Muscle Strength Indexes and Its Association With Cardiometabolic Risk Factors in Adolescents: An Allometric Approach

References

• Adami, F., & Vasconcelos, F. A. (2008). Obesidade e maturação sexual precoce em escolares de Florianópolis-SC. Revista Brasileira de Epidemiologia, 11(4), 549–560. https://doi.org/10.1590/S1415-790X2008000400004
   Google Scholar
• Añez, C. R., Reis, R. S., & Petroski, E. L. (2008). Brazilian version of a lifestyle questionnaire: Translation and validation for young adults. Arquivos brasileiros de cardiologia, 91(2), 92–98. https://doi.org/10.1590/s0066-782x2008001400006
   PubMed Web of Science ®Google Scholar
• Artero, E. G., España‐romero, V., Jiménez‐pavón, D., Martinez‐gómez, D., Warnberg, J., Gómez‐martínez, S., & Molnar, D. (2014). Muscular fitness, fatness and inflammatory biomarkers in adolescents. Pediatric Obesity, 9(5), 391–400. https://doi.org/10.1111/j.2047-6310.2013.00186.x
   PubMed Web of Science ®Google Scholar
• Artero, E. G., Lee, D. -C., Lavie, C. J., España-Romero, V., Sui, X., Church, T. S., & Blair, S. N. (2012). Effects of muscular strength on cardiovascular risk factors and prognosis. Journal of Cardiopulmonary Rehabilitation Prevention, 32(6), 351–358. https://doi.org/10.1097/HCR.0b013e3182642688
   PubMed Web of Science ®Google Scholar
• Barroso, W. K., Rodrigues, C. I., Bortolotto, L. A., Mota-Gomes, M. A., Brandão, A. A., Feitosa, A. D., & Mion, D. (2021). Diretrizes Brasileiras de Hipertensão Arterial–2020. Arquivos brasileiros de cardiologia, 116(3), 516–658. https://doi.org/10.36660/abc.20201238
   PubMed Web of Science ®Google Scholar
• Batterham, A. M., & George, K. P. (1997). Allometric modeling does not determine a dimensionless power function ratio for maximal muscular function. Journal of Applied Physiology, 83(6), 2158–2166. https://doi.org/10.1152/jappl.1997.83.6.2158
   PubMed Web of Science ®Google Scholar
• Batterham, A. M., Tolfrey, K., & George, K. P. (1997). Nevill’s explanation of Kleiber’s 0.75 mass exponent: An artifact of collinearity problems in least squares models? Journal of Applied Physiology, 82(2), 693–697. https://doi.org/10.1152/jappl.1997.82.2.693
   PubMed Web of Science ®Google Scholar
• Bloetzer, C., Bovet, P., Suris, J.-C., Simeoni, U., Paradis, G., & Chiolero, A. (2015). Screening for cardiovascular disease risk factors beginning in childhood. Public Health Reviews, 36(1), 1–9. https://doi.org/10.1186/s40985-015-0011-2
   PubMedGoogle Scholar
• Brazilian Association of Research Companies. (2010). Brazil Economic Classification Criterion. http://www.abep.org/criterio-brasil.
   Google Scholar
• Brazilian Society of Diabetes. (2019). DIRETRIZES DA SOCIEDADE BRASILEIRA DE DIABETES 2019-2020. Clannad Editora Científica.
   Google Scholar
• Bugge, A., El-Naaman, B., McMurray, R. G., Froberg, K., & Andersen, L. B. (2013). Tracking of clustered cardiovascular disease risk factors from childhood to adolescence. Pediatric Research, 73(2), 245–249. https://doi.org/10.1038/pr.2012.158
   PubMed Web of Science ®Google Scholar
• Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., & Chou, R. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451–1462. https://doi.org/10.1136/bjsports-2020-102955
   PubMed Web of Science ®Google Scholar
• Chatterjee, A., Harris, S. B., Leiter, L. A., Fitchett, D. H., Teoh, H., & Bhattacharyya, O. K. (2012). Managing cardiometabolic risk in primary care: Summary of the 2011 consensus statement. Canadian Family Physician, 58(4), 389–393.
