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Prediction equation of peak oxygen uptake for the modified shuttle test in healthy adolescents

Equação de predição do consumo máximo de oxigênio para o shuttle test modificado em adolescentes saudáveis

Ecuación de predicción del consumo máximo de oxígeno para el shuttle test modificado en adolescentes sanos

ABSTRACT

Given the gap in the literature regarding the peak of oxygen consumption (VO2peak) for adolescents of both sexes, this study aimed to propose an equation to predict the VO2peak in healthy adolescents using the Modified Shuttle Test (MST). This is a cross-sectional study with 84 healthy adolescents between 12 and 18 years old, female and male. The MST is an external paced test, in which the speed increases at each minute. Two MST were performed with at least 30 minutes of rest between them. The test with the longest walked distance was considered for analysis. VO2 was directly monitored by an open circuit spirometry. Mean age was 14.67±1.82 and the walked distance was 864.86±263.48m. Variables included in the prediction equation were walked distance and sex, explaining the VO2peak variability of 53% during MST performance. The prediction equation for VO2peak with the MST was: predicted VO2peak=18.274+(0.18×Distance Walked, meters)+(7.733×Sex); R2=0.53 and p<0.0001 (sex: 0 for girls, 1 for boys). This MST equation, proposed to predict VO2peak in healthy adolescents of both sexes, can be used as a reference to assess exercise capacity in healthy adolescents and to investigate cardiopulmonary function in adolescents with reduced functional capacity.

Keywords:
Oxygen Consumption; Modified Shuttle Test; Functional Capacity; Adolescent

RESUMO

Dada a lacuna na literatura quanto à equação de predição do pico de consumo de oxigênio (VO2) para adolescentes de ambos os sexos, o objetivo deste estudo é propor uma equação para predizer o VO2pico em adolescentes saudáveis utilizando o shuttle test modificado (MST). Trata-se de um estudo transversal realizado com 84 adolescentes saudáveis entre 12 e 18 anos, do sexo feminino e masculino. O MST é um teste de campo ditado por um sinal sonoro que indica o aumento da velocidade a cada minuto. Dois MSTs foram realizados com pelo menos 30 minutos de descanso entre eles. O teste com a maior distância percorrida foi o considerado para análise. O VO2 foi monitorado diretamente por uma espirometria de circuito aberto. A média de idade foi de 14,67±1,82 anos, e a de distância percorrida foi de 864,86±263,48m. As variáveis incluídas na equação de predição foram distância percorrida e sexo, que explicaram 53% da variabilidade do VO2pico durante a realização do MST. A equação de referência para o VO2pico previsto com o MST foi VO2pico predito=18,274+(0,18×Distância percorrida, em metros)+(7,733×Sexo); R2=0,53 e p<0,0001 (sexo: 0 para meninas, 1 para meninos). A equação do MST proposta para predizer o VO2pico em adolescentes saudáveis de ambos os sexos pode ser usada como referência para avaliar a capacidade de exercício em adolescentes saudáveis e investigar a função cardiopulmonar em adolescentes com capacidade funcional reduzida.

Descritores:
Consumo de Oxigênio; Shuttle Test Modificado; Capacidade Funcional; Adolescente

RESUMEN

Dada una laguna en la literatura con respecto a la ecuación para predecir el consumo máximo de oxígeno (VO2) en adolescentes de ambos sexos, el objetivo de este estudio es proponer una ecuación para predecir el VO2máximo en adolescentes sanos usando el shuttle test modificado (MST). Se trata de un estudio transversal, realizado con 84 adolescentes sanos con edades entre 12 y 18 años, de ambos sexos. El MST es una prueba de campo dictada por una señal sonora que indica el aumento de velocidad cada minuto. Se realizaron dos MST con al menos 30 minutos de descanso entre ellos. Para el análisis se consideró la prueba con mayor distancia recorrida. El monitoreo del VO2 fue realizado directamente por espirometría de circuito abierto. La edad media fue de 14,67±1,82 años; y la distancia recorrida, de 864,86±263,48m. Las variables incluidas en la ecuación de predicción fueron la distancia recorrida y el sexo, que explicaron el 53% de la variabilidad del VO2máximo durante la realización del MST. La ecuación de referencia para el VO2máximo predicho con el MST fue VO2máximo previsto=18,274+(0,18×Distancia recorrida, en metros)+(7,733×Sexo); R2=0,53 y p<0,0001 (sexo: 0 para chicas, 1 para chicos). La ecuación MST propuesta para predecir el VO2máximo en adolescentes sanos de ambos sexos puede utilizarse como una referencia para evaluar la capacidad de ejercicio en adolescentes sanos y para investigar la función cardiopulmonar en adolescentes con capacidad funcional reducida.

