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An explorative study of metabolic responses to mental stress and yoga practices in yoga practitioners, non-yoga practitioners and individuals with metabolic syndrome



Stress places a metabolic burden on homeostasis and is linked to heightened sympathetic activity, increased energy expenditure and pathology. The yogic state is a hypometabolic state that corresponds with mind-body coherence and reduced stress. This study aimed to investigate metabolic responses to stress and different yoga practices in regular yoga practitioners (YP), non-yoga practitioners (NY) and metabolic syndrome patients (MS).


YP (n = 16), NY (n = 15) and MS (n = 15) subjects underwent an experimental protocol that comprised of different 5-minute interventions including mental arithmetic stress test (MAST), alternate nostril breathing (ANB), Kapabhati breathing (KB) and meditation (Med) interspersed with 5 minutes of quiet resting (neutral condition (NC)). During the intervention periods continuous body weight adjusted oxygen consumption (VO2ml/min/kg) was measured using open circuit indirect calorimetry with a canopy hood.


This is the first study to report oxygen consumption (OC) in yoga practitioners during and after MAST and the first to report both within and between different populations. The results were analysed with SPSS 16 using 3X9 mixed factorial ANOVAs. The single between-subject factor was group (YP, NY and MS), the single within-subject factor was made up of the nine intervention phases (NC1, MAST, NC2, ANB, NC3, KB, NC4, Med, NC5). The results demonstrated that the regular YP group had significantly less OC and greater variability in their OC across all phases compared to the MS group (p = .003) and NY group (p = .01). All groups significantly raised their OC during the mental arithmetic stress, however the MS group had a significantly blunted post-stress recovery whereas the YP group rapidly recovered back to baseline levels with post stress recovery being greater than either the NY group or MS group.


Yoga practitioners have greater metabolic variability compared to non-yoga practitioners and metabolic syndrome patients with reduced oxygen requirements during resting conditions and more rapid post-stress recovery. OC in metabolic syndrome patients displays significantly blunted post-stress recovery demonstrating reduced metabolic resilience. Our results support the findings of previous randomised trials that suggest regular yoga practice may mitigate against the effects of metabolic syndrome.

Clinical trial number

ACTRN12614001075673; Date of Registration: 07/10/2014.

Peer Review reports


Stress has been defined as a ‘nonspecific response of the body to any noxious stimulus’[1] and the stress response is associated with heightened sympathetic nervous activity and increased energy expenditure along with associated changes in heart rate, breath rate and blood pressure. Stress places a metabolic burden on homeostatic processes and if stress is severe or prolonged, it may lead to disturbed homeostasis, distress and psychophysiological dysfunction[2] with increased resting metabolic rate[3], exacerbation of metabolic dysfunction[4, 5] and acceleration of aging[6] morbidity and mortality[7]. Several longitudinal studies further suggest that severe prolonged stress is associated with the development of metabolic syndrome[4, 8], which is related to impaired mitochondrial functioning and metabolic inflexibility[9].

Metabolic activity, which is maximal during intense physical activity and lowest during resting conditions, increases with both psychological and physiological activity as well as with stress and many pathological conditions[7, 10]. Higher oxygen consumption (OC) is seen with mental arithmetic or video gaming[1113] and OC is reported to be higher in people with pathological conditions such as chronic obstructive pulmonary diseases[14], congestive heart failure[15], insomnia[16], anxiety[17], HIV-AIDS[18, 19] as well as the individual features of metabolic syndrome such as hypertension[20, 21], obesity[22, 23], diabetes[24, 25] and dyslipidaemia[26]. Peak oxygen consumption has also been found to be lower in people with metabolic syndrome[19, 27].

While stress increases metabolic activity and dissociates physiological and psychological processes, relaxation practices tend to induce mind-body coherence or a sense of psychological and physiological equilibrium that counteracts stress by inducing a ‘relaxation response’[28]. Yoga includes a range of mind-body practices that include postures, breathing, meditation and relaxation[29], and studies suggest that a single yoga session can lead to improvements in cognitive performance[30], baroreflex sensitivity, oxygen saturation[3133], sympathovagal balance (HRV)[34] and enhance recovery after stressful stimuli[35, 36]. Further studies suggest that regular yoga practice can effectively mitigate workplace stress[37], examination stress[38, 39], stress-induced inflammation[40], caregiver stress[41] and post-traumatic stress[42].

The stress relieving properties of yoga are associated with induction of a hypo-metabolic or ‘yogic state’ state that is associated with reduced psychophysiological activity and OC[43], with reduction in OC of up to 40% during specific practices[44]. This ‘yogic state’, which corresponds to a state of mind-body coherence, has also been described as the ‘flow state’[45] and is distinct from rest[46], physical relaxation[47] and sleep[48] and may be voluntarily induced while performing fixed physiological workloads[49]. The long term practice of yoga may also enhance metabolic resilience and flexibility. Compared to non-yoga practitioners, regular yoga practitioners are reported to have reduced heart[50], breath, and metabolic rates[51, 52] as well as reduced blood pressure[50, 53] and lipid profiles[54]. Regular yoga practice has also been associated with improved lung function[53, 55] and heart rate variability[56] with the duration of practice directly corresponding to reductions in heart rate (HR), blood pressure (BP) and respiratory rate (RR)[54] and improvements in mindfulness[57] and lipid profiles[54].

While there appears to be a clear relationship between yoga and metabolism, no studies have compared the metabolic response to mental stress in yoga practitioners and non-yoga practitioners or compared OC in yoga practitioners, non-yoga practitioners and metabolic syndrome patients during different yoga practices. To fill this gap, the following explorative study was designed to examine the metabolic responses to stress and different yoga practices and compare the responses of regular yoga practitioners, non-yoga practitioners and metabolic syndrome patients.


Study location

The study took place between November and January 2012 at the Yoga Research laboratory situated at Patanjali Yogpeeth in Haridwar, India. The study was approved by the RMIT University Human Research Ethics Committee and retrospective approval was granted by the ethics committee at Patanjali Yogapeeth.


The study population involved three groups aged 18 years to 55 years all of Indian origin. The groups were:

Yoga practitioner (YP) Group

Consisted of yoga teachers, yoga therapists and yoga active persons with a minimum of 6 months yoga experience who were residents of the Patanjali Yogpeeth campus or surrounding ashrams and were involved in routine ashram life. They practiced yoga for at least 90 minutes daily and were non-smokers on a strict non-alcoholic, vegetarian diet for at least 6 months.

Non-Yoga practitioner (NY) Group

Included temporary residents of Patanjali Yogpeeth and at the time of their participation were all non-smokers on a non-alcoholic, vegetarian diet. Most of the participants in this group had never practiced yoga before, but some had either practiced irregular or recently begun yoga practice (5 days).

Metabolic Syndrome (MS) Group

Included subjects with metabolic syndrome as defined by the International Diabetic Federation[58] and diagnosed by their general practitioner and treated with regular medication or prescribed lifestyle modification. These subjects, who were not residents of the campus and had not previously practiced yoga were asked to maintain a vegetarian diet and refrain from tobacco and alcohol 10 hours prior to their experimental session.

