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1.
Int. j. morphol ; 41(6): 1824-1832, dic. 2023. ilus, tab
Article in Spanish | LILACS | ID: biblio-1528780

ABSTRACT

La termografía por infrarrojo (TI) permite evaluar la temperatura corporal, medir los cambios en la disipación del calor corporal en superficie y relacionarlos con las características de composición corporal e índices antropométricos. Aumentar el número de registros de zonas corporales evaluadas con TI y establecer las relaciones de estas temperaturas (32 áreas corporales) con variables de composición corporal e índices antropométricos, como el índice de masa corporal (IMC), índice cintura cadera, índice cintura estatura, en hombres adultos divididos según su estado ponderal. Participaron 60 hombres, adultos sanos, divididos en 2 grupos: grupo 1 (n=30), con IMC ≤ 24,9, edad 23,2 ± 3,9 años, masa corporal 66,5 ± 6,5 kg, y talla 170,5 ± 7,4 cm; y, grupo 2 (n= 30), con IMC > 24,9, edad 29,4 ± 9,9 años, masa corporal 84,5 ± 11,9 kg, y talla 172,0 ± 7,18 cm. Se realizaron evaluaciones antropométricas y de TI. Sujetos con IMC ≤ 24,9 kg/ m2 presentaron valores mayores de temperatura superficial, en todas las zonas estudiadas, a diferencia de los sujetos con niveles de IMC > 24,9 kg/m2, donde la disipación del calor corporal fue menor. Existe una estrecha relación entre la temperatura superficial de la piel y el IMC, donde sujetos con un IMC normal mostraron una disipación de calor y valores de temperatura superficial mayores, en todas las zonas evaluadas, a diferencia de los sujetos con un IMC que se encontraba por encima del límite de normalidad.


SUMMARY: Infrared thermography (IT) makes it possible to assess body temperature, measure changes in body heat dissipation on the surface, and relate them to body composition characteristics and anthropometric indices. The objective of this study was to increase the number of records of body areas evaluated with IT and establish the relationships of these temperatures (32 body areas) with body composition variables and anthropometric indices, such as body mass index (BMI), waist-hip ratio, waist-height ratio, in adult men divided according to their weight status. A total of 60 healthy adult men participated, divided into 2 groups: group 1 (n=30), with a body mass index (BMI) ≤ 24.9, age 23.2 ± 3.9 years, body mass 66.5 ± 6.5 kg, and height 170.5 ± 7.4 cm; and, group 2 (n = 30), with BMI > 24.9, age 29.4 ± 9.9 years, body mass 84.5 ± 11.9 kg, and height 172.0 ± 7.18 cm. Anthropometric and IT assessments were performed. Subjects with BMI ≤ 24.9 kg/ m2 presented higher values of surface temperature in all areas studied, unlike subjects with BMI levels > 24.9 kg/m2, where body heat dissipation was lower. There is a close relationship between skin surface temperature and BMI, where subjects with a normal BMI showed higher heat dissipation and surface temperature values, in all evaluated areas, unlike subjects with a BMI that was above the normal limit.


Subject(s)
Humans , Male , Adult , Young Adult , Body Composition , Body Temperature , Anthropometry , Skinfold Thickness , Thermography , Body Mass Index , Waist-Hip Ratio , Overweight , Waist-Height Ratio , Obesity
2.
Int. j. morphol ; 41(6): 1698-1705, dic. 2023. tab
Article in Spanish | LILACS | ID: biblio-1528811

