ABSTRACT
El objetivo de este estudio fue establecer relaciones entre las variables de rendimiento físico e índices antropométricos según la edad de bomberos adultos chilenos, en servicio activo, provenientes de la región de Valparaíso. Participaron 68 bomberos, hombres, sanos, en servicio activo, que fueron divididos en dos grupos según edad; 30 años (n = 32; 40,6 ± 8,5 años). Se evaluaron las variables antropométricas de masa corporal (MC), estatura, perímetro de cintura (PC), índice de masa corporal (IMC] = Peso /estatura2 [m]) e índice cintura-estatura (ICE). La capacidad de salto vertical fue evaluada con los protocolos de Squat Jump, Countermovement Jump y Abalakov Jump. La resistencia en carrera fue estimada con la prueba de Course Navette y se calculó indirectamente el consumo de oxígeno (VO2). Las variables antropométricas para el grupo > 30 años fueron mayores en comparación al grupo de menor edad en MC (p = 0.027), IMC (p = 0.015), PC (p 0.05) entre ambos grupos. Existió una correlación significativa positiva entre la edad y las variables de MC (r = 0,252), IMC (r = 0,307), ICE (r = 0,431) y PC (r= 0,401). Al comparar ambos grupos de edad hubo diferencias antropométricas, pero no en la condición física. Se sugiere reforzar programas de entrenamiento para optimizar la composición corporal y capacidad física de bomberos en servicio activo para responder a las exigentes tareas que demanda este ámbito laboral.
SUMMARY: The aim of this study was 1) to compare anthropometric characteristics, jumping ability, and running endurance according to age and 2) to determine the relationship between age and physical performance parameters in Chilean adult firefighters in active service from the Valparaíso region. Sixty-eight healthy male firefighters, in active service, were divided into two groups according to age; 30 years (n = 32; 40.6 ± 8.5 years) participated. The anthropometric variables of body mass (BM), height, waist circumference (WC), body mass index (BMI = weight/height2 [m]) and waist-to-height ratio (WHR) were evaluated. Vertical jumping ability was assessed with the Squat Jump, Countermovement Jump and Abalakov Jump protocols. Running endurance was estimated with the Course Navette test and oxygen consumption (VO2) was calculated indirectly. Anthropometric variables for the > 30 years group were higher compared to the younger age group in BM (p = 0.027), BMI (p = 0.015), WC (p 0.05). There was a significant positive correlation between age and the variables of BM (r = 0.252), BMI (r = 0.307), WHR (r = 0.431) y WC (r= 0.401). When comparing both age groups, there were anthropometric differences, but not in physical condition. It is suggested to reinforce training programs to optimize the body composition and physical capacity of firefighters in active service in order to respond to the demanding tasks demanded by this work environment.
Subject(s)
Humans , Male , Adult , Anthropometry , Firefighters , Physical Functional Performance , Oxygen Consumption , Physical Endurance , Running , Body Mass Index , Age Factors , Athletic Performance , Waist Circumference , Waist-Height RatioABSTRACT
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.
Subject(s)
Humans , Male , Female , Child , Adolescent , Nutrition Assessment , Nutritional Status , Adolescent Nutrition , Waist-Height Ratio , Students , Brazil , Anthropometry , Overweight , ObesityABSTRACT
Background Obesity is a well-documented risk factor for cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM), with increasing evidence to suggest visceral adiposity as a greater risk factor for CVD than body mass index (BMI). Objectives To determine a relationship between hypertension (HPT) and anthropometry in people living with diabetes (PLWD) in an HIV endemic area. Methods This was a retrospective study analysing data captured from standardised clinic sheets from the DM clinic at the Harry Gwala Regional Hospital, Pietermaritzburg, South Africa, from January 1, 2019 to December 31, 2019. Results Data from 957 PLWD were used for the study, the majority of whom had T2DM (811; 86.2%). Approximately one-sixth of the cohort had HIV infection (146; 15.3%). There was no significant difference in HPT prevalence between the HIV-uninfected (77.9%) and PLWD who had HIV (PLWDHIV) (78.1%). Multivariate analysis revealed females with increased waist circumference (WC) and waist-to-height ratio (WTHR) were 57.8 (95% CI 3.041096.33) (p = 0.007) and 87.2 (95% CI 4.881558.28) (p = 0.002) times more likely to be hypertensive respectively. By contrast, only BMI in males was associated with HPT with a AOR 5.294 (95% CI 1.54 - 18.22) (p = 0.008). HIV status was non-contributory to anthropometry in predicting HPT in PLWD. Conclusion Our study found that anthropometric indices are not all equal predictors of HPT. The authors advocate for local guidance on gender-specific cut-offs on anthropometry in PLWD.
Subject(s)
Humans , Male , Female , Cardiovascular Diseases , Anthropometry , Diabetes Mellitus , Waist Circumference , Heart Disease Risk Factors , Waist-Height Ratio , HypertensionABSTRACT
Objetivos. Determinar la correlación y concordancia diagnóstica del índice de masa corporal (IMC), con el perímetro abdominal (PA) y el índice cintura-talla (ICT). Materiales y métodos. Se realizó un estudio descriptivo, transversal, de datos secundarios usando las bases de datos antropométricos de la Encuesta Vigilancia Alimentaria y Nutricional por Etapas de Vida Adulto de 18 a 59 años 2017-2018 que incluyó 1084 personas para los dominios geográficos Lima Metropolitana, resto urbano y rural. Se estimaron las prevalencias de obesidad según IMC, PA e ICT y se empleó el coeficiente de correlación de Lin y Kappa de Cohen para determinar la correlación y concordancia entre las tres mediciones antropométricas. Resultados. Según los criterios de IMC, PA e ICT las prevalencias de obesidad fueron de 26,8%, 50,4% y 85,4%, respectivamente; las prevalencias fueron mayores en mujeres y en mayores de 30 años. La correlación entre IMC vs. PA e IMC vs. ICT fue pobre y de PA con ICT fue moderada, con diferencias entre hombres y mujeres. Además, la concordancia entre IMC y PA fue aceptable, mientras que la concordancia entre IMC vs. ICT fue leve. Conclusiones . Los resultados de la correlación y concordancia son limitados y sugieren que no son medidas intercambiables, por lo que es necesario evaluar la suficiencia de emplear solo IMC para el diagnóstico de obesidad en el Perú. Esta limitada correlación y concordancia se refleja en las diferentes proporciones de obesidad que oscilan entre 26,8% a 85,4% al aplicar los tres criterios.
