Quantifying self-rated age.

IF 2.5 2区 社会学 Q1 DEMOGRAPHY
Georgia Verropoulou, Apostolos Papachristos, George B Ploubidis, Cleon Tsimbos
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引用次数: 0

Abstract

Chronological age, in conjunction with population life tables, is widely used for estimating future life expectancy. The aims of this study are to estimate a subjective ageing indicator, namely self-rated age, and to evaluate its concurrent validity in comparison with other age indicators: subjective survival probabilities, subjective age, and biological age. We use data from the Wave 6 of the Survey of Health, Ageing and Retirement in Europe, Wave 12 of the Health and Retirement Study in the United States, and life tables from the Human Mortality Database. For the statistical analysis we use multinomial regression models. Our results indicate that health status and frequency of physical activities imply similar patterns of self- rated age, subjective survival probabilities, subjective age, and biological age. However, the impact of cognitive function differs by geographical region. Self-rated age can be interpreted as a subjective adjustment that better reflects the ageing process.

量化自评年龄。
实际年龄,结合人口寿命表,被广泛用于估计未来的预期寿命。本研究的目的是估计一个主观老化指标,即自评年龄,并与其他年龄指标(主观生存概率、主观年龄和生物年龄)进行比较,评估其并发效度。我们使用的数据来自欧洲健康、老龄化和退休调查的第6波,美国健康和退休研究的第12波,以及人类死亡率数据库的生命表。对于统计分析,我们使用多项回归模型。我们的研究结果表明,健康状况和体育活动的频率暗示了相似的自评年龄、主观生存概率、主观年龄和生物年龄模式。然而,认知功能的影响因地理区域而异。自评年龄可以解释为一种主观调整,更能反映衰老过程。
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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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
30
期刊介绍: For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.
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