Prevalence of Metabolic Syndrome and its associated risk factors among Passo do Lontra community at the Brazilian Pantanal

Authors

DOI:

https://doi.org/10.33448/rsd-v11i8.31207

Keywords:

Metabolic syndrome; Dyslipidemias; Abdominal obesity; Hypertension.

Abstract

The metabolic syndrome (MetS) is a complex of risk factors for cardiovascular disease and its incidence has increased globally, causing this condition to be currently a global public health problem. It was estimated that 20 to 35% of the world’s population has MetS. However, the global prevalence ratios vary enormously, due mainly to social and economic discrepancies. Despite the importance of MetS in the context of metabolic and cardiovascular disease, studies that described the prevalence of MetS and its determinants among rural and vulnerable populations worldwide. In this study, we aimed to determine the MetS prevalence and associated risk factors in a riverside population living in Pantanal biome from Mato Grosso do Sul in Brazil, that has difficulties in accessing health services. This investigation is a retrospective cross-sectional study conducted from March 2010 to July 2016 in adult individuals (aged 18 years or older)) from riverside community of Passo do Lontra. MetS was defined according to NCEP/ATP III, 2001criteria. A total of 81 adult individuals, being 36 (44.4%) females and 45 (55.6%) males were enrolled. The overall MetS prevalence was 40.7% (33/81) with no gender difference. About the risk factors analysis, higher levels of BMI, uric acid, non-HDL, VLDL cholesterol and obesity among adults led to higher chances of developing the syndrome. These findings provide important evidence on the MetS prevalence as a public health problem, particularly for obese, dyslipidemic and hyperuricemic individuals. Our results reinforce an alarming public health trend.

References

Agarwal, S., Jacobs, D. R., Jr, Vaidya, D., Sibley, C. T., Jorgensen, N. W., Rotter, J. I., Chen, Y. D., Liu, Y., Andrews, J. S., Kritchevsky, S., Goodpaster, B., Kanaya, A., Newman, A. B., Simonsick, E. M., & Herrington, D. M. (2012). Metabolic Syndrome Derived from Principal Component Analysis and Incident Cardiovascular Events: The Multi Ethnic Study of Atherosclerosis (MESA) and Health, Aging, and Body Composition (Health ABC). Cardiology research and practice, 919425. https://doi.org/10.1155/2012/919425

Aguilar, M., Bhuket, T., Torres, S., Liu, B., & Wong, R. J. (2015). Prevalence of the metabolic syndrome in the United States, 2003-2012. JAMA, 313(19), 1973–1974. https://doi.org/10.1001/jama.2015.4260

Battelli, M. G., Bortolotti, M., Polito, L., & Bolognesi, A. (2019). Metabolic syndrome and cancer risk: The role of xanthine oxidoreductase. Redox biology, 21, 101070. https://doi.org/10.1016/j.redox.2018.101070

Blanquet, M., Legrand, A., Pélissier, A., & Mourgues, C. (2019). Socio-economics status and metabolic syndrome: A meta-analysis. Diabetes & metabolic syndrome, 13(3), 1805–1812. https://doi.org/10.1016/j.dsx.2019.04.003

Boesing, F., Moreira, E. A., Wilhelm-Filho, D., Vigil, S. V., Parizottto, E. B., Inácio, D. B., Portari, G. V., Trindade, E. B., Jordão-Júnior, A. A., & Fröde, T. S. (2010). Roux-en-Y bypass gastroplasty: markers of oxidative stress 6 months after surgery. Obesity surgery, 20(9), 1236–1244. https://doi.org/10.1007/s11695-010-0196-x

Borch-Johnsen K. (2007). The metabolic syndrome in a global perspective. The public health impact--secondary publication. Danish medical bulletin, 54(2), 157–159.

Ciarla, S., Struglia, M., Giorgini, P., Striuli, R., Necozione, S., Properzi, G., & Ferri, C. (2014). Serum uric acid levels and metabolic syndrome. Archives of physiology and biochemistry, 120(3), 119–122. https://doi.org/10.3109/13813455.2014.924145

Costa LA, Bresan D, Kawakame PMG, Sales APA. (2017). A hipertensão arterial sistêmica na perspectiva de uma comunidade ribeirinha: uma abordagem transcultural. Revista Interdisciplinar em Cultura e Sociedade, 3, 13-30.

de Carvalho Vidigal, F., Bressan, J., Babio, N., & Salas-Salvadó, J. (2013). Prevalence of metabolic syndrome in Brazilian adults: a systematic review. BMC public health, 13, 1198. https://doi.org/10.1186/1471-2458-13-1198

de Magalhães, E., Juvanhol, L. L., da Silva, D., Ferreira, F. G., Roberto, D., Hinnig, P. F., & Longo, G. Z. (2021). Uric acid: A new marker for metabolic syndrome? Results of a population-based study with adults. Nutrition, metabolism, and cardiovascular diseases: NMCD, 31(7), 2077–2080. https://doi.org/10.1016/j.numecd.2021.03.012

Echavarría-Pinto, M., Hernández-Lomelí, A., Alcocer-Gamba, M. A., Morales-Flores, H., & Vázquez-Mellado, A. (2006). Síndrome metabólico en adultos de 20 a 40 años en una comunidad rural mexicana [Metabolic syndrome in adults from 20 to 40 years old in a rural Mexican community]. Revista medica del Instituto Mexicano del Seguro Social, 44(4), 329–335.

Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) (2001) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA, p. 2486-97.

Grandinetti, A., Chang, H. K., Theriault, A., & Mor, J. (2005). Metabolic syndrome in a multiethnic population in rural Hawaii. Ethnicity & disease, 15(2), 233–237.

Hadaegh, F., Zabetian, A., Khalili, D., Safarkhani, M., Philip T James, W., & Azizi, F. (2012). A new approach to compare the predictive power of metabolic syndrome defined by a joint interim statement versus its components for incident cardiovascular disease in Middle East Caucasian residents in Tehran. Journal of epidemiology and community health, 66(5), 427–432. https://doi.org/10.1136/jech.2010.117697

Halliwell B, Gutteridge. (2015). Free radicals in biology and medicine, 5th edn. Oxford Univ. Press, London. JMC.

Kelly, T., Yang, W., Chen, C. S., Reynolds, K., & He, J. (2008). Global burden of obesity in 2005 and projections to 2030. International journal of obesity (2005), 32(9), 1431–1437. https://doi.org/10.1038/ijo.2008.102

Ladla, A., Tongkrajai, P., Srisaenpang, S., Siviroj, P., Yutthakasemsunt, S., Tiamkao, S., Chotmongkol, V., & Sawanyawisuth, K. (2020). Which diagnostic criteria of metabolic syndrome are predictors of cardiovascular diseases in elderly populations? Journal of clinical & translational endocrinology, 23, 100248. https://doi.org/10.1016/j.jcte.2020.100248

Lee, S. J., Oh, B. K., & Sung, K. C. (2020). Uric acid and cardiometabolic diseases. Clinical hypertension, 26, 13. https://doi.org/10.1186/s40885-020-00146-y

Maloberti, A., Giannattasio, C., Bombelli, M., Desideri, G., Cicero, A., Muiesan, M. L., Rosei, E. A., Salvetti, M., Ungar, A., Rivasi, G., Pontremoli, R., Viazzi, F., Facchetti, R., Ferri, C., Bernardino, B., Galletti, F., D'Elia, L., Palatini, P., Casiglia, E., Tikhonoff, V., … Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension (SIIA) (2020). Hyperuricemia and Risk of Cardiovascular Outcomes: The Experience of the URRAH (Uric Acid Right for Heart Health) Project. High blood pressure & cardiovascular prevention: the official journal of the Italian Society of Hypertension, 27(2), 121–128. https://doi.org/10.1007/s40292-020-00368-z

Márquez-Sandoval, F., Macedo-Ojeda, G., Viramontes-Hörner, D., Fernández Ballart, J. D., Salas Salvadó, J., & Vizmanos, B. (2011). The prevalence of metabolic syndrome in Latin America: a systematic review. Public health nutrition, 14(10), 1702–1713. https://doi.org/10.1017/S1368980010003320.

Nsiah, K., Shang, V. O., Boateng, K. A., & Mensah, F. O. (2015). Prevalence of metabolic syndrome in type 2 diabetes mellitus patients. International journal of applied & basic medical research, 5(2), 133–138. https://doi.org/10.4103/2229-516X.157170

O'Neill, S., & O'Driscoll, L. (2015). Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obesity reviews: an official journal of the International Association for the Study of Obesity, 16(1), 1–12. https://doi.org/10.1111/obr.12229

Oliveira, L., Santos, B., Machado, Í. E., Malta, D. C., Velasquez-Melendez, G., & Felisbino-Mendes, M. S. (2020). Prevalence of the Metabolic Syndrome and its components in the Brazilian adult population. Prevalência da Síndrome Metabólica e seus componentes na população adulta brasileira. Ciencia & saude coletiva, 25(11), 4269–4280. https://doi.org/10.1590/1413-812320202511.31202020

Özalp Kızılay, D., Şen, S., & Ersoy, B. (2019). Associations Between Serum Uric Acid Concentrations and Cardiometabolic Risk and Renal Injury in Obese and Overweight Children. Journal of clinical research in pediatric endocrinology, 11(3), 262–269. https://doi.org/10.4274/jcrpe.galenos.2018.2019.0241

