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Revista Brasileira de Cineantropometria & Desempenho Humano

On-line version ISSN 1980-0037

Rev. bras. cineantropom. desempenho hum. vol.14 no.4 Florianópolis  2012

http://dx.doi.org/10.5007/1980-0037.2012v14n4p401 

ORIGINAL ARTICLE

 

Estimation of cardiorespiratory fitness in adolescents with the 9-minute run/walk test

 

 

Ana Carolina PaludoI; Mariana Biagi BatistaII; Hélio Serassuelo JúniorI; Edilson Serpeloni CyrinoI; Enio Ricardo Vaz RonqueI

IUniversidade Estadual de Londrina. Programa de Pós-Graduação Associado. Londrina, PR, Brasil
IIFaculdade Dom Bosco. Cornélio Procópio, PR, Brasil

Corresponding author

 

 


ABSTRACT

The aim of this study was to analyze estimation of cardiorespiratory fitness (CRF) in adolescents aged 10 to 12 years by means of the 9-minute run/walk test. A total of 115 adolescents (61 boys and 54 girls) took part in the study. Mean age was 12.2±0.9 and 12.1±0.7 years, body mass 47.5±13.6 and 45.0±13.2 kg, height 150.9±7.7and 150.4±7.3 cm, and VO2peak 49.9±9.5 and 42.2±7.4 mL/kg/min in boys and girls respectively. The subjects performed a maximal treadmill test and a 9-minute run/walk field test (9-minute test). The relationship between VO2 and the 9-minute test was analyzed by Pearson's correlation coefficient. The difference between the proportions of adolescents who met health criteria and agreement between the CRF cutoff points proposed in the Physical Best and Fitnessgram batteries was analyzed with McNemar's test and the Kappa statistic respectively. The significance level was set at 5%. There was moderate correlation (r=0.64) between the 9-minute test and directly measured VO2peak in the sample as a whole. Gender-stratified analysis showed higher correlation in boys (r=0.59) than in girls (r=0.43). There were significant differences between the tested cutoff points (P<0.001) and weak agreement (Kappa = 0.19) in relation to CRF. These findings suggest that the 9-minute test appears to be a valid indicator of CRF in adolescents between the ages of 10 and 12. However, care should be taken when choosing cutoff points for classification of cardiorespiratory fitness.

Key words: Adolescents; Cardiorespiratory fitness; Cutoff points; Field test.


 

 

INTRODUCTION

In recent years, some studies have shown that cardiorespiratory fitness (CRF) is associated with health outcomes in children and adolescents, with satisfactory CRF being related to low levels of central and overall obesity, healthy cardiovascular parameters, and low metabolic scores1,2.

For collection of information on CRF, maximal oxygen uptake (VO2max) has long been considered one of the key indicators of aerobic power in children and adolescents3,4. VO2 max can be determined directly by graded exercise testing (ergospirometry), which provides a highly valid measurement of this parameter5. However, this technique requires expensive equipment and expert examinersand testing sessions are very time-consuming, which makes its use infeasible for population studies.

One alternative method of CRF assessment is field testing, which has among its main advantages low operating cost, ease of administration, possibility of mass assessment of a large number of subjects simultaneously, and administration of the test in the specific setting of the subject's daily routine6. The most common field tests for assessment of CRF in children and adolescents include the one-mile run/walk test7, the 9-minute run/walk test7and the 20-meter shuttle run (multistage fitness test)8.

In Brazil, one of the field tests most widely used for assessment of CRF in children and adolescents is the 9-minute run/walk test9-12. This test has been used as an adaptation of the 12-minute Cooper test7for children under the age of 12, and is also used in Brazil and internationally as an alternative to motor test batteries for CRF assessment6,13,14.

On the other hand, despite the various advantages of field tests, some variables are hard to control during their administration, such as overload, which, in the 9-minute test, is determined by subjective control of intensity; environmental factors (temperature and humidity); and motivation. Furthermore, as field tests provide an estimate of CRF rather than a direct measurement, errors in measurement and assessment may be greater6.

Furthermore, as CRF is closely associated with health risk factors since childhood and adolescence, investigation of field tests that may be effective tools for assessment and classification of CRF in this population is particularly important. However, few studies have assessed the validity of the 9-minute run/walk test or agreement between CRF classification as determined by direct measurement of VO2versus that estimated by the 9-minute test, using classification schemes suggested by fitness test batteries14, particularly in Brazilian children and adolescents.

