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Acute effect of Finnish sauna bathing on brachial artery flow‐mediated dilation and reactive hyperemia in healthy middle‐aged and older adults

2019; Wiley; Volume: 7; Issue: 13 Linguagem: Inglês

10.14814/phy2.14166

ISSN

2051-817X

Autores

Hugo Gravel, Geoff B. Coombs, Parya Behzadi, Virginie Marcoux‐Clément, Hadiatou Barry, Martin Juneau, Anil Nigam, Daniel Gagnon,

Tópico(s)

Climate Change and Health Impacts

Resumo

Physiological ReportsVolume 7, Issue 13 e14166 Original ResearchOpen Access Acute effect of Finnish sauna bathing on brachial artery flow-mediated dilation and reactive hyperemia in healthy middle-aged and older adults Hugo Gravel, Hugo Gravel Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorGeoff B. Coombs, Geoff B. Coombs School of Health and Exercise Sciences, University of British Columbia – Okanagan, Kelowna, CanadaSearch for more papers by this authorParya Behzadi, Parya Behzadi Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorVirginie Marcoux-Clément, Virginie Marcoux-Clément Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorHadiatou Barry, Hadiatou Barry Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorMartin Juneau, Martin Juneau Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, CanadaSearch for more papers by this authorAnil Nigam, Anil Nigam Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, CanadaSearch for more papers by this authorDaniel Gagnon, Corresponding Author Daniel Gagnon daniel.gagnon.3@umontreal.ca orcid.org/0000-0001-5396-9489 Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, Canada Correspondence Daniel Gagnon, Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, 5055 Saint-Zotique Est, Montréal, QC, Canada H1T 1N6. Tel: +1 514-374-1480 x4205 Fax: +1 514 374-2445 E-mail: daniel.gagnon.3@umontreal.caSearch for more papers by this author Hugo Gravel, Hugo Gravel Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorGeoff B. Coombs, Geoff B. Coombs School of Health and Exercise Sciences, University of British Columbia – Okanagan, Kelowna, CanadaSearch for more papers by this authorParya Behzadi, Parya Behzadi Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorVirginie Marcoux-Clément, Virginie Marcoux-Clément Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorHadiatou Barry, Hadiatou Barry Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, CanadaSearch for more papers by this authorMartin Juneau, Martin Juneau Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, CanadaSearch for more papers by this authorAnil Nigam, Anil Nigam Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, CanadaSearch for more papers by this authorDaniel Gagnon, Corresponding Author Daniel Gagnon daniel.gagnon.3@umontreal.ca orcid.org/0000-0001-5396-9489 Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, Montréal, Canada Département de Pharmacologie et Physiologie, Université de Montréal, Montréal, Canada Correspondence Daniel Gagnon, Cardiovascular Prevention and Rehabilitation Centre, Montreal Heart Institute, 5055 Saint-Zotique Est, Montréal, QC, Canada H1T 1N6. Tel: +1 514-374-1480 x4205 Fax: +1 514 374-2445 E-mail: daniel.gagnon.3@umontreal.caSearch for more papers by this author First published: 10 July 2019 https://doi.org/10.14814/phy2.14166Citations: 7 Funding Information This study was supported by the Fonds de Recherche du Québec – Santé, the Canada Foundation for Innovation, and the Montreal Heart Institute Foundation. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Regular Finnish sauna bathing is associated with a reduced risk of all-cause and cardiovascular mortality in middle-aged and older adults. Potential acute physiological adaptations induced by sauna bathing that underlie this relationship remain to be fully elucidated. The purpose of this study was to determine if typical Finnish sauna sessions acutely improve brachial artery flow-mediated dilation (FMD) and reactive hyperemia (RH) in healthy middle-aged and older adults. Using a randomized crossover design, FMD and RH were evaluated in 21 healthy adults (66 ± 6 years, 10 men/11 women) before and after each of the following conditions: (1) 1 × 10 min of Finnish sauna bathing (80.2 ± 3.2°C, 23 ± 2% humidity); (2) 2 × 10 min of sauna bathing separated by 10 min of rest outside the sauna; (3) a time control period (10 min of seated rest outside the sauna). FMD was taken as the peak change from baseline in brachial artery diameter following 5 min of forearm ischemia, whereas RH was quantified as both peak and area-under-the-curve forearm vascular conductance postischemia. FMD was statistically similar pre to post 1 × 10 min (4.69 ± 2.46 to 5.41 ± 2.64%, P = 0.20) and 2 × 10 min of sauna bathing (4.16 ± 1.79 to 4.55 ± 2.14%, P = 0.58). Peak and area-under-the-curve forearm vascular conductance were also similar following both sauna interventions. These results suggest that typical Finnish sauna bathing sessions do not acutely improve brachial artery FMD and RH in healthy middle-aged and older adults. Introduction Recent analyses of the Kuopio Ischemic Heart Disease risk factor study provide compelling evidence for the long-term health benefits of Finnish sauna bathing (Laukkanen et al. 2018). In a large cohort of middle-aged Finnish males, greater frequency (≥2–3 times per week) and greater duration (>19 min per session) of sauna use were associated with a decreased risk of sudden cardiac death, cardiovascular and all-cause mortality (Laukkanen et al. 2015), hypertension (Zaccardi et al. 2017), stroke (Kunutsor et al. 2018), as well as dementia and Alzheimer's disease (Laukkanen et al. 2017). Given the study cohort spanned the health continuum (healthy, at-risk, overt disease), the results suggest that Finnish sauna bathing may represent a recommendable lifestyle habit for primary and/or secondary prevention of cardiovascular diseases. However, potential physiological adaptations linking Finnish sauna use with these long-term health benefits remain to be elucidated. Acute physiological responses elicited by Finnish sauna bathing may lead to chronic adaptations that reduce the risk of adverse cardiovascular events in long-term sauna users. Studies have demonstrated that Finnish sauna bathing acutely decreases arterial blood pressure and arterial stiffness (Gayda et al. 2012; Radtke et al. 2016; Lee et al. 2018). In addition to such responses, improved vascular health may contribute to the long-term cardiovascular benefits of Finnish sauna bathing. It is becoming increasingly recognized that the cardiovascular responses associated with heat exposure exert positive effects upon markers of vascular health (Cheng and MacDonald 2019). Notably, studies have demonstrated that acute (Tinken et al. 2009; Romero et al. 2017) and repeated (Imamura et al. 2001; Kihara et al. 2002; Carter et al. 2014; Brunt et al. 2016b) heat exposure improves flow-mediated dilation and/or reactive hyperemia, two independent markers of future cardiovascular events (Yeboah et al. 2009; Anderson et al. 2011; Matsuzawa et al. 2015; Cooper et al. 2016). However, studies performed thus far have employed varying passive heating modalities other than Finnish sauna bathing (infrared sauna, hot water immersion, etc.) and most have employed relatively large "doses" of heat exposure (e.g. water immersion at 40–41°C for 30–90 min). In contrast, typical Finnish sauna bathing consists of brief (5–20 min) exposures in dry heat (70–100°C, 10–20% relative humidity) separated by rest or cooling periods outside of the sauna (Heinonen and Laukkanen 2018; Laukkanen et al. 2018). Although Finnish sauna bathing increases skin perfusion, heart rate, cardiac output, and internal body temperature (Smolander and Kolari 1985; Kauppinen 1989a,1989b), it remains unknown if it provides enough of a stimulus to acutely improve flow-mediated dilation and/or reactive hyperemia. The aim of the current study was to test the hypothesis