Acessibilidade / Reportar erro

A HIGH-INTENSITY INTERVAL TRAINING PROGRAM IN AQUATIC ENVIRONMENT (HIITAQ) FOR OBESE ADOLESCENTS

PROGRAMA DE TREINAMENTO INTERVALADO DE ALTA INTENSIDADE NO AMBIENTE AQUÁTICO (HIITAQ) EM ADOLESCENTES OBESOS

ABSTRACT

The increased prevalence of obesity has endangered the health of Brazilian adolescents. Regular physical activity and lifestyle changes are recommended as prevention and treatment. However, there is no consensus on the dose-response of training programs. This study aimed at assessing the effectiveness of a high-intensity interval training program in aquatic environment (HIITAQ) on physical fitness and cardiometabolic risk factors in obese teenagers. The sample consisted of 18 adolescents of both sexes, aged 12 to 17 years, diagnosed with obesity. Anthropometric variables, physical fitness, blood glucose, and lipid profile were evaluated before and after 12 weeks of training. The program consisted of two sets of 4-8 repetitions for 30 seconds (85%-95% of maximal heart rate) and 60 seconds of active rest interval. After applying the program, a reduction in body mass index was seen, that is, BMI z-score (p <0.01), as well as a reduction of Total Cholesterol, TC (p <0.01), and LDL (p <0.01). There was an increase in basal metabolic rate (p <0.01) and peak VO2 (p <0.01). No differences were seen after the training with regard to fat percentage, body mass index (BMI) waist/height ratio (WHtR), fasting blood glucose, insulin, and HDL-c (p>0.05). The high-intensity training program in aquatic environment was effective in reducing cardiometabolic risk factors.

Keywords:
Aquatic exercise; Obesity; Lipid profile; Cardiometabolic risk; Physical fitness

RESUMO

A saúde de adolescentes brasileiros tem sido comprometida pelo aumento da prevalência da obesidade. A prática de exercício físico regular e modificações no estilo de vida são ações recomendadas como prevenção e tratamento. No entanto, não há consenso quanto à dose resposta dos programas de exercícios. O objetivo deste estudo foi verificar a efetividade de um programa de treinamento intervalado de alta intensidade no ambiente aquático (HIITAQ) na aptidão física e fatores de risco cardiometabólicos em adolescentes obesos. A amostra foi composta por 18 adolescentes de ambos os sexos, com idade entre 12 e 17 anos, com diagnóstico de obesidade. Foram avaliadas, variáveis antropométricas, aptidão física, glicemia e perfil lipídico, antes e após 12 semanas de treinamento. O programa foi composto por duas séries de 4 a 8 repetições com 30 segundos de duração (80-95% da frequência cardíaca máxima) por 60 segundos de recuperação ativa. Após o programa de exercícios verificou-se redução do índice de massa corporal escore z IMCz (p< 0,01), do Colesterol Total (p< 0,01) e LDL-c (p< 0,01). Houve aumento da taxa metabólica basal (p< 0,01) e do VO2 pico (p< 0,01). Não foram observadas diferenças após o treinamento no percentual de gordura, índice de massa corporal, IMC, relação cintura/estatura RCEst, glicemia em jejum, insulina e HDL-c (p>0,05). O programa de treinamento de alta intensidade no meio aquático foi efetivo na redução de fatores de risco cardiometabólicos.

Palavras-chave:
Exercício aquático; Obesidade; Perfil lipídico; Risco cardiovascular; Aptidão física

Introduction

Obesity has been reported as a pandemic and its etiology is a result of a multifactorial process that involves genetic and environmental aspects11. Ng M. Fleming T. Robinson M. Thomson B. Graetz N. Margono C. et al. Global. regional. and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet2014;384(9945):766-81. Doi: https://doi.org/10.1016/s0140-6736(14)60460-8
https://doi.org/10.1016/s0140-6736(14)60...
. It is a public health problem and has a strong association with chronic non-communicable diseases (CNCD) and cardiovascular diseases (CVDs), which are among the leading causes of death in the contemporary world22. Lavie CJ. De Schutter A. Parto P. Jahangir E. Kokkinos P. Ortega FB. et al. Obesity and prevalence of cardiovascular diseases and prognosis-The Obesity Paradox Updated. Prog Cardiovasc Dis 2016;58(5):537-47. Doi: http://dx.doi.org/10.1016/j.pcad.2016.01.008
https://doi.org/10.1016/j.pcad.2016.01.0...
. Obesity affects all age groups and contributes to the development of cardiometabolic diseases22. Lavie CJ. De Schutter A. Parto P. Jahangir E. Kokkinos P. Ortega FB. et al. Obesity and prevalence of cardiovascular diseases and prognosis-The Obesity Paradox Updated. Prog Cardiovasc Dis 2016;58(5):537-47. Doi: http://dx.doi.org/10.1016/j.pcad.2016.01.008
https://doi.org/10.1016/j.pcad.2016.01.0...
.

Physical activity is indicated as part of a non-drug therapy for the treatment of obese adolescents. However, there is no consensus in the literature as to the type of physical activity and the appropriate dose-response for this population33. Kelley GA. Kelley KS. Effects of activity in the treatment of overweight and obese children and adolescents: A systematic review of meta-analyses. J Obes 2013;(1):1-10. Doi: https://dx.doi.org/10.1155/2013/783103
https://doi.org/10.1155/2013/783103...
),(44. Lopes M FA. Bento PCB. Lazzaroto L. Rodacki AF. Leite N. Efeitos da caminhada aquática sobre aspectos antropométricos e metabólicos em jovens obesos. Rev. bras. cineantropom. desempenho hum 2015;17(2):145. Doi: https://doi.org/10.5007/1980-0037.2015v17n2p145
https://doi.org/10.5007/1980-0037.2015v1...
. The recommendation for obese adults is of at least 150 minutes a week with moderate-to-vigorous intensity to prevent an increase in body mass, which may result in a slight reduction in weight and health risks. Considering long-term weight reduction, 150 to 300 minutes of moderate-to-vigorous intensity are recommended55. ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501.),(66. Donnelly JE. Blair SN. Jakicic JM. Manore MM. Rankin JW. Smith BK. Appropriate Physical Activity Intervention Strategies for Weight Loss and Prevention of Weight Regain for Adults. Med Sci Sport Exerc 2009;41(2):459-471. Doi: https://doi.org/10.1249/mss.0b013e3181949333
https://doi.org/10.1249/mss.0b013e318194...
. Regarding adolescents, programs with daily aerobic exercises are indicated, with at least two weekly sessions of endurance exercises complemented with flexibility and balance for sixty minutes55. ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501.),(77. Piercy KL. Troiano RP. Ballard RM. Carlson SA. Fulton JE. Galuska DA. et al. The Physical Activity Guidelines for Americans. JAMA2018;20;320(19):2020. Doi: https://doi.org/10.1001/jama.2018.14854
https://doi.org/10.1001/jama.2018.14854...
.

