Abstract
Oxygen-enriched air is commonly used in the sport of SCUBA-diving and might affect ventilation and heart rate, but little work exists for applied diving settings. We hypothesized that ventilation is decreased especially during strenuous underwater fin-swimming when using oxygen-enriched air as breathing gas. Ten physically-fit divers (age: 25±4; 5 females; 67±113 open-water dives) performed incremental underwater fin-swimming until exhaustion at 4 m water depth with either normal air or oxygen-enriched air (40% O 2 ) in a double-blind, randomized within-subject design. Heart rate and ventilation were measured throughout the dive and maximum whole blood lactate samples were determined post-exercise. ANOVAs showed a significant effect for the factor breathing gas (F(1, 9)=7.52; P=0.023; η 2 p =0.455), with a lower ventilation for oxygen-enriched air during fin-swimming velocities of 0.6 m·s −1 (P=0.032) and 0.8 m·s −1 (P=0.037). Heart rate, lactate, and time to exhaustion showed no significant differences. These findings indicate decreased ventilation by an elevated oxygen fraction in the breathing gas when fin-swimming in shallow-water submersion with high velocity (>0.5 m·s −1 ). Applications are within involuntary underwater exercise or rescue scenarios for all dives with limited gas supply.
Key words: SCUBA diving, nitrox, underwater exercise, hyperoxia
Introduction
Ventilation (V̇ E ) is a critical factor for the duration and safety of a dive and might be affected by the inspiratory fraction of oxygen (F I O 2 ) in the breathing gas. This has already been reported in land-based studies for rest and exercise 1 2 3 4 , but only little work exists for the context of sport-diving with SCUBA (self-contained underwater breathing apparatus) 5 6 7 , where breathing gases with an elevated oxygen content are commonly used 8 and the amount of gas consumed per breath increases with depth. Several diving-specific factors, like exertion during fin-swimming or physiological adaptions underwater might influence this interaction in an applied setting.
Oxygen enriched air (EAN; i. e. inspiratory oxygen fraction (F I O 2 ) above 21%) is the second most-used breathing gas besides air in sport-diving, with the main purpose to replace nitrogen (N 2 ) with oxygen (O 2 ). When performing the same dive with EAN instead of air (AIR), N 2 tissue saturation and decompression risks are reduced and no-decompression dive-times prolonged 8 9 . One detrimental effect of oxygen-enriched air is oxygen toxicity (i. e. inspiratory oxygen partial pressure (P I O 2 )>140 kPa), which is known as a limiting factor for F I O 2 in the mix and maximum depth during the dive 8 10 . The risk of nitrogen narcosis, which affects responsiveness, well-being, and cognitive performance under high PN 2 [ 11 12 13 14 , is reduced when diving with EAN. Thus, diving with EAN as a breathing gas has become extremely popular, especially if many repetitive dives are performed.
A higher F I O 2 and P I O 2 , respectively, in the lungs (i. e. due to a raised F I O 2 in the breathing gas) results in a higher arterial oxygen partial pressure (P a O 2 ) and slightly more O 2 in the blood. In healthy subjects, this increases solely the concentration of physically dissolved O 2 , which is marginal compared to hemoglobin-bound O 2 . However, O 2 delivery is a limiting factor for increased workload and especially for transitions in work rate, like during incremental exercise until exhaustion. In those scenarios, an increased O 2 delivery (from an increase in P a O 2 ) might be beneficial for O 2 diffusion to the muscle and therefore delay the metabolic acidosis from lactate accumulation. This is in line with several studies reporting decreased lactate accumulation during hyperoxic exercise on the bicycle 15 16 17 18 19 20 . Furthermore, the over-proportional increase in V̇ E , among other things as a result of metabolic acidosis, might be postponed. This can explain higher peak workloads or longer submaximal exercise times 16 17 21 22 23 . Also, a lower perceived exertion was stated for hyperoxic exercise 24 25 .
