Impaired Cardiovascular Parameters in Resistance Training Practitioners Who Take Ergogenic Aids
by
, ,
Bruno Bavaresco Gambassi
1,2,3,†,
Daniela Conceição Gomes Gonçalves e Silva
1,4,†,
Camila Almeida Sá
1,
Roberto Rodrigues Bezerra
1,
Cleilson Barbosa de Freitas
1,
Marcelo Silva Costa
1,
Paulo Roberto da Silva Marques
2,
Pedro Paulo Ramos da Silva
1,
Manoel Pereira Guimarães
1,
Fabiano de Jesus Furtado Almeida
3,
Richard Diego Leite
5,
Dário Celestino Sobral Filho
4 and
Paulo Adriano Schwingel
1,4,*
1
Laboratório de Pesquisas em Desempenho Humano (LAPEDH), Universidade de Pernambuco (UPE), Petrolina 56328-900, PE, Brazil
2
Programa de Pós-Graduação em Gestão de Programas e Serviços de Saúde (PPGGPSS), CEUMA, São Luís 65075-120, MA, Brazil
3
Departamento de Artes e Educação Física (DAEF), Universidade Estadual do Maranhão (UEMA), São Luís 65055-970, MA, Brazil
4
Programa de Pós-Graduação em Ciências da Saúde (PPGCS), UPE, Recife 50100-130, PE, Brazil
5
Laboratório de Força e Condicionamento, Centro de Educação Física e Desportos (CEFD), Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, ES, Brazil
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
J. Cardiovasc. Dev. Dis. 2023, 10(3), 113; https://doi.org/10.3390/jcdd10030113
Submission received: 27 September 2022
/
Revised: 9 November 2022
/
Accepted: 28 November 2022
/
Published: 8 March 2023
Abstract
:Background: Although there are studies on blood pressure (BP) and autonomic cardiac control (ACC) impairments caused by ergogenic aids, research has scarcely addressed this analysis during sleep. This study analyzed BP and ACC during sleep and wake periods in three groups of resistance training (RT) practitioners: ergogenic aid non-users, thermogenic supplement (TS) self-users, and anabolic-androgenic steroid (AAS) self-users. Methods: RT practitioners were selected for the Control Group (CG; n = 15), TS self-users Group (TSG; n = 15), and AAS self-users Group (AASG; n = 15). All individuals underwent cardiovascular Holter monitoring (BP, ACC) during sleep and wake periods. Results: The maximum systolic BP (SBP) during sleep was higher in AASG (p < 0.01) than CG (p < 0.001). CG had lower mean diastolic BP (DBP) than TSG (p < 0.01) and lower mean SBP (p = 0.009) than the other groups. Additionally, CG had higher values (p < 0.01) than TSG and AASG for SDNN and pNN50 during sleep. HF, LF, and LF/HF ratio values during sleep were statistically different in CG (p < 0.001) from the other groups. Conclusions: Our findings demonstrate that high doses of TS and AAS can impair cardiovascular parameters during sleep in RT practitioners who take ergogenic aids.
1. Introduction
The increasing self-use of thermogenic supplements (TS) and anabolic-androgenic steroids (AAS) among young people who exercise regularly has been a concern among health professionals. Many resistance training (RT) practitioners try a variety of strategies to increase muscle mass and/or decrease body fat without solid scientific knowledge about such practices.
In this sense, Araújo, Andreolo, and Silva [1] observed that 34% of interviewed bodybuilders used supplements and 9% used AAS. Another piece of research demonstrated that 24% of interviewees used supplements, and 19% reported regular use of AAS [2]. Additionally, a study with 510 physically active people found that 76.1% of interviewees used supplements and/or AAS [3].
Given such a prevalence, it is crucial to verify the effects of TS and/or AAS self-medication on the risk of cardiovascular death. According to some studies, high TS doses cause negative changes in cardiovascular parameters [4,5,6]. In research conducted by Gomes Gonçalves e Silva et al. [7], significant differences in systolic BP (SBP) were observed comparing TS users with non-users. Additionally, abuse of AAS is also associated with cardiac arrhythmia, systemic arterial hypertension, cardiac hypertrophy, myocardial infarction, and sudden death [8,9,10,11,12,13,14,15,16,17].
