Prevalence and patterns of multimorbidity among the elderly in China: a cross-sectional study using national survey data

• Main Authors: Ran Zhang, Yun Lu, Liuyan Shi, Songlin Zhang, Feng Chang
• Format: Article
• Language: English
• Published: BMJ Publishing Group 2019-08-01
• Series: BMJ Open
• Online Access: https://bmjopen.bmj.com/content/9/8/e024268.full

ObjectivesExamination of the prevalence and patterns of multimorbidity among the elderly in China.DesignCross-sectional study.SettingMore than 10 000 households in 28 of the 34 provinces of mainland China.Participants11 707 Chinese adults aged 60 and over.Primary outcome measuresPrevalence and patterns of multimorbidity among the participants. Relative risks were calculated to estimate the probability of up to 14 chronic conditions coexisting with each other. Observed-to-expected (O/E) ratios were used to analyse the patterns of multimorbidity.ResultsMultimorbidity was present in 43.6% of respondents from the sample population, with women having the greater prevalence compared with men. There were 804 different comorbidity combinations identified, including 76 dyad combinations and 169 triad combinations. The top 10 morbidity dyads and triads accounted for 69.01% and 47.05% of the total dyad and triad combinations observed, respectively. Among the 14 chronic conditions included in the study, asthma, stroke, heart attack and six other chronic conditions were the main components of multimorbidity due to their high relative risk ratios. The most frequently occurring clusters with higher O/E ratios were stroke along with emotional, nervous, or psychiatric problems; memory-related diseases together emotional, nervous, or psychiatric problems; and memory-related diseases and asthma accompanied by chronic lung diseases and asthma.ConclusionsThe results of this study highlight the high prevalence of multimorbidity in the elderly population in China. Further studies are required to understand the aetiology of multimorbidity, and future primary healthcare policies should be made while taking multimorbidity into consideration.