Recent studies show the high-intensity interval training (HIIT) as a possibility of exercises to improve body composition and increase the cardiorespiratory capacity of populations, including obese people88. Weston KS; Wisløff U; Coombes JS; High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med2013;48(16):1227-1234. Doi: http://dx.doi.org/10.1136/
https://doi.org/10.1136/...
),(99. Boutcher SH. High-Intensity Intermittent Activity and Fat Loss. J Obes 2011:1-10. Doi: https://doi.org/10.1155/2011/868305
https://doi.org/10.1155/2011/868305...
. This model involves short periods of high-intensity physical activities with submaximal active intervals for recovery. As a result of these programs, the improvement in metabolic parameters1010. Racil G; Coquart J; Elmontassar W; Haddad M; Goebel R; Chaouachi A; et al. Greater effects of high- compared with moderate-intensity interval training on cardio-metabolic variables. blood leptin concentration and ratings of perceived exertion in obese adolescent females. Biol Sport 2016;33(2):145-52. Doi: https://dx.doi.org/10.560/20831862.1198633
https://doi.org/10.560/20831862.1198633...
is evidenced, in addition to skeletal muscle adaptations capable of increasing both, fat oxidation and excessive post-exercise oxygen consumption99. Boutcher SH. High-Intensity Intermittent Activity and Fat Loss. J Obes 2011:1-10. Doi: https://doi.org/10.1155/2011/868305
https://doi.org/10.1155/2011/868305...
),(1111. Gibala, MJ; Little, JP; Van, Essen M; Wilkin ,GP; Burgomaster, KA; Safdar, A; et al. Short-term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and activity performance. J Physiol 2006;575(3):901-11. Doi: http://doi.wiley.com/10.1113/jphysiol.2006.112094
https://doi.org/10.1113/jphysiol.2006.11...
.

However, overweight and obese people have functional limitations that can hinder their participation in activities practiced on land. The risks of musculoskeletal injuries, postural discomfort, lower back or hip pain are increased in these individuals1212 . Kim, N; Browning, RC; Lerner ZF. The effects of pediatric obesity on patellofemoral joint contact force during walking. Gait Posture 2019;73:209-14. Doi: https://doi.org/10.1016/j.gaitpost.2019.07.307
https://doi.org/10.1016/j.gaitpost.2019....
. In fact, a study carried out with 1856 schoolchildren showed that 74% of the obese children had postural deviations due to abdomen protrusion; lordosis and kyphosis were the most common ones. Considering the orthopedic complications found, knock-knees and flat feet were the most common1313. Maciałczyk-Paprocka, K; Stawińska-Witoszyńska ,B; Kotwicki, T; Sowińska, A; Krzyżaniak, A; Walkowiak, J;. et al. Prevalence of incorrect body posture in children and adolescents with overweight and obesity. Eur J Pediatr 2017;176(5):563-72. Doi: https://doi.org/10.1007/s00431-017-2873-4
https://doi.org/10.1007/s00431-017-2873-...
.

Therefore, training programs that are practiced in aquatic environment are alternatives to minimize the overload of body weight, which provides greater safety1414. Vijayaraj V. Shaju MKF. Effectiveness of aqua-aerobic activitys on cardio vascular fitness and weight loss among obese college students. Int J Phys Educ Sport Heal 2019;6(3):111-6. Doi: https://doi.org/10.15621/ijphy/2017/v4i5/159422
https://doi.org/10.15621/ijphy/2017/v4i5...
mainly regarding the reduction of the impact on the joints due to the apparent weight decrease resulting from flotation1515. Alberton C. Tartaruga M. Pinto S. Cadore E. Antunes A. Finatto P. et al. Vertical ground reaction force during water activitys performed at different intensities. Int J Sports Med 2013;34(10):881-887. Doi: https://doi.org/10.1055/s-0032-1331757
https://doi.org/10.1055/s-0032-1331757...
. In addition, due to both, the fluid density and the body area projected, there is an increase in resistive forces (drag), which will require greater application of muscle strength to move a given body segment in water1616. Prampero PE. The energy cost of human locomotion on Land and in Water. IntJ Sport Med 1986;7:55-72. Doi: https://doi.org/10.1055/s-2008-1025736
https://doi.org/10.1055/s-2008-1025736...
.

In addition, with immersion there is a redistribution of blood flow and an increase in blood volume in the central region and atrial distension. Such changes result in increased release of the atrial natriuretic peptide (ANP), which acts in the regulation of lipid metabolism. Water exercises with progressive loads have proved to provide the increase in ANP concentration, which contributes to the increase in lipolysis and fat oxidation1717. Wiesner S. Birkenfeld AL. Engeli S. Haufe S. Brechtel L. Wein J. et al. Neurohumoral and Metabolic Response to Activity in Water. Horm Metab Res 2010;42(05):334-9. Doi: https://doi.org/10.1055/s-0030-1248250
https://doi.org/10.1055/s-0030-1248250...
. Such findings are significant and can assist in the selection of the most appropriate exercise modality for the treatment of obesity1818. Karner-Rezek K. Knechtle B. Fenzl M. Gredig J. Rosemann T. Does continuous endurance activity in water elicit a higher release of ANP and BNP and a higher plasma concentration of FFAs in pre-obese and obese men than high intensity intermittent endurance activity? - Study protocol for a randomized controlled trial. Trials2013;14(1):328. Doi: https://doi.org/10.1186/1745-6215-14-328
https://doi.org/10.1186/1745-6215-14-328...
.

These characteristics of the aquatic environment corroborate the recommendations for physical activities in the sense of obtaining reduced weight, decreased cardiovascular risks and improved health1919. Abadi FH. Elumalai G. Sankaraval M. Ramli FABM. Effects of Aqua-aerobic activity on the cardiovascular fitness and weight loss among obese students. Int J Physiother 2017 4(5):278-83. Doi: https://doi.org/10.15621/ijphy/2017/v4i5/159422
https://doi.org/10.15621/ijphy/2017/v4i5...
),(2020 Schaun GZ. Pinto SS. Praia ABC. Alberton CL. Energy expenditure and EPOC between water-based high-intensity interval training and moderate-intensity continuous training sessions in healthy women. J Sports Sci2018;36(18):2053-60. Doi: https://doi.org/10.1080/02640414.2018.1435967
https://doi.org/10.1080/02640414.2018.14...
. However, no proposal for the application of the HIIT method in the aquatic environment for obese adolescents is known up to date. Thus, the present study aimed at proposing and applying a HIIT program in the aquatic environment for this population, in addition to assessing its effectiveness on physical fitness and cardiometabolic risk factors.

