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J Exerc Rehabil > Volume 17(4);2021 > Article
Spatenkova, Bednar, Oravcova, Melichova, and Kuriscak: Yogic breathing in hypobaric environment: breathing exercising and its effect on hypobaric hypoxemia and heart rate at 3,650-m elevation


High altitude sojourn is a risk factor for hypobaric hypoxemia and subsequent altitude sickness. The aim of this study was to analyze the effect of new type of yogic breathing—Maheshwarananda’s new Modified Bhujangini Pranayama performed by active yoga practitioners—on the arterial haemoglobin saturation of oxygen (measured by the pulse oximetry - SpO2) and the heart rate compared to normal spontaneous resting breathing. A pilot prospective study was conducted in the Himalayas at an altitude of 3,650 m. We monitored SpO2 and pulse rate in 34 experienced yoga practitioners. Within the 3 measurement days at the altitude of 3,650 m, the mean value of SpO2 increased from 89.11± 4.78 to 93.26±4.44 (P<0.001) after the yogic breathing exercise. No significant changes were observed in pulse rate (P<0.230) measured before and after yogic breathing. The new Yogic breathing—Maheshwarananda’s Modified Bhujangini Pranayama—is increasing the arterial haemoglobin saturation compared to normal resting spontaneous breathing. The heart rate was not affected by this type of yogic breathing.


The high altitudes of the Himalayas are considered to be very demanding and exhausting environment with considerable risk of hypobaric hypoxemia and subsequent altitude sickness. Over the first hours and days of sojourn, the organism commences compensatory processes to mitigate the effects of hypoxia. Ventilation and heart rate are increased, however with no significant increase in stroke volumes (Naeije, 2010). This is a common finding demonstrating reduced plasma volume few days after the acclimatization (Hannon et al., 1969; Siebenmann et al., 2013), being explained by an increased oxygen-carrying capacity of blood unite volume caused by hemoconcentration, hypovolemia, and decreased diastolic filling lowering the stroke volume. During prolonged sojourn at higher altitudes, an enhanced erythropoesis results in higher production of haemoglobin mass and allows for a partial or full replenishment of circulatory blood volume and improvement of diastolic functions of the heart (Bärtsch and Saltin, 2008). The effects of hypobaric hypoxia and corresponding physiological adjustments depend naturally not only on the actual elevation but also on the level of physical activity (Deweber and Scorza, 2010; Khodaee et al., 2016; Wolfel et al., 1991) and rate of ascent (Hainsworth et al., 2007).
Increased ventilation at higher altitudes causes a respiratory alkalosis that is counter-balanced within 1 day at altitudes around 2,200 m above sea level, while remains incomplete at an altitude around 4,100 m (Dempsey et al., 1972; Lundby et al., 2004). Full and partial-to-full compensation of respiratory alkalosis is accomplished by increased renal bicarbonate excretion that is resulting in a reduced buffer capacity of the blood plasma (Böning et al., 2008). Hypoxia is a well-known potent condition which activates a sympathetic nervous system response via known (chemoreceptor and baroreceptor reactions, pulmonary hypertension due to vasoconstriction in lungs; Hainsworth et al., 2007), and also via less known, or yet undiscovered mechanisms (deployed likely in more extreme and less explored conditions). Generally speaking, the endogenous homeostatic systems carry out automatically the inherent sequences of compensatory reactions, yet performing adaptive resetting of parameters being regulated, doing so according to an actual body state and anticipatory systems working based on experience and memory. In addition to that, there is a not very well explored space for voluntary control that can partially modify the autonomous reactions, including the alteration of breathing pattern, and this is what we like to address here within the scope of regulatory physiology, yogic exercise, and yogic breathing.
Bernardi et al. (2007) have shown that a yoga-derived respiratory technique or even simple regularization of breathing at a slow rate could increase the HbO2 saturation and exercise capacity in chronic heart failure. Analogous respiratory patterns in normal individuals could have a similar effect during exposure to hypobaric hypoxia, conditions encountered during a high-altitude sojourn. They mentioned that practitioners of yoga successfully adapt to high altitudes owing to the ventilation pattern controlled voluntarily by yoga supervision, with a smaller decline in oxygen saturation (Bernardi et al., 2001) compared to normal spontaneous breading. Miles (1964) observed that practicing Pranayama (a type of yoga breathing exercise) could have a positive role in physiological adjustments to high altitudes and improve the delivery of oxygen to compensate an acute phase of hypoxia. It was also found that a lower frequency of breathing under yogic exercising reduces the sensitivity of hypoxic and hypercapnic chemo-reflex (Spicuzza et al., 2000), what along with the breathing pattern is discussed and studied further by Bernardi et al. (2007) focusing on Caucasian yoga trainees and Himalayan monks and Sherpas (compared with a respective intra-ethnic control group). Bhujangini Pranayama studied in this work is a type of yogic breathing with slow and deep inspirations through both nostrils and slow expirations through the mouth. Around 90% of Himalayan Sherpas and monks exhibit the breathing pattern that is very similar to the “yogic breathing” with slow breathing rates. Himashree et al. (2016) published a study on 200 soldiers at an altitude of 3,445 m, demonstrating that practitioners of yoga showed improvement in relevant biochemical parameters at this altitude, compared to the control group. It is long been suggested that comprehensive yoga exercises, via consciously and voluntarily controlled respiration pattern, can induce hypometabolic status and allow trainees to tolerate hypoxia more easily (Wallace et al., 1971), indicating that this can be in some respects a good strategy to cope with high altitude hypoxia (Bernardi et al., 2007).
The aim of this pilot study was to find out whether the new yogic breathing—the Maheshwarananda’s Modified Bhujangini Pranayama—increases the saturation of oxygen in the arterial blood (measured by SpO2 sensor) at an altitude of 3,650 m in active yoga practitioners. Another goal of this study was to see the effect of this yogic breathing on the heart rate.