People with any serious medical condition or condition requiring regular analgesic medication, or who were unable to adequately perform the yogic interventions were excluded. Pregnant women and women in their menstrual period were also excluded to avoid the cyclic decrease in basal metabolic rate prior to ovulation[59].

Experimental protocol

All participants were requested to have of minimum 7 hours sleep and avoid strenuous exercise, alcohol and analgesic medication the day before their experimental session. Participants were asked to attend wearing loose comfortable clothing and to fast and abstain from tobacco and caffeine for 8 hours prior to their session. All the sessions for the YP group were conducted between 7 to 9 AM while the sessions for the NY and MS groups took place between 8 to 10 AM except for 5 NY participants who were unavailable in the mornings and had sessions conducted during the afternoon.

On attending the laboratory, participants had the study explained to them in their native language by the experimenter and detailed information with demonstration of the each intervention was provided. The YP were all well versed with the specific yogic interventions. Some of the NY had brief acquaintance with some practices, while none of the MS group had prior experience with yoga and were given time to practice and get acquainted with the interventions till they performed them accurately. As Hindi was the native language of most participants, the consent forms and demographic forms were all translated into Hindi language by professional translators. Reliability and validity of the translation was checked via a different group of professional translators providing back translation to English.

After providing written consent, participants were asked to empty their bladder and switch off their mobile phones. They then had their height, body weight, waist circumference, seated BP and radial artery pulse measured before commencing the experimental session. All measurements were performed by the same experimenter with participants in a recumbent position. The laboratory was maintained at a comfortable temperature of 23 degrees Celsius with subdued lighting.

Before gas exchange recording commenced, subjects were asked to relax and adjust to the environment of the canopy for 10 minutes. The experimental session lasted around 60 minutes and involved multiple phases of equal duration with intervention phases interspersed with the neutral condition of eyes open rest. The experimental sequence involved nine separate 5 minute phases, each preceded by a one minute pause (Pause) during which BP was measured and they were instructed on the next phase (Figure 1). The yogic practices were all based on traditional yoga texts with some slight variation to account for the recumbent position and the requirements of the measuring equipment.

Figure 1
figure 1

Experimental sequences.

Neutral Condition (NC)

During the neutral condition participants were instructed to breathe spontaneously, avoid movement, yawning or mental agitation and have a relaxed quiet mind.

Mental Arithmetic Stress Test (MAST)

The Mental Arithmetic Stress Test (MAST) involved participants having their eyes closed and being instructed in a crisp tone of voice to read a 4 digit number written on a piece of cardboard and to then count backwards by 3 s as quickly and accurately as possible until asked to stop.

Alternate Nostril Breathing (ANB)

The ANB phase involved subjects gently occluding alternate nostrils with their fingers as described by Niranjanananda[60] and continue this cycle rhythmically, soundlessly and effortlessly for 5 minutes until instructed to stop. The experienced yoga practitioners were informed not to perform retention during breathing cycles.

Kapalbhati Breathing (KB)

Participants were instructed to breathe through their nostrils at around 48 BPM (0.8 Hz) and forcefully exhale by contracting their abdominal muscles and then allowing inhalation to occur spontaneously. As this type of yogic breathing can be stressful and result in dizziness or discomfort for some people, the non-yoga and MS group were suggested to continue a cycle of spontaneous breathing in the event of any discomfort.

Meditation (Med)

The meditation phase involved subjects lying with their body relaxed and still and eyes gently closed. Subjects were asked to quietly repeat the mantra ‘AUM’ at their own pace during exhalation.

Outcome measures

Anthropometric measures

Body weight and height were measured using an electronic platform scale (Gold Tec GTEP-100 K), and stadiometer (Seca-274). Waist circumference was measured with subjects standing with arms at their side, feet close together and weight evenly distributed. Measures were taken at the midpoint between the lower margin of the last palpate rib and the top of the iliac crest at the end of expiration to ensure a relaxed abdominal wall as per WHO guidelines[61].

BP measurement

Blood pressure was measured before and after every experimental condition using an automatic digital blood pressure monitor (Welch Allyn, Redding Medical, USA) with the cuff positioned on the left arm at the level of the right atrium. The BP monitor was calibrated and checked using a mercury sphygmomanometer and stethoscope as described by the British Hypertension Society[62].

Metabolic measures

This study focused on weight-adjusted OC (relative OC) which is more reliable when comparing people with different body weight[63].

VO2ml/min/kg (Relative OC) was measured continuously via indirect calorimeter using an open circuit, OC gas analyser. This calorimeter uses a canopy hood and dilution technique that allows measurements to be made with subjects breathing spontaneously or as instructed according to the study protocol without the encumbrance of a face mask, mouth piece or nose clips (Quark CPET, Italy). Before each experimental session the calorimeter was calibrated using a reference gas mixture.

Measurement of O2 consumption and CO2 production was performed at 5 second intervals. Calibration of flow was performed using a certified 3 L calibrated syringe and calibration of the O2 and CO2 gas analysers was performed prior to each experimental session using a certified calibration gas. Before each experimental session a 5 minute steady state was achieved as per previous studies[64]. The calorimeter provided both absolute and relative (per kg of body weight) values.


Demographic details of the Participants (Table 1).

Table 1 Demographic properties of the participants

Statistical analysis

Data were analysed using SPSS 19. Metabolic variable- relative OC (VO2ml/min/kg) was analysed using a series of 3 × 9 mixed factorial ANOVAs. The single between-subjects factor was group (Yoga Practitioner, Non-yoga Practitioners and Metabolic Syndrome); the single within-subjects factor was made up of the nine levels of Phase (NC1, MAST, NC2, ANB, NC3, KB, NC4, MED, NC5). Any significant group by phase interactions were followed by a full analysis of simple main effects. The descriptive values of metabolic variable across nine phases in three groups are shown in Table 2.

Table 2 Means and standard deviations of VO2ml/min/kg of all three groups across nine phases

Inferential results for metabolic variable (VO2ml/min/kg)

Figure 2 shows the pattern of changes in relative oxygen consumption (VO2/min/kg) for 3 groups over the nine experimental phases.

Figure 2
figure 2

Pattern of change in VO2ml/min/Kg for 3 groups across the nine experimental phases.

Statistical analysis revealed a significant phase by group interaction, Λ = .11, F(16, 72) =8.66, p < .001, ηp 2 = .66, a significant phase main effect, Λ = .04, F(8, 36) =122.25, p < .001, ηp 2 = .96, along with significant group main effect, Group, F (2, 43) = 5.85, p = 006, ηp 2 = .21. The pairwise comparison of the estimated marginal means for the main effect for group revealed a significant difference in relative OC between the YP group and both MS and NY groups, and has been illustrated in Table 3).

Table 3 P values for pairwise comparison of estimated marginal means of VO2ml/min/Kg by group

Table 4 illustrates, p values for pairwise mean comparisons based on the analysis of estimated marginal means with Bonferroni-adjusted α values revealed significant differences between the YP and MS groups in phases NC1, NC2, ANB, NC3, NC4, Med and NC5. Significant differences were also found between the YP and NY groups in phases NC1, MA, NC2, NC3, NC4 and Med. The NY group was significantly different from the MS group at NC2, ANB and NC4.

