2022
108 citations Research paper

“Give me a break!” A systematic review and meta-analysis on the efficacy of micro-breaks for increasing well-being and performance

Patricia Albulescu, Irina Macsinga, Andrei Rusu, Coralia Șulea, Alexandra Bodnaru, Bogdan Tudor Tulbure

Abstract

Recovery activities during short breaks taken between work tasks are solutions for preventing the impairing effects of accumulated strain. No wonder then that a growing body of scientific literature from various perspectives emerged on this topic. The present meta-analysis is aimed at estimating the efficacy of micro-breaks in enhancing well-being (vigor and fatigue) and performance, as well as in which conditions and for whom are the micro-breaks most effective. We searched the existent literature on this topic and aggregated the existing data from experimental and quasi-experimental studies. The systematic search revealed 19 records, which resulted in 22 independent study samples (N = 2335). Random-effects meta-analyses shown statistically significant but small effects of micro-breaks in boosting vigor (d = .36, p < .001; k = 9, n = 913), reducing fatigue (d = .35, p < .001; k = 9, n = 803), and a non-significant effect on increasing overall performance (d = .16, p = .116; k = 15, n = 1132). Sub-groups analyses on performance types revealed significant effects only for tasks with less cognitive demands. A meta-regression showed that the longer the break, the greater the boost was on performance. Overall, the data support the role of micro-breaks for well-being, while for performance, recovering from highly depleting tasks may need more than 10-minute breaks. Therefore, future studies should focus on this issue.

Topics

Climate Change and Health Impacts Healthcare professionals’ stress and burnout Sport Psychology and Performance

Categories

General Health Professions Health Professions Health Sciences

Tags

Biochemistry Bioinformatics Biology Boosting (machine learning) Cognition Computer science Effects of sleep deprivation on cognitive performance Internal medicine Machine learning Medicine MEDLINE Meta-analysis Psychiatry Psychology Publication bias Random effects model Social psychology Systematic review Wonder
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