An international pilot prospective one-group study was conducted in September 2018 at Nanda Devi National Park in the Alakhpuri Mountains in the Indian Himalayas at an altitude of 3,650 m. The study included 34 subjects with mean age 50.62± 13.12 years (16–74 years old), 10 men (29.41%) with mean age 44.40±13.66, and 24 women (70.59%) with mean age 53.21± 12.25. Most individuals were from Slovakia (24, 70.59%), fewer from Czechia (9, 26.47%), and one participant (2.94%) was from Croatia. These 34 subjects were included in one study group.
The study was approved by Ethics Committees No. 8918 of the University Hospital with the Polyclinic of F. D. Roosevelt Banska Bystrica, Slovakia, which had approved the clinical use of our new, easier modification of Maheshwarananda’s Bhujangini Pranayama.
Travel schedule: (a) 2 days at an altitude of 372 m in Rishikesh (time T0) upon arrival at New Delhi airport; (b) 2 days at an altitude of 3,300 m in Badrinath (time T1) - this altitude was reached during one day via bus transportation; (c) 6 days spent in camp at an altitude of 3,650 m (3 of these 6 days were measurements days: 3rd day=T2, 4th day=T3, and 5th day=T4, on 6th day, participants were leaving the camp).
Inclusion criteria were defined as (a) yoga exercisers with at least 5-year experience in the system Yoga in Daily Life (a detailed description of this system and further references related to it could be found in Pukšić et al. 2021); (b) daily practice of a modified Bhujangini Pranayama breathing exercise in the camp for 3 consecutive days; (c) no chronic disease; (d) nonsmokers; (e) lactovegetarians; (f) teetotal; (g) treatments - medications during the study: all medications finished on T4, 2 subjects took two 125-mg doses of Acetazolamide per day from T1 to T4 and 5 subjects took two 250-mg doses of Ginkgo biloba per day from T0 to T4, while 400 mg of Ibuprofen was taken sporadically due to the headaches from T1 to T4, no other drugs were taken by the subjects. Taking into consideration described inclusion criteria, especially the long-term yoga experience of tested subjects, we believe, the study group we worked with can be considered quite homogenous in terms of giving reproducible data regarding the studied breathing pattern.
We measured two parameters: (a) SpO2 and (b) pulse heart rate (also measured with the pulse oximeter). The parameters were measured before and after Modified Bhujangini Pranayama breathing exercise on the right forefinger, one subject per time, by two physicians, using the finger pulse oximeter SPO25 (type SPO25, model no. SPO18, company name: Hans Dinslage GmbH, Uttenweller, Germany; one device was used for all measurements, two doctors worked simultaneously giving instructions to the subject, watching the procedure, the position of the body and proper placement of the oximeter, its reading, etc.). The SpO2 device we worked with is the sensor with declared “accuracy” ±2% for saturation range 70%–100% and with ±2% beats/minute for the heart rate within 30 bpm–250 bpm range. The measurements were made at 3 different altitudes: (a) 372 m (time T0); (b) 3,300 m (time T1); (c) 3,650 m (time T2, T3 and T4).
We tested Maheshwarananda’s new Modified Bhujangini Pranayama type of breathing, which differs from a standard Bhujangini Pranayama type of breathing in a way how and onto which part of the respiratory system is the mental concentration of the subject focused. The standard Pranayama breathing exercise aims the attention on perceiving the feelings in the throat, whereas in the modified version the emphasis is put on perceiving an air volume and its flow in the lungs and chest region. The pattern of breathing in both yogic breathing exercises is very similar, consisting of slow, deep inspiration through both nostrils and a slow, prolonged expiration through the mouth (for additional information and further references see Pukšić et al. 2021). Expiration is longer than inspiration (2–3 times), the duration of expiration varies according to the individual tolerance to prolonged expirations. The yoga breathing and oximetry measurements took place in a yoga sitting position, either with crossed legs or sitting on heels (type of sitting was voluntary), but the back was straight, upper limbs were bent at the elbow joints, and subjects laid on the knees with eyes closed. Yoga breathing exercises were conducted outdoors and everybody was warmly dressed and felt thermo-neutral.

