Relación de los componentes del síndrome metabólico con índices lipídicos y parámetros antropométricos en trabajadores rurales: análisis factorial exploratório
DOI:
https://doi.org/10.17058/reci.v11i4.16685Palabras clave:
Síndrome metabólica, Antropometria, Índice, Saúde da População Rural, Trabalhadores ruraisResumen
Antecedentes y objetivos: La búsqueda de indicadores de detección simples y rápidos para el síndrome metabólico (SM) es importante debido a su alta frecuencia en la población adulta. Y este aspecto es poco explorado en la población rural brasileña. El objetivo de este estudio fue verificar la relación de los componentes del SM com índices lipídicos e parámetros antropométricos en trabajadores rurales. Métodos: estudio transversal con trabajadores rurales de 18 años o más. El SM fue determinado por criterio armonizado. Se investigaron los seguientes componentes de la SM: triglicéridos (TG), glucosa en ayunas (GLI), presión arterial sistólica (PAS) y diastólica (PAD), HDL-c y circunferencia de cintura (CC); parámetros antropométricos: índice de masa corporal (IMC), relación cintura /talla (WHtR) y porcentaje de grasa corporal (% F); y índices de lípidos: índice glucémico de triglicéridos (TyG), el producto de acumulación de lípidos (LAP) y el índice de adiposidad visceral (VAI). Se realizo um análisis factorial exploratorio que incluyó, em modelo I, los parâmetros antropométricos y, en el modelo II, los índices lipídicos. Resultados: De los 167 trabajadores, 21,0% eran ancianos (≥60 años), 39,5% hombres y 61,1% tenían SM, con mayor frecuencia en mujeres. El modelo II respondió a la mayor varianza explicada (78,43%) incluyendo factores metabólico (VAI, LAP, TyG y TG y -HDL-c), cardiometabólico (SBP, DBP y CC) y glucémico. El modelo I explicó el 70,4% de la varianza, que incluía exceso de peso, presión arterial y factores lipídicos / glucémicos. Conclusión: el modelo que incluyó los índices lipídicos explicó la mayor varianza observada y el VAI presentó la carga más significativa de este factor.
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Alberti KGMM, Eckel RH, Grundy SM, et al. Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–1645. https://doi.org/10.1161/circulationaha.109.192644
Marques, MV, Santos SSAN, Lima MV, et al. Distribuição espacial da mortalidade por diabetes no Brasil. Revista Saúde e Desenvolvimento Humano. 2020; 8(3): 113-122. http://dx.doi.org/10.18316/sdh.v8i3.6135
Oliveira LVA, Santos BNS, Machado IE, et al. Prevalência da Síndrome Metabólica e seus componentes na população adulta brasileira. Ciência & Saúde Coletiva 2020;25(11): 4269-4280. https://doi.org/10.1590/1413-812320202511.31202020
Pimenta AM, Gazzinelli A, Velasquez-Melendez G. Prevalência da síndrome metabólica e seus fatores associados em área rural de Minas Gerais (MG, Brasil). Ciênc saúde coletiva. 2011;16(7): 3297-3306. https://doi.org/10.1590/S1413-81232011000800029
Gu Z, Li D, He H, et al. Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population. Sci Rep. 2018;8(1):385. https://doi.org/10.1038/s41598-017-18854-1
Nascimento-Ferreira MV, Rendo-Urteaga T, Vilanova-Campelo RC, et al. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults. Clin Nutr. 2017;36(6):1693-1700. https://doi.org/10.1016/j.clnu.2016.12.020
Amato MC, et al. Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010;33(4) :920-922.
https://doi.org/10.2337/dc09-1825
Kahn HS. The "lipid accumulation product" performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. British Medical association Cardiovasc Disord. 2005; 5 :1-26, 2005.
https://doi.org/10.1186/1471-2261-5-26
Simental-Mendia LE, Rodriguez-Moran M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord. 2008;6:299–304. https://doi.org/10.1089/met.2008.0034
Heyward VH. Avaliação física e prescrição de exercício: técnicas avançadas. 6. ed. Porto Alegre: Artmed, 2013. xvi, 485 p.
