Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Cardiorespiratory and metabolic responses and reference equation validation to predict peak oxygen uptake for the incremental shuttle waking test in adolescent boys

  • Andreza L. Gomes ,

    Contributed equally to this work with: Andreza L. Gomes, Vanessa A. Mendonça, Hércules R. Leite

    Roles Conceptualization, Formal analysis, Methodology

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Vanessa A. Mendonça ,

    Contributed equally to this work with: Andreza L. Gomes, Vanessa A. Mendonça, Hércules R. Leite

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Writing – review & editing

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Tatiane dos Santos Silva ,

    Roles Data curation, Methodology

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Crislaine K. V. Pires ,

    Roles Data curation, Investigation

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Liliana P. Lima ,

    Roles Investigation, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Alcilene M. Silva ,

    Roles Conceptualization

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Ana Cristina R. Camargos ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology

    ‡ These authors also contributed equally to this work.

    Affiliations Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil, Escola de Educação Física, Fisioterapia e Terapia Ocupacional (EEFFTO), Departamento de Fisioterapia, Universidade Federal de Minas Gerais (UFMG), Diamantina, Minas Gerais, Brazil

  • Camila D. C. Neves ,

    Roles Conceptualization, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Ana C. R. Lacerda ,

    Roles Conceptualization, Project administration, Supervision

    ‡ These authors also contributed equally to this work.

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

  • Hércules R. Leite

    Contributed equally to this work with: Andreza L. Gomes, Vanessa A. Mendonça, Hércules R. Leite

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

    hercules.leite@ufvjm.edu.br

    Affiliation Programa de Pós-Graduação em Reabilitação e Desempenho Funcional, Departamento de Fisioterapia, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Campus JK, Alto da Jacuba, Diamantina, Minas Gerais, Brazil

Correction

12 Dec 2018: Gomes AL, Mendonça VA, Santos Silva Td, Pires CKV, P. Lima L, et al. (2018) 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 13(12): e0208826. https://doi.org/10.1371/journal.pone.0208826 View correction

Abstract

Background

Previous studies speculated that the Incremental Shuttle Walking Test (ISWT) is a maximal test in children and adolescents, however comparison between ISWT with cardiopulmonary exercise test has not yet performed. Furthermore, there is no regression equation available in the current literature to predict oxygen peak consumption (VO2 peak) in this population. This study aimed to assesses and correlate the cardiorespiratory responses of the ISWT with the cardiopulmonary exercise (CEPT) and to develop and validate a regression equation to predict VO2 peak in healthy sedentary adolescent boys.

Methods

Forty-one participants were included in the study. In the first stage, the VO2 peak, respiratory exchange ratio (R peak), heart rate max (HR max) and percentage of predicted HR max (% predicted HR max) were evaluated in CEPT and ISWT (n = 26). Second, an equation was developed (n = 29) to predict VO2 peak. In both phases, the VO2 peak, respiratory exchange ratio R and hearth rate (HR) were evaluated. In the third stage, the validation equation was performed by another 12 participants.

Results

Similar results in VO2 peak (P>0.05), R peak (P>0.05) and predicted maximum HR (P>0.05) were obtained between the ISWT and CEPT. Both tests showed moderate significant correlations of VO2 peak (r = 0.44, P = 0.002) e R peak (r = -0.53, P < 0.01), as well as the agreement of these measurements by Bland-Altman analysis (VO2 peak, bias = -0.13; R peak, bias = 0.0). Distance walked was the variable that explained 42.5% (R2 = 0.425, p = 0.0001) of the variance in VO2 peak. The equation was VO2 peak (predicted) = 20.94 + (0.02 x distance walked). The results obtained by the equation were not significantly different compared to the values obtained by the gas analyzer and the Bland-Altman analysis showed agreement (bias = 1.6).

Conclusion

The ISWT produced maximal cardiorespiratory responses comparable to the CEPT, and the developed equation showed viability for the prediction of VO2 peak in healthy sedentary adolescent boys.