ABSTRACT

Los objetivos de este estudio fueron 1) describir factores antropométricos asociados a la obesidad y pruebas de condición física junto con 2) determinar la correlación entre estas variables en un grupo de escolares provenientes de la región de Valparaíso. Participaron un total de 109 escolares divididos por sexo y por grupos de edad. Los escolares fueron divididos en dos grupos entre 9 a 11 años (24 hombres= 47,98 ± 10,4 kg; 145,73 ± 7,3 cm; 25 mujeres= 45,06 ± 11,1 kg; 145,30 ± 6,6 cm) y entre 12 a 14 años (24 hombres= 54,85 ± 13,2 kg; 158,42 ± 8,8 cm; 36 mujeres= 52,21 ± 9,1 kg; 155,36 ± 6,1 cm). Se realizaron evaluaciones de la condición física utilizadas en el proceso de evaluación del Sistema de Medición de la Calidad de la Educación (SIMCE) de educación física para escolares chilenos. Estas evaluaciones incluyeron parámetros de flexibilidad, carrera, salto horizontal, y resistencia muscular. Junto con esto, se evaluaron variables antropométricas como peso, estatura y perímetro de cintura para establecer índices antropométricos de obesidad como el índice de masa corporal (IMC), el perímetro de cintura (PC) y el índice de cintura estatura (ICE). Se encontraron diferencias significativas entre los grupos de hombres de los diferentes grupos de edad en las pruebas de condición física, resistencia muscular abdominal (p = 0,001), salto horizontal (p = 0,002) y prueba de carrera (p = 0,003). Entre los grupos de mujeres se encontraron diferencias significativas en las variables de condición física, salto horizontal (p = 0,002) y carrera (p = 0,003). Tanto en hombres como en mujeres del grupo de 9 a 11 años se encontraron correlaciones significativas entre las variables antropométricas con pruebas de salto horizontal y capacidad de carrera (p = 0,03, r = -0,42 - 0,83, moderado a muy fuerte). En este mismo grupo solo las mujeres presentaron una correlación significativa entre parámetros antropométricos y la prueba de resistencia muscular en flexo extensiones de codo (p < 0,05, r = -0,42 - -0,52, moderado a fuerte) y abdominales (p < 0,05, r = -0,57 - -0,60, fuerte). Para el grupo entre 12 y 14 años se obtuvieron correlaciones negativas entre el ICE y la prueba de carrera en hombres (p < 0,016, r = -0,48, moderado), PC y la prueba de carrera en mujeres (p < 0,011, r = -0,41, moderado). Sólo en mujeres fue posible encontrar correlaciones significativas entre PC, IMC e ICE con salto horizontal (p < 0,05, r = 0,38 - 0,48, moderado). Los resultados sugieren una correlación negativa entre parámetros antropométricos de exceso de peso corporal y el rendimiento en pruebas físicas, siendo en el grupo de mayor edad las mujeres quienes presentan mayor cantidad de correlaciones significativas entre variables. Estos datos refuerzan la importancia de incluir abordajes integrales en las clases de educación física considerando estilos de vida activos y saludables en conjunto con la promoción de la actividad física.


SUMMARY: The objectives of this study were 1) to describe anthropometric factors associated with obesity and physical fitness tests and 2) to determine the correlation between these variables in a group of schoolchildren from the Valparaíso region. A total of 109 schoolchildren divided by sex and age groups participated. The schoolchildren were divided into two groups between 9 to 11 years (24 males = 47,98 ± 10,4 kg; 145,73 ± 7,3 cm; 25 females = 45,06 ± 11,1 kg; 145,30 ± 6,6 cm) and between 12 to 14 years (24 males = 54,85 ± 13,2 kg; 158,42 ± 8,8 cm; 36 females = 52,21 ± 9,1 kg; 155,36 ± 6,1 cm). Physical fitness assessments used by the Sistema de Medición de la Calidad de la Educación (SIMCE) evaluation process for physical education for Chilean schoolchildren were performed. These assessments included flexibility, sprint capacity, horizontal jump, and muscular endurance parameters. In addition, anthropometric variables such as weight, height and waist circumference were evaluated to establish anthropometric indices of obesity such as body mass index (BMI), waist circumference (WC) and waist-height index (WHI). Significant differences were found between the groups of men in the different age groups in the physical fitness tests, abdominal muscular endurance (p = 0.001), horizontal jump (p = 0.002), sprint test (p = 0.003) and the anthropometric index BMI (p = 0.048). Among the female groups, significant differences were only found in the physical condition variables, horizontal jump (p = 0.002) and sprint (p = 0.003). In both males and females in the 9- to 11- year-old group, significant correlations were found between anthropometric variables and tests of horizontal jumping and sprint ability (p = 0.03, r = -0.42 - 0.83, moderate to very high). In this same group, only females presented a significant correlation between anthropometric parameters and muscular endurance tests in elbow flexion (p < 0.05, r = -0.42 - -0.52, moderate to high) and abdominals (p < 0.05, r = -0.57 - -0.60, high). For the group between 12 and 14 years, negative correlations were obtained between WHI and the sprint test in males (p < 0.016, r = -0.48, moderate), WC and the sprint test in females (p < 0.011, r = -0.41, moderate). Only in women was it possible to find significant correlations between WC, BMI and ICE with a horizontal jump (p < 0.05, r = 0.38 - 0.48, moderate). The results suggest a negative correlation between anthropometric parameters of excess body weight and performance on physical tests, with women in the older age group presenting the highest number of significant correlations between variables. These data reinforce the importance of including integral approaches in physical education classes that consider active and healthy lifestyles together with the promotion of physical activity.


