关于健康寿命不平等的测量。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2022-01-04 DOI:10.1186/s12963-021-00279-8
Iñaki Permanyer, Jeroen Spijker, Amand Blanes
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引用次数: 5

摘要

背景:目前监测人口健康的措施包括以下指标:(i)平均寿命(预期寿命),(ii)健康状况良好的平均寿命(预期健康),以及(iii)寿命变化(寿命不平等)。目前缺乏的是衡量健康寿命在个人之间分布不均程度的指标(所谓的“健康寿命不平等”指标)。方法:我们将西班牙(2014-2017年)按性别和教育水平划分的年龄特异性生存率与功能限制或残疾患病率信息结合起来,以估计残疾发病年龄分布。成人日常活动限制的年龄、性别和教育特定患病率基于2014年和2017年西班牙国家健康调查得出的GALI指数。我们用基尼指数来衡量不平等。结果:在当代西班牙,受教育程度在预期健康方面的差异很大,远远超过预期寿命方面的差异。考虑到总体和各教育群体的健康预期指标,女性在预期寿命方面的优势就消失了。受过高等教育的人的寿命不平等程度较低,而男性的寿命不平等程度则系统性地较高。我们新的健康寿命不平等指标表明,身体日常活动限制开始的年龄变异性远远大于个体死亡年龄的变异性。健康寿命方面的不平等往往随着受教育程度的提高而减少,对男女都是如此。女性开始出现身体缺陷的年龄差异略高于男性。结论:建议的指标揭示了现有方法无法追踪的卫生不平等的新层面。与受过高等教育的人相比,受教育程度低的人不仅往往死得早,身体健康的时间也更短,但在最终死亡时间和停止享受健康的年龄方面,他们也面临着更大的差异——在评估公共卫生系统的表现、制定现实的工作寿命延长计划和设计公平的养老金改革时,应考虑到不平等的多重负担。
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On the measurement of healthy lifespan inequality.

Background: Current measures to monitor population health include indicators of (i) average length-of-life (life expectancy), (ii) average length-of-life spent in good health (health expectancy), and (iii) variability in length-of-life (lifespan inequality). What is lacking is an indicator measuring the extent to which healthy lifespans are unequally distributed across individuals (the so-called 'healthy lifespan inequality' indicators).

Methods: We combine information on age-specific survival with the prevalence of functional limitation or disability in Spain (2014-2017) by sex and level of education to estimate age-at-disability onset distributions. Age-, sex- and education-specific prevalence rates of adult individuals' daily activities limitations were based on the GALI index derived from Spanish National Health Surveys held in 2014 and 2017. We measured inequality using the Gini index.

Results: In contemporary Spain, education differences in health expectancy are substantial and greatly exceed differences in life expectancy. The female advantage in life expectancy disappears when considering health expectancy indicators, both overall and across education groups. The highly educated exhibit lower levels of lifespan inequality, and lifespan inequality is systematically higher among men. Our new healthy lifespan inequality indicators suggest that the variability in the ages at which physical daily activity limitations start are substantially larger than the variability in the ages at which individuals die. Healthy lifespan inequality tends to decrease with increasing educational attainment, both for women and for men. The variability in ages at which physical limitations start is slightly higher for women than for men.

Conclusions: The suggested indicators uncover new layers of health inequality that are not traceable with currently existing approaches. Low-educated individuals tend to not only die earlier and spend a shorter portion of their lives in good health than their highly educated counterparts, but also face greater variation in the eventual time of death and in the age at which they cease enjoying good health-a multiple burden of inequality that should be taken into consideration when evaluating the performance of public health systems and in the elaboration of realistic working-life extension plans and the design of equitable pension reforms.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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