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98–101. https://doi.org/10.1111/1467-8721.ep10768783
   Google Scholar
• de Lima, T. R., Martins, P. C., Guerra, P. H., & Silva, D. A. (2020). Muscular fitness and cardiovascular risk factors in children and adolescents: A systematic review. Journal of Strength and Conditioning Research, 34(8), 2394–2406. https://doi.org/10.1519/JSC.0000000000002840
   PubMed Web of Science ®Google Scholar
• de Lima, T. R., Martins, P. C., Moreno, Y. M. F., Chaput, J. -P., Tremblay, M. S., Sui, X., & Silva, D. A. S. (2022). Muscular fitness and cardiometabolic variables in children and adolescents: A systematic review. Sports Medicine, 52(7), 1–21. https://doi.org/10.1007/s40279-021-01631-6
   Web of Science ®Google Scholar
• de Lima, T. R., Martins, P. C., Torre, G. L., Mannocci, A., Silva, K. S., & Silva, D. A. (2020). Association between muscle strength and risk factors for metabolic syndrome in children and adolescents: A systematic review. Journal of Pediatric Endocrinology Metabolism, 1(1), 1–12. https://doi.org/10.1515/jpem-2020-0135
   Google Scholar
• de Lima, T. R., Sui, X., Lima, L. R., & Silva, D. A. Muscle strength and its association with cardiometabolic variables in adolescents: Does the expression of muscle strength values matter?. (2021). World Journal of Pediatrics, In press, 17(6), 597–608. https://doi.org/10.1007/s12519-021-00460-x
   PubMed Web of Science ®Google Scholar
• de Lima, T. R., Sui, X., & Silva, D. A. (2021). Normalization of muscle strength measurements in the assessment of cardiometabolic risk factors in Adolescents. International Journal of Environmental Research and Public Health, 18(16), 8428. https://doi.org/10.3390/ijerph18168428
   PubMed Web of Science ®Google Scholar
• Delgado-Alfonso, A., Pérez-Bey, A., Conde Caveda, J., Izquierdo-Gómez, R., Esteban-Cornejo, I., Gómez-Martínez, S., & Castro-Piñero, J. (2018). Independent and combined associations of physical fitness components with inflammatory biomarkers in children and adolescents. Pediatric Research, 84(5), 704–712. https://doi.org/10.1038/s41390-018-0150-5
   PubMed Web of Science ®Google Scholar
• Faludi, A. A., Izar, M. C., Saraiva, J. F., Chacra, A. P., Bianco, H. T., Afiune Neto, A., & Sposito, A. C. (2017). Atualização da diretriz brasileira de dislipidemias e prevenção da aterosclerose–2017. Arquivos brasileiros de cardiologia, 109(1), 1–76. https://doi.org/10.5935/abc.20170121
   Google Scholar
• Folland, J. P., McCauley, T. M., & Williams, A. G. (2008). Allometric scaling of strength measurements to body size. European Journal of Applied Physiology, 102(6), 739–745. https://doi.org/10.1007/s00421-007-0654-x
   PubMed Web of Science ®Google Scholar
• Giannini, D., Kuschnir, M., de Oliveira, C., Bloch, K., Schaan, B., Cureau, F., & Szklo, M. (2017). C-reactive protein in Brazilian adolescents: Distribution and association with metabolic syndrome in ERICA survey. European Journal of Clinical Nutrition, 71(10), 1206–1211. https://doi.org/10.1038/ejcn.2017.74
   PubMed Web of Science ®Google Scholar
• Gledhill, N., & Jamnik, V. (2003). Canadian physical activity, fitness and lifestyle approach. Canadian Society for Exercise Physiology.