Study protocol

The yoga breathing examination protocol (Protocol) was conducted early morning and also at lunchtime. It was made up of the following phases: 1. normal breathing lasting 3 min: upon arrival of each tested subject at the measurement site (reached by short nonstrenuous walking), each individual was instructed to stay approximately 3 min at rest, in the sitting position, and breath spontaneously (normal, quiet breathing); 2. immediately after the first phase, the SpO2 and pulse heart rate was measured (reading lasted approximately 1 min) with pulse oximeter placed on the right index finger. During this phase subjects were sitting with back in a straight position and continuing normal, quiet resting breathing. These measurements were taken as reference breathing pattern – the control breathing pattern in our study; 3. then each individual started the Modified Bhujangini Pranayama breathing, completed 20 breathing cycles (this phase lasted 2–3 min, so the respiratory frequency ranged from 6 to 10 breaths per min) and indicated the end of this phase by raising the index finger; 4. then again, the reading of SpO2 and pulse heart rate started immediately afterwards and lasted approximately 1 min.

Statistical analysis

Data analysis was performed in MS Excel 2013 with descriptive parameters processed in XLSTAT. We used the Shapiro–Wilk test and Jarque–Bera test to verify the normality of the data. The statistical significance of measured value differences was verified using pair tests: t-test: paired two samples for means and Wilcoxon signed-rank test. Multiple pairwise comparisons using Nemenyi’s procedure (after Friedman test/two-tailed test) were used for SpO2 at the altitude of 3,650 m after Pranayama between days. One-way repeated-measures analyis of variance with subsequent Tukey was used in pulse at 3,650 m after Pranayama between days (analysis of the differences between the categories with a confidence interval of 99%).