Methods

Participants

A sample size estimate was performed based on the study by Lopes et al.44. Lopes M FA. Bento PCB. Lazzaroto L. Rodacki AF. Leite N. Efeitos da caminhada aquática sobre aspectos antropométricos e metabólicos em jovens obesos. Rev. bras. cineantropom. desempenho hum 2015;17(2):145. Doi: https://doi.org/10.5007/1980-0037.2015v17n2p145
https://doi.org/10.5007/1980-0037.2015v1...
with 80% statistical power, a significance level (α) of 0.05 and an effect size of 0.5, which indicated a sample of 27 participants (G*Power Software, v. 3.1.9.2, Germany). Considering possible losses, a total of 38 pubescent individuals were submitted to convenience sampling to participate in this study. Sixteen adolescents did not start the program due to incompatible training schedules with other activities, thus, 22 were included in the training group. Two participants did not finish the training due to illness, and two of them did not complete all final assessments. Eighteen male and female obese adolescents, aged between 12 and 17 years, finished the program according to the cutoff points for classifying the nutritional status proposed by the World Health Organization (WHO). The statistical power calculated a posteriori, with 18 participants evaluated at the end of the study, was of 65% considering alpha of 0.05, effect size 0.5.

Procedures

The study was approved by the Committee on Ethical Research with Humans in accordance with Resolution 466/12 and deliberations of the National Health Council, Opinion Number: 2.623.226 and the Municipal Secretary for Sport and Recreation of Curitiba city, Protocol No. 01-049765/2018; number of the Brazilian Clinical Trials Registry (ReBec) RBR: 6343y7. The recruitment was published on the website of the Brazilian university referred to as Universidade Federal do Paraná (UFPR). This dissemination was extended to the media in local radio and television programs.

The meetings with parents, as well as the screening and evaluations of the participants took place in the University auditorium, at the Quality of Life Center (QLC) and in the Laboratory of Activity Physiology of the Physical Education Course at the UFPR, Jardim Botânico Campus, during four consecutive visits.

The first visit consisted of a public explanation of the purposes and procedures for participating in the HIITAQ project, as well as signing of the Free Informed Consent Form after detailed reading. The criteria for inclusion in the study consisted of having a Body Mass Index (BMI) above the 95th percentile for age and sex, according to the criteria by De Onis et al.2121. Onis M. Onyango AW. Borghi E. Siyam A. Nishida C. Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Or 2007;85(09):660-7. Doi: https://doi.org/10.2471/blt.07.043497
https://doi.org/10.2471/blt.07.043497...
, in addition to being able to practice physical activity, not having infectious skin diseases (chilblains, dermatitis, mycoses) that would contraindicate the practice of exercises in water, and not using medicines or treatments for weight loss. Participation in all assessments and at least 75% attendance at sessions were demanded.

Medical, anthropometric and biological maturation assessments were performed on the second visit. Height was measured by using a stadiometer attached to the wall with a resolution of 0.1 cm and amplitude of 220 cm, performed at the end of maximal oxygen consumption. The body mass was expressed in kilograms by using a digital platform scale calibrated according to INMETRO, with a maximum capacity of 200 kg and a resolution of 50 grams. The BMI was calculated based on the body mass and height squared ratio, and classified according to the criteria of the Growth reference data for 5-19 years2121. Onis M. Onyango AW. Borghi E. Siyam A. Nishida C. Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Or 2007;85(09):660-7. Doi: https://doi.org/10.2471/blt.07.043497
https://doi.org/10.2471/blt.07.043497...
. In order to calculate the body mass index z-score (BMIz), the WHO Anthro Plus® program, version 1.0.4 (WHO, 2012) was used. Considering age and sex, classification was performed based on the following values: obesity ≥ +2 (SD), according to the criteria by Onis et al.2121. Onis M. Onyango AW. Borghi E. Siyam A. Nishida C. Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Or 2007;85(09):660-7. Doi: https://doi.org/10.2471/blt.07.043497
https://doi.org/10.2471/blt.07.043497...
. Regarding the abdominal circumference (AC) and waist circumference (WC), a fiber anthropometric measuring tape by Sanny (code TR4013) was used, which was flexible and inextensible (a resolution of 0.1 cm).

The AC measurement followed Fernandez et al.2222. Fernández JR. Bohan Brown M. López-Alarcón M. Dawson JA. Guo F. Redden DT. et al. Changes in pediatric waist circumference percentiles despite reported pediatric weight stabilization in the United States. Pediatr Obes 2017;12(5):347-55. Doi: http://doi.wiley.com/10.1111/ijpo.12150
https://doi.org/10.1111/ijpo.12150...
criteria for measurement and classification, considering values equal to or greater than the 75th percentile as abdominal excess, categorized according to age, sex and ethnicity. The WC was measured in accordance with the criterion by Taylor et al.2323. Taylor RW. Jones IE. Williams SM. Goulding A. Evaluation of waist circumference. waist-to-hip ratio. and the conicity index as screening tools for high trunk fat mass. as measured by dual-energy X-ray absorptiometry. in children aged 3-19 y. Am J Clin Nutr 2000;72(2):490-5. Doi: https://doi.org/10.1093/ajcn/72.2.490
https://doi.org/10.1093/ajcn/72.2.490...
, and the waist/height ratio (WHtR) was obtained by the quotient between waist circumference (cm) and height (cm), and classified according to the criterion by McCarthy HD, Ashwell M. A2424. McCarthy HD. Ashwell M. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message - ‘keep your waist circumference to less than half your height’. Int J Obes 2006;30(6):988-92. Dois: https://doi.org/10.1038/sj.ijo.0803226
https://doi.org/10.1038/sj.ijo.0803226...
.

