Evaluacíon del riesgo de diabetes mellitus tipo 2 em uma clínica del oeste de Paraná

Autores/as

DOI:

https://doi.org/10.33448/rsd-v10i9.18249

Palabras clave:

Diabetes mellitus; Estado prediabético; Factores de riesgo.

Resumen

La diabetes mellitus es un grave problema de salud pública cuya detección y tratamiento precoces son importantes para reducir las tasas de morbilidad y mortalidad. Este estudio tuvo como objetivo evaluar la prevalencia de individuos con posible prediabetes y alto riesgo de diabetes mellitus tipo 2 en pacientes y cuidadores de una clínica del oeste de Paraná. Se aplicó un cuestionario adaptado de la American Diabetes Association para estimar la puntuación de riesgo en 223 participantes. El 38,2% de las personas sin un diagnóstico previo de diabetes tenían un alto riesgo de contraer la enfermedad. Los factores de riesgo estadísticamente significativos para la enfermedad fueron: mayor edad, antecedentes familiares positivos, hipertensión y aumento del índice de masa corporal. Se concluyó que una gran parte de la muestra tiene un mayor riesgo de diabetes tipo 2 y probable prediabetes. El uso de herramientas prácticas y efectivas como el Cuestionario de riesgo de American Diabetes Association puede tener beneficios para la política de salud pública.

Citas

American Diabetes Association. (2014). Diagnosis and classification of diabetes mellitus. Diabetes care, 37(Supplement 1), S81-S90.

Asmelash, D., & Asmelash, Y. (2019). The burden of undiagnosed diabetes mellitus in adult African population: a systematic review and meta-analysis. Journal of diabetes research, 2019.

Bachur, C. K., de Morais, A. F. P., Vanoni, H. D. C., Ribeiro, I. S., & da Silva Candido, S. (2018). Stratification of risk factors for type 2 diabetes mellitus in health professionals/Estratificacao dos fatores de risco de diabetes mellitus tipo 2 em profissionais da saude. Demetra: Food, Nutrition & Health, 13(4), 965-975.

Bang, H., Edwards, A. M., Bomback, A. S., Ballantyne, C. M., Brillon, D., Callahan, M. A., & Kern, L. M. (2009). Development and validation of a patient self-assessment score for diabetes risk. Annals of internal medicine, 151(11), 775-783.

Beagley, J., Guariguata, L., Weil, C., & Motala, A. A. (2014). Global estimates of undiagnosed diabetes in adults. Diabetes research and clinical practice, 103(2), 150-160.

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191.

Bittencourt, A., & Vinholes, D. B. (2013). Estimativa do risco para diabetes mellitus tipo 2 em bancários da cidade de Tubarão, estado de Santa Catarina, Brasil. Scientia Medica, Porto Alegre, 23(2), 82-89.

Chiasson, J. L., Josse, R. G., Gomis, R., Hanefeld, M., Karasik, A., & Laakso, M. (2002). Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial. The Lancet, 359(9323), 2072-2077.

Coutinho-Myrrha, M. A., Dias, R. C., Fernandes, A. A., Araújo, C. G., Hlatky, M. A., Pereira, D. G., & Britto, R. R. (2014). Duke Activity Status Index for cardiovascular diseases: validation of the Portuguese translation. Arquivos brasileiros de cardiologia, 102, 383-390.

Escobedo, J., Buitrón, L. V., Velasco, M. F., Ramírez, J. C., Hernández, R., Macchia, A., Pellegrini, F., Schargrodsky, H., Boissonnet, C., Champagne, B. M. (2009). High prevalence of diabetes and impaired fasting glucose in urban Latin America: the CARMELA Study. Diabetic Medicine, 26(9), 864-871.

Ferrannini, E., Gastaldelli, A., Miyazaki, Y., Matsuda, M., Mari, A., & DeFronzo, R. A. (2005). β-Cell function in subjects spanning the range from normal glucose tolerance to overt diabetes: a new analysis. The Journal of Clinical Endocrinology & Metabolism, 90(1), 493-500.

Heikes, K. E., Eddy, D. M., Arondekar, B., & Schlessinger, L. (2008). Diabetes Risk Calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes care, 31(5), 1040-1045.

Hippisley-Cox, J., Coupland, C., Robson, J., Sheikh, A., & Brindle, P. (2009). Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. Bmj, 338.