Peripheral arterial chemoreceptors, like in the carotid bodies, regulate V̇ E by monitoring PO 2 , PCO 2 , and pH. Whereas hypoxemia leads to an increase of V̇ E during rest, hyperoxia (i. e. higher P a O 2 ) attenuates the sensitivity of those receptors 1 4 26 . Furthermore, a lower heart rate (HR) was observed in hyperoxia during rest 27 28 as a result of enhanced vascular resistance and during exercise 3 , where a reduced sympathetic activation was suspected as the modulating factor at steady-state exercise intensities.
In submersion studies with moderate exercise on a bicycle ergometer, a lower V̇ E was observed at depth (470 kPa ambient pressure) with a P I O 2 of 21 kPa 5 , which suggests the sole influence of submersion, and under hyperoxia (175 kPa P I O 2 ) 5 6 . These studies observed no effects on V̇ E between 70 kPa and 130 kPa P I O 2 , which might be attributed to the counteracting effects of breathing gas density at depth. However, most findings so far are from cycle ergometer experiments in the laboratory or a pressure chamber and did not consider specific sport-diving aspects like exercise modality (i. e. fin-swimming vs. cycling), the body-position in the water (i. e. upright vs. supine), or immersion with potential influences on physiological reactions such as metabolism, blood shift, and breathing resistance. In combination with an increased F I O 2 in the breathing gas (i. e. 56 kPa at 4 m water depth), exercise modality might affect O 2 consumption and whole blood lactate production, at least in transient phases, and therefore the respiratory drive. In turn, factors like V̇ E , HR, perceived exertion, and time to exhaustion (TTE) might be affected in an applied context during incremental exercise. Therefore, former findings need verification in an applied field setting for sport diving.
In this study, we investigated the effects of either AIR (21% O 2 ) or EAN (40% O 2 ) as breathing gas on V̇ E , HR, lactate concentration [Lac - ], and TTE during underwater incremental fin-swimming. We hypothesized, that V̇ E and HR are lowered for EAN at given fin-swimming speeds. Additionally, lower [Lac - ] after exhaustive underwater fin-swimming was expected.
Materials and Methods
Participants
An a priori sample size calculation (G*Power 3.1.9.2) demanded a total sample size of 10 participants to obtain an effect size f=0.5 and power of 1−β=0.80 with a mixed design and a significance level of α<0.05. Eleven healthy, young, and physically-fit sport students participated in the study (see Table 1 ). One female participant did not complete the velocity of 0.8 m·s −1 for both conditions and was excluded from the analysis (N=10; 25±4 years (mean±SD); 5 females). Each participant performed two test conditions with incremental underwater fin-swimming until exhaustion, breathing either AIR or EAN. All tests were conducted in an indoor pool (20 ×20 × 5 meters) in approximately 4 m water depth. A valid medical examination for diving and diving experience of five or more open-water dives was mandatory for participation. All divers were informed about the purpose and design of the study and signed an informed consent form before participation. Termination of participation was possible at all times without reasoning. An ethics committee, following the declaration of Helsinki, approved the study 29 .
Table 1 Table shows individual values, mean values, and standard deviation for the number of open-water dives, overall and specific fin-swimming self-stated fitness level, and weekly training hours for all participants (N=10).