   Google Scholar
• Guedes, D. P., & Lopes, C. C. (2010). Validação da versão brasileira do Youth Risk Behavior Survey 2007. Revista de Saúde Pública, 44(5), 840–850. https://doi.org/10.1590/S0034-89102010000500009
   PubMed Web of Science ®Google Scholar
• Hargreaves, M., & Spriet, L. L. (2020). Skeletal muscle energy metabolism during exercise. Nature Metabolism, 2(9), 817–828. https://doi.org/10.1038/s42255-020-0251-4
   PubMedGoogle Scholar
• Health, E. P. O. I. G. F. C., Children, R. R. I., & Adolescents. (2011). Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: Summary report. Pediatrics, 128(Supplement_5), S213–256.
   PubMedGoogle Scholar
• Izumiya, Y., Hopkins, T., Morris, C., Sato, K., Zeng, L., Viereck, J., & Walsh, K. (2008). Fast/Glycolytic muscle fiber growth reduces fat mass and improves metabolic parameters in obese mice. Cell Metabolism, 7(2), 159–172. https://doi.org/10.1016/j.cmet.2007.11.003
   PubMed Web of Science ®Google Scholar
• Jaric, S. (2002). Muscle strength testing. Sports Medicine, 32(10), 615–631. https://doi.org/10.2165/00007256-200232100-00002
   PubMed Web of Science ®Google Scholar
• Kang, Y., Park, S., Kim, S., & Koh, H. (2020). Handgrip strength among Korean adolescents with metabolic syndrome in 2014–2015. Journal of Clinical Densitometry, 23(2), 271–277. https://doi.org/10.1016/j.jocd.2018.09.002
   PubMed Web of Science ®Google Scholar
• Karp, N. A., Segonds-Pichon, A., Gerdin, A. -K.B., Ramírez-Solis, R., & White, J. K. (2012). The fallacy of ratio correction to address confounding factors. Laboratory Animals, 46(3), 245–252. https://doi.org/10.1258/la.2012.012003
   PubMed Web of Science ®Google Scholar
• Keskin, M., Kurtoglu, S., Kendirci, M., Atabek, M. E., & Yazici, C. (2005). Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics, 115(4), e500–503. https://doi.org/10.1542/peds.2004-1921
   PubMed Web of Science ®Google Scholar
• Kuhnen, M., Boing, A. F., Oliveira, M. C., Longo, G. Z., & Njaine, K. (2009). Smoking and associated factors in Brazilian adults: A population-based study. Revista Brasileira de Epidemiologia, 12(4), 615–626. https://doi.org/10.1590/S1415-790X2009000400011
   Google Scholar
• Kyu, H. H., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., & Abdelalim, A. (2018). Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: A systematic analysis for the global burden of disease study 2017. The Lancet, 392(10159), 1859–1922. https://doi.org/10.1016/S0140-6736(18)32335-3
   PubMed Web of Science ®Google Scholar
• Li, S., Zhang, R., Pan, G., Zheng, L., & Li, C. (2018). Handgrip strength is associated with insulin resistance and glucose metabolism in adolescents: Evidence from national health and nutrition examination survey 2011 to 2014. Pediatric Diabetes, 19(3), 375–380. https://doi.org/10.1111/pedi.12596
   PubMed Web of Science ®Google Scholar
• Lohman, T. G. (1986). Applicability of body composition techniques and constants for children and youths. Exercise Sport Sciences Reviews, 14, 325–357. https://doi.org/10.1249/00003677-198600140-00014
   PubMed Web of Science ®Google Scholar
• Luiz, R., & Magnanini, M. (2000). The logic of sample size determination in epidemiological research. Cadernos de Saúde Coletiva, 8(2), 9–28.
