Skip to main content

Capnometric feedback training decreases 24-h blood pressure in hypertensive postmenopausal women

Abstract

Background

High normal resting pCO2 is a risk factor for salt sensitivity of blood pressure (BP) in normotensive humans and has been associated with higher resting systolic BP in postmenopausal women. To date, however, no known studies have investigated the effects of regular practice of voluntary mild hypocapnic breathing on BP in hypertensive patients. The objective of the present research was to test the hypothesis that capnometric feedback training can decrease both resting pCO2 and 24-h BP in a series of mildly hypertensive postmenopausal women.

Methods

A small portable end tidal CO2 (etCO2) monitor was constructed and equipped with software that determined the difference between the momentary etCO2 and a pre-programmed criterion range. The monitor enabled auditory feedback for variations in CO2 outside the criterion range. 16 mildly hypertensive postmenopausal women were individually trained to sustain small decreases in etCO2 during six weekly sessions in the clinic and daily sessions at home. 24-h BP monitoring was conducted before and after the intervention, and in 16 prehypertensive postmenopausal women in a control group who did not engage in the capnometric training.

Results

Following the intervention, all 16 capnometric training participants showed decreases in resting etCO2 (− 4.3 ± 0.4 mmHg; p < .01) while 15 showed decreases in 24-h systolic BP (− 7.6 ± 2.0 mmHg; p < .01). No significant changes in either measure was observed in the control group. In addition, nighttime (− 9.5 ± 2.6; p < .01) and daytime (− 6.7 ± 0.2 mmHg) systolic BP were both decreased following capnometric training, while no significant changes in nighttime (− 2.8 ± 2.2 mmHg; p = .11) or daytime (− 0.7 ± 1.0 mmHg; p ≤ .247) systolic BP were observed in the control group.

Conclusions

These findings support the hypothesis that regular practice of mild hypocapnic breathing that decreases resting etCO2 reliably decreases 24-h blood pressure in hypertensive postmenopausal women. The extent to which these effects persist beyond the training period or can be observed in other hypertensive subgroups remains to be investigated.

Peer Review reports

Introduction

Primary hypertension is chronically elevated blood pressure (BP) of unknown origin. It is the most common cardiovascular disorder, and a major risk factor for stroke and coronary heart disease [1]. Epidemiological research has shown hypertension to be a “disease of civilization” [2], a conclusion supported by studies showing that the rate of rise in BP with age and the incidence of hypertension is higher in women living in urban settings than in cloistered environments, matched for demographic variables and diet [3]. The physiological mechanism by which chronic social stress can increase the set point for BP over time has long eluded clarification, however.

Ever since the discovery of the “fight or flight” response almost a century ago [4], investigators have been interested in the role of the sympathetic nervous system (SNS) in the pathogenesis of primary hypertension. That the maintenance of hypertension involves increased SNS activity in some patients [5, 6] is consistent with this view. Subsequently, clinically oriented studies addressed the blood pressure (BP) effects of a slowed breathing rate that decreases SNS activity. Preliminary successes were reported in several studies which showed that breathing interventions could decrease resting BP (reviewed by Shi et al. [7] and Park et al. [8]). However, none of these studies reported decreases in 24-h BP, leading some to conclude that the era of breathing interventions in hypertension was over [9].

Others had observed, however, that the decreases in rate during breathing interventions are typically offset by proportional increases in tidal volume (breathing depth) that maintain pCO2 at or near pre-intervention baselines [10]. Breathing exercises that maintain stable pCO2 are not the only possible means by which the set point for BP might be modified. It has been known for many years that voluntary hypocapnic breathing that decreases pCO2 also decreases BP acutely [11]. Conversely, it has also been reported that voluntary increases in pCO2 within the normal range sustained for 30 min by capnometric feedback increased BP acutely in normotensive men [12]. In neither study was heart rate changed. In addition, previous research has found that high resting pCO2 is a risk factor for BP sensitivity to high sodium intake in older [13] and younger [14] normotensive individuals.

