# Do Long-Haul Travel and Jet Lag Affect Athletes’ Physiological, Humoral and Performance Outcomes? A Systematic Narrative Review

**Authors:** António Benito, Giorjines Boppre, André Lopes, Diogo Cruz, Daniel Moreira-Gonçalves, David Bruce Pyne, Liliana C. Baptista, Rodrigo Zacca

PMC · DOI: 10.3390/sports14030093 · Sports · 2026-03-02

## TL;DR

This review explores how long-haul travel and jet lag impact athletes' health and performance, and suggests strategies to reduce these effects.

## Contribution

The study systematically reviews the physiological and performance effects of long-haul travel on athletes and differentiates travel fatigue from jet lag.

## Key findings

- Long-haul travel disrupts sleep, hormonal balance, and physical performance in athletes.
- Eastward travel causes stronger circadian disruption and affects aerobic capacity and coordination more than westward travel.
- Mitigation strategies like melatonin, caffeine, and light exposure can help reduce travel-related impairments.

## Abstract

Background: Long-haul travel and jet lag can disrupt athletes’ circadian, physiological, and performance systems, potentially impairing competition outcomes. This review aimed to study the effects of long-haul travel on athletes’ health and performance, differentiate travel fatigue from jet lag, and review mitigation strategies. Methods: A systematic narrative review was conducted following PRISMA 2020 guidelines. PubMed, Scopus, and Web of Science were searched for studies on jet lag, travel fatigue, and long-haul travel in athletes. Eligibility included studies reporting physiological, hemodynamic, or performance outcomes in athletes of any level and sex. Data were extracted on travel characteristics, interventions, physiological and performance markers, and risk of bias. Results: Overall, 284 records were identified, with 89 studies included. Travel directions were equally distributed between eastward and westward journeys, crossing 1–12 time zones. Interventions to mitigate travel effects were reported in 17 studies, primarily melatonin, caffeine, and light exposure. Common physiological changes included sleep disturbances (n = 36), body temperature alterations (n = 18), blood pressure changes, hormonal shifts (n = 9), heart rate variability (n = 4), and immune alterations (n = 4). Travel effects comprised fatigue (n = 25), sleep changes (n = 21), decreased physical performance (n = 18), mood changes (n = 15), and cognitive impairments (n = 9). Physical performance outcomes included anaerobic power (n = 18), strength (n = 14), velocity (n = 12), aerobic capacity (n = 10), coordination (n = 8), and reaction time (n = 7). Risk of bias was low in 49%, moderate in 17%, and high in 34% of studies. Conclusions: Long-haul travel negatively affects multiple physiological and performance domains in athletes, including sleep, hormonal balance, autonomic function, and physical performance. The magnitude of these effects seems to be influenced by travel direction, number of time zones crossed, and individual susceptibility. Eastward travel is generally associated with stronger circadian disruption and impaired aerobic capacity, coordination, and technical performance, whereas westward travel often induces greater fatigue and adversely affects team-sport outcomes. Monitoring key markers such as heart rate variability, sleep, and cortisol, combined with personalized strategies including circadian management, sleep hygiene, nutrition, recovery interventions, and training load adjustments, is essential to mitigate travel-related impairments and optimize performance.

## Linked entities

- **Chemicals:** melatonin (PubChem CID 896), caffeine (PubChem CID 2519)

## Full-text entities

- **Genes:** GGH (gamma-glutamyl hydrolase) [NCBI Gene 8836] {aka GATD10, GH}
- **Diseases:** acute fatigue (MESH:D000208), cardiovascular disease (MESH:D002318), impaired aerobic capacity (MESH:C538054), irritability (MESH:D001523), mood (MESH:D019964), Sleep disturbances (MESH:D012893), cognitive impairments (MESH:D003072), gastrointestinal disturbances (MESH:D005767), excessive daytime sleepiness (MESH:D006970), performance impairment (MESH:D060825), injury to (MESH:D014947), heart disease (MESH:D006331), Jet lag (MESH:D020179), constipation (MESH:D003248), obesity (MESH:D009765), type 2 diabetes (MESH:D003924), depression (MESH:D003866), appetite loss (MESH:D001068), reduced muscular strength and psychomotor coordination (MESH:D011596), diarrhea (MESH:D003967), heart failure (MESH:D006333), Fatigue (MESH:D005221), NHL (MESH:C537134), anxiety (MESH:D001007), inflammatory (MESH:D007249), arrhythmias (MESH:D001145), myocardial infarction (MESH:D009203), sleep deprivation (MESH:D012892), dehydration (MESH:D003681), GS (MESH:D005736), insomnia (MESH:D007319), hypoxia (MESH:D000860), confusion (MESH:D003221), circadian disruption (MESH:D019958)
- **Chemicals:** alcohol (MESH:D000438), Cortisol (MESH:D006854), ramelteon (MESH:C495910), ETG (-), oxygen (MESH:D010100), SG (MESH:C000603632), water (MESH:D014867), Melatonin (MESH:D008550), glucose (MESH:D005947), serotonin (MESH:D012701), Caffeine (MESH:D002110)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13030464/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13030464/full.md

## References

101 references — full list in the complete paper: https://tomesphere.com/paper/PMC13030464/full.md

---
Source: https://tomesphere.com/paper/PMC13030464