Sexual maturation was assessed by a doctor who applied direct observation with the permission from the adolescent and/or parents. When not allowed, self-assessment was considered through drawings regarding the development of pubic hair, (P1-P5), based on the staging proposed by NM, Udry JR2525. Morris NM. Udry J JR. Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc 1980;9(3):271-80. Doi: https://doi.org/10.1007/bf02088471
https://doi.org/10.1007/bf02088471...
, Tanner JM.2626. Tanner JM. Normal growth and techniques of growth assessment. Clin Endocrinol Metab 1986;15(3):411-51. Doi: https://doi.org/10.1016/s0300-595x(86)80005-6
https://doi.org/10.1016/s0300-595x(86)80...
. Girls and boys were classified as follows: pre-pubertal individuals - with no pubic hair (P1), pubertal individuals - with pubic hair between P2 and P4, and post-pubertal individuals - P5 stage. The girls who reported the occurrence of menarche were considered as post-pubertal2727. Katon JG. Flores YN. Salmerón J. Sexual maturation and metabolic profile among adolescents and children of the Health Worker Cohort Study in Mexico. Salud Publica Mex2009;51(3):219-26. Doi: https://doi.org/10.1590/s0036-36342009000300012
https://doi.org/10.1590/s0036-3634200900...
.

The blood samples were collected on the third visit at the clinical analysis laboratory to evaluate the lipid profile and blood glucose. Body composition was measured by using Bioelectrical Impedance Analysis (BIA) with the tetra polar Bioimpedance device by Biodynamics (Model 450). The following variables were assessed: fat percentage, lean mass, fat-free mass and basal metabolic rate. The procedure was performed in the morning after a 10-12 hour fasting. Muscle strength was measured according to the right and left handgrip strength (HGS) by using a handgrip dynamometer with the same specifications as those by JAMAR, with a scale ranging from 0 to 100 kilograms strength (kgf)2828. Oliveira S. Oliveira S L. Menezes RK. Miranda LG. Pedrosa HC. Prestes J. Análise da força de preensão manual e risco cardiovascular de adolescentes com diabetes melitos Tipo 1. Rev Bras Ciência e Mov 2016;24(2):5-14. Doi: http://dx.doi.org/10.18511/rbcm.v24i2.5876
https://doi.org/10.18511/rbcm.v24i2.5876...
.

On the fourth visit, cardiorespiratory fitness was assessed by applying a test on an ergometric treadmill (Inbramed, model ATL, Brazil), with a modified ramp protocol, starting at a speed of 4 kilometers per hour (km/h) and a progressive increase of 0.3 km/h every 30 seconds with a constant slope of 1% until maximal exertion, as recommended for the age group2929 Sheehan JM. Rowland TW. Burke EJ. A comparison of four treadmill protocols for determination of maximum oxygen uptake in 10- to 12-year-old boys. Int J Sports Med 1987;8(1):31-4. Doi: https://doi.org/10.1055/s-2008-1025636
https://doi.org/10.1055/s-2008-1025636...
.

The maximal oxygen consumption (VO2 max) was determined by the highest value obtained during the maximal test, when two of the following criteria were obtained55. ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501.: a) exhaustion or inability to maintain the speed required; b) respiratory ratio (R) ≥ 1.09; c) difficulty in coordinating the movement; d) maximum heart rate (HRmax) predicted by the formula 208-(0.7x age)3030. Tanaka H. Monahan KD. Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol 2001;37(1):153-6. Doi: https://doi.org/10.1016/s0735-1097(00)01054-8
https://doi.org/10.1016/s0735-1097(00)01...
.

The metabolic analyzer (K4b2, Cosmed, Italy) was used for assessing the VO2 max, which is capable of storing data in internal memory for later download; the BREEZESUITE® software was used to estimate the values obtained. During the test performance, the following parameters of physiological controls were recorded: heart rate (HR) monitored by means of a heart rate monitor (Polar®, model A300), a portable wireless reception system, and the participants' responses were evaluated by using the OMNI Perceived Exertion Scale (PES) (1-10), which has been validated in studies for children and adolescents3131. McGuigan, MR; Dayel, AA; Tod, D; Foster, C; Newton, RU; Pettigrew, S. Use of session rating of perceived exertion for monitoring resistance activity in children Who Are Overweight or Obese. Pediatr Exerc Sci2008;20(3):333-41. Doi: https://doi.org/10.1123/pes.20.3.333
https://doi.org/10.1123/pes.20.3.333...
.

The HIITAQ program

The High-Intensity Interval Training Program in Aquatic Environment (HIITAQ) was carried out for 12 weeks, three times a week (36 sessions) in a 25-meter pool, 1.40-meter depth, controlled temperature (28º-30º degrees C). A period of familiarization with the aquatic environment was performed, that is, adaptation with the pool and the movements, sequence of exercises and implements used, such as the perceived exertion scale, heart rate monitor, and resistance equipment (Aquafin). The exercise intensity was established according to the recommendations by ACSM, 201855. ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501. and controlled by using the OMNI scale 5 (moderate) and 8 (intense); the heart rate (HR) was monitored using the polar frequency meter A300 recorded at the end of each series. The determination of the training HR was based on the maximal HR obtained on the treadmill test, corrected by immersion bradycardia (-14 bpm) according to the study by Bento, Lopes and Leite3232. Bento, PCB,; Lopes, MDFA; Leite, N. Resposta da freqüência cardíaca em repouso e durante teste incremental máximo. realizado em meio terrestre ou aquático. Rev Educ Fís 2009;20(4):597-605. Doi: 10.4025/reveducfis.v20i4.6335
https://doi.org/10.4025/reveducfis.v20i4...
.

During the execution of the exercises, the participants were verbally encouraged to maintain the recommended intensity. At the end of each series, they received feedback regarding HR and the rate of perceived exertion (RPE) for a possible adjustment of training intensity in the subsequent series. The following exercises were selected for the present study: stationary running, frontal kick, and ski. The stationary running was repeated in order to complete the movements of the series. The selection and option for these movements was based on the fact that they are commonly used in water aerobics classes and because of the good correlation between PES and peak VO2 when tested through ergospirometry evaluation3333. Alberton, CL; Pinto, SS; Gorski, T; Antunes, AH; Finatto, P; Cadore, EL; et al. Rating of perceived exertion in maximal incremental tests during head-out water-based aerobic activitys. J Sports Sci2016;34(18):1691-8. Doi: https://doi.org/10.1080/02640414.2015.1134804
https://doi.org/10.1080/02640414.2015.11...
. The sessions consisted of warm-up (10 min), main series of HIIT with active rest interval, followed by a period of calm down in a recreational way according to the age group. HIIT was determined based on previous studies detailed in Chart 1 3434. Dias, KA; Coombes, JS; Green, DJ; Gomersall, SR; Keating, SE; Tjonna, AE; et al. Effects of activity intensity and nutrition advice on myocardial function in obese children and adolescents: a multicentre randomised controlled trial study protocol. BMJ Open 2016;6(4):e010929. Doi: http://dx.doi.org/10.1136/
https://doi.org/10.1136/...
),(3535. Tjønna, AE; Stølen, TO; Bye, A; Volden, M; Slørdahl, SA; Ødegård, R; et al. Aerobic interval training reduces cardiovascular risk factors more than a multitreatment approach in overweight adolescents. Clin Sci 2009;116(4):317-26. Doi: https://doi.org/10.1042/cs20080249
https://doi.org/10.1042/cs20080249...
.

