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SUMMARY: This article has two aims: (a) first aim was to determine what is the most applicable and the simplest alternative for recommended BMI categories for underweight, overweight and obesity related to IOTF references, from the practical standpoint; (b) second aim was to determine the prevalence of the nutritional status in Montenegro on this representative sample of school children aged 9-13 years and compare them with peers from relevant and similar studies from both the local region and globally. A total sample of 1478 healthy children from Montenegro participated in this study divided into two sub-samples of 732 girls and 746 boys. According to the IOTF body mass index (BMI) reference values were used through ROC curve analysis to evaluate potential alternatives for estimation of the nutritional status of this sample of children. Only WHtR did not show significant age-related differences in the case of both genders. Considering the nutritional status of children from this study it has been found that boys have a considerably higher prevalence of being overweight (22.7 % vs. 16.4 %) and obese (7.5 % vs. 3.3 %) compared to girls. On the other hand, girls were more prevalent to be underweight (10.5 % vs. 7.5 %). WHtR seems like the best alternative for the estimation of obesity and being overweight due to simplicity and the equipment needed.
Este artículo tiene dos objetivos: (a) el primero fue determinar cuál es la alternativa más aplicable y más sencilla para las categorías de IMC recomendadas para bajo peso, sobrepeso y obesidad relacionadas con las referencias de la IOTF, desde el punto de vista práctico; (b) el segundo objetivo fue determinar la prevalencia del estado nutricional en Montenegro en esta muestra representativa de escolares de 9 a 13 años y compararlos con pares de estudios relevantes y similares tanto de la región local como a nivel mundial. En el estudio participaron 1478 niños sanos de Montenegro divididos en dos submuestras de 732 niñas y 746 niños. De acuerdo con el índice de masa corporal (IMC) de la IOTF, se utilizaron valores de referencia mediante análisis de curvas ROC para evaluar posibles alternativas para la estimación del estado nutricional de esta muestra en niños. Sólo el ICT no mostró diferencias significativas relacionadas con la edad en el caso de ambos sexos. Teniendo en consideración el estado nutricional de los niños, se determinó que los éstos tenían una prevalencia considerablemente mayor de sobrepeso (22,7 % frente a 16,4 %) y obesidad (7,5 % frente a 3,3 %) en comparación con las niñas. Por otro lado, las niñas tenían más prevalencia de bajo peso (10,5 % frente a 7,5 %). El WHtR parece la mejor alternativa para la estimación de la obesidad y el sobrepeso por su sencillez y equipamiento necesario.
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Humanos , Masculino , Femenino , Niño , Adolescente , Estudiantes , Composición Corporal , Estado Nutricional , Grosor de los Pliegues Cutáneos , Peso Corporal , Montenegro , Relación Cintura-EstaturaRESUMEN
INTRODUCTION: Nutritional status assessment commonly relies on body mass index (BMI), which overlooks lean mass and adipose tissue distribution. However, waist circumference (WC) and waist-to-height ratio (WHtR) provide additional insights into fat accumulation. By combining these indices, it may be possible to identify older adults needing weight management interventions. OBJECTIVES: To assess the WC and WHtR as strategies for identifying individuals requiring weight management. METHODS: A cross-sectional study was conducted with 509 elderly individuals in Northeast Brazil. Weight, height, hip circumference, and waist circumference were measured, and combined with indices such as BMI WC, WHR, and WHtR to identify those who require weight management. The DeLong test compared areas under the curves using receiver operating characteristic curves and statistical significance. Sensitivity, specificity, and positive and negative predictive values were calculated to verify usefulness for clinical application. A validation sample of 599 elderly individuals from the country's Southern region was used to confirm the results. RESULTS: Both WC and WHtR showed adequate diagnostic accuracy with no statistically significant difference in AUCs. WHtR ≥ 0.50 had 92% sensitivity in identifying men and women requiring nutritional management. WC presented lower sensitivity but 93% specificity, useful for excluding elderly individuals from the nutritional risk category. These results were consistent in the validation sample. CONCLUSION: WHtR is a valuable index for screening nutritional risk management in the elderly population, applicable to men and women. Conversely, WC performs better in excluding individuals who do not need nutritional risk management.
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Objective: To analyze the agreement between body mass index (BMI) and waist-to-height Ratio (WHtR) to identify preschool and school children with cardiovascular risk factors (CRFs). Methods: Three-hundred-twenty-one kids were divided into preschool (3-5 years) and school children (6-10 years). BMI was used to classify children as overweight or obese. Abdominal obesity was defined with a WHtR ≥0.50. Fasting blood lipids, glucose and insulin were measured, and the homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. The presence of CRFs and multiple non-waist circumference (non-WC) metabolic syndrome factors (MetS-Factors) [high HOMA-IR, high triglycerides and low high-density lipoprotein cholesterol (HDL-C)] were analyzed. Results: One-hundred-twelve preschool and 209 school children were evaluated. WHtR ≥0.50 classified abdominal obesity in more than half of the preschool children, exceeding those classified with overweight+obesity by BMI (59.5% vs. 9.8%; p<0.001). There was no agreement between WHtR and BMI to identify preschool kids with CRFs and multiple non-WC MetS-Factors (kappa: 0.0 to 0.23, p>0.05). There were similar proportions of school children classified with abdominal obesity by the WHtR and overweight+obesity by the BMI (18.7% vs. 24.9%; p>0.05). There was substantial agreement between WHtR and BMI to identify school children with high total cholesterol values, low-density lipoprotein cholesterol (LDL-C), triglycerides, non-HDL-C, insulin, HOMA-IR, low HDL-C values, and the presence of multiple non-WC MetS-Factors (kappa: 0.616 to 0.857, p<0.001). Conclusion: In preschool children WHtR ≥0.5 disagree with BMI results, but in school kids, it has good agreement with the BMI to classify the children´s nutritional status and to identify those with CRFs.
