Abstract
Background
Cardiorespiratory fitness (CRF), which reflects the overall aerobic capacity of the cardiovascular, respiratory, and muscular systems, is significantly related to health among youth.
Objective
The aim of this systematic review was to identify health-related criterion-referenced cut-points for CRF among youth aged 5–17 years.
Methods
A systematic search of two electronic databases (MEDLINE and SPORTDiscus) was conducted in September 2020. Only peer-reviewed studies that developed health-related criterion-referenced cut-points for CRF among youth were eligible provided they included (1) youth aged 5–17 years from the general population; (2) at least one quantitative assessment of CRF (e.g., peak oxygen uptake [\({V}\)O2peak]); (3) at least one quantitative assessment of health (e.g., cardiometabolic risk); (4) a criterion for health; and (5) a quantitative analysis (e.g., receiver operating characteristic [ROC] curve) of at least one health-related cut-point for CRF. A narrative synthesis was used to describe the results of the included studies.
Results
Collectively, 29 included studies developed health-related criterion-referenced cut-points for CRF among 193,311 youth from 23 countries. CRF cut-points, expressed as \({V}\)O2peak, estimated using the 20-m shuttle run test, demonstrated high discriminatory ability (median area under the curve [AUC] ≥ 0.71) for both cardiometabolic and obesity risk. Cut-points derived from maximal cycle-ergometer tests demonstrated moderate discriminatory ability (median AUC 0.64–0.70) for cardiometabolic risk, and low discriminatory ability for early subclinical atherosclerosis (median AUC 0.56–0.63). Cut-points for CRF using submaximal treadmill exercise testing demonstrated high discriminatory ability for cardiometabolic risk, but only moderate discriminatory ability for obesity risk. CRF cut-points estimated using submaximal step testing demonstrated high discriminatory ability for cardiometabolic risk and moderate discriminatory ability for high blood pressure, while those for the 9-min walk/run test demonstrated moderate-to-high discriminatory ability for obesity risk. Collectively, CRF cut-points, expressed as \({V}\)O2peak, demonstrated moderate-to-high discriminatory ability (median AUC ≥ 0.64) for cardiometabolic risk, obesity risk, and high blood pressure.
Conclusions
Currently, there is too wide a range of health-related criterion-referenced cut-points for CRF among youth to suggest universal age- and sex-specific thresholds. To further inform the development of universal cut-points, there is a need for additional research, using standardized testing protocols and health-risk definitions, that examines health-related criterion-referenced cut-points for CRF that are age, sex, and culturally diverse.
Clinical Trials Registration
PROSPERO registration number: CRD42020207458.
Similar content being viewed by others
References
Armstrong N, Tomkinson G, Ekelund U. Aerobic fitness and its relationship to sport, exercise training and habitual physical activity during youth. Br J Sports Med. 2011;45:849–58.
Lang JJ, Belanger K, Poitras V, Janssen I, Tomkinson GR, Tremblay MS. Systematic review of the relationship between 20 m shuttle run performance and health indicators among children and youth. J Sci Med Sport. 2018;21(4):383–97.
Lang JJ, Larouche R, Tremblay MS. The association between physical fitness and health in a nationally representative sample of Canadian children and youth aged 6 to 17 years. Health Promot Chronic Dis Prev Can. 2019;39(3):104–11.
Ortega FB, Ruiz JR, Castillo MJ, Sjöström M. Physical fitness in childhood and adolescence: a powerful marker of health. Int J Obes. 2008;32(1):1–11.
Henriksson P, Shiroma EJ, Henriksson H, Tynelius P, Berglind D, Löf M, et al. Fit for life? Low cardiorespiratory fitness in adolescence is associated with a higher burden of future disability. Br J Sports Med. 2021;55(3):128–31.
Fühner T, Kliegl R, Arntz F, Kriemler S, Granacher U. An update on secular trends in physical fitness of children and adolescents from 1972 to 2015: a systematic review. Sports Med. 2021;51(2):303–20.
Masanovic B, Gardasevic J, Marques A, Peralta M, Demetriou Y, Sturm DJ, et al. Trends in physical fitness among school-aged children and adolescents: a systematic review. Front Pediatr. 2020;8:627529.
Tomkinson GR, Lang JJ, Tremblay MS. Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high-income and upper middle-income countries between 1981 and 2014. Br J Sports Med. 2019;53(8):478–86.
