Data Sheet 1_Association between short-term air pollution exposure and the risk of fatal r

From 2020 to 2023, this dataset analyzes the link between short-term air pollutant exposure and fatal recurrence within one year for 1,056 patients with first-episode acute hemorrhagic stroke in Zhenjiang City. It employs a time-stratified case-crossover design with 3,168 control days and conditional logistic regression. The study was authored by Xiaoyong Gu and shared on figshare under a CC-BY-4.0 license.

Use Cases

• Modeling the association between PM2.5/PM10 exposure and fatal stroke recurrence risk based on odds ratios and confidence intervals.
• Analyzing lag effects and dose-response relationships for pollutants like SO2 and NO2 mentioned in the results.
• Investigating effect modification by variables such as sex, age, and season through stratified analysis as described in the methods.

Strengths

• The study design includes 1,056 case days and 3,168 matched control days, providing a basis for statistical comparison.
• Results provide specific odds ratios and 95% confidence intervals for multiple pollutants (e.g., PM2.5 OR: 1.010, 95% CI: 1.007–1.013).
• Analysis includes multiple statistical dimensions: lag effects, dose-response relationships, and interaction among pollutants.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small at 22.7 KB, indicating limited scope, likely containing summary results rather than raw patient-level data.
• Geographic coverage is limited to Zhenjiang City, which may affect generalizability.

Provenance

Source

figshare, author Xiaoyong Gu

Collection Method

Time-stratified case-crossover study using conditional logistic regression on patient data from Zhenjiang City.

Time Range

2020 to 2023

Freshness

Last updated 2026-05-25 06:03:22; freshness should be verified.

Geography

Zhenjiang City, China