Abstract
Background
We investigate the association between different muscle strength (MS) indices with cardiometabolic variables in adolescents.
Methods
Cross-sectional study comprising 351 adolescents (male 44.4%, age 16.6 ± 1.0 years) from Brazil. MS was assessed by handgrip strength and analyzed in five different ways: absolute MS and MS normalized for body weight, body mass index (BMI), height, and fat mass, respectively. Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure (DBP), waist circumference (WC), high-sensitive C-reactive protein (hs-CRP), lipid and glucose metabolism markers. Multiple linear regression models adjusted for confounding factors were used.
Results
Absolute MS and/or MS normalized for height was directly associated with WC [up to 32.8 cm, standard error (SE) = 4.7] and DBP (up to 8.8 mmHg, SE = 0.8), and inversely associated with high-density lipoprotein cholesterol (up to −8.0 mg/dL, SE = 14.1). MS normalized for body weight, BMI or fat mass was inversely associated with WC (up to −17.5 cm, SE = 2.2). According to sex, MS normalized for fat mass was inversely associated with triglycerides (male: 0.02 times lower, SE = 0.01; female: 0.05 times lower, SE = 0.01) and homeostatic model assessment for insulin resistance (male: 0.02 times lower, SE = 0.01; female: 0.06 times lower, SE = 0.01), and inversely associated with hs-CRP only among male (0.03 times lower, SE = 0.01).
Conclusion
When normalized for body weight, BMI or fat mass, MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.
Similar content being viewed by others
References
Smith JJ, Eather N, Morgan PJ, Plotnikoff RC, Faigenbaum AD, Lubans DR. The health benefits of muscular fitness for children and adolescents: a systematic review and meta-analysis. Sports Med. 2014;44:1209–23.
de Lima TR, Martins PC, Guerra PH, Silva DAS. Muscular fitness and cardiovascular risk factors in children and adolescents: a systematic review. J Strength Cond Res. 2020;34:2394–406.
de Lima TR, Martins PC, Torre GL, Mannocci A, Silva KS, Silva DA. Association between muscle strength and risk factors for metabolic syndrome in children and adolescents: a systematic review. J Pediatr Endocrinol Metab. 2020;34:1–12.
Jaric S. Muscle strength testing. Sports Med. 2002;32:615–31.
Artero EG, Lee DC, Lavie CJ, España-Romero V, Sui X, Church TS, et al. Effects of muscular strength on cardiovascular risk factors and prognosis. J Cardiopulm Rehabil Prev. 2012;32:351–8.
Wind AE, Takken T, Helders PJM, Engelbert RHH. Is grip strength a predictor for total muscle strength in healthy children, adolescents, and young adults? Eur J Pediatr. 2010;169:281–7.
Luiz R, Magnanini M. The logic of sample size determination in epidemiological research. Cad Saúde Coletiva. 2000;8:9–28.
Kuhnen M, Boing AF, Oliveira MCD, Longo GZ, Njaine K. Smoking and associated factors in Brazilian adults: a population-based study. Rev Bras Epidemiol. 2009;12:615–26.
Smith JJ, Eather N, Weaver RG, Riley N, Beets MW, Lubans DR. Behavioral correlates of muscular fitness in children and adolescents: a systematic review. Sports Med. 2019;49:887–904.
Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum; 1988.
Falkner B, Daniels SR. Summary of the fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Hypertension. 2004;44:387–8.
Stewart A, Marfell-Jones M, Olds T, De Ridder JH. International standards for anthropometric assessment. Lower Hutt: International Society for the Advancement of Kinanthropometry; 2011. p. 50–63.
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.
Lohman TG. Applicability of body composition techniques and constants for children and youths. Exerc Sport Sci Rev. 1986;14:325–57.
Pires-Neto C, Petroski E. Issues about body fat equations related to children and youth. In: Pires-Neto C, Petroski E, editors. Communication, movement and media in physical education (in Portuguese). Florianópolis: Federal University of Santa Catarina; 1996. p. 21–30.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28:412–9.
Gledhill N, Jamnik V. Canadian physical activity, fitness and lifestyle approach. Ottawa: Canadian Society for Exercise Physiology; 2003.
Brazilian Association of Research Companies. Brazil economic classification criterion. São Paulo: Brazilian Association of Research Companies; 2010.
Guedes DP, Lopes CC. Validation of the Brazilian version of the 2007 youth risk behavior survey. Rev Saude Publica. 2010;44:840–50.
World Health Organization. Global recommendations on physical activity for health. Geneva: World Health Organization; 2010.
da Silva KS, Lopes AS, Hoefelmann LP, Cabral LGA, De Bem MFL, de Barros MVG, et al. Health risk behaviors Project (COMPAC) in youth of the Santa Catarina State, Brazil: ethics and methodological aspects. Braz J Kinanthrop Hum Perform. 2013;15:1–15.
Añez CRR, Reis RS, Petroski EL. Brazilian version of a lifestyle questionnaire: translation and validation for young adults. Arq Bras Cardiol. 2008;91:92–8.
Tanner JM. Growth at adolescence. 2nd ed. Oxford: Blackwell Scientific Publications; 1962.
Adami F, Vasconcelos FAG. Obesity and early sexual maturation among students from Florianopolis-SC. Rev Bras Epidemiol. 2008;11:549–60.
Williams R. Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata J. 2012;12:308–31.