Chart 1
Planning of the High-Intensity Interval Training Program in Aquatic Environment

Statistical analysis

Descriptive statistics, mean and standard deviation were used in order to assess the data collected. Shapiro-Wilk test was applied to evaluate the data normality, in addition to Levene’s test for sample homogeneity. The t-test was used to compare the pre and post intervention means, and Wilcoxon test was applied when the data did not follow a normal distribution. The significance level of p <0.05 was determined for assessing the results. The tests were performed by using IBM SPSS Statistics software version 25.

Results

Eighteen adolescents aged 12 to 17 years of both sexes were classified as obese (21). Considering the pubertal stage, they were classified as pubertal individuals (9 boys and 3 girls) and post-pubertal (4 boys and 2 girls). The general characteristics related to age, anthropometric measurements, body composition, cardiorespiratory fitness and handgrip strength are shown in Table 1.

Table 1
General characteristics of the participants

Table 2 shows the variables related to the intensity of the HIITAQ program, which was carried out for twelve weeks and consisted of 36 sessions. Regarding the analysis, the means were considered at the end of each training cycle separated according to sex.

Table 2
Workout intensities, mean values (± standard deviation) related to the final weeks of each training cycle

Table 3 shows the results related to the analysis of pre and post intervention data, anthropometric variables and body composition. After the training period an increase in BM, height, waist circumference and fat-free mass was seen. There was a reduction in BMIz with no changes regarding the other variables.

Table 3
Anthropometric and body composition data before and after 12 weeks of training (mean ± standard deviation)

Table 4 shows the variables related to physical fitness and basal metabolic rate before and after the HIITAQ program. There was an increase in the basal metabolic rate and peak VO2 after the training program (p<0.05). The other variables showed no change (p>0.05).

Table 4
Variables related to physical fitness and basal metabolic rate before and after 12 weeks of training (mean ± standard deviation)

The results showed a reduction in total cholesterol and LDL cholesterol after 12 weeks of training (p <0.05). The other variables did not differ after the physical activity program (Table 5).

Table 5
Metabolic and lipid profile variables before and after 12 weeks of training (mean ± standard deviation)

Discussion

The present study is the first to propose and apply a high-intensity interval training program in aquatic environment for obese adolescents, in addition to assessing its effectiveness in terms of the anthropometric parameters of physical and cardiometabolic fitness.

The intensity of 80-95% maximal heart rate was suggested based on a previous study applied to this population on land with 70-95% maximal heart rate33. Kelley GA. Kelley KS. Effects of activity in the treatment of overweight and obese children and adolescents: A systematic review of meta-analyses. J Obes 2013;(1):1-10. Doi: https://dx.doi.org/10.1155/2013/783103
https://doi.org/10.1155/2013/783103...
)(55. ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501., and on another study with adults carried out in aquatic environment with an intensity of 80-95% maximal heart rate3636. Rebold, MJ; Mallory, S; Kobak, A; Otterstetter, R; The Influence of a Tabata Interval training program using an aquatic underwater treadmill on various performance variables. J Strength Cond Res 2013;27(12):3419-25. Doi: https://doi.org/10.1519/jsc.0b013e3182908a09
https://doi.org/10.1519/jsc.0b013e318290...
. The intensity proposed for the HIITAQ program was reached and varied from 92% to 94% of the maximal HR in men, and 97% to 99% in women. Regarding the heart rate reserve, it was from 79% to 83% for men, and 80% to 86% for women. However, considering the rate of perceived exertion, the values found were lower than expected, considering the training proposal that should be 8 points on the OMNI scale.

The results showed that the physical activity program was effective in reducing the BMI z-score (p <0.01). The decrease in this measure may represent a possible decrease in the classification of the obesity degree2121. Onis M. Onyango AW. Borghi E. Siyam A. Nishida C. Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Or 2007;85(09):660-7. Doi: https://doi.org/10.2471/blt.07.043497
https://doi.org/10.2471/blt.07.043497...
, which indicates an improvement in the metabolic parameter when the reduction is equal or greater than 0.5 BMI z-score. There was an increase in height (p <0.01) and lean body mass (p <0.048), which might justify the increase in total body mass.

The fat percentage showed no change. This result corroborates the findings shown in a study by Dias et al3737. Dias, KA; Ingul, CB; Tjønna, AE; Keating, SE , SR; Follestad, T; et al. Effect of High-Intensity Interval Training on Fitness. Fat Mass and Cardiometabolic Biomarkers in Children with Obesity: A Randomised Controlled Trial. Sport Med2018;48(3):733-46. Doi: https://doi.org/10.1007/s40279-017-0777-0
https://doi.org/10.1007/s40279-017-0777-...
. The waist-height ratio has been a marker of cardiometabolic risk2424. McCarthy HD. Ashwell M. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message - ‘keep your waist circumference to less than half your height’. Int J Obes 2006;30(6):988-92. Dois: https://doi.org/10.1038/sj.ijo.0803226
https://doi.org/10.1038/sj.ijo.0803226...
, however, no change was seen. The water density works as a factor to increase resistance to movement, which can generate an increase in energy expenditure3838. Becker BE. Aquatic therapy: scientific foundations and clinical rehabilitation applications. PM&R 2009;1(9):859-72. Doi: https://doi.org/10.1016/j.pmrj.2009.05.017
https://doi.org/10.1016/j.pmrj.2009.05.0...
. However, flotation is a protective factor for the ankle and knee joints, and at the same time it seems to result in less total energy expenditure when compared to physical exercises that demand total body weight lift3939. Gleim GW. Nicholas JA. Metabolic costs and heart rate responses to treadmill walking in water at different deptHGS and temperatures. Am J Sports Med1989;17(2):248-52. Doi: https://doi.org/10.1177/036354658901700216
https://doi.org/10.1177/0363546589017002...
. This occurs especially when a large part of the body is immersed, as in the present study, in which the participants had the water level between the xiphoid process and the shoulder line. Thus, the apparent weight reduction might have resulted in less total energy expenditure, which may partially explain the absence of changes in both, the waist/height ratio and fat percentage.