To date, no studies have examined the effects of breathing exercises that reliably decrease pCO2 on 24-h BP. In the present study, the effects of regular practice of a mild hypocapnic breathing task on BP were investigated in a series of postmenopausal women with hypertensive BP levels. (In this report, the terms hypocapnic (decreased) and hypercapnic (increased) refer to the direction of change in pCO2, not levels beyond the normal range.) The selection of women as participants was based on the results of previous research that found a significant positive correlation between resting pCO2 and resting BP in postmenopausal women, but not age-matched men [15]. The correlation was found to be greater in women who tended to inhibit the expression of anger [16]. The present study tested the hypothesis that regular practice of a mild hypocapnic breathing exercise by hypertensive postmenopausal women would over time result in decreases in resting etCO2 together with decreases in 24-h systolic BP.

Methods

Recruitment, screening, and pre-intervention monitoring in the clinic and natural environment

Participants were recruited via the Kaiser Permanente, Northern California (KPNC) health system using a computer algorithm that identified potential candidates via inclusion and exclusion criteria. The inclusion criteria included (a) English speaking females 50–75 years at the time of entry, at least 1 year without menstrual cycle, body mass index (BMI): 19–31, and 24-h systolic BP 140 > 150 mmHg. Exclusion criteria included a history of respiratory, cardiovascular, liver or kidney disease, or diabetes; current medication that influences respiratory function, including benzodiazepines, narcotics or tranquilizers; steroid use within the past 6 months, including hormone replacement therapy; and recent tobacco use. The study was approved by the Institutional Review Boards of University of California, San Francisco (UCSF) and the Kaiser Foundation Research Institute (KFRI). Letters describing the study were mailed to potential candidates. Those who indicated interest were screened by telephone interview to confirm inclusion and exclusion criteria.

Twenty-six candidates were invited for in-person physiological screening. During a first pre-intervention screening session, study objectives and procedures were described, and informed consent was obtained. Monitoring of breath-to-breath respiratory variables occurred during 25 min of seated rest in a recliner chair in a quiet room. etCO2 and breathing rate were measured via a nasal cannula attached to a battery-powered respiratory gas monitor that had been customized for continuous recording. To avoid the influence of digestion on pCO2, candidates were asked to fast for 2 h before the session. The capnometer was calibrated before each clinic session using a known CO2 concentration. Measurements of systolic and diastolic BP and heart rate were recorded every 6 min, using an ambulatory monitor (Space Labs, Model 90207, Redmond, WA). The first BP measurement was discarded and means of the remaining measurements were averaged. After this 25 min session, the candidate wore the ambulatory BP monitor for the next 24 h in the natural environment, during which BP and heart rate were recorded once per hour.

Each candidate returned to the clinic setting within 72 h. If the 24-h SBP or DBP mean was outside the inclusion range, the candidate was excused and referred to her physician, as appropriate. For qualifying candidates, a second 25 min clinic baseline session was conducted, with means of each resting measure calculated as in the first session. Of the 26 participating women, the first 10 were studied with a contingency that involved auditory feedback only when etCO2 decreased below the lower limit of the criterion range (three to seven mmHg below the individual resting baseline level). When this contingency proved inadequate to generate consistently effective decreases in etCO2 within that range, a more complex contingency was instated whereby auditory feedback was presented whenever etCO2 drifted above or below the criterion range. The auditory stimulus was terminated as soon as etCO2 returned within the criterion range. The data analyzed in the present study were obtained from the 16 women who were trained under this latter contingency.

Prior to the onset of capnometric feedback training, each participant was advised to maintain their normal daily exercise regimens and diet throughout the study.

Control group

Data from 16 prehypertensive postmenopausal women with 24 h mean systolic BP between 130 and 140 mmHg were selected from a larger group of women who were serving as control subjects in a different ongoing study. These participants had also been recruited from KPNC and were screened to establish eligibility for participation via review of medical records and a personal interview, as had been conducted for individuals in the capnometric training group. The same inclusion and exclusion criteria were employed. Their baseline and follow-up respiratory and cardiovascular measures were determined by the same methods as for the capnometric feedback group. The interval between these measurements was equivalent to those employed for the capnometric group. These participants were also advised to maintain their normal physical exercise and dietary habits.

Capnometric feedback training

Participants who qualified for the study completed six weekly clinic training sessions during which they attempted to sustain etCO2 five mmHg below individual resting mean levels. Each training session was preceded by a 10 min rest interval, followed by a 25-min period during which the feedback contingency was in effect. At the detection of each new breath, the capnometer calculated mean etCO2 for all breaths during the preceding 15 s. Each recorded value was compared with the criterion range that was 3–7 mmHg below the individual baseline mean etCO2. When the observed 15 s mean etCO2 drifted above or below the criterion range, a non-aversive auditory stimulus was onset that remained in effect until etCO2 re-entered the criterion range.