that brachial artery flow-mediated dilation and reactive hyperemia are acutely augmented by typical Finnish sauna bathing sessions in healthy middle-aged and older adults. Methods Ethical approval This study was approved by the Montreal Heart Institute Research Ethics and New Technology Development Committee (#2017–2179). All participants provided written informed consent prior to their participation in the study. Participants Twenty-one participants, 50–80 years of age, were recruited for the study. All participants were healthy, free of overt cardiovascular diseases and not taking medication for the primary or secondary prevention of cardiovascular diseases. Women participants were postmenopausal and not on hormonal replacement therapy. Exclusion criteria were: a diagnosis of or pharmacological treatment for hypertension, diabetes, dyslipidemia; resting systolic blood pressure >140 mmHg and/or diastolic blood pressure >90 mmHg; history of smoking in the preceding 5 years. Eligibility was determined during preliminary visits with detailed medical history and lifestyle questionnaires, a resting (≥10 min in supine position) 12-lead ECG and blood pressure measurement and a fasting (≥12 h) blood sample. Physical activity level and sedentary time were assessed using the Global Physical Activity Questionnaire (Cleland et al. 2014). Eight of the 21 participants reported that they used saunas at least once per week. For these participants, mean frequency of sauna use was 2.5 days/week (range: 1–3 days/week), and the mean weekly sauna duration was 34 min/week (range: 5–66 min/week). Experimental protocol The study design was a crossover trial involving 3 experimental visits performed in random sequence. All visits took place between October and July and started between 7:30 and 9:30 am. During each visit, flow-mediated dilation and reactive hyperemia were evaluated before and after one of the following conditions: (1) 1 × 10 min of sauna bathing (1 × 10); (2) 2 × 10 min of sauna bathing separated by 10 min of rest outside the sauna (2 × 10), or; (3) a time control period consisting of 10 min of seated rest outside the sauna. The sauna interventions were chosen to reflect typical Finnish sauna bathing practice (Heinonen and Laukkanen 2018; Laukkanen et al. 2018). In addition, the durations chosen were consistent with the mean session duration (~14 min) reported for groups of regular Finnish sauna users (2–3 and 4–7 times per week) who demonstrated a reduced risk of all-cause and cardiovascular mortality (Laukkanen et al. 2015). The experimental visits were scheduled ≥48 h apart. Before each visit, participants were asked to fast for 12 h and consume a standardized snack (47 g carbohydrate, 3.5 g fat, 2 g protein) 1 h prior to their arrival to the laboratory. Participants were also asked to refrain from alcohol and caffeine or other stimulants, and to avoid intense physical activity and heat exposure for 12 h prior to each visit. Upon arrival to the laboratory, participants provided a urine sample to quantify hydration status before weighing themselves nude. They then dressed into shorts (for men) or shorts and a sports bra or loose t-shirt (for women) and were instrumented before lying down supine within a quiet and thermoneutral environment (24°C). After 30 min of supine rest, flow-mediated dilation and reactive hyperemia were evaluated. Participants then walked to the sauna and sat upright outside the sauna for a minimum of 5 min to obtain pre-sauna measurements of heart rate, blood pressure, and body temperatures. Participants were subsequently exposed to one of the 3 experimental conditions, after which they walked back to the laboratory where flow-mediated dilation and reactive hyperemia were reassessed following 30 min of supine rest. A 30-min recovery period was chosen to allow brachial artery diameter to return to baseline values. For the conditions involving sauna bathing, participants sat upright on the upper bench of a traditional