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Article

Profile of Whole Body Electromyostimulation Training Users—A Pilot Study

by
Luiz Rodrigues-Santana
1,*,
Hugo Louro
2,3,
Ángel Denche-Zamorano
4,
Alejandro Vega-Muñoz
5,
Nicolás Contreras-Barraza
6 and
Jose Carmelo Adsuar
4
1
Faculty of Sport Science, University of Extremadura, 10003 Cáceres, Spain
2
Sport Sciences School of Rio Maior, Research Center in Sport Science, Health and Human Development, 5000-801 Vila Real, Portugal
3
Life Quality Research Center, 2040-413 Santarém, Portugal
4
Promoting a Healthy Society (PHeSo), Faculty of Sport Science, University of Extremadura, 10003 Cáceres, Spain
5
Public Policy Observatory, Universidad Autónoma de Chile, Santiago 7500912, Chile
6
Facultad de Economía y Negocios, Universidad Andres Bello, Viña del Mar 2531015, Chile
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(8), 4711; https://doi.org/10.3390/ijerph19084711
Submission received: 16 February 2022 / Revised: 6 April 2022 / Accepted: 8 April 2022 / Published: 13 April 2022
(This article belongs to the Special Issue Health Promotion Using New Technology)

Abstract

:
(1) Introduction: Whole Body Electromyostimulation is a technological and time efficient personal training practiced all over the world. With the increase of practitioners in the last 10 years, the need to study more about practitioners has arisen, so this pilot study aims to trace a user profile of this method through the analysis of socio-demographic data for a better understand of the profile of people looking for this type of training to improve the effectiveness of the intervention and develop programs that are in accordance with the motivation of practitioners. (2) Methods: 270 users from 5 countries answered an online questionnaire with socio-demographic questions. Data were treated using descriptive statistics. Possible differences between sexes and between groups were analyzed by means of non-parametric statistical tests: Mann–Whitney U-test (continuous variables); in addition to studying possible dependence relationships and differences between proportions, using the Chi-square statistic with pairwise z-test using the Bonferroni correction (categorical variables). (3) Results: Middle-aged women are the main user of this type of training. The majority of WB-EMS users do another type of physical activity with significant difference between men and woman (p < 0.05) men are more active than women. Weight loss, health and wellness and muscle mass increase are the main goals of the WB-EMS users. There are significant differences in weight loss and rehabilitation between genders (p < 0.05). Women look much more than men to lose weight and men look more than women to rehabilitation. (4) Conclusions: The user profile is a physically active woman, aged 35–49 years, with normal weight and high educational level, who carries out twice weekly full body electrostimulation training with the goals of weight loss, health and/or wellness and muscle mass gain.

1. Introduction

Whole Body Electrostimulation (WB-EMS) is a novel, attractive and time efficient training method for physical fitness and rehabilitation [1] which started to be popular in Europe in the last decade and is now present all over the world [2]. The method consists of applying electrical myostimulation throughout the human body, activating up to 8–10 different muscles groups (e.g., quadriceps, hamstrings, glutes, dorsal, chest, abdominal, biceps and triceps), while physical exercises are performed. This combination of voluntary contraction superimposed with the involuntary muscle contraction (the electrical stimulation) should provoke a potential additional gain in the physiologic effects leading to improvements of muscular power, strength or endurance in case of regular application [3].
The WB-EMS has been touted as a more attractive but also more expensive alternative to conventional exercise. In recent years, the use of technology has been a trend in world of fitness, being at the top of user preferences according the American College of Sports Medicine [4,5,6,7].
The investigation in the WB-EMS field was increasing last years with interventions performed with different types of populations. A meta-analysis composed by five controlled trials with low back pain people observed significant improvements in pain intensity in the WB-EMS group training [8]. A mini-meta-analysis of five randomized controlled trial concluded that WB-EMS is a feasible complementary training stimulus for performance enhancement [9]. A systematic review performed with twenty-three articles found that WB-EMS groups significantly improves muscle mass and function while reducing fat mass and low back pain [1]. Some studies demonstrate the effects of the WB-EMS training on special populations such as sarcopenic obesity [10], cardiac [11], post-menopause, elderly [12,13,14] or cancer [15,16,17,18,19], while other studies show effects on healthy populations [20,21,22] and even on athletes [9,23,24,25,26]. Gender has also been the subject of studies, with some scientific works carried out investigated effects only in woman [27,28] others only in men [29].
The frequency of weekly use also does not meet consensus among the scientific community. There are studies conducted with 1 weekly session [30,31,32], 1.5 (3 session in two weeks) [12,33] and 2 times a week sessions [34,35]. The positive effects demonstrated by WB-EMS range from rehabilitation and pain relief [26,36,37], change in body composition [21,38,39,40], increase in muscle mass [41,42], strength [22,25,43] and endurance [44,45,46].
In the last decade there has been a large increase in the number of brands and equipment manufacturers, as well as in the number of professionals and training studios specialized in this training method. Hence, it becomes important to know the profile of people looking for this type of training to improve the effectiveness of the intervention [47] and develop programs that are in accordance with the motivation of practitioners, to develop actions to attract profiles with low use and to know the changes that may occur in users over time. It is known that socio-demographic and motivational aspects are related not only to the beginning of a certain physical activity but also to its abandonment, being crucial to study adherence [48].
Some studies have documented a relationship between motivation and sociodemographic variables, namely gender and age [49,50]. Younger people seem to have as motivation issues more related to enjoyment and aesthetic related to body composition [51,52], while health and well-being appear as the main factor for the practice of physical exercise as age increases [53,54,55]. The same authors also found relation in the gender, men are more concerned with enjoying and socializing while women are more concerned with appearance and health [53,55]. The variable level of study has also been related to the practice of physical activity, as the level of study increases, the practice of physical exercise is also greater [55,56].
By our knowledge there is no study describing the socio-demographic profile and motivation of the users of WB-EMS. Therefore, the aim of this study is to determine the profile of the users who seek this type of training method and make it a routine in their daily lives. In this study we center ourselves in the characteristics that define the personal, social and sports profile of the users: body mass index, group age, marital status, level of studies, training frequency and motivation (goals).

2. Materials and Methods

2.1. Study Design

The study was conducted as a cross sectional descriptive study. It has been established profiles of the Whole Body Electromyostimulation training users.