Objetivo: Analizar el grado de acuerdo entre el índice de masa corporal (IMC) y la relación/cintura estatura (rCE) para identificar niños con factores de riesgo cardiovascular (FRC). Métodos: Estudio transversal analítico con 112 niños preescolares (3-5 años) y 209 escolares (6-10 años). El sobrepeso y la obesidad se clasificaron con el IMC y la obesidad abdominal con la rCE ≥0.50. Se tomaron muestras sanguíneas en ayuno para análisis de glucosa, insulina, lípidos y cálculo del índice HOMA-IR. Se analizó la presencia de FRC y de múltiples factores del síndrome metabólico (Factores-SinMet) diferentes a la cintura [HOMA-IR elevado, triglicéridos elevados y colesterol de alta densidad (HDL-C) bajo]. Resultados: rCE ≥0.50 clasificó con obesidad abdominal a más de la mitad de los niños preescolares, excediendo el número de niños clasificados con sobrepeso+obesidad por IMC (59.5% vs 9.8%; p<0.001). No hubo acuerdo entre el IMC y la rCE para identificar niños preescolares con FRC o múltiples Factores-SinMet diferentes a la cintura (kappa: 0.0 a 0.23, p>0.05). Fueron similares las proporciones de niños escolares clasificados con obesidad abdominal por la rCE o con sobrepeso+obesidad por el IMC (18.7% vs. 24.9%; p>0.05). Hubo acuerdo sustancial entre la rCE y el IMC para identificar niños escolares con valores elevados de colesterol total, colesterol de baja densidad, triglicéridos, colesterol no-HDL, insulina, HOMA-IR, valores bajos de HDL-C y la presencia de múltiples Factores-SinMet diferentes a la cintura (kappa: 0.616 a 0.857, p<0.001). Conclusión: En niños preescolares la aplicación de rCE ≥0.5 no presenta acuerdo con el IMC, pero en escolares presenta un acuerdo sustancial con el IMC en la clasificación del estado nutricional y en la identificación de niños con FRC.
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Enfermedades Cardiovasculares , Insulinas , Humanos , Preescolar , Niño , Índice de Masa Corporal , Sobrepeso/epidemiología , Sobrepeso/complicaciones , Factores de Riesgo , Obesidad Abdominal/epidemiología , Obesidad Abdominal/complicaciones , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/etiología , Colombia/epidemiología , Relación Cintura-Estatura , Obesidad/complicaciones , Triglicéridos , Colesterol , Factores de Riesgo de Enfermedad CardiacaRESUMEN
BACKGROUND: Waist-to-height ratio (WHtR) is one of the anthropometric measures associated with cardiovascular risk (CVR). However, WHtR cut-off points may vary depending according to population characteristics, including sex and height. OBJECTIVE: To identify optimal WHtR cut-off points to predict CVR factors by sex in Mexican adults according to height. MATERIAL AND METHODS: Information from adults >20 years (n = 3550) from the 2016 National Health and Nutrition Survey were analyzed. Prevalence of high WHtR, CVR factors (glucose and insulin, lipid profile (total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides) and blood pressure were estimated by sex and height (short height <1.60 and <1.50 m in men and women, respectively). The maximum proximity procedure was used to establish the point of maximum simultaneous sensitivity and specificity using the operating characteristic curve of the receiver. The estimates were stratified by sex and height condition. RESULTS: The WHtR cut-off points identified to predict CVR were higher than those suggested for international use (≥0.5), being significantly higher (p <0.0001) for women (0.61) than for men (0.56). Also, the WHtR cut-off points were higher for short stature (men 0.58 and 0.56, women 0.63 and 0.58, with short and normal stature, respectively). CONCLUSIONS: The WHtR cut-off points for predicting CVR in the Mexican population were higher than 0.5 in both sexes and it was higher for individuals with short stature. The identified cut-off points may be an additional tool in screening the adult population in Mexico to predict CVR.
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Enfermedades Cardiovasculares , Obesidad , Masculino , Humanos , Adulto , Femenino , Obesidad/epidemiología , Factores de Riesgo , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/complicaciones , México/epidemiología , Índice de Masa Corporal , Factores de Riesgo de Enfermedad Cardiaca , Circunferencia de la Cintura , Curva ROCRESUMEN
Objective: To analyze the agreement between body mass index (BMI) and waist-to-height Ratio (WHtR) to identify preschool and school children with cardiovascular risk factors (CRFs). Methods: Three-hundred-twenty-one kids were divided into preschool (3-5 years) and school children (6-10 years). BMI was used to classify children as overweight or obese. Abdominal obesity was defined with a WHtR ≥0.50. Fasting blood lipids, glucose and insulin were measured, and the homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. The presence of CRFs and multiple non-waist circumference (non-WC) metabolic syndrome factors (MetS-Factors) [high HOMA-IR, high triglycerides and low high-density lipoprotein cholesterol (HDL-C)] were analyzed. Results: One-hundred-twelve preschool and 209 school children were evaluated. WHtR ≥0.50 classified abdominal obesity in more than half of the preschool children, exceeding those classified with overweight+obesity by BMI (59.5% vs. 9.8%; p0.05). There were similar proportions of school children classified with abdominal obesity by the WHtR and overweight+obesity by the BMI (18.7% vs. 24.9%; p>0.05). There was substantial agreement between WHtR and BMI to identify school children with high total cholesterol values, low-density lipoprotein cholesterol (LDL-C), triglycerides, non-HDL-C, insulin, HOMA-IR, low HDL-C values, and the presence of multiple non-WC MetS-Factors (kappa: 0.616 to 0.857, p<0.001). Conclusion: In preschool children WHtR ≥0.5 disagree with BMI results, but in school kids, it has good agreement with the BMI to classify the children´s nutritional status and to identify those with CRFs.
