Case Report


Assessment of cardiovascular risk, heart rate variability, and functionality in the late postoperative period of bariatric surgery submitted to whole-body vibration exercise: A case report

,  ,  ,  ,  

1 Acadêmica de Fisioterapia, Curso de Fisioterapia, Universidade Iguaçu, Nova Iguaçu, Rio de Janeiro, Brazil

2 Professor, Mestre, Curso de Fisioterapia, Universidade Iguaçu, Nova Iguaçu, Rio de Janeiro, Brazil

3 Professor, Doutora, Curso de Medicina, Universidade Iguaçu, Nova Iguaçu, Rio de Janeiro, Brazil

4 Professora, Doutora, Curso de Fisioterapia, Universidade Iguaçu, Nova Iguaçu, Rio de Janeiro, Brazil; Professora do programa de mestrado em ciências da atividade Física, Universidade Salgado de Oliveira - UNIVERSO, Niterói, Rio de Janeiro, Brazil

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Antônio Marcos da Silva Catharino

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Brazil

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Article ID: 101393Z01AM2023

doi:10.5348/101393Z01AM2023CR

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Moreira AV, d’Alegria Tuza FA, de Moura PH, da Silva Catharino AM, Moreno AM. Assessment of cardiovascular risk, heart rate variability, and functionality in the late postoperative period of bariatric surgery submitted to whole-body vibration exercise: A case report. Int J Case Rep Images 2023;14(1):103–112.

ABSTRACT


Currently, a high prevalence of risk factors for cardiovascular diseases, such as obesity, sedentary lifestyle, and poor diet, has been observed among young people. Obesity is a public health problem that directly impacts the economy. In this case study, the authors are using data from a survey of a late postoperative bariatric surgery patient. Male patient, 23 years old, obese since childhood, 186 kg [body mass index (BMI) 61], sedentary, without other comorbidities. He denies smoking. On 10/30/2019, he underwent Y gastroplasty (Gastric Bypass) with a reduction of approximately 90% of the stomach. On 09/13/2021, he started an intervention protocol through whole-body vibration (WBV). Cardiovascular risk, heart rate variability, functionality, and quality of life were evaluated in the acute phase and in the chronic phase. The training was conducted through 10 interventions with exercises on the vibrating platform. Functionality was assessed through the tests: “Timed up and Go,” Sit/Stand, 6-minute Walk Test, and handgrip strength. A 7.1% gain in functional capacity was observed, with a 37.5% reduction in perceived exertion. In addition, there was a 39% gain in handgrip strength and a reduction in the execution time in the functional capacity tests. Heart rate variability after interventions showed that WBV can reduce cardiovascular risk. In conclusion, the exercise program allowed the reduction of body weight and body mass index and impacted the alteration of body composition and functionality, resulting in a reduction in cardiovascular risk.

Keywords: Cardiovascular risk, Glycemia, Heart rate variability, Obesity

Introduction


Obesity is becoming a pandemic, with an estimated 2.8 million people dying annually as a result of being overweight or obese [1]. Driven primarily by changes in the global food system, processed food production is more accessible and effectively marketed more than ever before [2].

Obesity is a public health problem that directly impacts the economy, where the main consequences are lower wages, lower probability of employment, and higher costs of health care, such as spending on medicines and hospitalizations [3].

Currently, a high prevalence of risk factors for cardiovascular diseases, such as obesity, sedentary lifestyle, and poor diet, has been observed among young people (18–50 years), in contrast to the trend of lower incidence of cardiovascular diseases in adults over 50 years old, who live in developed countries [4].

Often, severe obesity is characterized by low physical fitness and high cardiovascular risk due to a sedentary lifestyle. In addition, long-term maintenance of elevated levels of high blood pressure, hypercholesterolemia, and excess weight is associated with cardiovascular diseases [5]. Morbid obesity (BMI >40 kg/m2) is associated with reduced functional capacity, multiple comorbidities, and higher overall mortality [6].

Increased adiposity and insufficient musculature in obese individuals may alter bipedal posture and gait, reduce the quality of musculoskeletal tissue, and impair neuromuscular feedback. These physiological changes have an impact on stability [7].