Finnish sauna maintained at 80.2 ± 3.2°C and 23 ± 2% relative humidity. For the condition involving 2 sauna exposures, participants sat upright outside the sauna during the 10-min rest period. Participants could drink water ad libitum during the experimental visits. A final nude weight was obtained at the end of the visit. Measurements Body height was measured with a stadiometer (model 216, Seca) and body mass with a high-performance digital scale (IND236, Mettler-Toledo, precision: 0.01 kg). Urine specific gravity was measured as an index of hydration status with a digital refractometer (PAL-10S, Atago). Heart rate was obtained from lead II of a continuous 5-lead low-pass filtered ECG signal (Solar i8000, GE Healthcare). Systolic and diastolic blood pressures were measured by ECG-gated automatic auscultation of the brachial artery (Tango M2, SunTech Medical). Skin temperatures were measured at the chest, shoulder, thigh, and calf with wireless sensors (iButtons, Embedded Data Systems) taped to the skin surface. Oral temperature was measured with a handheld thermometer (SureTemp Plus 690, Welch Allyn). Brachial artery flow-mediated dilation (FMD) was measured according to the most recent guidelines (Thijssen et al. 2011). Brachial artery diameter and peak blood velocity were measured simultaneously by high-resolution Doppler ultrasound (uSmart3300, Terason) equipped with a 4-15 MHz linear array transducer probe at an insonation angle of 60°. The participants rested supine with their right arm supported at 75–90° abduction. A rapid inflation/deflation pneumatic cuff (SC5, Hokanson) was placed immediately distal to the antecubital fossa. The ultrasound probe was placed 5–15 cm proximal to the right antecubital fossa, where an optimal B-mode image could be obtained. The measurement site was identified with a surgical marker and successive measurements in a given participant were made at the same site. A baseline recording of brachial artery diameter and blood velocity was performed for 1 min following which the forearm cuff was inflated to 250 mmHg for 5 min by a rapid cuff inflator (E20, Hokanson). The recording resumed 1 min before cuff deflation and continued for 3 min postdeflation. Ultrasound recordings were sent to a remote computer using a frame grabber (DVIUSB 3.0, Epiphan), were video captured (Camtasia v.9, TechSmith) and later analyzed, using edge-detection and wall-tracking software (Cardiovascular Suite v.3, Quipu SRL). This method provided measurements of arterial diameter, as well as time-averaged positive (antegrade) and negative (retrograde) blood velocities based on the Doppler envelope, at a sampling rate of 30 Hz. Data analyses Brachial artery diameter and blood velocities were averaged in successive 1-sec bins. Baseline brachial artery diameter (Dbase) was defined as the average diameter during the 1-min baseline recording. Peak brachial artery diameter (Dpeak) was defined as the maximal 1-sec average observed during the postocclusion period. Unadjusted FMD was determined as the percentage change in brachial artery diameter from baseline to peak: (Dpeak − Dbase)/Dbase × 100%. Shear rate area-under-the-curve (SRAUC) up to peak diameter was considered the stimulus for FMD. Shear rate was calculated as: 4 × mean blood velocity/diameter. Antegrade and retrograde shear rates were calculated using positive and negative mean blood velocity values, respectively. Reactive hyperemia was quantified as peak and area-under-the-curve (AUC) forearm vascular conductance during the 3-min postocclusion period. Forearm vascular conductance was calculated as forearm blood flow divided by the mean arterial pressure measured immediately before each FMD assessment. Forearm blood flow was calculated as vessel cross-sectional area multiplied by mean blood velocity. Mean arterial pressure was calculated as diastolic pressure +1/3 of pulse pressure. Mean skin temperature was calculated as a weighted summation of the four skin temperature