Metabolic Syndrome and nutritional status of elderly registered in the HiperDia system

Authors

  • Carolina Böettge Rosa Programa de Pós-Graduação em Gerontologia Biomédica do Instituto de Geriatria e Gerontologia da Pontifícia Universidade Católica do Rio Grande do Sul (IGG – PUCRS). Porto Alegre, RS.
  • Joice Andreia Agostini Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.
  • Patrícia Dall'Agnol Bianchi Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.
  • Solange Beatriz Billig Garces Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.
  • Dinara Hansen Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.
  • Paulo Ricardo Moreira Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.
  • Carla Helena Augustin Schwanke Programa de Pós-Graduação em Gerontologia Biomédica do Instituto de Geriatria e Gerontologia da Pontifícia Universidade Católica do Rio Grande do Sul (IGG – PUCRS). Porto Alegre, RS.

DOI:

https://doi.org/10.15448/1980-6108.2016.3.23100

Keywords:

metabolic syndrome X, aged, nutritional status, body mass index, primary health care.

Abstract

Aims: To analyze the association of metabolic syndrome and its components with the nutritional status of elderly enrolled in the HiperDia system.

Methods: This was a cross-sectional study with a sample of elderly enrolled in the HiperDia of Central Specialty Unit of Municipal Health Department from Cruz Alta, Rio Grande do Sul, whose records contained the information necessary for the study. Metabolic syndrome diagnosis was based on criteria established by the National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) and recommended by the Brazilian Society of Cardiology in the I Brazilian Guidelines for Diagnosis and Treatment of Metabolic Syndrome. Nutritional status was assessed by body mass index, according to the classification of II Guidelines on Geriatric Cardiology of the Brazilian Society of Cardiology. In the statistical analysis, the Student t test and the chi-square test were used, with analysis of adjusted residuals.

Results: At all 485 seniors met the inclusion criteria and were selected. The sample mean age was 68.9±6.8 years (range 60 to 94 years). Most participants were female (62.5%) had metabolic syndrome (61.2%), and overweight/obesity (59%). When analyzing the association between nutritional status and metabolic syndrome and its components, significant associations of obesity with metabolic syndrome, central obesity, hypertriglyceridemia, and presence of four/five components of the syndrome (p <0.001) were found. The most common metabolic syndrome component was high blood pressure (81.3%), and the less frequent was hypertriglyceridemia (48.2%). Regarding gender, the frequency of metabolic syndrome was significantly higher among women (p=0.004; 66.3% versus 52.7%).

Conclusions: The frequency of metabolic syndrome and its components and its association with nutritional status of elderly enrolled in HiperDia provides evidence that metabolic syndrome and nutritional status should also be monitored through this system.

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Author Biographies

Carolina Böettge Rosa, Programa de Pós-Graduação em Gerontologia Biomédica do Instituto de Geriatria e Gerontologia da Pontifícia Universidade Católica do Rio Grande do Sul (IGG – PUCRS). Porto Alegre, RS.

Doutoranda em Gerontologia Biomédica pela Pontifícia Universidade Católica do Rio Grande do Sul.

Joice Andreia Agostini, Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.

Nutricionista graduada pela Universidade de Cruz Alta.

Patrícia Dall'Agnol Bianchi, Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.

Doutora em Ciências Biológicas (Fisiologia) pela Universidade Federal do Rio Grande do Sul.

Solange Beatriz Billig Garces, Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.

Doutora em Ciências Sociais – Políticas e Práticas Sociais pela Universidade do Vale do Rio dos Sinos.

Dinara Hansen, Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.

Doutoranda em Gerontologia Biomédica pela Pontifícia Universidade Católica do Rio Grande do Sul.

Paulo Ricardo Moreira, Universidade de Cruz Alta (UNICRUZ). Cruz Alta, RS.

Doutor em Medicina (Nefrologia) pela Universidade Federal do Rio Grande do Sul.

Carla Helena Augustin Schwanke, Programa de Pós-Graduação em Gerontologia Biomédica do Instituto de Geriatria e Gerontologia da Pontifícia Universidade Católica do Rio Grande do Sul (IGG – PUCRS). Porto Alegre, RS.

Doutora em Gerontologia Biomédica pela Pontifícia Universidade Católica do Rio Grande do Sul.

References

Closs VE, Schwanke CHA. A evolução do índice de envelhecimento no Brasil, nas suas regiões e unidades federativas no período de 1970 a 2010. Rev Bras Geriatr Gerontol. 2012;15(3):443–58. http://dx.doi.org/10.1590/S1809-98232012000300006

Góis ALB, Veras RP. Informações sobre a morbidade hospitalar em idosos nas internações do Sistema Único de Saúde do Brasil. Cien Saude Colet. 2010;15(6):2859–69. http://dx.doi.org/10.1590/S1413-81232010000600023

Cabrera MAS, Andrade SM de, Wajngarten M. Causas de mortalidade em idosos: Estudo de seguimento de nove anos. Geriatr Gerontol. 2007;1(1):14–20.