Objetivo: Analizar el grado de acuerdo entre el índice de masa corporal (IMC) y la relación/cintura estatura (rCE) para identificar niños con factores de riesgo cardiovascular (FRC). Métodos: Estudio transversal analítico con 112 niños preescolares (3-5 años) y 209 escolares (6-10 años). El sobrepeso y la obesidad se clasificaron con el IMC y la obesidad abdominal con la rCE ≥0.50. Se tomaron muestras sanguíneas en ayuno para análisis de glucosa, insulina, lípidos y cálculo del índice HOMA-IR. Se analizó la presencia de FRC y de múltiples factores del síndrome metabólico (Factores-SinMet) diferentes a la cintura [HOMA-IR elevado, triglicéridos elevados y colesterol de alta densidad (HDL-C) bajo]. Resultados: rCE ≥0.50 clasificó con obesidad abdominal a más de la mitad de los niños preescolares, excediendo el número de niños clasificados con sobrepeso+obesidad por IMC (59.5% vs 9.8%; p0.05). Fueron similares las proporciones de niños escolares clasificados con obesidad abdominal por la rCE o con sobrepeso+obesidad por el IMC (18.7% vs. 24.9%; p>0.05). Hubo acuerdo sustancial entre la rCE y el IMC para identificar niños escolares con valores elevados de colesterol total, colesterol de baja densidad, triglicéridos, colesterol no-HDL, insulina, HOMA-IR, valores bajos de HDL-C y la presencia de múltiples Factores-SinMet diferentes a la cintura (kappa: 0.616 a 0.857, p<0.001). Conclusión: En niños preescolares la aplicación de rCE ≥0.5 no presenta acuerdo con el IMC, pero en escolares presenta un acuerdo sustancial con el IMC en la clasificación del estado nutricional y en la identificación de niños con FRC.
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A obesidade constatada como um problema de saúde pública está relacionada ao maior risco por doenças cardiovasculares, hipertensão arterial, resistência à insulina, diabetes tipo II, dislipidemia e síndrome metabólica. Aliados ao estilo de vida sedentário e a uma dieta inadequada, elevados índices de massa corporal circunferência cintura e relação cintura e estatura foram constatados. O objetivo desse trabalho foi caracterizar o quadro de Síndrome Metabólica, em adultos (mulheres 89 e 46 homens) pelos índices antropométricos, dados bioquímicos e a adequação da dieta. Trata-se de um estudo epidemiológico descritivo realizado com 135 servidores não docentes, categoria funcional básico, técnico e superior, de uma universidade pública no Estado de São Paulo. Foram coletados dados sóciodemográficos, inquérito alimentar, de peso, estatura, circunferência da cintura, medidas de pressão arterial e exames bioquímicos: glicemia, triglicérides e HDL-c (High-density lipoprotein-c). Resultados: 36 % dos participantes apresentou sobrepeso e 28% obesidade e 62,0% da amostra apresentou algum dos parâmetros bioquímicos alterados. O percentual de Síndrome Metabólica foi de 13,3% nos homens e 19,2% nas mulheres. Na relação cintura estatura, 81 % apresentaram índices no padrão de risco de doenças cardiovasculares ou metabólicas, a dieta inadequada nos três macronutrientes foi constatada nos participantes em 34,9% com Indice de massa corporal alterado e 37,0% com Circunferência da cintura alterado. Os resultados mostraram que a caracterização da síndrome metabólica com os parâmetros avaliados aliados à análise da dieta estabelece um quadro com informações que direcionam ações para programas até mesmo dentro de Instituições universitárias e ligadas a área da Saúde.
Obesity, recognized as a public health issue, is associated with an increased risk of cardiovascular diseases, high blood pressure, insulin resistance, type II diabetes, dyslipidemia, and metabolic syndrome. Coupled with a sedentary lifestyle and inadequate diet, elevated body mass index, waist circumference, and waist-to-height ratio have been observed. This study aimed to characterize the Metabolic Syndrome profile in adults (89 women and 46 men) using anthropometric indices, biochemical data, and dietary adequacy. This descriptive epidemiological study was conducted with 135 non-teaching staff members, including basic, technical, and higher categories, at a public university in Sao Paulo. Sociodemographic data, dietary surveys, weight, height, waist circumference, blood pressure measurements, and biochemical tests (glucose, triglycerides, and High-density lipoprotein-c) were collected. Results: 36% of participants were overweight, 28% were obese, with 62.0% of the sample showing altered biochemical parameters. The prevalence of Metabolic Syndrome was 13.3% in men and 19.2% in women. In the waist-to-height ratio, 81% had cardiovascular or metabolic disease risk range indices. An inadequate diet across all three macronutrients was observed in 34.9% of participants with altered body mass index and 37.0% with altered waist circumference. The results revealed that characterizing metabolic syndrome with the evaluated parameters and dietary analysis provides insights that guide actions for programs, even within university institutions and those connected to the health field.
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Objetivo: Este estudo visou avaliar o desempenho da razão cintura-estatura (RCE) como indicador complementar do estado nutricional na primeira fase da adolescência. Métodos: Trata-se de estudo transversal com 148 adolescentes (10 a 13 anos de idade) de duas escolas de Macaé, RJ, realizado em 2016/2017. Foram coletadas informações de maturação sexual, peso, estatura e perímetro da cintura (PC). Para verificar como as classificações do índice de massa corporal-para-idade (IMC/I), PC e RCE dialogam em termos de triagem de risco em saúde, foi feito o teste Kappa. Os limites máximos de sensibilidade e especificidade da RCE segundo o IMC/I foram analisados pela curva ROC (Receiver Operating Characteristics). Resultados: Dentre os avaliados, 51,4% eram meninas e mais de 60% encontravam-se nos dois primeiros estágios de maturação sexual. A prevalência de excesso de peso (sobrepeso+obesidade) foi 31,8%, obesidade 17,6% e RCE elevada 20,3%, sem diferença segundo sexo e maturação sexual. A RCE apresentou boa concordância com excesso de peso (Kappa=0,707) e obesidade (Kappa=0,780). Já a concordância entre IMC/I e PC foi pobre. O valor de 0,45 da RCE foi o ponto de corte mais adequado para identificar os adolescentes com excesso de peso. Conclusões: Este trabalho sugere que a RCE apresenta melhor desempenho que o PC como indicador complementar do estado nutricional no início da adolescência. A RCE agrega informação sobre a gordura central ponderada pela estatura, não requer curva de comparação e apresenta ponto de corte, o que facilita ações de triagem nos serviços de saúde e em estudos epidemiológicos.