During the first training session, an instructor remained in the room with the participant, encouraging her to adjust breathing depth as needed to stay within the criterion range of etCO2 while maintaining a normal breathing rate. During all subsequent training sessions, the participant engaged in the feedback training task while alone. During each session, etCO2 and breathing rate were determined from inter-breath intervals, while systolic and diastolic BP, and heart rate, were recorded every 6 min.

Following each clinic session, the participant took the portable etCO2 monitor home for regular practice sessions, 5 days per week. As during clinic sessions, the participant was instructed to rest for 10 min preceding the 25 min training sessions at home. During the home sessions, etCO2 and breathing rate were monitored continuously, but BP and heart rate were not recorded.

Post-intervention monitoring in the natural environment

After completion of the capnometric training sessions, a post-intervention 25 min rest session was completed in the clinic, during which etCO2 and breathing rate were recorded, while systolic and diastolic BP and heart rate were monitored every 6 min. Following this session, ambulatory BP and heart rate were monitored once per hour for the next 24 h in the natural environment. During this 24-h post-intervention period, etCO2 and breathing rate were recorded during a 25 min rest session at home. The means of the clinic and home rest sessions were averaged, providing post-intervention outcome data.

Data analysis

The analysis of the data included calculation of the significance of the correlation coefficients for successive means for each measure across sessions for the capnometric group with training session number. The significance of the differences between baseline and post-intervention means for each measure was determined via two-tailed t-tests for independent samples for both the capnometric training and control group. The significance of the differences between groups in each measure was determined via two tailed t-tests (Tables 2 and 3) and chi square for consistency of direction of change (Table 2). STATA Version 12 was used to perform the statistical tests.

Results

Baseline demographics and physiological measures for the intervention and control groups

Table 1 shows that baseline means of age, body mass index, body surface area, resting etCO2, resting breathing rate, 24-h diastolic pressure and 24-h heart rate for the capnometric training group and the control group were not significantly different. Baseline mean 24-mmHg systolic pressure was higher in the capnometric feedback group than in the control group. However, baseline daytime mean systolic BP in the capnometric feedback group was not significantly different from that in the control group (see Table 3).

Table 1 Means and standard errors of demographic and physiological measures at baseline for the capnometric training intervention (n = 16) and the control group (n = 16)

Performance

Figure 1 shows that percent time breathing within the criterion range for the feedback group increased progressively from the first to the sixth clinic training session (r = 0.92; p < 0.01).

Fig. 1
figure 1

Means and standard errors of the percentage time within the end tidal CO2 criterion range across six weekly capnometric feedback training sessions for 16 participants in the capnometric training group. **p < .01

EtCO2 and breathing rate in the capnometric training group

The upper panel of Fig. 2 shows a significant downward trend in mean etCO2 over the course of the six clinic feedback sessions (r =  − 0.90; p .01). It also shows significant differences in resting etCO2 between baseline and post-intervention monitoring in the feedback group, but not in the control group (Fig. 2 and Table 2). The decrease in etCO2 in the feedback group was significantly greater than in the control group (Table 2).

Fig. 2
figure 2

Means and standard errors of end tidal CO2 (upper panel) and breathing rate (lower panel) during baseline and post-intervention rest (white bars), six weekly clinic sessions of capnometric training (black bars), and preceding and following the control period (hatched bars). **p < .01

Table 2 Means and standard errors (S.E.) of each physiological measure before and after the capnometric training intervention (n = 16) and in the control group (n = 16), the significance of the differences in the post-intervention changes in each measure, and the significance of the differences between capnometric training and control groups

The lower panel of Fig. 2 shows no significant trend in mean breathing rate over the course of the six clinic feedback sessions (r = 0.53; p = 0.36). However, breathing rate following the intervention was decreased from baseline values (Table 2). Figure 2 and Table 2 show no significant differences between groups in breathing rate between baseline and follow-up monitoring (Table 2).

Systolic and diastolic blood pressure and heart rate in the capnometric training group

The upper panel of Fig. 3 shows that group mean systolic BP decreased progressively across the six clinic training sessions (r = 0.91; p < .01). Table 2 also shows that 24-h mean systolic BP was lower during post-intervention monitoring than during baseline monitoring (Table 2). It also shows that the probability of a decrease in systolic BP in the intervention group was significantly greater than in the control group (X2 = 5.7; p < .009).