Besides BP and ACC changes with a risk of cardiovascular death, there may also be an increased risk of complications depending on the period (e.g., sleep) when they are investigated. In this sense, O’Brien, Sheridan & O’Malley [18] have demonstrated that hypertensive patients with a lower nocturnal drop in BP had a higher prevalence of strokes, calling them “non-dippers”. In a recent study, Nakanishi et al. [19] observed that changes in nocturnal SBP may be associated with an increased risk of hypertensive brain injury. Zhang et al. [20] retrospectively assessed polysomnography data from 2111 volunteers and found worse ACC during sleep in patients with cardiovascular diseases than in individuals without them.
Although there are studies on BP and ACC impairments in ergogenic aid users, research has scarcely addressed this analysis during sleep. Given this and the health risks, the present study is necessary. Thus, the objective of this study was to analyze BP and ACC during sleep and wake periods in three groups of RT practitioners: ergogenic aid non-users, TS users, and AAS users.
2. Materials and Methods
2.1. Design
This analytical cross-sectional study was conducted upon approval by the Ethics Committee at the University of Pernambuco (CEP-UPE) and followed the ethical guidelines for human research according to the Declaration of Helsinki (1964, revised in 2013).
2.2. Participants
The sample comprised 346 physically active males, aged 18 to 50 years, recruited among RT practitioners at fitness centers in the Integrated Economic Development Region of Petrolina/PE and Juazeiro/BA in Brazil. Symptomatic volunteers with heart diseases (n = 33), diabetes (n = 11), competitive bodybuilders (n = 13), narcotic users (n = 43), smokers (n = 15), cosmetic doping self-users (n = 7), and excessive alcohol drinkers (n = 67) were excluded.
The initial sample (n = 157) comprised 15 RT practitioners using AAS during data collection without professional guidance (self-medication), 92 using TS without professional guidance (self-medication), and 50 ergogenic aid non-users. A total of 30 individuals were randomly selected among ergogenic aid non-users (control group [CG]; n = 15) and TS self-users group (TSG; n = 15) for comparison with the AAS self-users group (AASG; n = 15).
The CG comprised RT practitioners who reported not having ever used dietary supplements and/or AAS in their lives. TSG comprised regular users who had been taking, for at least 6 months, dietary supplements containing 1.3-dimethylamylamine (DMAA) or other ergogenic resources of the thermogenic type. AASG comprised users of testosterone and its synthetic derivatives. AASG participants did not have any medical prescriptions, and the substances were illegally acquired by users. Likewise, dietary supplements were used without any nutritional and/or medical prescription, and the compounds were purchased by users at registered stores. Participants were not offered any legal or illegal substances in this or any other phase of the research.
2.3. Assessments
2.3.1. Anthropometric
Their height was measured with a portable scientific stadiometer (Seca, Hamburg, Germany) placed on the wall, with 0.1-cm accuracy. Total body mass was evaluated with a properly calibrated (ISO/IEC 17025: 2005) electromechanical scale W200/5 (Welmy Indústria e Comércio Ltda, Santa Barbara d’Oeste, SP, Brazil) with 50-g accuracy. Body mass index (BMI) was obtained by dividing the body weight in kilograms by the square of the body height in meters.
2.3.2. Cardiovascular Parameters
BP and ACC were evaluated for 24 h with an electrocardiography Holter monitor and an ambulatory BP monitor (CardioMapa, Cardios, São Paulo, SP, Brazil). The most stable data in the 4-h sleep and wake period were used. Participants were instructed to maintain normal daily activities and record them in a personal diary.
R-R intervals (RRi) were recorded with a 3-channel ECG recorder (Cardiomapa, Cardios, São Paulo, SP, Brazil) at an 800-Hz sampling frequency in the supine position. After data collection, raw RRi data from ECG were exported in ASCII format to software supplied by the manufacturer.
Each participant’s skin was cleaned and prepared to fix surface electrodes (Red Dot™ 2560, 3M, Sumaré, SP, Brazil) before recording, following the manufacturer’s instructions. The white electrode was placed on the center of the manubrium; the red electrode, on the xiphoid process; the black electrode, on the left anterior axillary line on the sixth rib; and the green electrode, on the right anterior axillary line on the sixth rib.
For time-domain analysis, the standard deviation of all NN intervals (SDNN) and the percentage of consecutive RRi with differences greater than 50 ms (pNN50%) were calculated.