   Google Scholar
• Magnussen, C. G., Schmidt, M. D., Dwyer, T., & Venn, A. (2012). Muscular fitness and clustered cardiovascular disease risk in Australian youth. European Journal of Applied Physiology, 112(8), 3167–3171. https://doi.org/10.1007/s00421-011-2286-4
   PubMed Web of Science ®Google Scholar
• Matthews, D., Hosker, J., Rudenski, A., Naylor, B., Treacher, D., & Turner, R. (1985). Homeostasis model assessment: Insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 28(7), 412–419. https://doi.org/10.1007/BF00280883
   PubMed Web of Science ®Google Scholar
• McGill, H. C., Jr., McMahan, C. A., Zieske, A. W., Tracy, R. E., Malcom, G. T., Herderick, E. E., & Strong, J. P. (2000). Association of coronary heart disease risk factors with microscopic qualities of coronary atherosclerosis in youth. Circulation, 102(4), 374–379. https://doi.org/10.1161/01.CIR.102.4.374
   PubMed Web of Science ®Google Scholar
• Nevill, A. M., Tomkinson, G. R., Lang, J. J., Wutz, W., & Myers, T. D. (2021). How should adult handgrip strength be normalized? Allometry reveals new insights and associated reference curves. Medicine Science in Sports Exercise, 54(1), 162–168. https://doi.org/10.1249/MSS.0000000000002771
   Web of Science ®Google Scholar
• Onis, M., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85(09), 660–667. https://doi.org/10.2471/BLT.07.043497
   PubMedGoogle Scholar
• Pires-Neto, C., & Petroski, E. (1996). Issues about body fat equations related to children and youth. In C. Pires-Neto & E. Petroski (Eds.), Communication, movement and media in physical education [in Portuguese language] (Vol. 3, pp. 21–30). Federal University of Santa Catarina.
   Google Scholar
• Raj, M. (2012). Obesity and cardiovascular risk in children and adolescents. Indian Journal of Endocrinology Metabolism, 16(1), 13. https://doi.org/10.4103/2230-8210.91176
   PubMedGoogle Scholar
• Rizzo, A. C., Goldberg, T. B., Silva, C. C., Kurokawa, C. S., Nunes, H. R., & Corrente, J. E. (2013). Metabolic syndrome risk factors in overweight, obese, and extremely obese Brazilian adolescents. Nutrition Journal, 12(1), 1–7.
   PubMedGoogle Scholar
• Roberts, H. C., Denison, H. J., Martin, H. J., Patel, H. P., Syddall, H., Cooper, C., & Sayer, A. A. (2011). A review of the measurement of grip strength in clinical and epidemiological studies: Towards a standardised approach. Age and Ageing, 40(4), 423–429. https://doi.org/10.1093/ageing/afr051
   PubMed Web of Science ®Google Scholar
• Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., & Abdelalim, A. (2018). Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: A systematic analysis for the global burden of disease study 2017. The Lancet, 392(10159), 1736–1788. https://doi.org/10.1016/S0140-6736(18)32203-7
   PubMed Web of Science ®Google Scholar
• Schutte, N. M., Nederend, I., Hudziak, J. J., Geus, E. J., & Bartels, M. (2016). Differences in adolescent physical fitness: A multivariate approach and meta-analysis. Behavior Genetics, 46(2), 217–227. https://doi.org/10.1007/s10519-015-9754-2
   PubMed Web of Science ®Google Scholar
• Silva, K. S., Lopes, A. S., Hoefelmann, L. P., Cabral, L. G., Bem, M. F., Barros, M. V., & Nahas, M. V. (2013). Projeto COMPAC (comportamentos dos adolescentes catarinenses): aspectos metodológicos, operacionais e éticos. Brazilian Journal of Kinanthropometry and Human Performance, 15(1), 1–15. https://doi.org/10.5007/1980-0037.2013v15n1p1
   Google Scholar
• Smith, J. J., Eather, N., Morgan, P. J., Plotnikoff, R. C., Faigenbaum, A. D., & Lubans, D. R. (2014). The health benefits of muscular fitness for children and adolescents: A systematic review and meta-analysis. Sports Medicine, 44(9), 1209–1223. https://doi.org/10.1007/s40279-014-0196-4
   PubMed Web of Science ®Google Scholar
• Smith, J. J., Eather, N., Weaver, R. G., Riley, N., Beets, M. W., & Lubans, D. R. (2019). Behavioral correlates of muscular fitness in children and adolescents: A systematic review. Sports Medicine, 49(6), 887–904. https://doi.org/10.1007/s40279-019-01089-7
   PubMed Web of Science ®Google Scholar
• Steene-Johannessen, J., Kolle, E., Reseland, J. E., Anderssen, S. A., & Andersen, L. B. (2010). Waist circumference is related to low-grade inflammation in youth. International Journal of Pediatric Obesity, 5(4), 313–319. https://doi.org/10.3109/17477160903497035
   PubMed Web of Science ®Google Scholar
• Stewart, A., Marfell-Jones, M., Olds, T., & Ridder, H. (2011). International standards for anthropometric assessment. International Society for the Advancement of Kinanthropometry: International Society for Advancement of Kinanthropometry.
