Central adiposity as a predictor of mortality in older adults: Identification of cutoffs using generalized additive models.

Background: Obesity is associated with premature mortality in adults; however, this association has been inconsistent in the older adult population. In addition, there is a lack of specific cutoff points for indicators of negative health outcomes in older adults. Methods: This is a prospective study with 796 non-institutionalized older adults. Data on sociodemographic characteristics, lifestyle, food consumption, and nutritional status were obtained at baseline. Generalized additive models were used to identify cutoff points for the waist circumference (WC) and waist-to-height ratio (WHtR) and Cox proportional hazards models to assess the independent association between adiposity and mortality. Results: Over the 9 years of follow-up, 197 deaths (24.7%) occurred, of which 51.8% were men, with a mean age of 76.1 ± 9.0 years. Older adults at higher risk of death had WHtR of <0.52 or ≥0.63 and WC of <83 cm or ≥101 cm. An increased risk of death was observed in older adults with high WC (HR: 2.03 95% CI: 1.20-3.41) and high WHtR (HR: 1.51 95% CI: 1.01-2.26) in the adjusted models, and an increase in WC was a risk factor for higher CVD mortality (HR: 2.09, 95% CI: 1.12-3.88) in the adjusted models. Conclusion: Adiposity was associated with an increased risk of death in older adults. In view of these results and considering the lack of cutoff points for anthropometric indices in Brazilian older adults, further studies are needed to confirm the WC and WHtR cutoff values found in this study.

Proposition of Cutoff Points for Anthropometric Indicators to Identify High Blood Pressure in Adolescents.

Aim: To propose cutoff points for anthropometric indicators for high blood pressure (HBP) screening in adolescents and to identify, among these indicators, those more accurately for boys and girls. Methods: This cross-sectional study was carried out in the city of São José, SC, Brazil with 634 adolescents aged 14 to 19 years. Blood pressure levels were measured using a digital oscillometric sphygmomanometer and adolescents were classified as having HBP or not. Anthropometric indicators were calculated based on anthropometric measurements such as body mass (BM), height, waist circumference (WC), hip circumference (HC) and triceps, subscapularis, suprailiac, and midcalf skinfold thickness (SF). The Receiver Operating Characteristic Curve (ROC) was used to analyze the predictive capacity of anthropometric indicators in the identification of HBP. Results: Higher values of Area Under the Curve (AUC) were for the anthropometric indicators BM (0.67; 95%CI: 0.62-0.72), body mass index (BMI) (0.67; 95%CI: 0.62-0.72), and WC (0.67; 95%CI: 0.62-0.71) for males. For females, no anthropometric indicator had discriminatory power for HBP screening. The cutoff points for the anthropometric indicators with discriminatory power for HBP screening in males were BM > 64.80 Kg, BMI > 21.76 Kg/m2, fat percentage (FP) > 15.75, waist height to ratio (WHtR) > 0.41, WC > 73.00 cm, and HC > 92.25 cm. Conclusion: Anthropometric indicators of body adiposity had greater discriminatory power of HBP screening in males. For females, caution is suggested because the anthropometric indicators showed AUC values (95%CI) below 0.60.

Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals / Capacidade preditiva de indicadores de adiposidade sobre a síndrome metabólica em idosos

ABSTRACT Objective To evaluate the predictive ability of adiposity indicators as MetS predictors in elderly individuals. Methods Cross-sectional study enrolled in the Estratégia Saúde da Família (Family Health Strategy). Anthropometric measurements were measured. Body Mass Index, Waist-Hip Ratio, Waist-Height Ratio, Conicity Index and Body Adiposity Index were calculated. Blood was collected and resting blood pressure was measured. MetS was classified according to the harmonizing criteria. The predictive ability of anthropometric variables was evaluated using Receiver Operating Characteristic curves. Results Regarding male individuals, our research indicates that the BMI, Waist-Height Ratio and Waist Hip Ratio are better predictors and they are equivalent to each other. As for female individuals, results show that the Body Mass Index and Waist-Height Ratio are better predictors and equivalent to each other. Conclusion Waist-Height Ratio and Body Mass Index are good MetS predictors for elderly individuals, especially among men. More research in this area is important. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (Viçosa University Ethics Committee in Research with Human Beings) (nº 039/2011).

