Perimetria da cintura e abdomen: avaliação do ponto ótimo em pacientes com fator de risco para doenças cardiovasculares e em indivíduos aparentemente saudáveis

Autores/as

DOI:

https://doi.org/10.62827/fb.v25i1.9884

Palabras clave:

síndrome metabólica; obesidade; exercício físico; estilo de vida; atenção primária em saúde.

Resumen

Introdução: Um dos critérios para estratificação do risco cardiometabólico (RMC) é a circunferência da cintura (CC). No entanto, algumas diretrizes usaram a circunferência abdominal (ABC). Objetivo: Avaliar e comparar a validade da CC e do ABC na determinação da RMC em indivíduos adultos aparentemente saudáveis ou com fatores de risco para doenças cardiovasculares em ambos os sexos. Métodos: cento e noventa e três homens e duzentas e vinte mulheres (18 a 74 anos). Foi aplicado o teste de Wilcoxon e aplicados os resultados apresentados em mediana e intervalos interquartis. Foram desenvolvidas fórmulas e aplicadas as Correlações de Spearman. Foi realizado o teste de concordância de Bland-Altman e o cálculo da diferença percentual dos grupos. O nível de significância adotado foi (p<0,05) e as análises foram realizadas no software Sigma Plot para Windows versão 11.0, copyright© 2008 System Software, Inc. Resultados: Os grupos apresentaram diferença significativa para o homem (p=0,032) com valores para WC 86,5(80-97) cm e ABC 89,5(83-101) cm. E para as mulheres apresentou diferença significativa para (p=0,001) com valores de CC 79(72-88) cm e ABC 86(79,5-97) cm. As diferenças percentuais foram de 9,8 para os homens e 46,8 para as mulheres, e as correlações de (r=0,98) e (r=0,96), respectivamente. As diferenças entre a comparação das medidas que apresentaram divergência na classificação da RMC foram (p=0,001)/ambos os sexos. As fórmulas foram desenvolvidas no Software Sigma Plot - WC=0,75+0,98X (ABC) para homens e mulheres - WC=2,52+0,89X(ABC). Conclusão: Em ambos os sexos, as medidas antropométricas apresentaram diferenças significativas e se o ABC fosse adotado, quase metade da amostra feminina seria incluída erroneamente na classificação da RMC.

Biografía del autor/a

  • Tiago Chaves, UFRJ

    Doutor em Educação Física, Grupo de Pesquisa em Avaliação e Reabilitação Cardiorrespiratória, Faculdade de Fisioterapia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil

  • Clóvis de Albuquerque Maurício, UFRJ

    Mestre em Educação Física, Grupo de Pesquisa em Avaliação e Reabilitação Cardiorrespiratória, Faculdade de Fisioterapia, Universidade Federal do Rio de Janeiro, (UFRJ), Rio de Janeiro, RJ, Brasil

  • Michel Reis, UFRJ

    Doutor em Fisioterapia, Grupo de Pesquisa em Avaliação e Reabilitação Cardiorrespiratória, Faculdade de Fisioterapia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil

Referencias

Scheja L, Heeren J. The Endocrine Function of Adipose Tissues in Health and Cardiometabolic Disease. Nat Rev Endocrinol. 2019;15(9):507-24.

Bornachea O, Vea A, Llorente-Cortes V. Interplay between Epicardial Adipose Tissue, Metabolic and Cardiovascular Diseases. Clin Investig Arterioscler. 2018;30(5):230-9.

Oikonomou EK, Antoniades C. The Role of Adipose Tissue in Cardiovascular Health and Disease. Nat Rev Cardiol. 2019;16(2):83-99.

O'Rourke WR. Adipose Tissue and the Physiologic Underpinnings of Metabolic Disease. Surg Obes Relat Dis. 2018;14(11):1755-63.

Engin A. The Definition and Prevalence of Obesity and Metabolic Syndrome. Adv Exp Med Biol.2017;960:1-17.