International Diabetes Federation. (2019). IDF Diabetes Atlas, 9th edn. Brussels, Belgium: International Diabetes Federation.

Islam, F. M., Chakrabarti, R., Islam, M. T., Wahab, M., & Lamoureux, E. (2016). Prediabetes, diagnosed and undiagnosed diabetes, their risk factors and association with knowledge of diabetes in rural Bangladesh: The Bangladesh Population-based Diabetes and Eye Study. Journal Diabetes 8: 260-8.

Knowler, W. C., Barrett-Connor, E., Fowler, S. E., Hamman, R. F., Lachin, J. M., Walker, E. A., & Nathan, D. M. (2002). Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England journal of medicine, 346(6), 393-403.

Leahy, S., O’Halloran, A. M., O’Leary, N., Healy, M., McCormack, M., Kenny, R. A., & O’Connell, J. (2015). Prevalence and correlates of diagnosed and undiagnosed type 2 diabetes mellitus and pre-diabetes in older adults: Findings from the Irish Longitudinal Study on Ageing (TILDA). Diabetes research and clinical practice, 110(3), 241-249.

Maina, W. K., Ndegwa, Z. M., Njenga, E. W., & Muchemi, E. W. (2010). Knowledge, attitude and practices related to diabetes among community members in four provinces in Kenya: a cross-sectional study. Pan African Medical Journal, 7(1).

Marconi, M. A., & Lakatos, E. M. (2021). Técnicas de pesquisa. (9a ed.). Atlas.

Matveyenko, A. V., & Butler, P. C. (2008). Relationship between β‐cell mass and diabetes onset. Diabetes, Obesity and Metabolism, 10, 23-31.

Murray, C. J., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., & Haring, D. (2012). Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The lancet, 380(9859), 2197-2223.

Naranjo, A. A., Rodríguez, Á. Y., Llera, R. E., & Aroche, R. (2013). Diabetes risk in a Cuban primary care setting in persons with no known glucose abnormalities. MEDICC review, 15, 16-19.

Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., & Borschmann, R. (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.

Satman, I., Omer, B., Tutuncu, Y., Kalaca, S., Gedik, S., Dinccag, N., & Tuomilehto, J. (2013). Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. European journal of epidemiology, 28(2), 169-180.

Schmid, R., Vollenweider, P., Waeber, G., & Marques-Vidal, P. (2011). Estimating the risk of developing type 2 diabetes: a comparison of several risk scores: the Cohorte Lausannoise study. Diabetes Care, 34(8), 1863-1868.

Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010). Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes research and clinical practice, 87(1), 4-14.

Skyler, J. S., Bakris, G. L., Bonifacio, E., Darsow, T., Eckel, R. H., Groop, L., & Ratner, R. E. (2017). Differentiation of diabetes by pathophysiology, natural history, and prognosis. Diabetes, 66(2), 241-255.

Tomasi, E., Facchini, L. A., Thumé, E., Piccini, R. X., Osorio, A., da Silveira, D. S., & Maia, M. D. S. (2011). Characteristics of primary healthcare service use in the southern and northeastern regions of Brazil: differences by care model. Ciencia & saude coletiva, 16(11), 4395.

Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., & Uusitupa, M. (2001). Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. New England Journal of Medicine, 344(18), 1343-1350.

Woo, Y. C., Lee, C. H., Fong, C. H., Tso, A. W., Cheung, B. M., & Lam, K. S. (2017). Validation of the diabetes screening tools proposed by the American Diabetes Association in an aging Chinese population. PLoS One, 12(9), e0184840.

Zardo, M., Bassan, M. B., Farias, K., Diefenthaeler, H., & Grazziotin, N. A. (2015). Rastreamento de fatores de risco para diabetes tipo 2 em trabalhadores de uma indústria da cidade de Concórdia-SC. Perspectiva, Erechim, 39(145), 85-95.

Publicado

28/07/2021

Cómo citar

NAKAHARA, K. R.; PESCADOR, M. V. B.; PAGNUSSAT, J. V.; GAI, J. D. Evaluacíon del riesgo de diabetes mellitus tipo 2 em uma clínica del oeste de Paraná. Research, Society and Development, [S. l.], v. 10, n. 9, p. e36410918249, 2021. DOI: 10.33448/rsd-v10i9.18249. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/18249. Acesso em: 2 jul. 2024.

Número

Sección

Ciencias de la salud