Bariatric surgery is a world-class treatment for individuals with severe obesity. Compared to other treatments, it has been shown to be more effective and sustainable for weight loss and the resolution of obesity-related comorbidities [8].

There is evidence that the regular practice of physical activity promotes improvement in physical fitness parameters and contributes directly to the functional capacity and quality of life of operated individuals [9].

Whole-body vibration (WBV) emerged in the late 1990s and, recently, full-body vibration exercises have become an increasingly popular alternative training modality [10],[11]. This exercise passively generates intense stimulation that produces dynamic changes in muscle fiber length through the tonic vibration reflex. The technique utilizes rapid and repeated oscillations transmitted from a vibrating device while the individual is standing or sitting on a ground platform [12]. Whole-body vibration may be an appropriate exercise approach for patients who have difficulty practicing general exercises due to its efficacy and convenience of use. This form of exercise causes strong stimulation of the muscles with brief exposure to vibration. Many previous studies have reported the efficacy of WBV in various fields of medical science and physiology [11].

Considering the increase in the obese population, this study may contribute to public health measures and the option of using the vibrating platform as an alternative to physical activity to help combat obesity. The aim of this study was to evaluate the cardiovascular risk, heart rate variability, capillary glycemia, functionality, and handgrip strength in the late postoperative period of bariatric surgery submitted to WBV.

Case Report


The present study is characterized as a case study. The protocol followed the guidelines of the Declaration of Helsinki and Resolution No. 466/12, approved by the Ethics Committee of Universidade Iguaçu – CAAE: 40309720.1.0000.8044. Data collection took place at Clínica Escola de Fisioterapia da Universidade Iguaçu – Campus Nova Iguaçu – Rio de Janeiro.

We report the case of a 23-year-old male patient, obese since childhood, 186 kg (BMI 61), sedentary, without other comorbidities. He denied smoking. On 10/30/2019, he underwent Y gastroplasty (Gastric Bypass) with a reduction of approximately 90% of the stomach. On 09/13/2021, he started an intervention protocol through WBV. The anthropometric measurements on admission were 142.8 kg (BMI 48.3), height: 172 cm, abdominal circumference of 122 cm, conicity index: 1.1; waist/height ratio: 0.7, blood pressure: 120 × 80 mmHg, heart rate (HR): 87 bpm; maximum heart rate: 197 by the Karvonen Formula.

Prior to the exams, the volunteer was informed about the need to stop smoking at least 2 hours before the tests, not consuming coffee and/or alcohol in a period of less than 6 hours and abstaining from vigorous exercises for at least 24 hours before arriving at the school clinic.

On the day of the evaluation, he was duly informed about the content of the tests and signed an informed consent form. Then, an identification and anamnesis form were filled out.

Body mass and height were measured to the nearest 0.1 kg and 0.01 m, respectively, with the subject wearing light clothes and without shoes. Height was measured with a stadiometer (Welmy/Brazil) and body mass and bioimpedance were measured using the balance Itecnik (Model: IK-PCA00/China). Body mass index (BMI) was calculated as weight (kg)/height2 (m2).

The anthropometric method proposed to analyze the distribution of body fat was waist circumference (WC). It was determined by the average of 2 measurements taken with flexible tape at the waist (at the midpoint between the last rib and the iliac crest) [13]. Afterward, we calculated the conicity index and the waist-height ratio, calculated by WC (cm) divided by height (cm) [14],[15].

Cardiovascular risk was measured using the Framingham risk scale. The score was calculated based on the version of the Framingham Risk Score published in 2002 [16]. The maximum heart rate was obtained through the Karvonen formula (220—age) [17].

Heart rate recording was performed using a frequency meter (Polar—model S—810/Finland—2001) for a period of 15 minutes. To perform the HRV (variation of heart rate) spectral analysis, the time series of the R-R intervals were submitted to the Fast Fourier Transform using the Kubios HRV 2.0 software (Kubios—Savonia do Norte—Finland).