Objective: This study evaluated the performance of the Waist-to-Height Ratio (WHR) as an additional indicator of nutritional status in the first phase of adolescence. Methods: This is a cross-sectional study, developed in 2016/2017, with 148 adolescents (10 to 13 years old) from two public schools of Macaé, a municipality in Rio de Janeiro, Southeast Brazil. We collected information on sexual maturation, weight, height, and waist circumference (WC). The Kappa Test was performed to verify the accordance among Body Mass Index-for-Age (BMI/A), WC, and WHR in relation to health risk screening. The maximum limits of sensitivity and specificity of WHR according to BMI/A were analyzed by ROC curve (Receiver Operating Characteristics). Results: Among the participants, 51.4% were girls, and more than 60% were in the first two stages of sexual maturation. The prevalence of excess weight (overweight+obesity) was 31.8%, obesity 17.6%, and high WHR 20.3%, with no difference according to sex and sexual maturation. WHR showed good agreement with excess weight (Kappa=0.707) and obesity (Kappa=0.780). The agreement between BMI/A and WC was poor. The value 0.45 was the most appropriate WHR cutoff point to identify adolescents with excess weight. Conclusions: This study suggests that WHR performs better than WC as an additional indicator of nutritional status in early adolescence. WHR brings information on central adiposity weighted by height, does not require a comparison curve, and has a cutoff point, which may facilitate screening in health services and epidemiological studies.
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Humanos , Masculino , Femenino , Niño , Adolescente , Evaluación Nutricional , Estado Nutricional , Nutrición del Adolescente , Relación Cintura-Estatura , Estudiantes , Brasil , Antropometría , Sobrepeso , ObesidadRESUMEN
Background: Central Obesity (CO) might arise among individuals with normal body mass index (BMI). We aim to estimate the prevalence of Normal Weight CO (NWCO), using different definitions, and to compare its association with cardiometabolic risk factors in the adult population of Panama. Methods: Data from two population-based studies conducted in Panama in 2010 and 2019 were used. Using standard definitions, normal weight was defined as a BMI between 18·5 and 24·9 while CO was defined as a Waist-to-Height Ratio (WHtR) ≥ 0·5 in both sexes or a Waist Circumference (WC) ≥ 90, ≥94, or ≥102 cm for men, and 80 or 88 cm for women. Unconditional logistic regression models were used to estimate the association between each CO definition and dyslipidemia, high blood pressure (HBP), diabetes, and clusters of cardiovascular risk factors. Findings: Recent CO prevalence ranged between 3·9% (WC ≥ 102 cm for men and WC ≥ 88 cm for women) and 43·9% (WHtR ≥ 0·5) among individuals classify as normal weigh according to the BMI. Different cardiovascular risk factors were present in this normal weight population but among men the threshold of WC ≥ 102 cm screened less than 1·0%. Interpretation: NWCO was associated with cardiovascular risk factors, particularly with elevated concentration of triglycerides. CO evaluation at the primary health care level may be a useful technique to identify normal weight people with metabolically obese characteristics. Funding: Gorgas Memorial Institute for Health studies via Ministry of Economy and Finance of Panama and Inter-American Development Bank.
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A total of 590 older adults of Amerindian ancestry living in rural Ecuador received anthropometric measurements and a brain magnetic resonance imaging to estimate the total cerebral small vessel disease (cSVD) score. A fully adjusted ordinal logistic regression model, with categories of the total cSVD score as the dependent variable, disclosed significant associations between the waist circumference, the waist-to-hip, and the waist-to-height ratios - but not the body mass index (BMI) - and the cSVD burden. Indices of abdominal obesity may better correlate with severity of cSVD than the BMI in Amerindians. Phenotypic characteristics of this population may account for these results.
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Enfermedades de los Pequeños Vasos Cerebrales , Anciano , Antropometría/métodos , Índice de Masa Corporal , Enfermedades de los Pequeños Vasos Cerebrales/diagnóstico por imagen , Humanos , Factores de Riesgo , Circunferencia de la CinturaRESUMEN
RESUMEN Los objetivos de este estudio fueron determinar y comparar el riesgo cardiovascular (RCV) en estudiantes de la carrera de preparador físico de las generaciones 2017 y 2019. Las variables medidas fueron peso corporal (PC), estatura (ES), circunferencia de cintura (CC), índice de masa corporal (IMC) e índice de cintura/estatura (ICE). Se utilizó al CC e ICE para la determinación del RCV y su posterior comparación. La metodología utilizada corresponde a un estudio cuantitativo, transversal, descriptivo: con una muestra de 324 participantes (año 2019 = 98 hombres y 62 mujeres; año 2017 = 103 hombres y 61 mujeres). Se utilizó una báscula mecánica con estadímetro marca DETECTO (para PC y ES) y una cintra métrica antropométrica SECA (para CC). Para las diferencias estadísticas se utilizó la prueba de ANOVA de dos vías y comparaciones múltiples de Sidak, se consideró el índice de D Cohen para el tamaño de efecto, con un alfa de 0.05), ni tampoco se clasifican como grupo de riesgo. Se concluye que las mujeres estudiantes tienen características antropométricas diferentes entre ambos años y que la generación del año 2019 presenta RCV.
