Nguyen Hai, Chua Kia-Chong, Dregan Alexandru, Vitoratou Silia, Bayes-Marin Ivet, Olaya Beatriz, Prina A Matthew
King's College London, UK.
Parc Sanitari Sant Joan de D Déu, Sant Boi de Llobregat, Spain.
J Aging Health. 2020 Oct;32(9):1120-1132. doi: 10.1177/0898264319891026. Epub 2019 Dec 1.
We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.
我们旨在确定老年人的多种疾病共患模式,并探讨其与社会人口学和生活方式风险因素之间的关联。样本包括来自英国老龄化纵向研究(ELSA)第二轮的9171名50岁及以上的人群。对26种慢性疾病进行了潜在类别分析(LCA),以确定个体内常见疾病的集群及其与社会人口学和生活方式风险因素的关联。确定了三个潜在类别:(a)心肺/关节炎/白内障类别,(b)代谢类别,以及(c)相对健康类别。70至79岁的人群被分配到心肺/关节炎/白内障类别的可能性是其他人群的9.91倍(95%置信区间[CI]=[5.13,19.13]),而经常饮酒者和缺乏身体活动的人被分配到该类别的可能性则降低了0.33倍(95%CI=[0.24,0.47])。未来的研究应进一步调查这些模式,以更深入地了解患有多种疾病的人群的需求。