(Healthy) Aging Patterns in Europe: A Multistate Health Transition Approach.

IF 1.3 Q3 GERONTOLOGY Journal of Population Ageing Pub Date : 2023-01-01 DOI:10.1007/s12062-022-09403-4
Aïda Solé-Auró, Jordi Gumà
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引用次数: 1

Abstract

We explore patterns and determinants of health transition probabilities by combining outcomes of morbidity and mortality to examine different aging patterns across Europe, and to ascertain how individual socio-demographic characteristics modify these patterns. We use panel data from the Survey of Health, Ageing and Retirement in Europe (2004- 2017) for 76,536 individuals aged 50 + in 20 European countries who participated in at least two waves. All transition probabilities were calculated applying a multistate analytical approach. Our findings show significant gender, education, and cohort differences in health transition probabilities and marked cross-country group differences. Central and Northern European countries present lower probabilities of health deterioration than Southern and, especially, Eastern European countries. Having a high level of education, living in Central Europe, and being younger are associated with lower probabilities of health deterioration and, if any, a higher probability of being restored to good health. We found less evidence of differences when transitions end in death. Our study contributes to this line of research by implementing a multistate approach using European harmonized panel dataset, to examine the effects of birth cohort, educational attainment and gender differences on health transitions. Our findings point to the need to consider the specific influence of individual factors in the aging process in different transitions according to the context and with reference to specific vulnerable groups. In the context of aging societies, such a consideration is both essential and policy relevant.

Supplementary information: The online version contains supplementary material available at 10.1007/s12062-022-09403-4.

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欧洲的(健康)老龄化模式:多州健康转型方法。
我们通过结合发病率和死亡率的结果来探索健康过渡概率的模式和决定因素,以检查欧洲不同的老龄化模式,并确定个人社会人口特征如何改变这些模式。我们使用来自欧洲健康、老龄化和退休调查(2004- 2017)的面板数据,对20个欧洲国家的76,536名50岁以上的个人进行了调查,这些人至少参加了两次浪潮。采用多态分析方法计算所有转移概率。我们的研究结果显示,在健康转变概率方面存在显著的性别、教育程度和队列差异,并且存在显著的跨国家群体差异。中欧和北欧国家的健康恶化概率低于南欧国家,特别是东欧国家。教育水平高、生活在中欧、年龄较年轻,健康恶化的可能性较低,如果有的话,恢复健康的可能性较高。我们发现,当过渡以死亡结束时,差异的证据较少。我们的研究通过使用欧洲统一面板数据集实施多州方法来研究出生队列、受教育程度和性别差异对健康转变的影响,从而为这一研究做出了贡献。我们的研究结果指出,需要根据不同的背景和参考特定的弱势群体,考虑不同过渡时期老龄化过程中个体因素的具体影响。在老龄化社会的背景下,这种考虑既是必要的,也是与政策相关的。补充信息:在线版本包含补充资料,可在10.1007/s12062-022- 09404 -4获得。
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来源期刊
CiteScore
3.80
自引率
5.00%
发文量
45
期刊介绍: The Journal of Population Ageing examines the broad questions arising from global population ageing. It provides a forum for international cross-disciplinary debate on population ageing, focusing on theoretical and empirical research and methodological innovation and development. This interdisciplinary journal publishes editorials, original peer reviewed articles, and subject and literature reviews. It offers high quality research of interest to those working in the fields of demography, bio-demography, development studies, area studies, sociology, geography, history, social gerontology, economics, and social and health policy.
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