Introduction

Assessment of functional capacity or cardiorespiratory fitness (CRF) is defined as the ability to perform a moderate to high intensity exercise involving large muscle groups over a period of time [1,2]. It is an important component of health related physical fitness, which reflects the functional capacities of the respiratory, cardiovascular and musculoskeletal systems [1]. The CRF assessment has been widely used in clinical practice and research aiming to provide parameters for physical activity prescription and to evaluate reduced exercise tolerance in several health conditions [35].

The performance of a cardiopulmonary exercise testing (CEPT) followed by the measurement of peak oxygen consumption (VO2 peak) through the direct analysis of exhaled gases is the most commonly reported procedure in the literature for the evaluation of CRF [6]. However, this measurement is often infeasible because its require high-cost equipment, specialized laboratory and trained professionals [7]. Thus, field test and prediction equation to indirect estimate VO2 peak in clinical practice has been widely implemented [2]. Among the field test, we highlight the Incremental Shuttle Walking Test (ISWT) developed by Sing et al., [8] which comprises as a simple incremental walk test with pace dictated by external stimulus which asses CRF based on distance walked. Despite being developed initially for individuals with chronic obstructive pulmonary disease [8], it has been used recently in different health conditions and age groups [5,9,10].

Some studies have used ISWT to asses CRF in children and adolescents with asthma [11], scoliosis [5] and very low premature newborn [10]. However, the application and intensity of this test in a healthy population is scarce. Lanza et al., [9] developed an equation to predict distance walked and also showed that the ISWT is a maximal test in a children and adolescent population determined indirectly by means of the maximum heart rate (HR max) achieved at the end of the test. On the other hand, Coelho et al. [12] demonstrated that a healthy control group of children and adolescents showed submaximal values of HR max in the ISWT. However, these authors fail to confirm the cardiorespiratory responses with the completion and comparison with the CEPT.

Taken together, there is a gap in the current literature regarding the ISWT intensity validation, as well as an equation to predict VO2 peak in the adolescent population. Thus, the present study aims to evaluate and correlate the cardiorespiratory outcomes during the ISWT and a CEPT, in order to classify the intensity of ISWT, and to develop and validate an equation to predict VO2 peak in healthy adolescent boys. We postulate that the ISWT would promote maximal cardiorespiratory responses in agreement with the CEPT, and the regression equation would be feasible for predicting VO2 peak in healthy adolescent boys.

Materials and methods

This was a cross-sectional study that included 41 healthy adolescent boys. They were recruited by convenience from private and public schools. The protocol began in July 2016 and ended in November 2017. All measurements were obtained in the physiology of exercise laboratory (UFVJM) by trained investigators. The parents were asked to report the health history of the subject (i.e., prematurity birth and current physical activity engagement and comorbidities). Thus, the inclusion criteria were as follows: male boys, ages 12–18 years old, absence of chronic or acute diseases, physical activity engagement less than three times a week, preterm birth and parents sign the consent form. The volunteers were excluded if they were unable to understand the test. To meet the objectives, this study was divided into three stages. The first stage aimed to evaluate the intensity of the ISWT; the second stage aimed to develop a regression for the prediction of VO2 peak; and the third stage to validate the prediction equation. This study followed the declaration of Helsinki. The Ethics and Research Committee of Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Brazil, approved this study (Protocol: 52980816.4.0000.5108). The following protocol description reproduces information already reported elsewhere [2].

First stage procedures

In the first stage, 26 volunteers went to the laboratory on three consecutive days at the same time period each day. On the first day, the body composition was assessed (weight, height, BMI) and familiarization was performed. The weight and height were measured on an anthropometric mechanical scale, the BMI was calculated as the weight divided by height squared [3]. Familiarization consisted of testing that would be performed on consecutive days to reduce the effect of learning. On the second and third days, the ISWT and CEPT were applied. The testing order was randomized and balanced. The subjects were instructed to avoid physical activity and any intake of caffeine in the 24 hours prior to testing, to get at least 8 hours of sleep the night before, to eat a light meal and to ingest 500 ml of water in two hours before the tests. On the days of testing subjects were asked about their compliance with the recommendations above and about possible complications or changes in their daily routines [2].