RESUMO Objetivo Este estudo objetivou avaliar a capacidade preditiva dos indicadores de adiposidade como preditores da Síndrome Metabólica em idosos. Métodos Trata-se de estudo transversal com idosos inscritos na Estratégia Saúde da Família. Foram aferidas medidas antropométricas e calculados o Índice de Massa Corporal, a Relação Cintura-Quadril, a Relação Cintura-Estatura, o Índice de Conicidade e o Índice de Adiposidade Corporal. Foi coletada amostra sanguínea e aferida a pressão arterial de repouso. A Síndrome Metabólica foi classificada de acordo com os Critérios Harmonizados. A capacidade preditiva das variáveis antropométricas foi avaliada por meio das curvas Receiver Operating Characteristic. Resultados Para o sexo masculino, o Índice de Massa Corporal, a Relação Cintura-Estatura e a Relação Cintura-Quadril são melhores preditores e equivalentes entre si. Já para o sexo feminino, os dois primeiros são melhores preditores e equivalentes entre si. Conclusão Concluiu-se que o Índice de Massa Corporal e a Relação Cintura-Estatura são bons preditores da Síndrome Metabólica em indivíduos idosos, especialmente entre homens. Mais investigações nesse âmbito se fazem importantes. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (nº 039/2011).

Cutoff Points of BMI for Classification of Nutritional Status Using Bioelectrical Impedance Analysis.

The objective of this study was to improve the cutoff points of the traditional classification of nutritional status and overweight / obesity based on the BMI in a Brazilian sample. A cross-sectional study was conducted on 1301 individuals of both genders aged 18 to 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Simple linear regression was used for statistical analysis, with the level of significance set at p < 0.05. The sample consisted of 29.7% men and 70.3% women aged on averaged 35.7 ± 17.6 years; mean weight was 67.6 ± 16.0 kg, mean height was 164.9 ± 9.5 cm, and mean BMI was 24.9 ± 5.5 kg/m2. As expected, lower cutoffs were found for BMI than the classic reference points traditionally adopted by the WHO for the classification of obesity, i.e., 27.15 and 27.02 kg/m2 for obesity for men and women, respectively. Other authors also follow this tendency, Romero-Corral et al. (2008) suggested 25.8 to 25.5 kg/m2 for American men and women as new values for BMI classification of obesity. Gupta and Kapoor (2012) proposed 22.9 and 28.8 kg/m2 for men and women of North India. The present investigation supports other literature studies which converge in reducing the BMI cutoff points for the classification of obesity. Thus, we emphasize the need to conduct similar studies for the purpose of defining these new in populations of different ethnicities.

Contabilidad, validez de criterio y discriminante del Montreal Cognitive Assessment (MoCA) test, en un grupo de adultos de Bogotá / Reliability, criterion and discriminant validity of the Montreal Cognitive Assessment Test (MoCA) in a group of adults from Bogotá

Resumen Introducción: el MoCA-test es un instrumento breve de tamizaje, sensible y específico, utilizado para la detección del deterioro cognitivo leve (DCL) y la demencia, con puntos de corte que varían según la población estudiada. Objetivo: evaluar la confiabilidad y validez discriminante del MoCA-test, en un grupo de adultos de Bogotá, con diferentes escolaridades. Material y Métodos: se aplicó el MoCA-test y el MMSE, a 1174 adultos mayores de 50 años de diferentes localidades de Bogotá. Los sujetos con MoCA-test < 26 y MMSE <24, fueron citados a una segunda evaluación aplicándoseles un protocolo amplio y fueron analizados por consenso, para determinar normalidad o deterioro cognitivo. Se determinó la consistencia interna (con coeficiente alpha de Cronbach), confiabilidad test-retest (con coeficiente de Lin), la validez de criterio (con coeficiente de Spearman) y validez discriminante (por medio de curvas ROC) del MoCA-Test. Resultados: la consistencia interna (alfa-Cronbach=0.851) y la confiabilidad test-retest (Lin=0.62) fueron aceptables. La validez de criterio respecto al MMSE, fue moderada (r=0.65). El MoCA mostró capacidad para discriminar entre diferentes grupos diagnósticos y sociodemográficos. El área bajo la curva fue 0.76 para DCL y 0,81 para demencia; el punto de corte para discriminar entre normalidad y DCL en el grupo en general fue 20/21 y entre DCL y demencia 17/18. Estos puntos variaron con el grado de escolaridad. Conclusión: el MoCA-test puede ser el instrumento de tamización en atención primaria, para detectar deterioro cognitivo en nuestra población adulta, considerando los puntos de corte propuestos según la escolaridad. (Acta Med Colomb 2016; 40: 221-228).

