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Related Experiment Video

Updated: Oct 11, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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Resident physicians physical activity during on-call shifts: smartphone-based assessment.

R Ben-David1, Z Savin1, H Herzberg1

  • 1Department of Urology, Tel Aviv Sourasky Medical Center, affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Occupational Medicine (Oxford, England)
|December 5, 2021
PubMed
Summary

Resident physicians (RPs) walk an average of 12,118 steps per 26-hour on-call shift. Smartphone pedometers offer a reliable method to quantify physical activity and workload for RPs.

Keywords:
Internship and residencyoccupational burnoutoccupational healthsmartphones

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Area of Science:

  • Medical Education
  • Occupational Health
  • Sports Medicine

Background:

  • Assessing physical activity in resident physicians (RPs) during on-call shifts presents objective evaluation challenges.
  • Smartphone integration offers a potential solution for quantitative assessment via pedometric analysis.

Purpose of the Study:

  • To quantify the number of steps RPs walk during on-call shifts using smartphone-based pedometers.
  • To utilize step counts as a measurable marker of physical activity.

Main Methods:

  • 100 RPs' smartphone step data were collected over 17 months (Jan 2018-May 2019).
  • A 26-hour shift comprised a regular workday followed by an in-house on-call period.
  • Statistical analysis involved mixed-effects models and Fisher exact test (P < 0.05 significance).

Main Results:

  • Average walking distance was 12,118 steps (8.6 km) per RP per shift.
  • Pediatric intensive care and neurosurgery residents logged the most steps (16,347 and 15,630), while radiology residents logged the fewest (4,718).
  • Physically active RPs walked significantly more than less active RPs (12,527 vs. 11,384 steps); weekday shifts involved more steps than weekend shifts.

Conclusions:

  • Smartphone pedometers effectively analyze physical activity and workload during on-call shifts.
  • This data is valuable for human resources, occupational health, and medical students selecting specialties.