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Cardiometabolic multimorbidity and frailty in middle-aged and older adults: a cross-nationally harmonized study
Kunyan Zhou1, Ao Wang1, Ke Yi1
1Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
Insights
Multiple cardiometabolic diseases significantly worsen frailty in older adults. Stroke has the most profound effect, underscoring the need for early intervention to manage these conditions and their impact on aging populations.
Area of Science:
- Gerontology
- Cardiology
- Public Health
Background:
- Cardiometabolic diseases (CMD) are common in aging populations.
- CMD are closely associated with frailty.
- The cumulative effect of multiple CMD on frailty is not well understood.
Purpose of the Study:
- To investigate the correlation between the number of cardiometabolic diseases and frailty severity.
- To analyze the impact of specific cardiometabolic diseases on frailty.
Main Methods:
- Utilized data from four international cohorts (HRS, CHARLS, ELSA, SHARE).
- Assessed frailty using a standardized frailty index.
- Employed linear regression models to determine associations between CMD and frailty.
Main Results:
- Increased number of CMD significantly correlated with higher frailty index scores.
- Stroke demonstrated the most substantial impact on frailty severity.
- The presence of multiple CMD amplified frailty symptoms.
Conclusions:
- Multiple cardiometabolic diseases have a compounded, significant negative impact on frailty.
- Early intervention strategies are crucial for managing CMD and mitigating frailty in older adults.
Background:
Cardiometabolic diseases are prevalent among ageing populations and have a close association with frailty. However, the cumulative impact multiple cardiometabolic diseases have on frailty remains underexplored.
Methods:
This study used data from four international cohorts - HRS, CHARLS, ELSA and SHARE - to examine the correlation between frailty and cardiometabolic diseases (CMD). The frailty index was used for assessing frailty and statistical analyses were performed as a means of analysing the correlation between the number of cardiometabolic conditions and frailty severity. Linear regression models were employed to evaluate the associations between CMD and frailty severity.
Results:
The study found that as the number of cardiometabolic diseases increased, the frailty index rose significantly [one disease, β = 7.80 (95% CI: 7.70 to 7.90) p < 0.05; two diseases, β = 17.92 (95% CI: 17.76 to 18.08) p < 0.05; three diseases, β = 28.79 (95% CI: 28.41 to 29.17) p < 0.05]. Stroke was found to have the most pronounced impact on frailty (β = 12.34 [95%CI 12.20 to 12.48] p < 0.05) and the coexistence of multiple conditions served to amplify the symptoms of frailty.
Conclusion:
This study highlights the compounded impact multiple cardiometabolic diseases have on frailty and also emphasizes the necessity for early intervention.
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