| Age [years] | Weight [kg] | Height [cm] | Open-water dives | physical training [h per week] | overall fitness level [self-stated] | fin-swimming fitness level [self-stated] |
|---|---|---|---|---|---|---|
| 23 | 67 | 175 | 72 | 12 | good | good |
| 25 | 78 | 173 | 12 | 10 | medium | medium |
| 24 | 70 | 170 | 35 | 3 | medium | medium |
| 23 | 82 | 185 | 25 | 3 | good | good |
| 22 | 61 | 168 | 25 | 1 | medium | medium |
| 21 | 68 | 180 | 14 | 6 | good | good |
| 22 | 55 | 167 | 400 | 10 | good | good |
| 23 | 78 | 177 | 65 | 10 | good | good |
| 27 | 82 | 176 | 5 | 5 | good | medium |
| 36 | 72 | 178 | 14 | 2 | medium | bad |
| 25 | 71 | 175 | 67 | 6 | ||
| 4 | 8 | 5 | 113 | 4 |
Study Design
All participants performed two test conditions in a crossover, randomized and double-blind design with a mandatory interval of 2–7 days to ensure full physical recovery. Neither the test conductor nor the participants knew which gas was used in which test. Only the study supervisor knew the organization of test conditions and gas logistics. In one condition, the breathing gas was normal air (AIR), and in the other oxygen-enriched air (40% O 2 , enriched air Nitrox: EAN). Test conditions differed solely by the breathing gas (AIR, EAN). The diving gear was provided and consisted of a 3 mm wetsuit, a 10 L steel tank, a commercially available buoyancy control device (BCD), a breathing regulator, mask and fins.
The fit2dive-test’s underwater exercise parcours 30 was utilized for incremental fin-swimming. The test was developed to enable specific exercise testing for sport divers, taking into account specific locomotion, equipment-induced water drag, and fin-swimming technique. The parcours consisted of a 50 m-long rope that was anchored to the bottom of the pool in the shape of a hexagon. Checkpoints were marked with a buoy to allow for self-controlled fin-swimming velocity with a marching-table and stopwatch. After a mandatory round of slow fin-swimming for familiarization, participants then started swimming under the supervision of the test conductor. Fin-swimming velocity was increased in 150 s-long steps of 0.4 m·s -1 , 0.6 m·s -1 , 0.8 m·s -1 , and 1.0 m·s -1 . The test ended if two consecutive checkpoints could not be reached according to the marching chart. Participants then surfaced together with the test conductor and stated their rating of perceived exertion (RPE) on a scale ranging from “very light” (6) to “full exertion” (20) 31 .
Measurements
Process during incremental exercise was tracked by the test conductor. The maximum time to exhaustion was noted for every participant and condition. HR and tank pressure was recorded with a heartrate-belt and pressure transmitter, respectively. Recordings were made every 4 s and stored on the dive computer for later analysis. Before the start of physical exercise , a 3-min HR-baseline measurement was recorded in the supine position at 5 m water depth.
Whole blood [Lac - ] was determined from earlobe blood samples once before submersion (i. e. after 30 min of rest; baseline) and five times with one-minute intervals after exercise, the first sample taken immediately after the termination of exercise and surfacing with the participants (i. e. approx. 15 s after exercise). The maximum lactate concentration [Lac - ] max was determined as the highest value out of the five samples taken after exercise. The samples were stored cooled and analyzed the same day in the laboratory.
Data Processing
V̇ E was calculated for ambient pressure using tank-pressure and depth recordings from the diving computer. In our formula, V̇ E [L·min -1 ] is the amount of gas consumed per minute, ΔP tank [kPa] is the difference in tank pressure throughout 40 s, V tank [L] is the volume of the tank, and P depth [kpa] is the mean of depth reading (recorded every 4 s) throughout 40 s multiplied by 10 kPa+100 kPa. Means for V̇ E and HR were determined during the last 20 s of every velocity.
V̇ E =∆P tank ×V tank ×P depth −1
The second ventilatory threshold (VT2) was estimated for both conditions by three experienced evaluators as the point of over-proportional increase of V̇ E in relation to HR (see Fig. 1 ), marking rapid lactate increase and hyperventilation 32 . VT2 was utilized to gain information on the participants' metabolism during exercise, as we could not perform spiroergometric measurements or take lactate samples underwater.
Fig. 1.

Data shows the determination of the ventilatory threshold at the disproportional increase of Ventilation (V̇ E ) in ratio to heart rate (HR). Example of one subject.
Table 2 shows means and standard deviations for V̇ E , HR, and time at VT2 for the three independent estimations. Figures show means and 95% confidence intervals. Mean values for V̇ E and HR throughout the exercise were calculated over the last 20 s at rest and for every fin-swimming velocity.
