The participant successfully completed the 620 km route across the seven Emirates of the UAE in seven days achieving a new Guinness World Record at an average moving pace of 10.11 min/km. The participant had planned to follow a strict walking pace throughout the challenge to ensure he completed each stage and the entire distance within the planned time whilst minimizing the risk of injury, which could end the challenge prematurely. Although speed and distance travelled during each shift would be expected to vary slightly with changes in the elevation, ambient environmental temperature, and fatigue; there was no consistent pattern in the participant’s walking pace. Indeed, the participant completed the first three shifts at a faster pace than originally planned and this subsequently led to the lower limb musculoskeletal pain and fatigue that was reported in the first half of the challenge. Moreover, the participant deviated from the planned nutritional strategy and instead his high glucose intake led to gastrointestinal pain and diarrhea. These observations reinforce the importance of adhering to a pre-planned hydration and nutrition strategy and training the gastrointestinal tract to tolerate high glucose intakes (Jeukendrup and McLaughlin, 2011; Jeukendrup, 2017). In contrast, a recent case study of an experienced male ultra-endurance walker (age 41 years; mass 69 kg; height 173 cm) who used the Nordic walking technique (i.e. a form of fast walking with two poles) and pacing strategy to break the “Longest Marathon Nordic Walking” Guinness World Record covering 274 km in 70 hours on a regular 400 m running track (Pedrinolla et al., 2017). The study showed the Nordic walker was able to maintain a consistent pace of 4.8 ± 1.1 km/h for 70 hours and this was achieved by successfully managing his metabolic energy, oxidative stress, and psychological state (Pedrinolla et al., 2017). It is not uncommon for ultra-endurance competitors, especially in running-based events, to experience changes in body composition including a reduction in body mass due to an energy deficit caused by energy expenditure exceeding energy intake (Knechtle and Nikolaidis, 2018). In our study, there was a minimal reduction in body mass (-0.7%) but it is unclear whether the athlete was able to balance feeding with energy demands throughout the record attempt due to a lack of repeated body mass measurements. However, his post-record attempt body mass suggests he was able to replenish glycogen stores and re-balance hydration in the first few days of recovery. The athlete experienced a reduction in fat mass (-45.3%) and relative increase in FFM (9.6%) which was predominantly observed in the legs and most likely due to water retention in skeletal muscle. Knechtle and Kohle (2007) have suggested that changes in body and skeletal muscle mass during ultra-endurance events might be relative changes due to fluid retention and that future studies should employ suitable methods to detect variations in hydration status and water metabolism. A previous study examined the body composition changes of 10 non-professional male runners (mean ± SD, 43.8 ± 6.2 years, 73.8 ± 6.0 kg body mass, 1.77 ± 0.05 m body height, BMI 23.3 ± 1.8 kg·m-2) competing in the ‘Deutschlandlauf’ 2007 a 1,200 km run within 17 consecutive days (Knechtle et al., 2008). The study reported a cumulative increase in percent total body water (6.1%; p < 0.05), a decrease in skeletal muscle mass (2.0 kg; p < 0.05) and a decrease in fat mass estimated using bioelectrical impedance analysis (3.9 kg; p < 0.05) (Knechtle et al., 2008). The study authors hypothesise that continuous eccentric exercise led to skeletal muscle damage, a continuous rhabdomyolysis, and impaired renal function, consequently leading to a continuous accumulation of body water (Knechtle et al., 2008). However, there are some differences between our record-breaking attempt and the ultra-endurance runners in the 1200 km Deutschlandlauf’ 2007 race that might account for the differences in study findings. Our athlete was predominantly walking and racing against time to complete ~619 km over 15 shifts (mean ~8 h covering ~41 km per shift at an average moving pace of 10.11 min/km/5.9 km/h; 29/C) whereas the ultra-endurance runners were competing in a race of 41 participants over 17 days (mean daily distance 70.9 km; mean speed 7.7 km/h; 14/C). A recent study assessed the anthropometric changes (post- race and post-48-h race) of nine non-professional triathletes competing in an ultra-endurance triathlon (i.e. 3.8-km swimming, 180-km cycling with a positive elevation of +2600 m, 42.2-km running) in Salou, north-western Spain (race conditions: mean (range) ambient temperature was 26 °C (13-30 °C), the water temperature was 21 °C (20.8-21.2 °C) and the relative humidity was 77% (64% - 94%) (Castizo-Olier et al., 2018). The study reported a mean reduction in body mass of 5.0 kg across the nine ultra-endurance triathletes that was reversed to a -1.0 kg body mass reduction 48-h post-race (Castizo-Olier et al., 2018). Our participant’s body mass remained at pre-event body mass four days after the event which means that he either maintained body mass throughout the seven days or indicates that non-professional athletes can rehydrate and refuel appropriately following ultra-endurance events. The nine ultra-endurance triathletes did not experience any change in the circumferences of the left and right thigh or calves following completion of the ultra-endurance triathlon (mean completion time 752 ± 70 min). On the contrary, bioelectrical impedance analysis data from our study suggested that the participant in the seven-day ultra-endurance walking challenge experienced a reduction in fat-mass (-7.5 kg) and a relative increase in FFM of 6.9 kg (of which 2.7 kg was estimated to be in skeletal muscle mass) with the relative gain in skeletal muscle