Skip to main content

Advertisement

Log in

Cross-sectional associations of body size indicators and lifestyle behaviors with cardiorespiratory fitness among adolescents: an allometric approach

  • Original Article
  • Published:
Sport Sciences for Health Aims and scope Submit manuscript

Abstract

Aim

This study aimed to verify the associations of body size indicators and lifestyle behaviors with cardiorespiratory fitness (CRF) among adolescents using an allometric scale.

Methods

We evaluated 569 adolescents (53.6% females; mean age, 13.0 ± 1.0 years) from Florianópolis, Southern Brazil. The 20-m shuttle run was used to assess CRF, while a questionnaire was used to measure lifestyle behaviors (practicing sports and non-sports physical activity, different screen time components, sleep duration, healthy and unhealthy diet score, tobacco smoking, and alcohol consumption), and body size indicators (body mass and stature). Bayesian log-linear regression models were applied to identify the association of body size indicators and lifestyle behaviors with CRF.

Results

We found that body mass, stature, sports and non-sports physical activities, consumption of fruits and vegetables (healthy diet), and not smoking were related to greater CRF among adolescents.

Conclusions

Our results show that studies focused on increasing CRF should consider not only body size indicators but also lifestyle behaviors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Raghuveer G, Hartz J, Lubans DR et al (2020) Cardiorespiratory fitness in youth : an important marker of health—a scientific statement from the American heart association. Circulation 142:101–118. https://doi.org/10.1161/CIR.0000000000000866

    Article  Google Scholar 

  2. Mintjens S, Menting MD, Daams JG et al (2018) Cardiorespiratory fitness in childhood and adolescence affects future cardiovascular risk factors: a systematic review of longitudinal studies. Sport Med 48:2577–2605

    Article  Google Scholar 

  3. Yu CCW, McManus AM, Au CT et al (2019) Appropriate scaling approach for evaluating peak VO 2 development in southern Chinese 8 to 16 years old. PLoS ONE 14:1–17. https://doi.org/10.1371/journal.pone.0213674

    Article  CAS  Google Scholar 

  4. Ross R, Blair SN, Arena R et al (2016) Importance of assessing cardiorespiratory fitness in clinical practice : a case for fitness as a clinical vital sign. a scientific statement from the American heart association. Circulation 134:e653–e699. https://doi.org/10.1161/CIR.0000000000000461

    Article  PubMed  Google Scholar 

  5. Lang JJ, Tomkinson GR, Janssen I et al (2018) Making a case for cardiorespiratory fitness surveillance among children and youth. Exerc Sport Sci Rev 46:66–75. https://doi.org/10.1249/JES.0000000000000138

    Article  PubMed  Google Scholar 

  6. Tomkinson GR, Lang JJ, Tremblay MS (2017) 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 53:478–486. https://doi.org/10.1136/bjsports-2017-097982

    Article  PubMed  Google Scholar 

  7. Landry BW, Driscoll SW (2012) Physical activity in children and adolescents. PM RR 4:826–832. https://doi.org/10.1016/j.pmrj.2012.09.585

    Article  Google Scholar 

  8. Costa RM, Minatto G, Costa BGG, Silva KS (2021) Clustering of 24-h movement behaviors associated with cardiorespiratory fitness among adolescents: a latent class analysis. Eur J Pediatr 180:109–117. https://doi.org/10.1007/s00431-020-03719-z

    Article  PubMed  Google Scholar 

  9. da Costa BGG, Salmon J, dos Santos PC et al (2019) Clustering of screen time behaviours in adolescents and its association with waist circumference and cardiorespiratory fitness. J Sci Med Sport. https://doi.org/10.1016/j.jsams.2019.11.007

    Article  PubMed  Google Scholar 

  10. Fullagar HHK, Skorski S, Duffield R et al (2015) Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise. Sport Med 45:161–186. https://doi.org/10.1007/s40279-014-0260-0

