotland (LSCS), School of Geography & Geosciences, University of St Andrews, St. Andrews KY16 9AL, UK.
Health Place. 2014 Mar;26:88-93. doi: 10.1016/j.healthplace.2013.12.010. Epub 2013 Dec 21.
The notion that mortality inequalities between differently deprived areas vary by age is logical since not all causes of death increase in risk with age and not all causes of death are related to the gradient of deprivation. In addition to the cause-age and cause-deprivation relationships, population migration may redistribute the population such that the health-deprivation relationship varies by age. We calculate cross-sectional all cause mortality and self-reported limiting long-term illness (LLTI) rate ratios of most to least deprived areas to demonstrate inequalities at different ages. We use longitudinal data to investigate whether there are changes in the distribution of cohorts between differently deprived areas over time and whether gradients of LLTI with deprivation also change. We find similar deprivation inequalities by age for all cause mortality and self-reported health with less inequality for young adults and the elderly but the greatest inequalities during mid life. Over time there are systematic movements of cohorts between differently deprived areas and associated increases and decreases in the gradient of LLTI across deprivation. It seems likely that population migration does influence inequalities by age. Further work should investigate whether the situation exists for other morbidities and, to better inform public health policy, whether restricting summary measures of area health to ages between 30 and 60 when inequalities are greatest will highlight between area differences.
不同贫困程度地区之间的死亡率不平等随年龄变化这一观点是合乎逻辑的,因为并非所有死因的风险都会随年龄增长而增加,而且并非所有死因都与贫困梯度相关。除了死因与年龄、死因与贫困的关系外,人口迁移可能会重新分配人口,从而使健康与贫困的关系随年龄而变化。我们计算了最贫困地区与最不贫困地区的全死因死亡率横断面比值以及自我报告的长期慢性病(LLTI)患病率比值,以证明不同年龄段的不平等情况。我们使用纵向数据来调查不同贫困程度地区之间的队列分布随时间是否发生变化,以及LLTI与贫困程度的梯度是否也发生变化。我们发现,全死因死亡率和自我报告健康状况方面的贫困不平等在各年龄段相似,年轻人和老年人的不平等程度较低,而中年时期的不平等程度最大。随着时间的推移,不同贫困程度地区之间的队列有系统性的流动,并且LLTI在贫困程度方面的梯度也相应增加和减少。人口迁移似乎确实会影响不同年龄段的不平等情况。进一步的研究应该调查其他发病率是否也存在这种情况,并且为了更好地为公共卫生政策提供信息,当不平等程度最大时,将地区健康的汇总指标限制在30至60岁之间是否会突出地区差异。