HIIT has received attention as a training method with efficient and effective use of time to improve physical fitness with increased cardiorespiratory capacity, even in obese individuals88. Weston KS; Wisløff U; Coombes JS; High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med2013;48(16):1227-1234. Doi: http://dx.doi.org/10.1136/
https://doi.org/10.1136/...
),(99. Boutcher SH. High-Intensity Intermittent Activity and Fat Loss. J Obes 2011:1-10. Doi: https://doi.org/10.1155/2011/868305
https://doi.org/10.1155/2011/868305...
. In fact, the present study showed an increase in peak VO2, which is quite significant, since the improvement of aerobic fitness with a short-term physical activity program favors obese people. Usually, this group has low cardiorespiratory fitness and, thus, it is not always able to engage in traditional long-term programs, even if the intensity is moderate. It is also noteworthy that the improved aerobic fitness is related to cardiovascular protection and prevention of metabolic diseases1010. Racil G; Coquart J; Elmontassar W; Haddad M; Goebel R; Chaouachi A; et al. Greater effects of high- compared with moderate-intensity interval training on cardio-metabolic variables. blood leptin concentration and ratings of perceived exertion in obese adolescent females. Biol Sport 2016;33(2):145-52. Doi: https://dx.doi.org/10.560/20831862.1198633
https://doi.org/10.560/20831862.1198633...
.

In addition, there was an increase in the basal metabolic rate (p <0.01), which might prove to be a response of the physical activity to skeletal muscle adaptations that increase fat oxidation and oxygen use88. Weston KS; Wisløff U; Coombes JS; High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med2013;48(16):1227-1234. Doi: http://dx.doi.org/10.1136/
https://doi.org/10.1136/...
),(99. Boutcher SH. High-Intensity Intermittent Activity and Fat Loss. J Obes 2011:1-10. Doi: https://doi.org/10.1155/2011/868305
https://doi.org/10.1155/2011/868305...
),(1111. Gibala, MJ; Little, JP; Van, Essen M; Wilkin ,GP; Burgomaster, KA; Safdar, A; et al. Short-term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and activity performance. J Physiol 2006;575(3):901-11. Doi: http://doi.wiley.com/10.1113/jphysiol.2006.112094
https://doi.org/10.1113/jphysiol.2006.11...
. However, there was no increase in muscle strength, which was assessed by means of handgrip strength. This is likely to due to the training specificity that emphasized lower limb muscle groups.

It is well established that blood markers, that is, glucose, total cholesterol, triglycerides, LDL, HDL are metabolic risk indicators1010. Racil G; Coquart J; Elmontassar W; Haddad M; Goebel R; Chaouachi A; et al. Greater effects of high- compared with moderate-intensity interval training on cardio-metabolic variables. blood leptin concentration and ratings of perceived exertion in obese adolescent females. Biol Sport 2016;33(2):145-52. Doi: https://dx.doi.org/10.560/20831862.1198633
https://doi.org/10.560/20831862.1198633...
. On the other hand, regular physical activity has been recommended to reduce these risk factors.

The results of the present study showed that HDL, glucose and insulin did not change. However, there was a reduction in total cholesterol and LDL-c, which indicates a positive response of the program herein proposed with regard to the modification of the lipid profile in obese adolescents. Obesity is associated with changes in the concentrations of TC and LDL-c that are determinant in the cardiovascular complications observed in obese adolescents and that can persist throughout adulthood4040. Srinivasan SR. Frontini MG. Xu J. Berenson GS. Utility of childhood non-high-density lipoprotein cholesterol levels in predicting adult dyslipidemia and other cardiovascular risks: The Bogalusa Heart Study. Pediatrics2006;118(1):201-6. Doi: https://doi.org/10.1542/peds.2005-1856
https://doi.org/10.1542/peds.2005-1856...
. Thus, the reduction related to these variables shown in this study indicates the effectiveness of the program and its significance for health.

Therefore, the proposal of the present study is innovative as a high-intensity training methodology for obese adolescents in aquatic environment. The program proved to be viable, since the intensities suggested were achieved, even in a group of participants with low physical fitness.

One of the limitations of this study is the absence of a control group. However, considering that the participants were classified as pubertal (final stage) or post-pubertal individuals, the effects of the growth process, development and maturation might have been less evident. Thus, the morphological and physiological changes shown can be largely attributed to the physical training proposed. Further studies are suggested in order to compare the effectiveness of a high-intensity water training with moderate-intensity aerobic exercises in aquatic environment, which are traditionally recommended for reducing and controlling body weight.

Conclusions

In conclusion, the high-intensity interval training program in aquatic environment carried out for 12 weeks was effective in the sense of reducing the cardiometabolic risk and improving physical fitness of the obese population. The reduction in BMI, LDL-c and total cholesterol is highlighted, in addition to the increase in fat-free mass, basal metabolic rate and cardiorespiratory fitness. Thus, HIITAQ meets the high-intensity interval training (HIIT) methodology and can be considered an alternative as part of non-drug therapy for the treatment of obesity in adolescents.

