Interview Participant Characteristics for Long COVID Physical Activity Study

Zoe Sirotiak's dataset contains characteristics and interview data from 34 adults in the United States with self-reported long COVID. The data includes perceived health scores and themes from a deductive thematic analysis on the impact of physical activity. The dataset was last updated on 2026-05-27 and is shared under a CC-BY-4.0 license.

Use Cases

• Analyze correlations between participant demographics and perceived health scores based on the described participant characteristics.
• Study themes of symptom worsening or improvement related to physical activity based on the reported thematic analysis results.
• Investigate perceptions of external control and forced inactivity among long COVID patients based on the described interview themes.

Strengths

• Includes data from 34 adult participants with a mean age of 52 years and 62% women.
• Provides specific quantitative results, including that 64.7% of participants reported symptom worsening with physical activity.
• Contains qualitative themes derived from semi-structured interviews using deductive thematic analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Zoe Sirotiak via figshare

Collection Method

Semi-structured interviews analyzed via deductive thematic analysis.

Freshness

Last updated 2026-05-27 17:32:21; freshness should be verified.

Geography

United States (U.S.)