ABSTRACT The aims of this study were to determine and compare the cardiovascular risk (CVR) in students of the physical trainer career of the 2017 and 2019 generations. The variables measured were body weight (BW), height (HE), waist circumference (WC), body mass index (BMI) and waist to height ratio (WHtR). The WC and WHtR were used to determine the CVR and its subsequent comparison. The methodology used corresponds to a quantitative, cross-sectional, descriptive study: with a sample of 324 participants (year 2017 = 103 men and 61 women; year 2019 = 98 men and 62 women). A mechanical scale with a DETECTO brand stadiometer (for BW and HE) and a SECA anthropometric tape measure (for WC) were used. Sidak's two-way ANOVA test and multiple comparisons were used for statistical differences, the Cohen D index for effect size was considered, with an alpha of 0.05), nor are they classified as a risk group. It is concluded that female students have different anthropometric characteristics between both years and that the generation of 2019 presents CVR.
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Humanos , Masculino , Femenino , Educación y Entrenamiento Físico , Universidades , Factores de Riesgo de Enfermedad Cardiaca , Índice de Masa Corporal , Chile , Circunferencia de la CinturaRESUMEN
A aptidão física e parâmetros antropométricos têm sido associados ao aproveitamento acadêmico e melhoria da função cognitiva. Neste sentido, o objetivo do presente estudo foi de associar a função executiva, antropometria e aptidão física de escolares com idades entre 11 e 15 anos. Para tanto, 179 estudantes (85 meninas e 94 meninos) (13,18 ± 1,26 anos; 49,73 ± 12,30 kg; 159,21 ± 9,40 cm; 19,46 ± 3,79 kg/m²) foram submetidos a mensurações antropométricas (massa corporal, estatura e circunferência da cintura, com posterior cálculo de índice de massa corporal e relação cintura-estatura), realizaram dois testes cognitivos (Teste de Stroop e Teste de Trilhas) e realizaram uma bateria de testes físicos (PROESP-BR). Os dados foram analisados no SPSS versão 22.0 por meio de estatística descritiva e Correlação de Spearman. O nível de significância adotado foi de p<0,05. Os resultados indicaram que a maior parte dos escolares apresentou baixo desempenho nos testes de aptidão física. Nenhuma associação significativa foi encontrada entre as variáveis antropométricas e o tempo para completar os testes cognitivos. Por outro lado, correlações significativas negativas foram observadas na associação entre os testes de aptidão física e os testes cognitivos, indicando que participantes com melhor aptidão física necessitam de menos tempo para completar os testes cognitivos. Conclui-se que escolares com idades entre 11 e 15 anos apresentam baixa aptidão física. Ademais, foram observadas correlações negativas significativas entre a aptidão física e o tempo para completar os testes cognitivos.
Physical fitness and body composition parameters have been associated with academic performance and improved cognitive function. Thus, the aim of the present study was to associate executive function, anthropometry and physical fitness of students aged 11 to 15 years. In order to do so, 179 participants (85 girls and 94 boys) (13.18 ± 1.26 years; 49.76 ± 12.30 kg; 159.21 ± 9.40 cm; 19.46 ± 3.79 kg/m²) underwent anthropometric measurements (body mass, stature and waist circumference. Body mass index and waist-to-height ratio were also calculated), performed two cognitive tests (Stroop test and Trail making test) and performed physical fitness tests (PROESP-BR). Data were analyzed using descriptive statistics and Spearman's Correlation. The level of significance adopted was p<0.05. Results showed that the majority of the participants presented a weak performance in the physical fitness tests. No statistically significant associations were found between anthropometric indicators and time to complete the cognitive tests. However, significantly negative correlations occurred when associating the physical tests with the cognitive tests, indicating that students with better physical fitness need less time to complete the cognitive tests. School students aged 11 to 15 years presented low physical fitness. Moreover, negatively statistically significant correlations were found between the physical fitness tests and time to complete the cognitive tests.
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Humanos , Niño , Adolescente , Niño , Antropometría , Adolescente , Prueba de Esfuerzo , Test de StroopRESUMEN
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. In women, the frequency of OSA increases substantially during and after the menopause, as does the prevalence of obesity in this reproductive life stage. This cross-sectional study uses data from the Sao Paulo Epidemiologic Sleep Study (EPISONO, 2007), and comprises a sample of 500 women aged 20-80 years. Multiple logistic regression analysis was used to assess the factors associated with OSA in premenopausal and postmenopausal women. All participants underwent polysomnography, and obesity was assessed using the waist-to-height ratio (WHtR), body mass index, neck and waist circumference, measured using standard methods. WHtR was the factor most associated with a significant increase in risk of OSA in premenopausal women. Waist circumference was the factor most associated with OSA in postmenopausal women, for all severities of the disease. Anthropometric factors presented a high rate of accuracy in the classification of women with OSA. The study found that different obesity-related anthropometric measures should be considered in the diagnosis of OSA, according to the woman's reproductive stage.
