首页> 外文期刊>Journal of Epidemiology & Community Health >Has regional variation in mortality rates declined since 1931, and in all age groups, in Britain? A re-analysis using formal statistical modelling
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Has regional variation in mortality rates declined since 1931, and in all age groups, in Britain? A re-analysis using formal statistical modelling

机译:自1931年以来,英国的各个年龄段的死亡率差异是否都在下降?使用形式统计模型的重新分析

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Study objective—To examine changes in regional variance in all cause mortality rates in Great Britain from 1931-91 using formal statistical modelling procedures, and to follow up the suggestion by Illsley and Le Grand that there has been a reduction over time in the regional variance in younger but not older age groups. Design, setting, and participants—Data were the age and sex specific death rates around each census from 1931-91 for the British regions, reconstructed to make them comparable with the 1981 regional definitions. Regional variance was modelled using bootstrap simulation tests and by age-period and age-cohort models. Measurements and main results—While there was some evidence of a decline and levelling off of the regional variance over time in older age groups (over 35), the decline in younger age groups was more marked. This broadly confirms previous findings. Parametrising the period effect into linear and quadratic components, with allowance for an increase in regional variance in the war years, gave broadly comparable fit to the data as a model with period as a factor. Models for the changes in regional variance which were based on period effects seemed to provide a better description of the observed variances than those based on birth cohort effects. In the younger (but not older) groups there was evidence of a rise in the regional variance between 1981 and 1991. Conclusions—The decline in regional variance is larger in younger than in older age groups when allowance is made for the increase in regional variance over the war years. Statistical modelling can provide insights into the data which are not always detected by descriptive analyses. Moreover, they provide a capacity for generalisation beyond the particular data; relationships found can form the basis for studies of replicability, for example, in other countries.
机译:研究目标-使用正式的统计模型程序研究1931-91年间英国所有原因死亡率的区域差异变化,并遵循Illsley和Le Grand的建议,即随着时间的推移,区域差异有所减少在年龄较小但年龄较大的人群中。设计,地点和参与者-数据是1931-91年间英国各地区人口普查中年龄和性别的特定死亡率,这些数据经过重建后可以与1981年的区域定义进行比较。使用引导程序模拟测试以及年龄和年龄组模型对区域差异进行建模。度量和主要结果—尽管有一些证据表明年龄较大的年龄组(35岁以上)随时间推移而出现了区域差异的下降并趋于平稳,但年龄较小的年龄组的下降更为明显。这在很大程度上证实了先前的发现。将战时效应参数化为线性和二次分量,并考虑到战争年代地区差异的增加,可以作为一个以战时为因子的模型,对数据进行广泛的比较拟合。基于周期效应的区域方差变化模型似乎比基于出生队列效应的模型更好地描述了观察到的方差。在较年轻(但没有较老)的人群中,有证据表明,1981年至1991年间区域差异有所增加。结论—如果考虑到区域差异的增加,则较之较年长年龄组,区域差异的下降幅度更大。在战争年代。统计建模可以提供对数据的深刻见解,而描述性分析并不总是能够发现这些见解。而且,它们提供了超越特定数据的概括能力。例如,在其他国家/地区,发现的关系可以成为研究可复制性的基础。

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