To perform the ISWT, the participants were instructed to walk a distance of 10 meters around a marking between two cones, placed 0.5m from each endpoint [8]. The walking speed at which the participant should walk (or run) was dictated by a sound played from a CD that was originally generated by a microcomputer. Each minute the walking speed increased by 0.17m/s. The test was finished when the volunteer was not able to maintain the required speed (more than 0.5m from the cone), at the request of the volunteer, or for some other reported symptom (dyspnea, dizziness, vertigo, angina). The original protocol consisted of 12 levels (1020m); however, as suggested by the literature, we used a protocol of 15 levels (1500m) to evaluate healthy participants, in order to prevent the ceiling effect [13]. Additionally, during the testing, the laps were recorded to calculate the distance and gait speed reached at the last full level. The ISWT were performed twice with at least 30 min of rest between them. The best test (i.e., the longest distance walked) was considered for analysis. The maximum difference between the tests should be 40 m [14]. A third test was performed when the difference was greater than this. A trained professional conducted the tests. Before and after the test, heart rate (HR, measured by a heart rate monitor) and blood pressure (measured by a mercury sphygmomanometer cuff and a stethoscope) were measured.

The CEPT was performed on a treadmill using a protocol based on the progression of the ISWT. This protocol consisted of 1-minute stages, with speed increasing every minute without increasing the incline of the treadmill. The initial speed was 0.5 m/s, and it increased by 0.17 m/s at each stage. Before, during and after the test, heart rate and blood pressure were measured as described above. The criteria for stopping the test was as follows systolic blood pressure (SBP) greater than 210 mmHg; diastolic blood pressure greater than 120 mmHg; sustained decrease in SBP, angina dyspnea, cyanosis; nausea, dizziness or by the request of the volunteer [15].

Second stage procedures

In the second stage 29 volunteers went to the laboratory at two different days. On the first day, the body composition measurements were obtained as described in the first stage. On the second day, the participants went to the laboratory for two ISWT with an interval of 30 minutes between them. Completion of two ISWTs with this interval had been suggested to reduce the effects of the learning test [13,16]. For the data analysis, the results of the test in which the volunteer obtained the greatest distance covered were used. As with the first stage, the entire procedure took place during a single day shift: the subjects were instructed to follow all the recommendations for the practice of physical tests, and prior to completion of the tests.

Cardiorespiratory and metabolic responses

During the tests of the two stages of this study, the exhaled gases were collected using a gas analyzer via the portable telemetry system (k4b2, Cosmed, Rome, Italy). Among other variables, oxygen uptake (VO2), respiratory quotient (R) and HR breath-by-breath were monitored. The absolute VO2 peak rate (mL/min) was expressed as relative rate defined as VO2 peak (mL/kg/min) and R peak the highest value of these measures at peak effort [17] and maximum heart rate (HRmax) as the highest HR value recorded during the test [2]. The maximum predicted HR was calculated as 208 (0.7 * age) [18].

Validation of the reference equation

To validate the equation, a different group of healthy males, composed of 12 individuals, was selected according to the same inclusion criteria of the study. This group completed the ISWT as described in the preceding stages. Likewise, the VO2 peak was predicted by the reference equation.

Statistical analysis

The statistical analysis was performed using the statistical packages SPSS 22.0 (Inc., USA) and GraphPad Prism 4 (Inc., USA). In the first stage, the normality of data was checked by the Shapiro–Wilk test and the differences among measured variables were determined by paired-t-test for variables with normal distribution or the Wilcoxon test for variables with non-normal distribution. Pearson’s coefficient of correlation was performed to study the correlation between variables and the agreement between tests was assessed by Bland-Altman analysis. The sample size was calculated based on the study by Neves et al [2] and was identified at least 10 participants. In the second stage, the normality of data was checked by Kolmogorov-Smirnov test and for compiling the reference equation, the linear multiple regression analysis was performed to identify the predictors of the dependent variable. Multicollinearity was measured by variance inflation factors (VIF). In this stage, the sample size was estimated on GPower Software version 3.1 and based on the relationship between the numbers of variables to be included in the multiple regression analysis and the minimum number of observations required, indicating at least 29 participants in order to develop a linear model containing up to three variables. At the end of the regression analysis, the paired t-test was utilized to compare the means of the results obtained by the reference equation with the measured values of VO2 peak obtained using the gas analyzer. Moreover, the validation of the reference equation was evaluated in an additional group of 12 volunteers: the values of VO2 peak obtained by the reference equation were compared with the measured values of VO2 peak obtained by the gas analyzer using the paired t-test. The level of statistical significance was P<0.05.