Parisotto, E. B., Garlet, T. R., Cavalli, V. L., Zamoner, A., da Rosa, J. S., Bastos, J., Micke, G. A., Fröde, T. S., Pedrosa, R. C., & Wilhelm Filho, D. (2014). Antioxidant intervention attenuates oxidative stress in children and teenagers with Down syndrome. Research in developmental disabilities, 35(6), 1228–1236. https://doi.org/10.1016/j.ridd.2014.03.013

Ribeiro MA. (2018). Trabalho e turismo no Pantanal/MS: olhares para a comunidade do passo da lontra. Entre-lugar, 9(18),150-168. https://doi.org/10.30612/el.v9i18.8889

Roberts, C. K., & Sindhu, K. K. (2009). Oxidative stress and metabolic syndrome. Life sciences, 84(21-22), 705–712. https://doi.org/10.1016/j.lfs.2009.02.026

Saklayen M. G. (2018). The Global Epidemic of the Metabolic Syndrome. Current hypertension reports, 20(2), 12. https://doi.org/10.1007/s11906-018-0812-z

Santos FAA, Back IS, Giehl MWC, Fassula AS, Boing AF, González-Chica DA. (2020). Nível de atividade física no lazer e sua associação com a prevalência da síndrome metabólica em adultos: um estudo de base populacional. Rev. Bras. Epidemiol., 23, e200070. https://doi.org/10.1590/1980-549720200070

Sattar, N., Gaw, A., Scherbakova, O., Ford, I., O'Reilly, D. S., Haffner, S. M., Isles, C., Macfarlane, P. W., Packard, C. J., Cobbe, S. M., & Shepherd, J. (2003). Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation, 108(4), 414–419. https://doi.org/10.1161/01.CIR.0000080897.52664.94

Simão, A. N., Dichi, J. B., Barbosa, D. S., Cecchini, R., & Dichi, I. (2008). Influence of uric acid and gamma-glutamyltransferase on total antioxidant capacity and oxidative stress in patients with metabolic syndrome. Nutrition (Burbank, Los Angeles County, Calif.), 24(7-8), 675–681. https://doi.org/10.1016/j.nut.2008.03.021

Stout, M. B., Justice, J. N., Nicklas, B. J., & Kirkland, J. L. (2017). Physiological Aging: Links Among Adipose Tissue Dysfunction, Diabetes, and Frailty. Physiology (Bethesda, Md.), 32(1), 9–19. https://doi.org/10.1152/physiol.00012.2016

Tzika, E., Dreker, T., & Imhof, A. (2018). Epigenetics and Metabolism in Health and Disease. Frontiers in genetics, 9, 361. https://doi.org/10.3389/fgene.2018.00361

Wang, H. J., Shi, L. Z., Liu, C. F., Liu, S. M., & Shi, S. T. (2018). Association Between Uric Acid and Metabolic Syndrome in Elderly Women. Open medicine (Warsaw, Poland), 13, 172–177. https://doi.org/10.1515/med-2018-0027

Weir CB, Jan Arif. BMI Classification Percentile And Cut Off Points. [Updated 2021 Jun 29]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. (2021) from: https://www.ncbi.nlm.nih.gov/books/NBK541070/

World Health Organization. (1999). Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1, Diagnosis and classification of diabetes mellitus.

World Health Organization.(1995). Physical status: the use and interpretation of anthropometry. WHO Technical Report Series.

Xu, T., Zhu, G., & Han, S. (2020). Prevalence of and lifestyle factors associated with metabolic syndrome determined using multi-level models in Chinese adults from a cross-sectional survey. Medicine, 99(44), e22883. https://doi.org/10.1097/MD.0000000000022883

Yoo, T. W., Sung, K. C., Shin, H. S., Kim, B. J., Kim, B. S., Kang, J. H., Lee, M. H., Park, J. R., Kim, H., Rhee, E. J., Lee, W. Y., Kim, S. W., Ryu, S. H., & Keum, D. G. (2005). Relationship between serum uric acid concentration and insulin resistance and metabolic syndrome. Circulation journal : official journal of the Japanese Circulation Society, 69(8), 928–933. https://doi.org/10.1253/circj.69.928

Downloads

Published

01/07/2022

How to Cite

ZANRE, R. F. de A. .; MATTOS, K.; BRITO, E. da C. A. de .; OVELAR, V. de A. .; SALES, A. P. de A. .; PARISOTTO, E. B. .; SOUZA, A. S. de .; FILIÚ, W. F. de O. .; WEBER, S. S. . Prevalence of Metabolic Syndrome and its associated risk factors among Passo do Lontra community at the Brazilian Pantanal. Research, Society and Development, [S. l.], v. 11, n. 8, p. e51911831207, 2022. DOI: 10.33448/rsd-v11i8.31207. Disponível em: https://www.rsdjournal.org/index.php/rsd/article/view/31207. Acesso em: 23 apr. 2024.

Issue

Section

Health Sciences