Veras R. Envelhecimento populacional contemporâneo: demandas, desafios e inovações. Rev Saude Publ. 2009;43(3):548–54. http://dx.doi.org/10.1590/S0034-89102009000300020

Brasil. Ministério da Saúde. Portaria n. 371. [Internet]. Brasília; 2002. [cited 2016 Feb 10]. Available from: http://bvsms.saude.gov.br/bvs/saudelegis/gm/2002/prt0371_04_03_2002_rep.html

Sociedade Brasileira de Hipertensão. Sociedade Brasileira de Cardiologia. Sociedade Brasileira de Endocrinologia e Metabologia. Sociedade Brasileira de Diabetes. Associação Brasileira para Estudos da Obesidade. I Diretriz brasileira de diagnóstico e trata. Arq Bras Cardiol. 2005;84(supl 1):1–28.

Sumner AD, Sardi GL, Reed JF. Components of the metabolic syndrome differ between young and old adults in the US population. J Clin Hypertens (Greenwich). 2012 Aug;14(8):502-6.

Razzouk L, Muntner P. Ethnic, gender, and age-related differences in patients with the metabolic syndrome. Curr Hypertens Rep. 2009 Apr;11(2):127-32.

Roriz-Cruz M, Rosset I, Wada T, Sakagami T, Ishine M, De Sá Roriz-Filho J, Cruz TRS, Hosseinkhani M, Rodrigues RP, Sudoh S, Arai H, Wakatsuki Y, Souza AC, Nakagawa M, Kita T, Matsubayashi K. Cognitive impairment and frontal-subcortical geriatric syndrome are associated with metabolic syndrome in a stroke-free population. Neurobiol Aging. 2007 Nov;28(11):1723-36.

Saad MAN, Cardoso GP, Martins WA, Velarde LGC, Cruz-Filho RA. Prevalência de síndrome metabólica em idosos e concordância entre quatro critérios diagnósticos. Arq Bras Cardiol. 2014;102(3):263-9. http://dx.doi.org/10.5935/abc.20140013

Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002 Jan 16;287(3):356-9.

Scuteri A, Najjar SS, Morrell CH, Lakatta EG. The metabolic syndrome in older individuals: prevalence and prediction of cardiovascular events: The Cardiovascular Health Study. Diabetes Care. 2005 Apr;28(4):882-7.

Santos A-C, Lopes C, Barros H. Prevalence of metabolic syndrome in the city of Porto. Rev Port Cardiol. 2004 Jan;23(1):45-52.

Ravaglia G, Forti P, Maioli F, Bastagli L, Chiappelli M, Montesi F, Bolondi L, Patterson C. Metabolic syndrome: prevalence and prediction of mortality in elderly individuals. Diabetes Care. 2006 Nov;29(11):2471-6.

Guize L, Thomas F, Pannier B, Bean K, Danchin N, Bénétos A. Metabolic syndrome: prevalence, risk factors and mortality in a French population of 62 000 subjects. Bull Acad Natl Med. 2006 Mar;190(3):685-97; discussion 697-700.

Saukkonen T, Jokelainen J, Timonen M, Cederberg H, Laakso M, Härkönen P, Keinänen-Kiukaanniemi S, Rajala U. Prevalence of metabolic syndrome components among the elderly using three different definitions: a cohort study in Finland. Scand J Prim Health Care. 2012 Mar;30(1):29-34.

Cankurtaran M, Halil M, Yavuz BB, Dagli N, Oyan B, Ariogul S. Prevalence and correlates of metabolic syndrome (MS) in older adults. Arch Gerontol Geriatr. 2006 Jan-Feb;42(1):35-45.

He Y, Jiang B, Wang J, Feng K, Chang Q, Fan L, Li X, Hu FB. Prevalence of the metabolic syndrome and its relation to cardiovascular disease in an elderly Chinese population J Am Coll Cardiol. 2006 Apr 18;47(8):1588-94.

Wachholz PA, Masuda PY. Caracterização e prevalência de síndrome metabólica em idosos segundo dois critérios diagnósticos diferentes. Estud Interdiscip Envelhec. 2009;14(1):95-106.

Rigo JC, Vieira JL, Dalacorte RR, Reichert CL. Prevalência de síndrome metabólica em idosos de uma comunidade: comparação entre três métodos diagnósticos. Arq Bras Cardiol. 2009;93(2):85-91. http://dx.doi.org/10.1590/S0066-782X2009000800004

Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WPT, Loria CM, Smith SC. 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 Oct 20;120(16):1640-5. http://dx.doi.org/10.1161/CIRCULATIONAHA.109.192644

Ervin RB. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. Natl Health Stat Report. 2009 May 5;(13):1-7.

