Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Mail Code: FM, Portland, OR, 97239, USA.
OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.
BMC Geriatr. 2024 Sep 20;24(1):777. doi: 10.1186/s12877-024-05329-y.
The impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset. The impact varies by age, race, ethnicity, socioeconomic status, and health indicators. Large scale longitudinal surveys linked to medical claims provide unique opportunities to characterize this variability.
We analyzed Medicare-linked Health and Retirement Study data for respondents 65 and older with 3 or more years of fee-for-service coverage (n = 17,199; 2000-2016). We applied standardized claims algorithms for operationalizing 21 chronic diseases. We compared multimorbidity levels, demographics, and outcomes at baseline and over time and escalation to high multimorbidity levels (≥ 5 conditions).
At baseline, 51.2% had no multimorbidity, 36.5% had multimorbidity, and 12.4% had high multimorbidity. Loss of function, cognitive decline, and higher healthcare utilization were up to ten times more prevalent in the high multimorbidity group. Greater rates of high multimorbidity were seen among non-Hispanic Black and Hispanic groups, those with lower wealth, younger birth cohorts, and adults with obesity. Rates of transition to high multimorbidity varied greatly and was highest among Hispanic and respondents with lower education.
The development and progression of multimorbidity in old age is influenced by many factors. Higher levels of multimorbidity are associated with sociodemographic characteristics, suggesting possible mitigation strategies.
多种疾病(≥2 种慢性疾病)对老年人的健康影响很大,但存在差异。多种疾病的负担因疾病的数量和种类以及发病时间而有所不同。其影响因年龄、种族、民族、社会经济地位和健康指标而异。大规模纵向调查与医疗索赔相结合,为描述这种变异性提供了独特的机会。
我们分析了 Medicare-linked Health and Retirement Study 数据,该数据针对年龄在 65 岁及以上、有 3 年以上收费服务覆盖(n=17199;2000-2016 年)的受访者。我们应用了标准化的索赔算法,用于操作 21 种慢性疾病。我们比较了基线和随时间推移的多种疾病水平、人口统计学特征和结果,并比较了向高多种疾病水平(≥5 种疾病)的进展情况。
基线时,51.2%的人没有多种疾病,36.5%的人有多病,12.4%的人有多病。在高多种疾病组中,功能丧失、认知能力下降和更高的医疗保健利用率高达十倍。非西班牙裔黑人和西班牙裔人群、财富较低的人群、较年轻的出生队列以及肥胖的成年人中,高多种疾病的发生率更高。向高多种疾病过渡的比例差异很大,在西班牙裔和受教育程度较低的受访者中最高。
多种疾病在老年期的发展和进展受到许多因素的影响。较高水平的多种疾病与社会人口特征有关,这表明可能存在缓解策略。