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利用该研究项目的数据估算成年期多种慢性病的患病率。

Estimated prevalence of multiple chronic conditions throughout adulthood using data from the Research Program.

作者信息

Li Xintong, Dreisbach Caitlin, Gustafson Carolina M, Murali Komal Patel, Koleck Theresa A

机构信息

Goergen Institute for Data Science, University of Rochester, Rochester, NY, USA.

School of Nursing, University of Rochester, Rochester, NY, USA.

出版信息

medRxiv. 2024 Oct 18:2024.10.17.24315661. doi: 10.1101/2024.10.17.24315661.

Abstract

Estimation of multiple chronic condition (MCC) prevalence throughout adulthood provides a critical reflection of MCC burden. We analyzed electronic health record codes for 58 conditions to estimate MCC prevalence for () Research Program adult participants (N=242,828). Approximately 76% of participants were diagnosed with MCCs, with over 40% having 6 or more conditions and prevalence increasing with age; the most frequently occurring MCC combinations varied by age category (i.e., mental health conditions in early adulthood and physical health conditions in middle adulthood through advanced old age). We report notable prevalence of MCC throughout adulthood and variability in MCC condition combinations by age category in participants. These findings highlight the need for targeted, innovative care modalities and population health initiatives to address MCC burden throughout adulthood.

摘要

对整个成年期多种慢性病(MCC)患病率的估计能关键反映MCC负担。我们分析了58种疾病的电子健康记录编码,以估算()研究项目成年参与者(N = 242,828)的MCC患病率。约76%的参与者被诊断患有MCC,超过40%的人患有6种或更多疾病,且患病率随年龄增长而上升;最常出现的MCC组合因年龄类别而异(即成年早期为心理健康状况,从中年到高龄为身体健康状况)。我们报告了整个成年期MCC的显著患病率以及参与者中MCC疾病组合按年龄类别的变异性。这些发现凸显了需要有针对性的、创新的护理模式和人群健康举措来应对整个成年期的MCC负担。

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