Submitted by PPG Gerontologia Biom?dica (geronbio@pucrs.br) on 2018-11-26T10:29:25Z No. of bitstreams: 1 CEOLIN_JAMILE_DIS.pdf: 5734789 bytes, checksum: a5fc91e4d004e1c48342aa425f83a4e8 (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-11-28T11:06:54Z (GMT) No. of bitstreams: 1 CEOLIN_JAMILE_DIS.pdf: 5734789 bytes, checksum: a5fc91e4d004e1c48342aa425f83a4e8 (MD5) / Made available in DSpace on 2018-11-28T11:14:21Z (GMT). No. of bitstreams: 1 CEOLIN_JAMILE_DIS.pdf: 5734789 bytes, checksum: a5fc91e4d004e1c48342aa425f83a4e8 (MD5) Previous issue date: 2018-03-28 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / Performance of anthropometric indicators in the prediction of metabolic syndrome in elderly people attended basic care. 2018. 118f. Dissertation (Master in Biomedical Gerontology) - Escola de Medicina da Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Porto Alegre, 2018. Introduction: Metabolic syndrome (MetS) is frequent among the elderly and is associated with negative outcomes such as cardiovascular morbidity, cancer and mortality. Studies have demonstrated the performance of anthropometric indicators in the prediction of metabolic syndrome, however, studies involving the elderly population in general and Brazilian in particular are insipient. Objectives: To describe the frequency of MetS and its components in elderly patients assisted in basic care and to determine the performance of anthropometric indicators in the prediction of metabolic syndrome. Methods: This is a cross-sectional study with 479 elderly people who were evaluated in the Epidemiological and Clinical Study of the Elderly Attended by the Family Health Strategy of the Municipality of Porto Alegre (EMI-SUS). For the diagnosis of MetS, the revised NCEP-ATPIII criterion was used. The variables under investigation were: MetS and its components (central obesity, decreased HDL-c and triglycerides, high blood pressure and glucose); (age, sex and age) and five anthropometric indicators (neck circumference, sagittal abdominal diameter (SAD), SAD/height ratio, sagittal index and conicity index]. The predictive power and cut-off points of the anthropometric indicators were determined using Receiver Operating Characteristic (ROC) curves. The anthropometric indicators that presented area under the curve (auROC)> 0.70 were considered as adequate performance. Results: The majority of the sample was female (63.5%) and had MetS (60.5%). The most frequent MetS was high blood pressure (69.5%) and the least frequent was decreased HDL cholesterol (34.9%). In the total sample, the anthropometric indicators that demonstrated adequate performance were SAD/height (cutoff point: 0.14, auROC: 0.810, 95% CI: 0.771-0.850), SAD (cut-off point: 24.65 cm, 0.777, 95% CI: 0.734-0.820) and conicity index (cut-off point: 1.57, aROC: 0.706, 95% CI: 0.660-0.753). In females, anthropometric indicators with adequate performance were the SAD (cut-off point: 23.34 cm, auROC: 0.820, 95% CI: 0.766-0.875), SAD/height (cutoff point: 0.13, auROC: 0.810 , 95% CI: 0.755-0.865), neck circumference (cutoff point: 34.09 cm, auROC: 0.782, 95% CI: 0.727-0.838), and conicity index (cutoff point: 1.56, auROC: 0.727; 95% CI: 0.666-0.788). In males, the indicators with adequate performance were SAD/height (cutoff point: 0.14, auROC: 0.768, 95% CI: 0.695-0.841), SAD (cutoff point: 25.04 cm, auROC: 0.760; %: 0.685-0.835), and conicity index (cutoff point: 1.61, auROC: 0.724, 95% CI: 0.649-0.799). Conclusions: The elderly attending the Family Health Strategy had a high frequency of metabolic syndrome (60.5%). It was observed that, of the five anthropometric indicators investigated, three (SAD/height, SAD, and conicity index) performed well in the total sample, four (SAD, SAD/height, neck circumference and conicity index) in women and three in men (SAD/height, SAD and conicity index). That is, SAD, SAD/height and conicity index were adequate in all three segments. / Desempenho de indicadores antropom?tricos na predi??o de s?ndrome metab?lica em idosos assistidos na aten??o b?sica. 2018. 