Table 4 P values for pairwise comparison based of estimated marginal means with Bonferroni adjusted α values

Analysis of the simple main effect for phase within group revealed that the three groups differed significantly in every phase except for during Kapalbhati breathing: phase 1- ‘Neutral Condition 1′ (NC 1), F(2, 43) =7.97, p = .001, ηp 2 = .27; phase 2 ‘Mental Arithmetic Stress Test ’ (MAST), F(2, 43) =3.46, p = .04, ηp 2 = .14; Phase 3- ‘Neutral Condition 2′ (NC 2), F(2, 43) =19.34, p < .001, ηp 2 = .47; Phase 4- ‘Alternate Nostril Breathing’ (ANB), F(2, 43) =9.14, p < .001, ηp 2 = .29; Phase 5- ‘Neutral Condition 3′ (NC 3), F(2, 43) =7.91, p = .001, ηp 2 = .27, Phase 7- ‘Neutral condition 4′ (NC 4), F(2, 43) =14.34, p < .001, ηp 2 = .40; Phase 8- Meditation (Med), F(2, 43) =11.36, p < .001, ηp 2 = .35 and Phase 9- ‘Neutral Condition 5′ (NC 5) F(2, 43) =3.82, p = .03, ηp 2 = .15.

Further, simple main effect analysis for group within phase revealed that all three groups varied significantly across the nine phases: Yoga Practitioners (YP), Λ = .05, F(8, 36) =88.32, p < .001, ηp 2 = .95; Non-yoga Practitioners (NY), Λ = .10, F(8, 36) =41.47, p < .001, ηp 2 = .89 and Metabolic Syndrome (MS), Λ = .19, F(8, 36) =18.54, p < .001, ηp 2 = .80. The YP group demonstrated the largest variability across the nine phases, as evidenced by the higher effect size value of ηp 2 = .95 for the yoga group in the group within phase simple main effect, by comparisons with a figure of ηp 2 = .90 for the NY group and .80 for the MS group. This effect size value is derived from the corresponding F ratios, which also demonstrated considerably more variance in the YP group F (8, 36) =82.86, p < .001, compared with both NY group F (8, 36) =39.68, p < .001 and the MS group F (8, 36) =18.24, p < .001. Across all phases, the yoga practitioner group was significantly different from both the NY group, p < .017 and the MS group, p < .001.

At the level of pairwise comparison for simple main effect of groups within phases, several significant differences were evident in the three groups in different phases (Table 5 describes: p values of comparison of each intervention with pre and post phase).

Table 5 P values for comparison of each intervention with pre and post phase

There is also some evidence indicating that YP group exhibited a higher level of recovery that the other two groups. The effect sized of each group associated with the change from phase 2 to phase 3 revealed a value of d = 0.37 for the MS group, d = 2.05 for the NY group and d = 1.98 for the YP group. The changes from phase 2 to 3 was not significant for MS group but was significant at p = .009 and p < .001 respectively for NY and YP groups.


This observational study found that regular yoga practitioners had significantly less OC and greater variability in their OC across all phases compared to non-yoga practitioners or metabolic syndrome patients. While the YP group had lower baseline OC, their OC increased substantially in response to the active interventions and fully recovered back to baseline levels during resting periods. These findings related to metabolic activity are consistent with previous studies that have found regular yoga practitioners have a lower basal metabolic rate compared to non-yoga practitioners[51, 52] with greater recovery from stress[65, 66].

This is the first study to report OC in yoga practitioners during and after mental arithmetic stress and the first to measure metabolic reactivity and recovery both within and between different participant populations involving metabolic syndrome patients. Our study is also the first to examine OC in yoga practitioners using indirect calorimetry with a ventilatory hood. While other studies have examined yoga using similar indirect calorimetry methods[67], the use of a ventilatory hood is reported to less stressful than calorimetry that uses a mouth piece or mask[68, 69] and hence is likely to have facilitated greater relaxation amongst our participants and therefore more accurate results.

While our study used a rigorous experimental method, it is an observational study rather than a randomised clinical trial and the differential effects between groups may have been due to factors other than their history of yoga practice. The selection of our study population and protocol may have also introduced some bias. For example there were numerous differences between the groups with the MS group being on average 10 years older than the other groups and the baseline OC being lowest in the YP and highest in the MS groups. Furthermore, there were some smokers in the MS group and none in the YP group and the YP group were all well versed with the yoga practices and were also involved in routine ashram life, which included activities such as meditation, yoga philosophy discussions, meetings with spiritual leaders and teachers, Ayurvedic diet and structured daily routines. Some of the YP group were also familiar with the laboratory testing, whereas the NY and MS groups were not well versed with the yoga techniques or the laboratory and were only temporary ashram residents or resided outside the ashram where they were subjected to the stresses of everyday life. This may have led to the NY and MS groups being less relaxed than the YP group and less able to perform the active practices correctly. Some aspect of the yoga interventions also lacked uniformity, for example there was a difference in the breath rate between groups during Kapabhati breathing, due to the advanced nature of these practices, which are difficult to learn and perform by novices. Comparing these practices in novice and advanced practitioners may therefore produce unreliable results unless the practices are specifically paced to achieve uniform breath rates across groups. The timing and sequencing of the different experimental phases may have also influenced the results, as they were of relatively small duration with only brief rest periods that may not have allowed full recovery between the phases. Due to these limitations we have limited our discussion to the analysis of the mental arithmetic stress test, which occurred first in the experimental sequence, and have not discussed the responses to the ANB, KB or meditation practices.

It is evident that mental arithmetic induced a metabolic burden on our participants, with all groups having significantly raised OC during the mental arithmetic phase. Mental arithmetic stress is widely used to elicit β-adrenergic sympatho-adrenal responses in laboratory conditions[12, 70] and cardiovascular reactivity to mental arithmetic-induced stress is reported to be unrelated to personality type[71], yet more pronounced in subjects with high BP[72]. Cardiovascular reactivity to mental stress is also reported to be an independent risk factor for features of metabolic syndrome including hypertension and insulin resistance[70, 73, 74] as well as for atherosclerosis[75] and future cardiovascular risk[76]. However, cardiovascular reactivity is not always associated with negative health outcomes and may be adaptive and reflect behavioural flexibility, energy mobilisation and effective coping rather than pathology[75] as indicated by reports of a negative association between cardiovascular reactivity and obesity, depression and self-reported health[77].

We found that while mental stress placed a metabolic burden on all groups, the MS group had a significantly blunted post-stress recovery. This supports previous suggestions that recovery responses may be a better predictor of subsequent cardiovascular risk than stress-induced reactivity[7881]. Our finding that the YP group had a greater post-stress recovery in oxygen consumption than either the NY or MS group are consistent with reports of greater recovery in heart rate in meditators compared to non-meditators after watching a stressful film[65] and greater recovery in self-reported measures after watching negative emotion-evoking slides[66]. Our results further support suggestions that individuals who are able to rapidly return their cardiovascular activity to baseline following a stressful event are more likely to have better cardiovascular health[75].

