Palabras clave
Adiposidad
Antropometría
Enfermedad Renal
Enfermedad Renal Crónica
Cómo citar
Copyright © | Todos los derechos reservados.
La revista posee los derechos de autor exclusivos para la publicación de este artículo en los términos de la ley brasileña 9610/98.
Reproducción parcial
El uso de partes de los textos, figuras y cuestionario del artículo es libre, siendo obligatoria la citación de los autores y revista.
Reproducción total
Está expresamente prohibido y debe ser autorizado por la revista.
Resumen
Objetivo: Evaluar el desempeño de los índices de adiposidad ─ índice de masa corporal (IMC), circunferencia de cintura (CC), Relación Cintura Estatura (RCE) e a body shape index (ABSI) - para discriminar la enfermedad renal crónica (ERC). Métodos: Estudio transversal, realizado con datos obtenidos de la Encuesta Nacional de Salud de 2013, considerando mediciones de laboratorio e índices antropométricos medidos. Entre los parámetros evaluados para probar el desempeño de los índices de adiposidad para discriminar la ERC (tasa de filtración glomerular < 60 ml/min/1,73 m²) se encuentran las áreas bajo la curva (AUC) ROC con sus respectivos intervalos de confianza (IC del 95%) y los índices de Youden. Los análisis se realizaron sobre la muestra total y se estratificaron por sexo y grupo de edad. Resultados: Los índices de adiposidad (IMC, CC, RCE y ABSI) mostraron poder discriminatorio no aleatorio para ERC, siendo que la ERC en la muestra total y al estratificarlos por sexo y grupo de edad, pero el RCE demostró mejor desempeño con relación al AUC en todos los análisis (0,653 en la muestra total, 0,663 en hombres, 0,649 en mujeres, 0,606 en adultos y 0,549 en ancianos). Conclusión: Este estudio demostró que los índices de adiposidad tienen un bajo poder discriminatorio da ERC, aun cuando significativo.
Referencias
BARCELLOS RCDB, et al. Comparison of serum creatinine levels in different color/race categories in a Brazilian population. Cadernos de Saúde Pública, 2015; 31 (7): 1565 -1569.
Betzler BK, et al. Association between Body Mass Index and Chronic Kidney Disease in Asian Populations: A Participant-level Meta-Analysis. Maturitas, 2021;154: 46 - 54.
BIKBOV B, et al. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 2020; 395 (10225): 709 - 733.
CAI H, et al. Body mass index combined with waist circumference can predict moderate chronic kidney disease: A retrospective study. Medicine, 2021; 100(12): 1 - 7.
CHANG Y, et al. Metabolically healthy obesity and development of chronic kidney disease: A cohort study. Annals of Internal Medicine, 2016; 164 (5) 305 - 312.
DONG Y, et al. Comparison of visceral, body fat indices and anthropometric measures in relation to chronic kidney disease among Chinese adults from a large scale cross-sectional study. BMC nephrology, 2018; 19 (1): 1 - 7.
DUONG TV, et al. Associations of Waist Circumference, Socioeconomic, Environmental, and Behavioral Factors with Chronic Kidney Disease in Normal Weight, Overweight, and Obese People. Int J Environ Res Public Heal, 2019; 16 (5093): 1 - 18.
FOREMAN KJ, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet, 2018; 392 (10159): 2052 - 2090.
GOUVEA E, et al. Self-report of medical diagnosis of chronic kidney disease: prevalence and characteristics in the Brazilian adult population, National Health Survey 2013 and 2019. Epidemiol. Serv. Saúde, 2022; 31 (1): 1 - 12.
HE Y, et al. Association Between Body Mass Index and Mildly Decreased Estimated Glomerular Filtration Rate in Chinese Adults With Early Chronic Kidney Disease. J Ren Nutr, 2016; 26 (6): 367 - 72.
HUNG C, et al. Association between Body Mass Index and Renal Outcomes Modified by Chronic Kidney Disease and Anemia: The Obesity Paradox for Renal Outcomes. J Clin Med, 2022; 11 (10): 1 - 13.
HUNLEY TE, et al. Scope and mechanisms of obesity-related renal disease. Current Opinion in Nephrology and Hypertension, 2010; 19 (3): 227- 234.
IBGE. Instituto Brasileiro de Geografia E Estatística. Pesquisa Nacional de Saúde 2013: acesso e utilização dos serviços de saúde, acidentes e violências: Brasil, Grandes Regiões e Unidades da Federação. Rio de Janeiro: IBGE; 2015.
KDIGO. Official Journal of the international Society of nephrology. KDIGO 2012: Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Off J Int Soc Nephrol, 2012; 3 (1): 1 - 150.
KALANTAR-ZADEH K, et al. Chronic kidney disease. The Lancet, 2021; 398 (10302): 786 - 802.