In view of this research gap, the present study sought to assess estimation of cardiorespiratory fitness (CRF) in adolescents aged 10 to 12 years with the 9-minute run/walk test and analyze agreement between the Physical Best and Fitnessgram cutoff points for CRF.

 

METHODS

Subjects

The sample comprised 115 adolescents, 61 male (median age, 12.25±0.9 years) and 54 female (12.06±0.7 years), who attended an educational facility in Londrina, Paraná, Brazil. The criteria for inclusion were age within the predefined range and enrollment in the public school at which the study was to be conducted. The criteria for exclusion were presence of any temporary or permanent physical conditions that would preclude participation in the test battery and failure of parents or guardians to provide written informed consent.

Subjects and their parents or guardians were informed of the objective of the study and the procedures involved and provided written informed consent. The project was approved by the Universidade Estadual de Londrina Research Ethics Committee (CEPE/UEL 202/07), in accordance with National Health Council Resolution no. 196/96 on human subject research.

Anthropometry

Body mass were measured with Urano PS 180 digital scales (resolution 0.1 kg), and height, with a wall-mounted stadiometer (resolution 0.1 cm), according to the protocol described by Gordon et al.15. All measurements were obtained with subjects barefoot and wearing only light clothes. Height and body mass measurements were used to calculate the body mass index (BMI), using the equation BMI = body mass (kg)/height (m)2.

Direct Measurement of VO2

Oxygen uptake (VO2) was measured directly by means of open-circuit spirometry during a progressive maximal treadmill test. The test began with a 3-minute warm-up 6 km/hand a 0% grade. After the warm-up period, grade was increased to 1%and speed was increased by 1 km/h per minute until the end of the test. Grade remained constant at 1%.

This protocol had previously been tested in a pilot study of adolescents with the same profile and age range, who reached maximum exertion between 8 and 12 minutes, as has been recommended for measurement of aerobic power indicators in young populations16.

During the test, VO2was measured using a K4b2 mobile ergo spirometer (Cosmed, Rome, Italy), which provided information on respiratory parameters with each breath, recording mean measurements every 15 seconds. The oxygen and carbon dioxide analyzers were calibrated according to manufacturer recommendations before each day of testing.

The following criteria were used to halt the test: a) voluntary exhaustion, as expressed by a request to end the test; b) achievement of target heart rate for age (220 - age); c) respiratory exchange ratio >1.1; d) detection of VO2plateau, as defined by an increase in VO2of <2 ml/kg/min after a change in stage. When subjects met one or more of these criteria, the test was halted and the highest VO2measured up to that point was recorded as VO2peak.

9-Minute Run/Walk Test (9-minute test)

The 9-minute run/walk test took place on a standard 400 m track. Subjects were instructed to cover the greatest possible distance over the 9-minute test period and to keep a steady pace, whether walking, jogging, or running. After the end of the 9-minute period, subjects were instructed to keep walking so as to aid the recovery process.

Distance was measured by the number of laps around the track, adding extra distance as required. A trained examiner was in charge of measuring and recording the distance covered by each subject.

Classification of Cardiorespiratory Fitness

Directly measured VO2values were classified according to the recent Fitnessgram cutoff points17, with subjects being classified as meeting or not meetingCRF criteria.

For the 9-minute test, total distance in meters (9-minute distance) was used as the CRF indicator. Classification was based on suggested Physical Best cutoff points14, adapted to the 9-minute test.

Statistical Analysis

The Kolmogorov-Smirnov test for normality revealed that all variables were normally distributed, except for age, body mass, and BMI. Sample variables were expressed as median and interquartile range. U Mann - Whitney test was used for between-gender comparison descriptive variables.

Pearson's linear correlation coefficient was used to test for correlation between VO2peak and 9-minute distance. McNemar's test was used to analyze differences between the proportion of adolescents in each CRF classification according to cutoff points, and the kappa statistic was used to test for agreement between proportions. The significance level was set at 5% and all analyses were carried out in the SPSS 17.0 environment.

 

RESULTS

The sample profile, stratified by gender, is described in Table 1. The only statistically significant differences were in distance on the 9-minute test and VO2 peak, which were both higher in males.