While the biological mechanism linking stress responses and cardiovascular diseases and mortality is poorly understood, there is evidence to suggest that cardiovascular responses to psychological stress are associated with increased allostatic load[82] and thus poor cardiovascular health[4]. This may be indicated by changes in the autonomic nervous system, hypothalamic-pituitary-adrenal axis and metabolic, immune, cellular and physiological and psychological changes that include endothelial dysfunction, shortened telomere length and less focused thought processes[6, 8385]. Slower recovery from psychological stress may also reflect a greater allostatic load and reduced sympatho-adrenal flexibility[82], while yoga and meditation appears to enhance adaptability and post-stress recovery[44]. It has been further suggested that the relaxation response may be associated with improved mitochondrial energy production and utilisation that promotes mitochondrial resilience through upregulation of ATPase and insulin function[86].

In our study the YP group had a greater metabolic response to mental arithmetic stress than the other groups as well as having a more rapid recovery. This is consistent with previous studies that suggest that yoga practices enhance autonomic regulatory reflex mechanisms associated with stress[87] and improve autonomic function, pulmonary function and metabolic function[8890]. Single yoga sessions have also been shown to reduce HR and BP in sedentary individuals[91], healthy non-yoga practitioners[35], as well as in patients with hypertension[9294] and congestive heart failure[95]. Regular yoga practice has been further shown to down regulate the HPA axis and sympatho-adrenal pathways with reduction in catecholamine and cortisol levels[29, 41], and improve immune response[38, 87], vascular function[96] and melatonin secretion[97, 98]. Regular yoga practice has also been shown to contribute to cognitive improvement[29] physical relaxation[99] and reductions in emotional distress[100] and anxiety[101].

The results of this study suggest that regular yoga practitioners have enhanced metabolic resilience with reduced basal metabolic demands and enhanced recovery after stress while metabolic syndrome patients have higher basal metabolic demands and blunted post-stress recovery. These results are consistent with other studies that report that regular yoga practice enhances metabolic function and improves obesity[102], dyslipidemia[103], hyperglycaemia[104] hypertension[105, 106] and metabolic syndrome[107109].


Yoga practitioners have reduced oxygen requirements during resting conditions and greater metabolic flexibility compared to non-yoga practitioners and metabolic syndrome patients. Yoga practitioners are also better able to respond to and recover from the increased metabolic burden due to mental arithmetic stress, while metabolic syndrome patients have significantly blunted post-stress recovery. Further, long term studies are needed in order to establish, if regular yoga practices have an influential role in reducing resting metabolic demand. In future, studies should incorporate longer intervention phases to investigate the metabolic reactivity and recovery to stress and to determine if yoga practices are able to enhance metabolic resilience in metabolic syndrome patients.


  1. 1.

    Selye H: The stress of life. 1956, New York: McGraw-Hill

    Google Scholar 

  2. 2.

    Vaccarino V, Bremner JD: Stress response and the metabolic syndrome. Cardiology. 2005, 11 (Part 2): 1-

    Google Scholar 

  3. 3.

    Das SK, Saltzman E, McCrory MA, Hsu LK, Shikora SA, Dolnikowski G, Kehayias JJ, Roberts SB: Energy expenditure is very high in extremely obese women. J Nutr. 2004, 134 (6): 1412-1416.

    CAS  PubMed  Google Scholar 

  4. 4.

    Chandola T, Brunner E, Marmot M: Chronic stress at work and the metabolic syndrome: prospective study. BMJ. 2006, 332 (7540): 521-525. 10.1136/bmj.38693.435301.80.

    PubMed  PubMed Central  Google Scholar 

  5. 5.

    Chen E, Strunk RC, Trethewey A, Schreier HM, Maharaj N, Miller GE: Resilience in low-socioeconomic-status children with asthma: adaptations to stress. J Allergy Clin Immunol. 2011, 128 (5): 970-976. 10.1016/j.jaci.2011.06.040.

    PubMed  PubMed Central  Google Scholar 

  6. 6.

    Epel ES: Psychological and metabolic stress: a recipe for accelerated cellular aging?. Hormones. 2009, 8 (1): 7-22. 10.14310/horm.2002.1217.

    PubMed  Google Scholar 

  7. 7.

    Jumpertz R, Hanson RL, Sievers ML, Bennett PH, Nelson RG, Krakoff J: Higher energy expenditure in humans predicts natural mortality. J Clin Endocrinol Metab. 2011, 96 (6): E972-E976. 10.1210/jc.2010-2944.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Block JP, He Y, Zaslavsky AM, Ding L, Ayanian JZ: Psychosocial stress and change in weight among US adults. Am J Epidemiol. 2009, 170 (2): 181-192. 10.1093/aje/kwp104.

    PubMed  PubMed Central  Google Scholar 

  9. 9.

    van de Weijer T, Sparks LM, Phielix E, Meex RC, van Herpen NA, Hesselink MKC, Schrauwen P, Schrauwen-Hinderling VB: Relationships between mitochondrial function and metabolic flexibility in type 2 diabetes mellitus. PLoS One. 2013, 8 (2): e51648-10.1371/journal.pone.0051648.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Ruggiero C, Metter EJ, Melenovsky V, Cherubini A, Najjar SS, Ble A, Senin U, Longo DL, Ferrucci L: High basal metabolic rate is a risk factor for mortality: the Baltimore longitudinal study of aging. J Gerontol A: Biol Med Sci. 2008, 63 (7): 698-706. 10.1093/gerona/63.7.698.

    Google Scholar 

  11. 11.

    Carroll D, Rick Turner J, Hellawell JC: Heart rate and oxygen consumption during active psychological challenge: the effects of level of difficulty. Psychophysiology. 1986, 23 (2): 174-181. 10.1111/j.1469-8986.1986.tb00613.x.

    CAS  PubMed  Google Scholar 

  12. 12.

    Carroll D, Phillips AC, Balanos GM: Metabolically exaggerated cardiac reactions to acute psychological stress revisited. Psychophysiology. 2009, 46 (2): 270-275. 10.1111/j.1469-8986.2008.00762.x.

    PubMed  Google Scholar 

  13. 13.

    Balanos GM, Phillips AC, Frenneaux MP, McIntyre D, Lykidis C, Griffin HS, Carroll D: Metabolically exaggerated cardiac reactions to acute psychological stress: the effects of resting blood pressure status and possible underlying mechanisms. Biol Psychiatry. 2010, 85 (1): 104-111. 10.1016/j.biopsycho.2010.06.001.

    Google Scholar 

  14. 14.

    Wouters EFM: Nutrition and Metabolism in COPD*. Chest J. 2000, 117 (5_suppl_1): 274S-280S. 10.1378/chest.117.5_suppl_1.274S.

    CAS  Google Scholar 

  15. 15.