Table 2 Mean values for ventilation (V̇ E [L]) and heart rate (HR [min −1 ]) were calculated for the last 20 seconds of every velocity (Rest, 0.4, 0.6, and 0.8 m·s -1 ). The maximum whole blood lactate [Lac - ] max [mmol·L −1 ] was the highest lactate sample taken after incremental exercise. The maximum time to exhaustion (TTE) was the time accomplished during incremental exercise. The rating of perceived exertion (RPE) was stated directly after exercise. HR, V̇ E , and time for ventilatory threshold (VT2) were estimated by three experienced evaluators. Table shows means±standard deviation. *P<0.05 for comparisons of breathing gases (AIR vs. EAN).
| Variable | EAN [40% O 2 ] | AIR [21% O 2 ] | ||
|---|---|---|---|---|
| Rest | [Lac - ] | [mmol·L -1 ] | 1.31±0.5 | 1.43±0.6 |
| HR | [bpm] | 96±12 | 96±13 | |
| V̇ E | [L·min -1 ] | 17±7 | 18±6 | |
| 0.4 [m·s -1 ] | HR | [bpm] | 111±8 | 108±14 |
| V̇ E | [L·min -1 ] | 22±4 | 22±6 | |
| 0.6 [m·s -1 ] | HR | [bpm] | 145±14 | 140±19 |
| V̇ E * | [L·min -1 ] | 35±7 | 44±12 | |
| 0.8 [m·s -1 ] | HR | [bpm] | 171±10 | 170±14 |
| V̇ E * | [L·min -1 ] | 63±26 | 74±25 | |
| VT2 | HR | [bpm] | 149±19 | 153±13 |
| V̇ E | [L·min -1 ] | 34±10 | 38±10 | |
| Time | [s] | 327±74 | 344±83 | |
| Max | RPE | [a.u.] | 16±2 | 15.9±1.7 |
| TTE | [s] | 480±62 | 480±71 | |
| [Lac - ] max | [mmol·L -1 ] | 6.9±1.2 | 7.1±1.4 | |
Statistics
Using SPSS statistics 25 (IBM, USA), all variables were checked for a violation of normal distribution using the Shapiro-Wilks test. Alpha was set to 0.05. Two-way ANOVAs with repeated measures on the factors gas (AIR, EAN) and velocity (Rest, 0.4 m·s −1 , 0.6 m·s −1 , and 0.8 m·s −1 ) were calculated for HR, V̇ E and [Lac-]. Multiple mean value comparisons according to Bonferroni and one-tailed pairwise comparisons were used to investigate significant results. The correlation between [Lac - ] max and TTE was investigated using the correlation coefficient from Spearman. For main-effects, effect-sizes were estimated using partial eta squared (η 2 p ), where values=0.01 indicate a small effect, values=0.06 a medium effect, and values=0.14 a large effect. For post-hoc comparisons, Cohen’s d was computed as the quotient from the difference between two means and the mean standard deviation, where values between 0.2 and 0.5 indicate a small effect, values between 0.5 and 0.8 indicate a medium effect, and values > 0.8 indicate a large effect 33 .
Results
The analysis of V̇ E produced significant main effects for the factor gas (F(1, 9)=7.52; P=0.023; η 2 p =0.455) and velocity (F(1.25, 11.21)=39.59; P<0.001; η 2 p =0.815). An interaction effect for gas*velocity could not be found (F(1.51, 13.52)=2.52; P=0.126; η 2 p =0.220). Post-hoc, values for EAN were significantly lower compared to AIR during the velocities of 0.6 m·s −1 (P=0.032; d=1.02) and 0.8 m·s −1 (P=0.037; d=0.47). Participants reached VT2 at a similar time during exercise (AIR, EAN) with no significant differences for HR and V̇ E (see Fig. 2 and Table 1 ).
Fig. 2.

