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Purpose: This study examined the agreement between estimated peak oxygen consumption (VO2peak) obtained from the Progressive Aerobic Cardiovascular Endurance Run (PACER) fitness test and equated PACER laps derived from One-Mile Run time (MR). Methods: A sample of 680 participants (324 boys and 356 girls) in Grades 7 through 12 completed both the PACER and the MR assessments. MR time was converted to PACER laps (PACER-MEQ) using previously developed conversion algorithms. Agreement between PACER and PACER-MEQ VO2peak was examined using Pearson correlations, mean absolute percent error (MAPE), and equivalence testing procedures. Classification agreement based on health-related standards was examined using sensitivity, specificity, and Kappa statistics. Results: Overall agreement between estimated VO2peak obtained from the PACER and PACER-MEQ was high in boys, r(324) = .79, R2 = .63, and moderate in girls, r(356) = .57, R2 = .33. The MAPE for estimates obtained from PACER-MEQ was 10.3% and estimates were dee...

The purpose of this study was to examine age- and sex-related variation in handgrip strength and to determine reference values for the Hungarian population.A sample of 1,086 Hungary youth (aged 11-18 years old; 654 boys and 432 girls) completed a handgrip strength assessment using a handheld dynamometer. Quantile regression was used to compute separate models for boys and girls and included a linear, cubic, and quadratic term for age to account for nonlinear patterns. These terms were tested for statistical significance using the Wald statistical test with p.05. Age- and sex-specific centiles were generated and the 50th percentile was used to describe the overall patterns in handgrip strength.The linear, cubic, and quadratic terms for age fitted the data well for boys (p.05), while both linear and quadratic terms for age were statistically significant for girls (p.05). The 50th percentile values resulted in 21.4 kg, 21.7 kg, 25.0 kg, 30.0 kg, 35.4 kg, 40.0 kg, 42.6 kg, and 42.0 kg for boys aged 11 to 18 years old, respectively. The same percentile resulted in 20.0 kg, 19.5 kg, 19.6 kg, 20.3 kg, 21.6 kg, 23.5 kg, 26.1 kg, and 29.2 kg for girls aged 11 to 18 years old, respectively.Muscle strength as determined by handgrip has distinct age-related patterns in boys and girls. We have accounted for biological age differences and developed norm-referenced values that can be used to interpret handgrip assessment scores obtained from school-aged children in Hungary.

The purpose of this study was to create a physical education (PE) attitude scale and examine how it is associated with aerobic capacity (AC).Participants (n = 961, aged 15-20 years) were randomly selected from 26 Hungarian high schools. AC was estimated from performance on the Progressive Aerobic Cardiovascular and Endurance Run test, and the attitude scale had 31 items measured on a Likert scale that ranged from 1 to 5. Principal component analysis was used to examine the structure of the questionnaire while several 2-way analyses of variance and multiple linear regression (MLR) were computed to examine trends in AC and test the association between component scores obtained from the attitude scale and AC, respectively.Five components were identified: health orientation in PE (C1), avoid failure in PE (C2), success orientation in PE (C3), attitude toward physical activity (C4), and cooperation and social experience in PE (C5). There was a statistically significant main effect for sex on C3 (p.05), C4 (p.001), and C5 (p.05) indicating that boys' scores were higher than girls. The Sex × Age interaction was also statistically significant (p.05) and follow-up comparisons revealed sex differences in C5 for 15-year-old participants. Girls showed statistically significant higher values than boys in C5 at the age of 16 years. MLR results revealed that component scores were significantly associated with AC (p.05). Statistically significant predictors included C1, C2, C3, and C4 for boys and C2 and C4 for girls.The 5-component scale seems to be suitable for measuring students' attitudes toward PE. The design of the study does not allow for direct associations between attitudes and AC but suggests that these 2 might be related.