Results

A total of 336 subjects were screened, but 186 did not return the baseline questionnaire. From the 150 eligible participants, 28 reported any chronic, acute illness or reported premature birth, 49 decline and 32 subjects were excluded for other reasons. The final sample was 41 male adolescents.

First stage

The general characteristics of the participants of first and second stage and their performance on ISWT are showed in Table 1. The cardiorespiratory responses obtained at the end of the ISWT and CEPT are presented in Table 2. Similar results in VO2 peak, R peak, and predicted HRmax were found. Moderate and significant correlations in VO2 peak (r = 0.44, P = 0.02) and R peak (r = -0.53, P<0.01) were found between the tests. The Bland-Altman analysis also showed agreement between the results for VO2 peak (bias = -0.13) and R peak (bias = 0.00) on the ISWT and CEPT (Fig 1A and 1B).

thumbnail
Table 1. Characteristics of participants of the first, second and third stage.

https://doi.org/10.1371/journal.pone.0206867.t001

thumbnail
Table 2. Comparison between the results of cardiorespiratory variables at the end of the test, obtained in ISWT and CEPT.

https://doi.org/10.1371/journal.pone.0206867.t002

thumbnail
Fig 1. Agreement between VO2 (mL/kg/min) peak and R peak obtained in the ISWT and CEPT.

(A) Bland-Altman plot of the difference between the VO2 peak of the ISWT and CEPT plotted against the mean VO2 peak of the ISWT and CEPT; (B) Difference R peak of the ISWT and CEPT plotted against the mean R peak of the ISWT and CEPT. ISWT = Incremental Shuttle Walking Test; CEPT = cardiopulmonary exercise testing; VO2 = oxygen uptake; R = respiratory exchange ratio.

https://doi.org/10.1371/journal.pone.0206867.g001

Second stage

The characteristics of the participants of the second stage are showed in Table 1. Considering the best ISWT, age, BMI and distance walked were the demographic, anthropometric and physical performance variables selected for the preparation of the reference equation, respectively. The univariate analysis showed that the VO2 peak correlated significantly with age (r = 0.38, p = 0.04), and distance (r = 0.67, p = 0.0001). There was no significant correlation with BMI (r = -0.24, p = 0.22). A model of stepwise linear multiple regressions showed that distance walked explained 42.5% (R2 adjusted = 0.425, p = 0.0001) of the variance in VO2 peak. The 95% Confidence Interval for unstandardized coefficients were the constants (11.12 to 30.77) and distance (0.01 to 0.03). The reference equation for the VO2 peak in the ISWT was:

Validation of the reference equation

The characteristics of the volunteers who attended in the equation validation stage were present in Table 1. The results obtained by the equation of VO2 peak with the values obtained by the gas analyzer, showed no significant difference between them (VO2 peak [predicted] = 39.24 ± 6.1 mL/kg/min; VO2 peak [gas analyzer] = 40.87 ± 5.4 mL/kg/min, P = 0.1776). It was possible to verify the agreement between these measures by the Bland-Altman method, in which a bias of 1.6 was showed, representing a difference of 4.4% in the VO2 peak (Fig 2). Furthermore, there was no statistically significant difference between the participants of equation elaboration and validation for age (p = 0.7978), weight (p = 0.5498), height (p = 0.0650), BMI (p = 0.2480), distance walked (p = 0.9213) and walking speed (p = 0.0.6212).

thumbnail
Fig 2. Bland-Altman agreement of VO2 peak in the validation of the reference equation.