    Article  Google Scholar 

  11. Lopes MVV, Da Costa BGG, Knebel MTG et al (2021) Psychosocial correlates of objectively measured in-school and out-of-school physical activity among Brazilian adolescents. Transl Behav Med 11:1849–1856. https://doi.org/10.1093/tbm/ibab044

    Article  PubMed  Google Scholar 

  12. Cuenca-García M, Huybrechts I, Ruiz JR et al (2013) Clustering of multiple lifestyle behaviors and health-related fitness in European adolescents. J Nutr Educ Behav 45:549–557. https://doi.org/10.1016/j.jneb.2013.02.006

    Article  PubMed  Google Scholar 

  13. Cuenca-García M, Ortega FB, Ruiz JR et al (2014) Combined influence of healthy diet and active lifestyle on cardiovascular disease risk factors in adolescents. Scand J Med Sci Sport 24:553–562. https://doi.org/10.1111/sms.12022

    Article  Google Scholar 

  14. de Werneck AO, Silva DR, Agostinete RR et al (2018) Social, behavioral and biological correlates of cardiorespiratory fitness according to sex, nutritional status and maturity status among adolescents. A cross-sectional study. Sao Paulo Med J 136:237–244. https://doi.org/10.1590/1516-3180.2017.0405190218

    Article  PubMed  PubMed Central  Google Scholar 

  15. World Health Organization and the United Nations Educational, Scientific and Cultural Organization (2021) Making every school a health-promoting school: implementation guidance. World Health Organization and the United Nations Educational Scientific and Cultural Organization, Geneva, Switzerland

    Google Scholar 

  16. Beard E, Lorencatto F, Gardner B et al (2022) Behavioral intervention components associated with cost-effectiveness: a comparison of six domains. Ann Behav Med 56:176–192. https://doi.org/10.1093/abm/kaab036

    Article  CAS  PubMed  Google Scholar 

  17. McMurray RG, Hosick PA, Bugge A (2011) Importance of proper scaling of aerobic power when relating to cardiometabolic risk factors in children. Ann Hum Biol 38:647–654. https://doi.org/10.3109/03014460.2011.598561

    Article  PubMed  Google Scholar 

  18. Lloyd LK, Bishop PA, Walker JL et al (2009) The influence of body size and composition on FITNESSGRAM ( r ) test performance and the adjustment of FITNESSGRAM ( r ) test scores for skinfold thickness in youth the influence of body size and composition on FITNESSGRAM ® test performance and the adjus. Meas Phys Educ Exerc Sci. https://doi.org/10.1207/S15327841MPEE0704

    Article  Google Scholar 

  19. Loftin M, Sothern M, Abe T, Bonis M (2016) Expression of VO2peak in children and youth, with special reference to allometric scaling. Sport Med 46:1451–1460. https://doi.org/10.1007/s40279-016-0536-7

    Article  Google Scholar 

  20. Armstrong N, Welsman JO (2020) Traditional and new perspectives on youth cardiorespiratory fitness. Med Sci Sports Exerc 52(12):2563–2573

    Article  PubMed  PubMed Central  Google Scholar 

  21. Armstrong N, Welsman J (2019) Sex-specific longitudinal modeling of youth peak oxygen uptake. Pediatr Exerc Sci 31:204–212. https://doi.org/10.1123/pes.2018-0175

    Article  PubMed  Google Scholar 

  22. Welsman J, Armstrong N (2019) Interpreting aerobic fitness in youth: the fallacy of ratio scaling. Pediatr Exerc Sci 31:184–190. https://doi.org/10.1123/pes.2018-0141

    Article  PubMed  Google Scholar 

  23. Armstrong N, Welsman J (2019) Clarity and confusion in the development of youth aerobic fitness. Front Physiol 10:1–7. https://doi.org/10.3389/fphys.2019.00979

    Article  Google Scholar 

  24. Nevill AM, Bate S, Holder RL (2005) Modeling physiological and anthropometric variables known to vary with body size and other confounding variables. Yearb Phys Anthropol 48:141–153. https://doi.org/10.1002/ajpa.20356