Gravina CF, Rosa RF, Franken, RA, Liberman A, Freitas EV, Wenger N, Batlouni M, Rich M, Nussbacher A, Forman D. Sociedade Brasileira de Cardiologia. II Diretrizes em Cardiogeriatria. Arq Bras Cardiol. 2010;95(3 supl 2):1–112.

Papakonstantinou E, Lambadiari V, Dimitriadis G, Zampelas A. Metabolic syndrome and cardiometabolic risk factors. Curr Vasc Pharmacol. 2013 Nov;11(6):858-79.

Jobim EFC, Closs VE, Schwanke CHA. Prevalência de hipertensão, excesso de peso e obesidade central em idosos diabéticos atendidos pelo programa saúde da família. Rev Amazon Geriatr Gerontol. 2013;5(1):16–26.

Lee S, Ko Y, Kwak C, Yim E. Gender differences in metabolic syndrome components among the Korean 66-year-old population with metabolic syndrome. BMC Geriatr. 2016 Jan 23;16:27. http://dx.doi.org/10.1186/s12877-016-0202-9

Pradhan AD. Sex differences in the metabolic syndrome: implications for cardiovascular health in women. Clin Chem. 2014 Jan;60(1):44-52. http://dx.doi.org/10.1373/clinchem.2013.202549

Carr MC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab. 2003 Jun;88(6):2404-11.

Oliveira AC, Leite AB, Lima ARV, Vasconcelos SML. Prevalência de síndrome metabólica em hipertensos de município da Zona da Mata Alagoana. Rev Bras Cardiol. 2010;23(5):270-6.

Scherer F, Vieira J. Estado nutricional e sua associação com risco cardiovascular e síndrome metabólica em idosos. Rev Nutr. 2010;23(3):347-55. http://dx.doi.org/10.1590/S1415-52732010000300003

Cervi A, Franceschini S, Priore S. Análise crítica do uso do índice de massa corporal para idosos. Rev Nutr. 2005;18(6):765-75. http://dx.doi.org/10.1590/S1415-52732005000600007

Heiat A, Vaccarino V, Krumholz HM. An evidence-based assessment of federal guidelines for overweight and obesity as they apply to elderly persons. Arch Intern Med. 2001 May 14;161(9):1194-203.

Lipschitz D. Screening for nutritional status in the elderly. Prim Care. 1994 Mar;21(1):55-67.

He Y, Jiang B, Wang J, Feng K, Chang Q, Zhu S, Fan L, Li X, Hu FB. BMI versus the metabolic syndrome in relation to cardiovascular risk in elderly Chinese individuals. Diabetes Care. 2007 Aug;30(8):2128-34.

Prospective Studies Collaboration, Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, Qizilbash N, Collins R, Peto R. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009 Mar 28;373(9669):1083-96.

Emerging Risk Factors Collaboration, Wormser D, Kaptoge S, Di Angelantonio E, Wood AM, Pennells L, Thompson A, Sarwar N, Kizer JR, Lawlor DA, Nordestgaard BG, Ridker P, Salomaa V, Stevens J, Woodward M, Sattar N, Collins R, Thompson SG, Whitlock G, Danesh J. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet. 2011 Mar 26;377(9771):1085-95. http://dx.doi.org/10.1016/S0140-6736(11)60105-0

Bogers RP, Bemelmans WJE, Hoogenveen RT, Boshuizen HC, Woodward M, Knekt P, van Dam RM, Hu FB, Visscher TLS, Menotti A, Thorpe RJ, Jamrozik K, Calling S, Strand BH, Shipley MJ. Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a meta-analysis of 21 cohort studies including more than 300 000 persons. Arch Intern Med. 2007 Sep 10;167(16):1720-8.

Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants. Lancet. 2014 Mar 15;383(9921):970-83. http://dx.doi.org/10.1016/S0140-6736(13)61836-X

Amato MC, Guarnotta V, Giordano C. Body composition assessment for the definition of cardiometabolic risk. J Endocrinol Invest. 2013 Jul-Aug;36(7):537-43.

Bosello O, Zamboni M. Visceral obesity and metabolic syndrome. Obes Rev. 2000 May;1(1):47-56.

Published

2016-07-30

How to Cite

Rosa, C. B., Agostini, J. A., Bianchi, P. D., Garces, S. B. B., Hansen, D., Moreira, P. R., & Schwanke, C. H. A. (2016). Metabolic Syndrome and nutritional status of elderly registered in the HiperDia system. Scientia Medica, 26(3), ID23100. https://doi.org/10.15448/1980-6108.2016.3.23100

Issue

Section

Special section on Metabolic Syndrome - Original Articles

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