Malachias, MVB, Plavnik FL, Machado CA, et al. 7ª Diretriz Brasileira de Hipertensão Arterial: Capítulo 1 - Conceituação, Epidemiologia e Prevenção Primária. (2016). Arquivos Brasileiros de Cardiologia. 107(3, Suppl. 3), 1-6. https://doi.org/10.5935/abc.20160151
Tsai TY, Hsu PF, Lin CC, et al. Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study. PloS one. 2020; 15(11): e0242365. https://doi.org/10.1371/journal.pone.0242365
Deshmukh PR, Kamble P, Goswami K, et al. Metabolic syndrome in the rural population of wardha, central India: an exploratory factor analysis. Indian J Community Med. 2013;38(1):33-38. https://doi.org/10.4103/0970-0218.106625
Couto AN, Kleinpaul WV, Renner JDP et al. Nutritional status, insulin resistance and cytokine biomarkers: principal component analysis approach. IJDR. 2019; 09(10): 30659-30664. https://www.journalijdr.com/nutritional-status-insulin-resistance-and-cytokine-biomarkers-principal-component-analysis-approach
Rochlani Y, Pothineni NV, Kovelamudi S, et al. Metabolic syndrome: pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis. 2017;11(8):215-225. https://doi.org/10.1177/1753944717711379
Nolan CJ, Prentki M. Insulin resistance and insulin hypersecretion in the metabolic syndrome and type 2 diabetes: Time for a conceptual framework shift. Diab Vasc Dis Res. 2019;16(2):118-127. https://doi.org/10.1177/1479164119827611
McCracken E, Monaghan M, Sreenivasan S. Pathophysiology of the metabolic syndrome. Clin Dermatol. 2018;36(1):14-20. https://doi.org/10.1016/j.clindermatol.2017.09.004
Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95(7):3347-51. https://doi.org/10.1210/jc.2010-0288
Mirmiran P, Bahadoran Z, Azizi F. Lipid Accumulation Product Is Associated with Insulin Resistance, Lipid Peroxidation, and Systemic Inflammation in Type 2 Diabetic Patients. Endocrinology and Metabolism. 2014;29(4):443-449.
https://doi.org/10.3803/EnM.2014.29.4.443
Li R, Li Q, Cui M, et al. Clinical surrogate markers for predicting metabolic syndrome in middle-aged and elderly Chinese. J Diabetes Investig. 2018;9(2):411-418. https://doi.org/10.1111/jdi.12708
Shin KA, Kim YJ. Usefulness Of Surrogate Markers Of Body Fat Distribution For Predicting Metabolic Syndrome In Middle-Aged And Older Korean Populations. Diabetes Metab Syndr Obes. 2019;12:2251-2259.
https://dx.doi.org/10.2147%2FDMSO.S217628
Raimi TH, Dele-Ojo BF, Dada SA, et al. Triglyceride-Glucose Index and Related Parameters Predicted Metabolic Syndrome in Nigerians. Metab Syndr Relat Disord. 2021;19(2):76-82. https://doi.org/10.1089/met.2020.0092
Chiu TH, Huang YC, Chiu H, et al. Comparison of Various Obesity-Related Indices for Identification of Metabolic Syndrome: A Population-Based Study from Taiwan Biobank. Diagnostics (Basel). 2020;10(12):1081.
https://doi.org/10.3390/diagnostics10121081
Brinkley TE, Hsu FC, Beavers KM, et al. Total and abdominal adiposity are associated with inflammation in older adults using a factor analysis approach. J Gerontol A Biol Sci Med Sci. 2012;67(10):1099-1106. https://doi.org/10.1093/gerona/gls077
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