2.2. Participants

In all, 270 WB-EMS users from 5 different countries participated in this study; the 5 countries were chosen for convenience and ease of getting answers from the users. The questionnaire in digital format (QR code) was sent to the studios that agreed to participate. The manager of each studio sent the questionnaire and asked all clients to participate in the study. The inclusion criteria were being over 18 years old and having practiced WB-EMS for at least 1 month. All subjects participated voluntarily and provided written informed consent for inclusion in the study. The study was conducted in accordance with the Declaration of Helsinki, and approved by Ethics Committee of University of Extremadura, register number 157/2021 on 29 September 2021.

2.3. Questionnaire

The questionnaire consisting of 14 direct answer questions on personal and sociodemographic data [52]: gender, weight, height, marital status, level of study, training goals, training frequency and habits and place. It was anonymous and confidential and was designed for online collection of data.
From weight and height, the BMI variable is created, with the formula: kg/m2. From this, the BMI Group categorical variable was created, making the following groups: Underweight (≤18.5), Normal (between 18.5 to 24.99), Overweight (between 25 to 30) and Obese ≥ 30. From the age onwards, the Age Group variable was created: 18–34, 35–49, 50–64 and ≥65. The Academic studies variable was created, grouping in “university” (degree’s, master’s or doctoral) and “no university” (not have attended university).

2.4. Procedure

Participants were asked to complete a questionnaire before or after the training session. People from five different countries (Portugal, Brazil, Hungary, Belgium and Indonesia) participated in this study, Portugal and Brazil answered a Portuguese version and the other three countries answered an international version in English. The questionnaire was made available online via QR code at the entrance of the studios or sent a link via phone message with prior authorization. Participants asked on their own device (smartphone or tablet) alone. The average time taken to answer the questionnaire was 10 min.

2.5. Statistical Analysis

The normality of the data was tested by Kolmogorov–Smirnov test. Continuous variables were presented as median and interquartile range. Categorical variables were presented as absolute and relative frequencies. Differences between sexes and between groups were analyzed by means of non-parametric statistical tests: Mann–Whitney U-test (continuous variables). In addition to studying possible dependence relationships and differences between proportions, using the Chi-square statistic with pairwise z-test using the Bonferroni correction (categorical variables). All analyses were performed using a level of significance <0.05. IBM SPSS (V.22, IBM Corporation, New York, NY, USA) was the statistical software used.

3. Results

The result of the Kolmogorov–Smirnov test did not show evidence to assume normality in any of the variables studied.
The descriptive statistics generated by the total of the sample (Table 1) revealed that the profile of the WB-EMS user is a middle-aged woman (35–49), with normal weight, active (59% do another type of physical activity apart from WB-EMS training) with university studies, who seeks one of the following three goals: weight loss, increasing muscle mass or improving health and wellness. On the other hand, we can also profile the male user, it is a little younger (33% vs. 27.6% between 18–34 years), also with university studies (85%) and more active than women’s (76.2% vs. 59.8% p < 0.05 from pairwise z-test). About the goals, they look more for muscle mass increase (p < 0.05 from pairwise z-test) and health.
In the Table 2 we can see the relation between the socio-demographic and the training goal variables. We did not find significant differences between any variable. However, we managed to establish a relationship of dependence between objective and age.
In comparison with the weekly training frequency (Table 3), there are no significant differences with any of the socio-demographic variables studied. Neither is there any dependency relationship with any variable and frequency. With more knowledge about the profile users, we can better adapt communication and training programs to improve retention and acquisition of new practitioners and adapt the market to the users’ needs.
Looking to the charts below (Figure 1), we can observe that, regardless of gender, the vast majority of these users do another type of physical activity (64.1%) with significant difference between men and woman (p < 0.05 from pairwise z-test). Regarding the academic level we can see (Figure 2) that we can see that 8 out of 10 users have higher education level (at least a degree) there are no significant differences between the genders.
Regarding the motivation to practice (training goals), weight loss, health and wellness and increase in muscle mass are the main reasons for practice respectively. In the comparison between genders, there are significant differences in weight loss and rehabilitation (p < 0.05 from pairwise z-test). Women look much more than men to lose weight and men look more than women to rehabilitation with WB-EMS (Figure 3).

4. Discussion

The result showed that those looking for this type of training more are middle-aged women. The greater demand for Personal Trainer services by women may be related to a cause of safety and guarantee of better results [57]. The Whole Body Electromyostimulation training is advertised by brands as very effective in weight loss and body remodeling may also be a reason why it is more sought after by women, as several studies point out that improving appearance, controlling weight, socializing and self-esteem are among the main reasons for physical activity [58,59,60]. On the other hand, the little external load (weights) needed in WB-EMS training may be a possible reason for less demand by men, since weight training (bodybuilding) and muscle mass increase be a more common goal in men.
The dependence between objective and age is in agreement with other studies found, older people seek health and well-being [61,62,63,64,65] and younger people seek changes in body composition (losing weight or gaining muscle mass), image improvement and social recognition [66,67,68]. In this study we can observe that in the first age groups (18 to 49 years old), more than 50% of users seek WB-EMS training to change their body composition (lose weight or increase muscle mass) while in the older age groups (over 50 years old) there is a tendency (more than 50%) to be motivated by health or rehabilitation. About effectiveness of this training method according to the objectives sought by both younger and older people, a systematic review and meta-analysis performed with 16 studies demonstrated the effectiveness of WB-EMS training in change body composition [40] as well as other randomized controlled trail studies have shown that WB-EMS can be an alternative to fight old age diseases such as sarcopenia and osteoporosis [13,14].
The relationships between socio-demographic variables and training goals results indicate that people who are overweight or obese (BMI > 25) seek to lose weight. We have the case of only 1 person with a low BMI who referred to aim to lose weight, this case may be associated with some pathology related to image distortion. Users with a normal BMI are mainly looking to increase muscle (41.9%) mass and improve health and wellness (36.5%). The civil status and lever of studies, and whether or not to do any other physical activity seems to have nothing to do with training goals.
Regarding the number of sessions per week, we did not find a relationship with the type of objective, but we can mention that the majority (53%) do two session a week. Overweight users are the ones with the highest percentage who also do two session per week (75%). Divorced and widowed mostly do only one session a week (53.6%) while married and single people mostly do two weekly sessions.
We observed that most WB-EMS users (64%) do another activity in addition to training with electrostimulation, which contrasts a little with the reputation that this method has gained as a type of physical activity for those who do not like to train.
Although there are some studies relating the level of studies with the practice of physical activity that report that people with a higher level of education give more importance [69] to and do more physical activity than people with a lower level of education [56] we did not found any difference between the WB-EMS users. We can observe that the vast majority of users have university studies, which can be explained by the price of the sessions. A possible explanation for this observation may be that people with higher education with a higher socio-economic level will have more access and can afford this type of training.
Weight loss, health and well-being and increase muscle mass, in that order, were the main goals pointed out by WB-EMS users of this method, which is not new and is in line with the results of some studies that point to being fit and healthy as the main reasons for physical exercise [70,71].
From a practical point of view, this study helps us to understand WB-EMS users in order to better adapt communication and training programs to improve retention and acquisition of new practitioners. This type of studies has been important to know the different profiles and to adapt the market to the users’ needs [50,72]. Further than that nowadays, where the numbers of sedentary lifestyle and the consequent deaths that could be avoided with more exercise [73,74], it is essential to understand the profile and motivations of those who practice to promote more effective programs.
As for the limitations of this study, we have to point out that due to the fact that we have a small and convenient sample, we cannot say that the sample is representative. We collected data from five different countries, with different cultures that may have an influence on the profile traced. The data collection, when conducted through an online questionnaire, may have made it difficult for older people to participate. More studies will be needed with larger sample to better be able to trace the user profile and study its relationship with socio-demographic variables. We suggest further studies about the barriers and benefits of training with electrostimulation as well as to study the main reason why users choose to do this methodology to the detriment of others.

