Social, behavioral and biological correlates of cardiorespiratory fitness according to sex, nutritional status and maturity status among adolescents. A cross-sectional study
Keywords:
Physical fitness, Adolescent health, Motor activity, Social classAbstract
BACKGROUND: Our aim was to analyze multilevel correlates of cardiorespiratory fitness (CRF) according to sex, nutritional status and maturity status among adolescents. DESIGN AND SETTING: Cross-sectional study conducted in public schools. METHODS: This was a cross-sectional study on 1,209 adolescents aged between 10 and 17 years. CRF was estimated from the 20-meter shuttle run test. Anthropometric data on body mass index and waist circumference were obtained. Somatic maturation was assessed from the peak height velocity. Questionnaires were used to evaluate socioeconomic variables (family income, parents’ education level and number of siblings) and behavioral variables (physical activity, screen time and alcohol and tobacco consumption) among the parents and adolescents. RESULTS: Boys, adolescents with normal weight and on-time maturers presented greater CRF (P < 0.05). Concerning socioeconomic correlates, girls (tobacco smoking, alcohol consumption, physical activity and screen time), adolescents with normal weight (alcohol consumption, physical activity and screen time), and on-time maturers (alcohol consumption, physical activity during childhood and habitual physical activity) demonstrated higher numbers of behavioral correlates with CRF. Normal-weight adolescents presented a higher number of biological correlates (chronological age, age at peak height velocity and waist circumference). CONCLUSIONS: Different correlates were observed according to sex, nutritional status and somatic maturation status. However, habitual physical activity, waist circumference and chronological age seemed to be the strongest factors associated with cardiorespiratory fitness among adolescents.
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Wilmore J, Costill D. Physiology of sport and exercise. Champaign, IL: Human Kinetics; 2004. ISBN-10: 0736045791.
Tompuri T, Lintu N, Savonen K, et al. Measures of cardiorespiratory fitness in relation to measures of body size and composition among children. Clin Physiol Funct Imaging. 2015;35(6):469-77. PMID: 25164157; doi: 10.1111/cpf.12185.
Machado-Rodrigues AM, Leite N, Coelho-e-Silva MJ, et al. Independent association of clustered metabolic risk factors with cardiorespiratory fitness in youth aged 11-17 years. Ann Hum Biol. 2014;41(3):271-6. PMID: 24702626; doi: 10.3109/03014460.2013.856471.
Silva D, Werneck AO, Collings P, et al. Cardiorespiratory fitness is related to metabolic risk independent of physical activity in boys but not girls from Southern Brazil. Am J Hum Biol. 2016;28(4):534-8. PMID: 26762308; doi: 10.1002/ajhb.22826.
Nauman J, Nes BM, Lavie CJ, et al. Prediction of Cardiovascular Mortality by Estimated Cardiorespiratory Fitness Independent of Traditional Risk Factors: The HUNT Study. Mayo Clin Proc. 2017;92(2):218-27. PMID: 27866655; doi: 10.1016/j.mayocp.2016.10.007.
Sorić M, Jembrek Gostović M, Gostović M, Hočevar M, Mišigoj-Duraković M. Tracking of BMI, fatness and cardiorespiratory fitness from adolescence to middle adulthood: the Zagreb Growth and Development Longitudinal Study. Ann Hum Biol. 2014;41(3):238-43. PMID: 24200353; doi: 10.3109/03014460.2013.851739.
Barbosa Filho VC, Lopes Ada S, Bozza R, Rech CR, de Campos W. Correlates of cardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav. 2014;38(1):42-52. PMID: 24034679; doi: 10.5993/AJHB.38.1.5.
Mota J, Guerra S, Leandro C, et al. Association of maturation, sex, and body fat in cardiorespiratory fitness. Am J Hum Biol. 2002;14(6):707-12. PMID: 12400030; doi: 10.1002/ajhb.10086.
Malina RM, Bouchard C, Bar-Or O. Growth, Maturation, and Physical Activity. 2nd ed. Champaign: Human Kinetics; 2004. ISBN-10 0880118822.
Valente-Dos-Santos J, Coelho-E-Silva MJ, Ferraz A, et al. Scaling left ventricular mass in adolescent boys aged 11-15 years. Ann Hum Biol. 2014;41(5):465-8. PMID: 24392758; doi: 10.3109/03014460.2013.866694.
Cumming SP, Sherar LB, Pindus DM, et al. A biocultural model of maturity-associated variance in adolescent physical activity. International Review of Sport and Exercise Psychology. 2012;5(1):23-43. doi: 10.1080/1750984X.2011.630481.
Nevill AM, Holder RL. Modelling Maximum Oxygen Uptake - A Case-Study in Non-Linear Regression Model Formulation and Comparison. Journal of the Royal Statistical Society. 1994;43(4):653-66. doi: 10.2307/2986263.
Loftin M, Sothern M, Abe T, Bonis M. Expression of VO2 peak in Children and Youth, with Special Reference to Allometric Scaling. Sport Med. 2016;46(10):1451 -60. PMID: 27139725; doi: 10.1007/s40279-016-0536-7.
Luiz RR, Magnanini MMF. A lógica da determinação do tamanho da amostra em investigações epidemiológicas [The logic of sample size determination in epidemiological research]. Cad Saúde Colet (Rio J). 2000;8(2):9-28.
