Comparison of different VO2max equations in the ability to discriminate the metabolic risk in Portuguese adolescents

Moreira, Carla; Santos, Rute; Ruiz, Jonatan R.; Vale, Susana; Soares‐Miranda, Luísa; Marques, António; Mota, Jorge

doi:10.1016/j.jsams.2010.07.003

Cited by 29 publications

(51 citation statements)

References 22 publications

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“…[19][20][21]23 In terms of speed/agility, the values for males were similar to those of three studies , [19][20][21] while females' performance was lower than that of the three analyzed studies. In relation to aerobic performance, male participants showed higher levels compared to one study, 34 similar or mildly lower compared to six studies, 5,11,23,27,31,35 and lower compared to ten studies. 6,17,[19][20][21]25,26,28,29,33 In the case of female participants, values were similar in relation to six studies, 5,11,23,31,34,35 and lower in relation to eleven studies.…”

Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 64%

“…In relation to aerobic performance, male participants showed higher levels compared to one study, 34 similar or mildly lower compared to six studies, 5,11,23,27,31,35 and lower compared to ten studies. 6,17,[19][20][21]25,26,28,29,33 In the case of female participants, values were similar in relation to six studies, 5,11,23,31,34,35 and lower in relation to eleven studies. 6,17,[19][20][21][25][26][27][28][29]33 Comparing physical performance allows to establish that this sample of Argentine children and adolescents has one of the lowest PF levels of all countries.…”

Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 64%

“…Lower limb strength was assessed using the SL test in eight studies; 11,[19][20][21][22][23]31,32 speed/agility was assessed using the 4x10 m in three studies, 19,20,21 and aerobic performance was assessed using the CN-20 m test in 17 studies. 5,6,11,17,[19][20][21]23,[25][26][27][28][29]31,[33][34][35] Strength levels in male participants were higher compared to two studies, 1,20 similar compared to five studies, 19,[21][22][23]31 and lower compared to one study. 32 Strength levels in female participants were only mildly superior compared to two studies, 11,32 similar compared to two studies, 22,31 and lower compared to four studies.…”

Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 99%

“…1,2 The focus went from performance-centered PF to healthrelated PF, thus modifying how the assessment of PF is understood and interpreted. [3][4][5] A n a d e q u a t e P F a s s e s s m e n t program would be effective to 1) encourage students, 2) know their PF level, 3) check their progress, 4) identify risk factors, 6,7 5) design physical activity programs, and 6) promote health and physical education. 8 In addition, recent scientific evidence has confirmed that a high level of PF is strongly related to the cardiovascular, metabolic, musculoskeletal and mental health of children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

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Physical fitness and future cardiovascular risk in argentine children and adolescents: an introduction to the ALPHA test battery

2014

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Introduction.A high level of physical fitness is associated with cardiovascular health in children and adolescents. At present, there is no systematic implementation of a test battery to assess physical fitness at schools in Argentina. The main objective of this study was to implement the ALPHA test battery to determine the physical fitness of a sample made up of Argentine children and adolescents and to establish the proportion of subjects whose aerobic capacity is indicative of future cardiovascular risk. Results. The mean body mass index was 20.8 kg/ m2, and 7.8% of participants were classified as obese. In addition, male participants had a better performance in all physical fitness tests when compared to girls (p< 0.001). An aerobic capacity indicative of cardiovascular risk was observed in 31.6% of all participants. Conclusions. Argentine male children and adolescents included in the sample showed higher levels of physical fitness. Such differences increase with age. Approximately one every three participants had an aerobic capacity indicative of future cardiovascular risk.

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Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 64%

Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 64%

Section: Differences In Pf Levels Among Age and Sex Groupsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Physical fitness and future cardiovascular risk in argentine children and adolescents: an introduction to the ALPHA test battery

2014

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“…However, these values should be interpreted with caution, as the data have been converted to predicted V˙O 2peak based on one of a number of available reference equations, which has limitations (Aguilar et al, 2011; Sandercock et al, 2012). We adopted the 20 m shuttle‐run test to estimate CRF because it has been extensively used in situations when it is unfeasible to use direct measurements (Machado‐Rodrigues et al, 2014; Moreira et al, 2011; Prieto‐Benavides et al, 2015), and because its results are highly correlated with laboratory measurements (Batista et al, 2013). …”