The frequency domain was analyzed with the Fast Fourier Transform test for previously selected RRi sequences with 4-Hz interpolation and 50% overlap. Two main spectral components were selected for analysis: low frequency (sympathetic and parasympathetic components [LF, from 0.04 to 0.15 Hz]) and high frequency (parasympathetic component [HF, from 0.15 to 0.50 Hz]). Normalized spectral components (LF, HF, and LF/HF ratio) were expressed in normalized units (nu). Normalization consisted of dividing the power of a given spectral component (HF or LF) by the total power minus the power below 0.04 Hz and multiplying this ratio by 100.
2.4. Data Processing and Statistical Analyses
Data were processed and analyzed in SPSS software (SPSS Inc., Chicago, IL, USA, Release 16.0.2, 2008). Descriptive statistics were made with the Shapiro–Wilk test and Bartlett’s criteria. Continuous variables were summarized with means and standard deviations (SD), while categorical variables were presented in frequencies and percentages. Comparisons between the means of the different conditions were made with ANOVA and Tukey’s post hoc test. All statistical methods were two-tailed, p-value calculations were exact, and the significance level was set to 5%.
3. Results
3.1. Blood Pressure
TS and/or AAS are generally used in defined periods, often with non-use intervals. The study considered TS or AAS consumption in the 30 days before the evaluation. The mean (±SD) length of self-reported TS use by the TSG was 3.0 (±1.5) months, with a weekly frequency of 5 to 7 days. TSG reported a concomitant self-consumption of 6.0 (±1.5) grams of caffeine and 1.2 (±0.6) grams of DMAA in the preceding month. AASG reported a combination of intramuscular and oral AAS self-use with a mean of 3.6 g (±1.2) of testosterone or equivalent in the same period. Reported intramuscular AAS injections contained testosterone or derivatives, while combined oral preparations contained oxymetholone and oxandrolone. The mean length of self-reported AAS use by the AASG was 4.0 (±1.0) years. Table 1 shows statistically similar demographic characteristics (p > 0.05) between the groups.
Significant statistical differences (p < 0.05) for systolic BP (SBP) and diastolic BP (DBP) were observed between the groups in both wake and sleep periods, except for the maximum DBP during sleep (Table 2). The mean SBP during sleep was statistically different between the three groups (p = 0.009), with CG presenting lower mean values than the others (Δ = −13.7 mmHg in comparison with TSG [p < 0.01]; Δ = −23.0 mmHg in comparison with AASG [p < 0.01]). During sleep, the maximum SBP was higher in AASG than CG (Δ = 17.8 mmHg; p < 0.01), and the mean DBP was higher in TSG than CG (Δ = 8.5 mmHg; p < 0.01). In addition, TSG had lower values for mean SBP during sleep than AASG (Δ = −9.3 mmHg; p < 0.01). In the same way, maximum SBP, maximum DBP, mean SBP, and mean DBP in wake periods had lower mean values in CG than in the other groups (p < 0.01). The mean SBP in wake periods was statistically higher in AASG than TSG (Δ = 9.6 mmHg; p < 0.05).
3.2. Autonomic Cardiac Control
The results of ACC analysis in RT practitioners for the wake and sleep periods using time-domain methods showed higher pNN50 values in the CG during wake periods (p < 0.01) and in SDNN and pNN50 values during sleep periods (p < 0.01) in comparison with TSG and AASG (Table 3).
Likewise, frequency-domain ACC analysis showed the same trend with good CG scores (Table 4). CG had statistically lower (p < 0.001) LF values and LF/HF ratio during sleep and wake periods than TSG and AASG (p < 0.001). In addition, HF values during sleep and wake periods were statistically higher in the CG than in the other groups (p < 0.001). Except for HF in wake periods, all other variables had values with statistical differences in AASG in comparison with TSG (p < 0.05).
4. Discussion
The main findings of the present study are the changes in mean systolic and mean diastolic BP and ACC (SDNN; pNN50; HF; LF; LF/HF ratio) during sleep, comparing RT practitioners who do not take ergogenic aids with TS self-users and AAS self-users. In addition, this is the first study to analyze BP and ACC during sleep in this population.
These findings have important clinical and public health implications since increased SBP during sleep strongly predicts cerebrovascular disease [18,21]. Also, a decline in BP (<10%) during sleep is associated with a lower risk of morbidity and mortality from cerebrovascular disorders [22,23]. High BP during sleep may indicate persistent sympathetic hyperactivity, thus contributing to cardiovascular disease onset [21,22,23,24].
