.png){kind=icon}
返回
Rethinking morbidity compression
.png){kind=icon}
OA
AI
DOI：10.1007/s10654-020-00642-3.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Studies of morbidity compression routinely report the average number of years spent in an unhealthy state but do not report variation in age at morbidity onset. Variation was highlighted by Fries (1980) as crucial for identifying disease postponement. Using incidence of first hospitalization after age 60, as one working example, we estimate variation in morbidity onset over a 27-year period in Denmark. Annual estimates of first hospitalization and the population at risk for 1987 to 2014 were identified using population-based registers. Sex-specific life tables were constructed, and the average age, the threshold age, and the coefficient of variation in age at first hospitalization were calculated. On average, first admissions lasting two or more days shifted towards older ages between 1987 and 2014. The average age at hospitalization increased from 67.8 years (95% CI 67.7-67.9) to 69.5 years (95% CI 69.4-69.6) in men, and 69.1 (95% CI 69.1-69.2) to 70.5 years (95% CI 70.4-70.6) in women. Variation in age at first admission increased slightly as the coefficient of variation increased from 9.1 (95% CI 9.0-9.1) to 9.9% (95% CI 9.8-10.0) among men, and from 10.3% (95% CI 10.2-10.4) to 10.6% (95% CI 10.5-10.6) among women. Our results suggest populations are ageing with better health today than in the past, but experience increasing diversity in healthy ageing. Pensions, social care, and health services will have to adapt to increasingly heterogeneous ageing populations, a phenomenon that average measures of morbidity do not capture.
Keyword:
Morbidity compression
Ageing and health
Age at morbidity onset
Hospital admission
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
3.7K
被引数:
1.6W
机构
引用论文
Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients从覆盖620万名患者的全人群登记数据中总结出的时间疾病轨迹.png)
NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Divergence in Age Patterns of Mortality Change Drives International Divergence in Lifespan Inequality死亡率变化的年龄模式差异推动了寿命不平等的国际差异DEMOGRAPHY
OAAI
DEMOGRAPHYIF3.6
OAAI分享收藏The Danish National Patient Registry: a review of content, data quality, and research potential丹麦国家患者登记处: 内容，数据质量和研究潜力的回顾OAAI
OAAI分享收藏分享收藏
查看更多内容