Out of the 34 yoga practitioners, 5 were excluded from the study due to an acute upper and lower respiratory tract inflammation and camp virus at 3,650 m. Twenty-nine remaining subjects (mean age, 49.76±13.11 years), made up by 20 women (mean age, 52.40± 11.94 years, from 28 to 74 years) and 9 men (mean age, 43.89± 14.38 years, from 16 to 67 years) underwent the measurement Protocol (see MATERIALS AND METHODS section). The initial measured parameters during the normal resting breathing (phase 2 of the Protocol - before yoga breathing exercise) at individual altitudes are shown in Table 1. Table 2 shows analyzed parameters before (phase 2 of the Protocol, normal resting breathing) and after the yogic breathing (phase 4 of the Protocol) and demonstrates a statistically significant increase of SpO2 after the yoga breathing exercise. At day T2, the whole group’s SpO2 average increased from 87.93 to 93.21, at T3 from 89.00 to 92.19, and at T4 from 90.38 to 94.31 (averaging over T2, T3, and T4 measurements resulted in an overall increase of SpO2 from 89.11± 4.78 to 93.26±4.44, P<0.001). Similar results were seen within the distinct age and gender subgroups (see Table 2), indicating that the SpO2 in various age and gender groups changed in the same way due to the yogic breathing, indicating the tested age range or gender did not interfere significantly with measured values of SpO2, assuming all participants mastered this type of yoga breathing relatively equally.
The initial SpO2 values (normal resting breathing - phase 2 of the Protocol) at various altitudes are shown in Table 1. Initial values of SpO2 during the three subsequent days (T2–4, see also Fig. 1) demonstrate a trend of progressive increase of SpO2 at 3,650 m, and may indicate an early phase of acclimatization. Statistically nonsignificant changes were observed in heart rate before (phase 2) and after the yoga breathing exercise (phase 4 of the Protocol) what indicates the tested type of voluntary yogic breathing did not affect the heart rate noticeably.
Table 3 shows the SpO2 as well as the pulse rates after the yogic breathing over the consecutive days T2–3, which indicate a lack of any significant trend. When testing the effect of eating, we found it also did not have any statistically significant association with SpO2 changes induced by the yogic breathing exercise (see Fig. 2).