Changes in BP were also observed in the wake period for all groups. Corroborating these findings, a previous study by Gomes Gonçalves e Silva et al. [7] has demonstrated an increase in SBP in RT practitioners who took AAS or TS, in comparison with those who had never taken them. In line with the findings, research points out that supplement use (dimethylamine, alone or in combination with caffeine), can damage SBP and DBP control and mean BP [4,25,26]. In addition, AAS abuse is associated with cardiovascular impairments (cardiac arrhythmia, systemic arterial hypertension, cardiac hypertrophy, myocardial infarction) and sudden death [8,9,10,11,12,13,14,15,16,17].
According to Urhausen, Albers, and Kindermann [9], several years after discontinuing AAS abuse, RT athletes still have slightly concentric left ventricular hypertrophy compared to athletes who had never taken them. Additionally, chronic AAS use changes the tonus and reflex control of the cardiovascular system [10]. In this sense, cardiac receptors and BP receptors changes are essential factors to consider in cardiovascular AAS actions, according to Beutel et al. [10]. In addition to these impairments, AAS is associated with endothelial dysfunction with a consequent increase in the risk of atherosclerosis [8].
Hence, studies have shown an increase in BP with TS use and/or AAS self-medication. However, the time (duration) and/or amount per cycle necessary to cause such changes remain poorly understood. As previously mentioned, findings on long-term caffeine intake and changes in BP are conflicting.
Another important finding in the present study is the worse ACC during sleep in AASG and TSG than in CG. SDNN, pNN50, HF, LF, and LF/HF ratio values were statistically different (p < 0.001) between CG and the other groups during sleep.
These findings also have important clinical implications since reduced heart rate variability during sleep is associated with the risk of stroke [27]. Evidence has demonstrated that ACC during sleep was independently associated with an increased risk of cardiovascular disease and a higher risk of lethal events after myocardial infarction [20,28]. Additionally, an elegant study by Zhang et al. [20] has demonstrated that changes in heart rate variability during sleep might occur many years before the onset of cardiovascular diseases.
Besides such damages, the present study also observed changes in ACC in wake periods in AASG, in contrast with CG and TS. Corroborating these findings, evidence has demonstrated cardiovascular impairment after AAS or TS use [4,5,6,8,9,10,11,12,13,14,15,16]. In this sense, in recent research on the effects of long-term AAS abuse on cardiac autonomic efficacy and cardiac adaptations in strength-trained athletes, impaired heart rate variability was associated with early left ventricular diastolic dysfunction [29]. Hence, impaired ACC (negative changes in the interaction between the central and peripheral nervous systems and afferent and/or efferent pathways) increases the risk of cardiac impairments.
The research design and small sample size may be regarded as limitations of this study. However, our findings encourage further studies on the topic.
5. Conclusions
The findings of this study demonstrate negative changes in cardiovascular parameters during sleep and wake periods in RT after using ergogenic aids. Further randomized controlled trials with tighter control of sources of invalidation (e.g., experimental studies using randomized tests before and after treatment and evaluations conducted by blinded investigators) are needed to understand the mechanisms associated with the changes found in this research.
Author Contributions
Conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing—original draft preparation, review and editing, visualization, supervision, and project administration: B.B.G., D.C.G.G.e.S., D.C.S.F. and P.A.S.; Conceptualization, visualization, supervision, and project administration: C.A.S., R.R.B., C.B.d.F., M.S.C. and P.P.R.d.S.; Formal analysis, investigation, resources, data curation, writing—review and editing: P.R.d.S.M., M.P.G., F.d.J.F.A. and R.D.L. All authors have read and agreed to the published version of the manuscript.
Funding
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES) [under Finance Code 001] and was supported by Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE) [APQ-0246-4.06/14]. D.C.G.G.e.S. was granted a doctorate scholarship by CAPES. C.A.S, R.R.B., and M.S.C. were granted a scholarship by FACEPE, and C.B.de.F. was granted a scholarship by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
Institutional Review Board Statement
This study was conducted according to the Declaration of Helsinki. In addition, the study was approved by the Ethics Committee of the University of Pernambuco (CEP-UPE) (number: 895.866).
Informed Consent Statement
Written informed consent was obtained from all participants involved in the study.
Data Availability Statement
Not applicable.
Acknowledgments
The authors are grateful to all study participants.
Conflicts of Interest
The authors have no conflict of interest.