The isometric handgrip strength was determined using a WTC Fitness dynamometer (China). The elbow was flexed to a 90° angle in the sitting position. The peak torque consisting of three maximal efforts was determined as the maximum force. Each isometric contraction was maintained for 6 seconds. The results were normalized to body weight (kg).

The 6-minute walk test (6MWT) was performed on the day of evaluation and on the last day of intervention. The tests were carried out on a 30-meter course by a single examiner. The patient was instructed to walk according to his/her exercise tolerance for a period of 6 minutes. Phrases of encouragement were said during the walk. Before the start of each test, the respiratory rate, heart rate, and pulse oximetry were measured by a G-TECH/China oximeter, and the blood pressure was measured using a Premium/China sphygmomanometer and a Littmann stethoscope, as well as the perception of effort using the Borg Scale. At the end of each test, the same parameters were recorded again. The final result of the 6MWT was the measurement of the total distance walked in meters during 6 minutes [18].

The Timed Up and Go (TUG) was performed on the day of evaluation and on the last day of intervention. The test consists of getting up from a chair with a backrest, walking a distance of 3 meters, turning around, and returning. At the beginning of the test, the individual had the back resting on the back of the chair, and, at the end, he/she returned to the initial position. The individual received the instruction “GO” to perform the test and the time was timed in seconds from the command voice until the moment he/she touched their back on the back of the chair again. The test was performed once for familiarization and a second time for measuring the time. The time spent to perform the test generated a risk rating, being low risk (<10 seconds) and high risk (>20 seconds) [19],[20].

On the day of the first and last training day, the individual was monitored and submitted to blood glucose measurements before training, 5, 10, 15 minutes of training, and 30 minutes after training. In the other sessions, blood glucose was measured only immediately before and immediately after training. Prior to blood sample collection, asepsis was performed with 70% ethyl solution in the distal portion of the middle fingertip of the right hand. The puncture was performed with lancets of disposable material. One drop of blood was applied to one area of the test strip and was analyzed by Accutrend Plus.

The intervention on the vibrating platform (Kikos 204—São Paulo) was performed according to protocol: Varied frequency and varied peak-to-peak displacement (distance from the feet)—WBV exercise once a week, with a progressive frequency every 2 sessions, as follows: 2 sessions—5 Hz; 2 sessions—10 Hz; 2 sessions—15 Hz; 2 sessions—20 Hz; and 2 sessions—25 Hz. Being 3 repetitions (“bouts”), each bout is composed of 1 minute of platform, 1 minute of rest, 1 minute of platform, 1 minute of rest, and 1 minute of platform (Figure 1).

During the training on the platform, the individual held his hands in the platform maneuver and remained with his knees bent at 130° and bare feet.

For data analysis, these were organized in Excel spreadsheets. Statistical analyses were performed using the OriginLab Origin 8.0 (USA) program. Descriptive statistics were performed with means/standard deviation and percentage, plotted in graphs and tables.

The 10-year cardiovascular risk found was 2% (low) according to the Framingham scale. The measured waist circumference was 122 cm, with a conicity index of 1.23 and a waist-to-height ratio of 0.7 (Table 1).

Functional capacity was assessed by the 6-minute walk test. A 7.1% gain in functional capacity was observed, with a 37.5% reduction in perceived exertion. A 39% gain in handgrip strength was observed, as well as a reduction in the execution time in the following functional capacity tests: “Time Up and Go” and sit/stand, according to Table 2.

Capillary glycemia was evaluated in two moments. First, a glycemic curve was drawn during the first and last intervention (acute and chronic phase), as shown in Table 3. In addition, during the 10 interventions, glycemia before intervention and immediately at the end of the intervention was evaluated (Figure 2).

Heart rate variability was captured at rest and immediately at the end of the first and tenth intervention (Table 4).

SD1 represents the dispersion of points perpendicular to the identity line and appears to be an index of instantaneous recording of beat-to-beat variability; SD2 represents the dispersion of points along the identity line and represents the HRV in long-term records; the ratio of both (SD1/SD2) shows the ratio between the short and long variations of the RR intervals. We observed a slight increase (1.3%) in post-WBV HR (high frequency) in the acute phase and a reduction in post-WBV HR of 7.4% in the chronic phase, where the vibrating platform protocol was performed with an intensity of 25 Hz. There was a reduction in the “Stress Index” and SD2 (%) predominated over SD1 (%) in both phases. The sympathovagal balance represented by the LF/HF (low frequency/high frequency) ratio was <1.5 in the acute and chronic phases.

