| Literature DB >> 34071815 |
Soledad Arribalzaga1, Aitor Viribay2, Julio Calleja-González3, Diego Fernández-Lázaro4,5, Arkaitz Castañeda-Babarro6, Juan Mielgo-Ayuso7.
Abstract
Due to the high metabolic and physical demands in single-stage one-day ultra-trail (SOUT) races, athletes should be properly prepared in both physical and nutritional aspects in order to delay fatigue and avoid associated difficulties. However, high carbohydrate (CHO) intake would seem to increase gastrointestinal (GI) problems. The main purpose of this systematic review was to evaluate CHO intake during SOUT events as well as its relationship with fatigue (in terms of internal exercise load, exercise-induced muscle damage (EIMD) and post-exercise recovery) and GI problems. A structured search was carried out in accordance with PRISMA guidelines in the following: Web of Science, Cochrane Library and Scopus databases up to 16 March 2021. After conducting the search and applying the inclusion/exclusion criteria, eight articles in total were included in this systematic review, in all of which CHO intake involved gels, energy bars and sports drinks. Two studies associated higher CHO consumption (120 g/h) with an improvement in internal exercise load. Likewise, these studies observed that SOUT runners whose intake was 120 g/h could benefit by limiting the EIMD observed by CK (creatine kinase), LDH (lactate dehydrogenase) and GOT (aspartate aminotransferase), and also improve recovery of high intensity running capacity 24 h after a trail marathon. In six studies, athletes had GI symptoms between 65-82%. In summary, most of the runners did not meet CHO intake standard recommendations for SOUT events (90 g/h), while athletes who consumed more CHO experienced a reduction in internal exercise load, limited EIMD and improvement in post-exercise recovery. Conversely, the GI symptoms were recurrent in SOUT athletes depending on altitude, environmental conditions and running speed. Therefore, a high CHO intake during SOUT events is important to delay fatigue and avoid GI complications, and to ensure high intake, it is necessary to implement intestinal training protocols.Entities:
Keywords: GI symptoms; carbohydrates; food intake; marathon trail; recovery; ultramarathon
Mesh:
Substances:
Year: 2021 PMID: 34071815 PMCID: PMC8197833 DOI: 10.3390/ijerph18115737
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Methodological quality and risk of bias of the studies included in the review.
| Evaluated Items | Urdampilleta et al., 2020 [ | Lavoué et al., 2020 [ | Viribay et al., 2020 [ | Wardenaar et al., 2018 [ | Martínez et al., 2018 [ | Wardenaar et al., 2015 [ | Costa et al., 2014 [ | Kruseman et al., 2005 [ |
|---|---|---|---|---|---|---|---|---|
| Purpose | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Literature Review | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Study Design | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 |
| Blinding | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sample Description | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 |
| Sample Size | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| Ethics and Consent | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Validity of Outcomes | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 |
| Reliability of Outcomes | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
| Intervention Description | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Statistical Significance | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 |
| Statistical Analysis | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Clinical Importance | 1 | 0 | 1 | 1 | 0 | 0 | 1 | NR |
| Conclusions | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Clinical Implications | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| Study Limitations | 1 | 0 | 1 | 1 | NR | NR | NR | 1 |
| TOTAL | 12 | 8 | 12 | 13 | 10 | 12 | 11 | 11 |
| % | 75% | 61.53% | 75% | 81.25 | 62.5 | 75.0 | 68.8 | 68.8 |
| Methodological Quality | Good | Poor | Good | Very Good | Acceptable | Good | Good | Good |
Figure 1Study selection. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.
General characteristics of the studies included in the review.
