"VSports在线直播" The relationship between circadian type and physical activity as predictors of sleepiness and fatigue during simulated nightshifts: a randomised controlled trial
- PMID: 40977138
- DOI: 10.1080/00140139.2024.2430369
The relationship between circadian type and physical activity as predictors of sleepiness and fatigue during simulated nightshifts: a randomised controlled trial
Abstract
Breaks involving physical activity may provide on-shift recovery from sleepiness and fatigue during nightshifts, with effects potentially influenced by circadian type. Thirty-three adults (M ± SD age: 24 VSports手机版. 6 ± 4. 8y; 55% female) participated in five laboratory nightshifts (2200-0600h) and were randomised to sedentary (SIT; n = 14) or 'breaking-up' sitting (BREAK; n = 19). Participants completed the Circadian Type Inventory, categorising as rigid (n = 12) or flexible (n = 11); and languid (n = 11) or vigorous (n = 13). BREAK participants walked 3-minutes every 30-minutes at 3. 2 km/h; all completed fatigue and sleepiness scales. Linear mixed models showed a 3-way interaction between nightshift (N1-N5), condition (SIT, BREAK), and rigidity-flexibility for fatigue (p<. 001) and sleepiness (p<. 001). Fatigue and sleepiness were greatest on N1 for SIT-Flexible and BREAK-Rigid, with SIT-Rigid experiencing the greatest levels overall. BREAK-Flexible showed no reduction. No 2-way interactions between nightshift and languidity-vigour were found. Breaking up sitting attenuated fatigue and sleepiness for rigid types only. On-shift recovery needs may differ for circadian types. .
Keywords: Shift work; circadian type; cognitive performance; fatigue countermeasure; individual difference; night shift; physical activity V体育安卓版. .
Plain language summary
Work breaks involving physical activity may provide on-shift recovery from sleepiness and fatigue during nightshifts, with effects potentially influenced by circadian type V体育ios版. This RCT investigated active work breaks and circadian type on fatigue and sleepiness during five simulated nightshifts. Findings underscore the importance of individualised approaches to managing shiftworker fatigue. .
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