The recordings of HRV uptake pre- and post-WBV in the acute phase are shown in Figure 3. The records of HRV uptake pre- and post-WBV in the chronic phase are shown in Figure 4.

Figure 1: Vibrating platform (Kikos 204—São Paulo).

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Table 1: Anthropometric data

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Table 2: Assessment of functional capacity

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Table 3: Glycemic curve during first and last intervention

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Table 4: Assessment of heart rate variability in the acute phase (5 Hz frequency) and the chronic phase (25 Hz frequency)

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Figure 2: Pre- and post-intervention glycemia.

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Figure 3: Pre- and post-WBV heart rate variability in the acute phase.

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Figure 4: Pre- and post-WBV heart rate variability in the chronic phase.

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Discussion


The studied individual has risk factors for cardiovascular diseases, obesity, and a sedentary lifestyle. Physical inactivity increases the relative risk of developing type 2 diabetes mellitus by up to 112% [21].

The clinical guidelines recommend the use of cardiovascular risk assessment tools (risk scores) to predict the risk of events such as cardiovascular death, since these scores can assist in clinical decision-making and thus reduce the social and economic costs of cardiovascular disease [22].

The 10-year cardiovascular risk found was low (2%) according to the Framingham scale. However, the anthropometric measurements are above the cutoff value indicating cardiovascular risk. The measured waist circumference was 122 cm (cutoff value ≥94 cm) [23], with a conicity index of 1.23 (cutoff value ≤1.25) [23],[24] and waist/height ratio of 0.7 (cutoff value 0.50) [23]. According to Rosa et al. [25], the measurement of the distribution of fat deposits in the visceral region is made with greater precision by means of imaging exams; however, in population studies and in clinical practice, anthropometric measurements such as waist circumference, conicity index, and waist-to-height ratio are considered appropriate.

Although elevated body mass index (BMI) is used to define obesity, recent data indicate a superior role for waist circumference (WC) over BMI in assessing cardiometabolic risk [26]. Waist circumference is one of the most widely used methods in literature to assess abdominal adiposity, with suggestions for cutoff points associated with increased cardiovascular risk [27].

In only 10 WBV interventions we observed a slight improvement in body composition, as reported in previous studies [28],[29]. However, body weight and BMI hardly changed (reduction of 0.6% and 0.5%, respectively), as observed by Deng [30] in a study conducted in China with 39 obese university students. However, Zago et al. [28] state that even a modest weight loss (5–10% of body weight) helps reduce cardiovascular risk.

A study conducted by Roelants et al. [31] with 89 women demonstrated a gain in knee extension muscle strength. However, in a study conducted with eight obese male adolescents, no increase in handgrip power was observed [32]. In our case study, we observed a 39% increase in handgrip strength. Exposure to vibration directed to the body through the feet showed positive effects on muscle training and rehabilitation, probably due to the increases associated with muscle activity induced by vibration, blood flow, and muscle temperature [12].

The 6-minute walk test (6MWT) is a safe test that was originally developed to assess functional capacity, monitor the effectiveness of various treatments, and establish the prognosis of patients with cardiorespiratory diseases. However, more recently, the test has been validated in several populations [33],[34]. A study by de Souza et al. [35] evaluated the functional capacity of 51 obese patients after bariatric surgery and found the mean distance in the 6MWT of 381.9 ± 49.3 m before surgery and 467.8 ± 40.3 m after surgery.

The reference equation for the distance covered for this study was based on the research by Capodaglio et al. [36], where the proposed reference equation is: 6MWT = 894.2177 − (2.0700 × ageyears) − (51.4489 × male = 0; female = 1) − 5.1663 × BMIkg/m2 m. Based on this equation the distance that should have been covered is 546.6 m. However, the distance traveled before intervention was 420 m and after intervention 450 m, remaining below the predicted. However, there is a slight gain of 7.1% in functional capacity with a significant reduction (37.5%) in the perception of effort by the BORG scale. There was no drop in saturation during the test. Studies consider oxygen desaturation during exercise to be significant when there is a ≥4% decrease in basal saturation [37].