The purpose of this study was to examine region, age, and sex profiles of physical fitness in Hungarian youth.A sample of 2,602 Hungarian youth aged 10 to 18 years old completed a series of physical fitness field tests: the Progressive Aerobic Cardiorespiratory Endurance Run (PACER) fitness test, body mass index (BMI), percent body fat (%BF), waist circumference (WC), curl-ups (CU), pushups (PU), trunk extension (TE), back-saver sit-and-reach (SR), handgrip (HG), and standing broad jump. Physical fitness scores were classified using FITNESSGRAM® standards, and trends for region, age, and sex were examined using logistic regression. The outcome variable represented the likelihood that a child would meet the recommended levels of fitness for health.Achievement rates varied considerably by region, age, and sex. The likelihood of achieving the Healthy Fitness Zone (HFZ) varied among Hungarian regions and on all the assessments (p .05) with exception of the CU, PU, and HG tests (p.05). The likelihood of achieving the HFZ was linearly related with age based on PACER, BMI, WC, %BF, CU, and SR scores (p .05). There were statistically significant gender differences and boys were more likely to achieve the HFZ based on PACER, WC, CU, PU, TE, and SR scores (p .05).The likelihood of achieving the recommended levels of fitness for youth varies between regions in Hungary, in most cases decreases with age, and tends to be higher in boys. This study is one of the few that provides evidence of regional, age, and sex patterns of health-related fitness using a representative sample of youth.

The purpose of this article was to evaluate the validity of the Progressive Aerobic Cardiovascular and Endurance Run (PACER) test in a sample of Hungarian youth.Approximately 500 participants (aged 10-18 years old) were randomly selected across Hungary to complete both laboratory (maximal treadmill protocol) and field assessments (PACER) of aerobic capacity. Agreement between lab- and PACER-derived peak oxygen consumption (VO2) was examined using linear regression and 2-sided equivalence testing techniques, respectively. The impact of agreement on the classification accuracy of peak VO2 estimates into FITNESSGRAM® fitness zones was determined with kappa statistics.The final sample resulted in a total of 167 boys and 143 girls (N = 310). Analyses revealed that lab and PACER VO2 shared 13% to 18% of their variance (R(2)boys = .13, R(2)girls = .18) and that limits of agreement ranged from - 39.9 mL/kg/min to +37.6 mL/kg/min depending on the sex. The absolute error values were 14% for boys and 16% for girls; however, the average peak VO2 estimates from the PACER were within the 10% equivalence region for girls (37.2 mL/kg/min to 45.4 mL/kg/min), but not for boys (45.2 mL/kg/min to 55.2 mL/kg/min). When lab and PACER VO2 were categorized according to Fitnessgram zones, agreement was fair for both sexes (boys, Kappa = .25, and girls, Kappa = .31).Although the correlations between measured and predicted peak VO2 were lower than expected, the magnitude of error observed in the PACER is similar to past ranges of error observed in other studies (10%-15%), but the large individual error should be considered when interpreting individual results from this field-based measure of aerobic capacity. There was reasonable classification agreement between lab estimates and the PACER test for classification into the various fitness standards.

This study examined the agreement between estimated peak oxygen consumption (VOA sample of 680 participants (324 boys and 356 girls) in Grades 7 through 12 completed both the PACER and the MR assessments. MR time was converted to PACER laps (PACER-MEQ) using previously developed conversion algorithms. Agreement between PACER and PACER-MEQ VOOverall agreement between estimated VOEquated PACER laps can be used to obtain equivalent estimates of PACER VO

The purpose of this study was to examine age and sex trends in anaerobic power assessed by a standing broad jump and to determine norm-referenced values for youth in Hungary.A sample of 2,427 Hungarian youth (1,360 boys and 1,067 girls) completed the standing broad jump twice, and the highest distance score was recorded. Quantile regression was used to fit standing broad jump trends across linear and quadratic functions of age. Statistical significance was determined with bootstrap confidence intervals and the Wald test with p.05. Age-by-sex specific centiles were generated and the 50th percentile was used to describe the overall patterns.Standing broad jump scores increased steadily in boys from age 11 through 18 years with a discrete plateau at the end of adolescence. Girls' standing broad jump scores of those who performed above the median increased with age and plateaued later in the adolescence. Both linear and quadratic age terms were statistically significant predictors of standing broad jump trends across age (p.05), but the relations varied depending on the percentile. The 50th percentile values resulted in 147.0 cm, 162.0 cm, 175.0 cm, 186.0 cm, 195.0 cm, 202.0 cm, 207.0 cm, and 210.0 cm for boys aged 11 to 18 years old, respectively, and 140.0 cm, 143.9 cm, 147.3 cm, 150.0 cm, 152.1 cm, 153.7 cm, 154.6 cm, and 155.0 cm for girls aged 11 to 18 years old, respectively.This study provides normative reference charts that take into account age and sex differences in standing broad jump performance. The proposed reference values can be used to interpret standing broad jump scores in Hungarian youth.