mass predominantly occurring in the right (2.2 kg) and left leg (2.3 kg). An earlier study of eight male ultra-endurance athletes competing in the World Challenge Deca Iron Triathlon 2006 (Mexico) that entailed completing one Ironman triathlon (i.e. 3.8 km swimming, 180 km cycling, and 42 km running) every day for 10 consecutive days experienced a reduction in body fat (-3 kg) but no change in skeletal muscle mass, mineral mass, or body water (Knechtle et al., 2008). Another study assessed body composition changes in 21 well-trained male ultra-endurance runners (mean ± SD, 41.5 ± 6.9 years, 72.6 ± 6.4 kg, 178 ± 5 cm, BMI 23.0 ± 2.0 kg·m-2) who completed the Isarrun 2006 race in Germany which requires athletes to complete 338 km within 5 days (Knechtle and Kohle, 2007). Body mass and calculated fat mass did not change significantly but calculated skeletal muscle mass decreased significantly (-0.63 ± 0.79 kg) by the end of the race (Knechtle and Kohle, 2007). It is challenging to directly compare changes in body composition between different studies and ultra-endurance events due to phenotypic and training status differences between athletes, event characteristics (including mode of activity, distance/duration, climate, and terrain and topography), and methods used to estimate body composition. The athlete in our study experienced several changes in different components of complete blood count from pre- to post-record attempt including reductions in red blood cell count, haemoglobin, and haematocrit (Table 5). However, these observations should be interpreted with caution as changes in levels of plasma constituents might be due to exercise-induced plasma volume changes where fluid shifts into (haemodilution) the intravascular space (Kargotich et al., 1998). Indeed, a study evaluating the renal and haematological effects of 16 elite ultra-endurance cyclists racing 525 km (cumulative altitude difference: 12,600 m) across the Alps reported that haematocrit and haemoglobin declined with a corresponding rise in plasma volume due to post-exercise haemodilution (Neumayr et al., 2005). As expected during ultra-endurance events, the athlete experienced changes in biomarkers that indicate stress, cell damage, and inflammation. C-reactive protein (CRP), an acute phase reactant, is produced by the liver in response to inflammation and increased levels above basal ranges indicate muscle damage through cell injury and disruption. The athlete experienced a 30-fold increase in CRP from pre-event to four-days post-event and this value would most likely have been higher if the blood sample was taken immediately after the event. Similarly, there was an 81% increase in creatine kinase-MB (CK-MB) and 102% increase in ferritin, also an acute phase reactant, from pre- to post-event. CK-MB and ferritin are markers of cell damage (Kell and Pretorius, 2014) and the large increases experienced by the participant indicates a high degree of skeletal muscle damage as a result of the prolonged ultra-endurance walking event over seven days. A recent study of 32 male ultra-distance runners completing a 200-km race in South Korea collected blood samples <2 hours before the race, during the race at 100 km and 150 km, and at the end of 200 km, as well as after a 24 h period of recovery (Son et al., 2015). The study reported similar increases in CRP and CK-MB with values rising substantially at 150 km and 200 km and then CK-MB dropped to pre-race levels within 24 hours post-race; however, CRP remained elevated during the first day of recovery (Son et al., 2015). Moreover, another study of 21 male marathoners and ultra-marathoners participating in 42.195 km and 200 km races, respectively, reported that CK had increased 3-fold by the end of the marathon and increased 35-fold at the end of the 200-km race and remained increased until day 5 after the 200-km race (Kim et al., 2009). Similarly, CRP increased 3.4-fold one day after but not during the marathon and increased 40-fold by the end of the 200 km race and remained elevated on day six of recovery (Kim et al., 2009). Interestingly, there was a 1.6-fold increase in cartilage oligomeric matrix protein (COMP), a marker of cartilage breakdown (Andersson et al., 2006), at 10 km during the marathon race that declined to the pre-race level after 2 days recovery and 1.9-fold increase after a 200-km race that was maintained until day 3 of recovery, only returning to the pre-race level on day 6 (Kim et al., 2009). We did not measure COMP in this study; however, future research may want to consider including COMP as a biomarker to explore the effect of ultra-endurance walking and running on cellular changes in cartilage (Andersson et al., 2006). A multi-day walking/running ultra-endurance record attempt is physiologically demanding and the athlete in our study experienced reductions in several hormones including thyroid stimulating hormone (-43%), free testosterone (-49%), and total testosterone (-33%). Ultra-endurance events are known to increase levels of cortisol and decrease testosterone (Knechtle and Nikolaidis, 2018). We were unable to measure cortisol in the present study; however, this hormone inhibits the secretion of thyroid-stimulating hormone from the pituitary gland and the decrease in thyroid-stimulating hormone observed in our study might be due to increased cortisol levels. Nonetheless, our findings are aligned with a recent case study of an athlete on a record-breaking 36-h nonstop underwater endurance performance that reported a reduction in thyroid-stimulating hormone one day after the event (Verratti et al., 2021). In addition, another study assessed the hormonal changes of 11 endurance trained runners during a 110 km ultra-marathon and reported that compared to a control group, there were significant increases in cortisol and decreases in testosterone during the race (Fournier et al., 1997). |