References

  • 1
    Ng M. Fleming T. Robinson M. Thomson B. Graetz N. Margono C. et al. Global. regional. and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet2014;384(9945):766-81. Doi: https://doi.org/10.1016/s0140-6736(14)60460-8
    » https://doi.org/10.1016/s0140-6736(14)60460-8
  • 2
    Lavie CJ. De Schutter A. Parto P. Jahangir E. Kokkinos P. Ortega FB. et al. Obesity and prevalence of cardiovascular diseases and prognosis-The Obesity Paradox Updated. Prog Cardiovasc Dis 2016;58(5):537-47. Doi: http://dx.doi.org/10.1016/j.pcad.2016.01.008
    » https://doi.org/10.1016/j.pcad.2016.01.008
  • 3
    Kelley GA. Kelley KS. Effects of activity in the treatment of overweight and obese children and adolescents: A systematic review of meta-analyses. J Obes 2013;(1):1-10. Doi: https://dx.doi.org/10.1155/2013/783103
    » https://doi.org/10.1155/2013/783103
  • 4
    Lopes M FA. Bento PCB. Lazzaroto L. Rodacki AF. Leite N. Efeitos da caminhada aquática sobre aspectos antropométricos e metabólicos em jovens obesos. Rev. bras. cineantropom. desempenho hum 2015;17(2):145. Doi: https://doi.org/10.5007/1980-0037.2015v17n2p145
    » https://doi.org/10.5007/1980-0037.2015v17n2p145
  • 5
    ACSM´s. Guidelines for activity testing and prescription. In: Wolters Kluwer Health. editor. American College of Sports Medicine. 10.ed. Philadelphia. Wolters Kluwer Health/Lippincott Williams & Wilkins: 2018; p.501.
  • 6
    Donnelly JE. Blair SN. Jakicic JM. Manore MM. Rankin JW. Smith BK. Appropriate Physical Activity Intervention Strategies for Weight Loss and Prevention of Weight Regain for Adults. Med Sci Sport Exerc 2009;41(2):459-471. Doi: https://doi.org/10.1249/mss.0b013e3181949333
    » https://doi.org/10.1249/mss.0b013e3181949333
  • 7
    Piercy KL. Troiano RP. Ballard RM. Carlson SA. Fulton JE. Galuska DA. et al. The Physical Activity Guidelines for Americans. JAMA2018;20;320(19):2020. Doi: https://doi.org/10.1001/jama.2018.14854
    » https://doi.org/10.1001/jama.2018.14854
  • 8
    Weston KS; Wisløff U; Coombes JS; High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med2013;48(16):1227-1234. Doi: http://dx.doi.org/10.1136/
    » https://doi.org/10.1136/
  • 9
    Boutcher SH. High-Intensity Intermittent Activity and Fat Loss. J Obes 2011:1-10. Doi: https://doi.org/10.1155/2011/868305
    » https://doi.org/10.1155/2011/868305
  • 10
    Racil G; Coquart J; Elmontassar W; Haddad M; Goebel R; Chaouachi A; et al. Greater effects of high- compared with moderate-intensity interval training on cardio-metabolic variables. blood leptin concentration and ratings of perceived exertion in obese adolescent females. Biol Sport 2016;33(2):145-52. Doi: https://dx.doi.org/10.560/20831862.1198633
    » https://doi.org/10.560/20831862.1198633
  • 11
    Gibala, MJ; Little, JP; Van, Essen M; Wilkin ,GP; Burgomaster, KA; Safdar, A; et al. Short-term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and activity performance. J Physiol 2006;575(3):901-11. Doi: http://doi.wiley.com/10.1113/jphysiol.2006.112094
    » https://doi.org/10.1113/jphysiol.2006.112094
  • 12
    Kim, N; Browning, RC; Lerner ZF. The effects of pediatric obesity on patellofemoral joint contact force during walking. Gait Posture 2019;73:209-14. Doi: https://doi.org/10.1016/j.gaitpost.2019.07.307
    » https://doi.org/10.1016/j.gaitpost.2019.07.307
  • 13
    Maciałczyk-Paprocka, K; Stawińska-Witoszyńska ,B; Kotwicki, T; Sowińska, A; Krzyżaniak, A; Walkowiak, J;. et al. Prevalence of incorrect body posture in children and adolescents with overweight and obesity. Eur J Pediatr 2017;176(5):563-72. Doi: https://doi.org/10.1007/s00431-017-2873-4
    » https://doi.org/10.1007/s00431-017-2873-4
  • 14
    Vijayaraj V. Shaju MKF. Effectiveness of aqua-aerobic activitys on cardio vascular fitness and weight loss among obese college students. Int J Phys Educ Sport Heal 2019;6(3):111-6. Doi: https://doi.org/10.15621/ijphy/2017/v4i5/159422
    » https://doi.org/10.15621/ijphy/2017/v4i5/159422
  • 15
    Alberton C. Tartaruga M. Pinto S. Cadore E. Antunes A. Finatto P. et al. Vertical ground reaction force during water activitys performed at different intensities. Int J Sports Med 2013;34(10):881-887. Doi: https://doi.org/10.1055/s-0032-1331757
    » https://doi.org/10.1055/s-0032-1331757
  • 16
    Prampero PE. The energy cost of human locomotion on Land and in Water. IntJ Sport Med 1986;7:55-72. Doi: https://doi.org/10.1055/s-2008-1025736
    » https://doi.org/10.1055/s-2008-1025736
  • 17
    Wiesner S. Birkenfeld AL. Engeli S. Haufe S. Brechtel L. Wein J. et al. Neurohumoral and Metabolic Response to Activity in Water. Horm Metab Res 2010;42(05):334-9. Doi: https://doi.org/10.1055/s-0030-1248250
    » https://doi.org/10.1055/s-0030-1248250
  • 18
    Karner-Rezek K. Knechtle B. Fenzl M. Gredig J. Rosemann T. Does continuous endurance activity in water elicit a higher release of ANP and BNP and a higher plasma concentration of FFAs in pre-obese and obese men than high intensity intermittent endurance activity? - Study protocol for a randomized controlled trial. Trials2013;14(1):328. Doi: https://doi.org/10.1186/1745-6215-14-328
    » https://doi.org/10.1186/1745-6215-14-328
  • 19
    Abadi FH. Elumalai G. Sankaraval M. Ramli FABM. Effects of Aqua-aerobic activity on the cardiovascular fitness and weight loss among obese students. Int J Physiother 2017 4(5):278-83. Doi: https://doi.org/10.15621/ijphy/2017/v4i5/159422
    » https://doi.org/10.15621/ijphy/2017/v4i5/159422
  • 20
    Schaun GZ. Pinto SS. Praia ABC. Alberton CL. Energy expenditure and EPOC between water-based high-intensity interval training and moderate-intensity continuous training sessions in healthy women. J Sports Sci2018;36(18):2053-60. Doi: https://doi.org/10.1080/02640414.2018.1435967
    » https://doi.org/10.1080/02640414.2018.1435967
  • 21
    Onis M. Onyango AW. Borghi E. Siyam A. Nishida C. Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Or 2007;85(09):660-7. Doi: https://doi.org/10.2471/blt.07.043497