Anchuelo AC, Martínez-Larrad MT, Serrano-García I, Pérez CF, Serrano-Ríos M. Body fat anthropometric indexes: Which of those identify better high cardiovascular risk subjects? A comparative study in Spanish population. PLos One. 2019;14(5):e0216877.

Zerga AA, Bezabih AM, Adhanu AK, Tadesse SE. Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia. Diabetes Metab Syndr Obes. 2020; 23:13:1297-1304.

Kotseva K, Bacquer D, Backer G, Rydén L, Jennings C, Gyberg V, et al. Lifestyle and risk factor management in people at high risk of cardiovascular disease. A report from the European Society of Cardiology European Action on Secondary and Primary Prevention by Intervention to Reduce Events (EUROASPIRE) IV cross-sectional survey in 14 European regions. Eur J Prev Cardiol. 2016;23(18):2007-18.

Chang M, Lee H, Seo SM, Koh Y, Park H, Kim P, et al. The impact of educational attainment on cardiorespiratory fitness and metabolic syndrome in Korean adults. Medicine (Baltimore). 2020;99(17):e19865.

Brazilian Association for the Study of Obesity and Metabolic Syndrome. Brazilian Obesity Guidelines 2016/ABESO - Brazilian Association for the Study of Obesity and Metabolic Syndrome. - 4.ed. - São Paulo, SP.

Malachias MB, Souza WK, Plavnik FL, Rodrigues CI, Brandão AA, Neves MF, et al. Brazilian Society of Cardiology. 7th Brazilian Arterial Hypertension Guideline: Chapter 14–Hypertensive Crisis. Arq Bras Cardiol. 2016;107(3):1-103.

Chaves TO. Reis MS. Abdominal Circumference or Waist Circumference? IJCS. 2019;32(3):290-2.

Stewart AD, Marfell-Jones MJ, Ridder JH. International standards for anthropometric assessment. Lower Hutt, New Zealand: International Society for the Advancement of Kinanthropometry - ISAK, 2011.

Mbanya VN, Kengne AP, Mbanya JC, Akhtar H. Body mass index, waist circumference, waist-hip-ratio and waist-height-ratio: which is the better discriminator of prevalent screen-detected diabetes in Cameroonian population? Diabetes Res Clin Pract. 2015;108(1):23-30.

Yamagishi K., Hiroyasu I. The criteria for metabolic syndrome and the national health screening and education system in Japan. Epidemiol Health. 2017;39: e2017003.

World health organization. (WHO). Obesity: preventing and managing the global epidemic. Geneva, Geneva, 1998.

Hopkins WG. Measures of reliability in sports medicine and science. Sports Med. 2000;30(1);1-15.

Molina-luque R, Romero-Saldaña M, Álvarez-Fernández C, Rodríguez-Guerrero E, Hernández-Reyes A, Molina-Recio G. Waist to Height Ratio and Metabolic Syndrome as lung dysfunction predictors. Sci Rep. 2020;10(1):7212.

Özcan RK, Özmen SG. The Association Between Migraine, Metabolic Syndrome, Insulin Resistance, and Obesity in Women: A Case-Control Study. Sisli Etfal Hastan Tip Bul. 2019;53(4):395-402.

Chao J, Xia Y, Tong S, Wu Q, Zhao Y. Association of handgrip strength with the prevalence of metabolic syndrome in US adults: the national health and nutrition examination survey. Aging (Albany NY). 2020;12(9):7818-29.

Tremblay A, Bélanger M, Dhaliwal R, Brauer P, Royall D, Mutch DM. Impact of a multidisciplinary intervention on physical fitness, physical activity habits and the association between aerobic fitness and components of metabolic syndrome in adults diagnosed with metabolic syndrome. Arch Public Health. 2020;78:22.

Weiderpass E, Botteri E, Longenecker JC, Alkandari A, Al-Wotayan R, Duwairi QA, et al. The Prevalence of Overweight and Obesity in an Adult Kuwaiti Population in 2014. Front Endocrinol (Lausanne). 2019;10:449.