Fig. 3
figure 3

Means and standard errors of 24 h systolic blood pressure (upper panel), diastolic blood pressure (middle panel), and heart rate (lower panel) preceding and following the capnometric training intervention (white bars), during the six training sessions (black bars) and preceding and following the control period (hatched bars). **p < .01, *p < .05

The middle panel of Fig. 3 shows no significant trend in diastolic BP change across the six clinic training sessions (r =  − 0.73; p > 0.145), and that group 24-h diastolic mean BP was not significantly different during post-intervention monitoring than at baseline (Table 2).

The lower panel of Fig. 3 shows no significant trend in mean heart rate change across the six clinic training sessions (r =  − 0.53; p > 0.229), no significant change in breathing rate following the intervention, and no significant difference between groups (Table 2).

Respiratory and cardiovascular changes in the control group and between groups

Figure 2 and Table 2 show no significant mean changes in the control group in resting etCO2 or breathing rate during follow-up clinic monitoring. They also show no significant changes in 24-h systolic or diastolic pressure, or 24-h heart rate in the control group. The differences between capnometric training and control groups in mean changes in etCO2 and 24-h systolic BP were both significant (Table 2). The differences between groups in the changes in clinic breathing rate, 24-h diastolic BP, and heart rate were not significant.

Blood pressure and heart rate changes during the nighttime and daytime

The upper section of Table 3 shows means and standard errors of systolic and diastolic pressure, and heart rate, for the 8-h night and 16 h day in the capnometric feedback group following the intervention. Significant pre-post changes in systolic pressure were observed during the nighttime and daytime, and in diastolic pressure during the nighttime. Group differences in change in nighttime and daytime systolic pressure were significant, as were the changes for nighttime diastolic pressure. No significant nighttime or daytime changes in heart rate were observed.

Table 3 Means and standard errors for systolic and diastolic blood pressure, and heart rate during nighttime and daytime ambulatory monitoring of 16 hypertensive and 16 control post-menopausal women

The lower section of Table 3 shows means and standard errors of nighttime and daytime systolic and diastolic pressure and heart rate in the control group. No significant pre-post changes in 24-h systolic, diastolic pressure or heart rate were observed during the day or at night for either group.

Discussion

This study found that 6 weeks of regular practice of hypocapnic breathing reliably decreased 24-h systolic BP in postmenopausal hypertensive women. This is the first application of capnometric feedback applied to hypertensive patients, but far from the first to investigate the effects of instructed deep breathing on BP. Thirteen studies of regular deep breathing effects on resting BP have been reviewed recently [17]. In general, the procedures in those studies involved instructions to breathe deeply at a normal rate. Most reported decreases in resting BP and heart rate and concluded that the effects must have been mediated by decreases in sympathetic nervous system (SNS) activity. Three measured 24-h BP but found no significant BP changes following the intervention. None measured pCO2. The present study differs from previous studies in that the sessions were longer in duration (25 min rather than 10 min), recorded etCO2 continuously, and employed contingencies for the maintenance of breathing depths within or near the normal range of etCO2. Since 24-h ambulatory heart rate was increased following this intervention, the findings are consistent with the conclusion that the changes in 24-h BP were mediated via decreases in peripheral vascular resistance.

24-h blood pressure monitoring is considered a better index of the set point than resting BP, because it is less susceptible to the confounding effects of “white coat hypertension” and “masked hypertension” and is more prognostic of heart and vascular disease [18]. A sub-normal magnitude of nocturnal “dipping” in BP from daytime levels has been shown to be a risk factor for cardiovascular morbidity and mortality, independently of BP level [19, 20]. In the present study, nocturnal “dipping” of BP before and after the capnometric feedback training was compared with that in the control group. Capnometric feedback training decreased the systolic BP during the day and at night in the feedback group, but no significant day or night changes were observed in the control group. No significant changes in “dipping” of nighttime blood pressure were observed.

The association between the changes in pCO2 and BP found in this study can also be seen in other disorders. For example, obstructive sleep apnea is associated with recurrent episodes of both hypoxia and hypercapnia [21]. Hypoxia increases SNS activity acutely [22], but repeated hypercapnic episodes can also over time increase daytime resting pCO2 [23]. In addition, respiratory failure in patients with chronic obstructive pulmonary disease has been associated with increases in both pCO2 and BP, and successful treatment is accompanied by a return of both pCO2 and BP to pre-failure levels [24].