Raghuveer G, Hartz J, Lubans DR, Takken T, Wiltz JL, Mietus-Snyder M, et al. Cardiorespiratory fitness in youth: an important marker of health: a scientific statement from the American Heart Association. Circulation. 2020;142(7):e101–18.
Lang JJ, Tomkinson GR, Janssen I, Ruiz JR, Ortega FB, Léger L, et al. Making a case for cardiorespiratory fitness surveillance among children and youth. Exerc Sport Sci Rev. 2018;46(2):66–75.
Ruiz JR, Cavero-Redondo I, Ortega FB, Welk GJ, Andersen LB, Martinez-Vizcaino V. Cardiorespiratory fitness cut points to avoid cardiovascular disease risk in children and adolescents; what level of fitness should raise a red flag? A systematic review and meta-analysis. Br J Sports Med. 2016;50(23):1451–8.
Lang JJ, Tremblay MS, Ortega FB, Ruiz JR, Tomkinson GR. Review of criterion-referenced standards for cardiorespiratory fitness: what percentage of 1 142 026 international children and youth are apparently healthy? Br J Sports Med. 2019;53(15):953–8.
Aubert S, Barnes JD, Abdeta C, Abi Nader P, Adeniyi AF, Aguilar-Farias N, et al. Global matrix 3.0 physical activity report card grades for children and youth: results and analysis from 49 countries. J Phys Act Health. 2018;15(Suppl 2):S251–73.
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health. 2019;4(1):23–35.
NCD Risk Factor Collaboration. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Bramer WM, De Jonge GB, Rethlefsen ML, Mast F, Kleijnen J. A systematic approach to searching: an efficient and complete method to develop literature searches. J Med Libr Assoc. 2018;106(4):531–41.
Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36.
Ma L-L, Wang Y-Y, Yang Z-H, Huang D, Weng H, Zeng X-T. Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Mil Med Res. 2020;7(1):1–11.
Rice ME, Harris GT. Comparing effect sizes in follow-up studies: ROC Area, Cohen’s d, and r. Law Hum Behav. 2005;29(5):615–20.
Mesa JL, Ruiz JR, Ortega FB, Wärnberg J, González-Lamuño D, Moreno LA, et al. Aerobic physical fitness in relation to blood lipids and fasting glycaemia in adolescents: influence of weight status. Nutr Metab Cardiovasc Dis. 2006;16(4):285–93.
Ruiz JR, Ortega FB, Rizzo NS, Villa I, Hurtig-Wennlöf A, Oja L, et al. High cardiovascular fitness is associated with low metabolic risk score in children: the European Youth Heart Study. Pediatr Res. 2007;61(3):350–5.
Lobelo F, Pate RR, Dowda M, Liese AD, Ruiz JR. Validity of cardiorespiratory fitness criterion-referenced standards for adolescents. Med Sci Sports Exerc. 2009;41(6):1222–9.
Adegboye AR, Anderssen SA, Froberg K, Sardinha LB, Heitmann BL, Steene-Johannessen J, et al. Recommended aerobic fitness level for metabolic health in children and adolescents: a study of diagnostic accuracy. Br J Sports Med. 2011;45(9):722–8.
Moreira C, Santos R, Ruiz JR, Vale S, Soares-Miranda L, Marques AI, et al. Comparison of different VO2max equations in the ability to discriminate the metabolic risk in Portuguese adolescents. J Sci Med Sport. 2011;14(1):79–84.
Welk GJ, Laurson KR, Eisenmann JC, Cureton KJ. Development of youth aerobic-capacity standards using receiver operating characteristic curves. Am J Prev Med. 2011;41(4):S111–6.
Boddy LM, Thomas NE, Fairclough SJ, Tolfrey K, Brophy S, Rees A, et al. ROC generated thresholds for field-assessed aerobic fitness related to body size and cardiometabolic risk in schoolchildren. PLoS ONE. 2012;7(9):e45755.
Silva G, Aires L, Mota J, Oliveira J, Ribeiro JC. Normative and criterion-related standards for shuttle run performance in youth. Pediatr Exerc Sci. 2012;24(2):157–69.
Duncan MJ, Vale S, Santos MP, Ribeiro JC, Mota J. Cross validation of ROC generated thresholds for field assessed aerobic fitness related to weight status and cardiovascular disease risk in Portuguese young people. Am J Hum Biol. 2013;25(6):751–5.
Gonçalves R, Szmuchrowski LA, Prado LS, Couto BP, Machado JC, Damasceno VO, et al. Selected anthropometric variables and aerobic fitness as predictors of cardiovascular disease risk in children. Biol Sport. 2015;32(3):255.
