Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis
Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis
复制标题
DOI：
10.1016/j.jclinepi.2014.06.003
复制
发表时间：
2014-10-01
影响因子：
7.2
通讯作者：
Jordan, Kelvin P.
中科院分区：
文献类型：
--
作者：
Strauss, Vicky Y.;Jones, Peter W.;Jordan, Kelvin P.
目的：探讨潜在类别增长分析（LCGA）在了解老年人多Morphine发病和随时间变化中的应用。研究设计和设置：本研究使用初级保健咨询42共识定义的慢性病超过3年（2003-2005年），24 615名年龄在50岁以上的人在联合王国的10个普通诊所进行了调查，这些调查为初级保健咨询档案数据库提供了资料。使用LCGA确定了随着时间的推移具有相似进展的不同人群。这些推导出的轨迹进行了测试，在另一个初级保健咨询数据集与链接的自我报告的健康状况。结果：五个集群的人代表不同的轨迹被确定：那些没有记录的慢性问题（40%），那些在3年内首次出现慢性疾病的人（10%），发展中的多发病组（37%），一组慢性病发病率增加（12%），一组慢性病发病率增加（1%）。这些轨迹也确定了使用另一个咨询数据库和自我报告的身体和精神health.Conclusion：有不同的轨迹，在初级保健人群，这是与健康状况不佳的发展multimorphine。未来的研究需要在评估疾病进展和健康恶化时纳入这些轨迹。(C)2014作者爱思唯尔公司出版All rights reserved.
Objectives: To investigate the use of latent class growth analysis (LCGA) in understanding onset and changes in multimorbidity over time in older adults.Study Design and Setting: This study used primary care consultations for 42 consensus-defined chronic morbidities over 3 years (2003-2005) by 24,615 people aged > 50 years at 10 UK general practices, which contribute to the Consultations in Primary Care Archive database. Distinct groups of people who had similar progression of multimorbidity over time were identified using LCGA. These derived trajectories were tested in another primary care consultation data set with linked self-reported health status.Results: Five clusters of people representing different trajectories were identified: those who had no recorded chronic problems (40%), those who developed a first chronic morbidity over 3 years (10%), a developing multimorbidity group (37%), a group with increasing number of chronic morbidities (12%), and a multi-chronic group with many chronic morbidities (1%). These trajectories were also identified using another consultation database and associated with self-reported physical and mental health.Conclusion: There are distinct trajectories in the development of multimorbidity in primary care populations, which are associated with poor health. Future research needs to incorporate such trajectories when assessing progression of disease and deterioration of health. (C) 2014 The Authors. Published by Elsevier Inc. All rights reserved.