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Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
Junning Fan1, Zhijia Sun1, Canqing Yu1,2
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Insights
Cardiometabolic and respiratory multimorbidity significantly increase mortality risk in Chinese adults. Each additional chronic disease further elevates this risk, highlighting the need for targeted interventions.
Area of Science:
- Public Health
- Epidemiology
- Gerontology
Background:
- Limited research exists on multimorbidity patterns and mortality in China.
- Understanding these patterns is crucial for public health strategies in aging populations.
Purpose of the Study:
- To identify multimorbidity patterns in Chinese adults.
- To examine the association between these patterns, disease count, and mortality risk.
Main Methods:
- Utilized data from 512,723 participants (aged 30-79) in the China Kadoorie Biobank.
- Defined multimorbidity as ≥2 of 15 chronic diseases.
- Employed hierarchical cluster analysis for pattern identification and Cox regression for mortality analysis.
Main Results:
- 15.8% of participants had multimorbidity, increasing with age and urban residence.
- Identified four patterns: cardiometabolic, respiratory, gastrointestinal/hepatorenal, and mental/arthritis.
- Cardiometabolic (HR=2.20) and respiratory (HR=2.13) multimorbidity showed the highest mortality risks. Each additional disease increased mortality risk by 36%.
Conclusions:
- Cardiometabolic and respiratory multimorbidity patterns present the greatest mortality risks in Chinese adults.
- These findings underscore the importance of focused attention and interventions for these specific conditions.
Background:
Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults.
Methods:
We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality.
Results:
Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease.
Conclusion:
Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
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