118f. Disserta??o (Mestrado em Gerontologia Biom?dica) ? Escola de Medicina da Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Porto Alegre, 2018. Introdu??o: A s?ndrome metab?lica (SM) ? frequente entre idosos e associa-se a desfechos negativos como morbidades cardiovasculares, c?ncer e mortalidade. Estudos t?m demonstrado o desempenho de indicadores antropom?tricos na predi??o de s?ndrome metab?lica, contudo, estudos envolvendo a popula??o idosa em geral e brasileira em particular s?o insipientes. Objetivos: Descrever a frequ?ncia de SM e de seus componentes em idosos assistidos na aten??o b?sica e determinar o desempenho de indicadores antropom?tricos na predi??o de s?ndrome metab?lica. M?todos: Trata-se de um estudo com delineamento transversal, com 479 idosos que foram avaliados no Estudo Epidemiol?gico e Cl?nico dos Idosos Atendidos pela Estrat?gia Sa?de da Fam?lia do Munic?pio de Porto Alegre (EMI-SUS). Para o diagn?stico de SM foi utilizado o crit?rio NCEP-ATPIII revisado. As vari?veis em investiga??o foram: SM e seus componentes (obesidade central, HDL-c diminu?do e triglicer?dios, press?o arterial e glicose elevados); vari?veis demogr?ficas (idade, sexo e faixa et?ria) e cinco indicadores antropom?tricos [circunfer?ncia do pesco?o, di?metro abdominal sagital (DAS), rela??o DAS/estatura (DAS/estatura), ?ndice sagital e ?ndice de conicidade]. O poder preditivo e os pontos de corte dos indicadores antropom?tricos foram determinados por meio de curvas Receiver Operating Characteristic (ROC). Os indicadores antropom?tricos que apresentaram ?rea sob a curva (auROC) >0,70 foram considerados como desempenho adequado. Resultados: A maioria da amostra era do sexo feminino (63,5%) e apresentava SM (60,5%). O componente da SM mais frequente foi press?o arterial elevada (69,5%) e o menos frequente foi HDL-colesterol diminu?do (34,9%). Na amostra total, os indicadores antropom?tricos que demonstraram desempenho adequado foram o DAS/estatura (ponto de corte:0,14; auROC:0,810; IC95%:0,771-0,850), DAS (ponto de corte:24,65 cm; auROC:0,777; IC95%:0,734-0,820) e ?ndice de conicidade (ponto de corte:1,57; auROC:0,706; IC95%:0,660-0,753). No sexo feminino, os indicadores antropom?tricos com desempenho adequado foram o DAS (ponto de corte:23,34 cm; auROC:0,820; IC95%:0,766-0,875), DAS/estatura (ponto de corte:0,13; auROC:0,810; IC95%:0,755-0,865), circunfer?ncia do pesco?o (ponto de corte:34,09 cm; auROC:0,782; IC95%:0,727-0,838) e ?ndice de conicidade (ponto de corte:1,56; auROC:0,727; IC95%:0,666-0,788). No sexo masculino, os indicadores com desempenho adequado foram DAS/estatura (ponto de corte:0,14; auROC:0,768; IC95%:0,695-0,841), DAS (ponto de corte:25,04 cm; auROC:0,760; IC95%:0,685-0,835), e ?ndice de conicidade (ponto de corte:1,61; auROC:0,724; IC95%:0,649-0,799). Conclus?es: Os idosos atendidos na Estrat?gia Sa?de da Fam?lia apresentaram elevada frequ?ncia de s?ndrome metab?lica (60,5%). Observou-se que, dos cinco indicadores antropom?tricos investigados, tr?s (DAS/estatura, DAS, e ?ndice de conicidade) apresentaram bom desempenho na amostra total, quatro (DAS, DAS/estatura, circunfer?ncia do pesco?o e ?ndice de conicidade) nas mulheres e tr?s nos homens (DAS/estatura, DAS e ?ndice de conicidade). Ou seja, DAS, DAS/estatura e ?ndice de conicidade mostraram-se adequados nos tr?s segmentos.