https://doi.org/10.1371/journal.pone.0206867.g002

Discussion

The present study describes the comparison of CRF between the ISWT with CEPT in healthy sedentary adolescent boys. In the ISWT, the adolescent boys reached values of HRmax > 90% and R peak > 1.1, thus classifying the ISWT as a maximal effort test [19,20]. Furthermore, results showed a moderate and significant correlations as well as agreement between VO2 peak and R peak by both tests. Our results are corroborated by the results of Lanza et al. [9]. These authors showed that ISWT is a maximal test in children and adolescent by registering higher HR values (>90%) at end of the test. Our research group also showed previously in healthy men [2] and women (data not published) that cardiorespiratory outcomes (VO2 peak and R peak) collected during ISWT are comparable to CEPT test, as well as both tests showed agreement and high correlations between VO2 and R peak between ISTW and CEPT [2]. In the other hand, previous studies showed lower HR max in healthy control children at end of the test compared to our data, such as 69% [11] and 55% [10]. However, it’s important to highlight that our participants were allowed to run which can explain the higher HRmax found. To the best of our knowledge there are no studies evaluating CRF between ISWT and CEPT in healthy sedentary adolescent boys. Taken together, our data support that ISWT can be considered as a valid measure to assess CRF in this population as a maximal effort test.

Additionally, our study is the first one to develop an equation to predict VO2 peak in the ISWT in this population. Despite of have including anthropometric variables in the multivariate analysis, only distance walked explained the variance of VO2 (43%) peak in our population. Distance walked as one of the major determinant of VO2 peak was also observed in previous studies that developed reference equations for the prediction of VO2 peak during the application of the ISWT in healthy adults [21,22] and during the six-minute walking test in obese adolescents [23].

Although the age was significantly correlated to VO2 in the linear analysis, this correlation was not strong the sufficient for explained the variance of VO2 peak. Similar result was observed by Tsiaras et al. (2010), which shown that the addiction of age did not further improve the prediction accuracy of the equation for prediction of VO2 peak from a maximal treadmill test in 12–18 year-old active male adolescents [24]. This absence of influence of age seems to be related to the stabilization of aerobic performance in youth when compared to childhood. In fact, previous studies showed that the performance of adolescents improved linearly with increase of age, it increased up to 12–13 years, and after (aged 14–19 years) tended to achieve a plateau [25,26]. As with age, BMI did not influence the prediction of VO2 peak. The probable reason for this seems to be related to homogeneity of sample of present study. It is noted that participants of present study showed normal BMI. Thus, given that the CRF is lower in adolescents who are overweight than in those of normal weight, the normal body composition did not was correlated to VO2 peak [25,27]. Finally, it’s important to highlight that distance walked is a feasible variable in clinical practice and have to take into account when developing a regression equation [28].

Although the prediction equation proposed in the present study might be explained by moderate variance, the VO2 peak data collected by the gas analyzer and the developed equation showed agreement. Moreover, the reference values from the current literature that classify CRF (i.e. very week to excellent) vary approximately 7mL/kg/min among the age ranges. Thus, the variation found in the present study (4%) is less likely to change the individuals CRF classification [17]. Finally, the VO2 peak mean reached by the male adolescents in our study (~ 44.0 mL/kg/min) was smaller than previous study reporting VO2 reference for trained men with age ranging from 15 to 24 (53.3 mL/kg/min) [17] or 10–14 years old (≥ 52.3 mL/kg/min) [6], which classifies our population as sedentary [17].

The results pointed here raise important advancing scientific knowledge regarding the level of ISW in healthy sedentary adolescent boys. The results found in this study contribute to the process of measurement of peak VO2 becomes more accessible to clinical practice so that the prescription and elaboration of exercise programs happen in a more informed and assertive way, as well as ISWT can be used as a maximal effort test in replacement of submaximal field test available (e.g. six minute walking test) [29]. Moreover, clinicians should considerer ISWT instead of other field test (e.g. 9-minute walk / run test, 1-mile walk / run test and the 20 m Shuttle Run Test) [3032] because these tests are influenced by external factors (e.g. motivation and self-paced) which can lead to great variability and compromising the application in randomized controlled trials. Lastly, our prediction equation could be used in clinical studies aiming to investigate CRF in disable adolescent boys population avoiding to use control groups for comparing theirs results [5,9,10]. However, due to restrictions of funding and time, no further experiments such as assessing girls and children with age under 12 years old were conducted. Further studies are necessary to address this population.

