Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 10408, Republic of Korea.
Information Management Services Inc., Calverton, MD, USA.
BMC Public Health. 2022 Jan 20;22(1):141. doi: 10.1186/s12889-021-12332-0.
Life expectancy is increasingly incorporated in evidence-based screening and treatment guidelines to facilitate patient-centered clinical decision-making. However, life expectancy estimates from standard life tables do not account for health status, an important prognostic factor for premature death. This study aims to address this research gap and develop life tables incorporating the health status of adults in the United States.
Data from the National Health Interview Survey (1986-2004) linked to mortality follow-up through to 2006 (age ≥ 40, n = 729,531) were used to develop life tables. The impact of self-rated health (excellent, very good, good, fair, poor) on survival was quantified in 5-year age groups, incorporating complex survey design and weights. Life expectancies were estimated by extrapolating the modeled survival probabilities.
Life expectancies incorporating health status differed substantially from standard US life tables and by health status. Poor self-rated health more significantly affected the survival of younger compared to older individuals, resulting in substantial decreases in life expectancy. At age 40 years, hazards of dying for white men who reported poor vs. excellent health was 8.5 (95% CI: 7.0,10.3) times greater, resulting in a 23-year difference in life expectancy (poor vs. excellent: 22 vs. 45), while at age 80 years, the hazards ratio was 2.4 (95% CI: 2.1, 2.8) and life expectancy difference was 5 years (5 vs. 10). Relative to the US general population, life expectancies of adults (age < 65) with poor health were approximately 5-15 years shorter.
Considerable shortage in life expectancy due to poor self-rated health existed. The life table developed can be helpful by including a patient perspective on their health and be used in conjunction with other predictive models in clinical decision making, particularly for younger adults in poor health, for whom life tables including comorbid conditions are limited.
预期寿命越来越多地被纳入基于证据的筛查和治疗指南,以促进以患者为中心的临床决策。然而,标准寿命表中的预期寿命估计并未考虑健康状况,这是导致过早死亡的一个重要预后因素。本研究旨在解决这一研究空白,并开发纳入美国成年人健康状况的寿命表。
使用来自国家健康访谈调查(1986-2004 年)的数据,这些数据与 2006 年(年龄≥40 岁,n=729531 人)的死亡率随访相关联,用于开发寿命表。在 5 岁年龄组中,通过复杂的调查设计和权重来量化自我报告的健康状况(优秀、很好、好、一般、差)对生存的影响。通过外推建模的生存概率来估计预期寿命。
纳入健康状况的预期寿命与标准的美国寿命表有很大差异,并且因健康状况而异。较差的自我报告健康状况对年轻个体的生存影响更为显著,导致预期寿命大幅下降。在 40 岁时,报告健康状况差的白人男性与报告健康状况优秀的男性相比,死亡风险高 8.5 倍(95%CI:7.0,10.3),导致预期寿命相差 23 年(差:22 岁;优秀:45 岁),而在 80 岁时,风险比为 2.4(95%CI:2.1,2.8),预期寿命差异为 5 年(差:5 岁;优秀:10 岁)。与美国一般人群相比,健康状况差的成年人(年龄<65 岁)的预期寿命缩短了约 5-15 年。
由于自我报告的健康状况不佳,预期寿命存在相当大的缩短。该寿命表的开发可以通过纳入患者对自身健康的看法而有所帮助,并与临床决策中的其他预测模型一起使用,特别是对于健康状况不佳的年轻成年人,因为包括合并症的寿命表有限。