    Poehlman ET, Scheffers J, Gottlieb SS, Fisher ML, Vaitekevicius P: Increased resting metabolic rate in patients with congestive heart failure. Ann Intern Med. 1994, 121 (11): 860-862. 10.7326/0003-4819-121-11-199412010-00006.

    CAS  PubMed  Google Scholar 

  16. 16.

    Bonnet MH, Arand DL: Insomnia, metabolic rate and sleep restoration. J Intern Med. 2003, 254 (1): 23-31. 10.1046/j.1365-2796.2003.01176.x.

    CAS  PubMed  Google Scholar 

  17. 17.

    Schmidt WD, O’Connor PJ, Cochrane JB, Cantwell M: Resting metabolic rate is influenced by anxiety in college men. J Appl Physiol. 1996, 80 (2): 638-642.

    CAS  PubMed  Google Scholar 

  18. 18.

    Kosmiski L: Energy expenditure in HIV infection. Am J Clin Nutr. 2011, 94 (6): 1677S-1682S. 10.3945/ajcn.111.012625.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Jae SY, Heffernan KS, Kim DK, Park WH, Choi YH, Kim SH: Cardiorespiratory fitness and incident metabolic syndrome in middle-aged Korean men. Ann Hum Biol. 2013, 41 (5): 477-480.

    PubMed  Google Scholar 

  20. 20.

    Snodgrass JJ, Leonard WR, Sorensen MV, Tarskaia LA, Mosher MJ: The influence of basal metabolic rate on blood pressure among indigenous Siberians. Am J Phys Anthropol. 2008, 137 (2): 145-155. 10.1002/ajpa.20851.

    PubMed  Google Scholar 

  21. 21.

    Kunz I, Schorr U, Klaus S, Sharma AM: Resting metabolic rate and substrate use in obesity hypertension. Hypertension. 2000, 36 (1): 26-32. 10.1161/01.HYP.36.1.26.

    CAS  PubMed  Google Scholar 

  22. 22.

    KRESS J, POHLMAN A, ALVERDY J, HALL J: The impact of morbid obesity on oxygen cost of breathing (V˙o 2RESP) at rest. Am J Respir Crit Care Med. 1999, 160 (3): 883-886. 10.1164/ajrccm.160.3.9902058.

    CAS  PubMed  Google Scholar 

  23. 23.

    Tarantino G, Marra M, Contaldo F, Pasanisi F: Basal metabolic rate in morbidly obese patients with non-alcoholic fatty liver disease. Clin Investig Med. 2008, 31 (1): E24-E29.

    CAS  Google Scholar 

  24. 24.

    Horstmann P: The oxygen consumption in diabetes mellitus. Acta Med Scand. 1951, 139 (4): 326-330.

    CAS  PubMed  Google Scholar 

  25. 25.

    Fisher P, Kleinerman JI: Total oxygen consumption and metabolic rate of patients in diabetic acidosis 1. J Clin Invest. 1952, 31 (1): 126-130. 10.1172/JCI102571.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Wichitsranoi J, Setteasatian N, Settasatian C, Komanasin N, Jetsritrakul Y, Leelayuwat N: Impaired aerobic capacity in Thai Dyslipidemias. Thai J Physiological Sci. 2008, 20 (2): 62-69.

    Google Scholar 

  27. 27.

    Valkeinen H, Hajjar I, Hu K, Manor B, Wisocky J, Novak V: Effects of an exercise program on physiological functions in postmenopausal women with metabolic syndrome. Int J Gerontol. 2013, 7 (4): 231-235. 10.1016/j.ijge.2013.05.002.

    Google Scholar 

  28. 28.

    Benson H, Greenwood MM, Klemchuk H: The relaxation response: psychophysiologic aspects and clinical applications. Psychiatry Med. 1975, 6 (1–2): 87-98.

    CAS  Google Scholar 

  29. 29.

    Granath J, Ingvarsson S, von Thiele U, Lundberg U: Stress management: a randomized study of cognitive behavioural therapy and yoga. Cognit Behav Therap. 2006, 35 (1): 3-10. 10.1080/16506070500401292.

    Google Scholar 

  30. 30.

    Gothe N, Pontifex MB, Hillman C, McAuley E: The acute effects of yoga on executive function. J Phys Act Health. 2013, 10 (4): 488-495.

    PubMed  Google Scholar 

  31. 31.

    Mason H, Vandoni M, Debarbieri G, Codrons E, Ugargol V, Bernardi L: Cardiovascular and respiratory effect of yogic slow breathing in the yoga beginner: what is the best approach?. Evid Based Complement Alternat Med. 2013, 2013: 743504-

    PubMed  PubMed Central  Google Scholar 

  32. 32.

    Bernardi L, Gabutti A, Porta C, Spicuzza L: Slow breathing reduces chemoreflex response to hypoxia and hypercapnia, and increases baroreflex sensitivity. J Hypertens. 2001, 19 (12): 2221-2229. 10.1097/00004872-200112000-00016.

    CAS  PubMed  Google Scholar 

  33. 33.

    Bernardi L, Sleight P, Bandinelli G, Cencetti S, Fattorini L, Wdowczyc-Szulc J, Lagi A: Effect of rosary prayer and yoga mantras on autonomic cardiovascular rhythms: comparative study. BMJ. 2001, 323 (7327): 1446-1449. 10.1136/bmj.323.7327.1446.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Huang FJ, Chien DK, Chung UL: Effects of Hatha yoga on stress in middle-aged women. J Nurs Res. 2013, 21 (1): 59-66. 10.1097/jnr.0b013e3182829d6d.

    PubMed  Google Scholar 

  35. 35.

    Sharma G, Mahajan KK, Sharma L: Shavasana–Relaxation technique to combat stress. J Bodyw Mov Ther. 2007, 11 (2): 173-180. 10.1016/j.jbmt.2007.01.002.

    Google Scholar 

  36. 36.

    Bera TK, Gore MM, Oak JP: Recovery from stress in two different postures and in Shavasana - A yogic relaxation posture. Indian J Physiol Pharmacol. 1998, 42 (4): 473-478.

    CAS  PubMed  Google Scholar 

  37. 37.

    Hartfiel N, Burton C, Rycroft-Malone J, Clarke G, Havenhand J, Khalsa SB, Edwards RT: Yoga for reducing perceived stress and back pain at work. Occup Med (Lond). 2012, 62 (8): 606-612. 10.1093/occmed/kqs168.

    CAS  Google Scholar 

  38. 38.

    Gopal A, Mondal S, Gandhi A, Arora S, Bhattacharjee J: Effect of Integrated Yoga Practice on immune response in examination stress- A preliminary Study. Int J Yoga. 2011, 4 (1): 26-32. 10.4103/0973-6131.78178.

    PubMed  PubMed Central  Google Scholar 

  39. 39.

    Malathi A, Damodaran A: Stress due to exams in medical students - Role of yoga. Indian J Physiol Pharmacol. 1999, 43 (2): 218-224.

    CAS  PubMed  Google Scholar 

  40. 40.