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Apnea Obstructiva del Sueño , Índice de Masa Corporal , Brasil/epidemiología , Estudios Transversales , Femenino , Humanos , Polisomnografía , Factores de Riesgo , Apnea Obstructiva del Sueño/epidemiología , Circunferencia de la CinturaRESUMEN
BACKGROUND: There is a lack of clarity as to which obesity parameters may be more important in the association between cardiorespiratory fitness (CRF) and cardiometabolic risk factors (CMRF). AIM: To verify the mediating role of different obesity parameters on the association between CRF and CMRF in normal weight and overweight/obese children and adolescents. METHODS: This cross-sectional study comprised 999 children and adolescents (534 boys) aged 7-14 years from the south of Brazil. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and percentage of body fat were assessed. Participants were classified as normal weight, overweight and obese according to BMI. CRF was evaluated by the 6-minute run/walk test. . A continuous CMRF score was calculated by summing the Z-scores of the following variables: systolic and diastolic blood pressure, glucose, total cholesterol, high-density lipoprotein cholesterol and triglycerides. Data analysis was performed using partial correlation and linear regression models. RESULTS: BMI, WC, WHtR and percentage of body fat mediated the relationship between CRF and CMRF in overweight/obese boys and girls but not those of normal weight. Additionally, the percentage of the influence of each obesity parameter was 20% for BMI and WC, 16% for percentage of body fat and 18% for WHtR in girls. For boys, the mediation effect was 25% for BMI, 26% for WC, 28% for percentage of body fat and 25% for WHtR. CONCLUSION: Adiposity plays a central role in CMRF; therefore, maintaining an adequate weight status should be an important objective of health-promoting programmes in early age.Abbreviations: CMRF, cardiometabolic risk factors; CRF, cardiorespiratory fitness; BMI. body mass index; HDL-c, high-density lipoprotein cholesterol, PROCESS PROESP-Br, Projeto Esporte Brasil; SPSS, Package for Social Sciences; TC, total cholesterol; TG, triglycerides; WC, waist circumference; WHtR, waist-to-height ratio; %BF, percentage of body fat.
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Capacidad Cardiovascular , Enfermedades Cardiovasculares , Obesidad Infantil , Adolescente , Índice de Masa Corporal , Brasil/epidemiología , Factores de Riesgo Cardiometabólico , Enfermedades Cardiovasculares/epidemiología , Niño , Estudios Transversales , Femenino , Humanos , Masculino , Factores de RiesgoRESUMEN
ABSTRACT Objective: To identify the prevalence of overweight in adolescents according to different classification criteria for obesity and somatic maturation stages. Methods: Cross-sectional study in 10 schools in a city from Southern Brazil, with 1715 adolescents. Height, weight, waist circumference, and neck circumference (NC) data were collected. Body Mass Index was classified according to World Health Organization (WHO) and Centers for Disease Control and Prevention criteria, and the waist-to-height ratio (WHtR) was classified according to Brazilian and European cut-off points. Somatic maturation was obtained through the Peak Height Velocity. The prevalence data were compared between sex and stages of somatic maturation; the concordance between different criteria was verified. Results: The prevalence of overweight was high in both sexes; WHO criteria showed that 34.5% of boys and 29.3% of girls were overweight. For the WHtR, the prevalence was 28.4% in boys and 23.7% in girls. NC classified 13.8% of boys and 15.8% of girls as being overweight. The prevalence of overweight was higher in adolescents before complete somatic maturation. Conclusions: The prevalence of overweight was high among adolescents. The boys presented higher frequency of overweight, except if NC was used to classify them. Adolescents before somatic maturation had a higher prevalence of overweight. NC showed a lower ability to track obese adolescents.
RESUMO Objetivo: Identificar a prevalência de excesso de peso em adolescentes de acordo com diferentes critérios de classificação de obesidade e estágios de maturação somática. Métodos: Estudo transversal em dez escolas de um município da região Sul do Brasil, com 1.715 adolescentes. Dados de estatura, peso, circunferência da cintura e circunferência do pescoço (CP) foram coletados. O índice de massa corpórea (IMC) foi classificado com os critérios da Organização Mundial da Saúde (OMS) e do Centers for Disease Control and Prevention, e a razão cintura-estatura (RCE) foi classificada de acordo com pontos de corte brasileiros e europeus. A maturação somática foi obtida por meio do pico de velocidade do crescimento (PVC). Os dados de prevalência foram comparados entre os sexos e os estágios maturacionais; verificou-se a concordância entre os diferentes critérios. Resultados: A prevalência do excesso de peso foi elevada em ambos os sexos. Com o critério da OMS, a prevalência foi de 34,5% nos meninos e 29,3% nas meninas. Para a RCE, a prevalência foi de 28,4% nos meninos e 23,7% nas meninas. A CP rastreou 13,8% de excesso de peso nos meninos e 15,8% nas meninas. A prevalência de excesso de peso foi mais elevada em adolescentes antes da maturação somática completa. Conclusões: A prevalência do excesso de peso foi elevada entre os adolescentes. Os meninos apresentaram maior percentual de excesso de peso, exceto na variável CP. Adolescentes antes da maturação somática apresentaram maior prevalência de sobrepeso. A CP tem menor capacidade de rastrear adolescentes obesos.
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Humanos , Masculino , Femenino , Adolescente , Obesidad Infantil/epidemiología , Estudiantes/estadística & datos numéricos , Brasil/epidemiología , Prevalencia , Estudios Transversales , Distribución por Sexo , Circunferencia de la Cintura , Relación Cintura-Estatura , Dieta Occidental/efectos adversosRESUMEN
BACKGROUND AND AIMS: To compare the performance of waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), waist circumference (WC) and Body-mass index (BMI) with subclinical atherosclerosis. METHODS AND RESULTS: The association of quintiles of anthropometric variables (1st as reference) - Odds ratio (OR); 95% Confidence Interval (95% CI) - with Coronary Artery Calcium (CAC: 0 vs. >0; <100 vs. ≥100), Carotid Intima-Media Thickness (CIMT: <75th vs. ≥P75%) and as continuous variables in linear regression models in 4216 participants of ELSA-Brasil baseline. WHtR was associated with CAC >0 (OR, 1.84; 95% CI, 1.16-2.93) and ≥100 after multivariate adjustment including BMI. WHR was associated with CAC >0 OR, 1.81 (95% CI, 1.25-2.82) and ≥100. BMI was not associated with CAC after further adjustment for WHtR, but was associated with CAC >0 after adjustment for WHR (OR, 1.42; 95% CI, 1.02-1.94) or WC (1.63; 95% CI, 1.03-2.59). WHtR was not associated with CIMT after further adjustment for BMI. WHR was associated with CIMT ≥P75% (OR, 1.44; 95% CI, 1.02-2.02) and in linear models (p < 0.0001). WC was associated with CIMT in linear models (p < 0.0001). BMI was associated to CIMT ≥P75% (OR, 2.25; 95% CI, 1.53-2.54); and in linear models (P < 0.0001) after further adjustment for WHtR. After adjustment for WHR and WC the association of BMI with CIMT ≥P75% was respectively (OR 2.31; 95% CI, 1.70-3.13; and OR 2.39; 95% CI, 1.55-3.70); and in both linear models (p < 0.0001). CONCLUSIONS: WHtR was a good biomarker for subclinical atherosclerosis measured by CAC while BMI was a good biomarker for CIMT. WHR presented the best performance being associated with both biomarkers of subclinical atherosclerosis.