Palabras clave:
Consumo de Oxígeno; Shuttle Test Modificado; Capacidad Funcional; Adolescente

INTRODUCTION

Functional capacity has been evaluated in clinical practices to provide parameters for the prescription and elaboration of exercise programs, with information about exercise tolerance under different health conditions and prognosis of morbidity and mortality11. Nici L, Donner C, Wouters E, Zuwallack R, Ambrosino N, Bourbeau J, et al. American Thoracic Society/European Respiratory Society statement on pulmonary rehabilitation. Am J Respir Crit Care Med. 2006;173(12):1390-413. doi: 10.1164/rccm.200508-1211ST.
https://doi.org/10.1164/rccm.200508-1211...
),(22. Palange P, Ward SA, Carlsen KH, Casaburi R, Gallagher CG, Gosselink R, et al. Recommendations on the use of exercise testing in clinical practice. Eur Respir J. 2007;29(1):185-209. doi: 10.1183/09031936.00046906.
https://doi.org/10.1183/09031936.0004690...
.

Cardiopulmonary exercise tests with direct analysis of oxygen consumption are the gold standard to measure functional capacity33. American Thoracic Society; American College of Chest Physicians. ATS/ACCP statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2003;167(2):211-77. doi: 10.1164/rccm.167.2.211.
https://doi.org/10.1164/rccm.167.2.211...
. However, the analysis requires high costs, specialized laboratory, and trained professionals. Moreover, simple and secure field tests with reference equations are widely used to assess the functional capacity and predict peak oxygen uptake (VO2peak). Due to its easy applicability and execution, the modified version of the Shuttle Test (MST)44. Bradley J, Howard J, Wallace E, Elborn S. Reliability, repeatability, and sensitivity of the modified shuttle test in adult cystic fibrosis. Chest. 2000;117(6):1666-71. doi: 10.1378/chest.117.6.1666.
https://doi.org/10.1378/chest.117.6.1666...
started to be implemented in different health conditions55. Verschuren O, Bosma L, Takken T. Reliability of a shuttle run test for children with cerebral palsy who are classified at Gross Motor Function Classification System level III. Dev Med Child Neurol. 2011;53(5):470-2. doi: 10.1111/j.1469-8749.2010.03893.x.
https://doi.org/10.1111/j.1469-8749.2010...
)-(77. Sperandio EF, Vidotto MC, Alexandre AS, Yi LC, Gotfryd AO, Dourado VZ. Functional exercise capacity, lung function and chest wall deformity in patients with adolescent idiopathic scoliosis. Fisioter Mov. 2015;28(3):563-72. doi: 10.1590/0103-5150.028.003.ao15.
https://doi.org/10.1590/0103-5150.028.00...
and in healthy individuals88. Vardhan V, Palekar T, Dhuke P, Baxi G. Normative values of incremental shuttle walk test in children and adolescents: an observational study. Int J Pharma Bio Sci. 2017;8(4):478-83. doi: 10.22376/ijpbs.2017.8.4.b478-483.
https://doi.org/10.22376/ijpbs.2017.8.4....
.

The use of MST to assess the functional capacity in children with chronic diseases or in healthy conditions is already well established in literature99. Lanza FC, Zagatto EP, Silva JC, Selman JPR, Imperatori TBG, Zanatta DJM, et al. Reference equation for the incremental shuttle walk test in children and adolescents. J Pediatr. 2015;167(5):1057-61. doi: 10.1016/j.jpeds.2015.07.068.
https://doi.org/10.1016/j.jpeds.2015.07....
. Previous studies described different reference equations to predict the walking distance or the VO2peak of children and adolescents during the MST, as well as of patients with cystic fibrosis1010. Vendrusculo FM, Heinzmann-Filho JP, Campos NE, Gheller MF, Almeida IS, Donadio MVF. Prediction of peak oxygen uptake using the modified shuttle test in children and adolescents with cystic fibrosis. Pediatr Pulmonol. 2019;54(4):386-92. doi: 10.1002/ppul.24237.
https://doi.org/10.1002/ppul.24237...
, asthma1111. Lanza FC, Reimberg MM, Ritti-Dias R, Scalco RS, Wandalsen GF, Sole D, et al. Validation of the modified shuttle test to predict peak oxygen uptake in youth asthma patients under regular treatment. Front Physiol. 2018;9:919. doi: 10.3389/fphys.2018.00919.
https://doi.org/10.3389/fphys.2018.00919...
, and adolescents with obesity1212. Assumpção PK, Heinzmann-Filho JP, Isaia HA, Holzschuh F, Dalcul T, Donadio MVF. Exercise capacity assessment by the Modified Shuttle Walk Test and its correlation with biochemical parameters in obese children and adolescents. Indian J Pediatr. 2018;85(12):1079-85. doi: 10.1007/s12098-018-2649-5.
https://doi.org/10.1007/s12098-018-2649-...
.