Léger LA, Lambert J. A maximal multistage 20-m shuttle run test to predict VO2 max. Eur J Appl Physiol Occup Physiol. 1982;49(1):1-12. PMID: 7201922.
Léger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. 1988;6(2):93-101. PMID: 3184250; doi: 10.1080/02640418808729800.
Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002;34(4):689-94. PMID: 11932580.
Gordon CC, Chumlea WC, Roche AF. Stature, recumbent length, and weight. In: G LT, F RA, Martorel R, editors. Anthropometric standardization reference manual. Champaign: Human Kinetics Books; 1988. p. 3-8. ISBN-10: 0873221214; ISBN-13: 978-0873221214.
World Health Organization - WHO. Waist circumference and waist-hip ratio: report of a WHO expert consultation. Geneva: World Health Organization; 2011. Available from: Available from: http://apps.who.int/iris/handle/10665/44583 Accessed in 2018 (Feb 23).
World Health Organization - WHO. Global recommendations on physical activity for health. Geneva: World Health Organization ; 2010. Available from: Available from: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf Accessed in 2018 (Feb 23).
de Castro V, de Moraes SA, de Freitas IC. Concordância de medidas antropométricas em estudo epidemiológico de base populacional. Ribeirão Preto, SP, 2006. Projeto OBEDIARP [Agreement of anthropometric measures in a population-based epidemiological study. Ribeirão Preto, SP, 2006. OBEDIARP Project]. Rev Bras Epidemiol. 2010;13(1):58-68. PMID: 20683555; doi: 10.1590/S1415-790X2010000100006.
Baecke JA, Burema J, Frijters JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36(5):936-42. PMID: 7137077.
Fernandes RA, Zanesco A. Early physical activity promotes lower prevalence of chronic diseases in adulthood. Hypertens Res. 2010;33(9):926-31. PMID: 20574424; doi: 10.1038/hr.2010.106.
Lima MC, Barbosa MF, Diniz TA, et al. Early and current physical activity: Relationship with intima-media thickness and metabolic variables in adulthood. Braz J Phys Ther. 2014;18(5):462-9. PMID: 25372009.
Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224-7. PMID: 9126524.
Goran M, Fields DA, Hunter GR, Herd SL, Weinsier RL. Total body fat does not influence maximal aerobic capacity. Int J Obes. 2000;24(7):841-8. PMID: 10918530.
Bauman AE, Reis RS, Sallis JF, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258-71. PMID: 22818938; doi: 10.1016/S0140-6736(12)60735-1.
Pate RR, Long BJ, Heath G. Descriptive Epidemiology of Physical Activity in Adolescents. Pediatr Exerc Sci. 1994;6(4):434-47. doi 10.1123/pes.6.4.434.
Nevill A, Holder R. Modelling health-related performance indices. Ann Hum Biol. 2000;27(6):543-59. PMID: 11110221.
McDonald SM, Ortaglia A, Bottai M, Supino C. Differential association of cardiorespiratory fitness and central adiposity among US adolescents and adults: A quantile regression approach. Prev Med (Baltim). 2016;88:1-7. doi: 10.1016/j.ypmed.2016.03.014.
Konharn K, Santos MP, Ribeiro JC. Socioeconomic status and objectively measured physical activity in Thai adolescents. J Phys Act Health. 2014;11(4):712-20. PMID: 23493236; doi: 10.1123/jpah.2011-0424.
Lau RR, Hartman KA. Development and change of young adults’ preventive health beliefs and behavior: influence from parents and peers J Health Soc Behav. 1990;31(3):240-59. PMID: 2133479.
Peter I, Papandonatos GD, Belalcazar LM, et al. Genetic modifiers of cardiorespiratory fitness response to lifestyle intervention. Med Sci Sports Exerc. 2014;46(2):302-11. PMID: 23899896; doi: 10.1249/MSS.0b013e3182a66155.
Carrel AL, McVean JJ, Clark RR, et al. School-based exercise improves fitness, body composition, insulin sensitivity, and markers of inflammation in non-obese children. J Pediatr Endocrinol Metab. 2009;22(5):409-15. PMID: 19618659.
Hall WD, Patton G, Stockings E, et al. Why young people’s substance use matters for global health. Lancet Psychiatry. 2016;3(3):265-79. PMID: 26905482; doi: 10.1016/S2215-0366(16)00013-4.
Fernandes RA, Coelho-E-Silva MJ, Spiguel Lima MC, et al. Possible underestimation by sports medicine of the effects of early physical exercise practice on the prevention of diseases in adulthood. Curr Diabetes Rev. 2015;11(3):201-5. PMID: 25828743.
Lesjak V, Stanojević-Jerković O. Physical Activity, Sedentary Behavior and Substance Use Among Adolescents in Slovenian Urban Area. Zdr Varst. 2015;54(3):168-74. PMID: 27646724; doi: 10.1515/sjph-2015-0024.
Drenowatz C, Wartha O, Klenk J, et al. Differences in health behavior, physical fitness, and cardiovascular risk in early, average, and late mature children. Pediatr Exerc Sci. 2013;25(1):69-83. PMID: 23406708.
Brown HE, Atkin AJ, Panter J, et al. Family-based interventions to increase physical activity in children: a systematic review, meta-analysis and realist synthesis. Obes Rev. 2016;17(4):345-60. PMID: 26756281; doi: 10.1111/obr.12362.