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Índice de Masa Corporal , Enfermedades de las Arterias Carótidas/epidemiología , Enfermedad de la Arteria Coronaria/epidemiología , Calcificación Vascular/epidemiología , Relación Cintura-Estatura , Relación Cintura-Cadera , Adulto , Anciano , Enfermedades Asintomáticas , Brasil/epidemiología , Enfermedades de las Arterias Carótidas/diagnóstico por imagen , Grosor Intima-Media Carotídeo , Angiografía Coronaria , Enfermedad de la Arteria Coronaria/diagnóstico por imagen , Estudios Transversales , Femenino , Factores de Riesgo de Enfermedad Cardiaca , Humanos , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Prevalencia , Medición de Riesgo , Calcificación Vascular/diagnóstico por imagenRESUMEN
INTRODUCTION AND OBJECTIVES: Obesity and metabolic syndrome (MS) continue to be a problem at a socioeconomic level, causing high morbidity and mortality in the adult population. Prevention of risk factors should be carried out from an early age. Currently, there is no consensus on the opportune moment to start an intervention or treatment, regarding metabolic syndrome. The objective of the study is to describe the phenotype to predict early diagnosis of metabolic syndrome in schoolchildren. MATERIAL AND METHODS: Observational, prospective, cross-sectional and analytical study in schoolchildren from 6 to 15 years old, conducted in Guayaquil. Anthropometric measurements and a survey were performed, obtaining signing informed consent. The IBM Watson artificial intelligence (AI) platform with its software Modeler Flow, were used for the analysis. RESULTS: A population of 1025 students between 6 and 15 years old (mean of 12 years for men and 13 years for women) was examined, of whom 62.3% were men and 37.7% women. 23.9% of the population was overweight and 14% obese. A greater tendency to weight alteration was observed in men than in women (51.37% vs 47.79%), and a lower waist circumference in men (85 cm vs 87 cm, respectively). Males had a higher level of systolic blood pressure (SBP), being within the 90th percentile (mean SBP of 123 mmHg) 61.2%, compared to 38.8% of women, with a p < 0.001. Sedentary lifestyle is similar in both groups, with an average of 4.79 hours in front of the screen and/or video games. A statistically significant correlation was demonstrated between SBP and the waist/height ratio (WHtR) in the 90th percentile and 95th percentile (X2 9.075, p < 0.028, and X2 23,54, p < 0,000 respectively), as well as a relationship between 95th percentile and sex (X2 11.57, p < 0.001). The Modeler Flow software showed us that if WHtR, > 0.46, weight > 56.1 kg and height > 1.61 m, the probability of presenting metabolic syndrome, was of 82.4%. The statistic of this study has a predictive accuracy of 90% (error deviation of 0.009). The importance in the predictors of metabolic syndrome, range from 97.57% to 100%. CONCLUSIONS: A prevalence of 33.9% of metabolic syndrome was observed in schoolchildren from 6 to 15 years old, with pathological cut-off points of: WHtR > 0.46, weight > 56.1 kg, pure sedentary lifestyle > 3 hours in front of the screen/playing video games, and SBP within the 90th percentile (> 123 mmHg). With these four indicators, we can predict a probability of early diagnosis of metabolic syndrome of 97% to 100%.
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Síndrome Metabólico/epidemiología , Obesidad Infantil/epidemiología , Conducta Sedentaria , Adolescente , Antropometría , Inteligencia Artificial , Niño , Estudios Transversales , Diagnóstico Precoz , Ecuador , Femenino , Humanos , Masculino , Síndrome Metabólico/diagnóstico , Fenotipo , Estudios Prospectivos , Factores de Riesgo , Encuestas y CuestionariosRESUMEN
Objetivo: Determinar la relación entre el índice cintura-talla y la presencia de cistitis no complicada en los pacientes de consulta externa en un centro de atención primaria de Lima en el año 2018. Métodos: Se realizó un diseño observacional analítico, tipo casos y controles. Con una muestra de 131 casos y 131 controles, por muestreo aleatorio simple, sometidos a criterios de selección. Se revisó historias clínicas para la obtención retrospectiva de los datos. Se calculó el Odds Ratio como medida de asociación. Resultados: La media del índice cintura talla para cistitis no complicada fue de 61,91 ± 6.39 para los casos y 58.12 ± 3.87 para los controles. Se encontró asociación estadísticamente significativa entre la presencia de cistitis y el índice- cintura talla (OR 5,27; IC95% 3,10 8,95; p <0,001). Asimismo, se encontró asociación con el perímetro abdominal (OR 2,11 IC 95% 1,26 3,55; p=0,005) e IMC (OR 2,02; IC95% 1,20 3,37; p=0,007). Conclusión: El índice cintura talla tuvo una fuerte asociación con la presencia de cistitis no complicada. Se sugieren estudios prospectivos para corroborar la asociación entre marcadores de obesidad visceral y el desarrollo de infección de tracto urinario.