Although previous studies described an equation to predict the VO2peak of healthy adolescents, the inclusion criteria were restricted to male adolescents1313. Gomes AL, Mendonça VA, Silva TS, Pires CKV, Lima LP, Gomes AM, et al. Correction: cardiorespiratory and metabolic responses and reference equation validation to predict peak oxygen uptake for the incremental shuttle waking test in adolescent boys. PLoS One. 2018;13(12):e0208826. doi: 10.1371/journal.pone.0208826.
https://doi.org/10.1371/journal.pone.020...
. Thus, there is a gap regarding the VO2peak prediction equation for adolescents of both sexes. Therefore, this study sought to propose an equation to predict the peak of oxygen consumption (VO2peak) in healthy adolescents using the Modified Shuttle Test (MST).

METHODOLOGY

Design and participants of the study

This is a cross-sectional study from secondary data, which included healthy adolescents, from public and private schools in the city of Diamantina/MG and the children of the employees of the Universidade Nove de Julho (UNINOVE, São Paulo/SP, Brazil). Data were collected from April 2013 to May 2014 in UNINOVE, and from February 2018 to August 2019 in the Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM, Diamantina/MG, Brazil). The written informed assent was obtained from adolescents and the written informed consent was obtained from 18 years old participants and from parent or guardian of UNINOVE and UFVJM.

Inclusion criteria were adolescents from 12 to 18 years old and full term birth (>37 weeks of gestation). Exclusion criteria were any health condition that could interfere with performing a physical exercise (informed via parents’ report), e.g., any chronic or acute neurological, orthopedic, respiratory, cardiac, or endocrine disease. Moreover, adolescents who misunderstood the test and reported practicing regular physical exercise more than twice a week were also excluded.

Protocol of the study

All assessments were obtained during two visits at the Exercise Physiology Laboratory of the Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina/MG, Brazil, and at the Physiology Laboratory of the Universidade Nove de Julho, São Paulo/SP, Brazil, by trained researchers. On the first day, the familiarization with the test was carried out and the corporal composition was evaluated. For this assessment, the volunteers’ weight and height were measured with a platform mechanical scale (110 F, Welmy, São Paulo, Brazil) accurate to 0.1kg and the body mass index (BMI) was estimated as weight÷height22. Palange P, Ward SA, Carlsen KH, Casaburi R, Gallagher CG, Gosselink R, et al. Recommendations on the use of exercise testing in clinical practice. Eur Respir J. 2007;29(1):185-209. doi: 10.1183/09031936.00046906.
https://doi.org/10.1183/09031936.0004690...
),(1414. Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL. Indices of relative weight and obesity. J Chronic Dis. 1972;25(6-7):329-43. doi: 10.1016/0021-9681(72)90027-6.
https://doi.org/10.1016/0021-9681(72)900...
. On the second day, two MST were performed with at least 30 minutes of rest between tests.

Modified shuttle test

MST was carried out on a flat ground, repeatedly covering 10m around a marking of two cones, placed 0.5m from each endpoint. The walking (or running) speed required for the participant was dictated by a beep played from a sound box. At every minute the walking speed was increased by 0.17m/s. The test finished when the adolescent was unable to reach the extremities two consecutive times, that is, if the individual needed to stop due to fatigue or breathlessness. As suggested by the literature, we used the modified protocol of 15 levels (1,500m)1515. Bradley J, Howard J, Wallace E, Elborn S. Validity of a modified shuttle test in adult cystic fibrosis. Thorax. 1999;54(5):437-9. doi: 10.1136/thx.54.5.437.
https://doi.org/10.1136/thx.54.5.437...
to evaluate healthy participants, thus the volunteers could walk and run if they were able to. During the test, laps were recorded and the total distance walked was measured in meters99. Lanza FC, Zagatto EP, Silva JC, Selman JPR, Imperatori TBG, Zanatta DJM, et al. Reference equation for the incremental shuttle walk test in children and adolescents. J Pediatr. 2015;167(5):1057-61. doi: 10.1016/j.jpeds.2015.07.068.
https://doi.org/10.1016/j.jpeds.2015.07....
.

Tests were performed two times with at least 30 minutes of rest between them. The best test, the one with the longest distance walked, was considered for analysis. A third test was performed when the difference between tests was greater than 40m1515. Bradley J, Howard J, Wallace E, Elborn S. Validity of a modified shuttle test in adult cystic fibrosis. Thorax. 1999;54(5):437-9. doi: 10.1136/thx.54.5.437.
https://doi.org/10.1136/thx.54.5.437...
.