The regions of high-altitude elevation represent a very demanding area, exhausting quickly physical reserves of the body and posing a significant risk of hypobaric hypoxemia, tissue hypoxia, and subsequent altitude sickness. Any physical activity under the conditions of hypobaric hypoxia becomes more strenuous and further challenges the acute phase of physiological responses, the acclimatization phase, and also the late adaptation mechanisms of our body at high altitudes (Deweber and Scorza, 2010; Khodaee et al., 2016; Wolfel et al., 1991). Modulation of autonomous homeostatic mechanisms reducing the effects of hypoxia is one of the possible strategies that can adjust the accommodation to these demanding conditions, and as some studies indicate (Bernardi et al., 2001, 2007; Miles, 1964; Spicuzza et al., 2000), a voluntary alteration of spontaneous breathing pattern by practicing yoga breathing exercises could be a very interesting approach. Our study is the first of its kind that is studying the effect of new yogic breathing exercise – Maheshwarananda’s Modified Bhujangini Pranayama - on the arterial HbO2 saturation levels (measured by SpO2 sensor) at higher altitudes. The essence of this new breathing method resides in the conscious focusing of subject’s concentration on perceiving the breathing in the lungs and chest region instead of perceiving it in the throat. According to our study’s participants, and to our own experience, this new type of yogic breathing exercise is considered less demanding and more practicable or feasible compared to the classical Pranayama style of breathing exercise. To ensure the proper practicing of this breathing exercise, enhancing thus the reproducibility of tested breathing pattern, we worked with yoga practitioners who had been practicing the system Yoga in Daily Life for at least five years. The second reason we worked with experienced yoga practitioners was the requirement of the correct sitting position, which is central in the Pranayama system. All subjects practiced this position with an upright spine and corresponding pelvis position that is inherent in a yoga practice.
A statistically significant increase in blood oxygenation was observed after series of 20 breaths of Modified Bhujangini Pranayama breathing exercise, demonstrated by an elevation of SpO2 (increased from 89.11 to 93.26, P<0.001, averaged over 3 days T2–4, see Table 2). We can interpret these results as showing that this type of breathing can transiently increase the blood oxygenation which would prevail minutes after this type of yogic breathing. Depending on the frequency of practicing, we can assume that the studied Bhujangini Pranayama breathing pattern can help individuals to assist physiological adjustments to higher altitudes if practiced adequately enough during the day. It is reasonable to assume that similar consciously controlled breathing patterns, increasing the alveolar ventilation over values found in spontaneous breathing at similar altitudes, will very probably have comparable effects on blood oxygenation (this assumption, however, was not tested by our Protocol). We can speculate why physiological mechanisms do not cause us to react to higher altitudes similarly - by adjusting the respiratory patterns alike the tested yogic breathing and achieving thus higher arterial saturation levels? We can ponder that our regulatory circuits work with a limited amount of information, being received mainly from unconsciously perceived internal sensors, and do not anticipate or process preferentially the information contained in human plans or intentions to stay days or weeks at high altitudes, and on the top of that, doing a strenuous and highly motivated physical exercise. We believe that such body behavior is rationally reasoned - in order to do an instant, reliable and targeted homeostatic interventions, autonomous regulation mechanisms must process relevant and real-time information gathered mainly from body chemo- or presso-sensors (Hainsworth et al., 2007). However, in order to incorporate or fuse optimally complex voluntary plans or objectives into involuntary basic autonomous reactions, a conscious involvement interfering with/or overriding autonomous modulations (including a breathing pattern generation) could under specific conditions be very advantageous, as it could be the case regarding voluntary modifications of respiration that are characteristic to yogic breathing exercises. It is interesting that as a time period an individual spends at higher altitudes prolongs, longer-term compensations start to take place (respecting already long-lasting effect of high altitude on the body), carrying out more optimized and specialized adaptations. This could possibly be a strategy evolved by Himalayan Sherpas and monks, exhibiting a different respiratory pattern than low altitude population, being similar in its nature to the “yogic breathing” (Bernardi et al., 2007). Despite hypoxia is considered certainly a strong stressing factor starting stereotypic respiratory compensatory mechanisms, the signals received from various cortical areas (conscious modulation), limbic system (emotions, motivations), and hypothalamus (circadian rhythms, food intake, higher autonomous reactions) represent the substrate that eventually introduces the demanded complex information refining the physiological regulations (Myers, 2017), making them very effective, especially in less standard or extreme conditions, provided individuals are mentally and physically healthy.
We present this study to demonstrate that the voluntary alteration of breathing pattern can be helpful in hypoxic conditions. Yoga, which concentrates on a conscious control of breathing could be considered as safe and proven way to introduce such voluntary supervision. According to Bernardi et al. (2001), adopting slow and deep breathing could cause a diaphragm to move better, resulting in an improved ventilation accompanied with complete mobilization of respiratory muscles, achieved in well-trained yoga practitioners after a long-term exercise. The benefits of yoga-like breathing in hypoxic environments certainly vary from person to person, depending on the instantaneous and long-term tuning of sensitive homeostatic systems (Himashree et al., 2016). Adequate tuning of this system can result in an improvement of oxygenation observed by yoga exercises via indirect modulation of chemoreceptor reactions (Bernardi et al., 2001; Plataki et al., 2013) - it has been documented that slow breathing rate can modulate chemo-reflex sensitivity (Spicuzza et al., 2000), decrease the sympathetic activation of acute altitude exposure and change the vagal activity (Telles et al., 2014) - effects that are being regularly communicated by Pranayama practitioners.