Objective. To determine the correlation and diagnostic agreement of body mass index (BMI) and abdominal perimeter (AP) with the waist-to-height ratio (WHtR). Materials and methods. A descriptive, cross-sectional, secondary data study was conducted using the anthropometric databases of the Food and Nutrition Surveillance Survey by Adult Life Stages from 18 to 59 years old, 2017-2018, which included 1084 individuals for the geographic domains of Metropolitan Lima, other urban areas, and rural regions. The prevalence of obesity was estimated according to BMI, AP and WHtR. Lin's correlation coefficient and Cohen's Kappa were used to determine the correlation and agreement between the three anthropometric measurements. Results. According to the BMI, AP, and WHtR criteria, the prevalence of obesity was 26.8%, 50.4% and 85.4%, respectively; the prevalence was higher in women and in those over 30 years of age. The correlation between BMI and AP, as well as between BMI and WHtR was poor; it was moderate between AP and WHtR, with differences between men and women. Furthermore, the agreement between BMI and AP was acceptable, whereas the agreement between BMI vs. WHtR was mild. Conclusions. The results regarding correlation and agreement are limited and suggest that they are not interchangeable measures, so it is necessary to evaluate the adequacy of using BMI alone for the diagnosis of obesity in Peru. The limited correlation and agreement was reflected in the different proportions of obesity that range from 26.8% to 85.4% when applying the three criteria.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Weights and Measures , Body Mass Index , Waist-Height Ratio , Peru , Food and Nutritional Surveillance , Surveys and Questionnaires , ObesityABSTRACT
Abstract Background: Poor flexibility is a predictor of reduced physical activity. The association between trunk flexibility and cardiovascular risk factors (CVRFs) is not well understood. Objective: To identify the prevalence of CVRFs and their association with trunk flexibility in individuals participating in a community-based health education program. Methods: Volunteers (51 men, 48 women) aged 20-85 years old, participants in a community-based health education program in the city of Santo Antônio de Goiás, Brazil, were selected for this study. Anthropometric measures including body mass, height, body mass index (BMI), waist circumference (WC) and waist/height ratio (WHtR) were evaluated. Physical activity level was evaluated based on leisure activity participation, and trunk flexibility was evaluated by the sit and reach test. Data distribution was assessed using the Shapiro-Wilk test; Pearson's chi-square or Fisher's exact and Student t tests were performed for comparisons. To analyze the association between trunk flexibility and concomitant CVRFs, Spearman's correlation test and linear regression were employed. Statistical significance was defined as p < 0.05. Results: 7.2% of the volunteers had no CVRF, 10.3% had only one CVRF and 82.5% had two or more CVRFs, with no differences between sexes. Increased abdominal adiposity, as assessed by WHtR (p = 0.0097), and systemic arterial hypertension (p = 0.0003) were the most prevalent CVRFs, with differences between age groups. A strong negative correlation was found between mean trunk flexibility and the number of concomitant CVRFs (r = -0.96, p < 0.0028). Conclusion: The strong negative correlation between trunk flexibility and concomitant CVRF indicates an increased risk for cardiovascular events. Therefore, trunk flexibility measurement may be an additional tool for health promotion and prevention of cardiovascular and associated diseases in community health programs.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Pliability , Heart Disease Risk Factors , Cross-Sectional Studies , Muscle Stretching Exercises , Obesity, Abdominal , Torso , Waist-Height RatioABSTRACT
Abstract Background Cardiovascular diseases (CVDs) are the main cause of morbidity and mortality in Brazil. Objective To provide population-based data on prevalence and factors associated with CVD risk factors. Methods Individuals aged ≥20 years from two editions of the cross-sectional Health Survey of São Paulo focusing on Nutrition (ISA-Nutrition), performed in Sao Paulo city in 2008 (n=590) and 2015 (n=610), were evaluated for: obesity, central obesity, waist/height ratio, high blood pressure (HBP), dyslipidemia, diabetes, and number of CVD risk factors ≥3. Prevalence was estimated according to complex survey procedures. Factors associated with cardiovascular risk factors were assessed using logistic regression, with statistical significance of p<0.05. Results Obesity and older age were associated with higher odds of all cardiovascular risk factors investigated, except for dyslipidemia. HBP was positively associated with being Black/Brown and negatively associated with being physicaly active in leisure time. Women were more likely to have increased adiposity indicators and three or more cardiovascular risk factors than men. Those with higher education had lower chances of having diabetes, HBP and dyslipidemia, and those with higher income had higher chances of having three or more risk factors. Former smokers had higher odds of diabetes, obesity, and high waist/height ratio, and smokers had higher odds of high non-HDL cholesterol levels. From 2008 to 2015, there was an increase (p<0.001) in the prevalence of diabetes (6.9% to 17.3%), HBP (31.9% to 41.8%), dyslipidemia (51.3% to 67.6%), and number of CVD risk factors ≥3 (18.9% to 34.1%). Conclusion This study shows increasing prevalence of CVD risk factors in adult population in Sao Paulo and may support the definition of target groups and priority actions on CVD prevention and treatment.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Young Adult , Cardiovascular Diseases/epidemiology , Cardiometabolic Risk Factors , Brazil , Logistic Models , Odds Ratio , Prevalence , Cross-Sectional Studies , Health Surveys , Morbidity , Age Factors , Diabetes Mellitus/epidemiology , Age and Sex Distribution , Dyslipidemias/epidemiology , Waist-Height Ratio , Hypertension/epidemiology , Obesity/epidemiologyABSTRACT
El objetivo es evaluar el IPCC, para proponerlo como indicador de sobrepeso y obesidad. Es un estudio descriptivo, prospectivo, transversal y correlacional, en una muestra de 896niños y adolescentes con edad de 6 y 19 años; 452 (50,4%)del sexo masculino y 444 (49,6%) del sexo femenino. Métodos: Se midieron las variables sexo, edad, peso, talla, IMC, PGC e IPCC; se determinaron promedios, desviación, correlaciones y curva ROC. Resultados: promedios de peso 43,1±14,8 kg; talla 146,2±15,8 cm; IMC 19,6±3,6 kg/m2; CC 66,7±9,3 cm; IPCC 0,64±0,2 y PGC 15,5±7,3. Correlaciones muy buenas entre Talla-Peso (0,87); Peso-IMC (0,84); Peso-IPCC (0,91);Talla-IPCC (0,80) e IMC-IPCC (0,75); porcentajes resultantes de clasificar a niños y adolescentes, según valores del IMC eI PCC, y los tres criterios asumidos como referencias, indican que: Sobrepeso 10,9% (IMC) y 11,6% (IPCC); Obesidad 5,3%(IMC) y 5,8% (IPCC). Para el criterio Media y Desviación, Sobrepeso 4,1% (IMC) y 8,1% (IPCC); Obesidad 0,3% (IMC)y 4,2% (IPCC). Para el criterio Fundacredesa, Sobrepeso 7,2%(IMC) y 8,0% (IPCC); Obesidad 3,3% (IMC) y 3,6% (IPCC).Promedios, por sexo, para las variables peso, talla, IMC, CC eI PCC, no significativos; si los promedios del PGC (p<0,000).Curva ROC se aleja de la diagonal, aunado al hecho que el área bajo la curva es 0,983, refleja la bondad del modelo, complementado con una alta sensibilidad y especificidad, garantizado así un al poder discriminante. Conclusión: Curva ROC del IPCC, con área bajo la curva es 0,983, alta sensibilidad y especificidad, con capacidad discriminante(AU)
