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Impact of cardiometabolic index change on stroke risk in Chinese middle-aged and elderly: a prospective study
Mei Tian1, Xiaoyan Ma1, Jianxi Liu1
1School of Public Health, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, China.
Insights
Increasing cardiometabolic index (CMI) is linked to a higher risk of stroke in older Chinese adults. This study highlights the importance of monitoring CMI changes for stroke prevention strategies.
Area of Science:
- Cardiovascular Health
- Gerontology
- Public Health
Background:
- Limited data exists on the association between cardiometabolic index (CMI) changes and stroke incidence.
- Understanding this relationship is crucial for developing targeted preventive measures.
Purpose of the Study:
- To investigate the correlation between changes in cardiometabolic index (CMI) and the occurrence of stroke.
- Focus on middle-aged and elderly individuals in China.
Main Methods:
- Utilized data from the China Health and Retirement Longitudinal Study (CHARLS) with individuals aged 45 and above.
- Calculated CMI changes over a defined period and categorized participants into 'loss', 'stable', and 'gain' groups based on CMI trends.
- Followed participants from 2015 to 2020 to record stroke events.
Main Results:
- A total of 4,365 participants were analyzed, with 356 (8.2%) experiencing stroke.
- Both the 'stable' (OR=1.503) and 'gain' (OR=1.528) CMI change groups showed significantly higher odds of stroke compared to the 'loss' group.
- A significant nonlinear relationship was identified between CMI changes and stroke risk (P<0.05).
Conclusions:
- Demonstrated a nonlinear, positive association between cardiometabolic index changes and stroke risk in Chinese older adults.
- Findings suggest that monitoring CMI fluctuations can aid in identifying high-risk individuals for stroke prevention.
- Results provide a basis for developing targeted interventions to mitigate stroke incidence.
Background:
Data regarding the cardiometabolic index (CMI) changes and stroke are limited. Thus, our objective was to investigate the correlation between CMI changes and stroke among middle-aged and elderly individuals in China.
Methods:
The China Health and Retirement Longitudinal Study (CHARLS) used a multistage stratified sampling approach to survey individuals aged 45 and above. Changes in CMI were calculated as the differences in CMI between 2015 and 2012 divided by the number of years. The lowest third of the CMI changes were negative and categorized as the 'loss' group; the middle third exhibited a steady increase and was classified as the 'stable' group; the top third showed positive changes and was categorized as the 'gain' group. Subsequently, we monitored the participants from 2015 to 2020.
Results:
Out of the 4,365 participants observed during the five-year follow-up period, 356 individuals (8.2%) developed stroke. Compared with the lowering group, the ratio (OR) for stroke in the stable group was 1.503 (95% CI: 1.096-2.061); the OR for stroke in the gain group was 1.528 (95% CI: 1.117-2.089). A nonlinear relationship was observed between CMI changes and stroke (Passociation<0.001, Pnonlinearity<0.05).
Conclusion:
Our findings indicate a nonlinear and positive association between CMI changes and stroke in Chinese middle-aged and older people, which can help to develop interventions to prevent stroke with strategies for high-risk groups.
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