Section: Discussionmentioning

confidence: 99%

Normative reference values for the 20 m shuttle‐run test in a population‐based sample of school‐aged youth in Bogota, Colombia: the FUPRECOL study

Ramírez‐Vélez

Palacios-López

Prieto-Benavides

et al. 2016

American J Hum Biol

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ObjectivesOur aim was to determine the normative reference values of cardiorespiratory fitness (CRF) and to establish the proportion of subjects with low CRF suggestive of future cardio‐metabolic risk.MethodsA total of 7244 children and adolescents attending public schools in Bogota, Colombia (55.7% girls; age range of 9–17.9 years) participated in this study. We expressed CRF performance as the nearest stage (minute) completed and the estimated peak oxygen consumption (V˙O2peak). Smoothed percentile curves were calculated. In addition, we present the prevalence of low CRF after applying a correction factor to account for the impact of Bogota's altitude (2625 m over sea level) on CRF assessment, and we calculated the number of participants who fell below health‐related FITNESSGRAM cut‐points for low CRF.ResultsShuttles and V˙O2peak were higher in boys than in girls in all age groups. In boys, there were higher levels of performance with increasing age, with most gains between the ages of 13 and 17. The proportion of subjects with a low CRF, suggestive of future cardio‐metabolic risk (health risk FITNESSGRAM category) was 31.5% (28.2% for boys and 34.1% for girls; X2 P = .001). After applying a 1.11 altitude correction factor, the overall prevalence of low CRF was 11.5% (9.6% for boys and 13.1% for girls; X2 P = .001).ConclusionsOur results provide sex‐ and age‐specific normative reference standards for the 20 m shuttle‐run test and estimated V˙O2peak values in a large, population‐based sample of schoolchildren from a large Latin‐American city at high altitude.

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Comparisons between inverted body mass index and body mass index as proxies for body fatness and risk factors for metabolic risk and cardiorespiratory fitness in portuguese adolescents

Duncan

Mota

Vale

et al. 2012

American J Hum Biol

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Objectives: To compare inverted body mass index (iBMI, cm2/kg) and body mass index (BMI, kg/m2) as predictors of body fatness, metabolic risk, and cardiovascular fitness in adolescents. Methods: A cross‐sectional school‐based study was conducted on 445 Portuguese adolescents (252 girls and 193 boys) aged 10–17 years. Height and body mass were assessed to determine iBMI and BMI, percent body fatness was determined from skinfold measures (tricep, subscapular) using the Slaughter et al. (1988: Hum Biol 60: 709–723) regression equation and cadiorespiratory fitness (CRF) was assessed using the 20‐m shuttle run test. Capillary blood sampling was used to determine: Total cholesterol, triglycerides, high, and low density lipoprotein. These were combined with measures of systolic blood pressure and waist circumference as z‐scores. Metabolic risk (MRS) was constructed by summing the z‐scores. Results: iBMI and BMI were both significantly related to percent body fatness, CRF and MRS (all P = 0.005 or better). BMI was not normally distributed (P = 0.0001), whereas iBMI was (P > 0.05). Regression analysis identified that iBMI and BMI, both alongside for age, were significant predictors of percent body fatness, CRF and MRS (all P = 0.005 or better). Compared with BMI, iBMI was a similar predictor of CRF, MRS and body fatness. Conclusions: iBMI offers a biologically sound alternative to BMI to assess the effect of weight status on MRS and CRF in adolescents and allows appropriate use of parametrical statistical techniques without changing the conclusions drawn from such data. Am. J. Hum. Biol. 2012. © 2012 Wiley Periodicals, Inc.

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Comparison of different VO2max equations in the ability to discriminate the metabolic risk in Portuguese adolescents

Cited by 29 publications

References 22 publications

Physical fitness and future cardiovascular risk in argentine children and adolescents: an introduction to the ALPHA test battery

Physical fitness and future cardiovascular risk in argentine children and adolescents: an introduction to the ALPHA test battery

Normative reference values for the 20 m shuttle‐run test in a population‐based sample of school‐aged youth in Bogota, Colombia: the FUPRECOL study

Comparisons between inverted body mass index and body mass index as proxies for body fatness and risk factors for metabolic risk and cardiorespiratory fitness in portuguese adolescents

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