Post-COVID-19 Spirometry in High-Altitude Workers, 400 Participants

72.2% of 400 sea-level-born workers with confirmed COVID-19 and intermittent high-altitude exposure showed spirometric abnormalities in 2024. This cross-sectional study by Jair Alonso Góngora-Bendezú, published on figshare in 2026, assessed sociodemographic, clinical, and occupational variables to identify predictors of abnormal lung function. It includes only A/B-quality spirometry data from workers exposed to altitudes over 2500 meters.

Use Cases

• Modeling risk factors for post-COVID-19 spirometric abnormalities based on obesity, comorbidity index, and occupational exposure durations.
• Analyzing the association between years of inhalant exposure and restrictive or obstructive lung patterns.
• Studying the impact of intermittent high-altitude hypoxia on respiratory sequelae following severe COVID-19.

Strengths

• Data is focused on a specific and understudied occupational group of 400 workers.
• Includes only A/B-quality spirometry results from a specific year (2024), suggesting controlled data collection.
• Analysis provides specific adjusted prevalence ratios (aPR) for key predictors like obesity (aPR 1.35) and altitude exposure (aPR 1.81).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.
• The cross-sectional design limits causal inference about the observed associations.

Provenance

Source

figshare, author Jair Alonso Góngora-Bendezú.

Collection Method

Cross-sectional study conducted on workers with confirmed COVID-19, using Poisson regression with robust variance for analysis.

Time Range

Spirometry data from 2024.

Freshness

Last updated 2026-05-18 17:30:39; freshness should be verified.

Geography

Study involved workers intermittently exposed to altitudes >2500 m; specific geographic location is not stated.