The objective is to evaluate the WCWI, to propose it as an indicator of overweight and obesity. It is a descriptive, prospective, cross-cutting and correlational study, in a sample of 896 children and adolescents aged 6 and 19; 452 (50.4%)444 (49.6%) of the female sex. Methods: the variables sex, age, weight, size, BMI, BFP and WCWI were measured; averages, deviation, correlations and ROC curve were determined. Results: weight averages 43.1±14.8 kg; size 146.2±15.8 cm; BMI 19.6±3.6 kg/m2; WC 66.7±9.3 cm; WCWI 0.64±0.2 and BFP 15.5±7.3. Very good correlations between Size-Weight (0.87); Weight-BMI (0.84); WCWI-Weight (0.91);Size-WCWI (0.80) and BMI-WCWI (0.75); percentage Revista Digital de Postgrado, 2021, 10(3), e325, Septiembre-Diciembre, ISSN: 2244-761XPDF generado a partir de XML-JATS4 Rresulting from classifying children and adolescents, accordingto BMI and WCWI values, and the three criteria assumed as references, indicate that: Overweight 10.9% (BMI) and 11.6%(WCWI); Obesity 5.3% (BMI) and 5.8% (WCWI); for the Mean and Deviation criterion, Overweight 4.1% (BMI) and8.1% (WCWI); Obesity 0.3% (BMI) and 4.2% (WCWI).For the Fundacredesa criterion, Overweight 7.2% (BMI) and8.0% (WCWI); Obesity 3.3% (BMI) and 3.6% (WCWI).Averages by sex, for non-significant weight, size, BMI, WC and WCWI variables; BFP averages (p<0.000). ROC curvemoves away from the diagonal, coupled with the fact that thearea under the curve is 0.983, reflects the goodness of themodel, complemented by a high sensitivity and specificity, thusguaranteed a discriminating power. Conclusion: WCWI ROC curve, with are a under the curve is 0.983, high sensibility and specificity, with discriminating capacity(AU)
Subject(s)
Humans , Male , Female , Child , Adolescent , Adult , Body Mass Index , Overweight , Waist-Height Ratio , Obesity , Body Weights and Measures , Anthropometry , ROC Curve , Indicators and ReagentsABSTRACT
Los problemas relacionados con los trastornos metabólicos se han incrementado en la actualidad en población joven. Promover un estilo de vida saludable en estudiantes universitarios puede ayudar a prevenir diabetes, enfermedades cardiovasculares y diferentes tipos de cáncer. Objetivo. Calcular el Índice de Masa Corporal (IMC) de universitarios para identificar la prevalencia de obesidad e hipertensión como factores de riesgo metabólico. Materiales y método. Se utilizó muestreo probabilístico aleatorio simple (n= 282, edad 19,1 ± 1,8, 54,6% mujeres, 48,5% hombres). Se realizaron mediciones de peso y estatura para calcular el IMC, circunferencia de cintura y presión arterial. Resultados. Los resultados promedio para mujeres y hombres respectivamente fueron: IMC 24,0 ±5,5 y 25,2 ±5,2 kg/m2 (p= 0,25); cintura 76,25 ± 11,87 y 82,32 ± 15,85 cm (p= 0,001), indicando un riesgo bajo en 73,1% de mujeres y 82,5% de hombres; y presión arterial 127,73/86,03 y 142,3/94,2 mmHg (p= 0,001). La probabilidad de tener hipertensión arterial fue mayor al tener una relación cintura/estatura (RCE) alterada en mujeres y hombres (OR=3,037; IC95% 1,385-6,657 y OR=3,664; IC95% 1,249-2,179, respectivamente). Conclusiones. La población universitaria presenta factores de riesgo que pueden derivar en enfermedades crónicas no transmisibles en un futuro próximo, por lo cual es necesario modificar sus estilos de vida. La RCE es un buen predictor de riesgo de hipertensión en esta población(AU)
The problems related to metabolic disorders have now increased in the young population. Promoting a healthy lifestyle in college students can help prevent diabetes, cardiovascular disease, and different types of cancer. Objective. To calculate the Body Mass Index (BMI) in college students to identify the prevalence of obesity and hypertension as metabolic risk factors. Materials and methods. Simple random probability sampling was used (n = 282, age 19,1 ± 1,8, 54,6% women, 48,5% men). BMI was calculated with weight and height, waist circumference, and blood pressure. Results. The average results for women and men respectively were: BMI 24,0 ± 5,5 and 25,2 ± 5,2 kg/m2 (p = 0,25); waist 76,25 ± 11,87 and 82,32 ± 15,85 cm (p = 0,001), indicating a low risk in 73,1% of women and 82,5% of men; and blood pressure 127,73 / 86,03 and 142,3 / 94,2 mm Hg (p = 0,001). The probability of having arterial hypertension was higher when there was an altered waist / height ratio (WHR) in women and men (OR = 3,037; 95% CI 1,385-6,657 and OR = 3,664; 95% CI 1,249-2,179, respectively). Conclusions. The university population presents risk factors that could lead to chronic diseases. It is necessary to modify their lifestyles to prevent future diseases. WHR is a good predictor of hypertension risk in this population(AU)
Subject(s)
Humans , Male , Female , Adolescent , Adult , Body Mass Index , Chronic Disease , Waist Circumference , Atrial Pressure , Waist-Height Ratio , Noncommunicable Diseases , Students , Universities , Risk Factors , Pediatric Obesity , Life StyleABSTRACT
El objetivo del estudio fue determinar la asociación de valores de presión arterial (PA) con parámetros de adiposidad y nivel de actividad física (NAF) en escolares y adolescentes en la región de la Araucanía en Chile. Materiales y métodos. Estudio descriptivo, transversal y correlacional que consideró una muestra de 1.125 niños, niñas y adolescentes de 6 a 13 años. Se analizaron parámetros de adiposidad: índice de masa corporal, perímetro de cintura y del brazo, pliegue bicipital, tricipital, subescapular y suprailíaco y porcentaje de masa grasa, PA sistólica (PAS), diastólica (PAD) y NAF. Resultados. 60,4% de la muestra esta normotenso; 23,6% pre HTA y 16,0% HTA, sin asociación significativa entre la PA con el sexo (p>0,05). Se encontró para el total de la muestra una correlación significativa entre la PAS con todos los parámetros de adiposidad estudiados (p<0,001; p<0,050). Para la PAD solo el grupo de 6 a 8 años presentó asociación significativa con todos estos parámetros (p<0,001; p<0,050). El NAF se asoció con la clasificación de la PA. Esta asociación tuvo significancia estadística en el grupo de 6 a 8 años (p<0,05). Conclusiones. Se evidencia una elevada frecuencia de PA alta en escolares de una región de Chile. Se identifican asociaciones significativas entre la PA con algunas medidas de adiposidad corporal y el NAF en la muestra de estudio. Esta información puede ser de gran importancia para la predicción de la hipertensión en la infancia en el contexto de atención primaria en salud(AU)