| Reference | Event | Distance/Elevation Gain Temperature | Participants | |
|---|---|---|---|---|
| N (M + F) (Age) | Experience | |||
| Ultra-Trail | ||||
| Lavoué et al., 2020 [ | Albi, France | 24 h/ (distance range 133–272 km) 11.9–35.1 °C | 11 (5 M + 6 F) (46 ± 7 years) | Elite |
| Wardenaar et al., 2018 [ | Sixty of Texel, Netherlands | 120 km/4.3–9.6 °C | 5 M (47 ± 6 years) | Completed at least 10 (ultra) marathons |
| Martínez et al., 2018 [ | Ultra Mallorca Serra de Tramuntana, Spain | 112 km/ 4.448 m of ascent 11–21 °C | 54 (53 M + 1 F) (35.7 ± 7.9 years) | Data not shown |
| 67 km/2521 m of ascent 11–21 °C | 109 (98 M + 11 F) (35.2 ± 8.4 years) | |||
| Wardenaar et al., 2015 [ | Sixty of Texel, Netherlands | 120 km/2.2 °C | 8 (7 M + 1 F) (46.6 ± 6.3 years) | Data not shown |
| 60 km/2.2 °C | 60 (48 M + 12 F) (46.5 ± 7.2 years) | |||
| Costa et al., 2014 [ | Glenmore 24 Trail Race, Scottish Highlands, Scotland, UK | 24 h/(distance range: 122–208 km) 0–20 °C | 25 (19 M + 6 F) (39 ± 7 years) | Data not shown |
| Kruseman et al., 2005 [ | Tour des Dents du Midi race, Switzerland | 44 km/2890 m of ascent 18–30 °C | 42 (39 M + 3 F) (42 ± 9.7 years) | Completed at least 10 trail marathons |
| Trail Marathon | ||||
| Urdampilleta et al., 2020 [ | Oiartzun, Spain | 10 °C/Cumulative elevation gain: 3980.80 m | 20 M LOW: 37.8 ± 9.4 years CON: 37.2 ± 5.4 years EXP: 38 ± 6.8 years | 5 years in SOUT (2 World champions) |
| Viribay et al., 2020 [ | Oiartzun, Spain | 10 °C/Cumulative elevation gain: 3980.80 m | 20 M LOW: 37.8 ± 9.4 years CON: 37.2 ± 5.4 years EXP: 38 ± 6.8 years | 5 years in SOUT (2 World champions) |
| Martínez et al., 2018 [ | Ultra Mallorca Serra de Tramuntana, Spain | 11.0–21.6 °C/1424 m of ascent | 63 (51 M + 12 F) (36.6 ± 8 years) | Unshown data |
M: males; F: females; LOW: 60 g/h of carbohydrate intake during the marathon; CON: 90 g/h of carbohydrate intake during the marathon; EXP: 120 g/h of carbohydrate intake during the marathon; #: average.
Carbohydrate (CHO) amount ingested during SOUT events.
| Reference | Fluid Intake | CHO Intake | Type of CHO | Vs. Recommendations (90 g/h) | Nutritional Strategies | Observations |
|---|---|---|---|---|---|---|
| Ultra-Trail | ||||||
| Lavoué et al., 2020 [ | 274 ± 115 mL/h | 13.9–105.4 g/h (62.2 ± 29.6 g/h) | Sports drink, cake, fruit, and mashed potatoes. | ↓ | YES | Higher rates of energy intake for finishers relative to those of non-finishers and for fast runners compared to slow runners |
| 685 ± 290 mL/kg BM | ||||||
| Wardenaar et al., 2018 [ | 354–765 mL/h | 46.5 ± 14.1 g/h (range: 22.1–62.6 g/h) | Fruit, gels, sports drink, chocolate milk | ↓ | NO | ↑ CHO intake in the section 75–90 km because ↓lower running speed |
| Martínez et al. 2018 [ | 6.319 ± 4214 L | (a) 112 km: 534.9 ± 279.3 g/total (31.2 ± 17.8 g/h) | (a) & (b) Sandwiches, fruit (mainly bananas), gels, pasta, energy bars CHO-electrolyte drinks | (a) ↓ | NO | No difference among distances. The slow paces during race could mean that participants did not require as much CHO. |
| 351 ± 239 mL/h | (b) 67 km: 326.7 ± 157.2 g/total (32.1 ± 14.8 g/h) | (b) ↓ | ||||
| Wardenaar et al., 2015 [ | 2.9 ± 0.9 L | (a) 60 km: 274 ± 133 g/total | No data shown | (a) ↓ | NO | (a) 22% of runners kept to CHO recommendations (21.2% males and 12.5% females) |
| (b) 120 km: 67.3 ± 31.7 g/h | (b) ↓ | (b) Only 1 runner kept to CHO recommendations | ||||
| Costa et al., 2014 [ | 9.1 ± 4.0 L | (a) <160 km: 31 ± 9 g/h | Mono/di/oligosaccharide, polysaccharide sources | (a) ↓ | NO | CHO rates ranged from 16 to 53 g/h (only 1 runner of (≥160 km) consumed 126 g/h). |
| 118 ± 51 mL/kg BM | (b) ≥160 km: 44 ± 33 g/h | (b) ↓ | ||||
| Kruseman, et al., 2005 [ | 3.777 ± 1.146 L | 31 ± 14 g/h | Sweet drinks and glucose. Slowest: soup, fruits and cereal bars. Fastest: Gels | ↓ | NO | >50% runners: <30 g/h 3 runners = 60 g/h insufficient palatability of fluid and food, the practical difficulty of drinking or eating while running/walking remains possible |
| 545 ± 158 mL/h | ||||||
| Trail Marathon | ||||||
| Urdampilleta et al., 2020 [ | No data shown | (a) LOW: 60 g/h | 30 g/h maltodextrin (glucose) and fructose gels (ratio 2:1) | (a) ↓ | YES | ↑ CHO intake decreasing internal exercise load and neuromuscular fatigue |
| (b) CON: 90 g/h | (b) | |||||
| (c) EXP: 120g/h | (c) ↑ | |||||
| Viribay et al., 2020 [ | No data shown | (a) LOW: 60 g/h | 30 g/h maltodextrin (glucose) and fructose gels (ratio 2:1) | (a) ↓ | YES | ↑ CHO intake decreasing internal exercise load and EIMD. |
| (b) CON: 90 g/h | (b) | |||||
| (c) EXP: 120g/h | (c) ↑ | |||||
| Martínez et al. 2018 [ | 4.727 ± 2694 L | 205.2 ± 81.2 g (33.4 ± 13.5 g/h) | Sandwiches, fruit (mainly bananas), gels, pasta, energy bar, CHO-electrolyte drinks | ↓ | NO | No difference between distances. The slow paces during the race could mean that participants did not require as much CHO |
| 459 ± 256 mL/h | ||||||
CHO: carbohydrates; EIMD: exercise induced muscle damage LOW: 60 g/h of carbohydrate intake during marathon; CON: 90 g/h of carbohydrate intake during marathon; EXP: 120 g/h of carbohydrate intake during marathon; ↓: lower; : equal; ↑: Higher.
