Data Sheet 1_Medical interns and health challenges: insights into physical inactivity, sle

Data Sheet 1_Medical interns and health challenges contains longitudinal observational data on 170 medical interns (18–25 years) from a Mexican public university hospital, assessed at baseline and after 12 months. The dataset includes anthropometric and body composition parameters from bioimpedance analysis, physical activity levels from the GPAQ, and sleep quality scores from the PSQI. It was authored by Ricardo Salas-Flores and last updated on 2026-03-18.

Use Cases

• Modeling changes in body composition metrics like body fat mass and skeletal muscle mass over time.
• Analyzing the relationship between physical activity levels and sleep quality scores.
• Investigating gender differences in health metric changes during medical internship.
• Training predictive models for identifying interns at risk of unfavorable health shifts.

Strengths

• Longitudinal design with measurements at baseline and 12-month follow-up.
• Includes data from 170 participants with a mean age of 22.9 years, 62.0% female.
• Uses standardized instruments: Global Physical Activity Questionnaire (GPAQ) and Pittsburgh Sleep Quality Index (PSQI).
• Effect sizes for group comparisons are reported (Cohen's d and Cramér's V).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single Mexican public university hospital, which may limit generalizability.

Provenance

Source

Ricardo Salas-Flores via figshare.

Collection Method

Longitudinal observational study using bioimpedance analysis and standardized questionnaires.

Time Range

Study period covers a 12-month internship year.

Freshness

Last updated 2026-03-18 06:57:52; freshness should be verified.

Geography

Data collected at a Mexican public university hospital.