The objective of the study was to determine the association of blood pressure (BP) values with parameters of adiposity and level of physical activity (NAF) in schoolchildren and adolescents in the Araucanía region of Chile. Materials and methods. Descriptive, cross-sectional and correlational study that considered a sample of 1.125 subjects, boys and girls between 6 and 13 years old. Adiposity parameters were analyzed: body mass index, waist and arm circumference, bicipital, tricipital, subscapular and suprailiac fold and% fat mass. Systolic (SBP) and diastolic (DBP) and NAF were also analyzed. Results. 60.4% of the sample is normotensive; 23.6% preHTA and 16.0% HT, without significant association between BP and sex (p> 0.05). For the entire sample, there is a significant correlation between SBP and all the adiposity parameters studied (p <0.001; p <0.050). For DBP, only the 6 to 8-year-old group presented a significant association with all these parameters (p <0.001; p <0.050). The NAF was associated with the PA classification. This association is statistically significant in the 6 to 8-year-old group (p <0.050). Conclusions. A high frequency of high BP is evidenced in schoolchildren from a region of Chile. Significant associations were identified between BP with some measures of body adiposity and NAF in the study sample. This information can be of great importance for the prediction of hypertension in childhood in the context of primary health care(AU)
Subject(s)
Humans , Male , Female , Child , Adolescent , Cardiovascular Diseases/etiology , Body Mass Index , Arterial Pressure , Pediatric Obesity/complications , Exercise , Anthropometry , Adiposity , Waist-Height RatioABSTRACT
Tradicionalmente se han utilizado algunos índices antropométricos para el diagnóstico de exceso de peso en niños y adolescentes que han mostrado algunas desventajas por lo que se han postulado otros indicadores. En ese sentido, se plantea estimar el nivel de asociación entre indicadores antropométricos y la presencia de dislipidemia en adolescentes y adultos jóvenes. Se realizó una investigación observacional, descriptiva y de corte transversal en 123 adolescentes (68,2% mujeres, edad promedio 14,5 años) y 122 adultos jóvenes (70,5% mujeres, edad promedio 21 años) de la ciudad de Caracas. Se calcularon Índices de Masa Corporal (IMC), Índice CinturaTalla (ICT), Índice de Masa Corporal Abdominal (IMCA) e Índice de Masa Tri-Ponderal (IMT). Se obtuvo una muestra de sangre por punción venosa, en ayuno de 12 a 14 horas, a partir de la cual se cuantificó Colesterol Total, Lipoproteína de alta densidad y Triglicéridos. Se calculó la concentración de Lipoproteína de baja densidad por la fórmula de Friedewald, así como el índice LDL-C/HDL-C y el índice LogTg/HDL. Para el análisis e interpretación de los datos se utilizó estadística descriptiva univariante y multivariante. Los resultados revelaron que los índices antropométricos IMCA e IMT no mostraron mejor desempeño en predecir dislipidemia que los indicadores IMC, Circunferencia de Cintura (CC) e ICT en adolescentes y adultos jóvenes. Los indicadores antropométricos de adiposidad abdominal, CC e ICT, tendieron a presentar mayores OR, ABC, sensibilidad y especificidad independientemente del grupo de estudio. En general, la capacidad de los indicadores antropométricos evaluados en predecir la presencia de dislipidemia en adultos jóvenes fue adecuada, situación que no se presentó en los adolescentes(AU)
Traditionally, some anthropometric indices have been used for the diagnosis of excess weight in children and adolescents, which have shown some disadvantages for which other indicators have been postulated. In this sense, it is proposed to estimate the level of association between anthropometric indicators and the presence of dyslipidemia in adolescents and young adults. An observational, descriptive cross-sectional investigation was carried out in 123 adolescents (68,2% women, media age 14,5 years) and 122 young adults (70,5% women, media age 21 years) from the city of Caracas. Body Mass Indices (BMI), Waist-Height Ratio (WHR), Abdominal Body Mass Index (BMAI) and Tri-Ponderal Mass Index (TMI) were calculated. A blood sample was obtained by venipuncture, fasting for 12 to 14 hours, from which Total Cholesterol, High Density Lipoprotein and Triglycerides were quantified. The low-density lipoprotein concentration was calculated by the FriedEwald formula, as well as the LDL-C / HDL-C index and the LogTg / HDL index. Univariate and multivariate descriptive statistics were used for the analysis and interpretation of the data. The results revealed that the BMI and TMI anthropometric indices did not show better performance in predicting dyslipidemia than the BMI, Waist Circumference (WC) and WHR indicators in adolescents and young adults. The anthropometric indicators of abdominal adiposity, WC and WHR, tended to present higher OR, AUC, sensitivity and specificity regardless of the study group. In general, the capacity of the anthropometric indicators evaluated to predict the presence of dyslipidemia in young adults was adequate, a situation that did not occur in adolescents(AU)
Subject(s)
Humans , Animals , Male , Adolescent , Adult , Dyslipidemias/physiopathology , Waist Circumference , Waist-Height Ratio , Body Mass Index , Anthropometry , Obesity, Abdominal , Pediatric ObesityABSTRACT
Objetivo: comparar la utilidad del índice cintura-talla y el índice de masa corporal para detectar factores de riesgo cardiometabólicos en niños de 5-18 años, atendidos en la consulta externa del Hospital Infantil Regional Universitario Doctor Arturo Grullón en el período octubre-diciembre del año 2016. Método: se realizó un estudio observacional, comparativo, de corte transversal y fuente primaria, con una muestra de 118 pacientes. Se midieron las variables sociodemográficas (edad y sexo), antropométricas (peso, talla, IMC, ICT, PC, TA), y laboratorios (glicemia, ALT, colesterol, triglicéridos, HDL, LDL). Para el análisis cuantitativo se calculó el promedio y la desviación estándar, para el análisis cualitativo se utilizó la prueba estadística chi-cuadrado. Resultados: tanto el ICT como el IMC detectan de manera similar las alteraciones de la presión arterial sistólica (ICT=15.9 %, IMC=15 %), diastólica (ICT=20.4 %, IMC= 21.8 %), obesidad (ICT=69.5 %, IMC=73.7 %), HDL (ICT=6.8 %, IMC=5.6 %). En relación a la evaluación de la obesidad ambos índices arrojaron resultados afines, 69.5 % para ICT y 73.7 % el IMC. En la valoración de los niveles altos de ALT se obtuvieron resultados similares, presentando el ICT un 8.1 % y el IMC un 8.9 %. Conclusión: se demostró que tanto el ICT como el IMC son buenos predictores de factores de riesgos cardiometabólicos.