    Yadav RK, Magan D, Mehta N, Sharma R, Mahapatra SC: Efficacy of a short-term yoga-based lifestyle intervention in reducing stress and inflammation: preliminary results. J Altern Complement Med. 2012, 18 (7): 662-667. 10.1089/acm.2011.0265.

    PubMed  Google Scholar 

  41. 41.

    Danucalov MA, Kozasa EH, Ribas KT, Galduroz JC, Garcia MC, Verreschi IT, Oliveira KC, Romani de Oliveira L, Leite JR: A yoga and compassion meditation program reduces stress in familial caregivers of Alzheimer’s disease patients. Evid Based Complement Alternat Med. 2013, 2013: 513149-

    CAS  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Telles S, Singh N, Balkrishna A: Managing mental health disorders resulting from trauma through yoga: a review. Depress Res Treat. 2012, 2012: 401513-

    PubMed  PubMed Central  Google Scholar 

  43. 43.

    Wallace RK, Benson H, Wilson AF: A wakeful hypometabolic physiologic state. Am J Psychol. 1971, 221 (3): 795-799.

    CAS  Google Scholar 

  44. 44.

    Tyagi A, Cohen M: Oxygen consumption changes with yoga practices: a systematic review. J Evidence-Based Complement Altern Med. 2013, 18 (4): 290-308. 10.1177/2156587213492770.

    Google Scholar 

  45. 45.

    Csikszentmihalyi M: Flow: the psychology of optimal experience. 2008, New York: Harper & Row

    Google Scholar 

  46. 46.

    Dillbeck MC, Orme-Johnson DW: Physiological differences between transcendental meditation and rest. Am Psychol. 1987, 42 (9): 879-881.

    Google Scholar 

  47. 47.

    Lehrer P, Schoicket S, Carrington P, Woolfolk RL: Psychophysiological and cognitive responses to stressful stimuli in subjects practicing progressive relaxation and clinically standardized meditation. Behav Res Ther. 1980, 18 (4): 293-303. 10.1016/0005-7967(80)90088-1.

    CAS  PubMed  Google Scholar 

  48. 48.

    Elson BD, Hauri P, Cunis D: Physiological changes in yoga meditation. Psychophysiology. 1977, 14 (1): 52-57. 10.1111/j.1469-8986.1977.tb01155.x.

    CAS  PubMed  Google Scholar 

  49. 49.

    Benson H, Dryer T, Hartley LH: Decreased VO2 consumption during exercise with elicitation of the relaxation response. J Human Stress. 1978, 4 (2): 38-42. 10.1080/0097840X.1978.9934985.

    CAS  PubMed  Google Scholar 

  50. 50.

    Bharshankar JR, Bharshankar RN, Deshpande VN, Kaore SB, Gosavi GB: Effect of yoga on cardiovascular system in subjects above 40 years. Indian J Physiol Pharmacol. 2003, 47 (2): 202-206.

    PubMed  Google Scholar 

  51. 51.

    Chaya M, Nagendra H: Long-term effect of yogic practices on diurnal metabolic rates of healthy subjects. Int J Yoga. 2008, 1 (1): 27-10.4103/0973-6131.36761.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Chaya M, Kurpad A, Nagendra H, Nagarathna R: The effect of long term combined yoga practice on the basal metabolic rate of healthy adults. BMC Complement Altern Med. 2006, 6 (1): 28-10.1186/1472-6882-6-28.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Vyas R, Dikshit N: Effect of meditation on respiratory system, cardiovascular system and lipid profile. Indian J Physiol Pharmacol. 2002, 46 (4): 487-491.

    PubMed  Google Scholar 

  54. 54.

    Vyas R, Raval KV, Dikshit N: Effect of Raja yoga meditation on the lipid profile of post-menopausal women. Indian J Physiol Pharmacol. 2008, 52 (4): 420-424.

    PubMed  Google Scholar 

  55. 55.

    Prakash S, Meshram S, Ramtekkar U: Athletes, yogis and individuals with sedentary lifestyles; do their lung functions differ?. Indian J Physiol Pharmacol. 2007, 51 (1): 76-80.

    PubMed  Google Scholar 

  56. 56.

    Muralikrishnan K, Balakrishnan B, Balasubramanian K, Visnegarawla F: Measurement of the effect of Isha Yoga on cardiac autonomic nervous system using short-term heart rate variability. J Ayurveda Integr Med. 2012, 3 (2): 91-96. 10.4103/0975-9476.96528.

    PubMed  PubMed Central  Google Scholar 

  57. 57.

    Brisbon NM, Lowery GA: Mindfulness and levels of stress: a comparison of beginner and advanced Hatha yoga practitioners. J Relig Health. 2011, 50 (4): 931-941. 10.1007/s10943-009-9305-3.

    PubMed  Google Scholar 

  58. 58.

    IDF: The IDF Consensus Worldwide Definition of the Metabolic Syndrome. International Diabetes Federation; 2005.

  59. 59.

    Sato N, Miyake S, Akatsu J, Kumashiro M: Power spectral analysis of heart rate variability in healthy young women during the normal menstrual cycle. Psychosom Med. 1995, 57 (4): 331-335. 10.1097/00006842-199507000-00004.

    CAS  PubMed  Google Scholar 

  60. 60.

    Saraswati N: Prana, Pranayama, Prana Vidaya. 2005, Munger, Bihar: Bihar School Of Yoga

    Google Scholar 

  61. 61.

    WHO: Waist Circumference and Waist–Hip Ratio (Report of WHO Expert Consultation). Geneva, December 8-11, 2008.

  62. 62.

    O’Brien E, Petrie J, Littler W, Micheal S, Padfield PL, Altam GD, Bland M, Coats A, Atkins N: The British Hypertension Society protocol for the evaluation of blood pressure measuring devices. J Hypertens. 1993, 11 (Suppl 2): S43-S62.

    Google Scholar 

  63. 63.

    McArdle WD, Katch FI, Katch VL: Exercise physiology: nutrition, energy, and human performance. 2010, Philadelphia [u.a.]: Wolters Kluwer, Lippincott Williams & Wilkins

    Google Scholar 

  64. 64.

    Haugen HA, Chan L-N, Li F: Indirect calorimetry: a practical guide for clinicians. Nutr Clin Pract. 2007, 22 (4): 377-388. 10.1177/0115426507022004377.

    PubMed  Google Scholar 

  65. 65.

    Goleman DJ, Schwartz GE: Meditation as an intervention in stress reactivity. J Consult Clin Psychol. 1976, 44 (3): 456-466.

    CAS  PubMed  Google Scholar 

  66. 66.

    Rausch SM, Gramling SE, Auerbach SM: Effects of a single session of large-group meditation and progressive muscle relaxation training on stress reduction, reactivity, and recovery. Int J Stress Manag. 2006, 13 (3): 273-290.

    Google Scholar 

  67. 67.

    Hagins M, Moore W, Rundle A: Does practicing hatha yoga satisfy recommendations for intensity of physical activity which improves and maintains health and cardiovascular fitness?. BMC Complement Altern Med. 2007, 7: 40-10.1186/1472-6882-7-40.

    PubMed  PubMed Central  Google Scholar 

  68. 68.