In this study, we also evaluated the influence of eating on the SpO2 levels measured after the yogic breathing, and we did not reveal any association with SpO2 values. The mean pulse rate values (measured together with the SpO2) at T2–4 were also not changed significantly (P<0.230) due to the effect of yogic breathing, demonstrating that the heart rate was affected minimally by Bhujangini Pranayama breathing in our subjects. This finding is very interesting because the tested yoga breathing was increasing the SpO2 levels yet doing that without apparent activation of a sympathetic nervous system and corresponding increase of oxygen demands of working myocardium. Despite a majority of papers that are focusing on the yogic breathing’s effect on the heart rate speak about its decrease due to the yogic exercising (Ankad et al., 2011; Krishna et al., 2014; Pramanik et al., 2010; Raghavendra et al., 2013; explaining that as a consequence of decrease in sympathetic/parasympathetic balance), some of them are also referring about its increase following the yogic breathing exercising (Mason et al., 2013; Mohan et al., 1986). It seems that whether the heart rate will be increased or decreased depends on a particular breathing technique, on a proportion between inspiration and expiration period, an expiratory pressure (e.g., ujjayi type of resistance breathing) or an O2 partial pressure playing important roles in the resulting SpO2 changes (Mason et al., 2013).
As there is a continuous scientific debate focusing on the precision and accuracy of oximetry devices used in various fields of medicine (Lauterbach 2020; Lipnick et al., 2016; Luks and Swenson, 2020), we would like to discuss some of oximetry limitations and their impact on our results. It has to be mentioned that every device reads the true real values with a certain level of precision and accuracy. Medical devices marketed for medical use in the United States are required by Food and Drug Administration to have the root mean square error (RMSQ) less than 3% at SaO2 levels within the range of 70%–100% (ISO 80601-2-61, 2017). RMSQ reflects both the systematic (biased) error as well as the random error. The systematic error, resulting in an offset from the true value affects the measurement in a constant way with repeated measurements and its effect is thus predictable (the offset may however depend on the actual true value of measured quantity). The random error is causing one measurement to differ from the next, is unpredictable, and is causing fluctuation around the true value. One systematic study analysing the precision of few oximeters (Lipnick et al., 2016; focusing on similar-grade sensors we worked with) showed that the systematic error, expressed as “mean bias” (offset from the true value) was SaO2 value-dependent, and in average largest (−4.56% to 7.53%) for SaO2 range of 70%–80%. For the SaO2 range between 80%–90%, it was from −2.73% to 5.44% and for 90%–100% the offset was −0.85% to 1.2%. These findings, however, demonstrate that despite the systematic errors between various sensor types differed considerably, for one piece of device and a given true value of SaO2 being measured, it was rather constant and its real impact on measured values is basically aberration of scaling and shifting of the ideal measuring gauge by some (device dependent) but constant factor (or function) that can be empirically estimated by detailed systematic testing of a given oximeter. However, even if that scaling factor (or function) is not known to the experimenter (or us), it is still meaningful to do the SpO2 measurement without significant depreciation of its accuracy, provided all values are measured with the same piece of device and the hypothesis of equal means between the two groups is being statistically tested (after finite number of repeated measurements the difference between two different real SpO2 values must become apparent, no matter how large is the systematic error, because an ordering of values is not affected by that error).
The random error, on the other hand, would increase the number of samples needed to reject the null hypothesis at the given level of significance. However, that intrinsic random error of the SpO2 sensor is considered to be only one of many kinds of random observational errors (or natural fluctuations) interfering with the true readings of SaO2 values (which may depend on the placement of SpO2 sensor, pulse quality, possible movement of the finger, duration of the measurement, skin pigmentation, etc.; Chan et al., 2013). Common statistical inferential methods we used in our study do process that inherent random error (as well as any other natural fluctuations smearing the true value) already in their statistics, incorporating it in the final P-value at which the null hypothesis is tested. Counting with the random error originating from our sensor estimated by its manufacturer to be close to ±2%, being comparable with an average value of some of the SpO2 sensors of our quality class or grade (Lipnick et al., 2016; with random error reaching 3.4% in average - expressed as SD of true SpO2 value), and taking into account our P-values were smaller than 0.001 in many of our results, we would like to conclude that it is unlikely the random intrinsic error of our SpO2 sensor has affected our statistical inference significantly (the same argumentation should hold, according to our reasoning, for measurement of the heart rate).
Another issue related to the SpO2 reading by pulse oximeters is time delays between ventilation and SpO2 changes that commonly range, due to the blood perfusion delays into different parts of our body, from 20 sec to 30 sec (if the oximeter is on the earlobe, or forehead), up to 2 min if the oximeter is on the finger (MacLeod et al., 2005; Severinghaus and Kelleher, 1992). Because in our SpO2 measurements the period of yogic breathing lasted from 2 to 3 min, which was immediately followed by the period of SpO2 measurement (as mentioned in MATERIALS AND METHODS section), we conclude those delays did not affect measured SpO2 values and their correlation with the yogic breathing.
Other limitation we would like to discuss here is that we managed to accomplish only three series of measurements at an altitude of 3,650 m. Secondly, we did not observe the fading or time dynamic of measured breathing effects on SpO2 levels after the cessation of breathing exercise. The acclimatization period was minimal in our yoga practitioners and thus its effect was not studied as well as altitude sickness manifestations were not analyzed in this pilot study. Further studies are planned to extend our results, including not only experienced yoga practitioners but also a broader spectrum of population capable of adopting similar breathing exercising while staying at high altitudes.