Objective: To compare the utility of the WSI and BMI in detecting cardiometabolic risks on children between 5-18 years, during external consult in Hospital Infantil Regional Universitario Dr. Arturo Grullón in the period of October-December 2016. Methods: A cross-sectional, primary source, observational design study was conducted with a sample of 118 patients. The variables measured for this study included sociodemographic (age and sex), anthropometric (weight, height, BMI, ICT, PC), and laboratories (glycemia, ALT, cholesterol, triglycerides, HDL, LDL). The quantitative analysis was carried out by calculating the average and the standard deviation. As for the qualitative analysis, the statistical test χ² was used. Results: Both the WSI and the BMI proved to be effective in detecting changes in Systolic (WSI = 15.9%, BMI = 18.4%) and Diastolic Blood Pressure (WSI = 20.4%, BMI = 18.6%), obesity (WSI = 69.5%, BMI = 73.7%), HDL (WSI = 29.3%, BMI = 29.9%). Regarding the detection of obesity, both rates showed similar results, 69.5% for ICT, and 73.7% for BMI. Comparable results were obtained in the assessment of high levels of ALT, with the ICT at 8.1% and the BMI at 8.9%. Conclusions: WSI and BMI are both useful to detect cardiometabolic risk factors.
Subject(s)
Patients , Body Mass Index , Obesity , Child , Adolescent , Dominican Republic , Waist-Height Ratio , Cardiometabolic Risk Factors , Hospitals, PediatricABSTRACT
ABSTRACT Objective: To evaluate the fiber intake and the relationship with cardiovascular risk factors in adolescents with juvenile systemic lupus erythematosus. Methods: This is a cross-sectional in which adolescents with juvenile systemic lupus erythematosus were evaluated. The dietary consumption was assessed by the 24-hour recall; nutritional status was classified according to the Body Mass index/Age by Sex; abdominal obesity was assessed through waist circumference, waist-to-height ratio and glucose and lipid metabolism. The data were analyzed using Statistical Software for Professionals 14 and all statistical analyses used an alpha error of 5%. Results: 52 patients were evaluated, with a mean age of 16.7±1.5 years. Inadequate fiber consumption occurred in 61.5% (n=32) of them. Average of waist circumference measures (81.4 vs. 75.5 cm; p=0.02), waist-to-height ratio (0.51 vs. 0.47; p=0.02) and systolic blood pressure (122.1 vs. 114.8 mmHg; p=0.03) were higher in those who had inadequate fiber intake. Among the cardiovascular risk factors evaluated, the waist/height ratio showed a significant negative correlation with fiber consumption (r=-0.3; p=0.04), that is, the higher the fiber consumption, the lower the value of the waist ratio /stature. Conclusions: Low dietary fiber intake in adolescents with systemic lupus erythematosus juvenile is related to higher abdominal adiposity and consequently with increased cardiovascular risk.
RESUMO Objetivo: Avaliar o consumo de fibras e analisar a sua relação com os fatores de risco cardiovascular em adolescentes portadores de lúpus eritematoso sistêmico juvenil. Métodos: Trata-se de um estudo transversal em que foram avaliados adolescentes com lúpus eritematoso sistêmico juvenil. O consumo alimentar foi avaliado pelo recordatório de 24 horas; o estado nutricional, classificado de acordo com o índice de massa corporal/idade, segundo o sexo; e a obesidade abdominal, analisada por meio da circunferência da cintura e razão cintura/estatura e do metabolismo glicídico e lipídico. Os dados foram analisados no Statistical Software for Professionals 14, e todas as análises estatísticas usaram erro alfa de 5%. Resultados: Foram avaliados 52 pacientes, com média de idade de 16,7±1,5 anos. O consumo inadequado de fibras ocorreu em 61,5% (n=32) dos adolescentes e evidenciou que a média das medidas da circunferência da cintura (81,4 vs. 75,5 cm; p=0,02), a relação cintura/estatura (0,51 vs. 0,47; p=0,02) e a pressão arterial sistólica (122,1 vs. 114,8 mmHg; p=0,03) foram maiores naqueles que tiveram consumo inadequado de fibras. Entre os fatores de risco cardiovascular avaliados, a relação cintura/estatura apresentou correlação negativa significante com consumo de fibras (r=-0,3; p=0,04). Ou seja, quanto maior o consumo de fibras, menor o valor da relação cintura/estatura. Conclusões: A baixa ingestão de fibras da dieta nos adolescentes com lúpus eritematoso sistêmico juvenil está relacionada com maior adiposidade abdominal e, consequentemente, com maior risco cardiovascular.
Subject(s)
Humans , Male , Female , Adolescent , Dietary Fiber/administration & dosage , Heart Disease Risk Factors , Lupus Erythematosus, Systemic/complications , Energy Intake , Body Mass Index , Cross-Sectional Studies , Waist Circumference , Waist-Height Ratio , Obesity/complicationsABSTRACT
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.