Conclusion

In a conclusive way, the VO2 peak values found in our study allow us to affirm that the ISWT was in fact a maximum intensity test in healthy sedentary adolescent boys assessed by direct gas analyzer. Furthermore, the regression equation was feasible and might be useful for clinicians for predicting VO2 peak in this population.

References

  1. 1. Haskell WL, Lee I-M, Pate RR, Powell KE, Blair SN, et al. (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 116: 1081. pmid:17671237
  2. 2. Neves CD, Lacerda ACR, Lage VK, Lima LP, Fonseca SF, et al. (2015) Cardiorespiratory responses and prediction of peak oxygen uptake during the shuttle walking test in healthy sedentary adult men. PloS one 10: e0117563. pmid:25659094
  3. 3. Nici L, Donner C, Wouters E, Zuwallack R, Ambrosino N, et al. (2006) American thoracic society/European respiratory society statement on pulmonary rehabilitation. American journal of respiratory and critical care medicine 173: 1390–1413. pmid:16760357
  4. 4. Villa F, Castro APBM, Pastorino AC, Santarém JM, Martins MA, et al. (2011) Aerobic capacity and skeletal muscle function in children with asthma. Archives of disease in childhood: archdischild212431.
  5. 5. Sperandio EF, Vidotto MC, Alexandre AS, Yi LC, Gotfryd AO, et al. (2015) Functional exercise capacity, lung function and chest wall deformity in patients with adolescent idiopathic scoliosis. Fisioterapia em Movimento 28: 563–572.
  6. 6. Rodrigues AN, Perez AJ, Carletti L, Bissoli NS, Abreu GR (2006) Maximum oxygen uptake in adolescents as measured by cardiopulmonary exercise testing: a classification proposal. Jornal de Pediatria 82: 426–430. pmid:17003945
  7. 7. Probst VS, Hernandes NA, Teixeira DC, Felcar JM, Mesquita RB, et al. (2012) Reference values for the incremental shuttle walking test. Respiratory medicine 106: 243–248. pmid:21865021
  8. 8. Singh SJ, Morgan M, Scott S, Walters D, Hardman AE (1992) Development of a shuttle walking test of disability in patients with chronic airways obstruction. Thorax 47: 1019–1024. pmid:1494764
  9. 9. de Cordoba Lanza F, do Prado Zagatto E, Silva JC, Selman JPR, Imperatori TBG, et al. (2015) Reference equation for the incremental shuttle walk test in children and adolescents. The Journal of pediatrics 167: 1057–1061. pmid:26323195
  10. 10. Tsopanoglou SP, Davidson J, Goulart AL, de Moraes Barros MC, dos Santos AMN (2014) Functional capacity during exercise in very‐low‐birth‐weight premature children. Pediatric pulmonology 49: 91–98. pmid:23359551
  11. 11. Gomes ÉLD, Sampaio LMM, Costa IP, Dias FD, Ferneda VS, et al. (2013) Analysis of autonomic modulation during maximal and submaximal work rate and functional capacity in asthmatic children. Journal of Asthma 50: 613–618. pmid:23574110
  12. 12. Coelho CC, Aquino EdS, Almeida DCd, Oliveira GC, Pinto RdC, et al. (2007) Comparative analysis and reproducibility of the modified shuttle walk test in normal children and in children with cystic fibrosis. Jornal Brasileiro de Pneumologia 33: 168–174. pmid:17724536
  13. 13. Dourado VZ, Guerra RLF (2013) Reliability and validity of heart rate variability threshold assessment during an incremental shuttle-walk test in middle-aged and older adults. Brazilian Journal of Medical and Biological Research 46: 194–199. pmid:23369974
  14. 14. Bradley J, Howard J, Wallace E, Elborn S (2000) Reliability, repeatability, and sensitivity of the modified shuttle test in adult cystic fibrosis. Chest 117: 1666–1671. pmid:10858400
  15. 15. American College of Sports Medicine (2003) Diretrizes do ACSM para os testes de esforço e sua prescrição. Rio de Janeiro: Guanabara Koogan. 704 p. 25057689.