Postural instability explains the relationship between obesity [38] and the risk of falling due to the deleterious effects of increased plantar surface pressure on sensorimotor integrative processes and on the sensitivity of mechanoreceptors [39]. The TUG test has been widely used in clinical practice as an outcome measure to assess functional mobility, risk of falls, or dynamic balance in adults, and its normative values have already been established in this population [19],[40]. Whole-body vibration has been proven effective in improving functional performance by reducing execution time in the “Timed Up and Go” and sit/stand tests.

According to Sanni et al. [21], WBV provides beneficial changes in glucose metabolism. Regarding the effect on capillary glycemia, we evaluated pre-WBV, at the 5th and 10th minutes, immediately after the intervention (15th minute) and 30 minutes after WBV. From these, there was a 17.3% decrease in capillary blood glucose in the individuals in the first intervention (acute phase) with a 5 Hz frequency, and 7.3% in the tenth intervention (chronic phase) with a 25 Hz frequency. It was also found that after 30 minutes of rest after WBV, there was a reduction of 21.8% in the acute phase and we noticed an increase in glycemia of 3.1% in the chronic phase. This result was similar to that found by Sanni et al. [21], as the low-amplitude EWBV contributed to a more favorable improvement in glucose metabolism when compared to high-amplitude WBV.

Comparatively analyzing glycemia before and immediately at the end of the intervention during the 10 interventions, we noticed a reduction of 4.9%. In a study conducted by Di Loreto et al. [41], with 10 healthy men, in which volunteers were studied on two occasions before and after remaining for 25 minutes in a soil plate in the absence (control) or in the presence (vibration) of 30 Hz WBV, vibration slightly reduced plasma glucose.

The data obtained through HRV show a sympathetic predominance over the parasympathetic, which might be related to autonomic imbalance and stress. There was an improvement of 8.4% in SD2(%) and 50.5% in the “Stress Index” obtained in the 10th intervention. The LF/HF ratio remained <1.5 in both measurements but decreased to <0.9 in the chronic phase. According to Yilmaz et al. [42], the normality value of the LF/HF ratio is 1.5–2.0 ms2. The increased sympathovagal balance, indicated by a higher LF/HF, reflects the sympathetic predominance and is associated with an increased risk of hypertension [43]. These data show that WBV improves cardiovascular function.

It is recognized as an effective alternative exercise modality compared to resistance exercise for its ability to increase strength and power, generate capacity in skeletal muscle, increase bone mass, and improve cardiovascular function [44].

Conclusion


Whole-body vibration exercise was able to transiently reduce capillary blood glucose, increase handgrip strength, and heart rate variability, as demonstrated by the increase in parasympathetic response. The exercise program allowed the reduction of body weight and BMI and impacted body composition change and functionality, resulting in a reduced cardiovascular risk. Although the results were positive, this work is a case study and further testing in populations is needed.

REFERENCES


1.

Savvidis C, Tournis S, Dede AD. Obesity and bone metabolism. Hormones (Athens) 2018;17(2):205–17. [CrossRef] [Pubmed]   Back to citation no. 1  

2.

Swinburn BA, Sacks G, Hall KD, et al. The global obesity pandemic: Shaped by global drivers and local environments. Lancet 2011;378(9793):804–14. [CrossRef] [Pubmed]   Back to citation no. 1  

3.

Cibulková N, Daďová K, Mašková K, et al. Bariatric surgery and exercise: A pilot study on postural stability in obese individuals. PLoS One 2022;17(1):e0262651. [CrossRef] [Pubmed]   Back to citation no. 1  

4.

Andersson C, Vasan RS. Epidemiology of cardiovascular disease in young individuals. Nat Rev Cardiol 2018;15(4):230–40. [CrossRef] [Pubmed]   Back to citation no. 1  

5.