measurements using the formula (Ramanathan 1964): 0.3 × (upper arm + chest) + 0.2 × (thigh + calf). Total sweat loss was calculated as the difference in nude body weight measurements corrected for any fluid intake and/or urine output. Statistical analyses Based on a previous study that reported a mean ± standard deviation increase in superficial femoral artery FMD of 1.5 ± 1.5% following 45 min of lower limb heating in healthy older adults (Romero et al. 2017), we calculated a priori that 16 participants would provide 80% power to detect a 1.5 ± 1.5% change in FMD using a two-tailed paired sample t-test with a level of significance of 0.01. A 1.5% increase in brachial artery FMD was considered meaningful, as the relative risk of cardiovascular events decreases by 13% per 1% increase in FMD (Inaba et al. 2010). The Shapiro–Wilk test was used to verify normality of data distribution at each time point. For normal distributions, statistical analyses were performed using paired t-tests for data measured at 2 time points and repeated measures one-way ANOVA for data measured at multiple time points, using Greenhouse–Geisser's adjustment for degrees of freedom when there was deviation from the assumption of sphericity, as detected by Mauchly's test. When distributions deviated from normality at one or more time points, Wilcoxon signed-ranks test was used to compare variables measured at two time points and Friedman test was used to compare data measured at multiple time points. When the ANOVA or Friedman test detected a significant main effect, pairwise comparisons were conducted using Sidak's adjustment. FMD measurements of sufficient quality for analysis were obtained in 16, 16, and 19 participants during the control, 1 × 10, and 2 × 10 conditions, respectively. Therefore, statistical analyses were performed for each condition separately. To account for potential Dbase variations between repeated FMD measurements, a linear mixed model was used to compare the main outcome of «log Dpeak − log Dbase» between pre and postsauna or time control, while using log Dbase as a covariate (Atkinson and Batterham 2013). SRAUC was also included as a covariate in the model to account for potential changes in the stimulus for FMD between repeated measurements. The critical P value was set at <0.05. Statistical analyses were performed using IBM SPSS v.24. All data are reported as mean ± standard deviation. The change in unadjusted FMD and reactive hyperemia during each condition is also presented as mean [95% confidence intervals]. Results Participant characteristics are reported in Table 1. Urine specific gravity upon arrival to the laboratory was similar between conditions (1.015 ± 0.006, 1.015 ± 0.006 and 1.017 ± 0.007 in the control, 1 × 10 and 2 × 10 conditions, respectively, P = 0.69). Table 1. Participant characteristics Variable Value Men/Women 10/11 Age (years) 66 ± 7 (51–79) Body mass index (kg/m2) 26.3 ± 2.5 (21.5–30.3) Resting heart rate (bpm) 60 ± 9 (44–75) Systolic blood pressure (mmHg) 122 ± 10 (103–139) Diastolic blood pressure (mmHg) 77 ± 8 (62–90) Fasting glucose (mmol/L) 5.0 ± 0.5 (4.4–6.1) Hb-A1C (%) 5.5 ± 0.3 (5.0–6.4) Total cholesterol (mmol/L) 5.2 ± 0.7 (3.8–6.3) Low-density lipoprotein (mmol/L) 2.8 ± 0.7 (1.5–3.9) High-density lipoprotein (mmol/L) 1.9 ± 0.5 (1.4–3.0) Triglycerides (mmol/L) 1.2 ± 0.5 (0.5–2.6) Physical activity level (METs*min/week) 3106 ± 1731 (720–6480) Sedentary time (h/d) 7.3 ± 3.9 (2.0–16.0) Values are mean ± SD (range). Sauna exposure All participants completed the 1 × 10 sauna session. All but one participant completed the 2 × 10 sauna session; one participant exited the sauna after 9 min of the second sauna bath due to hypotension (<90/60 mmHg). Sauna bathing increased mean skin temperature, oral temperature, and heart rate, whereas it decreased systolic, diastolic, and mean blood pressures (Table 2). Sweat loss was lower during the control condition (0.13 ± 0.07 kg) than during the 1 × 10 (0.21 ± 0.08 