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A field study of supplementary rest breaks for data-entry operators.
T L Galinsky1, N G Swanson, S L Sauter
1National Institute for Occupational Safety and Health, Taft Laboratories, Cincinnati, Ohio 45226, USA. tlg0@cdc.gov
Ergonomics
|July 6, 2000
Summary
Implementing supplementary rest breaks significantly reduced musculoskeletal discomfort and eyestrain in data-entry workers without impacting performance. This new break schedule offers a healthier work environment.
Area of Science:
- Occupational Health
- Ergonomics
- Human Factors Engineering
Background:
- Repetitive data-entry tasks can lead to musculoskeletal discomfort and eyestrain.
- Current conventional break schedules may not adequately mitigate these work-related health issues.
Purpose of the Study:
- To evaluate the impact of supplementary rest breaks on physical discomfort, eyestrain, mood, and performance in data-entry workers.
- To compare a conventional break schedule with a supplementary schedule offering more frequent, shorter breaks.
Main Methods:
- A within-subjects design was used, with 42 data-entry workers alternating between conventional and supplementary rest break schedules over 4-week intervals.
- The supplementary schedule included 5-minute microbreaks hourly, in addition to two 15-minute breaks.
- Data were collected on musculoskeletal discomfort, eyestrain, mood, and data-entry performance.
Main Results:
- Significant reductions in overall body discomfort and eyestrain were observed with the supplementary break schedule compared to the conventional one.
- Increases in symptoms from pre- to post-work were significantly lower under the supplementary schedule.
- Discomfort in the right forearm, wrist, and hand over a work week was eliminated with the supplementary schedule.
Conclusions:
- Supplementary rest breaks are effective in reducing work-related musculoskeletal discomfort and eyestrain among data-entry personnel.
- The enhanced break schedule improves worker well-being without compromising data-entry performance.
- This study suggests a more effective model for rest breaks in sedentary, repetitive work environments.