Geriatrician in Winnipeg and Associate Professor at the University of Manitoba.
Epidemiologist and Associate Professor at the University of Waterloo in Ontario.
Can Fam Physician. 2019 Feb;65(2):e56-e63.
To determine if multimorbidity is associated with functional status, and to assess if multimorbidity predicts declining functional status over a 5-year time frame, after accounting for baseline functional status and other potential confounding factors.
Analysis of an existing population-based cohort study.
Manitoba.
Community-dwelling adults aged 65 and older.
Age, sex, education, and the Mini-Mental State Examination (MMSE) and Center for Epidemiological Studies Depression Scale (CES-D) scores were recorded for each patient. Multimorbidity was measured using a simple tally of self-reported diseases. Function was measured using the Older Americans Resources and Services scale in 1991 to 1992 and again 5 years later. Good or excellent level of function was compared with level of disability (mild or moderate or higher). Cross-sectional and prospective analyses were conducted.
In a cross-sectional analysis, multimorbidity predicted disability. The unadjusted odds ratio (OR) (95% CI) for disability was 1.45 (1.39 to 1.52) for each additional chronic illness. In models adjusting for age, sex, education, and MMSE and CES-D scores, the adjusted OR (95% CI) was 1.35 (1.29 to 1.42) for each additional chronic illness. Multimorbidity also predicted disability 5 years later. The unadjusted OR (95% CI) was 1.31 (1.24 to 1.38). In models adjusting for age, sex, education, and MMSE and CES-D scores in addition to baseline functional status, the adjusted OR (95% CI) was 1.15 (1.09 to 1.24).
Multimorbidity predicts disability in cross-sectional and prospective analyses.
确定多种疾病是否与功能状态相关,并评估在考虑基线功能状态和其他潜在混杂因素后,多种疾病是否在 5 年内预测功能状态下降。
对现有的基于人群的队列研究进行分析。
马尼托巴省。
年龄在 65 岁及以上、居住在社区的成年人。
为每位患者记录年龄、性别、教育程度以及简易精神状态检查(MMSE)和流行病学研究中心抑郁量表(CES-D)评分。多种疾病使用自我报告疾病的简单计数来衡量。功能使用 1991 年至 1992 年和 5 年后的老年人资源和服务量表(OARS)进行测量。良好或优秀的功能水平与残疾(轻度或中度或更高)进行比较。进行了横断面和前瞻性分析。
在横断面分析中,多种疾病预测残疾。未经调整的优势比(OR)(95%置信区间)每增加一种慢性疾病,残疾的 OR 为 1.45(1.39 至 1.52)。在调整年龄、性别、教育程度以及 MMSE 和 CES-D 评分的模型中,每增加一种慢性疾病,调整后的 OR(95%置信区间)为 1.35(1.29 至 1.42)。多种疾病也预测了 5 年后的残疾。未经调整的 OR(95%置信区间)为 1.31(1.24 至 1.38)。在调整年龄、性别、教育程度以及 MMSE 和 CES-D 评分以及基线功能状态的模型中,调整后的 OR(95%置信区间)为 1.15(1.09 至 1.24)。
在横断面和前瞻性分析中,多种疾病预测残疾。