kg) and 2 × 10 conditions (0.35 ± 0.11 kg, P ≤ 0.01 for pairwise comparisons). Table 2. Body temperatures, heart rate and arterial blood pressure during the 3 experimental conditions Responses during the interventions Values at time of vascular testing Baseline Sauna 1 Recovery Sauna 2 P-value PRE POST P-value Mean skin temperature (°C) Control – – – – – 32.8 ± 0.5 33.0 ± 0.7 0.45 1 × 10 33.0 ± 0.5 41.5 ± 0.6 – – <0.01 33.0 ± 0.5 34.6 ± 0.5 <0.01 2 × 10 32.9 ± 0.5 40.9 ± 1.1* 35.0 ± 0.6* 41.2 ± 0.9* <0.01 32.9 ± 0.5 34.2 ± 0.8 <0.01 Oral temperature (°C) Control – – – – – 36.7 ± 0.2 36.6 ± 0.2 0.11 1 × 10 36.6 ± 0.2 37.1 ± 0.2 – – <0.01 36.6 ± 0.2 36.7 ± 0.2 0.10 2 × 10 36.5 ± 0.2 37.1 ± 0.2* 37.0 ± 0.1* 37.4 ± 0.3* <0.01 36.7 ± 0.2 36.8 ± 0.1 0.02 Heart rate (bpm) Control – – – – – 55 ± 6 53 ± 7 0.07 1 × 10 58 ± 10 81 ± 14 – – <0.01 56 ± 9 58 ± 10 0.04 2 × 10 57 ± 8 81 ± 12* 67 ± 10* 90 ± 13* <0.01 55 ± 6 58 ± 8 0.02 Systolic blood pressure (mmHg) Control – – – – – 117 ± 12 123 ± 16 0.06 1 × 10 123 ± 15 105 ± 11 – – <0.01 117 ± 12 115 ± 9 0.30 2 × 10 124 ± 14 111 ± 12* 117 ± 16 107 ± 18* <0.01 116 ± 11 116 ± 9 0.70 Diastolic blood pressure (mmHg) Control – – – – – 73 ± 9 76 ± 9 0.17 1 × 10 78 ± 7 72 ± 12 – – 0.03 74 ± 7 74 ± 7 0.68 2 × 10 78 ± 10 75 ± 9 80 ± 9 74 ± 13 0.01 74 ± 9 74 ± 9 0.82 Mean arterial pressure (mmHg) Control – – – – – 88 ± 9 92 ± 9 0.04 1 × 10 93 ± 9 83 ± 10* – – <0.01 89 ± 7 88 ± 7 0.39 2 × 10 93 ± 11 87 ± 9* 92 ± 10 85 ± 13* <0.01 88 ± 8 88 ± 8 0.71 Data are mean ± SD for n = 21. *P < 0.05 versus baseline (Sidak's adjustment). Effect of sauna bathing on FMD and reactive hyperemia Transition time between the end of sauna bathing and the start of the 30-min postsauna period was 9.3 ± 4.3 min. Body temperatures, heart rate and blood pressure measured at the time of flow-mediated dilation and reactive hyperemia assessments are reported in Table 2. Systolic and diastolic blood pressure was similar at the time of pre- and postmeasurements during all conditions, whereas mean arterial pressure was statistically elevated during the postmeasurement in the control condition. Heart rate and body temperatures were similar at the time of pre- and postassessments during the control condition. However, mean skin temperature and heart rate remained elevated for postsauna assessments during the 1 × 10 and 2 × 10 conditions, and oral temperature remained elevated postsauna during the 2 × 10 condition. Before cuff inflation, brachial artery diameter was similar during the pre- and postassessments during all conditions. Baseline shear pattern was similar before and after the control intervention (Table 3). Antegrade shear rate was increased and retrograde shear rate decreased postsauna during the 1 × 10, but not 2 × 10, condition (Table 3). Similarly, baseline forearm blood flow and vascular conductance were greater before the postmeasurement during the 1 × 10, but not control or 2 × 10 conditions (Table 3). SRAUC following cuff deflation was similar before and after the control and 2 × 10 conditions but was increased postsauna during the 1 × 10 condition (Table 3). Time to peak dilation of the brachial artery was similar before and after the control intervention but was increased after both sauna conditions (Table 3). The pre- to postintervention difference in unadjusted FMD was −0.11% [−1.14, 0.92], 0.72% [−0.38, 1.82] and 0.38% [−0.50, 1.27] during the control, 1 × 10, and 2 × 10 conditions, respectively. Within each condition, the pre- and postintervention unadjusted FMD values were statistically similar (P > 0.18 for each condition, Fig. 1). When adjusting for Dbase and SRAUC, FMD was also statistically similar between pre- and postintervention during the control (P = 0.95), 1 × 10 (P = 0.20), and 2 × 10 (P = 0.58) conditions (data not presented). Table 3. Flow-mediated dilation variables before (PRE) and after (POST) sauna or control interventions Variable Condition PRE POST P-value Baseline brachial artery diameter (mm) Control 