References
- Araújo, L.R.D.; Andreolo, J.; Silva, M.S. Utilizaçäo de suplemento alimentar e anabolizante por praticantes de musculaçäo nas academias de Goiânia-GO. Rev. Bras. Ciênc. Mov. 2002, 10, 13–18. [Google Scholar] [CrossRef]
- Pereira, R.F.; Lajolo, F.M.; Hirschbruch, M.D. Supplement consumption among fitness center users in São Paulo, Brazil. Rev. Nutr. 2003, 16, 265–272. [Google Scholar] [CrossRef] [Green Version]
- Alves, C.; Lima, R.V.B. Uso de suplementos alimentares por adolescentes. J. Ped. 2009, 85, 287–294. [Google Scholar] [CrossRef]
- Buchanan, S.R.; Karabulut, M.A. Caffeine-containing weight loss supplement augments hemodynamic responses after exercise. Int. J. Cardiol. 2018, 253, 133–137. [Google Scholar] [CrossRef]
- Kliszczewicz, B.; Bechke, E.; Williamson, C.; Bailey, P.; Hoffstetter, W.; McLester, J.; McLester, C. The influence of citrus aurantium and caffeine complex versus placebo on the cardiac autonomic response: A double-blind crossover design. J. Int. Soc. Sports Nutr. 2018, 15, 34. [Google Scholar] [CrossRef] [Green Version]
- Zaidan, J.; Tabet, R.; Karam, B.; Daneshvar, F.; Raza, M.; Bekheit, S. Asystole caused by Hydroxycut Hardcore: A case report and literature review. Ann. Noninvasive Electrocardiol. 2018, 23, e12479. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gomes Gonçalves e Silva, D.C.; Bavaresco Gambassi, B.; Dantas, M.G.B.; Lima-Oliveira, J.; Vieira de Carvalho, S.L.; Morais, P.A.d.O.; Sá, C.A.; Cotrim, H.P.; Santos, A.M.; Sobral Filho, D.C.; et al. Excessive dietary supplement use and blood pressure among Brazilian male resistance training practitioners and bodybuilders. J. Subst. Use 2019, 24, 619–625. [Google Scholar] [CrossRef]
- Ebenbichler, C.F.; Sturm, W.; Gänzer, H.; Bodner, J.; Mangweth, B.; Ritsch, A.; Sandhofer, A.; Lechleitner, M.; Föger, B.; Patsch, J.R. Flow-mediated, endothelium-dependent vasodilatation is impaired in male body builders taking anabolic-androgenic steroids. Atherosclerosis 2001, 158, 483–490. [Google Scholar] [CrossRef] [PubMed]
- Urhausen, A.; Albers, T.; Kindermann, W. Are the cardiac effects of anabolic steroid abuse in strength athletes reversible? Heart 2004, 90, 496–501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Beutel, A.; Bergamaschi, C.T.; Campos, R.R. Effects of chronic anabolic steroid treatment on tonic and reflex cardiovascular control in male rats. J. Steroid Biochem. Mol. Biol. 2005, 93, 43–48. [Google Scholar] [CrossRef]
- Pereira-Junior, P.P.; Chaves, E.A.; Costa-E-Sousa, R.H.; Masuda, M.O.; de Carvalho, A.C.; Nascimento, J.H. Cardiac autonomic dysfunction in rats chronically treated with anabolic steroid. Eur. J. Appl. Physiol. 2006, 96, 487–494. [Google Scholar] [CrossRef]
- Jitomir, J.; Nassar, E.; Culbertson, J.; Moreillon, J.; Buford, T.; Hudson, G.; Cooke, M.; Kreider, R.; Willoughby, D.S. The acute effects of the thermogenic supplement Meltdown on energy expenditure, fat oxidation, and hemodynamic responses in young, healthy males. J. Int. Soc. Sports Nutr. 2008, 5, 23. [Google Scholar] [CrossRef] [Green Version]
- Outlaw, J.; Wilborn, C.; Smith, A.; Urbina, S.; Hayward, S.; Foster, C.; Wells, S.; Wildman, R.; Taylor, L. Effects of ingestion of a commercially available thermogenic dietary supplement on resting energy expenditure, mood state and cardiovascular measures. J. Int. Soc. Sports Nutr. 2013, 10, 25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Maior, A.S.; Carvalho, A.R.; Marques-Neto, S.R.; Menezes, P.; Soares, P.P.; Nascimento, J.H. Cardiac autonomic dysfunction in anabolic steroid users. Scand. J. Med. Sci. Sports 2013, 23, 548–555. [Google Scholar] [CrossRef]
- Baggish, A.L.; Weiner, R.B.; Kanayama, G.; Hudson, J.I.; Lu, M.T.; Hoffmann, U.; Pope, H.G., Jr. Cardiovascular toxicity of illicit anabolic-androgenic steroid use. Circulation 2017, 135, 1991–2002. [Google Scholar] [CrossRef] [Green Version]