Cardiorespiratory measurements

All procedures were performed by trained professionals. The heart rate was measured continuously by a cardiac monitor (POLAR RS800sd) and the blood pressure was measured by a mercury sphygmomanometer cuff and stethoscope, at the beginning and at the end of the test. The heart rate was registered as absolute value and as percentage of the maximum predicted value (HRmax). The maximum predicted HR was estimated as 208 (0.7×age)1616. Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol. 2001;37(1):153-6. doi: 10.1016/S0735-1097(00)01054-8.
https://doi.org/10.1016/S0735-1097(00)01...
.

VO2 was continuously monitored via direct analyzes by an open circuit spirometry (telemetry system of the K4b2® gas analyzer) (Cosmed, Rome, Italy) or VO2000 (MedGraphics Corporation®, St. Paul, MN, USA). The individuals breathed while wearing the face mask of the device. Collected data was transferred by radio to a computer near the test site. At the end of the test, the VO2peak was used for analyzes. VO2 peak rate (mL/min) was expressed as relative rate (mL/kg/min).

Statistical analysis

Statistical analysis was performed with SPSS statistical package version 25 (Chicago, Illinois). Shapiro-Wilk test was used to verify the normality of the data. Data showed parametric distribution and were expressed as mean±standard deviation (SD). Pearson correlation coefficient was used in the independent variables (distance walked, weight, age, height, BMI) and in the dependent variable (VO2 peak), to select independent variables for the multiple regression analysis (stepwise) and to develop the predictive equation. The categorical variable sex was dichotomized, with boys equal to 0 and girls equal to 1, thus enabling the use Pearson’s correlation with the dependent variable VO2peak. Multicollinearity between independent variables was tested in this model. The conditional interaction between distance walked and sex was also tested. The difference in the distance walked between boys and girls was analyzed using an independent-sample t-test. The probability of a type I error was established as 0.05 for all tests.

Sample size calculation

Sample size was estimated with the equation: N>50+(8×m), where m was the number of independent variables included in the final equation1717. Lima LP, Leite HR, Matos MA, Neves CDC, Lage VKS, Silva GP, et al. Cardiorespiratory fitness assessment and prediction of peak oxygen consumption by Incremental Shuttle Walking Test in healthy women. PLoS One. 2019;14(2):e0211327. doi: 10.1371/journal.pone.0211327.
https://doi.org/10.1371/journal.pone.021...
. A minimal sample of 66 individuals was included with α=0.05 and β=0.2. Considering that other possible correlations were evaluated, we decided to include more subjects. The sample size was estimated with the minimum of two independent variables that would be included in the final VO2peak equation. Our sample consisted of 84 individuals reaching more than the minimum number of individuals for a model with two independent variables.

RESULTS

In total, 84 individuals-34 girls and 50 boys-participated in this study. Table 1 shows the characteristics of the individuals. Boys reached greater distances during MST compared to girls (934.94m±281.46 m vs 761.80m±196.43 m, respectively, p=0.003). Moreover, boys reached higher values of VO2peak (boys: 42±8.26 mL/kg/min and girls: 32.10±7.42mL/kg/min, p<0.0001) and predicted percentage for the HR(max) (boys: 95.21±6.98 % and girls: 87.32±8.78 %) when compared to girls (p<0.0001).

Table 1
Characteristics of the participants

We found a significant correlation between VO2peak and distance walked (r=0.63; p<0.001) and sex (r=0.56; p<0.001). There was no significant correlation with weight (r=−0.26; p=0.40), age (r=0.81; p=0.22), height (r=0.90; p=0.20), and BMI (r=−1.13; p=0.118).

Walked distance and sex explained 53% (R2=0.53, p<0.0001) of the variance in VO2peak with a model of stepwise linear multiple regressions (Table 2). There was no multicollinearity between variables since interactions between variables did not persist in the final model.

Table 2
Predictor variables from multiple linear regression analysis for distance walked in the Modified Shuttle Test

The VO2peak reference equation based on the MST performance for health adolescents is: predicted VO2peak=18.274+(0.18×Distance Walked, meters)+(7.733×Sex); R2=0.53 and p<0.0001 (sex: 0 for girls, 1 for boys).

DISCUSSION

Direct analysis of VO2 can be unfeasible for clinical practice, thus this study developed a reference equation to predict the VO2peak of adolescents of both sexes during the modified MST. Our data showed that, together, walked distance and sex explained 53% of the variance in VO2peak.

