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16年来台湾老年人的多重疾病模式趋势及其与死亡率的关系。

Trends of Multimorbidity Patterns over 16 Years in Older Taiwanese People and Their Relationship to Mortality.

作者信息

Ho Hsin-En, Yeh Chih-Jung, Wei James Cheng-Chung, Chu Wei-Min, Lee Meng-Chih

机构信息

Institute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.

Department of Family Medicine, Taichung Armed Forces General Hospital, Taichung 41152, Taiwan.

出版信息

Int J Environ Res Public Health. 2022 Mar 11;19(6):3317. doi: 10.3390/ijerph19063317.

DOI:10.3390/ijerph19063317
PMID:35329003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8950835/
Abstract

Understanding multimorbidity patterns is important in finding a common etiology and developing prevention strategies. Our aim was to identify the multimorbidity patterns of Taiwanese people aged over 50 years and to explore their relationship with health outcomes. This longitudinal cohort study used data from the Taiwan Longitudinal Study on Aging. The data were obtained from wave 3, and the multimorbidity patterns in 1996, 1999, 2003, 2007, and 2011 were analyzed separately by latent class analysis (LCA). The association between each disease group and mortality was examined using logistic regression. Four disease patterns were identified in 1996, namely, the cardiometabolic (18.57%), arthritis-cataract (15.61%), relatively healthy (58.92%), and multimorbidity (6.9%) groups. These disease groups remained similar in the following years. After adjusting all the confounders, the cardiometabolic group showed the highest risk for mortality (odds ratio: 1.237, 95% confidence interval: 1.040-1.472). This longitudinal study reveals the trend of multimorbidity among older adults in Taiwan for 16 years. Older adults with a cardiometabolic multimorbidity pattern had a dismal outcome. Thus, healthcare professionals should put more emphasis on the prevention and identification of cardiometabolic multimorbidity.

摘要

了解共病模式对于找出共同病因和制定预防策略至关重要。我们的目的是确定50岁以上台湾民众的共病模式,并探讨其与健康结局的关系。这项纵向队列研究使用了台湾老年纵向研究的数据。数据取自第3波,通过潜在类别分析(LCA)分别分析了1996年、1999年、2003年、2007年和2011年的共病模式。使用逻辑回归检验每个疾病组与死亡率之间的关联。1996年确定了四种疾病模式,即心脏代谢组(18.57%)、关节炎 - 白内障组(15.61%)、相对健康组(58.92%)和共病组(6.9%)。在接下来的几年中,这些疾病组保持相似。在调整所有混杂因素后,心脏代谢组显示出最高的死亡风险(优势比:1.237,95%置信区间:1.040 - 1.472)。这项纵向研究揭示了台湾老年人16年来共病的趋势。患有心脏代谢共病模式的老年人结局不佳。因此,医疗保健专业人员应更加重视心脏代谢共病的预防和识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/0aa5175f711b/ijerph-19-03317-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/4d1187a3d781/ijerph-19-03317-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/8944d35c76be/ijerph-19-03317-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/cb63a882c71d/ijerph-19-03317-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/3b97849eada2/ijerph-19-03317-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/c17c320348ab/ijerph-19-03317-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/0aa5175f711b/ijerph-19-03317-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/4d1187a3d781/ijerph-19-03317-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/8944d35c76be/ijerph-19-03317-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/cb63a882c71d/ijerph-19-03317-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/3b97849eada2/ijerph-19-03317-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/c17c320348ab/ijerph-19-03317-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f448/8950835/0aa5175f711b/ijerph-19-03317-g006.jpg

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