Maffiuletti NA, Agosti F, Marinone PG, Silvestri G, Lafortuna CL, Sartorio A. Changes in body composition, physical performance and cardiovascular risk factors after a 3-week integrated body weight reduction program and after 1-y follow-up in severely obese men and women. Eur J Clin Nutr 2005;59(5):685–94. [CrossRef] [Pubmed]   Back to citation no. 1  

6.

Castilho MM, Westphal G, Pereira IAS, et al. 6-Minute walk test (6MWT) in severe obesity: Considerations. Rev Valore 2020;5:e-5055.   Back to citation no. 1  

7.

Pagnotti GM, Haider A, Yang A, et al. Postural stability in obese preoperative bariatric patients using static and dynamic evaluation. Obes Facts 2020;13(5):499–513. [CrossRef] [Pubmed]   Back to citation no. 1  

8.

Bond DS, Smith KE, Schumacher LM, et al. Associations of physical activity and sedentary behavior with appetite sensations and eating regulation behaviors before and during the initial year following bariatric surgery. Obes Sci Pract 2021;8(2):164–75. [CrossRef] [Pubmed]   Back to citation no. 1  

9.

de Oliveira Terra CM, Simões CM, Mendes AA, et al. The relation among the physical activity level during leisure time, anthropometry, body composition, and physical fitness of women underwent of bariatric surgery and an equivalent group with no surgery. Arq Bras Cir Dig 2017;30(4):252–5. [CrossRef] [Pubmed]   Back to citation no. 1  

10.

Milanese C, Cavedon V, Sandri M, et al. Metabolic effect of bodyweight whole-body vibration in a 20-min exercise session: A crossover study using verified vibration stimulus. PLoS One 2018;13(1):e0192046. [CrossRef] [Pubmed]   Back to citation no. 1  

11.

Oh S, Oshida N, Someya N, et al. Whole-body vibration for patients with nonalcoholic fatty liver disease: A 6-month prospective study. Physiol Rep 2019;7(9):e14062. [CrossRef] [Pubmed]   Back to citation no. 1  

12.

Hazell TJ, Lemon PWR. Synchronous whole-body vibration increases VO2 during and following acute exercise. Eur J Appl Physiol 2012;112(2):413–20. [CrossRef] [Pubmed]   Back to citation no. 1  

13.

Díez-Fernández A, Martínez-Vizcaíno V, Torres-Costoso A, Cañete García-Prieto J, Franquelo-Morales P, Sánchez-López M. Strength and cardiometabolic risk in young adults: The mediator role of aerobic fitness and waist circumference. Scand J Med Sci Sports 2018;28(7):1801–7. [CrossRef] [Pubmed]   Back to citation no. 1  

14.

Roriz AKC, Passos LCS, de Oliveira CC, Eickemberg M, de Almeida Moreira P, Sampaio LR. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PLoS One 2014;9(7):e103499. [CrossRef] [Pubmed]   Back to citation no. 1  

15.

Neta ADCPA, de Farias JC Júnior, Martins PR, Ferreira FELL. Conicity index as a predictor of changes in the lipid profile of adolescents in a city in Northeast Brazil. [Article in Portuguese]. Cad Saude Publica 2017;33(3):e00029316. [CrossRef] [Pubmed]   Back to citation no. 1  

16.

Cintra F, Bittencourt LRA, Santos-Silva R, et al. The association between the Framingham risk score and sleep: A São Paulo epidemiological sleep study. Sleep Med 2012;13(6):577–82. [CrossRef] [Pubmed]   Back to citation no. 1  

17.

Pavy B, Darchis J, Merle E, et al. The daily living activities of the cardiac patient: Monocentre study. [Article in French]. Ann Cardiol Angeiol (Paris) 2015;64(5):337–44. [CrossRef] [Pubmed]   Back to citation no. 1  

18.

Nogueira IDB, Servantes DM, de Miranda Silva Nogueira PA, et al. Correlation between quality of life and functional capacity in cardiac failure. Arq Bras Cardiol 2010;95(2):238–43. [CrossRef] [Pubmed]   Back to citation no. 1  

19.

Podsiadlo D, Richardson S. The timed "Up & Go": A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991;39(2):142–8. [CrossRef] [Pubmed]   Back to citation no. 1  

20.