Individual differences in resting pCO2 are a function of several psychological factors. Lower levels have been associated with anxiety [25, 26], while higher levels have been associated with a tendency to worry [16]. Resting pCO2 is known to decrease with age, perhaps in response to age-associated decreases in plasma pH [27]. In addition, it tends to be higher in African Americans than Caucasian Americans [28]. The set point for pCO2 can change over time in a process known as allostasis, which can override the corrective action of homeostasis [29, 30]. For example, when resting etCO2 was measured 7 days and 6 months after an initial baseline session, no significant group mean changes were observed, but test–retest correlations were lower after 6 months than after 1 week [31]. Previous studies of capnometric feedback training to increase low normal resting etCO2 have shown it to be effective in ameliorating panic disorder [32, 33] and asthma [34].

In the natural environment, acute changes in pCO2 can occur under two behavioral conditions that might over time contribute to disease pathogenesis (reviewed by Sikter et al. [35, 36]). First, acute increases in pCO2 occur when increases in parasympathetic activity decrease heart rate and ventilation during sustained attention to the external environment. Sustained vigilance serves as a brake on the motor system and prepares the individual for fight or flight [37]. It can be of brief duration or extended over time by experience and conditioning. Second, acute decreases in pCO2 occur in a context of SNS arousal which redistributes blood flow to the heart, lungs, and skeletal muscle to support fight or flight. For many years, fight or flight was believed by some to participate in the pathogenesis of hypertension [38], but less attention was paid to the role of the increased pCO2 during sustained vigilance as a possible mediating mechanism.

Regarding design, this study sought to determine the consistency with which behaviorally engineered changes in one physiological variable reliably resulted in changes in another physiological variable in individual patients. That all 16 participants showed decreases in resting etCO2 while 15 showed post-intervention decreases in 24-h systolic BP indicates a strong association between the two. The untreated control group of postmenopausal women was added to document that repeated measurements of 24-h BP separated in time by at least 4 weeks do not result in significant changes in 24-h BP in the absence of an intervention [39].

A limitation of the study is that the findings apply only to one subgroup of patients, namely, hypertensive postmenopausal women. They cannot necessarily be extended to men. When estrogen is diminished during menopause, the incidence of hypertension in women rises to become comparable to that of men [40]. In older persons, the association between resting pCO2 and resting BP is significant in women, but not in men [15]. Whether capnometric feedback of etCO2 might decrease 24-h BP in older hypertensive men needs to be investigated.

Another limitation of the study is that the intervention and control groups had different baseline systolic BP levels, but comparable (i.e., prehypertensive) levels following the intervention or control wait-list period. The development of the portable etCO2 monitor and associated methodology required to document the effects of capnometric feedback training did not leave adequate time for recruitment of another group of unmedicated hypertensives fitting the inclusion and exclusion criteria within the grant funded study period. However, a group of unmedicated prehypertensive postmenopausal women with identical inclusion and exclusion criteria was available who had previously participated as controls in a different study. It should be noted that the daytime BP at baseline in the control group in the present study was not significantly different from that in the intervention group (Table 3). Other research on breathing interventions in hypertension have provided comparable findings involving hypertensive control groups that had shown no significant changes in 24-h mean BP following the wait list period [41, 42].

A third limitation of the study is that the findings apply only to the time period during which the scheduled practice of hypocapnic breathing was in effect. Follow up data will be needed to determine whether the decreases in 24-h BP persist beyond the termination of the intervention.

More generally, hypertension is thought to be a disorder of long-term sodium regulation involving an interaction between dietary sodium intake and factors that impair the ability of the kidneys to restore and maintain normal plasma volume and/or vascular tone [43,44,45]. The salt sensitive form of hypertension has been reported to occur more frequently in women than in men [46]. Previous studies have not examined the role of resting pCO2 in the maintenance of BP in hypertensive patients, but a role for pCO2 in the pathogenesis of a salt sensitive form of experimental hypertension has been documented in studies with large laboratory animals [47]. Together, these findings suggest that capnometric feedback training that decreases resting pCO2 might be effective in the management of salt-sensitive forms of primary hypertension.