 

 

Figure 1 represents the correlation between VO2 peak and 9-minute distance. There was moderate correlation19 (r=0.64) between these two variables, explained by 40% of shared variance, for the overall sample. When analysis was stratified by gender, the correlation was found to be stronger among males (r=0.59) than females (r=0.43).

 

 

Agreement between VO2 peak-based and 9-minute distance-based CRF classifications is shown in Table 2. McNemar's test showed differences between the two methods, and the kappa statistic revealed only weak (0.19) agreement between the tested cutoff points.

 

 

DISCUSSION

In our study, estimation of CRF by the 9-minute run/walk test consisted of comparative analysis of the indicatorsof fitness provided by a field test (distance covered on the 9-minute test) versus the criterion or "gold measure" measurement (direct VO2measurement), a research topic which is still little explored in pediatric populations.

The 9-minute test correlated moderately (r=0.64) with directly measured VO2 values in our sample. Drinkard et al.19, in a study of obese adolescents between the ages of 12 and 17, also found moderate correlation (r=0.63) between the 9-minute test and VO2 values measured directly during a cycle ergometer test.

Analysis of the validity of fixed-duration field tests reveals weak to moderate validity in young subjects, as shown in the present study and in previous investigations of the 12-minute run/walk test (r=0.72)19 and the 6-minute walk test20.

Sub-analysis of the validity of the 9-minute test by gender revealed differences, with higher validity in male subjects (r=0.59) as compared to female subjects (r=0.43); in males, the test explained 35% of results, versus 18% of results in female subjects. This is consistent with the results reported in previous studies of other field tests for estimation of CRF, which showed superior validity in male subjects21-23.

Careful interpretation of this analysis of the validity of the 9-minute test is warranted, as analysis based solely on the 9-minute distance does not permit comparison between VO2 peak values and absolute VO2 values measured during the test itself. Most field tests for assessment of CRF in pediatric subjects are based on a mathematical model that enables conversion of test results (whether expressed as time or as distance) into predicted VO2 peak values. Currently, there is no regression equation that permits conversion of the 9-minute distance into predicted VO2peak values. Such a mathematical model might lead to adjustments in test validity, as was the case with the 20-minute shuttle run, the validity of which was higher when predicted by the Léger et al. equation than when calculated from test duration (r=0.73 vs. r=0.69 respectively)21.

Once the 9-minute test has been identified as a reliable indicator of cardiovascular fitness in children and adolescents, an important step is to ascertain its ability to evaluate existing CRF levels through reference standards.

Therefore, this study sought to assess agreement between CRF classification based on cutoff points established in the literature. We detected significant differences in estimated CRF levels between the two tested classification schemes, as shown by McNemar's test, and only weak agreement between the two schemes, as expressed by the kappa statistic (0.19).

The low validity of test estimates and weak agreement between CRF classifications in this study may often have been attributable to intrinsic factors, such as subject and rater motivation both on the running track and in the lab environment, as well as extrinsic factors and variables such as weather and run/walk speed during the field test.

The limitations of this study included the narrow age range of the sample and the small number of participants, as well as the lack of more robust analysis of estimates derived from the 9-minute test, as it still does not have VO2peak values as its final outcome. However, it bears stressing that studies of this nature are still rare in the literature; in fact, this was the first study to assess the validity of the 9-minute test.

 

CONCLUSION

We conclude that, in this sample of adolescents, there was moderate correlation between 9-minute test estimates and directly measured VO2, with superior correlation in boys as compared to girls.

CRF classification of adolescents on the basis of Fitnessgram cutoff points for directly measured VO2 differed from that based on 9-minute test estimates and Physical Best cutoff points. Furthermore, there was weak correlation between cutoff points.

Therefore, caution is warranted when interpreting the results of the 9-minute field test as an indicator of the cardiorespiratory component in school children and on classification of CRF levels, due to the risk of divergences in CRF classification of adolescents with the characteristics of this study sample depending on the CRF indicator used.

 

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Corresponding author
Enio Ricardo Vaz Ronque.
Grupo de Estudo e Pesquisa em Atividade Física e Exercício - GEPAFE.
Centro de Educação Física e Esporte,
Universidade Estadual de Londrina.
Rodovia Celso Garcia Cid, km 380, Campus Universitário.
CEP 86051-990 - Londrina, PR. Telefone: (43) 3371-4772.
E-mail:enioronque@uel.br

Received: 12 December 2011
Accepted: 06 February 2012