Arshadipour Ava, Thorand Barbara, Linkohr Birgit, Ladwig Karl-Heinz, Heier Margit, Peters Annette
Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany.
Institute for Medical Information Processing Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany.
Front Nutr. 2023 Mar 27;10:1146442. doi: 10.3389/fnut.2023.1146442. eCollection 2023.
The coexistence of several chronic diseases is very common in older adults, making it crucial to understand multimorbidity (MM) patterns and associated mortality. We aimed to determine the prevalence of MM and common chronic disease combinations, as well as their impact on mortality in men and women aged 65 years and older using the population-based KORA-Age study, based in South of Germany. The chronic disease status of the participants was determined in 2008/9, and mortality status was followed up until 2016. MM was defined as having at least two chronic diseases. We used Cox proportional hazard models to calculate the hazard ratios (HRs) and the 95% confidence intervals (CIs) for associations between MM and all-cause mortality. During the study period 495 men (24.6%) and 368 women (17.4%) died. Although the MM prevalence was almost the same in men (57.7%) and women (60.0%), the overall effect of MM on mortality was higher in men (HR: 1.81, 95% CI: 1.47-2.24) than in women (HR: 1.28, 95% CI: 1.01-1.64; -value for interaction <0.001). The type of disease included in the MM patterns had a significant impact on mortality risk. For example, when both heart disease and diabetes were included in the combinations of two and three diseases, the mortality risk was highest. The risk of premature death does not only depend on the number of diseases but also on the specific disease combinations. In this study, life expectancy depended strongly on a few diseases, such as diabetes, hypertension, and heart disease.
多种慢性病共存在老年人中非常常见,因此了解多病共患(MM)模式及其相关死亡率至关重要。我们旨在利用德国南部基于人群的KORA-Age研究,确定65岁及以上男性和女性中MM及常见慢性病组合的患病率,以及它们对死亡率的影响。参与者的慢性病状况于2008/2009年确定,死亡率状况随访至2016年。MM被定义为患有至少两种慢性病。我们使用Cox比例风险模型来计算MM与全因死亡率之间关联的风险比(HRs)和95%置信区间(CIs)。在研究期间,495名男性(24.6%)和368名女性(17.4%)死亡。尽管男性(57.7%)和女性(60.0%)的MM患病率几乎相同,但MM对死亡率的总体影响在男性中(HR:1.81,95%CI:1.47 - 2.24)高于女性(HR:1.28,95%CI:1.01 - 1.64;交互作用P值<0.001)。MM模式中包含的疾病类型对死亡风险有显著影响。例如,当两种和三种疾病的组合中同时包含心脏病和糖尿病时,死亡风险最高。过早死亡的风险不仅取决于疾病的数量,还取决于特定的疾病组合。在这项研究中,预期寿命在很大程度上取决于少数几种疾病,如糖尿病、高血压和心脏病。