Subject(s)
Humans , Male , Female , Adolescent , Pediatric Obesity/epidemiology , Students/statistics & numerical data , Brazil/epidemiology , Prevalence , Cross-Sectional Studies , Sex Distribution , Waist Circumference , Waist-Height Ratio , Diet, Western/adverse effectsABSTRACT
ABSTRACT Objective: Screening for childhood obesity is a necessary step in developing appropriate and effective interventions. We evaluated the diagnostic performance of various recommended international anthropometric cut-offs based on body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), triceps skinfold (TSF), and mid-upper arm circumference (MUAC) in predicting excess adiposity (body fat ≥ 25%) in a random sample of Trinidadian preschoolers. Methods: After obtaining written parental consent, weight, height, WC, TSF, and MUAC were measured in 596 children using standard procedures. These were used to calculate BMI for age, WHtR, TSF-for-age z-scores, and MUAC-for-age z-scores. Percentage body fat was measured using a Tanita-531 foot-to-foot bioelectrical impedance analyser (BIA). Sensitivities, specificities and area under the receiver-operating curve analysis and predictive values were then computed in reference to BIA estimates. Results: The prevalence of excess adiposity was 12.2% and 5.1% among males and females, respectively. Sensitivities for the various cut-offs ranged from 20.0% to 75.0% and 57.1% to 96.9% among males and females, respectively. WHO-BMI recommended cut-offs and those based on MUAC z-scores had significantly higher sensitivities in females than in males. TSF z-scores had significantly lower sensitivities compared to those based on BMI and WHtR among males. Similarly, specificities ranged from 81.3% to 99.9% and 79.8% to 99.9% among males and females, respectively. In girls, cut-offs based on TSF z-scores had a higher likelihood ratio than cut-offs from Centers for Disease Control, International Obesity Task Force and WHtR. Diagnostic performance was not associated with ethnicity. Conclusion: Our results suggest that diagnostic performance was associated with gender and the cut-offs used; however, it was not associated with ethnicity.
Subject(s)
Humans , Male , Female , Child, Preschool , Pediatric Obesity/diagnosis , Skinfold Thickness , Trinidad and Tobago/epidemiology , Mid-Upper Arm Circumference , Body Mass Index , Cross-Sectional Studies , Waist Circumference , Pediatric Obesity/epidemiology , Waist-Height RatioABSTRACT
ABSTRACT Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex. Subjects and methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria. The assessments included waist circumference (WC), waist-to-height ratio (WHtR), conicity index (C index), lipid accumulation product (LAP), visceral adiposity index (VAI), body mass index (BMI), A body shape index (ABSI), area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results: LAP and WHtR resulted in the largest AUC values (>0.80). In both sexes, the best indicators were LAP, WC, and WHtR. Both LAP and WHtR presented the highest Youden's index values in the overall sample, with cutoff values of approximately 46.9 (sensitivity 75.0%, specificity 76.7%) and 0.56 (sensitivity 79.3%, specificity 69.8%), respectively. When analyzed by sex, BMI, WC, WHtR, and LAP yielded the highest Youden's index values for the prediction of MetS in older women. Conclusion: The indicators LAP, WC, and WHtR performed well in identifying the presence of MetS in older women and could be used to individually or collectively assess and monitor MetS.
Subject(s)
Humans , Male , Female , Aged , Metabolic Syndrome/diagnosis , Body Mass Index , Cross-Sectional Studies , ROC Curve , Adiposity , Waist Circumference , Waist-Height RatioABSTRACT
Abstract INTRODUCTION: Neck circumference (NC) and anthropometric data of people living with HIV (PLWH) are correlated. METHODS: Socioeconomic, NC, body mass index (BMI), tricipital skinfold thickness (TSF), mid-arm circumference (MAC), mid-arm muscle circumference (MAMC), waist-hip ratio (WHR), waist-to-height ratio (WHtR), waist circumference (WC), and hip circumference (HC) data of 72 PLWH were correlated. RESULTS Higher adiposity was observed in NC (40.3% [n=29]) and WC (31.9% [n=23]). Correlations between NC/BMI, NC/WC, NC/HC, NC/MAC, NC/MAMC, and NC/WHtR were significant. Increased NC (40.3%[n=29]) and WC (31.9 [n=23]) were associated with higher cardiometabolic risk. CONCLUSIONS: NC correlations are adequate for estimating cardiometabolic risk.
Subject(s)
Humans , HIV Infections/complications , Adiposity , Body Mass Index , Cross-Sectional Studies , Risk Factors , Waist-Hip Ratio , Waist-Height RatioABSTRACT
Introducción: El embarazo es una etapa de riesgo de obesidad persistente después del parto, entre otras causas, es secundario al estado nutricional al inicio del embarazo y a las ganancias de peso por encima de lo recomendado. Objetivo: Describir las ganancias de peso gestacionales por categorías nutricionales y su asociación con la retención de peso al año del parto. Métodos: Se realizó un estudio observacional de corte transversal en 100 mujeres al año del parto, pertenecientes a tres áreas de salud del municipio Santa Clara, en el periodo comprendido de julio 2016 a julio 2017. Se revisaron los tarjetones de las embarazadas para recoger el peso en kg a la captación, su evaluación nutricional según el índice de masa corporal en la primera consulta y el peso al final de la gestación. Las mismas fueron visitadas en su domicilio al año de paridas; se recogieron datos generales, se midió la talla de pie, el peso corporal y la circunferencia de la cintura. Se calcularon los índices de masa corporal y cintura/talla. Resultados: Predominó la condición de peso adecuado a la captación (67,08 por ciento). El 82,87 por ciento de las mujeres retuvo peso al año de paridas; con mayor frecuencia en las obesas (90,0 por ciento) y sobrepeso (83,01 por ciento) según su estado nutricional a la captación. Todas las mujeres tuvieron índice cintura/talla por encima de 0,50 al año de paridas. Conclusiones: Las mujeres con mayores ganancias por encima de lo recomendado, tienen menor capacidad de recuperación del peso corporal al año de paridas(AU)