Li R, Shi L, Jia J, Li Y, Yang Q, Ruan Y, et al. Differentiating the associations of waist circumference and body mass index with cardiovascular disease risk in a Chinese population. Asia-Pacific Journal of Public Health. 2015;27(2):457-67.

Ng NY, Jiang G, Cheung LP, Zhang Y, Tam CH, Luk AO, et al. Progression of glucose intolerance and cardiometabolic risk factors over a decade in Chinese women with polycystic ovary syndrome: A case-control study. PLoS Med. 2019;16(10): e1002953.

Merrill RK, Kim JS, Leven DM, Kim JH, Meaike JJ, Bronheim RS, et al. Differences in fundamental sagittal pelvic parameters based on age, sex, and race. Clin Spine Surg. 2018;31(2):109-14.

Opie LH. Metabolic Syndrome. Circulation. 2007;115(3):e32-5.

Oliveira A, Cocate PG, Hermsdorff HH, Bressan J, Silva MF, Rodrigues JA, et al. Waist circumference measures: cutoff analyses to detect obesity and cardiometabolic risk factors in a Southeast Brazilian middle-aged men population-a cross-sectional study. Lipids Health Dis. 2014;13(141).

Hetherington‐Rauth M, Bea JW, Lee VR, Blew RM, Funk JL, Lohman TG, et al. Relationship between fat distribution and cardiometabolic risk in Hispanic girls. Am J Hum Biol. 2018;30(5): e23149.

Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, Horlick M, Kotler D, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003;77(2):379-84.

Saklayen MG. The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep. 2018;20(2):12.

Dong-Chul S, Siyoung C, Mohammad RT. Is waist circumference ≥102/88cm better than body mass index ≥30 to predict hypertension and diabetes development regardless of gender, age group, and race/ethnicity? Meta-analysis. Prev Med. 2017;97:100-8

Perona SJ, Rio-Valle JS, Ramírez-Vélez R, Correa-Rodríguez M, Fernández-Aparicio A, González-Jiménez E. Waist Circumference and Abdominal Volume Index Are the Strongest Anthropometric Discriminators of Metabolic Syndrome in Spanish Adolescents. Eur J Clin Invest. 2019;49(3):e13060.

Sareban HM, Mirhosseini SJ, Mirzaei M, Namayandeh SM, Beiki O, Gannar F, et al. The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study. Int J Prev Med. 2020;11:33.

Chertow GM, Appel GB, Block GA, Chin MP, Coyne DW, Goldsberry A, et al. Effects of Bardoxolone Methyl on Body Weight, Waist Circumference and Glycemic Control in Obese Patients With Type 2 Diabetes Mellitus and Stage 4 Chronic Kidney Disease. J Diabetes Complications. 2018;32(12):1113-7.

Correa-Burrows P, Blanco E, Gahagan S, Burrows R. Cardiometabolic health in adolescence and its association with educational outcomes. J Epidemiol Community Health. 2019;73(12):1071-7.

Buchmann N, Spira D, König M, Demuth I, Steinhagen-Thiessen E. Frailty and the Metabolic Syndrome - Results of the Berlin Aging Study II (BASE-II). The J of Frailty Aging. 2019;8(4):169-75.

Katsa ME, Loannidis A, Sachlas A, Dimopoulos L, Chatzipanagiotou S, Gil AP The roles of triglyceride/high density lipoprotein cholesterol ratio and uric acid as predisposing factors for metabolic syndrome in healthy children. Ann Pediatr Endocrinol Metab. 2019;24(3):172-9.

Malik MS, Qayyum W, Farooq A, Waqas A, Sukhera AB, Khalid MA, et al. Dietary Patterns, Exercise, and the Metabolic Syndrome Among Young People in Urban Pakistan (Lahore). Metab Syndr Relat Disord. 2019;18(1):56-64

Publicado

2024-05-14

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Cómo citar

Perimetria da cintura e abdomen: avaliação do ponto ótimo em pacientes com fator de risco para doenças cardiovasculares e em indivíduos aparentemente saudáveis. (2024). Fisioterapia Brasil, 25(1), 1038-1050. https://doi.org/10.62827/fb.v25i1.9884