Melo X, Santa-Clara H, Santos DA, Pimenta NM, Minderico CS, Fernhall B, et al. Linking cardiorespiratory fitness classification criteria to early subclinical atherosclerosis in children. Appl Physiol Nutr Metab. 2015;40(4):386–92.
Ruiz JR, Huybrechts I, Cuenca-García M, Artero EG, Labayen I, Meirhaeghe A, et al. Cardiorespiratory fitness and ideal cardiovascular health in European adolescents. Heart. 2015;101(10):766–73.
Silva DA, Tremblay MS, Pelegrini A, dos Santos Silva RJ, de Oliveira AC, Petroski EL. Association between aerobic fitness and high blood pressure in adolescents in Brazil: evidence for criterion-referenced cut-points. Pediatr Exerc Sci. 2016;28(2):312–20.
Buchan DS, Baker JS. Utility of body mass index, waist-to-height-ratio and cardiorespiratory fitness thresholds for identifying cardiometabolic risk in 10.4–17.6-year-old children. Obes Res Clin Pract. 2017;11(5):567–75.
Castro-Piñero J, Perez-Bey A, Segura-Jiménez V, Aparicio VA, Gómez-Martínez S, Izquierdo-Gomez R, et al. Cardiorespiratory fitness cut-off points for early detection of present and future cardiovascular risk in children: a 2-year follow-up study. Mayo Clin Proc. 2017;92(12):1753–62.
Nevill AM, Duncan MJ, Lahart IM, Sandercock G. Cardiorespiratory fitness and activity explains the obesity-deprivation relationship in children. Health Promot Int. 2018;33(3):479–87.
Pireva A, Selimi M, Gontarev S, Georgiev G. Association between aerobic fitness and high blood pressure in adolescents in Macedonia evidence for criterion-referenced cut-points. J Phys Educ Sport. 2018;18(2):853–61.
Ramírez-Vélez R, Correa-Bautista JE, Mota J, Garcia-Hermoso A. Comparison of different maximal oxygen uptake equations to discriminate the cardiometabolic risk in children and adolescents. J Pediatr. 2018;194:152–7.
Silva DA, Lang JJ, Barnes JD, Tomkinson GR, Tremblay MS. Cardiorespiratory fitness in children: evidence for criterion-referenced cut-points. PLoS ONE. 2018;13(8):e0201048.
Aadland E, Anderssen SA, Andersen LB, Resaland GK, Kolle E, Steene-Johannessen J. Aerobic fitness thresholds to define poor cardiometabolic health in children and youth. Scand J Med Sci Spor. 2019;29(2):240–50.
Agbaje AO, Haapala EA, Lintu N, Viitasalo A, Barker AR, Takken T, et al. Peak oxygen uptake cut-points to identify children at increased cardiometabolic risk—the PANIC study. Scand J Med Sci Spor. 2019;29(1):16–24.
Buchan DS, Knox G, Jones AM, Tomkinson GR, Baker JS. Utility of international normative 20 m shuttle run values for identifying youth at increased cardiometabolic risk. J Sport Sci. 2019;37(5):507–14.
Martínez-López EJ, Grao-Cruces A, De La Torre-Cruz MJ, Ruiz-Ariza A. Associations between physical fitness and academic performance in teenagers. S Afr J Res Sport Phys Educ Rec. 2019;41(1):63–75.
Prieto-Benavides DH, García-Hermoso A, Izquierdo M, Alonso-Martínez AM, Agostinis-Sobrinho C, Correa-Bautista JE, et al. Cardiorespiratory fitness cut-points are related to body adiposity parameters in Latin American adolescents. Medicina. 2019;55(9):508.
Smouter L, Smolarek AD, Souza WC, Lima VD, Mascarenhas LP. Cardiorespiratory fitness associated to teenagers’ fat: VO2Max cut-off point. Rev Paul Pediatr. 2019;37(1):73–81.
Lang JJ, Wolfe Phillips E, Hoffmann MD, Prince SA. Establishing modified Canadian Aerobic Fitness Test (mCAFT) cut-points to detect clustered cardiometabolic risk among Canadian children and youth aged 9 to 17 years. Appl Physiol Nutr Metab. 2020;45(3):311–7.
Lee EY, Barnes JD, Lang JJ, Silva DA, Tomkinson GR, Tremblay MS. Testing validity of FitnessGram in two samples of US adolescents (12–15 years). J Exerc Sci Fit. 2020;18(3):129–35.