Abstract Introduction: the MoCA-Test is a brief, sensitive and specific screening tool used to detect mild cognitive impairment (MCI) and dementia, with cut-off points that vary according to the population studied. Objective: to evaluate the reliability and discriminant validity of the MoCA-test, in a group of adults from Bogotá, with different levels of schooling. Material and Methods: the MoCA-test and the MMSE were applied to 1174 adults over 50 years old from different locations in Bogotá. Subjects with MoCA-test <26 and MMSE <24, were referred to a second evaluation by applying a broad protocol and were analyzed by consensus, to determine normality or cognitive impairment. Internal consistency (with Cronbach's alpha coefficient), test-retest reliability (with Lin coefficient), criterion validity (with Spearman's coefficient) and discriminant validity (using ROC curves) of the MoCA-Test were determined. Results: internal consistency (alpha-Cronbach = 0.851) and test-retest reliability (Lin = 0.62) were acceptable. The criterion validity with respect to MMSE was moderate (r = 0.65). The MoCA-test showed the capacity to discriminate between different diagnostic and sociodemographic groups. The area under the curve was 0.76 for MCI and 0.81 for dementia; the cutoff point for discriminating between normality and MCI in the group in general was 20/21 and between MCI and dementia 17/18. These points varied with the level of schooling. Conclusion: the MoCA-test can be the screening tool in primary care in order to detect cognitive impairment in our adult population, considering the proposed cutoff points according to schooling. (Acta Med Colomb 2016; 40: 221-228).

Aptidão cardiorrespiratória em adolescentes estimada pelo teste de corrida e/ou caminhada de 9 minutos / Estimation of cardiorespiratory fitness in adolescents with the 9-minute run/walk test

Analisar a estimativa da aptidão cardiorrespiratória (ACR) em adolescentes de 10 a 12 anos a partir da aplicação do teste de corrida e/ou caminhada de 9 minutos. Participaram 115 adolescentes (61 rapazes e 54 moças), idade média de 12,2(0,9) e 12,1(0,7) anos, massa corporal 47,5(13,6) e 45,0(13,2) kg, estatura 150,9(7,7) e 150,4(7,3) cm e VO2pico 49,9(9,5) e 42,2(7,4)mL/kg/min em rapazes e moças, respectivamente. Os sujeitos realizaram um teste máximo na esteira e um teste de campo de corrida e/ou caminhada de 9 minutos (9 min). A relação entre o VO2 e o teste 9 min foi analisada pelo coeficiente de correlação de Pearson. A diferença entre as proporções dos adolescentes que atenderam os critérios de saúde e a concordância entre os pontos de corte propostos pelo Physical Best e o Fitnessgram para a ACR foi analisada com o teste de McNemar e o índice Kappa, respectivamente, com significância de 5%. O teste de 9 min demonstrou uma correlação moderada (r=0,64) com o VO2 pico mensurado diretamente, para ambos os sexos, e de forma estratificada, apresentou maiores valores nos meninos (r=0,59) em relação às meninas (r=0,43). Os pontos de corte apresentaram diferenças em sua classificação (P< 0,001) e uma fraca concordância (Kappa=0,19) em relação a classificação da ACR. Os resultados apontam que o teste de 9 min parece ser um indicador válido da ACR de adolescentes de 10 a 12 anos, contudo, deve-se ter cautela na escolha dos pontos de corte para a classificação desse componente.

The aim of this study was to analyze estimation of cardiorespiratory fitness (CRF) in adolescents aged 10 to 12 years by means of the 9-minute run/walk test. A total of 115 adolescents (61 boys and 54 girls) took part in the study. Mean age was 12.2±0.9 and 12.1±0.7 years, body mass 47.5±13.6 and 45.0±13.2 kg, height 150.9±7.7and 150.4±7.3 cm, and VO2peak 49.9±9.5 and 42.2±7.4 mL/kg/min in boys and girls respectively. The subjects performed a maximal treadmill test and a 9-minute run/walk field test (9-minute test). The relationship between VO2 and the 9-minute test was analyzed by Pearson's correlation coefficient. The difference between the proportions of adolescents who met health criteria and agreement between the CRF cutoff points proposed in the Physical Best and Fitnessgram batteries was analyzed with McNemar's test and the Kappa statistic respectively. The significance level was set at 5%. There was moderate correlation (r=0.64) between the 9-minute test and directly measured VO2peak in the sample as a whole. Gender-stratified analysis showed higher correlation in boys (r=0.59) than in girls (r=0.43). There were significant differences between the tested cutoff points (P<0.001) and weak agreement (Kappa = 0.19) in relation to CRF. These findings suggest that the 9-minute test appears to be a valid indicator of CRF in adolescents between the ages of 10 and 12. However, care should be taken when choosing cutoff points for classification of cardiorespiratory fitness.