    Roffey DM, Byrne NM, Hills AP: Day-to-day variance in measurement of resting metabolic rate using ventilated-hood and mouthpiece & nose-clip indirect calorimetry systems. JPEN J Parenter Enteral Nutr. 2006, 30 (5): 426-432. 10.1177/0148607106030005426.

    PubMed  Google Scholar 

  69. 69.

    Compher C, Frankenfield D, Keim N, Roth-Yousey L: Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006, 106 (6): 881-903. 10.1016/j.jada.2006.02.009.

    PubMed  Google Scholar 

  70. 70.

    Flaa A, Aksnes TA, Kjeldsen SE, Eide I, Rostrup M: Increased sympathetic reactivity may predict insulin resistance: an 18-year follow-up study. Metabolism. 2008, 57 (10): 1422-1427. 10.1016/j.metabol.2008.05.012.

    CAS  PubMed  Google Scholar 

  71. 71.

    Delistraty DA, Greene WA, Carlberg KA, Raver KK: Cardiovascular reactivity in type A and B males to mental arithmetic and aerobic exercise at an equivalent oxygen uptake. Psychophysiology. 1992, 29 (3): 264-271. 10.1111/j.1469-8986.1992.tb01696.x.

    CAS  PubMed  Google Scholar 

  72. 72.

    Flaa A, Mundal HH, Eide I, Kjeldsen S, Rostrup M: Sympathetic activity and cardiovascular risk factors in young men in the low, normal, and high blood pressure ranges. Hypertension. 2006, 47 (3): 396-402. 10.1161/01.HYP.0000203952.27988.79.

    CAS  PubMed  Google Scholar 

  73. 73.

    Carroll D, Ginty AT, Der G, Hunt K, Benzeval M, Phillips AC: Increased blood pressure reactions to acute mental stress are associated with 16-year cardiovascular disease mortality. Psychophysiology. 2012, 49 (10): 1444-1448. 10.1111/j.1469-8986.2012.01463.x.

    PubMed  Google Scholar 

  74. 74.

    Flaa A, Eide IK, Kjeldsen SE, Rostrup M: Sympathoadrenal stress reactivity is a predictor of future blood pressure. Hypertension. 2008, 52 (2): 336-341. 10.1161/HYPERTENSIONAHA.108.111625.

    CAS  PubMed  Google Scholar 

  75. 75.

    Heponiemi T, Elovainiro M, Pulkki L, Puttonen S, Raitakari O, Keltikangas-Järvinen L: Cardiac autonomic reactivity and recovery in predicting carotid atherosclerosis: The cardiovascular risk in young finns study. Health Psychol. 2007, 26 (1): 13-21.

    PubMed  Google Scholar 

  76. 76.

    Chida Y, Steptoe A: Greater cardiovascular responses to laboratory mental stress are associated with poor subsequent cardiovascular risk status: a meta-analysis of prospective evidence. Hypertension. 2010, 55 (4): 1026-1032. 10.1161/HYPERTENSIONAHA.109.146621.

    CAS  PubMed  Google Scholar 

  77. 77.

    Phillips AC: Blunted cardiovascular reactivity relates to depression, obesity, and self-reported health. Biol Psychol. 2011, 86 (2): 106-113. 10.1016/j.biopsycho.2010.03.016.

    PubMed  Google Scholar 

  78. 78.

    Brosschot JF, Thayer JF: Anger inhibition, cardiovascular recovery, and vagal function: a model of the link between hostility and cardiovascular disease. Ann Behav Med. 1998, 20 (4): 326-332. 10.1007/BF02886382.

    CAS  PubMed  Google Scholar 

  79. 79.

    Gerin W, Pickering TG, Glynn L, Christenfeld N, Schwartz A, Carroll D, Davidson K: An historical context for behavioral models of hypertension. J Psychosom Res. 2000, 48 (4–5): 369-377.

    CAS  PubMed  Google Scholar 

  80. 80.

    Linden W, Earle T, Gerin W, Christenfeld N: Physiological stress reactivity and recovery: conceptual siblings separated at birth?. J Psychosom Res. 1997, 42 (2): 117-135. 10.1016/S0022-3999(96)00240-1.

    CAS  PubMed  Google Scholar 

  81. 81.

    Schwartz A, Gerin W, Davidson K, Pickering T, Brosschot J, Thayer J, Christenfeld N, Linden W: Toward a causal model of cardiovascular responses to stress and the development of cardiovascular disease. Psychosom Med. 2003, 65 (1): 22-35. 10.1097/01.PSY.0000046075.79922.61.

    PubMed  Google Scholar 

  82. 82.

    McEwen BS: Protective and damaging effects of stress mediators. N Engl J Med. 1998, 338 (3): 171-179. 10.1056/NEJM199801153380307.

    CAS  PubMed  Google Scholar 

  83. 83.

    Epel ES, Lin J, Wilhelm FH, Wolkowitz OM, Cawthon R, Adler NE, Dolbier C, Mendes WB, Blackburn EH: Cell aging in relation to stress arousal and cardiovascular disease risk factors. Psychoneuroendocrinology. 2006, 31 (3): 277-287. 10.1016/j.psyneuen.2005.08.011.

    CAS  PubMed  Google Scholar 

  84. 84.

    Epel ES, Blackburn EH, Lin J, Dhabhar FS, Adler NE, Morrow JD, Cawthon RM: Accelerated telomere shortening in response to life stress. Proc Natl Acad Sci U S A. 2004, 101 (49): 17312-17315. 10.1073/pnas.0407162101.

    CAS  PubMed  PubMed Central  Google Scholar 

  85. 85.

    Epel ES, Puterman E, Lin J, Blackburn E, Lazaro A, Mendes WB: Wandering minds and aging cells. Clinical Psychological Science. 2012, 1 (1): 75-83.

    Google Scholar 

  86. 86.

    Bhasin MK, Dusek JA, Chang BH, Joseph MG, Denninger JW, Fricchione GL, Benson H, Libermann TA: Relaxation response induces temporal transcriptome changes in energy metabolism, insulin secretion and inflammatory pathways. PLoS One. 2013, 8 (5): e62817-10.1371/journal.pone.0062817.

    CAS  PubMed  PubMed Central  Google Scholar 

  87. 87.

    Arora S, Bhattacharjee J: Modulation of immune responses in stress by Yoga. Int J Yoga. 2008, 1 (2): 45-55. 10.4103/0973-6131.43541.

    PubMed  PubMed Central  Google Scholar 

  88. 88.

    Abel AN, Lloyd LK, Williams JS: The effects of regular yoga practice on pulmonary function in healthy individuals: a literature review. J Altern Complement Med. 2013, 19 (3): 185-190. 10.1089/acm.2011.0516.

    PubMed  Google Scholar 

  89. 89.

    Telles S, Nagarathna R, Nagendra HR: Breathing through a particular nostril can alter metabolism and autonomic activities. Indian J Physiol Pharmacol. 1994, 38 (2): 133-137.

    CAS  PubMed  Google Scholar 

  90. 90.