5. Conclusions

The results of this pilot study indicate that in these five countries the most common user profile is a physically active woman, aged 35–49 years, with normal weight and high educational level, who carries out twice weekly full body electrostimulation training with the goals of: weight loss, health and/or wellness and muscle mass gain.
Training goals are related to gender, age group and BMI condition. Weight loss is the main goal for young adults, women and people who are overweight or obese. Gaining muscle mass is the main goal among young people. Health is the main objective for men and especially for older adults.
With the accomplishment of this pilot study, we also concluded that it is necessary to carry out more research in this area, with a larger and representative sample, to confirm the evidence found in this study and obtain conclusions that may be representative. It is necessary to go further along this line of investigation, since there is a lack of knowledge about the profiles of the users who train in whole body electrostimulation centers, as well as the motivations that lead them to use this kind of training.

Author Contributions

Conceptualization, L.R.-S., H.L. and J.C.A.; Data curation, L.R.-S. and Á.D.-Z.; Formal analysis, L.R.-S., Á.D.-Z. and J.C.A.; Funding acquisition, A.V.-M. and N.C.-B.; Methodology, L.R.-S., Á.D.-Z., A.V.-M., N.C.-B. and J.C.A.; Software, L.R.-S.; Supervision, H.L. and J.C.A.; Writing—original draft, L.R.-S.; Writing—review & editing, L.R.-S., H.L., A.V.-M., N.C.-B. and J.C.A. All authors have read and agreed to the published version of the manuscript.