Predição da resistência à insulina em crianças: indicadores antropométricos e metabólicos / Predicting insulin resistance in children: anthropometric and metabolic indicators

OBJETIVO: Predizer a resistência à insulina em crianças a partir de indicadores antropométricos e metabólicos por análise de sensibilidade e especificidade dos pontos de corte. MÉTODOS: Estudo transversal foi realizado em 109 crianças de 7 a 11 anos, sendo 55 obesas, 23 sobrepesadas e 31 eutróficas, classificadas pelo índice de massa corporal (IMC) para idade. Foram medidos IMC, circunferências da cintura e quadril, razão circunferência da cintura/circunferência do quadril, índice de conicidade e percentual de gordura (absortometria de raio X de dupla energia). Coleta sangüínea em jejum foi realizada para mensuração da trigliceridemia, glicemia e insulinemia. A resistência à insulina foi avaliada pelo método homeostase glicêmica, considerando-se o percentil 90 como ponto de corte. Na identificação dos preditores de homeostase glicêmica, foi adotada a análise das curvas receiver operating characteristic com intervalo de confiança de 95 por cento, calculando-se posteriormente a sensibilidade e especificidade. RESULTADOS: Os indicadores com poder de predição da resistência à insulina analisando a área sob a curva receiver operating characteristic (intervalo de confiança), com respectivos pontos de corte, foram, nesta ordem: insulinemia = 0,99 (0,99-1,00), 18,7 µU×mL-1; percentual de gordura = 0,88 (0,81-0,95), 41,3 por cento; IMC = 0,90 (0,83-0,97), 23,69 kg×m²-¹; circunferência da cintura = 0,88 (0,79-0,96), 78,0 cm; glicemia = 0,71 (0,54-0,88), 88,0 mg×dL-1; trigliceridemia = 0,78 (0,66-0,90), 116,0 mg×dL-1 e índice de conicidade = 0,69 (0,50-0,87), 1,23 para amostra total; e insulinemia = 0,99 (0,98-1,00), 19,54 µU×mL-1; percentual de gordura = 0,76 (0,64-0,89), 42,2 por cento; IMC = 0,78 (0,64-0,92), 24,53 kg×m²-¹; circunferência da cintura = 0,77 (0,61-0,92), 79,0 cm e trigliceridemia = 0,72 (0,56-0,87), 127,0 mg×dL-1 para os obesos. CONCLUSÕES: Indicadores antropométricos e metabólicos...

OBJECTIVE: To predict insulin resistance in children based on anthropometric and metabolic indicators by analyzing the sensitivity and specificity of different cutoff points. METHODS: A cross-sectional study was carried out of 109 children aged 7 to 11 years, 55 of whom were obese, 23 overweight and 31 well-nourished, classified by body mass index (BMI) for age. Measurements were taken to determine BMI, waist and hips circumferences, waist circumference/hip circumference ratio, conicity index and body fat percentage (dual emission X-ray absorptiometry). Fasting blood samples were taken to measure triglyceridemia, glycemia and insulinemia. Insulin resistance was evaluated by the glycemic homeostasis method, taking the 90th percentile as the cutoff point. Receiver operating characteristic curves were analyzed to a 95 percent confidence interval in order to identify predictors of glycemic homeostasis, and sensitivity and specificity were then calculated. RESULTS: After analysis of the area under the receiver operating characteristic curve (confidence interval), indicators that demonstrated the power to predict insulin resistance were, in the following order: insulinemia = 0.99 (0.99-1.00), 18.7 µU×mL-1; body fat percentage = 0.88 (0.81-0.95), 41.3 percent; BMI = 0.90 (0.83-0.97), 23.69 kg×m2-¹; waist circumference= 0.88 (0.79-0.96), 78.0 cm; glycemia = 0.71 (0.54-0.88), 88.0 mg×dL-1; triglyceridemia = 0.78 (0.66-0.90), 116.0 mg×dL-1 and conicity index = 0.69 (0.50-0.87), 1.23 for the whole sample; and were: insulinemia = 0.99 (0.98-1.00), 19.54 µU×mL-1; body fat percentage = 0.76 (0.64-0.89), 42.2 percent; BMI = 0.78 (0.64-0.92), 24.53 kg×m2-¹; waist circumference = 0.77 (0.61-0.92), 79.0 cm and triglyceridemia = 0.72 (0.56-0.87), 127.0 mg×dL-1, for the obese subgroup. CONCLUSIONS: Anthropometric and metabolic indicators appear to offer good predictive power for insulin resistance in children...