Kim G, Kim JH. Impact of skeletal muscle mass on metabolic health. Endocrinol Metab (Seoul). 2020;35:1–6.
Moore BA, Bemben DA, Lein DH, Bemben MG, Singh H. Fat mass is negatively associated with muscle strength and jump test performance. J Frailty Aging. 2020;9:214–8.
de Lima TR, Sui X, Silva DAS. Normalization of muscle strength measurements in the assessment of cardiometabolic risk factors in adolescents. Int J Environ Res Public Health. 2021;18:8428.
Tomlinson DJ, Erskine RM, Morse CI, Winwood K, Onambélé-Pearson G. The impact of obesity on skeletal muscle strength and structure through adolescence to old age. Biogerontology. 2016;17:467–83.
Wolfe RR. The underappreciated role of muscle in health and disease. Am J Clin Nutr. 2006;84:475–82.
Sayer AA, Syddall H, Martin H, Patel H, Baylis D, Cooper C. The developmental origins of sarcopenia. J Nutr Health Aging. 2008;12:427–32.
Moliner-Urdiales D, Ruiz JR, Vicente-Rodriguez G, Ortega FB, Rey-Lopez JP, España-Romero V, et al. Associations of muscular and cardiorespiratory fitness with total and central body fat in adolescents: the HELENA study. Br J Sports Med. 2011;45:101–8.
Bouchard C, Blair SN, Haskell WL. Physical activity and health. Champaign: Human Kinetics; 2012.
Ray CA, Carrasco DI. Isometric handgrip training reduces arterial pressure at rest without changes in sympathetic nerve activity. Am J Physiol Heart Circ Physiol. 2000;279:H245–9.
Hill JO. Understanding and addressing the epidemic of obesity: an energy balance perspective. Endocr Rev. 2006;27:750–61.
Delgado-Alfonso A, Pérez-Bey A, Conde-Caveda J, Izquierdo-Gómez R, Esteban-Cornejo I, Gómez-Martínez S, et al. Independent and combined associations of physical fitness components with inflammatory biomarkers in children and adolescents. Pediatr Res. 2018;84:704–12.
Eder K, Baffy N, Falus A, Fulop AK. The major inflammatory mediator interleukin-6 and obesity. Inflamm Res. 2009;58:727–36.
Ruiz JR, Ortega FB, Wärnberg J, Moreno LA, Carrero JJ, Gonzalez-Gross M, et al. Inflammatory proteins and muscle strength in adolescents: the Avena study. Arch Pediatr Adolesc Med. 2008;162:462–8.
Schaap LA, Pluijm SMF, Deeg DJH, Harris TB, Kritchevsky SB, Newman AB, et al. Higher inflammatory marker levels in older persons: associations with 5 year change in muscle mass and muscle strength. J Gerontol A Biol Sci. 2009;64:1183–9.
Schaap LA, Pluijm SM, Deeg DJ, Visser M. Inflammatory markers and loss of muscle mass (sarcopenia) and strength. Am J Med. 2006;119:e9-17.
Serrano NC, Suarez DP, Silva AR, Gamboa-Delgado E, Quintero-Lesmes DC. Association between body fat mass and cardiometabolic risk in children and adolescents in Bucaramanga. Colombia Int J Pediatr Adolesc Med. 2019;6:135–41.
Li Y, Zou Z, Luo J, Ma J, Ma Y, Jing J, et al. The predictive value of anthropometric indices for cardiometabolic risk factors in Chinese children and adolescents: a national multicenter school-based study. PLoS One. 2020;15:e0227954.
Kyle UG, Schutz Y, Dupertuis YM, Pichard C. Body composition interpretation: contributions of the fat-free mass index and the body fat mass index. Nutrition. 2003;19:597–604.
Diez-Fernandez A, Sanchez-Lopez M, Gulias-Gonzalez R, Notario-Pacheco B, Canete Garcia-Prieto J, Arias-Palencia N, et al. BMI as a mediator of the relationship between muscular fitness and cardiometabolic risk in children: a mediation analysis. PLoS One. 2015;10:e0116506.
Acknowledgements
The authors would like to thank the team of the Clinical Analysis Laboratory of the University Hospital “Professor Polydoro Ernani de São Thiago” at Federal University of Santa Catarina, Florianópolis, Brazil, for conducting blood tests. Dr. Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001 and Dr. Silva is supported in part by CNPq (302028/2018-8).
Funding
This study was not funded.
Author information
Authors and Affiliations
Contributions
dLTR contributed to conceptualization, methodology, software, formal analysis, investigation, resources, data curation, and writing of original draft preparation. SX contributed to conceptualization, methodology, investigation, review and editing. ALLR contributed to conceptualization, methodology, investigation, review and editing. SSDA contributed to conceptualization, methodology, investigation, review and editing, supervision, and project administration. All authors have read and agreed to the published version of the manuscript.
Corresponding author
Ethics declarations
Ethical approval
The study was approved by the Ethics Committee on Human Research of the Federal University of Santa (protocol nº 3.523.470).
Conflict of interest
No financial or non-financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article. The authors have no conflict of interest to declare.
Data availability
All authors approve to deposit data that support the findings of their research in a public repository.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
de Lima, T.R., Sui, X., de Lima, L.R.A. et al. Muscle strength and its association with cardiometabolic variables in adolescents: does the expression of muscle strength values matter?. World J Pediatr 17, 597–608 (2021). https://doi.org/10.1007/s12519-021-00460-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12519-021-00460-x