The purpose of this study was to test the convergent validity of Omron 306 using Biospace InBody 720.A total of 267 participants (145 boys; aged 10.4-17.9 years) completed testing during a single session. Each measure provided percent body fat (%BF), while the InBody 720 included fat-free mass (FFM). The validity was examined using the Pearson correlation. Limits of agreement (LOA) and multiple linear regression were also used to determine the impact of both age and FFM on the associations between the 2 measures.The 2 measures of %BF were correlated by .63 (p.001) in boys and .89 (p.001) in girls. The mean difference (i.e., InBody - Omron) for %BF in boys was - 4.7% with a lower LOA of - 20.5% and upper LOA of 11.2%. The same comparison for girls resulted in a difference of 3.0% with a lower LOA of - 10% and upper LOA of 4%. Examination of the residuals obtained from multiple linear regression indicated that FFM was the only statistically significant predictor of differences in boys (βFFM = - 0.25 ± 0.08%, p = .001). There were no significant associations for girls.Findings indicate that estimates of %BF obtained from Omron in boys exceed estimates from InBody 720. Disagreement was evident in younger boys with lower levels of FFM. Girls' %BF was closer between the 2 bioelectrical impedance analyzer measures (less residual) with age and FFM not explaining the disagreement. Overall, the 2 measures were not equivalent.

The purpose of this study was to cross-validate FITNESSGRAM® aerobic and body composition standards in a representative sample of Hungarian youth.A nationally representative sample (N = 405) of Hungarian adolescents from the Hungarian National Youth Fitness Study (ages 12-18.9 years) participated in an aerobic capacity assessment via treadmill test to maximum to determine peak oxygen consumption (VO2peak) and a bioelectrical impedance assessment to estimate percent body fat (%BF). Additionally, metabolic syndrome status was assessed via finger-stick blood sample. Youth were categorized into Healthy Fitness Zone (HFZ) and Needs Improvement (NI) groups based on Fitnessgram standards. Prevalence of metabolic syndrome was calculated and logistic regression was used to estimate odds of metabolic syndrome.Hungarian youth were generally fit with a low prevalence of metabolic syndrome. Approximately 69% to 77% of boys and 55% to 57% of girls were classified into the HFZ based on %BF and VO2peak. Youth in the NI health risk zones for VO2peak and %BF were 4 times to 5 and 2 times to 3 times more likely to have metabolic syndrome than children in the lower-risk groups, respectively.Fitnessgram standards for aerobic capacity and body composition were associated with metabolic syndrome status, though odds ratios were larger for VO2peak than for %BF and varied by sex. Even though these standards were developed in U.S. youth, they can be applied in Hungary and still provide a criterion-referenced indication of fitness.

The purpose of this study was to examine the impact of body mass index (BMI) on the agreement between aerobic capacity estimates from different Progressive Aerobic Cardiorespiratory Endurance Run (PACER) equations and the Mile Run Test.The agreement between 2 different tests of aerobic capacity was examined on a large data set from 2 suburban school districts (n = 1,686 youth in Grades 3-10). Difference estimates between the Mile Run Test and several PACER equations were computed, and residuals were examined using cluster analysis. The implication of the discrepancy between these tests was also examined using FITNESSGRAM health-related standards for BMI. Comparisons were made against corresponding estimates of peak oxygen consumption from the Mile run because this equation is more established.Results supported a 2-cluster solution. The discrepancy between tests was higher in participants with higher BMI scores (Z scores for residuals in this group ranged from -0.07 to 1.57). BMI was able to explain 30% to 34% of the disagreement between the Mile and different PACER equations of aerobic fitness. Classification analyses revealed that kappa scores were lower among PACER equations that do not include a BMI term (kappa = .12-.34 vs. .59-.81). Overall, the test-equating approach used in the Fitnessgram program to process PACER data had better agreement than alternative PACER equations that included BMI.The results support the inclusion of BMI in prediction equations used to estimate aerobic capacity from the PACER.