Meta-analysis of Early Risk Factors Associated with Cerebrovascular Diseases

Sanam Preet Kour1, Himanshu Joshi2, Ratnakar Shukla1

  • 1Department of Clinical Research, Sharda School of Allied Health Sciences, Sharda University, Gautam Buddha Nagar, Uttar Pradesh, Greater Noida, 221310, India.

Insights

Early-life factors like high BMI, hypertension, and diabetes significantly increase cerebrovascular disease risk. Preventive strategies starting in childhood are crucial for reducing long-term disease burden.

Area of Science:

  • Neurology
  • Public Health
  • Epidemiology

Background:

  • Cerebrovascular diseases, including stroke, affect brain blood vessels and have significant mortality.
  • Modifiable and non-modifiable risk factors contribute to disease development.
  • Understanding early-life risk factors is crucial for effective prevention.

Purpose of the Study:

  • To systematically review and synthesize evidence on early-life risk factors for cerebrovascular diseases.
  • To identify statistically proven associations between early-life exposures and cerebrovascular events.

Main Methods:

  • Systematic literature search across PubMed, Medline, and Google Scholar for studies on early-life risk factors (childhood to adolescence).
  • Screening of articles based on PRISMA guidelines, including various study designs.
  • Quality and risk of bias assessment using a custom framework evaluating six domains.

Main Results:

  • Strong associations found between male gender, high blood pressure, smoking, high BMI, hypertension, and diabetes with cerebrovascular disease.
  • Elevated cholesterol and adverse childhood experiences showed a suggestive increased risk.
  • Low physical activity, low birth weight, and low IQ were not conclusively linked.

Conclusions:

  • Early-life modifiable factors (high BMI, hypertension, diabetes) significantly elevate cerebrovascular disease risk.
  • Preventive strategies targeting these factors from early life are essential.
  • Further research may clarify the role of factors like low physical activity and low IQ.
Abstract

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