   Google Scholar
• Tambalis, K., Panagiotakos, D. B., Kavouras, S. A., & Sidossis, L. S. (2009). Responses of blood lipids to aerobic, resistance, and combined aerobic with resistance exercise training: A systematic review of current evidence. Angiology, 60(5), 614–632. https://doi.org/10.1177/0003319708324927
   PubMed Web of Science ®Google Scholar
• Tarp, J., Bugge, A., Møller, N. C., Klakk, H., Rexen, C. T., Grøntved, A., & Wedderkopp, N. (2019). Muscle fitness changes during childhood associates with improvements in cardiometabolic risk factors: A prospective study. Journal of Physical Activity, 16(2), 108–115. https://doi.org/10.1123/jpah.2017-0678
   Google Scholar
• Tuttle, C. S., Thang, L. A., & Maier, A. B. (2020). Markers of inflammation and their association with muscle strength and mass: A systematic review and meta-analysis. Ageing Research Reviews, 64, 101185. https://doi.org/10.1016/j.arr.2020.101185
   PubMed Web of Science ®Google Scholar
• Umer, A., Kelley, G. A., Cottrell, L. E., Giacobbi, P., Innes, K. E., & Lilly, C. L. (2017). Childhood obesity and adult cardiovascular disease risk factors: A systematic review with meta-analysis. BMC Public Health, 17(1), 1–24. https://doi.org/10.1186/s12889-017-4691-z
   PubMedGoogle Scholar
• Vanderburgh, P. M., Katch, F. I., Schoenleber, J., Balabinis, C. P., & Elliott, R. (1996). Multivariate allometric scaling of men’s world indoor rowing championship performance. Medicine Science in Sports Exercise, 28(5), 626–630. https://doi.org/10.1249/00005768-199605000-00015
   PubMed Web of Science ®Google Scholar
• Vanderburgh, P. M., Mahar, M. T., & Chou, C. H. (1995). Allometric scaling of grip strength by body mass in college-age men and women. Research Quarterly for Exercise Sport, 66(1), 80–84. https://doi.org/10.1080/02701367.1995.10607658
   PubMed Web of Science ®Google Scholar
• Wind, A. E., Takken, T., Helders, P. J., & Engelbert, R. H. (2010). Is grip strength a predictor for total muscle strength in healthy children, adolescents, and young adults? European Journal of Pediatrics, 169(3), 281–287. https://doi.org/10.1007/s00431-009-1010-4
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2011). Waist circumference and waist-hip ratio: Report of a WHO expert consultation, 8-11 December. 2008.
   Google Scholar
• Zimmet, P., Alberti, K. G. M., Kaufman, F., Tajima, N., Silink, M., Arslanian, S., & Caprio, S. (2007). The metabolic syndrome in children and adolescents–an IDF consensus report. Pediatric Diabetes, 8(5), 299–306. https://doi.org/10.1111/j.1399-5448.2007.00271.x
   PubMed Web of Science ®Google Scholar