The X-axis depicts rest and the velocities 0.4, 0.6, and 0.8 m·s -1 . Means and 95% confidence intervals are shown for heart rate (upper two graphs) and ventilation (V̇ E, lower two graphs) for the conditions normal air (AIR) and oxygen-enriched air (EAN). *P<0.05 for comparisons of breathing gases (AIR vs. EAN).
HR showed a significant main effect for velocity (F(1.75, 15.74)=154.27; P<0.001; η 2 p =0.945), but not for gas (F(1,9)=0.691; P=0.427; η 2 p =0.071) or gas*velocity (F(1.58,14.18)=0.453; P=0.599; η 2 p =0.048). [Lac - ] did not show any significant variations between EAN and AIR (F(1, 9)=0.16; P=0.699; η 2 p =0.017, see Fig. 3 ). No difference for TTE or RPE during exercise was found between conditions (F(1, 9)=0.037; P=0.852; η 2 p =0.004, see Table 2 ).
Fig. 3.

Means and 95% confidence intervals for samples of whole blood lactate concentrations [Lac - ] from the earlobe. Samples were taken once before exercise (Rest) and every minute for five times directly following incremental exercise (Post+x min).
For AIR, Spearman correlation coefficient showed a significant correlation for [Lac - ] and TTE (r s =0.638; P=0.047). A correlation with EAN showed no significant effects (r s =0.329; P=0.353).
Discussion
Our results show a significantly lower V̇ E with EAN for the fin-swimming velocities of 0.6 m·s −1 and 0.8 m·s −1 in shallow underwater settings compared to AIR. Surprisingly, [Lac - ] max after exercise did not show any significant differences between AIR and EAN. We observed no differences or correlations for HR, TTE, or the ventilatory threshold.
Thus, it can be speculated why the effect of a lower V̇ E only shows for high velocities. In normobaric conditions, hemoglobin in arterial blood is typically saturated for 97% or higher. Whereas increased PO 2 has no relevant effects on hemoglobin saturation, the concentration of physically dissolved oxygen increases linearly according to the ambient pressure (Henry’s law) 34 . For normobaric conditions, the dissolved O 2 concentration for an alveolar PO 2 of 15 kilopascal (kPa) can be approximated to 3 mL·L -1 for AIR and 6.8 mL·L -1 for EAN (i. e. 34 kPa alveolar PO 2 ), respectively, when assuming a physical solubility for O 2 of 0.2 mL (L·kPa) -1 35 . The inspiratory P I O 2 for EAN in the present study results in more than two times the physically dissolved O 2 in the arterial blood [O 2 art ] when compared to AIR (see Table. 3 ). At 25 m, which is a common water depth in sport diving, breathing EAN leads to an O 2 art of 26.8 mL·L -1 .
Table 3 Relation of inspiratory and alveolar oxygen partial pressure (PO 2 [kPa]) and the related arterial O 2 concentration [O 2 art ] for AIR (21% O 2 ) and EAN (40% O 2 ) as breathing gases. Data were calculated for normobaric (100 kPa) and hyperbaric (140 kPa and 350 kPa, respectively) underwater conditions.
| EAN [40% O 2 ] | AIR [21% O 2 ] | ||||
|---|---|---|---|---|---|
| PO 2 [kPa] | [O 2art ][mL·L −1 ] | PO 2 [kPa] | [O 2art ][mL·L −1 ] | ||
| normobaric [100 kPa] | inspiratory | 40 | 6.8 | 21.0 | 3.0 |
| alveolar | 34 | 15.0 | |||
| hyperbaric [underwater] [140 kPa] | inspiratory | 56 | 10.00 | 29.4 | 4.7 |
| alveolar | 50 | 23.4 | |||
| hyperbaric [underwater] [350 kPa] | inspiratory | 140 | 26.8 | 73.5 | 13.5 |
| alveolar | 134 | 67.5 | |||
We assume that during rest and low velocities (i. e. 0.4 m·s -1 ), the muscles’ oxygen demand is sufficiently covered. With increasing exercise intensity, the delay of cardiovascular adaptations to the working muscles increased O 2 -demand then creates a local oxygen deficit 36 37 . An increased O 2 supply and the accompanying greater amount of oxygen in the blood increase oxygen uptake (V̇O 2 ), and could enhance the diffusion of oxygen to the muscle 20 . As a result, additional glycogen oxidation could attenuate the accumulation of lactate and respiratory acidosis 3 26 37 . Hyperoxia (e. g. hyperbaric conditions underwater) might reduce the amount of metabolic anaerobic glycolysis at least during transient phases after increased exercise intensity 38 , thus reducing lactate production and maintaining a higher ph-value with a slower increase in V̇ E from an alleviated respiratory drive 26 38 . This seems especially relevant with a decreased oxygen deficit during work rate transitions and high-intensity exercise 16 36 38 , where the acceleration of V̇O 2 kinetics must be assumed 38 39 . These metabolic adaptions and their influence on VT2 could be backed up in future studies involving spirometric measurements.
