Stroke Risk Factors in Bangladesh from Multi-Center Case-Control Study

A matched case-control study from Bangladesh investigates independent risk factors for stroke, including hypertension and prior COVID-19 infection, and quantifies their public health impact using population attributable fractions. The dataset, authored by Zeeba Zahra Sultana, was last updated in March 2026 and is stored in a 44.8 KB DTA file.

Use Cases

• Calculate population attributable fractions for identified risk factors like hypertension to quantify public health impact.
• Analyze the interplay between traditional metabolic factors and contemporary risks such as prior COVID-19 infection.
• Model the independent association of hypertension and COVID-19 history with stroke occurrence in a matched case-control design.

Strengths

• Focuses on a high-burden region with limited prior evidence, specifically Bangladesh.
• Examines the interplay between traditional metabolic and contemporary viral risk factors.
• Employs a multi-center matched case-control study design to identify independent risk factors.

Limitations

• The dataset is very small at 44.8 KB, indicating limited scope and likely a small sample size.
• Specific column names, row counts, and sample data are unavailable, hindering detailed assessment of structure.

Provenance

Source

Zeeba Zahra Sultana via figshare.

Collection Method

Multi-center matched case-control study.

Time Range

null

Freshness

Last updated March 2026.

Geography

Bangladesh.