- Barbosa Neto, O.; da Mota, G.R.; De Sordi, C.C.; Resende, E.A.M.R.; Resende, L.A.P.R.; Vieira da Silva, M.A.; Marocolo, M.; Côrtes, R.S.; de Oliveira, L.F.; Dias da Silva, V.J. Long-term anabolic steroids in male bodybuilders induce cardiovascular structural and autonomic abnormalities. Clin. Auton Res. 2018, 28, 231–244. [Google Scholar] [CrossRef] [PubMed]
- Pinheiro, J.L.; Maia, B.P.; Lima, A.B.D.; Domingues, R.J.D.S.; Oliveira, F.R.T.; Freitas, J.J.D.S.; Kietzer, K.S. Nandrolone decanoate is prooxidant in the myocardium of exercised or sedentary rats. Rev. Bras. Med. Esporte 2020, 26, 16–20. [Google Scholar] [CrossRef] [Green Version]
- O’Brien, E.; Sheridan, J.; O’Malley, K. Dippers and non-dippers. Lancet 1988, 2, 397. [Google Scholar] [CrossRef] [PubMed]
- Nakanishi, K.; Jin, Z.; Homma, S.; Elkind, M.S.V.; Rundek, T.; Schwartz, J.E.; Lee, T.C.; Tugcu, A.; Yoshita, M.; DeCarli, C.; et al. Night-time systolic blood pressure and subclinical cerebrovascular disease: The Cardiovascular Abnormalities and Brain Lesions (CABL) study. Eur. Heart J. Cardiovasc. Imaging 2019, 20, 765–771. [Google Scholar] [CrossRef]
- Zhang, L.; Wu, H.; Zhang, X.; Wei, X.; Hou, F.; Ma, Y. Sleep heart rate variability assists the automatic prediction of long-term cardiovascular outcomes. Sleep Med. 2020, 67, 217–224. [Google Scholar] [CrossRef]
- Boggia, J.; Li, Y.; Thijs, L.; Hansen, T.W.; Kikuya, M.; Björklund-Bodegård, K.; Richart, T.; Ohkubo, T.; Kuznetsova, T.; Torp-Pedersen, C.; et al. Prognostic accuracy of day versus night ambulatory blood pressure: A cohort study. Lancet 2007, 370, 1219–1229. [Google Scholar] [CrossRef]
- Ohkubo, T.; Hozawa, A.; Yamaguchi, J.; Kikuya, M.; Ohmori, K.; Michimata, M.; Matsubara, M.; Hashimoto, J.; Hoshi, H.; Araki, T.; et al. Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: The Ohasama study. J. Hypertens 2002, 20, 2183–2189. [Google Scholar] [CrossRef]
- Metoki, H.; Ohkubo, T.; Kikuya, M.; Asayama, K.; Obara, T.; Hashimoto, J.; Totsune, K.; Hoshi, H.; Satoh, H.; Imai, Y. Prognostic significance for stroke of a morning pressor surge and a nocturnal blood pressure decline: The Ohasama study. Hypertension 2006, 47, 149–154. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ohkubo, T. Prognostic significance of variability in ambulatory and home blood pressure from the Ohasama study. J. Epidemiol. 2007, 17, 109–113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bloomer, R.J.; Harvey, I.C.; Farney, T.M.; Bell, Z.W.; Canale, R.E. Effects of 1,3-dimethylamylamine and caffeine alone or in combination on heart rate and blood pressure in healthy men and women. Phys. Sportsmed. 2011, 39, 111–120. [Google Scholar] [CrossRef]
- Alsufyani, H.A.; Docherty, J.R. Methylhexaneamine causes tachycardia and pressor responses indirectly by releasing noradrenaline in the rat. Eur. J. Pharmacol. 2019, 843, 121–125. [Google Scholar] [CrossRef]
- Binici, Z.; Mouridsen, M.R.; Køber, L.; Sajadieh, A. Decreased nighttime heart rate variability is associated with increased stroke risk. Stroke 2011, 42, 3196–3201. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vanoli, E.; Adamson, P.B.; Ba-Lin; Pinna, G.D.; Lazzara, R.; Orr, W.C. Heart rate variability during specific sleep stages. A comparison of healthy subjects with patients after myocardial infarction. Circulation 1995, 91, 1918–1922. [Google Scholar] [CrossRef]
- Kouidi, E.J.; Kaltsatou, A.; Anifanti, M.A.; Deligiannis, A.P. Early left ventricular diastolic dysfunction, reduced baroreflex sensitivity, and cardiac autonomic imbalance in anabolic-androgenic steroid users. Int. J. Environ. Res. Public Health 2021, 29, 6974. [Google Scholar] [CrossRef]
Table 1.
