Data Sheet 1_Lifestyle consequences for rescue workers in public health emergencies: a cro

A cross-sectional online survey collected 1,052 valid responses from rescue workers in China between February 23 and March 9, 2020. The dataset, authored by Qiao Chen and published on figshare, compares lifestyle behaviors and mental health status before and after a major public health emergency. It includes self-reported data on smoking, alcohol use, mobile phone use, physical activity, work hours, sleep quality, and scores from the PHQ-9 and GAD-7 scales.

Use Cases

• Analyze correlations between lifestyle changes and mental health scores based on PHQ-9 and GAD-7 assessments.
• Model risk factors for psychological distress based on reported changes in smoking, alcohol use, and sleep quality.
• Compare pre- and post-outcome behavioral metrics like physical activity levels and mobile phone use duration.
• Stratify analysis of occupational impacts based on participant living status and age group variables.

Strengths

• Contains 1,052 valid survey responses, providing a substantive sample size.
• Includes specific quantified outcomes, such as a 13.98% increase in smoking among smokers and a median rise in mobile phone use from 2 to 3 hours per day.
• Assesses mental health using standardized clinical instruments (PHQ-9 and GAD-7 scales).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to a single survey conducted in China during a specific two-week period in 2020.

Provenance

Source

Qiao Chen via figshare.

Collection Method

Cross-sectional online survey using a retrospective design.

Time Range

Survey conducted between February 23 and March 9, 2020; data compares pre- and post-outbreak periods.

Freshness

Last updated 2026-03-18 07:39:02; freshness should be verified.

Geography

Data collected from rescue workers in a designated unit in China.