Funding

The article processing charge (APC) was partially funded by Universidad Andres Bello (Code: APC2022). Additionally, the publication fee (APC) was partially financed by the Universidad Autónoma de Chile, through the publication incentive fund 2022. (Code: C.C. 456001). This article was partially funded by Junta de Extremadura (Code: 2021/00461/001) supported by European Social Fund. The present publication was funded by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020). The English proofreading was funded by project UIDB/04045/2020.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by Ethics Committee of University of Extremadura (Number 157/2021 on 29 September 2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The present work was performed in (partial) fulfillment of the requirements for obtaining the PHD degree of University of Extremadura. We would like to acknowledge the time and effort of all the participants involved in this investigation. The author Á.D.-Z. (FPU20/04201) was supported by a grant from the Spanish Ministry of Education, Culture, and Sport. Grants FPU20/04201 funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “European Social Found Investing in your future” or by “European Union Next Generation EU/PRTR”.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kemmler, W.; Weissenfels, A.; Willert, S.; Shojaa, M.; von Stengel, S.; Filipovic, A.; Kleinoeder, H.; Berger, J.; Froehlich, M. Efficacy and Safety of Low Frequency Whole-Body Electromyostimulation (WB-EMS) to Improve Health-Related Outcomes in Non-athletic Adults. A Systematic Review. Front. Physiol. 2018, 9, 573. [Google Scholar] [CrossRef] [PubMed]
  2. Pano-Rodriguez, A.; Beltran-Garrido, J.V.; Hernandez-Gonzalez, V.; Reverter-Masia, J. Effects of whole-body Electromyostimulation on health and performance: A systematic review. BMC Complement. Altern. Med. 2019, 19, 87. [Google Scholar] [CrossRef] [PubMed]
  3. Paillard, T. Training Based on Electrical Stimulation Superimposed Onto Voluntary Contraction Would be Relevant Only as Part of Submaximal Contractions in Healthy Subjects. Front. Physiol. 2018, 9, 1428. [Google Scholar] [CrossRef] [PubMed]
  4. Thompson, W.R. Worldwide Survey of Fitness Trends for 2021. Acsms Health Fit. J. 2021, 25, 10–19. [Google Scholar] [CrossRef]
  5. Thompson, W.R. Worldwide survey of fitness trends for 2018: The CREP Edition. ACSM’s Health Fit. J. 2017, 21, 10–19. [Google Scholar] [CrossRef]
  6. Thompson, W.R. Worldwide survey of fitness trends for 2019. ACSM’s Health Fit. J. 2018, 22, 10–17. [Google Scholar] [CrossRef]
  7. Thompson, W.R. Worldwide Survey of Fitness Trends for 2022. ACSM’s Health Fit. J. 2022, 26, 11–20. [Google Scholar] [CrossRef]
  8. Kemmler, W.; Weissenfels, A.; Bebenek, M.; Froehlich, M.; Kleinoeder, H.; Kohl, M.; von Stengel, S. Effects of Whole-Body Electromyostimulation on Low Back Pain in People with Chronic Unspecific Dorsal Pain: A Meta-Analysis of Individual Patient Data from Randomized Controlled WB-EMS Trials. Evid. Based Complement. Altern. Med. 2017, 2017, 8480429. [Google Scholar] [CrossRef]
  9. Wirtz, N.; Doermann, U.; Micke, F.; Filipovic, A.; Kleinoeder, H.; Donath, L. Effects of Whole-Body Electromyostimulation on Strength-, Sprint-, and Jump Performance in Moderately Trained Young Adults: A Mini-Meta-Analysis of Five Homogenous RCTs of Our Work Group. Front. Physiol. 2019, 10, 1336. [Google Scholar] [CrossRef]
  10. Kemmler, W.; von Stengel, S.; Teschler, M.; Weissenfels, A.; Bebenek, M.; Kohl, M.; Freiberger, E.; Bollheimer, C.; Goisser, S.; Sieber, C.; et al. Whole-body Electromyostimulation and Sarcopenic Obesity Results of the randomized controlled FORMOsA—Sarcopenic Obesity Study. Osteologie 2016, 25, 204–211. [Google Scholar]
  11. Fritzsche, D.; Fruend, A.; Schenk, S.; Mellwig, K.P.; Kleinoder, H.; Gummert, J.; Horstkotte, D. Electromyostimulation (EMS) in Cardiac Patients. Will EMS Training Be Helpful in Secondary Prevention? Herz 2010, 35, 34–40. [Google Scholar] [CrossRef] [PubMed]
  12. Kemmler, W.; Bebenek, M.; Engelke, K.; von Stengel, S. Impact of whole-body electromyostimulation on body composition in elderly women at risk for sarcopenia: The Training and ElectroStimulation Trial (TEST-III). Age 2014, 36, 395–406. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Kemmler, W.; Bebenek, M.; von Stengel, S. Effects of Whole-Body-Electromyostimulation on Bone Mineral Density in lean, sedentary elderly women with osteopenia The randomized controlled TEST-III Study. Osteologie 2013, 22, 121–128. [Google Scholar]
  14. von Stengel, S.; Bebenek, M.; Engelke, K.; Kemmler, W. Whole-Body Electromyostimulation to Fight Osteopenia in Elderly Females: The Randomized Controlled Training and Electrostimulation Trial (TEST-III). J. Osteoporos. 2015, 2015, 643520. [Google Scholar] [CrossRef] [Green Version]
  15. Schink, K.; Gassner, H.; Reljic, D.; Herrmann, H.J.; Kemmler, W.; Schwappacher, R.; Meyer, J.; Eskofier, B.M.; Winkler, J.; Neurath, M.F.; et al. Assessment of gait parameters and physical function in patients with advanced cancer participating in a 12-week exercise and nutrition programme: A controlled clinical trial. Eur. J. Cancer Care 2020, 29, e13199. [Google Scholar] [CrossRef]
  16. Fisher, A.; Wardle, J.; Beeken, R.J.; Croker, H.; Williams, K.; Grimmett, C. Perceived barriers and benefits to physical activity in colorectal cancer patients. Support. Care Cancer 2016, 24, 903–910. [Google Scholar] [CrossRef] [Green Version]