Summary of studies included in the systematic review that researched into the effect of carbohydrates on fatigue (internal exercise load, EIMD markers and post-exercise recovery).
|
|
|
|
| Internal exercise load | ||
| Urdampilleta et al., 2020 [ |
TRIMP |
↓ HIGH vs. LOW/MED |
| Viribay et al., 2020 [ |
Session-RPE method |
↓ EXP vs. LOW/CON |
| EIMD markers | ||
| Viribay et al., 2020 [ |
GOT LDH CK |
↓ EXP vs. LOW/MED ↓ EXP vs. LOW/MED ↓ EXP vs. LOW/MED |
| Post-exercise recovery | ||
| Urdampilleta et al., 2020 [ |
ABKJT/ABKH: HST1-RM/ HSTSpeed: Borg: ABKH: HST1-RM: HSTSeepd: High Intensity Run Capacity (better time) |
↓ HIGH vs. LOW/MED ↓* HIGH vs. LOW/MED ↓ HIGH vs. LOW/MED ↑ HIGH vs. LOW/MED ↓* HIGH vs. LOW/MED ↓* HIGH vs. LOW/MED ↑ HIGH vs. LOW/MED |
↓: decrease; ↓*: smaller loss; ↑: improvement; HIGH or EXP: 120 g/h; MED or CON: 90 g/h; LOW: 60 g/h; GOT: glutamic oxaloacetic transaminase; LDH: lactate dehydrogenase; CK: creatine kinase; ABKJT: Abalakov jump time; ABKH: Abalakov jump height; HSTSpeed: speed of half-squad test; HST1-RM: 1-repetition maximum test of half squat test.
Summary of studies included in the systematic review that researched into the effect of carbohydrates (CHO) on gastrointestinal (GI) symptoms during exercise.
| Autor | Upper GI Symptoms | Lower GI Symptoms | Conclusions |
|---|---|---|---|
| Ultra-Trail | |||
| Lavoué et al., 2020 [ | 8 participants experienced at least one GI (nausea = 4, difficulty swallowing = 3 vomiting = 1) | Diarrhea ( | The episodes of GI were transient and did not cause any major decreases in performance or dropping out |
| Wardenaar et al., 2018 [ | Nausea ( | Urge to defecate ( | Lower amount of GI complaints during the race than the post-race |
| Wardenaar et al., 2015 [ | Reflux (16.3%) Heartburn (9.3%) Belching (41.9%) Bloating (16.3%) Stomach cramps (14.0%) Nausea (20.9%) | Intestinal cramp (9.3%) Flatulence (34.9%) Urge to defecate (16.3%) Side ache (11.6%) Abdominal pain (9.3%) Loose stool (4.6%) Diarrhea (2.3%) | Higher nutrient intake, except fiber intake, was in general associated with lower frequency of GI distress |
| Costa et al., 2014 [ | 65% reporting at least one severe symptom (nausea; GI pain; vomiting; indigestion; bloating; abnormal bowel movements (e.g., urgency to defecate) | No association between GI and energy and CHO intake was evident. A 2·5-fold greater occurrence of Gl symptoms was observed in the fast group vs. slow group | |
| Trail Marathon | |||
| Urdampilleta et al., 2020 [ | 3 with flatulence and/ or reflux | Athletes with gut training did not evidence any GI problem | |
| Viribay et al., 2020 [ | 3 with flatulence and/ or reflux | Athletes with gut training did not evidence any GI problem | |
Upper GI complaints such as: reflux, heartburn, belching, bloating, stomach cramps, vomiting and nausea; lower GI, such as: intestinal cramp, flatulence, urge to defecate, side ache, abdominal pain, loose stool, diarrhea, and intestinal bleeding. Other, dizziness, headache, muscle cramps, urge to urinate.