Previous data of our group study showed that in healthy male adolescents only the distance walked explained the variation of 43% of the VO2peak during the MST1313. Gomes AL, Mendonça VA, Silva TS, Pires CKV, Lima LP, Gomes AM, et al. Correction: cardiorespiratory and metabolic responses and reference equation validation to predict peak oxygen uptake for the incremental shuttle waking test in adolescent boys. PLoS One. 2018;13(12):e0208826. doi: 10.1371/journal.pone.0208826.
https://doi.org/10.1371/journal.pone.020...
. Walked distance is the main measure outcome of the MST, thus the better the cardiorespiratory performance, the greater the walked distance. Therefore, the VO2peak is significantly correlated and influenced by walking distance1818. Dourado VZ, Guerra RLF. Reliability and validity of heart rate variability threshold assessment during an incremental shuttle-walk test in middle-aged and older adults. Braz J Med Biol Res. 2013;46(2):194-9. doi: 10.1590/1414-431X20122376.
https://doi.org/10.1590/1414-431X2012237...
),(1919. Dourado VZ, Banov MC, Marino MC, Souza VL, Antunes LCO, McBurnie MA. A simple approach to assess VT during a field walk test. Int J Sports Med. 2010;31(10):698-703. doi: 10.1055/s-0030-1255110.
https://doi.org/10.1055/s-0030-1255110...
. These results corroborate with previous studies that also demonstrated the influence of the walked distance in the prediction of VO2peak in the MST of adults and children and adolescents with cystic fibrosis1010. Vendrusculo FM, Heinzmann-Filho JP, Campos NE, Gheller MF, Almeida IS, Donadio MVF. Prediction of peak oxygen uptake using the modified shuttle test in children and adolescents with cystic fibrosis. Pediatr Pulmonol. 2019;54(4):386-92. doi: 10.1002/ppul.24237.
https://doi.org/10.1002/ppul.24237...
and asthma1111. Lanza FC, Reimberg MM, Ritti-Dias R, Scalco RS, Wandalsen GF, Sole D, et al. Validation of the modified shuttle test to predict peak oxygen uptake in youth asthma patients under regular treatment. Front Physiol. 2018;9:919. doi: 10.3389/fphys.2018.00919.
https://doi.org/10.3389/fphys.2018.00919...
.

As expected, sex was also included in the VO2peak prediction equation. In this study, boys walked more than girls. The sex difference has been described as a factor that can influence changes in body composition, showing the importance of including these variables in a prediction equation for adolescents. Boys have much greater increase in lean body tissue and less body fat during puberty. These factors, associated with hormonal issues2020. Rogol AD. Sex steroids, growth hormone, leptin and the pubertal growth spurt. Endocr Dev. 2010;17:77-85. doi: 10.1159/000262530.
https://doi.org/10.1159/000262530...
can benefit the performance condition of the male sex compared to the female sex.

Menarche is related to body composition, chemical exposure, and insulin resistance in girls2121. Anderson SE, Must A. Interpreting the continued decline in the average age at menarche: results from two nationally representative surveys of U.S. girls studied 10 years apart. J Pediatr. 2005;147(6):753-60. doi: 10.1016/j.jpeds.2005.07.016.
https://doi.org/10.1016/j.jpeds.2005.07....
)-(2323. Slyper AH. The pubertal timing controversy in the USA, and a review of possible causative factors for the advance in timing of onset of puberty. Clin Endocrinol (Oxf). 2006;65(1):1-8. doi: 10.1111/j.1365-2265.2006.02539.x.
https://doi.org/10.1111/j.1365-2265.2006...
. The growth period starts earlier in girls, whereas for boys it lasts longer2424. Aksglaede L, Olsen LW, Sørensen TIA, Juul A. Forty years trends in timing of pubertal growth spurt in 157,000 Danish school children. PLoS One. 2008;3(7):e2728. doi: 10.1371/journal.pone.0002728.
https://doi.org/10.1371/journal.pone.000...
),(2525. Kelly A, Winer KK, Kalkwarf H, Oberfield SE, Lappe J, Gilsanz V, et al. Age-based reference ranges for annual height velocity in US children. J Clin Endocrinol Metab. 2014;99(6):2104-12. doi: 10.1210/jc.2013-4455.
https://doi.org/10.1210/jc.2013-4455...
. The difference between fat-free mass, lean mass, and percentage of body fat is more noticeable in adolescence, when girls have a higher percentage of body fat than boys and boys have a greater amount of fat-free mass2020. Rogol AD. Sex steroids, growth hormone, leptin and the pubertal growth spurt. Endocr Dev. 2010;17:77-85. doi: 10.1159/000262530.
https://doi.org/10.1159/000262530...
. Healthy girls show a decrease in bone mass around the age of 162626. Theintz G, Buchs B, Rizzoli R, Slosman D, Clavien H, Sizonenko PC, et al. Longitudinal monitoring of bone mass accumulation in healthy adolescents: evidence for a marked reduction after 16 years of age at the levels of lumbar spine and femoral neck in female subjects. J Clin Endocrinol Metab. 1992;75(4):1060-5. doi: 10.1210/jcem.75.4.1400871.
https://doi.org/10.1210/jcem.75.4.140087...
. Before 14 years of age, boys and girls differ little in their performance on a variety of motor tasks, including running speed. With puberty, much greater differences occur in neuromuscular responses and explosive activities, mainly due to a plateau in girls’ performance2727. Eisenmann JC, Malina RM. Age- and sex-associated variation in neuromuscular capacities of adolescent distance runners. J Sports Sci. 2003;21(7):551-7. doi: 10.1080/0264041031000101845.
https://doi.org/10.1080/0264041031000101...
.