It should be noted that other studies reported decreases in V̇ E during hyperoxic exercise accompanied by a decrease in blood lactate 20 40 41 42 , which is inconsistent with our data (see 37 for a review). Differences in [Lac - ] might become clearer with measurements conducted during exercise, which was not possible in this experimental setup. In this study, maximum values measured after exercise might not reflect the metabolic state during exercise. Some authors also emphasized the relevance of individual physical fitness and exercise intensity 20 as well as recruited muscle mass 43 on lactate production during hyperoxic exercise. In line with our findings, Pederson et al. reported only non-significantly lower [Lac - ] during submaximal exercise involving small muscle groups 44 . Although these differences between underwater fin-swimming and modalities like running and cycling might explain our findings, new technologies for continuous underwater lactate measurements should be employed in future studies.
TTE and RPE, which did not differ between conditions in our study, most likely depend on exercise modality (i. e. running vs. cycling), the applied exercise test (i. e. time trials, constant work rate, incremental exercise), exercise duration, and F I O 2 37 . Some studies reported a prolonged TTE and RPE in hyperoxic settings 3 23 37 45 , whereas Peeling et al. observed influences on RPE only with F I O 2 >100 kPa 25 . In the present study, work rate stages during incremental exercise were defined by velocity rather than power. In contrast to exercise in the laboratory, water-resistance underwater increases exponentially with velocity, thus making an increase in work rate more difficult, especially during high-intensity exercise. The absence of a prolonged TTE was likely dependent on the individual fin-swimming efficiency and leg strength, and therefore individual physical exhaustion was not reached in every test. Future studies should investigate these effects for different water depths, PO 2 and prolonged constant work rates.
Conclusions
Our results reveal a significantly lower V̇ E for high-intensity fin swimming (i. e.≥0.6 m·s -1 ) in shallow water in hyperoxia (P I O 2 =56 kPa) compared to normal air. No effects were observed for [Lac - ] max , TTE, and RPE. Hyperoxic gases like EAN40 (=40% O 2 ) are frequently used by sport divers and gas consumption plays a major role in planning and executing dives with a limited gas supply. During a dive at 20 m water depth, our results would suggest 270 L less gas consumed for 10 min of fin-swimming at 0.6 m·s -1 , when using EAN instead of normal air (i. e. 27 bar or~400 psi less in a 10 L dive tank). This velocity can be considered reasonable when swimming against a current. Although exercise intensity, modality, ambient pressure (i. e. increased P I O 2 at depth), and accompanying increased breathing gas density must be considered as modulating factors, the use of hyperoxic gases in sport diving could lower V̇ E in shallow water contexts and therefore increase the duration or safety of the dive with higher gas reserves.
Declaration of Helsinki statement
This study followed the rules of the declaration of Helsinki.
Acknowledgements
This work was supported by the Gesellschaft für Tauch- und Überdruckmedizin (GTÜM). We thank the Diving School “Magic Factory” in Wuppertal, Germany for gas support.
Footnotes
Conflict of interest The authors declare that they have no conflict of interest.
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