Introduction: Pregnancy is a period of persistent obesity risk after delivery. Among other causes, it is secondary to the nutritional status at the beginning of pregnancy and to gaining weight above the recommended. Objective: To describe gestational weight gains by nutritional categories and their association with weight retention one year after delivery. Methods: An observational and cross-sectional study was conducted with 100 women one year after delivery and from three health areas of Santa Clara Municipality, in the period from July 2016 to July 2017. Their pregnancy identification cards were reviewed to collect their weight in kilograms at the time pregnancy was identified, nutritional evaluation based on the body mass index at the first office visit, and the weight at the end of pregnancy. They were paid home visits one year after delivery. General data were collected, foot size, body weight, and waist circumference were measured. Body mass and waist/height indexes were calculated. Results: The weight condition adequate to the time pregnancy was identified (67.08 percent). 82.87 percent of women retained weight one year after delivery, more frequently in obese (90.0 percent) and overweight (83.01 percent) women according to their nutritional status at the time pregnancy was identified. All women had waist/height index above 0.50 one year after delivery. Conclusions: Women with weight gains higher than recommended have less capacity to recover their body weight one year after delivery(AU)
Subject(s)
Humans , Female , Pregnancy , Nutrition Assessment , Waist-Height Ratio , Gestational Weight Gain , Cardiometabolic Risk Factors , Cross-Sectional Studies , Observational StudyABSTRACT
En el mundo la obesidad es considerada una pandemia que provoca grandes cambios metabólicos, responsables de las llamadas enfermedades crónicas no transmisibles (ECNT), las cuales presentan un 60 % de mortalidad, según la Organización Mundial de la Salud (2016). En Chile el 75 % de la población adulta y el 50,9 % de la población estudiantil, muestran índices de masa corporal de sobrepeso y obesidad, con un nivel de sedentarismo general de 66,2 %. Los objetivos de este trabajo fueron determinar los perfiles antropométricos, riesgo metabólico y niveles de actividad física en profesores de enseñanza básica en un colegio particular subvencionado de Arica-Chile. El total de los profesores, 12 varones y 29 mujeres, fueron evaluados según: peso, talla, perímetro de cintura, índice cintura-talla (ICT), índice de masa corporal (IMC), masa grasa (MG), masa grasa visceral (MGV) y masa muscular (MM). A todos ellos se les calculó el riesgo metabólico según protocolos de Ashwell & Gibson (2016) y el IMC según fórmula de Quetelet. Para determinar los porcentajes de MG, MM y MGV, se utilizó instrumento de bioimpedancia eléctrica, Omron HBF-514C. Posteriormente se les aplicó una encuesta sobre nivel de actividad física (IPAQ). Los datos fueron analizados en estadístico IBM SPSS para tendencia central, dispersión, conteos y porcentajes. Para correlación se usó test de Pearson (r>0,5). Los resultados muestran que un 68,3 % de los profesores presenta sobrepeso y obesidad. El IMC y porcentaje de MGV son significativamente más alto en varones que en mujeres (30,6 ±7,0 / 26,9±4,6 y 11,2±5,6 / 7,6±2,5 respectivamente). El riesgo metabólico general de la población en estudio fue de 58,5 % (75 % y 51,7 % varones y mujeres respectivamente). Se observa una alta correlación entre IMC-MGV (0,84), IMC-ICT (0,84) y MM-MG (0,85). Respecto al nivel de actividad física, solo el 19,5 % de los profesores muestra un nivel de actividad física alto. Se concluye que los profesores presentan valores antropométricos alterados que indican altos índices de riesgos metabólicos y con bajos niveles de actividad física. Independientemente, las mujeres presentan mejores índices morfométricos en todos los parámetros en estudio respecto a los profesores varones. Existe una alta correlación (r) entre el índice de masa corporal y los porcentajes de masa de grasa visceral y el índice de de cintura talla. Se sugiere enfocar las intervenciones educativas según sello de vida saludable, incentivando la actividad física y mejorar los hábitos alimenticios en los profesores.
Obesity is considered a global pandemic that causes major metabolic changes. It is responsible for the so-called noncommunicable chronic diseases (NCDs), which report a 60 % mortality rate (WHO, 2017). In Chile, 63 % of the population shows body mass indexes (BMI) of overweight and obesity, with a sedentary level of 86.7 %. The objectives of this work were to determine the anthropometric profiles, metabolic risk, and physical activity levels in primary school teachers, in a subsidized school in Arica, Chile. The teachers (n=41), 12 men, and 29 women were evaluated according to weight, height, waist circumference (WC), waist-to-height index (WHI), BMI, Fat Mass (FM), Visceral Fat Mass (VFM) and Muscle Mass (MM). All of them were calculated for metabolic risk, according to Ashwell & Gibson protocols and BMI according to Quetelet's formula. To determine the percentages of FM, MM, and VFM, an electric bioimpedance instrument, Omron HBF-514C, was used. Subsequently, a survey of physical activity level (IPAQ) was applied. The data were analyzed in the IBM SPSS statistic for central tendency, dispersion, counts, and percentages. For correlation, Pearson's test (r> 0.5) was used. The results show that 68.3 % of teachers are overweight and obese. BMI and percentage of VFM are significantly higher in men than in women (30.6 ± 7.0 / 26.9 ± 4.6 and 11.2 ± 5.6 / 7.6 ± 2.5 respectively). The overall metabolic risk of the study population was 58.5 % (75 % and 51.7 % men and women, respectively). There is a high correlation between BMIVFM (0.84), BMI-WHI (0.84), MM-FM (0.85). Regarding the level of physical activity, only 19.5 % of teachers show a high level of physical activity. It is concluded that teachers have altered anthropometric values that indicate high rates of metabolic risks and low levels of physical activity. Regardless, women have better morphometric indexes in all parameters under study, compared to male teachers. There is a high correlation (r) between body mass index and percentages of visceral fat mass and waist height index. It is suggested to focus on educational interventions according to the healthy life seal, promoting physical activity, and improving eating habits in teachers.