  17. Schwappacher, R.; Schink, K.; Sologub, S.; Dieterich, W.; Reljic, D.; Friedrich, O.; Herrmann, H.J.; Neurath, M.F.; Zopf, Y. Physical activity and advanced cancer: Evidence of exercise-sensitive genes regulating prostate cancer cell proliferation and apoptosis. J. Physiol. Lond. 2020, 598, 3871–3889. [Google Scholar] [CrossRef]
  18. Niels, T.; Kersten, J.; Tomanek, A.; Baumann, F. Pilot Case-Series: Can Short-Term WB-EMS be Effective in Cancer Patients? Oncol. Res. Treat. 2020, 43, 245. [Google Scholar]
  19. Schink, K.; Herrmann, H.J.; Schwappacher, R.; Orlemann, T.; Meyer, J.; Waldmann, E.; Wullich, B.; Kahlmeyer, A.; Fietkau, R.; Lubgan, D.; et al. Whole-Body Electromyostimulation combined with personalized Nutritional Support improves the Body Composition of Patients with advanced Cancer. Internist 2018, 59, S67. [Google Scholar]
  20. Amaro-Gahete, F.J.; De-la-O, A.; Jurado-Fasoli, L.; Dote-Montero, M.; Gutierrez, A.; Ruiz, J.R.; Castillo, M.J. Changes in Physical Fitness After 12 Weeks of Structured Concurrent Exercise Training, High Intensity Interval Training, or Whole-Body Electromyostimulation Training in Sedentary Middle-Aged Adults: A Randomized Controlled Trial. Front. Physiol. 2019, 10, 451. [Google Scholar] [CrossRef]
  21. Michell, V.; Samaria, C.; Junior Rudy, N.; Danyela, V.; Dantas, E. Effects of a concurrent physical exercise program on aerobic power and body composition in adults. J. Sports Med. Phys. Fit. 2014, 54, 441–446. [Google Scholar]
  22. Doermann, U.; Wirtz, N.; Micke, F.; Morat, M.; Kleinoeder, H.; Donath, L. The Effects of Superimposed Whole-Body Electromyostimulation During Short-Term Strength Training on Physical Fitness in Physically Active Females: A Randomized Controlled Trial. Front. Physiol. 2019, 10, 728. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Filipovic, A.; Kleinoder, H.; Dormann, U.; Mester, J. Electromyostimulation-a systematic review of the effects of different electromyostimulation methods on selected strength parameters in trained and elite athletes. J. Strength Cond. Res. 2012, 26, 2600–2614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Filipovic, A.; Kleinoder, H.; Dormann, U.; Mester, J. Electromyostimulation-a systematic review of the influence of training regimens and stimulation parameters on effectiveness in electromyostimulation training of selected strength parameters. J. Strength Cond. Res. 2011, 25, 3218–3238. [Google Scholar] [CrossRef] [Green Version]
  25. Hussain, R.N.J.R.; Shari, M. Effects of Resistance Training and Whole-Body Electromyostimulation on Muscular Strength in Female Collegiate Softball Players. Pertanika J. Soc. Sci. Humanit. 2021, 29, 1939–1955. [Google Scholar] [CrossRef]
  26. Berger, J.; Ludwig, O.; Becker, S.; Kemmler, W.; Froehlich, M. Effects of an 8-Week Whole-Body Electromyostimulation Training on Cycling Performance, Back Pain, and Posture of a 17-Year-Old Road Cyclist. Int. J. Athl. Ther. Train. 2021, 26, 96–100. [Google Scholar] [CrossRef]
  27. Kemmler, W.; Schliffka, R.; Mayhew, J.L.; von Stengel, S. Effects of whole-body electromyostimulation on resting metabolic rate, body composition, and maximum strength in postmenopausal women: The training and electrostimulation trial. J. Strength Cond. Res. 2010, 24, 1880–1887. [Google Scholar] [CrossRef]
  28. Park, H.-K.; Na, S.M.; Choi, S.-L.; Seon, J.-K.; Do, W.-H. Physiological Effect of Exercise Training with Whole Body Electric Muscle Stimulation Suit on Strength and Balance in Young Women: A Randomized Controlled Trial. Chonnam Med. J. 2021, 57, 76–86. [Google Scholar] [CrossRef]
  29. Kemmler, W.; Birlauf, A.; von Stengel, S. Effects of Whole-Body-Electromyostimulation on Body Composition and Cardiac Risk Factors in Elderly Men with the Metabolic Syndrome. The TEST-II Study. Dtsch. Z. Fur Sportmed. 2010, 61, 117–123. [Google Scholar]
  30. Ludwig, O.; Berger, J.; Schuh, T.; Backfisch, M.; Becker, S.; Froehlich, M. Can A Superimposed Whole-Body Electromyostimulation Intervention Enhance the Effects of a 10-Week Athletic Strength Training in Youth Elite Soccer Players? J. Sports Sci. Med. 2020, 19, 535–546. [Google Scholar]
  31. Fiorilli, G.; Quinzi, F.; Buonsenso, A.; Casazza, G.; Manni, L.; Parisi, A.; Di Costanzo, A.; Calcagno, G.; Soligo, M.; di Cagno, A. A Single Session of Whole-Body Electromyostimulation Increases Muscle Strength, Endurance and proNGF in Early Parkinson Patients. Int. J. Environ. Res. Public Health 2021, 18, 5499. [Google Scholar] [CrossRef] [PubMed]
  32. Weissenfels, A.; Wirtz, N.; Doermann, U.; Kleinoeder, H.; Donath, L.; Kohl, M.; Froehlich, M.; von Stengel, S.; Kemmler, W. Comparison of Whole-Body Electromyostimulation versus Recognized Back-Strengthening Exercise Training on Chronic Nonspecific Low Back Pain: A Randomized Controlled Study. Biomed Res. Int. 2019, 2019, 5745409. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Berger, J.; Ludwig, O.; Becker, S.; Backfisch, M.; Kemmler, W.; Froehlich, M. Effects of an Impulse Frequency Dependent 10-Week Whole-body Electromyostimulation Training Program on Specific Sport Performance Parameters. J. Sports Sci. Med. 2020, 19, 271–281. [Google Scholar] [PubMed]
  34. Micke, F.; Kleinoeder, H.; Doermann, U.; Wirtz, N.; Donath, L. Effects of an Eight-Week Superimposed Submaximal Dynamic Whole-Body Electromyostimulation Training on Strength and Power Parameters of the Leg Muscles: A Randomized Controlled Intervention Study. Front. Physiol. 2018, 9, 1719. [Google Scholar] [CrossRef] [Green Version]