    » https://doi.org/10.2471/blt.07.043497
  • 22
    Fernández JR. Bohan Brown M. López-Alarcón M. Dawson JA. Guo F. Redden DT. et al. Changes in pediatric waist circumference percentiles despite reported pediatric weight stabilization in the United States. Pediatr Obes 2017;12(5):347-55. Doi: http://doi.wiley.com/10.1111/ijpo.12150
    » https://doi.org/10.1111/ijpo.12150
  • 23
    Taylor RW. Jones IE. Williams SM. Goulding A. Evaluation of waist circumference. waist-to-hip ratio. and the conicity index as screening tools for high trunk fat mass. as measured by dual-energy X-ray absorptiometry. in children aged 3-19 y. Am J Clin Nutr 2000;72(2):490-5. Doi: https://doi.org/10.1093/ajcn/72.2.490
    » https://doi.org/10.1093/ajcn/72.2.490
  • 24
    McCarthy HD. Ashwell M. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message - ‘keep your waist circumference to less than half your height’. Int J Obes 2006;30(6):988-92. Dois: https://doi.org/10.1038/sj.ijo.0803226
    » https://doi.org/10.1038/sj.ijo.0803226
  • 25
    Morris NM. Udry J JR. Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc 1980;9(3):271-80. Doi: https://doi.org/10.1007/bf02088471
    » https://doi.org/10.1007/bf02088471
  • 26
    Tanner JM. Normal growth and techniques of growth assessment. Clin Endocrinol Metab 1986;15(3):411-51. Doi: https://doi.org/10.1016/s0300-595x(86)80005-6
    » https://doi.org/10.1016/s0300-595x(86)80005-6
  • 27
    Katon JG. Flores YN. Salmerón J. Sexual maturation and metabolic profile among adolescents and children of the Health Worker Cohort Study in Mexico. Salud Publica Mex2009;51(3):219-26. Doi: https://doi.org/10.1590/s0036-36342009000300012
    » https://doi.org/10.1590/s0036-36342009000300012
  • 28
    Oliveira S. Oliveira S L. Menezes RK. Miranda LG. Pedrosa HC. Prestes J. Análise da força de preensão manual e risco cardiovascular de adolescentes com diabetes melitos Tipo 1. Rev Bras Ciência e Mov 2016;24(2):5-14. Doi: http://dx.doi.org/10.18511/rbcm.v24i2.5876
    » https://doi.org/10.18511/rbcm.v24i2.5876
  • 29
    Sheehan JM. Rowland TW. Burke EJ. A comparison of four treadmill protocols for determination of maximum oxygen uptake in 10- to 12-year-old boys. Int J Sports Med 1987;8(1):31-4. Doi: https://doi.org/10.1055/s-2008-1025636
    » https://doi.org/10.1055/s-2008-1025636
  • 30
    Tanaka H. Monahan KD. Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol 2001;37(1):153-6. Doi: https://doi.org/10.1016/s0735-1097(00)01054-8
    » https://doi.org/10.1016/s0735-1097(00)01054-8
  • 31
    McGuigan, MR; Dayel, AA; Tod, D; Foster, C; Newton, RU; Pettigrew, S. Use of session rating of perceived exertion for monitoring resistance activity in children Who Are Overweight or Obese. Pediatr Exerc Sci2008;20(3):333-41. Doi: https://doi.org/10.1123/pes.20.3.333
    » https://doi.org/10.1123/pes.20.3.333
  • 32
    Bento, PCB,; Lopes, MDFA; Leite, N. Resposta da freqüência cardíaca em repouso e durante teste incremental máximo. realizado em meio terrestre ou aquático. Rev Educ Fís 2009;20(4):597-605. Doi: 10.4025/reveducfis.v20i4.6335
    » https://doi.org/10.4025/reveducfis.v20i4.6335
  • 33
    Alberton, CL; Pinto, SS; Gorski, T; Antunes, AH; Finatto, P; Cadore, EL; et al. Rating of perceived exertion in maximal incremental tests during head-out water-based aerobic activitys. J Sports Sci2016;34(18):1691-8. Doi: https://doi.org/10.1080/02640414.2015.1134804
    » https://doi.org/10.1080/02640414.2015.1134804
  • 34
    Dias, KA; Coombes, JS; Green, DJ; Gomersall, SR; Keating, SE; Tjonna, AE; et al. Effects of activity intensity and nutrition advice on myocardial function in obese children and adolescents: a multicentre randomised controlled trial study protocol. BMJ Open 2016;6(4):e010929. Doi: http://dx.doi.org/10.1136/
    » https://doi.org/10.1136/
  • 35
    Tjønna, AE; Stølen, TO; Bye, A; Volden, M; Slørdahl, SA; Ødegård, R; et al. Aerobic interval training reduces cardiovascular risk factors more than a multitreatment approach in overweight adolescents. Clin Sci 2009;116(4):317-26. Doi: https://doi.org/10.1042/cs20080249
    » https://doi.org/10.1042/cs20080249
  • 36
    Rebold, MJ; Mallory, S; Kobak, A; Otterstetter, R; The Influence of a Tabata Interval training program using an aquatic underwater treadmill on various performance variables. J Strength Cond Res 2013;27(12):3419-25. Doi: https://doi.org/10.1519/jsc.0b013e3182908a09
    » https://doi.org/10.1519/jsc.0b013e3182908a09
  • 37
    Dias, KA; Ingul, CB; Tjønna, AE; Keating, SE , SR; Follestad, T; et al. Effect of High-Intensity Interval Training on Fitness. Fat Mass and Cardiometabolic Biomarkers in Children with Obesity: A Randomised Controlled Trial. Sport Med2018;48(3):733-46. Doi: https://doi.org/10.1007/s40279-017-0777-0
    » https://doi.org/10.1007/s40279-017-0777-0
  • 38
    Becker BE. Aquatic therapy: scientific foundations and clinical rehabilitation applications. PM&R 2009;1(9):859-72. Doi: https://doi.org/10.1016/j.pmrj.2009.05.017
    » https://doi.org/10.1016/j.pmrj.2009.05.017
  • 39
    Gleim GW. Nicholas JA. Metabolic costs and heart rate responses to treadmill walking in water at different deptHGS and temperatures. Am J Sports Med1989;17(2):248-52. Doi: https://doi.org/10.1177/036354658901700216
    » https://doi.org/10.1177/036354658901700216
  • 40
    Srinivasan SR. Frontini MG. Xu J. Berenson GS. Utility of childhood non-high-density lipoprotein cholesterol levels in predicting adult dyslipidemia and other cardiovascular risks: The Bogalusa Heart Study. Pediatrics2006;118(1):201-6. Doi: https://doi.org/10.1542/peds.2005-1856
    » https://doi.org/10.1542/peds.2005-1856

Publication Dates

  • Publication in this collection
    05 Jan 2022
  • Date of issue
    2021

History

  • Received
    06 Dec 2019
  • Reviewed
    28 May 2020
  • Accepted
    28 July 2020
Universidade Estadual de Maringá Avenida Colombo, 5790 - cep: 87020-900 - tel: 44 3011 4315 - Maringá - PR - Brazil
E-mail: revdef@uem.br