影响主观预期寿命的因素:韩国老龄化纵向研究分析

Jaekyoung Bae, Y. Park, Bo-Kyoung Shine
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摘要

主观预期寿命(SLE)是实际预期寿命的预测值。主观预期寿命与死亡率有明显的相关性。2006 年韩国老龄化纵向研究(KLoSA)对 10,254 名 45 岁以上的韩国人进行了代表性抽样调查,以评估系统性红斑狼疮各因素之间的关联。我们采用了描述性分析、相关性分析和年龄调整回归分析来研究系统性红斑狼疮与人口、社会经济和健康因素之间的关系。我们还将 2018 年 KLo-SA 死亡统计数据与 2006 年的数据联系起来,以评估精算预期寿命与系统性红斑狼疮之间的关联。我们发现,慢性疾病和日常生活活动的限制会影响个人的预期寿命。婚姻、有报酬的工作和高学历会延长预期寿命。锻炼的人预期寿命较长,而吸烟和酗酒的人预期寿命较短。自评健康状况越好,系统性红斑狼疮发病率越高。有房子的人比没有房子的人预期寿命更长,居住在大都市和城市地区的人比居住在农村地区的人预期寿命更长。2006年至2018年期间死亡的参与者之前预测的预期寿命低于活到2018年的参与者。研究结果表明,目前的健康状况、健康行为、社会经济地位和实际预期寿命与系统性红斑狼疮在预期方向上有显著关联。这些发现意味着,我们可以将系统性红斑狼疮作为健康状况、健康行为和实际预期寿命的数据库。这些信息可以帮助我们干预和改进与系统性红斑狼疮相关的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting Subjective Life Expectancy: Analysis of Korean Longitudinal Study of Aging
Subjective life expectancy (SLE) is the predictive value of actual life expectancy. SLE has been notably associated with mortality. The 2006 Korean Longitudinal Study of Aging (KLoSA) representative sample of 10,254 Koreans aged over 45 years to assess the associations between factors of SLE. Descriptive analysis, correlations, and age-adjusted regression analyses were used to examine the relationship between SLE and demographic, socioeconomic, and health factors. We also linked the 2018 KLo-SA death statistics to the 2006 data to evaluate the association between actuarial life expectancy and SLE. We found that chronic illnesses and limitations in activities of daily living affect the life expectancy of individuals. Marriage, gainful employment, and high educational qualifications increase life expectancy. People who exercise expect to live longer, while those who smoke and drink expect to live somewhat shorter lives. Better self-rated health is associated with higher SLE. People who own a house expect to live longer than non-owners, and individuals living in metropolitan cities and urban areas assume a longer life expectancy than those living in rural areas. Participants who died between 2006 and 2018 had previously predicted a lower life expectancy than those who survived until 2018. The results of the study suggest that current health status, health behaviors, socioeconomic status, and actual life expectancy showed significant associations with SLE in the expected directions. These findings imply that we could use SLE as a database of health status, health behavior, and actual life expectancy. This information could help us intervene and improve policies related to SLE.
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