  35. Amaro-Gahete, F.J.; De-la-O, A.; Jurado-Fasoli, L.; Sanchez-Delgado, G.; Ruiz, J.R.; Castillo, M.J. Metabolic rate in sedentary adults, following different exercise training interventions: The FIT-AGEING randomized controlled trial. Clin. Nutr. 2020, 39, 3230–3240. [Google Scholar] [CrossRef]
  36. Konrad, K.L.; Baeyens, J.-P.; Birkenmaier, C.; Ranker, A.H.; Widmann, J.; Leukert, J.; Wenisch, L.; Kraft, E.; Jansson, V.; Wegener, B. The effects of whole-body electromyostimulation (WB-EMS) in comparison to a multimodal treatment concept in patients with non-specific chronic back pain-A prospective clinical intervention study. PLoS ONE 2020, 15, e0236780. [Google Scholar] [CrossRef]
  37. Weissenfels, A.; Teschler, M.; Von Stengel, S.; Kohl, M.; Kemmler, W. Effects of whole-body-electromyostimulation on low back pain—A review of the evidence. Dtsch. Z. Fur Sportmed. 2017, 68, 295–299. [Google Scholar] [CrossRef]
  38. Jee, Y.-S. The effect of high-impulse-electromyostimulation on adipokine profiles, body composition and strength: A pilot study. Isokinet. Exerc. Sci. 2019, 27, 163–176. [Google Scholar] [CrossRef] [Green Version]
  39. Amaro-Gahete, F.J.; De-la-O, A.; Jurado-Fasoli, L.; Ruiz, J.R.; Castillo, M.J.; Gutierrez, A. Effects of different exercise training programs on body composition: A randomized control trial. Scand. J. Med. Sci. Sports 2019, 29, 968–979. [Google Scholar] [CrossRef]
  40. Kemmler, W.; Shojaa, M.; Steele, J.; Berger, J.; Frohlich, M.; Schoene, D.; von Stengel, S.; Kleinoder, H.; Kohl, M. Efficacy of Whole-Body Electromyostimulation (WB-EMS) on Body Composition and Muscle Strength in Non-athletic Adults. A Systematic Review and Meta-Analysis. Front. Physiol. 2021, 12, 95. [Google Scholar] [CrossRef]
  41. Evangelista, A.L.; Teixeira, C.V.L.; Barros, B.M.; de Azevedo, J.B.; Paunksnis, M.R.R.; de Souza, C.R.; Wadhi, T.; Rica, R.L.; Braz, T.V.; Bocalini, D.S. Does whole-body electrical muscle stimulation combined with strength training promote morphofunctional alterations? Clinics 2019, 74, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Park, S.J.; Seung-Chul, C. Effects of Whole Body Electromyostimulation on Muscle Activity and Muscle Thickness of Rectus Femoris, and Muscle Thickness of Abdominis Muscle in Healthy Adults. Phys. Ther. Korea 2019, 26, 42–52. [Google Scholar]
  43. Filipovic, A.; Grau, M.; Kleinöder, H.; Zimmer, P.; Hollmann, W.; Bloch, W. Effects of a whole-body electrostimulation program on strength, sprinting, jumping, and kicking capacity in elite soccer players. J. Sports Sci. Med. 2016, 15, 639–648. [Google Scholar] [PubMed]
  44. Watanabe, K.; Yoshida, T.; Ishikawa, T.; Kawade, S.; Moritani, T. Effect of the Combination of Whole-Body Neuromuscular Electrical Stimulation and Voluntary Exercise on Metabolic Responses in Human. Front. Physiol. 2019, 10, 291. [Google Scholar] [CrossRef]
  45. Filipovic, A.; Kleinöder, H.; Plück, D.; Hollmann, W.; Bloch, W.; Grau, M. Influence of whole-body electrostimulation on human red blood cell deformability. J. Strength Cond. Res. 2015, 29, 2570–2578. [Google Scholar] [CrossRef] [Green Version]
  46. Verch, R.; Stoll, J.; Hadzic, M.; Quarmby, A.; Voeller, H. Whole-Body EMS Superimposed Walking and Nordic Walking on a Treadmill-Determination of Exercise Intensity to Conventional Exercise. Front. Physiol. 2021, 12, 1405. [Google Scholar] [CrossRef]
  47. Rhodes, R.E.; de Bruijn, G.-J.; Mark, R. Automatic and Motivational Correlates of Physical Activity: Does Intensity Moderate the Relationship? J. Sport Exerc. Psychol. 2010, 32, S212–S213. [Google Scholar] [CrossRef]
  48. Deci, E.L.; Ryan, R.M. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychol. Inq. 2000, 11, 227–268. [Google Scholar] [CrossRef]
  49. Ruiz Juan, F.; García Montes, M.E.; Díaz Suárez, A. Análisis de las motivaciones de práctica de actividad física y de abandono deportivo en la Ciudad de La Habana (Cuba). An. De Psicol. 2007, 23, 152–166. [Google Scholar]
  50. Nuviala Nuviala, A.; Gomez-Lopez, M.; Grao-Cruces, A.; Granero-Gallegos, A.; Nuviala Nuviala, R. Motivational Profiles of Users of Private and Public Sport Services. Univ. Psychol. 2013, 12, 421–431. [Google Scholar] [CrossRef] [Green Version]
  51. Castillo, I.; Balaguer, I.; Duda, J.L. Las orientaciones de meta y los motivos de práctica deportiva en los jóvenes deportistas valencianos escolarizados. Rev. Psicol. Deporte 2000, 9, 37–50. [Google Scholar]
  52. García, M. Encuesta Sobre los Hábitos Deportivos en España 2010; Consejo Superior de Deportes: Madrid, Spain, 2010. [Google Scholar]
  53. Hellín, P.; Moreno, J.A.; Rodríguez, P.L. Motivos de Práctica Físico-Deportiva en la Región de Murcia; Universidad de Murcia: Murcia, Spain, 2004; Volume 4, pp. 101–116. [Google Scholar]
  54. Sit, C.H.P.; Kerr, J.H.; Wong, I.T.F. Motives for and barriers to physical activity participation in middle-aged Chinese women. Psychol. Sport Exerc. 2008, 9, 266–283. [Google Scholar] [CrossRef]
  55. Otero, J.M. Hábitos y Actitudes de la Población Andaluza Ante el Deporte 2007; Observatorio del Deporte Andaluz: Málaga, Spain, 2009. [Google Scholar]
  56. Breuer, C.; Hallmann, K.; Wicker, P.; Feiler, S. Socio-economic patterns of sport demand and ageing. Eur. Rev. Aging Phys. Act. 2010, 7, 61–70. [Google Scholar] [CrossRef] [Green Version]
  57. Rodrigues, A.L.D.; Brandao, D.C. Motivational factors that lead women between the ages of 18 and 30 in the search for and adherence to training with personnel trainer in an academy in the city of fortaleza-ce. Rbne-Rev. Bras. De Nutr. Esportiva 2017, 11, 168–175. [Google Scholar]
