Tufts School of Medicine, Department of Public Health and Community Medicine, 136 Harrison Village, Boston, MA 02111, USA.
Epidemiol Infect. 2010 Aug;138(8):1135-45. doi: 10.1017/S0950268809991506. Epub 2010 Jan 8.
Birth cohort has been shown to be related to morbidity and mortality from other diseases and conditions, yet little is known about the potential for birth cohort in its relation to pneumonia and influenza (P&I) outcomes. This issue is particularly important in older adults, who experience the highest disease burden and most severe complications from these largely preventable diseases. The objective of this analysis is to assess P&I patterns in US seniors with respect to age, time, and birth cohort. All Medicare hospitalizations due to P&I (ICD-9CM codes 480-487) were abstracted and categorized by single-year of age and influenza year. These counts were then divided by intercensal estimates of age-specific population levels extracted from the US Census Bureau to obtain age- and season-specific rates. Rates were log-transformed and linear models were used to assess the relationships in P&I rates and age, influenza year, and cohort. The increase in disease rates with age accounted for most of the variability by age and influenza season. Consistent relationships between disease rates and birth cohorts remained, even after controlling for age. Seasonal associations were stronger for influenza than for pneumonia. These findings suggest that there may be a set of unmeasured characteristics or events people of certain ages experienced contemporaneously that may account for the observed differences in P&I rates in birth cohorts. Further understanding of these circumstances and those resulting age and cohort groups most vulnerable to P&I may help to target health services towards those most at risk of disease.
出生队列与其他疾病和状况的发病率和死亡率有关,但人们对出生队列与肺炎和流感(P&I)结果之间的潜在关系知之甚少。这在老年人中尤为重要,因为他们患这些基本上可以预防的疾病的负担最高,并发症最严重。本分析的目的是评估美国老年人中与年龄、时间和出生队列有关的 P&I 模式。所有因 P&I(ICD-9CM 代码 480-487)住院的患者均被提取并按单一年龄和流感年份进行分类。然后,这些计数除以美国人口普查局提取的年龄特定人口水平的每十年估计数,以获得年龄和季节特异性比率。比率被对数转换,线性模型用于评估 P&I 比率与年龄、流感年份和队列之间的关系。疾病发生率随年龄的增加解释了大部分年龄和流感季节的变异性。即使在控制了年龄之后,疾病发生率与出生队列之间仍然存在一致的关系。与肺炎相比,流感的季节性关联更强。这些发现表明,可能存在一组未测量的特征或事件,某些年龄段的人同时经历了这些特征或事件,这可能解释了出生队列中 P&I 发生率的差异。进一步了解这些情况以及那些最容易受到 P&I 影响的年龄和队列群体,可能有助于将卫生服务针对那些最容易患病的人。