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自报年龄的量化。

Quantifying self-rated age.

机构信息

University of Piraeus.

University College London.

出版信息

Popul Stud (Camb). 2022 Jul;76(2):347-361. doi: 10.1080/00324728.2022.2030490. Epub 2022 Feb 15.

DOI:10.1080/00324728.2022.2030490
PMID:35164652
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.

摘要

年龄通常与人口生命表一起用于预测未来的预期寿命。本研究旨在估计一种主观的衰老指标,即自评年龄,并评估其与其他年龄指标的同时效度:主观生存概率、主观年龄和生物年龄。我们使用了来自欧洲健康、老龄化和退休调查第 6 波、美国健康与退休研究第 12 波以及人类死亡率数据库的生命表的数据。在统计分析中,我们使用了多项回归模型。结果表明,健康状况和身体活动频率暗示了自评年龄、主观生存概率、主观年龄和生物年龄相似的模式。然而,认知功能的影响因地理区域而异。自评年龄可以被解释为一种更好地反映衰老过程的主观调整。

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