Department of Community Health Sciences, 12359University of Manitoba, Winnipeg, MB, Canada.
J Aging Health. 2022 Oct;34(6-8):929-938. doi: 10.1177/08982643221080287. Epub 2022 Mar 24.
This study identified different multimorbidity patterns among adults with subjective cognitive decline (SCD) and examined their association with SCD-related functional difficulties.
Data were obtained from the 2019 Behavioral Risk Factor Surveillance System. Latent class analysis was applied to identify different patterns of chronic conditions. Logistic regression was implemented to examine relationships between multimorbidity patterns and risk of SCD-related functional difficulties.
Five multimorbidity patterns were identified: severely impaired (14.6%), respiratory/depression (18.2%), obesity/diabetes (18.6%), age-associated (22.3%), and minimal chronic conditions group (26.3%). Compared with minimal chronic conditions group, severely impaired group was most likely to report SCD-related functional difficulties, followed by respiratory/depression and obesity/diabetes group.
Individuals in the three multimorbidity groups had elevated risk of SCD-related functional difficulties compared with minimal chronic conditions group. Characteristics of the high-risk groups identified in this study may help in development and implementation of interventions to prevent serious consequences of having multiple chronic conditions.
本研究旨在识别主观认知衰退(SCD)成年人的不同多重疾病模式,并探讨其与 SCD 相关功能障碍的关系。
数据来自 2019 年行为风险因素监测系统。采用潜在类别分析识别慢性疾病的不同模式。采用逻辑回归检验多重疾病模式与 SCD 相关功能障碍风险之间的关系。
确定了五种多重疾病模式:严重受损(14.6%)、呼吸/抑郁(18.2%)、肥胖/糖尿病(18.6%)、年龄相关(22.3%)和最小慢性疾病组(26.3%)。与最小慢性疾病组相比,严重受损组最有可能报告 SCD 相关功能障碍,其次是呼吸/抑郁和肥胖/糖尿病组。
与最小慢性疾病组相比,这三个多重疾病组发生 SCD 相关功能障碍的风险增加。本研究中确定的高风险组的特征可能有助于制定和实施干预措施,以预防多种慢性疾病的严重后果。