The authors received no financial support for this article. All participants were fully informed regarding this breathing method and agreed to participate in the study and gave consent to publication. We thank the translator and native English speaker Henry Morgan for the correction of the English text.



No potential conflict of interest relevant to this article was reported.


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Fig. 1
Changes in oxygen saturation after Pranayama breathing exercise for 3 days at 3,650 m (a=before Pranayama breathing exercise, b=after Pranayama breathing exercise, T2=3rd day, T3=4th day, T4=5th day). SEM, standard error of mean; CI, confidence interval.
Fig. 2
Changes in oxygen saturation after Pranayama breathing exercise before and after a meal at 3,650 m. SEM, standard error of mean; CI, confidence interval.
Table 1
The initial (phase 2 of the protocol - before Pranayama breathing exercise) saturation of oxygen (% SpO2) and pulse rate at individual altitude elevations (T0 - 372 m, N=34; T1 - 3,300 m, N=23; 3 days at 3,650 m: T2=3rd day, N=29; T3=4th day, N=27; T4=5th day, N=29)
Parameter T0 - 372 m T1 - 3,300 m T2 - 3,650 m T3 - 3,650 m T4 - 3,650 m

SpO2 (% SpO2) Pulse (beats/min) SpO2 (% SpO2) Pulse (beats/min) SpO2 (% SpO2) Pulse (beats/min) SpO2 (% SpO2) Pulse (beats/min) SpO2 (% SpO2) Pulse (beats/min)
Total group 96.44±1.64 75.82±10.16 88.57±2.98 86.39±14.79 87.93±4.93 84.07±16.06 89.00±4.87 81.74±17.49 90.38±4.38 77.34±16.23

Male 97.00±1.15 69.00±12.36 88.22±4.15 81.78±17.25 87.33±4.09 80.11±19.64 89.38±2.88 66.63±14.28 91.00±3.24 67.56±16.52

Female 96.21±1.77 78.67±7.73 88.79±2.08 89.36±12.76 88.20±5.35 85.85±14.39 88.84±5.56 88.11±14.77 90.10±4.85 81.75±14.40

Age <45 97.18±0.87 74.46±11.34 90.27±1.90 87.64±14.91 87.90±3.38 84.70±15.39 90.89±2.76 81.33±18.32 91.10±2.64 75.30±18.98

Age 45–60 96.36±1.91 76.29±11.30 87.20±3.23 85.00±16.35 89.92±3.02 87.42±19.41 89.92±2.23 81.73±16.89 91.33±2.90 78.00±16.19

Age>60 95.67±1.66 76.78±7.33 88.00±2.94 88.00±7.17 84.57±8.24 77.43±9.14 85.29±7.85 82.29±20.05 87.71±7.28 79.14±14.02

Values are presented as mean±standard deviation.

T2=3rd day, T3=4th day, T4=5th day.