Comparison of demographic and anthropometric characteristics of RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
Table 1.
Comparison of demographic and anthropometric characteristics of RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
| Variables | Groups | p# | ||
|---|---|---|---|---|
| Control (n = 15) | TS (n = 15) | AAS (n = 15) | ||
| Age, years | 24.7 ± 5.4 | 24.8 ± 3.7 | 21.7 ± 3.3 | 0.086 |
| Height, m | 1.77 ± 0.05 | 1.76 ± 0.07 | 1.74 ± 0.07 | 0.433 |
| Weight, kg | 82.4 ± 11.4 | 80.3 ± 9.3 | 73.9 ± 12.4 | 0.105 |
| Body mass index, kg·m2 | 26.2 ± 3.5 | 26.1 ± 3.4 | 24.2 ± 3.1 | 0.899 |
| Testosterone, g | - | - | 3.6 ± 1.2 | - |
| Caffeine, g | - | 6.0 ± 1.5 | - | - |
| Dimethylamylamine, g | - | 1.2 ± 0.6 | - | - |
TS: thermogenic supplements; AAS: anabolic-androgenic steroids; m: meter; kg: kilogram; g: gram. # p-values obtained in one-way ANOVA.
Table 2.
Comparison of blood pressure levels in sleep and wake periods between RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
Table 2.
Comparison of blood pressure levels in sleep and wake periods between RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
| Evaluation Moments | Groups | p# | ||
|---|---|---|---|---|
| Control | TS | AAS | ||
| (n = 15) | (n = 15) | (n = 15) | ||
| Sleep | ||||
| Maximum SBP, mmHg | 119.5 ± 6.5 A | 128.5 ± 14.9 | 137.3 ± 17.7 B | 0.004 |
| Maximum DBP, mmHg | 63.3 ± 12.2 | 67.9 ± 11.0 | 66.4 ± 12.5 | 0.564 |
| Mean SBP, mmHg | 103.6 ± 4.0 A | 117.3 ± 12.3 B | 126.6 ± 12.4 C | <0.001 |
| Mean DBP, mmHg | 55.7 ± 7.6 A | 64.2 ± 6.5 B | 61.5 ± 7.9 | 0.009 |
| Wake | ||||
| Maximum SBP, mmHg | 126.9 ± 10.2 A | 133.5 ± 11.8 B | 150.5 ± 15.0 B | <0.001 |
| Maximum DBP, mmHg | 70.2 ± 10.3 A | 73.9 ± 8.1 B | 93.8 ± 24.7 B | <0.001 |
| Mean SBP, mmHg | 117.4 ± 5.8 A | 127.4 ± 11.3 B | 137.0 ± 10.6 C | <0.001 |
| Mean DBP, mmHg | 64.1 ± 7.1 A | 71.2 ± 6.6 B | 72.5 ± 7.2 B | 0.004 |
TS: thermogenic supplements; AAS: anabolic-androgenic steroids; SBP: systolic blood pressure; DBP: diastolic blood pressure; mmHg: millimeter of mercury. # p-values were obtained with one-way ANOVA, and the different letters represent statistical differences (p < 0.05) in the post hoc test. A: p < 0.05 in comparison with B and/or C; B: p < 0.05 in comparison with C.
Table 3.
Comparison of time-domain analysis of heart rate variability in sleep and wake periods between RT practitioners who take thermogenic supplements (TS), anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
Table 3.
