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首页> 外文期刊>International Journal of Population Data Science >Socioeconomic inequalities in the non-fatal and fatal burden of disease: findings from Scottish Burden of Disease (SBoD) 2016 Scottish Burden of Disease Project Team
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Socioeconomic inequalities in the non-fatal and fatal burden of disease: findings from Scottish Burden of Disease (SBoD) 2016 Scottish Burden of Disease Project Team

机译:非致命和致命疾病负担中的社会经济不平等:2016年苏格兰疾病负担项目组的调查结果

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BackgroundSBOD2015 was the first endeavour to produce burden of disease estimates in Scotland using linkage of routine health records. In 2017, the study highlighted disparities in burden due to morbidity and mortality with respect to age and gender for 132 conditions, diseases and injuries. ObjectivesThe aim of SBOD2016 is to report on socioeconomic inequalities to provide further evidence to support preventable public health. MethodsMorbidity estimates were estimated using an extensive range of administrative datasets to provide a transparent and systematic approach to describe non-fatal population health loss. Combining these estimates with the Global Burden of Disease 2016 study’s relative assessment of severity and disability for each condition, we were able to calculate the Years Lived with Disability (YLD). Death registrations were used alongside life expectancy data to calculate the Years of Life Lost to premature mortality (YLL) as a measure of fatal burden. FindingsPreliminary findings show a three-fold increase in the burden of disease between individuals living in the most deprived areas compared to the least deprived areas. The profile of diseases contributing the largest burden also varies between the most and least deprived areas. ConclusionsBy combining information on fatal burden with the burden of living in less than ideal health (non-fatal burden), planners and policymakers have a better idea of the contribution that different diseases, conditions and injuries make to the total burden of disease and how this varies by levels of deprivation. This in turn provides information to support decisions about where prevention and service activity should be focused. It also provides a way of looking at the proportion of the burden that can be explained by a range of exposures in the population such as poverty or smoking.
机译:背景技术SBOD2015是苏格兰首个通过常规健康记录链接来估算疾病负担的工作。 2017年,该研究强调了132种疾病,疾病和伤害在年龄和性别方面的发病率和死亡率造成的负担差异。目标SBOD2016的目的是报告社会经济不平等状况,以提供进一步的证据来支持可预防的公共卫生。方法使用广泛的行政数据集估算发病率,以提供一种透明,系统的方法来描述非致命人群的健康损失。将这些估计值与《 2016年全球疾病负担》研究对每种疾病的严重性和残疾的相对评估相结合,我们就能够计算出残疾人的生存年限(YLD)。死亡登记与预期寿命数据一起用于计算因过早死亡而丧命的年数(YLL),作为衡量致命负担的方法。研究结果初步发现,生活在最贫困地区的人与最贫困地区相比,疾病负担增加了三倍。在最大和最贫困的地区之间,造成最大负担的疾病的情况也有所不同。结论通过将有关致命负担和生活水平低于理想健康水平的生活负担(非致命负担)的信息相结合,计划者和决策者可以更好地了解不同疾病,状况和伤害对疾病总负担的贡献,以及如何做到这一点。因贫困程度而异。反过来,这提供了信息以支持有关预防和服务活动应集中在哪里的决策。它还提供了一种方法来查看负担的比例,这可以通过人口中的一系列暴露(例如贫困或吸烟)来解释。

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