心肌梗死的收入不平等是在扩大还是在缩小?无心肌梗死寿命年数和发病率的时间趋势。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2021-12-24 DOI:10.1186/s12963-021-00280-1
Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer, Stefanie Sperlich, Jelena Epping
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引用次数: 0

摘要

背景:尽管在预防和治疗方面取得了重大进展,心肌梗塞(MI)仍是一种常见的健康问题,会导致高死亡率和严重的健康损害。以往的研究缺乏证据证明发病率和死亡率风险方面的社会不平等是如何随着时间的推移而发展的,以及这些发展如何影响不同社会亚群中无心肌梗死和心肌梗死后的寿命。本研究调查了无心肌梗死寿命年数和心肌梗死后寿命年数方面的收入不平等现象,以及这些不平等现象是随着时间的推移而扩大还是缩小:分析基于德国一家大型医疗保险提供商的理赔数据,该医疗保险提供商为联邦下萨克森州约 280 万人提供保险。通过比较 2006-2008 年和 2015-2017 年这两个时间段,使用多态生存模型对所有 60 岁及以上受试者的发病率和死亡率的收入不平等趋势进行了评估。通过多州生命表分析,分别计算了各收入组别无心肌梗死和心肌梗死后的生命年数趋势:随着时间的推移,心肌梗死发病率和死亡率风险都有所下降,但在高收入群体中,男性和女性的下降幅度最大。虽然收入较高的男性和女性无心肌梗死的寿命年数有所增加,但低收入群体无心肌梗死的寿命年数却没有增加。在男性中,无论收入分组如何,发生心肌梗死后的寿命年数都有所增加:结论:随着时间的推移,无心肌梗死寿命和心肌梗死后寿命方面的收入不平等有所扩大。尤其是低收入男性处于不利地位,因为他们在心肌梗死后的寿命增加了,但却没有获得无心肌梗死的寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Widening or narrowing income inequalities in myocardial infarction? Time trends in life years free of myocardial infarction and after incidence.

Background: Despite substantial improvements in prevention and therapy, myocardial infarction (MI) remains a frequent health event, causing high mortality and serious health impairments. Previous research lacks evidence on how social inequalities in incidence and mortality risks developed over time, and on how these developments affect the lifespan free of MI and after MI in different social subgroups. This study investigates income inequalities in MI-free life years and life years after MI and whether these inequalities widened or narrowed over time.

Methods: The analyses are based on claims data of a large German health insurance provider insuring approximately 2.8 million individuals in the federal state Lower Saxony. Trends in income inequalities in incidence and mortality were assessed for all subjects aged 60 years and older by comparing the time periods 2006-2008 and 2015-2017 using multistate survival models. Trends in the number of life years free of MI and after MI were calculated separately for income groups by applying multistate life table analyses.

Results: MI incidence and mortality risks decreased over time, but declines were strongest among men and women in the higher-income group. While life years free of MI increased in men and women with higher incomes, no MI-free life years were gained in the low-income group. Among men, life years after MI increased irrespective of income group.

Conclusions: Income inequalities in the lifespan spent free of MI and after MI widened over time. In particular, men with low incomes are disadvantaged, as life years spent after MI increased, but no life years free of MI were gained.

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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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