Author:
Chen Shimin,Wang Shengshu,Jia Wangping,Han Ke,Song Yang,Liu Shaohua,Li Xuehang,Liu Miao,He Yao
Abstract
BackgroundMultimorbidity presents an enormous problem to societal and healthcare utilization under the context of aging population in low- and middle-income countries (LMICs). Currently, systematic studies on the profile of multimorbidity and its characteristics among Chinese elderly are lacking. We described the temporal and spatial trends in the prevalence of multimorbidity and explored chronological changes of comorbidity patterns in a large elderly population survey.MethodsData were extracted from the Chinese Longitudinal Healthy Longevity Study (CLHLS) conducted between 1998 and 2018 in a random selection of half of the counties and city districts. All the elderly aged 65 and older were included in the survey of eight waves. We used 13 investigated chronic diseases to measure the prevalence of multimorbidity by means of geography, subpopulation, and chronological changes. The patterns of multimorbidity were assessed by computing the value of relative risk (RR indicates the likelihood of certain diseases to be associated with multimorbidity) and the observed-to-expected ratio (O/E indicates the likelihood of the coexistence of a multimorbidity combination).ResultsFrom 1998 to 2018, the prevalence of multimorbidity went from 15.60 to 30.76%, increasing in the fluctuation across the survey of eight waves (pfor trend = 0.020). Increasing trends were observed similarly in a different gender group (pmale = 0.009; pfemale = 0.004) and age groups among female participants (p~80 = 0.009; p81−90 = 0.004; p91−100 = 0.035; p101~ = 0.018). The gap in the prevalence of multimorbidity between the north and the south was getting narrow across the survey of eight waves. Hypertension was the highest prevalent chronic condition while diabetes was most likely to coexist with other chronic conditions in the CLHLS survey. The most frequently occurring clusters were hypertension and heart disease, hypertension and cataract, and hypertension and chronic lung disease. And, the cancer, TB, and Parkinson's disease cluster took the domination of O/E rankings over time, which had a higher probability of coexistence in all the multimorbidity combinations.ConclusionsThe prevalence of multimorbidity has been increasing nationwide, and more attention should be paid to a rapid growth in the southern part of China. It demands the effective diagnosis and treatment adopted to the highly prevalent comorbidities, and strategies and measures were adjusted to strongly relevant clusters.
Reference58 articles.
1. New horizons in multimorbidity in older adults;Yarnall;Age Ageing.,2017
2. Social inequalities in multimorbidity, frailty, disability, and transitions to mortality: a 24-year follow-up of the Whitehall II cohort study;Dugravot;Lancet Public Health.,2020
3. Multimorbidity and quality of life: systematic literature review and meta-analysis;Makovski;Ageing Res Rev.,2019
4. Frailty and multimorbidity: a systematic review and meta-analysis;Vetrano;J Gerontol Ser A Biol Sci Med Sci.,2019
5. Multimorbidity, function, and cognition in aging;Kadambi;Clin Geriatr Med.,2020
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献