    Article  Google Scholar 

  25. Castro-Piñero J, Artero EG, España-Romero V et al (2010) Criterion-related validity of field-based muscular fitness tests in youth. Brithish J os Sport Med 44:934–943. https://doi.org/10.1136/bjsm.2009.058321

    Article  Google Scholar 

  26. Valente-Dos-Santos J, Coelho-E-Silva MJ, Tavares ÓM et al (2015) Allometric modelling of peak oxygen uptake in male soccer players of 8–18 years of age. Ann Hum Biol 42:126–134. https://doi.org/10.3109/03014460.2014.932007

    Article  Google Scholar 

  27. Werneck AO, Conde J, Coelho-E-Silva MJ et al (2019) Allometric scaling of aerobic fitness outputs in school-aged pubertal girls. BMC Pediatr 19:1–8. https://doi.org/10.1186/s12887-019-1462-2

    Article  Google Scholar 

  28. Ndabi J, Nevill AM, Sandercock GRH (2019) Cross-cultural comparisons of aerobic and muscular fitness in Tanzanian and english youth: an allometric approach. PLoS ONE 14:1–11. https://doi.org/10.1371/journal.pone.0211414

    Article  CAS  Google Scholar 

  29. Silva S, Bustamante A, Nevill A et al (2016) An allometric modelling approach to identify the optimal body shape associated with, and differences between Brazilian and Peruvian youth motor performance. PLoS ONE 11:1–14. https://doi.org/10.1371/journal.pone.0149493

    Article  CAS  Google Scholar 

  30. Haykowsky MJ, Scott JM, Hudson K, Denduluri N (2017) lifestyle interventions to improve cardiorespiratory fitness and reduce breast cancer recurrence. Am Soc Clin Oncol Educ B 37:57–64. https://doi.org/10.14694/edbk_175349

    Article  Google Scholar 

  31. Dunn AL, Marcus BH, Kampert JB et al (1999) Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: a randomized trial. J Am Med Assoc 281:327–334. https://doi.org/10.1001/jama.281.4.327

    Article  CAS  Google Scholar 

  32. Billingsley H, Rodriguez-Miguelez P, Del Buono MG et al (2019) Lifestyle interventions with a focus on nutritional strategies to increase cardiorespiratory fitness in chronic obstructive pulmonary disease, heart failure, obesity, sarcopenia, and frailty. Nutrients 11:1–25. https://doi.org/10.3390/nu11122849

    Article  Google Scholar 

  33. Hartwig TB, Sanders T, Vasconcellos D et al (2021) School-based interventions modestly increase physical activity and cardiorespiratory fitness but are least effective for youth who need them most: an individual participant pooled analysis of 20 controlled trials. Br J Sports Med 55:721–729. https://doi.org/10.1136/bjsports-2020-102740

    Article  Google Scholar 

  34. Silva KS, da Silva JA, Barbosa Filho VC et al (2020) Protocol paper for the Movimente school-based program. Medicine 99:e21233. https://doi.org/10.1097/md.0000000000021233

    Article  PubMed  PubMed Central  Google Scholar 

  35. Léger LA, Mercier D, Gadoury C, Lambert J (1988) The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 6:93–101

    Article  PubMed  Google Scholar 

  36. de Maria F, da S Duarte, Duarte CR, (2001) Validade do teste aeróbico de corrida de vai-e-vem de 20 metros. Rev Bras Ciên e Mov 9:7–14

    Google Scholar 

  37. da Silva KS, da Lopes AS, Hoefelmann LP et al (2013) Projeto COMPAC (comportamentos dos adolescentes catarinenses): aspectos metodológicos, operacionais e éticos. Rev Bras Cineantropometria e Desempenho Hum 15:1–15. https://doi.org/10.5007/1980-0037.2013v15n1p1