Table 2
Changes in oxygen saturation (SpO2) and pulse rate after Pranayama breathing exercise for 3 days at 3,650 m
Parameter No. Oxygen saturation (% SpO2) P-value Pulse rate (beats/min) P-value

Before Pranayama After Pranayama Before Pranayama After Pranayama
3,650 m T2 (before eating)
 Total group 29 87.93±4.93 93.21±3.95 <0.001 84.07±16.06 82.59±16.00 0.158
 Male 9 87.33±4.09 92.56±3.78 0.005 80.11±19.64 80.22±18.49 0.479
 Female 20 88.20±5.35 93.50±4.09 <0.001 85.85±14.39 83.65±15.14 0.131
 Age<45 yr 10 87.90±3.38 92.90±4.36 0.006 84.70±15.39 82.90±16.76 0.309
 Age 45–60 yr 12 89.92±2.02 94.25±3.19 <0.001 87.42±19.41 83.75±18.69 0.007
 Age>60 yr 7 84.57±8.24 91.86±4.60 0.017 77.43±9.14 80.14±1.10 0.141

3,650 m T3 (after eating)
 Total group 27 89.00±4.87 92.19±5.28 <0.001 81.74±17.49 82.33±15.35 0.367
 Male 8 89.38±2.88 92.13±4.52 0.089 66.63±14.28 73.63±13.52 0.048
 Female 19 88.84±5.56 92.21±5.69 0.001 88.11±14.77 86.00±14.88 0.103
 Age<45 yr 9 90.89±2.76 93.89±2.62 0.007 81.33±18.32 83.67±17.31 0.254
 Age 45–60 yr 11 89.82±2.23 91.45±5.59 0.125 81.73±16.89 81.55±14.03 0.472
 Age>60 yr 7 85.29±7.85 91.14±7.29 0.007 82.29±20.05 81.86±17.00 0.455

3,650 m T4 (before eating)
 Total group 29 90.38±4.38 94.31±3.91 <0.001 77.34±16.23 80.52±17.85 0.068
 Male 9 91.00±3.24 95.22±2.44 0.004 67,56±16.52 74.44±16.53 0.051
 Female 20 90.10±4.85 93.90±4.41 <0.001 81.75±14.40 83.25±18.15 0.275
 Age<45 yr 10 91.10±2.64 95.80±2.94 0.002 75.30±18.98 82.10±19.17 0.056
 Age 45–60 yr 12 91.33±2.90 94.17±3.13 0.006 78.00±16.19 80.83±20.93 0.180
 Age>60 yr 7 87.71±7.25 92.43±5.71 0.017 79.14±14.02 77.74±10.94 0.369

3,650 m T2–4
 Total group 85 89.11±4.78 93.26±4.44 <0.001 81.04±16.63 81.80±16.29 0.230
 Male 26 89.23±3.67 93.35±3.76 <0.001 72.17±18.02 75.87±16.91 0.026
 Female 59 89.05±5.23 93.22±4.74 <0.001 85.19±14.51 84.27±15.91 0.220
 Age<45 yr 29 89.93±3.22 94.21±3.52 <0.001 80.41±17.44 82.86±17.16 0.129
 Age 45–60 yr 35 90.37±2.45 94.34±4.17 <0.001 82.40±17.51 82.06±17.73 0.404
 Age>60 yr 21 85.86±7.52 91.81±5.69 <0.001 79.62±14.45 79.91±12.75 0.441

Values are presented as mean±standard deviation.

T2=3rd day, T3=4th day, T4=5th day.

Table 3
Changes in oxygen saturation (SpO2) and pulse rate after Pranayama breathing exercise between individual days at 3,650 m
Parameter Oxygen saturation (% SpO2) P-value Pulse (beats/min) P-value
Sample 1 Sample 2 Sample 1 Sample 2
T2 total vs. T3 total 92.96±3.99 92.19±5.28 0.8495 83.85±15.34 82.33±15.35 0.9298
T2 total vs. T4 total 92.96±3.99 94.52±3.92 0.1822 83.85±15.34 82.63±16.50 0.9572
T3 total vs. T4 total 92.19±5.28 94.52±3.92 0.0558 82.33±15.35 82.63±16.50 0.9974

Values are presented as mean±standard deviation.

T2=3th day, T3=4th day, T4=5th day.

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