  58. Walter, J.; Gob, R.; Heyer, T.; Hagemann, N. Motives for exercising in a university context: What role do gender, age, BMI and fitness play? Beweg. Und Gesundh. 2021, 37, 9–16. [Google Scholar] [CrossRef]
  59. Fuhrmann, M.M. Factors motivating participation in physical activity in students of warsaw univeristy by gender. Health Probl. Civiliz. 2018, 12, 272–277. [Google Scholar] [CrossRef]
  60. Prichard, I.; Tiggemann, M. Relations among exercise type, self-objectification, and body image in the fitness centre environment: The role of reasons for exercise. Psychol. Sport Exerc. 2008, 9, 855–866. [Google Scholar] [CrossRef]
  61. Sabin, K.L. Older adults and motivation for therapy and exercise—Issues, influences, and interventions. Top. Geriatr. Rehabil. 2005, 21, 215–220. [Google Scholar] [CrossRef]
  62. Jones, S.A.; Alicea, S.K.; Ortega, J.D. A Self-Determination Theory Approach for Exercise Motivation in Rural Dwelling Older Adults. Act. Adapt. Aging 2020, 44, 24–41. [Google Scholar] [CrossRef]
  63. Hardy, S.; Grogan, S. Preventing Disability through Exercise Investigating Older Adults’ Influences and Motivations to Engage in Physical Activity. J. Health Psychol. 2009, 14, 1036–1046. [Google Scholar] [CrossRef]
  64. Dacey, M.; Baltzell, A.; Zaichkowsky, L. Older Adults’ Intrinsic and Extrinsic Motivation Toward Physical Activity. Am. J. Health Behav. 2008, 32, 570–582. [Google Scholar] [CrossRef] [PubMed]
  65. Cancela, J.M.; Pereira, K.; Mollinedo, I.; Ferreira, M.; Bezerra, P. Reasons Why Older Adults Engage in Physical Exercise. Comparative Study Eastern Europe Versus Southern Europe. J. Aging Phys. Act. 2021, 29, 43–50. [Google Scholar] [CrossRef] [PubMed]
  66. Conde-Pipo, J.; Melguizo-Ibanez, E.; Mariscal-Arcas, M.; Zurita-Ortega, F.; Luis Ubago-Jimenez, J.; Ramirez-Granizo, I.; Gonzalez-Valero, G. Physical Self-Concept Changes in Adults and Older Adults: Influence of Emotional Intelligence, Intrinsic Motivation and Sports Habits. Int. J. Environ. Res. Public Health 2021, 18, 1711. [Google Scholar] [CrossRef] [PubMed]
  67. Moreno-Murcia, J.A.; Borges Silva, F.; Marcos Pardo, P.J.; Sierra Rodriguez, A.C.; Huescar Hernandez, E. Motivation, frequency and activity type in physical exercise participants. Rev. Int. De Med. Y Cienc. De La Act. Fis. Y Del Deporte 2012, 12, 649–662. [Google Scholar]
  68. Azofeifa Mora, C.A. Comparison between motivations to practice physical activity by gender and time of practicing the activity in a group of students. Mhsalud-Rev. En Cienc. Del Mov. Hum. Y La Salud 2018, 14, 1–11. [Google Scholar] [CrossRef] [Green Version]
  69. Salguero, A.; Gonzalez-Boto, R.; Marquez, S. Motives for participation in physical activity by Brazilian adults. Percept. Mot. Ski. 2006, 102, 358–367. [Google Scholar] [CrossRef]
  70. Skov-Ettrup, L.S.; Petersen, C.B.; Curtis, T.; Lykke, M.; Christensen, A.I.; Tolstrup, J.S. Why do people exercise? A cross-sectional study of motives to exercise among Danish adults. Public Health 2014, 128, 482–484. [Google Scholar] [CrossRef]
  71. Zunft, H.J.F.; Friebe, D.; Seppelt, B.; Widhalm, K.; de Winter, A.M.R.; de Almeida, M.D.V.; Kearney, J.M.; Gibney, M. Perceived benefits and barriers to physical activity in a nationally representative sample in the European Union. Public Health Nutr. 1999, 2, 153–160. [Google Scholar] [CrossRef] [Green Version]
  72. Bednarik, J. Segmentation of Sports Consumers in Slovenia; Rajko Šugman, J.U.A.M.K., Ed.; Kinesiology: Zabreb, Croatia, 2007; pp. 74–84. [Google Scholar]
  73. Warren, T.Y.; Barry, V.; Hooker, S.P.; Sui, X.M.; Church, T.S.; Blair, S.N. Sedentary Behaviors Increase Risk of Cardiovascular Disease Mortality in Men. Med. Sci. Sports Exerc. 2010, 42, 879–885. [Google Scholar] [CrossRef] [Green Version]
  74. Taylor, H.L.; Blackburn, H.; Puchner, T.; Klepetar, E.; Keys, A.; Parlin, W. Death rates among physically active and sedentary employees of railroad industry. Am. J. Public Health Nations Health 1962, 52, 1697–1707. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Percentage of users who do or do not practice another activity besides WB-EMS training. (A) All samples; (B) women’s group; (C) men’s group.
Figure 1. Percentage of users who do or do not practice another activity besides WB-EMS training. (A) All samples; (B) women’s group; (C) men’s group.
Ijerph 19 04711 g001
Figure 2. Academic level of WB-EMS users. (A) All samples; (B) women’s group; (C) men’s group.
Figure 2. Academic level of WB-EMS users. (A) All samples; (B) women’s group; (C) men’s group.
Ijerph 19 04711 g002
Figure 3. Training goals by gender.
Figure 3. Training goals by gender.
Ijerph 19 04711 g003
Table 1. Descriptive analysis and comparation between sex.
Table 1. Descriptive analysis and comparation between sex.
VariablesOverall = 270
Mdn (IQR)
Women = 199
Mdn (IQR)
Men = 71
Mdn (IQR)
p
Age (Years)39 (16)39 (13)39 (20)0.487
Weight (kg)68.0 (17.5)64.0 (14.0)80.0 (16.0)<0.001
Height (m)1.73 (0.13)1.64 (0.09)1.76 (0.09)<0.001
BMI (kg/m2)24.5 (4.5)23.8 (4.8)25.9 (5.0)<0.001
Experience (months)6 (12)6 (12)6 (15)0.580
Age groupsOverall n (%)Women n (%)Men n (%)p *
18–34 years79 (29.3)55 (27.6)24 (33.8)<0.37
35–49 years127 (47.0)101 (50.8)26 (36.6) *
50–64 years56 (20.7)40 (20.1)16 (22.5)
65+ years8 (3.0)3 (1.5)5 (7.0) *
BMI groupsOverall n(%)Women n (%)Men n (%)p *
Underweight4 (1.5)4 (2.0)0 (0.0)<0.006
Normal148 (55.0)120 (60.6)28 (39.4) *
Overweight90 (33.5)56 (28.3)34 (47.9) *
Obese27 (10.0)18 (9.1)9 (12.7)
Civil statusOverall n (%)Women n (%)Men n (%)p *
Singles108 (40.0)77 (38.7)31 (43.7)0.139
Married134 (49.6)97 (48.7)37 (52.1)
Divorced/Widowers28 (10.4)25 (12.6)3 (4.2) *