    Pal GK, Velkumary S, Madanmohan A: Effect of short-term practice of breathing exercises on autonomic functions in normal human volunteers. Indian J Med Res. 2004, 120 (2): 115-121.

    CAS  PubMed  Google Scholar 

  91. 91.

    Pramanik T, Pudasaini B, Prajapati R: Immediate effect of a slow pace breathing exercise Bhramari pranayama on blood pressure and heart rate. Nepal Med Coll J. 2010, 12 (3): 154-157.

    CAS  PubMed  Google Scholar 

  92. 92.

    Bhavanani AB, Sanjay ZZ, Madanmohan : Immediate effect of sukha pranayama on cardiovascular variables in patients of hypertension. Int J Yoga Therap. 2011, 21: 73-76.

    PubMed  Google Scholar 

  93. 93.

    Bhavanani AB, Madanmohan , Sanjay Z, Basavaraddi IV: Immediate cardiovascular effects of pranava pranayama in hypertensive patients. Indian J Physiol Pharmacol. 2012, 56 (3): 273-278.

    PubMed  Google Scholar 

  94. 94.

    Bhavanani AB, Madanmohan , Sanjay Z: Immediate effect of chandra nadi pranayama (left unilateral forced nostril breathing) on cardiovascular parameters in hypertensive patients. Int J Yoga. 2012, 5 (2): 108-111. 10.4103/0973-6131.98221.

    PubMed  PubMed Central  Google Scholar 

  95. 95.

    Bernardi L, Porta C, Spicuzza L, Bellwon J, Spadacini G, Frey AW, Yeung LYC, Sanderson JE, Pedretti R, Tramarin R: Slow breathing increases arterial baroreflex sensitivity in patients with chronic heart failure. Circulation. 2002, 105 (2): 143-145. 10.1161/hc0202.103311.

    PubMed  Google Scholar 

  96. 96.

    Hunter SD, Tarumi T, Dhindsa MS, Nualnim N, Tanaka H: Hatha yoga and vascular function: Results from cross-sectional and interventional studies. J Bodyw Mov Ther. 2013, 17 (3): 322-327. 10.1016/j.jbmt.2012.10.009.

    PubMed  Google Scholar 

  97. 97.

    Carlson LE, Speca M, Patel KD, Goodey E: Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. Psychoneuroendocrinology. 2004, 29 (4): 448-474. 10.1016/S0306-4530(03)00054-4.

    CAS  PubMed  Google Scholar 

  98. 98.

    Tooley GA, Armstrong SM, Norman TR, Sali A: Acute increases in night-time plasma melatonin levels following a period of meditation. Biol Psychol. 2000, 53 (1): 69-78. 10.1016/S0301-0511(00)00035-1.

    CAS  PubMed  Google Scholar 

  99. 99.

    Smith C, Hancock H, Blake-Mortimer J, Eckert K: A randomised comparative trial of yoga and relaxation to reduce stress and anxiety. Complement Thr Med. 2007, 15 (2): 77-83. 10.1016/j.ctim.2006.05.001.

    Google Scholar 

  100. 100.

    Yoshihara K, Hiramoto T, Sudo N, Kubo C: Profile of mood states and stress-related biochemical indices in long-term yoga practitioners. BioPsychoSocial Med. 2011, 5 (1): 6-10.1186/1751-0759-5-6.

    Google Scholar 

  101. 101.

    Khalsa SBS, Shorter SM, Cope S, Wyshak G, Sklar E: Yoga ameliorates performance anxiety and mood disturbance in young professional musicians. Appl Psychophysiol Biofeedback. 2009, 34 (4): 279-289. 10.1007/s10484-009-9103-4.

    PubMed  Google Scholar 

  102. 102.

    Kristal AR, Littman AJ, Benitez D, White E: Yoga practice is associated with attenuated weight gain in healthy, middle-aged men and women. Altern Ther Health Med. 2005, 11 (4): 28-33.

    PubMed  Google Scholar 

  103. 103.

    Telles S, Visweswaraiah NK, Balkrishna A: Serum leptin, cholesterol and blood glucose levels in diabetics following a yoga and diet change program. Med Sci Monit. 2010, 16 (3): LE4-LE5.

    PubMed  Google Scholar 

  104. 104.

    Pal A, Srivastava N, Tiwari S, Verma NS, Narain VS, Agarwal GG, Natu SM, Kumar K: Effect of yogic practices on lipid profile and body fat composition in patients of coronary artery disease. Complement Thr Med. 2011, 19 (3): 122-127. 10.1016/j.ctim.2011.05.001.

    Google Scholar 

  105. 105.

    Hagins M, States R, Selfe T, Innes K: Effectiveness of yoga for hypertension: Systematic review and meta-analysis. Evid Base Compl Alternative Med. 2013, 2013: 649836-

    Google Scholar 

  106. 106.

    Tyagi A, Cohen M: Yoga and hypertension: a systematic review. Altern Ther Health Med. 2014, 20 (2): 32-59.

    PubMed  Google Scholar 

  107. 107.

    Cohen BE, Chang AA, Grady D, Kanaya AM: Restorative yoga in adults with metabolic syndrome: a randomized, controlled pilot trial. Metab Syndr Relat Disord. 2008, 6 (3): 223-229. 10.1089/met.2008.0016.

    PubMed  Google Scholar 

  108. 108.

    Khatri D, Mathur KC, Gahlot S, Jain S, Agrawal RP: Effects of yoga and meditation on clinical and biochemical parameters of metabolic syndrome. Diabetes Res Clin Pract. 2007, 78 (3): e9-e10. 10.1016/j.diabres.2007.05.002.

    PubMed  Google Scholar 

  109. 109.

    Lee JA, Kim JW, Kim DY: Effects of yoga exercise on serum adiponectin and metabolic syndrome factors in obese postmenopausal women. Menopause. 2012, 19 (3): 296-301. 10.1097/gme.0b013e31822d59a2.

    PubMed  Google Scholar 

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The data was conducted at the research laboratory Patanjali Yogapeeth, India. The authors would like to thank the Head of Management of Patanjali Yogpeeth, ‘Achayra Balkrishna’ for granting access to the laboratory. We would thank senior research fellow, N. Singh and all the staff of research foundation of Patanjali Yogpeeth, India and all the participants who contributed their time to the study.

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Correspondence to Marc Cohen.

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The authors declare that they have no competing interests.

Authors’ contributions

AT and MC designed and conceived the study, AT performed the data collection under supervision and guidance of ST. AT and JR performed the statistical analysis and AT and MC wrote the manuscript and all authors reviewed the draft. All authors read and approved the final manuscript.

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Tyagi, A., Cohen, M., Reece, J. et al. An explorative study of metabolic responses to mental stress and yoga practices in yoga practitioners, non-yoga practitioners and individuals with metabolic syndrome. BMC Complement Altern Med 14, 445 (2014).

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  • Yoga
  • Meditation
  • Breathing
  • Metabolic syndrome
  • Oxygen consumption
  • Energy Expenditure
  • Metabolic rate
  • Stress reactivity
  • Stress recovery