Mazzoccante R, de Luca CH, de Santana FS, Câmara MA, de Sousa BC, de Sousa IC, et al. Attention and executive function are predicted by anthropometric indicators, strength, motor performance and aerobic fitness in children aged 6 to 10 years. Hum Mov. 2020;21(1):40–8.
Silva DA, Lang JJ, Petroski EL, Mello JB, Gaya AC, Tremblay MS. Association between 9-minute walk/run test and obesity among children and adolescents: evidence for criterion-referenced cut-points. Peer J. 2020;8:e8651.
The World Bank. World Bank Country and Lending Groups. http://data.worldbank.org/about/country-and-lending-groups. Cited 30 Dec 2020
Armstrong N, Davies B. An ergometric analysis of age group swimmers. Br J Sports Med. 1981;15:20–6.
Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O, et al. Child and adolescent mental health worldwide: evidence for action. Lancet. 2011;378(9801):1515–25.
Malla A, Shah J, Iyer S, Boksa P, Joober R, Andersson N, et al. Youth mental health should be a top priority for health care in Canada. Can J Psychiatry. 2018;63(4):216–22.
Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886–95.
Lubans D, Richards J, Hillman C, Faulkner G, Beauchamp M, Nilsson M, et al. Physical activity for cognitive and mental health in youth: a systematic review of mechanisms. Pediatrics. 2016;138(3):e20161642.
Leeflang MM. Systematic reviews and meta-analyses of diagnostic test accuracy. Clin Microbiol Infect. 2014;20(2):105–13.
Whiting P, Rutjes AW, Reitsma JB, Glas AS, Bossuyt PM, Kleijnen J. Sources of variation and bias in studies of diagnostic accuracy: a systematic review. Ann Intern Med. 2004;140(3):189–202.
Horsley T, Dingwall O, Sampson M. Checking reference lists to find additional studies for systematic reviews. Cochrane Database Syst Rev. 2011;2011(8):MR000026.
Rao G, Lopez-Jimenez F, Boyd J, D’Amico F, Durant NH, Hlatky MA, et al. Methodological standards for meta-analyses and qualitative systematic reviews of cardiac prevention and treatment studies: a scientific statement from the American Heart Association. Circulation. 2017;136(10):e172–94.
Acknowledgements
We would like to thank Katie O'Hearn (Children’s Hospital of Eastern Ontario) for methodological assistance. We also acknowledge the help of the authors of the included studies who provided additional details.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
This systematic review was funded by the Public Health Agency of Canada (#4500414210).
Conflict of interest
Scott Rollo, Brooklyn J. Fraser, Nick Seguin, Margaret Sampson, Justin J. Lang, Grant R. Tomkinson, and Mark S. Tremblay declare they have no conflicts of interest.
Disclaimer
The content and views expressed in this article are those of the authors and do not necessarily reflect those of the Government of Canada.
Availability of data and material
The datasets analyzed in this review are available from the corresponding authors on reasonable request.
Code availability
Not applicable.
Author contributions
SR screened the records, extracted the data and took responsibility for the integrity of the data, synthesized the results, and co-wrote the manuscript. BJF screened the records, checked the data for accuracy and took responsibility for the integrity of the data, contributed to the interpretation of the results, and critically reviewed the manuscript for important intellectual content. NS assisted with extracting the data and synthesizing the results, checked the data for accuracy and took responsibility for the integrity of the data, and critically reviewed the manuscript for important intellectual content. MS designed and executed the systematic search strategy and critically reviewed the manuscript for important intellectual content. JJL developed the research question, designed the systematic review, contributed to the interpretation of the results, and critically reviewed the manuscript for important intellectual content. GRT developed the research question, designed the systematic review, contributed to the interpretation of the results, and critically reviewed the manuscript for important intellectual content. MST developed the research question, designed the systematic review, had full access to the data, contributed to the interpretation of the results, and critically reviewed the manuscript for important intellectual content. All authors have read and approved the final version of the manuscript, agree to be accountable for all aspects of the work, and agree with the order of presentation of the authors.
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Rollo, S., Fraser, B.J., Seguin, N. et al. Health-Related Criterion-Referenced Cut-Points for Cardiorespiratory Fitness Among Youth: A Systematic Review. Sports Med 52, 101–122 (2022). https://doi.org/10.1007/s40279-021-01537-3
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40279-021-01537-3