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A antropometria representa um importante instrumento para a efetivacao de praticas na atencao primaria a saude e, embora muitos indicadores antropometricos tenham sido utilizados, a razao cintura-estatura (RCE) e o indice de adiposidade corporal (IAC) tem sido pouco explorados neste contexto, especialmente, entre idosos. Portanto, este estudo analisou diferentes indicadores antropometricos associados ao risco cardiometabolico de idosas em Nucleos de Apoio a Saude da Familia (NASFs) da cidade de Patos-PB. Em um estudo transversal descritivo, 53 idosas [Media (DP); idade: 72 (6) anos, massa corporal: 66,3 (13,4) kg, estatura: 152,6 (5,1) cm] foram submetidas a medidas antropometricas de massa corporal, estatura e circunferencias de cintura (CC), abdomen e quadril. Posteriormente, foram calculados: indice de massa corporal (IMC), RCE, indice de conicidade (IC) e IAC. O relacionamento entre os indicadores antropometricos foi calculado, a partir do coeficiente de correlacao de Pearson ( r ). Os resultados demonstraram que a maioria das idosas apresentou risco elevado para doencas cardiometabolicas, independentemente dos indicadores empregados. Com excecao do IC, os indicadores antropometricos apresentaram moderados a excelentes relacionamentos entre si ( P <0,05). Embora o IAC tenha demonstrado bons relacionamentos, a RCE foi o indicador com correlacoes mais fortes com os demais (0,606< r <0,954). Conclui-se que idosas cadastradas em diferentes NASFs da cidade de Patos-PB apresentaram risco moderado a elevado para doencas cardiometabolicas, sobretudo, a partir da analise conjunta do IMC/CC e da RCE. Assim, medidas antropometricas sao recomendadas, a fim de contribuirem para a identificacao de fatores predeterminantes de doencas nao-comunicaveis em idosos na atencao primaria a saude. Palavras-chave : Antropometria. Saude do Idoso. Estrategia Saude da Familia. Doencas Cardiovasculares. Abstract Anthropometry represents an important tool for the implementation of primary health care practices, and although a lot of anthropometric indices have been used, the waist-height ratio (WHR) and the body adiposity index (BAI) have been little explored in this context, especially among the elderly. Therefore, this study analyzed different anthropometric indicators associated with the cardiometabolic risk of elderly women in Family Health Support Centers (FHSC) in Patos-PB. In a descriptive cross-sectional study, 53 elderly women [mean (SD); age: 72 (6) years, body mass: 66.3 (13.4) kg, height: 152.6 (5.1) cm] underwent anthropometric measures of body mass, height and waist (WC), abdomen and hip circumferences. Subsequently, body mass index (BMI), WHR, conicity index (CI) and BAI were calculated. The relationship among  the anthropometric indexes was calculated using the Pearson correlation coefficient ( r ). Results showed the majority of the elderly presented a high risk for cardiometabolic diseases, regardless of the used index. With the exception of CI, the anthropometric indicators presented moderate to excellent relationships ( P <0.05). Although BAI showed good relationships, the WHR was the indicator with stronger correlations with the others (0.606< r <0.954). In conclusion, elderly women enrolled in different FHSC in Patos-PB presented moderate to high risk for cardiometabolic diseases, mainly from the analysis of  BMI and WC analysis together with  WHR. Thus, anthropometric measures are recommended in order to contribute to the identification of predictors of noncommunicable diseases in the elderly in primary health care. Keywords : Anthropometry.  Health of the Elderly. Family Health Strategy. Cardiovascular Diseases.

Anthropometric Indicators Associated with the Cardiometabolic Risk of Elderly Women in Family Health Support Centers