Level of studiesOverall n (%)Women n (%)Men n (%)p *
No university32 (11.9)22 (11.1)10 (14.1)0.498
University238 (88.1)177 (88.9)61 (85.9)
Training goalsOverall n (%)Women n (%)Men n (%)p *
Weightloss92 (34.1)76 (38.2)16 (22.5) *<0.002
Increase muscle mass80 (29.6)58 (29.1)22 (31.0)
Health and wellness84 (31.1)60 (30.2)24 (33.8)
Rehabilitation14 (5.2)5 (2.5)9 (12.7) *
Sessions per weekOverall n (%)Women n (%)Men n (%)p *
1103 (38.1)69 (34.7)34 (47.9) *0.144
2144 (53.3)112 (56.3)32 (45.1)
3+23 (8.5)18 (9.0)5 (7.0)
Other physical activitiesOverall n (%)Women n (%)Men n (%)p *
Yes173 (64.1)119 (59.8)54 (76.1) *<0.014
No97 (35.9)80 (40.2)17 (23.9) *
EquipamentOverall n (%)Women n (%)Men n (%)p *
With wire78 (28.9)54 (27.1)24 (33.8)0.287
Wireless192 (71.1)145 (72.9)47 (66.2)
n (participants); % (percentage); Mdn (median); IQR (interquartile range); p * (p-value from Chi-square test); p (p-value from Mann–Whitney U test); BMI (body mass index, kg/m2); Underweight (BMI < 18.5); Normal (BMI ≥ 18.5 and <25); Overweight (BMI ≥ 25 and <30); Obese (BMI ≥ 30); University (university studies); No university (no university studies); * (sex ratios are significantly different).
Table 2. Relationships between socio-demographic variables and training goals.
Table 2. Relationships between socio-demographic variables and training goals.
Age GroupsWeightloss
n (%)
Increase Muscle Mass
n (%)
Health and Wellness
n (%)
Rehabilitation
n (%)
p
18–34 years25 (31.6)29 (36.7)25 (31.6)0 (0.0)<0.001
35–49 years62 (48.8)34 (26.8)28 (22.0)3 (2.4)
50–64 years5 (8.9)15 (26.8)28 (50.0)8 (14.3)
65+ years0 (0.0)2 (25.0)3 (37.5)3 (37.5)
BMI groupsWeightloss n (%)Increase muscle mass n (%)Health and wellness n (%)Rehabilitation n (%)p
Underweight1 (25.0)0 (0.0)3 (75.0)0 (0.0)<0.001
Normal26 (17.6)62 (41.9)54 (36.5)6 (4.1)
Overweight42 (46.7)18 (20.0)22 (24.4)8 (8.9)
Obese22 (81.5)0 (0.0)5 (18.5)0 (0.0)
Civil statusWeightloss n (%)Increase muscle mass n (%)Health and wellness n (%)Rehabilitation n (%)p
Singles40 (37.0)35 (32.4)31 (28.7)2 (1.9)0.110
Married47 (35.1)36 (26.9)40 (29.9)11 (8.2)
Divorced/Widowers5 (17.9)9 (32.1)13 (46.4)1 (3.6)
Level of studiesWeightloss n (%)Increase muscle mass n (%)Health and wellness n (%)Rehabilitation n (%)p
No university11 (34.4)13 (40.6)7 (21.9)1 (3.1)0.428
University81 (34.0)67 (28.2)77 (32.4)13 (5.5)
Other physical activitiesWeightloss n (%)Increase muscle mass n (%)Health and wellness n (%)Rehabilitation n (%)p
Yes54 (31.2)54 (31.2)56 (32.4)9 (5.2)0.613
No38 (39.2)26 (26.8)28 (28.9)5 (5.2)
n (participants); % (percentage); BMI (body mass index, kg/m2); Underweight (BMI < 18.5); Normal (BMI ≥ 18.5 and <25); Overweight (BMI ≥ 25 and <30); Obese (BMI ≥ 30); p (p-value from Chi-square test); University (university studies); No university (no university studies).
Table 3. Relationships between socio-demographic variables and sessions per week.
Table 3. Relationships between socio-demographic variables and sessions per week.
Age Groups1 Session/Week
n (%)
2 Sessions/Week
n (%)
3+ Sessions/Week
n (%)
p
18–34 years26 (32.9)45 (57.0)8 (10.1)0.456
35–49 years52 (40.9)62 (48.8)13 (10.2)
50–64 years23 (41.1)31 (55.4)2 (3.6)
65+ years2 (25.0)6 (75.0)0 (0.0)
BMI groups1 session/week
n (%)
2 sessions/week
n (%)
3+ sessions/week
n (%)
p
Underweight1 (25.0)2 (50.0)1 (25.0)0.179
Normal59 (39.9)73 (49.3)16 (10.8)
Overweight36 (40.0)48 (53.3)6 (6.7)
Obese7 (25.9)20 (74.1)0 (0.0)
Civil status1 session/week
n (%)
2 sessions/week
n (%)
3+ sessions/week
n (%)
p
Singles38 (35.2)58 (53.7)12 (11.1)0.324
Married50 (37.3)75 (56.0)9 (6.7)
Divorced/Widowers15 (53.6)9 (6.7)2 (7.1)
Level of studies1 session/week
n (%)
2 sessions/week
n (%)
3+ sessions/week
n (%)
p
No university10 (31.3)19 (59.4)3 (9.4)0.693
University93 (39.1)125 (52.5)20 (8.4)
Other physical activities1 session/week
n (%)
2 sessions/week
n (%)
3+ sessions/week
n (%)
p
Yes69 (39.9)92 (53.2)12 (6.9)0.407
No34 (35.1)52 (53.6)11 (11.3)
n (participants); % (percentage); BMI (body mass index, kg/m2); Underweight (BMI < 18.5); Normal (BMI ≥ 18.5 and <25); Overweight (BMI ≥ 25 and <30); Obese (BMI ≥ 30); p (p-value. Chi-square test); University (university studies); No university (no university studies).
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Rodrigues-Santana, L.; Louro, H.; Denche-Zamorano, Á.; Vega-Muñoz, A.; Contreras-Barraza, N.; Adsuar, J.C. Profile of Whole Body Electromyostimulation Training Users—A Pilot Study. Int. J. Environ. Res. Public Health 2022, 19, 4711. https://doi.org/10.3390/ijerph19084711

AMA Style

Rodrigues-Santana L, Louro H, Denche-Zamorano Á, Vega-Muñoz A, Contreras-Barraza N, Adsuar JC. Profile of Whole Body Electromyostimulation Training Users—A Pilot Study. International Journal of Environmental Research and Public Health. 2022; 19(8):4711. https://doi.org/10.3390/ijerph19084711

Chicago/Turabian Style

Rodrigues-Santana, Luiz, Hugo Louro, Ángel Denche-Zamorano, Alejandro Vega-Muñoz, Nicolás Contreras-Barraza, and Jose Carmelo Adsuar. 2022. "Profile of Whole Body Electromyostimulation Training Users—A Pilot Study" International Journal of Environmental Research and Public Health 19, no. 8: 4711. https://doi.org/10.3390/ijerph19084711

APA Style

Rodrigues-Santana, L., Louro, H., Denche-Zamorano, Á., Vega-Muñoz, A., Contreras-Barraza, N., & Adsuar, J. C. (2022). Profile of Whole Body Electromyostimulation Training Users—A Pilot Study. International Journal of Environmental Research and Public Health, 19(8), 4711. https://doi.org/10.3390/ijerph19084711

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