  16. 16. Jürgensen SP, de Oliveira Antunes LC, Tanni SE, Banov MC, Lucheta PA, et al. (2011) The incremental shuttle walk test in older Brazilian adults. Respiration 81: 223–228. pmid:20639622
  17. 17. Herdy AH, Caixeta A (2016) Brazilian cardiorespiratory fitness classification based on maximum oxygen consumption. Arquivos brasileiros de cardiologia 106: 389–395. pmid:27305285
  18. 18. Tanaka H, Monahan KD, Seals DR (2001) Age-predicted maximal heart rate revisited. Journal of American College of Cardiology 37: 153–6.
  19. 19. Robergs RA, Dwyer D, Astorino T (2010) Recommendations for improved data processing from expired gas analysis indirect calorimetry. Sports Medicine 40: 95–111. pmid:20092364
  20. 20. Sawyer BJ, Blessinger JR, Irving BA, Weltman A, Patrie JT, et al. (2010) Walking and running economy: inverse association with peak oxygen uptake. Medicine and science in sports and exercise 42: 2122. pmid:20351592
  21. 21. Dourado VZ, Banov M, Marino M, De Souza V, Antunes LdO, et al. (2010) A simple approach to assess VT during a field walk test. International journal of sports medicine 31: 698–703. pmid:20617483
  22. 22. Dourado VZ, Guerra RLF, Tanni SE, Antunes LCdO, Godoy I (2013) Reference values for the incremental shuttle walk test in healthy subjects: from the walk distance to physiological responses. Jornal Brasileiro de Pneumologia 39: 190–197. pmid:23670504
  23. 23. Vanhelst J, Fardy PS, Salleron J, Béghin L (2013) The six-minute walk test in obese youth: reproducibility, validity, and prediction equation to assess aerobic power. Disability and rehabilitation 35: 479–482. pmid:22779759
  24. 24. Tsiaras V, Zafeiridis A, Dipla K, Patras K, Georgoulis A, et al. (2010) Prediction of peak oxygen uptake from a maximal treadmill test in 12-to 18-year-old active male adolescents. Pediatric exercise science 22: 624–637. pmid:21242610
  25. 25. Lipman TH (2007) Cardiorespiratory Fitness Levels Among US Youth 12 to 19 Years of Age: Findings From the 1999–2002 National Health and Nutrition Examination Survey. MCN: The American Journal of Maternal/Child Nursing 32: 197.
  26. 26. Olds T, Tomkinson G, Léger L, Cazorla G (2006) Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries. Journal of sports sciences 24: 1025–1038. pmid:17115514
  27. 27. Castro-Piñero J, Ortega F, Keating XD, González-Montesinos J, Sjöstrom M, et al. (2011) Percentile values for aerobic performance running/walking field tests in children aged 6 to 17 years; influence of weight status. Nutrición hospitalaria 26.
  28. 28. Salbach NM, O’Brien KK, Brooks D, Irvin E, Martino R, et al. (2015) Reference values for standardized tests of walking speed and distance: a systematic review. Gait & posture 41: 341–360.
  29. 29. Cacau LdAP, Carvalho VO, dos Santos Pin A, Daniel CRA, Ykeda DS, et al. (2017) Reference Values for the 6-min Walk Distance (6MWT) in Healthy Children Aged 7 to 12 Years in Brazil: Main Results of the TC6minBRASIL Multi-Center Study. Respiratory care: respcare. 05686.
  30. 30. Leger LA, Lambert J (1982) A maximal multistage 20-m shuttle run test to predict $ $\dot V $ $ O2 max. European journal of applied physiology and occupational physiology 49: 1–12. pmid:7201922
  31. 31. Paludo AC, Batista MB, Serassuelo Júnior H, Cyrino ES, Ronque ERV (2012) Estimation of cardiorespiratory fitness in adolescents with the 9-minute run/walk test. Revista Brasileira de Cineantropometria & Desempenho Humano 14: 401–408.
  32. 32. Cureton KJ, Sloniger MA, O’Bannon JP, Black DM, McCormack WP (1995) A generalized equation for prediction of VO2peak from 1-mile run/walk performance. Med Sci Sports Exerc 27: 445–451. pmid:7752874