    Article  Google Scholar 

  38. Ainsworth BE, Haskell WL, Herrmann SD et al (2011) 2011 Compendium of physical activities: a second update of codes and MET values. Med Sci Sport Exerc 43:1575–1581. https://doi.org/10.1249/MSS.0b013e31821ece12

    Article  Google Scholar 

  39. da Costa BGG, de Barreto P, S, Silveira PM da, et al (2020) The association between practicing sport and non-sport physical activities and health-related quality of life of Brazilian adolescents: a cross-sectional study. Sci Sport 35:e109–e119. https://doi.org/10.1016/j.scispo.2020.02.003

    Article  Google Scholar 

  40. Barbosa Filho VC, Lopes ADS, Lima AB et al (2015) Rationale and methods of a cluster-randomized controlled trial to promote active and healthy lifestyles among Brazilian students: the “fortaleça sua Saúde” program energy balance-related behaviors. BMC Public Health. https://doi.org/10.1186/s12889-015-2543-2

    Article  PubMed  PubMed Central  Google Scholar 

  41. Paruthi S, Brooks LJ, Ambrosio CD et al (2016) Consensus statement of the american academy of sleep medicine. J Clin Sleep Med 12:1553–1561. https://doi.org/10.5664/jcsm.6288

    Article  Google Scholar 

  42. Kaiser HF (1974) An index of factorial simplicity. Psychometrika 39:31–36. https://doi.org/10.1007/BF02291575

    Article  Google Scholar 

  43. Nuzzo RL (2017) An introduction to bayesian data analysis for correlations. PM&R 9:1278–1282. https://doi.org/10.1016/j.pmrj.2017.11.003

    Article  Google Scholar 

  44. McElreath R (2015) Statistical rethinking: a Bayesian course with examples in R and Stan. Chapman & Hall/CRC Press, Boca Raton

    Google Scholar 

  45. Welsman J, Armstrong N (2019) Interpreting cardiorespiratory fitness in young clinical populations—folklore and fallacy. JAMA Pediatr 173:713–714. https://doi.org/10.1001/jamapediatrics.2019.1485

    Article  PubMed  Google Scholar 

  46. Welsman J, Armstrong N (2008) Interpreting exercise performance data in relation to body size. In: Armstrong N, van Mechelen W (eds) Paediatric exercise science and medicine, 2nd edn. Oxford University Press, New York

    Google Scholar 

  47. Lang JJ, Tremblay MS, Léger L et al (2017) International variability in 20 m shuttle run performance in children and youth : who are the fi ttest from a 50-country comparison ? A systematic literature review with pooling of aggregate results. Br J Sports Med 52:1–13. https://doi.org/10.1136/bjsports-2016-096224

    Article  CAS  Google Scholar 

  48. Nevill AM, Ramsbottom R, Sandercock G et al (2020) Developing a new curvilinear allometric model to improve the fit and validity of the 20-m shuttle run test as a predictor of cardiorespiratory fitness in adults and youth. Sport Med. https://doi.org/10.1007/s40279-020-01346-0

    Article  Google Scholar 

  49. Armstrong N, Tomkinson GR, Ekelund U (2011) Aerobic fi tness and its relationship to sport, exercise training and habitual physical activity during youth. Br J Sports Med. https://doi.org/10.1136/bjsports-2011-090200

    Article  PubMed  Google Scholar 

  50. Nes BM, Ksthus IBK, Welde B et al (2013) Peak oxygen uptake and physical activity in 13-to 18-year-olds: the young-HUNT study. Med Sci Sports Exerc 45:304–313. https://doi.org/10.1249/MSS.0b013e318271ae4d

    Article  PubMed  Google Scholar 

  51. Hsu RMCS, Valentova JV (2020) Motivation for diferent physical activities: a comparison among sports, exercises and body/movement practices. Psicol USP 31:1–10. https://doi.org/10.1590/0103-6564e190153