4.12 ± 0.75 4.12 ± 0.70 0.98 1 × 10 4.08 ± 0.74 4.13 ± 0.73 0.28 2 × 10 4.10 ± 0.82 4.10 ± 0.77 0.99 Baseline forearm blood flow (mL/min) Control 55 ± 37 47 ± 27 0.23 1 × 10 71 ± 44 110 ± 53 <0.01 2 × 10 83 ± 75 79 ± 57 0.94 Baseline forearm vascular conductance (mL/min/mmHg) Control 0.63 ± 0.39 0.53 ± 0.32 0.17 1 × 10 0.81 ± 0.48 1.27 ± 0.64 <0.01 2 × 10 0.94 ± 0.85 0.91 ± 0.70 0.78 Baseline antegrade shear rate (sec−1) Control 75 ± 30 65 ± 31 0.22 1 × 10 103 ± 59 134 ± 48 <0.01 2 × 10 92 ± 43 97 ± 36 0.62 Baseline retrograde shear rate (sec−1) Control 7 ± 7 8 ± 7 0.96 1 × 10 8 ± 8 2 ± 2 <0.01 2 × 10 6 ± 7 4 ± 4 0.33 Peak FMD dilation (mm) Control 0.16 ± 0.08 0.16 ± 0.07 0.96 1 × 10 0.18 ± 0.09 0.22 ± 0.09 0.12 2 × 10 0.16 ± 0.06 0.18 ± 0.07 0.34 Time to peak dilation (ecs) Control 51 ± 26 44 ± 13 0.52 1 × 10 50 ± 16 68 ± 21 0.01 2 × 10 51 ± 23 60 ± 13 0.03 SRAUC to peak (a.u.) Control 7.3 ± 2.0 6.5 ± 2.5 0.23 1 × 10 7.6 ± 3.1 9.0 ± 3.5 0.05 2 × 10 7.5 ± 3.5 8.6 ± 3.5 0.20 Data are mean ± SD for n = 16 (control), n = 16 (1 × 10) and n = 19 (2 × 10). FMD, flow-mediated dilation; SRAUC, Shear rate area-under-the-curve. Figure 1Open in figure viewerPowerPoint Brachial artery flow-mediated dilation (FMD, unadjusted), peak and area-under-the-curve (AUC) forearm vascular conductance during reactive hyperemia before (PRE) and after (POST) sauna or control interventions. Boxes and error bars show means and standard deviations. Dots show individual values obtained for n = 16 (control), n = 16 (1 × 10) and n = 19 (2 × 10). Data were compared between PRE and POST by paired t-tests. *P < 0.05 versus PRE within condition. From pre- to postintervention, peak reactive hyperemia changed by −0.19 mL/min/mmHg [−0.55, 0.17], 0.60 mL/min/mmHg [−0.06, 1.26] and −0.07 mL/min/mmHg [−0.50, 0.35] during the control, 1 × 10, and 2 × 10 conditions, respectively. Peak forearm vascular conductance during reactive hyperaemia was statistically similar between pre- and postassessments for all conditions (P > 0.07 for each condition, Fig. 1). When expressed as AUC, reactive hyperemia changed by −0.35 mL/mmHg [−0.64, −0.06], 0.29 mL/mmHg [−0.23, 0.81], 0.14 mL/mmHg [−0.18, 0.46] during the control, 1 × 10, and 2 × 10 conditions, respectively. Statistically, forearm vascular conductance AUC decreased after the time control period (P = 0.02), whereas it was similar during pre- and postsauna assessments for the 1 × 10 (P = 0.25) and 2 × 10 (P = 0.37) conditions (Fig. 1). Discussion The current study evaluated the acute effect of typical Finnish sauna bathing sessions on brachial artery flow-mediated dilation and forearm reactive hyperemia in healthy middle-aged and older adults. Shorter (10 min) and longer (20 min) Finnish sauna sessions did not affect brachial artery flow-mediated dilation, as well as peak and area-under-the-curve forearm vascular conductance during reactive hyperemia. These data suggest that typical Finnish sauna bathing sessions do not acutely improve brachial artery flow-mediated dilation and reactive hyperemia in healthy middle-aged and older adults. Recent studies suggest that Finnish sauna bathing may represent a lifestyle intervention that is particularly beneficial for the primary and/or secondary prevention of cardiovascular diseases. Specifically, middle-aged Finnish men who self-reported using sauna 4–7 times per week (~14 min per session) or reported sauna durations >19 min had a 24% to 60% risk reduction for sudden cardiac death, fatal coronary disease and fatal cardiovascular disease over a 20-year follow-up (Laukkanen et al. 2015). Although these relationships were independent of several confounding variables, potential physiological adaptations suggesting a direct link between Finnish sauna bathing and improved cardiovascular health remain to be fully established. Presumably, the long-term benefits of Finnish sauna bathing may stem from the accumulation of acute physiologic

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