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Factors predicting high estimated 10-year stroke risk: thai epidemiologic stroke study
Suchat Hanchaiphiboolkul1, Pimchanok Puthkhao1, Somchai Towanabut1
1Prasat Neurological Institute, Department of Medical Services, Ministry of Public Health, Bangkok, Thailand.
Summary
Socioeconomic factors like unemployment and illiteracy, alongside traditional risks like age and hypertension, predict high stroke risk. Identifying these factors aids in early stroke risk assessment.
Area of Science:
- Epidemiology
- Public Health
- Cardiovascular Disease Research
Background:
- Stroke remains a leading cause of disability and death globally.
- Accurate prediction of 10-year stroke risk is crucial for preventive strategies.
- Understanding contributing factors is key to targeted interventions.
Purpose of the Study:
- To identify predictors of high 10-year stroke risk using a validated risk score.
- To determine the relative impact of different risk factors on estimated stroke risk.
Main Methods:
- Analysis of baseline data from the community-based Thai Epidemiologic Stroke study (N=16,611).
- Participants aged 45-69 years with no prior stroke history were included.
- Multiple logistic regression applied using the Japan Public Health Center Study risk score.
Main Results:
- High stroke risk associated with lower education, income, unemployment/house work, and hypercholesterolemia.
- Unemployed/house work (OR 3.75) and illiterate (OR 2.30) classes showed highest impact.
- Within the risk score, age, male sex, diabetes, systolic blood pressure, and smoking were most impactful.
Conclusions:
- Socioeconomic status indicators (unemployment, illiteracy) can serve as proxies for elevated stroke risk.
- Key modifiable and non-modifiable risk factors include age, sex, diabetes, hypertension, and smoking.
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