Conclusions

This study found that 6 weeks of daily sessions of capnometric feedback training that decreased resting etCO2 in hypertensive postmenopausal women was accompanied by significant decreases in systolic 24-h blood pressure, a marker for long-term BP. The study was made possible by the development of a portable etCO2 monitor equipped with software that determined whether current etCO2 was within a pre-programed criterion range and provided contingent auditory feedback. This new technology has the potential to provide a non-pharmacological intervention for some groups of hypertensive patients that might be useful in the management of this most common cardiovascular disorder.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Kearney PM, Whelton M, Reynolds K, Whelton PK, He J. Worldwide prevalence of hypertension: a systematic review. J Hypertens. 2004;22:11–9.

    Article  CAS  PubMed  Google Scholar 

  2. Korner P. Essential hypertension and its causes: neural and non-neural mechanisms. Oxford: Oxford University Press; 2007.

    Google Scholar 

  3. Timio M, Verdecchia P, Venanzi S, Gentili S, Ronconi M, Francucci B, et al. Age and blood pressure changes: a 20-year follow-up study in nuns in a secluded order. Hypertension. 1998;12:457–61.

    Article  Google Scholar 

  4. Cannon WB. The wisdom of the body. New York: W.W. Norton; 1932.

    Book  Google Scholar 

  5. Fisher JP, Paton JFR. The sympathetic nervous system and blood pressure in humans: implications for hypertension. J Hum Hypertens. 2012;26:463–75.

    Article  CAS  PubMed  Google Scholar 

  6. Grassi G, Ram VS. Evidence for a critical role of the sympathetic nervous system in hypertension. J Am Soc Hypertens. 2016;10:457–66.

    Article  CAS  PubMed  Google Scholar 

  7. Shi L, Zhang D, Wang L, Zhuang J, Cook R, Chen L. Meditation and blood pressure: a meta-analysis of randomized clinical trials. J Hypertens. 2017;35:696–706.

    Article  CAS  PubMed  Google Scholar 

  8. Park S, Han KS. Blood pressure response to meditation and yoga: a systematic review and meta-analysis. J Altern Complement Med. 2017;23:685–95.

    Article  PubMed  Google Scholar 

  9. van Djik PR, van Hateren KJJ, Kleefstra N, Landman GWD. It is time to close the book on device-guided slow breathing. Blood Press. 2018;27:181–2.

    Article  Google Scholar 

  10. Conrad A, Müller S, Doberenz S, Kim S, Meuret AE, Wollburg E, et al. Psychophysiological effects of breathing instructions for stress management. Appl Psychophysiol Biofeedback. 2007;32:89–98.

    Article  PubMed  Google Scholar 

  11. Burnum JF, Hickam JB, McIntosh HD. The effect of hypocapnia on arterial blood pressure. Circulation. 1954;9:89–95.

    Article  CAS  PubMed  Google Scholar 

  12. Bagrov AY, Federova OV, Austin-Lane JL, Dmitrieva RI, Anderson DE. Endogenous marinobufagenin-like immunoreactive factor and Na+K+ATPase inhibition during voluntary hypoventilation. Hypertension. 1995;26:781–8.

    Article  CAS  PubMed  Google Scholar 

  13. Anderson DE, Dhokalia A, Parsons DJ, Bagrov AY. High end tidal CO2 association with blood pressure response to sodium loading in older adults. J Hypertens. 1996;14:1073–9.

    Article  CAS  PubMed  Google Scholar 

  14. Anderson DE, Dhokalia A, Parsons DJ, Bagrov AY. Sodium sensitivity in young adults with high resting end tidal CO2. J Hypertens. 1998;16:1015–22.

    Article  CAS  PubMed  Google Scholar 

  15. Anderson DE, Parsons DJ, Scuteri A. End tidal CO2 is an independent determinant of systolic blood pressure in women. J Hypertens. 1999;17:1073–80.

    Article  CAS  PubMed  Google Scholar 

  16. Scuteri A, Parsons DJ, Chesney MA, Anderson DE. Anger inhibition potentiates the association of high end-tidal CO2 with blood pressure in women. Psychosom Med. 2001;63:470–5.

    Article  CAS  PubMed  Google Scholar 

  17. Yau KK, Loke AY. Effects of diaphragmatic deep breathing exercises on prehypertensive or hypertensive adults: a literature review. Complement Ther Clin Pract. 2021. https://doi.org/10.1016/j.ctcp.2021.101315.

