Risk Factors for Stroke in the Chinese Population: A Systematic Review and Meta-Analysis

Jing Wang1, Xin Wen1, Wen Li2

  • 1Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China; Collaborative Innovation Center of Chronic Disease Prevention and Control, Tianjin Medical University, Tianjin, China.

Insights

Hypertension and diabetes pose the highest stroke risks, differing significantly from other factors. Current screening methods may be impropriate by not accounting for varying risk factor strengths.

Area of Science:

  • Epidemiology
  • Public Health
  • Cardiovascular Disease Research

Background:

  • Stroke is a leading cause of mortality in China.
  • Existing screening identifies high-risk individuals based on 3+ of 8 assessed risk factors.
  • The study questions the uniform weighting of these risk factors.

Purpose of the Study:

  • To analyze the varying strengths of association for 8 major stroke risk factors in the Chinese Han population.
  • To evaluate the appropriateness of current stroke screening methodologies that assign equal weight to all risk factors.

Main Methods:

  • Systematic literature search of case-control and cohort studies (1990-2015).
  • Inclusion of studies reporting on stroke risk factor frequency in Chinese Han populations.
  • Calculation of pooled odds ratios and relative risks with 95% confidence intervals.

Main Results:

  • Hypertension identified as the strongest independent stroke risk factor (OR: 3.50, RR: 2.68).
  • Diabetes mellitus, heart disease, family history, hyperlipidemia, overweight, and smoking showed moderate predictive value (OR: 1.82-2.68, RR: 1.27-2.47).
  • Physical exercise demonstrated a protective effect against stroke (OR: 0.49).

Conclusions:

  • Significant differences exist in the association strength of stroke risk factors.
  • Hypertension and diabetes mellitus present the highest risks, necessitating focused resource allocation.
  • Equal weighting of risk factors in screening may be an inappropriate methodology.
Abstract

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