Comparison of time-domain analysis of heart rate variability in sleep and wake periods between RT practitioners who take thermogenic supplements (TS), anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
| Evaluation Moments | Groups | p# | ||
|---|---|---|---|---|
| Control | TS | AAS | ||
| (n = 15) | (n = 15) | (n = 15) | ||
| Sleep | ||||
| SDNN, ms | 157.7 ± 31.5 A | 121.2 ± 29.7 B | 117.6 ± 22.2 B | <0.001 |
| pNN50, % | 51.1 ± 17.8 A | 30.5 ± 16.7 B | 31.6 ± 15.6 B | 0.002 |
| Wake | ||||
| SDNN, ms | 138.3 ± 53.6 | 96.9 ± 28.5 | 109.3 ± 54.8 | 0.059 |
| pNN50, % | 23.9 ± 11.0 A | 12.8 ± 13.2 B | 9.7 ± 9.7 B | 0.004 |
TS: thermogenic supplements; AAS: anabolic-androgenic steroids; SDNN: standard deviation of NN intervals; pNN50: percentage of successive RR intervals with more than a 50-millisecond difference; ms: millisecond. # p-values were obtained with one-way ANOVA, and the different letters represent statistical differences (p < 0.05) in the post hoc test. A: p < 0.05 in comparison with B.
Table 4.
Comparison of the frequency-domain analysis of heart rate variability in sleep and wake periods between RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
Table 4.
Comparison of the frequency-domain analysis of heart rate variability in sleep and wake periods between RT practitioners who take thermogenic supplements (TS) or anabolic-androgenic steroids (AAS), or who are ergogenic aid non-users (Control).
| Evaluation Moments | Groups | p# | ||
|---|---|---|---|---|
| Control | TS | AAS | ||
| (n = 15) | (n = 15) | (n = 15) | ||
| Sleep | ||||
| LF, nu | 46.0 ± 10.2 A | 66.6 ± 12.1 B | 79.0 ± 15.4 C | <0.001 |
| HF, nu | 45.9 ± 6.0 A | 36.2 ± 7.0 B | 29.6 ± 6.3 C | <0.001 |
| LF/HF ratio | 1.0 ± 0.2 A | 1.9 ± 0.5 B | 2.6 ± 0.9 C | <0.001 |
| Wake | ||||
| LF, nu | 42.8 ± 9.8 A | 69.2 ± 9.3 B | 80.5 ± 4.4 C | <0.001 |
| HF, nu | 42.9 ± 5.5 A | 31.2 ± 8.7 B | 25.8 ± 5.7 B | <0.001 |
| LF/HF ratio | 1.0 ± 0.3 A | 2.4 ± 0.8 B | 3.4 ± 1.1 C | <0.001 |
TS: thermogenic supplements; AAS: anabolic-androgenic steroids; LF: low frequency; HF: high frequency; nu: normalized unit. # p-values were obtained with one-way ANOVA, and the different letters represent statistical differences (p < 0.05) in the post hoc test. A: p < 0.05 in comparison with B and/or C; B: p < 0.05 in comparison with A and/or C; C: p < 0.05 in comparison with A and/or B (unnecessary by the explanation for A or B).
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MDPI and ACS Style
Bavaresco Gambassi, B.; Gonçalves e Silva, D.C.G.; Sá, C.A.; Bezerra, R.R.; de Freitas, C.B.; Costa, M.S.; Marques, P.R.d.S.; da Silva, P.P.R.; Guimarães, M.P.; Almeida, F.d.J.F.; et al. Impaired Cardiovascular Parameters in Resistance Training Practitioners Who Take Ergogenic Aids. J. Cardiovasc. Dev. Dis. 2023, 10, 113. https://doi.org/10.3390/jcdd10030113
AMA Style
Bavaresco Gambassi B, Gonçalves e Silva DCG, Sá CA, Bezerra RR, de Freitas CB, Costa MS, Marques PRdS, da Silva PPR, Guimarães MP, Almeida FdJF, et al. Impaired Cardiovascular Parameters in Resistance Training Practitioners Who Take Ergogenic Aids. Journal of Cardiovascular Development and Disease. 2023; 10(3):113. https://doi.org/10.3390/jcdd10030113
Chicago/Turabian StyleBavaresco Gambassi, Bruno, Daniela Conceição Gomes Gonçalves e Silva, Camila Almeida Sá, Roberto Rodrigues Bezerra, Cleilson Barbosa de Freitas, Marcelo Silva Costa, Paulo Roberto da Silva Marques, Pedro Paulo Ramos da Silva, Manoel Pereira Guimarães, Fabiano de Jesus Furtado Almeida, and et al. 2023. "Impaired Cardiovascular Parameters in Resistance Training Practitioners Who Take Ergogenic Aids" Journal of Cardiovascular Development and Disease 10, no. 3: 113. https://doi.org/10.3390/jcdd10030113
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