    Article  Google Scholar 

  52. Cabanas-Sánchez V, Martínez-Gómez D, Izquierdo-Gómez R et al (2018) Association between clustering of lifestyle behaviors and health-related physical fitness in youth: the UP&DOWN study. J Pediatr 199:41-48.e1. https://doi.org/10.1016/j.jpeds.2018.03.075

    Article  PubMed  Google Scholar 

  53. Eslami O, Zarei M, Shidfar F (2020) The association of dietary patterns and cardiorespiratory fitness: a systematic review. Nutr Metab Cardiovasc Dis 30:1442–1451. https://doi.org/10.1016/j.numecd.2020.04.017

    Article  PubMed  Google Scholar 

  54. Tambalis KD, Panagiotakos DB, Psarra G, Sidossis LS (2019) Association of cardiorespiratory fitness levels with dietary habits and lifestyle factors in schoolchildren. Appl Physiol Nutr Metab 44:539–545. https://doi.org/10.1139/apnm-2018-0407

    Article  PubMed  Google Scholar 

  55. García-Hermoso A, Ezzatvar Y, López-Gil JF et al (2020) Is adherence to the mediterranean diet associated with healthy habits and physical fitness? A systematic review and meta-analysis including 565,421 youths. Br J Nutr. https://doi.org/10.1017/S0007114520004894

    Article  PubMed  Google Scholar 

  56. De Borba AT, Jost RT, Gass R et al (2014) The influence of active and passive smoking on the cardiorespiratory fitness of adults. Multidiscip Respir Med 9:1–8. https://doi.org/10.1186/2049-6958-9-34

    Article  Google Scholar 

  57. Sydó N, Merkely B, Carta KAG et al (2018) Effect of cardiorespiratory fitness on co-morbidities and mortality in never, past, and current smokers. Am J Cardiol 122:1765–1772. https://doi.org/10.1016/j.amjcard.2018.08.012

    Article  PubMed  Google Scholar 

  58. Lotufo PA (2017) Smoking control in Brazil: a public health success story. Sao Paulo Med J 135:203–204. https://doi.org/10.1590/1516-3180.2017.1353230417

    Article  PubMed  PubMed Central  Google Scholar 

  59. Tomkinson GR, Lang JJ, Léger LA et al (2019) Response to criticisms of the 20 m shuttle run test: deflections, distortions and distractions. Br J Sport Med 53:1200–1201. https://doi.org/10.1136/bjsports-2018-100348

    Article  Google Scholar 

Download references

Acknowledgements

We thank the Municipal Department of Education of Florianópolis for its technical support and authorizing the execution of the study. We thank all members of the school community (managers, teachers, parents, and students) of the participating schools for their support during the study and the School of Sports of the Federal University of Santa Catarina for its technical support. We also thank the Movimente Study Working Group for conducting the study.

Funding

This work was supported in part by Conselho Nacional de Desenvolvimento Científico e Tecnológico—Brasil (CNPq) under grant 446227/2014-5. In addition, RMC is support by Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) and GTM is support by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001. Also, KSS receives Productivity Grant from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq process number: 305803/2020-4). The views of the funding agency had no influence on the content or conduct of the review.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study’s conception and design. The material preparation, data collection, and analyses were performed by RMC, BGGC, GM and GTM. Intellectual contributions were made by AP and KSS. The first draft of the manuscript was written by RMC, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Rafael Martins da Costa.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest of any kind.

Ethical approval

All procedures involving human participants were performed following the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This study was approved by the Research Ethics Committee of the Federal University of Santa Catarina (No.49462015.0.0000.0121).

Informed consent

Informed consent was obtained from all individual adolescents included in the study and their parents.

Consent to publish

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

da Costa, R.M., da Costa, B.G.G., Minatto, G. et al. Cross-sectional associations of body size indicators and lifestyle behaviors with cardiorespiratory fitness among adolescents: an allometric approach. Sport Sci Health 19, 701–712 (2023). https://doi.org/10.1007/s11332-022-00952-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11332-022-00952-x

Keywords

Navigation