However, the measures of BMI did not influence the VO2peak in this study. Our data showed no difference between boys’ and girls’ height and weight and, consequently, BMI. Different variables such lean body mass and body fat could be analyzed to verify difference between sex and a prediction equation; however, this would be less feasible since these variables are more complicate to evaluate than sex and walked distance. Normal body composition was not correlated to VO2peak, even with studies showing that being overweight affects functional capacity2828. Pate RR, Wang CY, Dowda M, Farrell SW, O'Neill JR. Cardiorespiratory fitness levels among US youth 12 to 19 years of age: findings from the 1999-2002 National Health and Nutrition Examination Survey. Arch Pediatr Adolesc Med. 2006;160(10):1005-12. doi: 10.1001/archpedi.160.10.1005.
https://doi.org/10.1001/archpedi.160.10....
),(2929. Castro-Piñeiro J, Ortega FB, Keating XD, González-Montesinos JL, Sjöstrom M, Ruiz JR. Percentile values for aerobic performance running/walking field tests in children aged 6 to 17 years; influence of weight status. Nutr Hosp. 2011;26(3):572-8. doi: 10.3305/nh.2011.26.3.4597.
https://doi.org/10.3305/nh.2011.26.3.459...
.

Moreover, age did not influence the prediction of VO2peak, since a stabilization of aerobic performance occurs in youth. Adolescents’ performance improves linearly with age and tends to achieve a plateau when they are 14 years old2828. Pate RR, Wang CY, Dowda M, Farrell SW, O'Neill JR. Cardiorespiratory fitness levels among US youth 12 to 19 years of age: findings from the 1999-2002 National Health and Nutrition Examination Survey. Arch Pediatr Adolesc Med. 2006;160(10):1005-12. doi: 10.1001/archpedi.160.10.1005.
https://doi.org/10.1001/archpedi.160.10....
),(3030. Olds T, Tomkinson G, Léger L, Cazorla G. Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries. J Sports Sci. 2006;24(10):1025-38. doi: 10.1080/02640410500432193.
https://doi.org/10.1080/0264041050043219...
. In this study, the average age for both sexes was over 14 years old and the data were homogeneous and did not influence in the VO2peak.

In a previous study, other independent variables were used in a different proposed equation for the six-minute walk test, including percentage of heart rate and forced expiratory volume in the first second1818. Dourado VZ, Guerra RLF. Reliability and validity of heart rate variability threshold assessment during an incremental shuttle-walk test in middle-aged and older adults. Braz J Med Biol Res. 2013;46(2):194-9. doi: 10.1590/1414-431X20122376.
https://doi.org/10.1590/1414-431X2012237...
, which seems to be less feasible. The variables used in the present equation were sex and walked distance, two simple independent variables obtained during the assessment of rehabilitation.

This study included a group of sedentary adolescents, thus the equation might not apply in different populations.

CONCLUSION

In conclusion, an equation for the MST to predict VO2peak in healthy adolescents of both sexes was proposed. This equation is a feasible tool for clinical practice and can be used to assess exercise capacity in healthy adolescents and to investigate cardiopulmonary function in adolescents with reduced functional capacity.

ACKNOWLEDGMENT

The authors thank the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for financial support and scholarships.