    Article  PubMed  Google Scholar 

  18. Schwartz JE, Burg MM, Shimbo D, Broderick JE, Stone AA, Ishikawa J, et al. Clinic blood pressure underestimates ambulatory blood pressure an untreated employer-based US population: results from the masked hypertension study. Circulation. 2016;134:1794–807.

    Article  PubMed  PubMed Central  Google Scholar 

  19. di Raimondo D, Miceli G, Casuccio A, Tuttolomondo A, Butta C, Zappulla V, et al. Does sympathetic overactivation feature all hypertensives? Differences of sympathovagal balance according to night/day blood pressure ratio in patients with essential hypertension. Hypertens Res. 2016;39:440–48.

    Article  PubMed  CAS  Google Scholar 

  20. Yano Y, Kario K. Nocturnal blood pressure and cardiovascular disease: a review of recent advances. Hypertens Res. 2012;35:695–701.

    Article  Google Scholar 

  21. Peppard PE, Young E, Palta M, Skatrud J. Prospective study of the association between sleep-disordered breathing and hypertension. New Engl J Med. 2000;342:1378–2138.

    Article  CAS  PubMed  Google Scholar 

  22. Parati G, Lombardi C, Narkiewicz K. Sleep apnea: epidemiology, pathophysiology, and relation to cardiovascular risk. Am J Physiol Regul Integr Comp Physiol. 2007;293:R1671–83.

    Article  CAS  PubMed  Google Scholar 

  23. Norman RG, Goldring M, Clain JM, Oppenheimer BW, Charney AN, Rapoport DM, et al. Transition from acute to chronic hypercapnia in patients with periodic breathing: predictions from a computer model. J Appl Physiol. 2006;100:1733–41.

    Article  CAS  PubMed  Google Scholar 

  24. Fontana F, Bernardi P, Tartuferi L. Mechanisms of hypertension in patients with chronic obstructive pulmonary disease and acute respiratory failure. Am J Med. 2000;109:621–7.

    Article  CAS  PubMed  Google Scholar 

  25. Van den Bergh O, Zaman J, Bresseleers J, Verhamme P, Van Diest I. Anxiety, pCO2 and cerebral blood flow. Int J Psychophysiol. 2013;89:72–7.

    Article  PubMed  Google Scholar 

  26. Davies CD, Craske MG. Low baseline pCO2 predicts poorer outcome from behavioral treatments: evidence from a mixed anxiety disorders sample. Psychiatry Res. 2014;219:311–5.

    Article  PubMed  Google Scholar 

  27. Frassetto L, Sebastian A. Age and systemic acid-base equilibrium: analysis of published data. J Gerontol A Biol Sci Med Sci. 1996;51:B91–9.

    Article  CAS  PubMed  Google Scholar 

  28. Anderson DE, Scuteri A, Agalakova N, Parsons DJ, Bagrov AY. Racial differences in resting end-tidal CO2 and circulating sodium pump inhibitor. Am J Hypertens. 2001;14:761–7.

    Article  CAS  PubMed  Google Scholar 

  29. Ramsay DS, Woods SC. Clarifying the roles of homeostasis and allostasis in physiological regulation. Psychol Rev. 2014;121:225–47.

    Article  PubMed  PubMed Central  Google Scholar 

  30. James G. The adaptive value and clinical significance of allostatic blood pressure variations. Curr Hypertens Rev. 2019;15:93–104.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Dhokalia A, Parsons DJ, Anderson DE. Resting end tidal CO2 association with age, gender, personality. Psychosom Med. 1998;60:33–7.

    Article  CAS  PubMed  Google Scholar 

  32. Tolin DF, McGrath PB, Hale LR, Weiner DN, Gueorgieva R. A multisite benchmarking trial of capnometry guided respiratory intervention for panic disorder in naturalistic treatment settings. Appl Psychophysiol Biofeedback. 2017;42:51–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Davies CD, McGrath PB, Hale LR, Weiner DN, Tolin DF. Mediators of change in capnometry guided respiratory intervention for panic disorder. Appl Psychophysiol Biofeedback. 2019;44:97–102.