Objective: The aim of this study was to determine the association between waist to height ratio and uncomplicated cystitis in a primary health care center in Lima, during the year 2018. Methods: We conducted an observational, analytical, case-control study, in which a total of 131 cases and 131 controls were obtained by simple random sample, applying exclusion and inclusion criteria. Retrospective recollection of the data was performed using the medical record of each selected patient. Odds ratio was calculated to measure the strength of association. Results: the waist to height ratio mean for uncomplicated cystitis was 61,9 ± 6.39 and 58.12 ± 3.87 for the controls. We found an statistical significant association between uncomplicated cystitis and waist to height ratio (OR 5,27; 95%CI 3,10 8,95; p <0,001). Waist circumference (OR 2,11 95%CI;1,26 3,55; p=0,005) and body mass index (OR 2,02; 95%CI 1,20 3,37; p=0,007) were also associated. Conclusion: we found a strong association between waist to height ratio and uncomplicated cystitis, prospective studies are suggested to confirm the association between visceral obesity and the appearance of urinary tract infections
RESUMEN
Rapid development in Latin America has been accompanied by lifestyle shifts, including changes in time use and social environments. Overweight/obesity has also emerged as a public health challenge. We examined whether lifestyle changes and sexual maturity-related indicators (early pubertal development and having a child) predict increases in adiposity among Peruvian youth. Using longitudinal data from Young Lives, we examined changes in adiposity between ages 8 and 15 years old for the younger cohort and ages 15 and 22 years old for the older cohort. Boys and girls in both cohorts demonstrated substantial increases in age-adjusted adiposity measures, but predictors were different for boys versus girls. For boys, increases in time spent in work and domestic chores predicted increases in adiposity body mass index and BMI-for-age Z-score and increases in time spent sleeping were associated with decreases in adiposity (waist circumference and waist-to-height ratio). For girls, sexual maturity-related indicators (early menarche and childbearing) predicted increases in adiposity, regardless of time use. Potential mechanisms for these results may include diet, physical activity, wealth, and urban-rural residence. Time use among youth was associated with diet quality and physical activity, but in different ways for boys versus girls. Strategies for dealing with rising overweight and obesity should incorporate sex-based specificities.
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Adiposidad/fisiología , Índice de Masa Corporal , Dieta , Ejercicio Físico/fisiología , Obesidad/etiología , Sobrepeso/etiología , Adolescente , Niño , Femenino , Humanos , Estudios Longitudinales , Masculino , Obesidad/fisiopatología , Sobrepeso/fisiopatología , Perú , Salud Pública , Factores de Riesgo , Factores Sexuales , Circunferencia de la Cintura/fisiología , Adulto JovenRESUMEN
Little evidence exists regarding the association between waist-to-height ratio (WHtR) and cardiovascular risk (CVR) factors in Mexican adults. Our study pursued a twofold objective: To describe the association between a high WHtR and CVR indicators among Mexican adults canvassed by the 2016 Half-Way National Health and Nutrition Survey, and to examine the interaction of sex and age on this association. We analyzed data from the adult sample (≥20 years old) and classified in two groups using WHtRs ≥0.5 considered high and low otherwise. The following CVR factors were analyzed: High-total-cholesterol (≥200 mg/dL), low high-density-lipoprotein-cholesterol (HDL-c < 40 mg/dL), high low-density-lipoprotein-cholesterol (LDL-c ≥ 130 mg/dL), high triglycerides (≥150 mg/dL), insulin resistance (IR) (HOMA-IR) (≥2.6), and hypertension (HBP) (≥140/≥90 mmHg). We estimated prevalence ratios (PR) to analyze the association between high WHtRs and CVR indicators. Over 90% of participants had high WHtRs and were at greater risk for dyslipidemias, HBP, and IR compared to those that had low WHtRs. PR for men with high WHtRs were between 1.3 to 2.3 for dyslipidemias, 3.4 for HBP and 7.6 for IR; among women were between 1.8 to 2.4 for dyslipidemias and HBP and 5.9 for IR (p < 0.05). A high WHtR is associated with CVR factors in Mexican adults.
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Enfermedades Cardiovasculares/epidemiología , Relación Cintura-Estatura , Adulto , Factores de Edad , Biomarcadores/sangre , Glucemia/análisis , Presión Sanguínea , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/fisiopatología , Estudios Transversales , Dislipidemias/sangre , Dislipidemias/epidemiología , Femenino , Humanos , Hipertensión/epidemiología , Hipertensión/fisiopatología , Resistencia a la Insulina , Lípidos/sangre , Masculino , México/epidemiología , Persona de Mediana Edad , Encuestas Nutricionales , Prevalencia , Medición de Riesgo , Factores de Riesgo , Factores Sexuales , Factores de Tiempo , Adulto JovenRESUMEN
OBJECTIVE: To identify cut-off points for waist circumference (WC), waist-to-height ratio (WHtR) and BMI associated with hypertension in the Brazilian adult and elderly population. DESIGN: Cross-sectional study. The receiver-operating characteristic (ROC) curve was used to determine the cut-off points of WC, WHtR and BMI in the prediction of hypertension. Those who had systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg and those who reported use of antihypertensive medication were considered hypertensive. SETTING: Brazil.ParticipantsParticipants from the National Health Survey, the Brazilian household-based survey conducted in 2013, of both sexes and age ≥20 years. RESULTS: Cut-off points for WC and WHtR increased with age in both sexes. WC cut-off limits ranged between 88·0 and 95·9 cm in men and between 85·0 and 93·2 cm in women. For WHtR, cut-off scores ranged from 0·51 to 0·58 for men and from 0·53 to 0·61 for women. Additionally, the area under the ROC curve (AUC) for all age and sex groups was greater than 0·60 while the lower limit of the AUC 95 % CI for both WC and WHtR was not less than 0·50. The performance of BMI was similar to that of indicators of fat location. CONCLUSIONS: All analysed anthropometric indicators had similar performance in identifying hypertension in the Brazilian population.