Wall JC, Bell C, Campbell S, Davis J. The Timed Get-up-and-Go test revisited: Measurement of the component tasks. J Rehabil Res Dev 2000;37(1):109– 13. [Pubmed]   Back to citation no. 1  

21.

Sanni AA, Blanks AM, Derella CC, et al. The effects of whole-body vibration amplitude on glucose metabolism, inflammation, and skeletal muscle oxygenation. Physiol Rep 2022;10(5):e15208. [CrossRef] [Pubmed]   Back to citation no. 1  

22.

Paredes S, Rocha T, Mendes D, et al. New approaches for improving cardiovascular risk assessment. Rev Port Cardiol 2016;35(1):5–13. [CrossRef] [Pubmed]   Back to citation no. 1  

23.

Pimentel GMDC, Wanderley PTDQC, Tavares FCDLP. Excesso de peso e índice de conicidade em idosos com diabetes mellitus. R Assoc Bras Nutr 2020;11(1):59–71. [CrossRef]   Back to citation no. 1  

24.

Pitanga FJG, Lessa I. Sensibilidade e especificidade do índice de conicidade como discriminador do risco coronariano de adultos em Salvador, Brasil. Rev Bras Epidemiol 2004;7(3):259–69. [CrossRef]   Back to citation no. 1  

25.

Rosa TLL, Dambrós BF, Kilpp DS, Borges LR, Bertacco RTA. Evaluation of cardiovascular risk from anthropometric measurements of patients attended at the nutrition outpatient clinic of the Hypertension and Diabetes Center of the Federal University of Pelotas. BRASPEN J 2018;33(3):271–5.   Back to citation no. 1  

26.

Cibičková Ľ, Langová K, Vaverková H, Lukeš J, Cibiček N, Karásek D. Superior role of waist circumference to body-mass index in the prediction of cardiometabolic risk in dyslipidemic patients. Physiol Res 2019;68(6):931–8. [CrossRef] [Pubmed]   Back to citation no. 1  

27.

de Oliveira ACM, Ferreira RC, Santos AA. Cardiovascular risk assessment according to the Framingham score and abdominal obesity in individuals seen by a clinical school of nutrition. Rev Assoc Med Bras (1992) 2016;62(2):138–44. [CrossRef] [Pubmed]   Back to citation no. 1  

28.

Zago M, Capodaglio P, Ferrario C, Tarabini M, Gall M. Whole-body vibration training in obese subjects: A systematic review. PLoS One 2018;13(9):e0202866. [CrossRef] [Pubmed]   Back to citation no. 1  

29.

Totosy de Zepetnek JO, Giangregorio LM, Craven BC. Whole-body vibration as potential intervention for people with low bone mineral density and osteoporosis: A review. J Rehabil Res Dev 2009;46(4):529–42. [CrossRef] [Pubmed]   Back to citation no. 1  

30.

Deng W. Effects of vibration training on weight loss and heart rate variability in the obese female college students. Biomed Res Int 2022;2022:1041688. [CrossRef] [Pubmed]   Back to citation no. 1  

31.

Roelants M, Delecluse C, Verschueren SM. Wholebody- vibration training increases knee-extension strength and speed of movement in older women. J Am Geriatr Soc 2004;52(6):901–8. [CrossRef] [Pubmed]   Back to citation no. 1  

32.

Sousa-Gonçalves CR, Tringali G, Tamini S, et al. Acute effects of whole-body vibration alone or in combination with maximal voluntary contractions on cardiorespiratory, musculoskeletal, and neuromotor fitness in obese male adolescents. Dose Response 2019;17(4):1559325819890492. [CrossRef] [Pubmed]   Back to citation no. 1  

33.

Dourado VZ. Reference equations for the 6-minute walk test in healthy individuals. [Article in Portuguese]. Arq Bras Cardiol 2011:S0066-782X2011005000024. [Pubmed]   Back to citation no. 1  

34.

