| Literature DB >> 32854320 |
Damir Zubac1,2, Alex Buoite Stella3, Shawnda A Morrison4.
Abstract
The microclimate of an airline cabin consists of dry, recirculated, and cool air, which is maintained at lower pressure than that found at sea level. Being exposed to this distinctive, encapsulated environment for prolonged durations, together with the short-term chair-rest immobilization that occurs during long-haul flights, can trigger distinct and detrimental reactions to the human body. There is evidence that long-haul flights promote fluid shifts to the lower extremity and induce changes in blood viscosity which may accelerate dehydration, possibly compromising an athlete's potential for success upon arrival at their destination. Surprisingly, and despite several recent systematic reviews investigating the effects of jet lag and transmeridian travel on human physiology, there has been no systematic effort to address to what extent hypohydration is a (health, performance) risk to travelers embarking on long journeys. This narrative review summarizes the rationale and evidence for why the combination of fluid balance and long-haul flight remains a critically overlooked issue for traveling persons, be it for health, leisure, business, or in a sporting context. Upon review, there are few studies which have been conducted on actual traveling athletes, and those that have provide no real evidence of how the incidence rate, magnitude, or duration of acute dehydration may affect the general health or performance of elite athletes.Entities:
Keywords: athletic performance; fluid intake; hypohydration; jet lag syndrome
Mesh:
Substances:
Year: 2020 PMID: 32854320 PMCID: PMC7551461 DOI: 10.3390/nu12092574
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Air cabin environment creates a unique situation that promotes possible increased risk for dehydration and fluid shift en route to the destination which may be further exacerbated by the behavior of the individual and independent of jet-lag-induced alterations in circadian rhythm.
Factors influencing fluid balance during long-haul flights.
| Factor | Expected Changes | Measured Changes | E.g. London–Tokyo (~12 h) |
|---|---|---|---|
| Insensible and ventilatory fluid losses | Increased due to reduced air humidity and slightly increased ventilation | Increased by 200 mL/h (360 mL/h total) [ | Increased fluid consumption by at least 2.4 L (up to 4 L) |
| Gastrointestinal losses | Altered motility and absorption due to circadian rhythm alterations and dietary patterns may affect both fluid intake and fluid losses | Abdominal pain, constipation, and diarrhea are often reported [ | Diarrhea or constipation may increase or decrease fluid losses, respectively |
| Urinary losses | Circadian rhythm alterations may influence kidney function | No clear studies are present, possible hyperfiltration and microalbuminuria [ | No data are available to make a clear estimation |
| Fluid intake | Reduced fluid intake may be expected due to altered appetite, gastrointestinal dysfunction, changes in dietary habits, and desire to reduce the need to void the bladder | Few studies assessed fluid intake during long-haul flights in athletes. Less than 500 mL may be consumed for long-distance travel [ | Fluid intake of minimum 200–250 mL/h may be encouraged (consider fluid from food) |
Note: Due to the lack of a common consensus on total fluid losses during long-haul flights, caution should be applied when approximating/estimating fluid needs.
Summary of the physiological effects of jet lag and transmeridian travel on actual athletes traveling across multiple time zones.
| Study | Participants | Population | Flight Details | Design | Testing Methodology | Performance Outcomes | Fluid Intake? | Hydration Status Assessed? |
|---|---|---|---|---|---|---|---|---|
| Chapman et al. [ | Skeleton athletes | AUS to CAN | Cross-sectional cohort | Data collection: | Dec in peak and mean squat jump velocity; CMJ velocity did not change; CMJ jump height decreased; squat movement NS | Not reported | No | |
| Bullock et al. [ | Same as above | Same as above | Same as above | Same as above | Test sampling as above | NS for performance time in travel group; | Not reported | USG measured; NS on any postflight measurement day; NS different from nontravel group |
| Broatch et al. [ | Volleyball | Canberra, AUS to Manila, Philippines | RCT | Data collection 1 d before, 12, 24, and 48 h postflight, resting BP and HR during flight | CMJ; NS time or interaction effect; | Not reported | No | |
| Fowler et al. [ | Professional AUS Rugby League | AUS to UK | Cross-sectional pre/post | Data collected: | NS across any dependent measure at any time-point except self-reported upper respiratory symptoms 6 d post-travel in | Not reported | No | |
| Lemmer et al. [ | WEST | Elite gymnasts | Frankfurt, Germany to Atlanta, USA | Cross-sectional | Data collected: | All functions were disturbed on the first day on arrival at destination (both directions) and remained until 5–6 d (WEST) and 7 d after EAST | Not reported | No |
| Kraemer et al., [ | “Recreational” | Hartford CT, USA to Los Angeles, CA, USA (return) | RCT | Data collected: | Compression garments maintained lower body indicators; no changes in isometric strength of upper limbs | Not reported | Yes | |
| Geertsema et al., [ | “Athletes” not specified. | Pooled data from | Prospective cross-sectional | Data collected: | NS HR | Not reported | No | |
| Schumacher et al., [ | Endurance athletes | Germany to Doha, Qatar | Prospective cross-sectional | Data collected: | None per se | Yes | Indirectly yes | |
| Stevens et al., [ | Triathletes (Masters) | Sydney, AUS to Kona via Honalulu, USA | Prospective cohort | Data collected: | No changes in sleep quality or mucosal measures across the study | No | No |
Notes: CMJ, countermovement jump; TT: total time traveled; NS, not significant; RCT, randomized control trial; HR, heart rate; BP, blood pressure; SBP, systolic blood pressure; DBP, diastolic blood pressure; USG, urine specific gravity.