KOTSIS V, et al. Impact of Obesity in Kidney Diseases. Nutrients, 2021; 13 (12): 1 - 16.
KOVESDY CP, et al. Obesity and kidney disease: hidden consequences of the epidemic. Jornal Brasileiro de Nefrologia, 2017; 39 (1): 1 - 10.
KRAKAUER NY e KRAKAUER JC. A new body shape index predicts mortality hazard independently of body mass index. PLOS ONE, 2012; 7 (7): 1 - 10.
LAVIE CJ, et al. Obesity and Prevalence of Cardiovascular Diseases and Prognosis—The Obesity Paradox Updated. Progress in Cardiovascular Diseases, 2016; 58 (5): 537 - 547.
LEVEY AS, et al. A new equation to estimate glomerular filtration rate. Annals of Internal Medicine, 2009; 150 (9): 604 - 612.
LIU L, et al. Waist height ratio predicts chronic kidney disease: A systematic review and meta-analysis, 1998-2019. Archives of Public Health, 2019; 77 (1): 1 - 9.
MALTA DC, et al. Evaluation of renal function in the Brazilian adult population, according to laboratory criteria from the National Health Survey Avaliação da função renal na população adulta brasileira, segundo critérios laboratoriais da Pesquisa Nacional de Saúde. Rev Bras Epidemiol, 2019; 22 (2): 1 - 13.
MALTA D, et al. Underreporting of chronic kidney disease according to laboratory criteria of Brazilian adults. European Journal of Public Health, 2020; 30 (5): 953 - 954.
MOREIRA AD, et al. Association between Adiposity Indexes and Kidney Disease: Findings from the Longitudinal Study of Adult Health (Elsa-Brazil). Journal of the American Nutrition Association, 2021; 41 (3): 275 - 280.
ODAGIRI K, et al. Waist to Height Ratio Is an Independent Predictor for the Incidence of Chronic Kidney Disease. PLOS ONE, 2014; 9 (2): 1 – 9.
QIAN X, et al. Changes in distributions of waist circumference, waist-to-hip ratio and waist-to-height ratio over an 18-year period among Chinese adults: A longitudinal study using quantile regression. BMC Public Health, 2019; 19 (1):1 - 10.
RICO-MARTÍN S, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Ver, 2020; 21 (7): 1 - 23.
SOUZA-JÚNIOR PRB, et al. Sampling Design for the National Health Survey, Brazil 2013. Epidemiol. Serv. Saúde, 2015; 24 (2): 207 - 216.
SILVA LESD, et al. Temporal trend of overweight and obesity prevalence among Brazilian adults, according to sociodemographic characteristics, 2006-2019. Epidemiologia e Serviços de Saúde, 2021; 30 (1): 1 - 12.
SONG Y, et al. Waist-hip ratio measured by bioelectrical impedance analysis as a valuable predictor of chronic kidney disease development. BMC nephrology, 2022; 23 (1): 1 - 9.
SZWARCWALD CL, et al. Laboratory exams of the National Health Survey: methodology of sampling, data collection and analysis. Revista Brasileira de Epidemiologia, 2019; 22 (2): 1 - 9.
TEUFEL F, et al. Body-mass index and diabetes risk in 57 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 685 616 adults. The Lancet, 2021; 398 (10296): 238 - 248.
THETHI T, et al. The link between the renin-angiotensin-aldosterone system and renal injury in obesity and the metabolic syndrome. Current Hypertension Reports, 2012; 14 (2): 1 - 16.
VRIES APJ, et al. Fatty kidney: Emerging role of ectopic lipid in obesity-related renal disease. The Lancet Diabetes and Endocrinology, 2014; 2 (5): 417 - 26.
WORLD HEALTH ORGANIZATION. Physical status: the use of and interpretation of anthropometry, report of a WHO expert committee. Genebra: World Health Organization; 1995.
WORLD HEALTH ORGANIZATION. Waist Circumference and Waist-Hip Ratio Report of a WHO Expert Consultation. Geneva: World Health Organization, 2008.
XUE R, et al. Abdominal obesity and risk of CVD: a dose–response meta-analysis of thirty-one prospective studies. British Journal of Nutrition, 2021; 126 (9) 1420 - 1430.
YANG S, et al. Comparison of the Correlates Between Body Mass Index, Waist Circumference, Waist-to-Height Ratio, and Chronic Kidney Disease in a Rural Chinese Adult Population. Journal of Renal Nutrition, 2019; 29 (4): 302 - 309.
ZENG Q, et al. Optimal cut-off values of BMI, waist circumference and waist: height ratio for defining obesity in Chinese adults. Br J Nutr, 2014; 112 (10): 1735 - 44.