Subject(s)
Humans , Male , Female , Adult , Body Composition , Risk Assessment , School Teachers , Metabolic Diseases/diagnosis , Body Mass Index , Chile , Adipose Tissue , Waist-Height RatioABSTRACT
ABSTRACT Background: The functional fitness of older people may be associated with their nutritional status. Aim: To assess the association between of anthropometric measures with functional fitness in older people. Material and Methods: Cross-sectional study conducted in 75 participants aged 65 to 89 years. Body mass index (BMI), waist-to-height ratio (WHtR), fat mass (FM) and skeletal muscle mass index (SMI) were calculated from anthropometric measures. The functional fitness was determined using the Senior Fitness Test battery. Results: BMI and FM indicated obesity, and WHtR indicated cardiometabolic risk in 49%, 55% and 83% of participants, respectively. SMI indicated a low muscle mass in 91% of females. Performance standards of chair stand, arm curl, 2-min step test and 8-foot up-and-go tests were met in 1%, 8%, 1% and 89% of participants, respectively. Significant negative correlations were found between 2-min step test and BMI, WHtR and FM (r = −0.26, −0.31 and −0.48 respectively). Back scratch had a negative correlation with BMI (r = −0.23) and SMI (rho = −0.28). Significant positive correlations were found between 8-foot up-and-go, WHtR (rho = 0.28) and FM (rho = 0.23), and between 2-min step test and SMI (rho = 0.28). The coefficient of determination (R2) between 2-min step test with BMI, WHtR and FM were 0.05, 0.08 and 0.22, respectively, while the R2 between back scratch and BMI was 0.04. Multiple regression models indicated that FM affected the 2-min step test independently of BMI and WHtR (adjusted R2 = 0.22), however age and sex negatively influenced these associations. Conclusions: Functional fitness of older adults is influenced by nutritional anthropometric measures, particularly BMI, WHtR and FM for aerobic capacity, and BMI for upper limb flexibility.
Introducción: El estado nutricional y la condición física funcional (CFF) pueden estar relacionados en adultos mayores. Objetivo: Analizar la influencia de medidas antropométricas nutricionales sobre CFF. Material y Método: Estudio transversal realizado en 75 adultos de 65 a 89 años. Las variables antropométricas fueron índice de masa corporal (IMC), razón cintura-talla (RCT), masa adiposa (MA) e índice de masa muscular esquelética (IMME). La evaluación de CFF se efectuó con la batería Senior Fitness Test. Resultados: El IMC y MA indicaron obesidad, y RCT indicó riesgo cardiometabólico en 49%, 55% y 83% de los participantes, respectivamente. IMME indicó una baja masa muscular en 91% de las mujeres. El estándar de rendimiento para las pruebas sentarse-levantarse, flexión-codo, paso-2-minutos y levantarse-caminar-sentarse se logró en 1%, 8%, 1% y 89% de los participantes, respectivamente. Se encontraron correlaciones significativas negativas entre paso-2-minutos con IMC, RCT y MA (r = −0.26,-0.31 y-0.48 respectivamente. La misma asociación se observó entre juntar-manos-espalda con IMC (r = −0.23) e IMME (rho = −0.28). Se encontraron correlaciones significativas positivas entre levantarse-caminar-sentarse con RCT (rho=0.28) y MA (rho = 0.23), y entre paso-2-minutos con IMME (rho = 0.28). Los R2 entre paso-2-minutos e IMC, RCT y MA fueron 0.05, 0.08 y 0.22, respectivamente, mientras que el R2 entre juntar-manos-espalda e IMC fue 0.04. Los modelos de regresión múltiple indicaron que MA afectó la prueba paso-2-minutos independientemente de IMC y RCT (R2 ajustado = 0.22), aunque la edad y sexo afectaron negativamente estas asociaciones. Conclusiones: La CFF de adultos mayores es influenciada por alteraciones evidenciadas por medidas antropométricas nutricionales, particularmente IMC, RCT y MA sobre la capacidad aeróbica, e IMC sobre la flexibilidad de extremidad superior.
Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Nutritional Status , Waist-Height Ratio , Body Mass Index , Serial Cross-Sectional Studies , Waist Circumference , ObesityABSTRACT
En este estudio se compara el Índice de Peso-Circunferencia de Cintura (IPCC), con los indicadores Índice de Masa Corporal (IMC), Índice Cintura-Talla (ICT) y Porcentaje de Grasa Corporal (%GC), en tres grupos de sujetos para determinar que tan eficiente resulta en el diagnósticoo de sobrepeso y obesidad y proponerlo como complemento de los otros indicadores mencionados. Métodos: estudio exploratorio, descriptivo, prospectivo y correlacional en una muestra probabilística de 655 sujetos, dividida en tres sub muestras: 455 niños y adolescentes, 97 universitarios y 103 adultos. Variables: edad, sexo, peso, talla, circunferencia de cintura (CC), Índice de Masa Corporal (IMC), Índice Cintura Talla (ICT) e Índice de Peso-Circunferencia de Cintura (IPCC), Porcentaje de Grasa Corporal (%GC). Medidas estadísticas: descriptivas, asociación, correlación, comparación de promedios y regresión logística. Resultados: IMC revela, sobrepeso y obesidad mayor en adultos; CC e ICT mayor riesgo en adultos; %GC reporta obesidad en 6,8% niños, 17,9% universitarios y 64,8% adultos. IPCC se comporta normalmente, aumenta con la edad, 15,6% en niños y adolescentes, 14,4% universitarios y 14,6% adultos, en riesgo. Promedios del IPCC por sexo, en niños y adolescentes, no significativos; correlaciona con peso, talla e IMC (r>0,70). Regresión logística evidencia verosimilitud significativa (p<0,001), regresiones mayores a 0,90 y bondad de ajuste significativas (p<0,000). Conclusiones: Considerar el IPCC conjuntamente con otros indicadores para evaluar sobrepeso y obesidad(AU)
This study compares the Waist Weight-Circumference Index (WIWC), with the indicators Body Mass Index (BMI), Waist-Height Index (WHI) and Body Fat Percentage (BF%), in three groups of subjects to determine how efficient it is in the diagnosis of overweight and obesity and propose it as a complement to the other indicators mentioned. Methods: Methods: exploratory, descriptive, prospective and correlational study in a probabilistic sample of 655 subjects, divided into three sub-samples: 455 children and adolescents, 97 university students and 103 adults. Variables: age, sex, weight, height, waist circumference (WC), Body Mass Index (BMI), Waist Height Index (WHI) and Waist Circumference Weight Index (WIWC), Body Fat Percentage (BF%). Statistical measures: descriptive, association, correlation, comparison of averages and logistic regression. Results: BMI reveals, overweight and obesity in adults; CW and WHI increased risk in adults; BF% reports obesity in 6.8% children, 17.9% university students and 64.8% adults. WIWC behaves normally, increases with age, 15.6% in children and adolescents, 14.4% university students and 14.6% adults, at risk. WIWC averages by sex, in children and adolescents, not significant; correlates with weight, height and BMI (r> 0.70). Logistic regression shows significant likelihood (p <0.001), regressions greater than 0.90 and significant goodness of fit (p <0.000). Conclusions: Consider the WIWC together with other indicators to assess overweight and obesity. Keywords: Overweight, Obesity, Body Mass Index, Waist Circumference, Waist Size Index, Weight Index Waist Circumference, Body Fat Percentage(AU)