    Article  PubMed  Google Scholar 

  34. Ritz T, Rosenfield D, Steele AM, Millard MW, Meuret A. Controlling asthma by training of capnometry-assisted hypoventilation (CATCH) vs slow breathing, a randomized controlled trial. Chest. 2014;146:1237–47.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Sikter A, Rihmer Z, Guevara R. New aspects in the pathomechanism of diseases of civilization. Part 1. Theoretical background of a hypothesis. Neuropsychopharmacol Hung. 2017;19:95–105.

    Google Scholar 

  36. Sikter A, Rihmer Z, Guevara R. New aspects in the pathomechanism of diseases of civilization. Part 2. Chronic hypocapnia and hypercapnia in medical practice. Neuropsychopharmacol Hung. 2017;19:159–69.

    Google Scholar 

  37. Roelofs K. Freeze for action: neurobiological mechanisms in animal and human freezing. Philos Trans R Soc Lond B Biol Sci. 2017. https://doi.org/10.1098/rstb.2016.0206.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Alexander F. Emotional factors in essential hypertension. Psychosom Med. 1939;1:173–9.

    Article  Google Scholar 

  39. Bo Y, Kwok K, Chung V, Yu C-P, Tsoi KK, Wong SY, Lee EK. Short-term reproducibility of ambulatory blood pressure measurements: a systematic review and meta-analysis of 35 observational studies. J Hypertens. 2020;38:2095–105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Reckelhoff JF. Gender differences in blood pressure regulation. Hypertension. 2001;37:1199–208.

    Article  CAS  PubMed  Google Scholar 

  41. de Barros S, da Silva GV, de Gusmao JL, de Araujo  TG, de Souza DR, Cardoso CV,  Effects of long term device-guided slow breathing on sympathetic nervous system activity. Blood Press. 2017;26:359–65.

    Article  PubMed  CAS  Google Scholar 

  42. Blom K, Baker B, How M, Dai M, Irvine J, Abbey S, et al. Hypertension analysis of stress reduction using mindfulness meditation and yoga: results from the HARMONY randomized clinical trial. Am J Hypertens. 2014;27:122–9.

    Article  PubMed  Google Scholar 

  43. Weinberger MH. Salt sensitivity of blood pressure in humans. Hypertension. 1996;27:481–90.

    Article  CAS  PubMed  Google Scholar 

  44. Cowley AW Jr. Long-term control of arterial blood pressure. Physiol Rev. 1992;72:231–300.

    Article  PubMed  Google Scholar 

  45. Feng W, Dell’Italia LJ, Sanders PW. Novel paradigms of salt and hypertension. J Am Soc Nephrol. 2017;28:1362–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Nestel PJ, Clifton PM, Noakes M, McArthur R, Howe PR. Enhanced blood pressure response to dietary salt in elderly women, especially those with small waist: hip ratio. J Hypertens. 1993;11:1387–94.

    Article  CAS  PubMed  Google Scholar 

  47. Anderson DE, Chesney MA. Inhibited breathing and salt sensitive hypertension in women. In: Orth-Gomer K, Schneiderman N, Vaccarino V, Deter HC, editors. Psychosocial stress and cardiovascular disease in women. New York: Springer; 2015. p. 181–96.

Download references

Acknowledgements

The authors wish to thank Scott Harris, Ph.D. and Robert W. Anderson, Ph.D. for construction of the portable end tidal CO2 monitor and associated software, and Andrew L. Avins, M.D. and Alice R. Pressman, Ph.D. for assistance with subject recruitment.

Funding

This study was funded by a grant from the National Institutes of Health (R01AT005820) and a grant from the William K. Bowes Foundation. These granting agencies had no role in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

DEA was responsible for the design of the study, supervision of its conduct, and drafting of the manuscript. AR was responsible for collection and analysis of data. WM was responsible for all medical aspects of the study and participated in manuscript preparation. MAC was responsible for development of the study protocol, and completion of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Margaret A. Chesney.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Institutional Review Boards of the University of California San Francisco and the Kaiser Permanente Research Institute. All study participants provided written informed consent before participation. All methods were performed in accordance with the declaration of Helsinki.

Consent for publication

The manuscript does not contain any data requiring consent for publication.

Competing interests

The authors declare that they have no conflicting interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anderson, D.E., Reeves, A.N., Mehling, W.E. et al. Capnometric feedback training decreases 24-h blood pressure in hypertensive postmenopausal women. BMC Cardiovasc Disord 21, 447 (2021). https://doi.org/10.1186/s12872-021-02240-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12872-021-02240-x

Keywords