REFERENCES

  • 1
    Nici L, Donner C, Wouters E, Zuwallack R, Ambrosino N, Bourbeau J, et al. American Thoracic Society/European Respiratory Society statement on pulmonary rehabilitation. Am J Respir Crit Care Med. 2006;173(12):1390-413. doi: 10.1164/rccm.200508-1211ST.
    » https://doi.org/10.1164/rccm.200508-1211ST
  • 2
    Palange P, Ward SA, Carlsen KH, Casaburi R, Gallagher CG, Gosselink R, et al. Recommendations on the use of exercise testing in clinical practice. Eur Respir J. 2007;29(1):185-209. doi: 10.1183/09031936.00046906.
    » https://doi.org/10.1183/09031936.00046906
  • 3
    American Thoracic Society; American College of Chest Physicians. ATS/ACCP statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2003;167(2):211-77. doi: 10.1164/rccm.167.2.211.
    » https://doi.org/10.1164/rccm.167.2.211
  • 4
    Bradley J, Howard J, Wallace E, Elborn S. Reliability, repeatability, and sensitivity of the modified shuttle test in adult cystic fibrosis. Chest. 2000;117(6):1666-71. doi: 10.1378/chest.117.6.1666.
    » https://doi.org/10.1378/chest.117.6.1666
  • 5
    Verschuren O, Bosma L, Takken T. Reliability of a shuttle run test for children with cerebral palsy who are classified at Gross Motor Function Classification System level III. Dev Med Child Neurol. 2011;53(5):470-2. doi: 10.1111/j.1469-8749.2010.03893.x.
    » https://doi.org/10.1111/j.1469-8749.2010.03893.x
  • 6
    Tsopanoglou SP, Davidson J, Goulart AL, Barros MCM, Santos AMN. Functional capacity during exercise in very-low-birth-weight premature children. Pediatr Pulmonol. 2014;49(1):91-8. doi: 10.1002/ppul.22754.
    » https://doi.org/10.1002/ppul.22754
  • 7
    Sperandio EF, Vidotto MC, Alexandre AS, Yi LC, Gotfryd AO, Dourado VZ. Functional exercise capacity, lung function and chest wall deformity in patients with adolescent idiopathic scoliosis. Fisioter Mov. 2015;28(3):563-72. doi: 10.1590/0103-5150.028.003.ao15.
    » https://doi.org/10.1590/0103-5150.028.003.ao15
  • 8
    Vardhan V, Palekar T, Dhuke P, Baxi G. Normative values of incremental shuttle walk test in children and adolescents: an observational study. Int J Pharma Bio Sci. 2017;8(4):478-83. doi: 10.22376/ijpbs.2017.8.4.b478-483.
    » https://doi.org/10.22376/ijpbs.2017.8.4.b478-483
  • 9
    Lanza FC, Zagatto EP, Silva JC, Selman JPR, Imperatori TBG, Zanatta DJM, et al. Reference equation for the incremental shuttle walk test in children and adolescents. J Pediatr. 2015;167(5):1057-61. doi: 10.1016/j.jpeds.2015.07.068.
    » https://doi.org/10.1016/j.jpeds.2015.07.068
  • 10
    Vendrusculo FM, Heinzmann-Filho JP, Campos NE, Gheller MF, Almeida IS, Donadio MVF. Prediction of peak oxygen uptake using the modified shuttle test in children and adolescents with cystic fibrosis. Pediatr Pulmonol. 2019;54(4):386-92. doi: 10.1002/ppul.24237.
    » https://doi.org/10.1002/ppul.24237
  • 11
    Lanza FC, Reimberg MM, Ritti-Dias R, Scalco RS, Wandalsen GF, Sole D, et al. Validation of the modified shuttle test to predict peak oxygen uptake in youth asthma patients under regular treatment. Front Physiol. 2018;9:919. doi: 10.3389/fphys.2018.00919.
    » https://doi.org/10.3389/fphys.2018.00919
  • 12
    Assumpção PK, Heinzmann-Filho JP, Isaia HA, Holzschuh F, Dalcul T, Donadio MVF. Exercise capacity assessment by the Modified Shuttle Walk Test and its correlation with biochemical parameters in obese children and adolescents. Indian J Pediatr. 2018;85(12):1079-85. doi: 10.1007/s12098-018-2649-5.
    » https://doi.org/10.1007/s12098-018-2649-5
  • 13
    Gomes AL, Mendonça VA, Silva TS, Pires CKV, Lima LP, Gomes AM, et al. Correction: cardiorespiratory and metabolic responses and reference equation validation to predict peak oxygen uptake for the incremental shuttle waking test in adolescent boys. PLoS One. 2018;13(12):e0208826. doi: 10.1371/journal.pone.0208826.
    » https://doi.org/10.1371/journal.pone.0208826
  • 14
    Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL. Indices of relative weight and obesity. J Chronic Dis. 1972;25(6-7):329-43. doi: 10.1016/0021-9681(72)90027-6.
    » https://doi.org/10.1016/0021-9681(72)90027-6
  • 15
    Bradley J, Howard J, Wallace E, Elborn S. Validity of a modified shuttle test in adult cystic fibrosis. Thorax. 1999;54(5):437-9. doi: 10.1136/thx.54.5.437.
    » https://doi.org/10.1136/thx.54.5.437
  • 16
    Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol. 2001;37(1):153-6. doi: 10.1016/S0735-1097(00)01054-8.