Enright PL. The six-minute walk test. Respir Care 2003;48(8):783–5. [Pubmed]   Back to citation no. 1  

35.

de Souza SAF, Faintuch J, Fabris SM, et al. Six-minute walk test: Functional capacity of severely obese before and after bariatric surgery. Surg Obes Relat Dis 2009;5(5):540–3. [CrossRef] [Pubmed]   Back to citation no. 1  

36.

Capodaglio P, De Souza SA, Parisio C, et al. Reference values for the 6-min walking test in obese subjects. Disabil Rehabil 2013;35(14):1199–203. [CrossRef] [Pubmed]   Back to citation no. 1  

37.

Soaresa MR, de Castro Pereira CA. Six-minute walk test: Reference values for healthy adults in Brazil. J Bras Pneumol 2011;37(5):576–83. [CrossRef] [Pubmed]   Back to citation no. 1  

38.

Melzer I, Oddsson LIE. Altered characteristics of balance control in obese older adults. Obes Res Clin Pract 2016;10(2):151–8. [CrossRef] [Pubmed]   Back to citation no. 1  

39.

Gonzalez M, Gates DH, Rosenblatt NJ. The impact of obesity on gait stability in older adults. J Biomech 2020;100:109585. [CrossRef] [Pubmed]   Back to citation no. 1  

40.

Bohannon RW. Reference values for the timed up and go test: A descriptive meta-analysis. J Geriatr Phys Ther 2006;29(2):64–8. [CrossRef] [Pubmed]   Back to citation no. 1  

41.

Di Loreto C, Ranchelli A, Lucidi P, et al. Effects of whole-body vibration exercise on the endocrine system of healthy men. J Endocrinol Invest 2004;27(4):323–7. [CrossRef] [Pubmed]   Back to citation no. 1  

42.

Yılmaz M, Kayançiçek H, Çekici Y. Heart rate variability: Highlights from hidden signals. J Integr Cardiol 2018;4(5):1–8. [CrossRef]   Back to citation no. 1  

43.

Wong A, Figueroa A. Effects of whole-body vibration on heart rate variability: Acute responses and training adaptations. Clin Physiol Funct Imaging 2019;39(2):115–21. [CrossRef] [Pubmed]   Back to citation no. 1  

44.

Paineiras-Domingos LL, de Sá-Caputo DC, Moreira-Marconi E, et al. Can whole body vibration exercises affect growth hormone concentration? A systematic review. Growth Factors 2017;35(4–5):189–200. [CrossRef] [Pubmed]   Back to citation no. 1  

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Acknowledgments

Laisa Liane Paineiras Domingos: Physiotherapist, Master and PhD in Sciences from the Universidade do Estado do Rio de Janeiro. Ana Paula Lima de Santanna: Academic of the Physiotherapy Course at the Universidade Iguaçu. Thaís Silva Rodrigues Dionísio: Academic of the Physiotherapy Course at the Universidade Iguaçu.

Author Contributions

Amanda Vieira Moreira - Conception of the work, Design of the work, Drafting the work, Revising the work critically for important intellectual content, Final approval of the version to be published, Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Fábio Augusto d’Alegria Tuza - Conception of the work, Design of the work, Drafting the work, Final approval of the version to be published, Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Paulo Henrique de Moura - Conception of the work, Design of the work, Acquisition of data, Analysis of data, Drafting the work, Revising the work critically for important intellectual content, Final approval of the version to be published, Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Antônio Marcos da Silva Catharino - Conception of the work, Design of the work, Analysis of data, Drafting the work, Revising the work critically for important intellectual content, Final approval of the version to be published, Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Adalgiza Mafra Moreno - Conception of the work, Design of the work, Acquisition of data, Drafting the work, Revising the work critically for important intellectual content, Final approval of the version to be published, Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Guarantor of Submission

The corresponding author is the guarantor of submission.

Source of Support

None

Consent Statement

Written informed consent was obtained from the patient for publication of this article.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Conflict of Interest

Authors declare no conflict of interest.

Copyright

© 2023 Amanda Vieira Moreira et al. This article is distributed under the terms of Creative Commons Attribution License which permits unrestricted use, distribution and reproduction in any medium provided the original author(s) and original publisher are properly credited. Please see the copyright policy on the journal website for more information.