    » https://doi.org/10.1016/S0735-1097(00)01054-8
  • 17
    Lima LP, Leite HR, Matos MA, Neves CDC, Lage VKS, Silva GP, et al. Cardiorespiratory fitness assessment and prediction of peak oxygen consumption by Incremental Shuttle Walking Test in healthy women. PLoS One. 2019;14(2):e0211327. doi: 10.1371/journal.pone.0211327.
    » https://doi.org/10.1371/journal.pone.0211327
  • 18
    Dourado VZ, Guerra RLF. Reliability and validity of heart rate variability threshold assessment during an incremental shuttle-walk test in middle-aged and older adults. Braz J Med Biol Res. 2013;46(2):194-9. doi: 10.1590/1414-431X20122376.
    » https://doi.org/10.1590/1414-431X20122376
  • 19
    Dourado VZ, Banov MC, Marino MC, Souza VL, Antunes LCO, McBurnie MA. A simple approach to assess VT during a field walk test. Int J Sports Med. 2010;31(10):698-703. doi: 10.1055/s-0030-1255110.
    » https://doi.org/10.1055/s-0030-1255110
  • 20
    Rogol AD. Sex steroids, growth hormone, leptin and the pubertal growth spurt. Endocr Dev. 2010;17:77-85. doi: 10.1159/000262530.
    » https://doi.org/10.1159/000262530
  • 21
    Anderson SE, Must A. Interpreting the continued decline in the average age at menarche: results from two nationally representative surveys of U.S. girls studied 10 years apart. J Pediatr. 2005;147(6):753-60. doi: 10.1016/j.jpeds.2005.07.016.
    » https://doi.org/10.1016/j.jpeds.2005.07.016
  • 22
    Buttke DE, Sircar K, Martin C. Exposures to endocrine-disrupting chemicals and age of menarche in adolescent girls in NHANES (2003-2008). Environ Health Perspect. 2012;120(11):1613-8. doi: 10.1289/ehp.1104748.
    » https://doi.org/10.1289/ehp.1104748
  • 23
    Slyper AH. The pubertal timing controversy in the USA, and a review of possible causative factors for the advance in timing of onset of puberty. Clin Endocrinol (Oxf). 2006;65(1):1-8. doi: 10.1111/j.1365-2265.2006.02539.x.
    » https://doi.org/10.1111/j.1365-2265.2006.02539.x
  • 24
    Aksglaede L, Olsen LW, Sørensen TIA, Juul A. Forty years trends in timing of pubertal growth spurt in 157,000 Danish school children. PLoS One. 2008;3(7):e2728. doi: 10.1371/journal.pone.0002728.
    » https://doi.org/10.1371/journal.pone.0002728
  • 25
    Kelly A, Winer KK, Kalkwarf H, Oberfield SE, Lappe J, Gilsanz V, et al. Age-based reference ranges for annual height velocity in US children. J Clin Endocrinol Metab. 2014;99(6):2104-12. doi: 10.1210/jc.2013-4455.
    » https://doi.org/10.1210/jc.2013-4455
  • 26
    Theintz G, Buchs B, Rizzoli R, Slosman D, Clavien H, Sizonenko PC, et al. Longitudinal monitoring of bone mass accumulation in healthy adolescents: evidence for a marked reduction after 16 years of age at the levels of lumbar spine and femoral neck in female subjects. J Clin Endocrinol Metab. 1992;75(4):1060-5. doi: 10.1210/jcem.75.4.1400871.
    » https://doi.org/10.1210/jcem.75.4.1400871
  • 27
    Eisenmann JC, Malina RM. Age- and sex-associated variation in neuromuscular capacities of adolescent distance runners. J Sports Sci. 2003;21(7):551-7. doi: 10.1080/0264041031000101845.
    » https://doi.org/10.1080/0264041031000101845
  • 28
    Pate RR, Wang CY, Dowda M, Farrell SW, O'Neill JR. Cardiorespiratory fitness levels among US youth 12 to 19 years of age: findings from the 1999-2002 National Health and Nutrition Examination Survey. Arch Pediatr Adolesc Med. 2006;160(10):1005-12. doi: 10.1001/archpedi.160.10.1005.
    » https://doi.org/10.1001/archpedi.160.10.1005
  • 29
    Castro-Piñeiro J, Ortega FB, Keating XD, González-Montesinos JL, Sjöstrom M, Ruiz JR. Percentile values for aerobic performance running/walking field tests in children aged 6 to 17 years; influence of weight status. Nutr Hosp. 2011;26(3):572-8. doi: 10.3305/nh.2011.26.3.4597.
    » https://doi.org/10.3305/nh.2011.26.3.4597
  • 30
    Olds T, Tomkinson G, Léger L, Cazorla G. Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries. J Sports Sci. 2006;24(10):1025-38. doi: 10.1080/02640410500432193.
    » https://doi.org/10.1080/02640410500432193
  • Financing source: FAPEMIG, CAPES, CNPq - Conflict of interests: nothing to declare
  • 2
    Approved by the Research Ethics Committee: Opinion No. 483692/1557703.

Publication Dates

  • Publication in this collection
    17 Apr 2023
  • Date of issue
    2023

History

  • Received
    07 Sept 2022
  • Accepted
    13 Jan 2023
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E-mail: revfisio@usp.br