Subject(s)
Humans , Male , Female , Child , Adolescent , Students , Anthropometry , Physical Fitness , Obesity , Body Mass Index , Chile , Age and Sex Distribution , Waist Circumference , Waist-Height Ratio
3.
Int. j. morphol ; 41(2): 577-582, abr. 2023. tab
Article in Spanish | LILACS | ID: biblio-1440336

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 Ratio
4.
Asian Journal of Andrology ; (6): 265-270, 2023.
Article in English | WPRIM | ID: wpr-971015

ABSTRACT

This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.


Subject(s)
Middle Aged , Male , Humans , Aged , Prostatic Hyperplasia , Obesity/epidemiology , Body Mass Index , China/epidemiology , Waist-Height Ratio , ROC Curve , Waist Circumference , Risk Factors
5.
Rev. chil. endocrinol. diabetes ; 16(3): 35-45, 2023. ilus, tab
Article in Spanish | LILACS | ID: biblio-1451900

ABSTRACT

El Estimador de Sensibilidad a la Insulina de Punto Único (SPISE) es un biomarcador de sensibilidad a la insulina comparable al Índice de Matsuda. Se estima utilizando el IMC y los niveles de triglicéridos y HDL. El objetivo de este estudio fue comparar el rendimiento diagnóstico de SPISE con el de otros marcadores antropométricos de uso rutinario, como el IMC y la relación cintura | talla, en la pesquisa de insulinoresistencia (IR) y Síndrome Metabólico (MetS) en una muestra de 901 adolescentes de 11 a 16 años. En todos ellos se midió peso, talla, cintura, presión arterial, perfil lipídico, insulina y glicemia. La IR se diagnosticó con el HOMA-IR y el MetS con el criterio de Cook. Un zIMC ≥2.0 DE, un índice cintura/ talla ≥0.54 y un SPISE ≤ 5.4 fueron los puntos de corte utilizados para evaluar el rendimiento de estos marcadores en el diagnóstico de IR y MetS. No hubo diferencias por sexo en la prevalencia de obesidad, IR y MetS. Tanto en hombre como en mujeres, SPISE mostro una mejor capacidad para predecir el MetS (AUC: 0.95 y 0.89, respectivamente) e IR (AUC: 0.83 y 0.79, respectivamente) comparado con el rendimiento diagnóstico de la relación cintura | talla y el IMC-z. De igual manera, el SPISE mostro una mayor sensibilidad para identificar a los portadores de MetS e IR (96% y 75% en varones y 81% y 67% en mujeres, respectivamente). SPISE mostró una mejor capacidad para identificar el riesgo cardiometabólico asociado a la malnutrición por exceso al compararlo con otros indicadores de uso frecuente en clínica. Un índice de SPISE ≤5.4 fue un mejor predictor de MetS e IR que un IMC ≥2.0 DE y una relación cintura | talla ≥0.54.


The Single Point Insulin Sensitivity Estimator (SPISE) is a biomarker of insulin sensitivity comparable to the Matsuda Index. It is estimated using data on BMI, TG, and HDL. We aim to compare the diagnostic performance of SPISE with other routinely used anthropometric markers, such as BMI and waist-to-height ratio, in diagnosing insulin resistance (IR) and Metabolic Syndrome (MetS) in adolescents from 11 to 16 years. Weight, height, waist, blood pressure, lipid profile, insulin, and glycemia were measured. IR was diagnosed with the HOMA-IR and the MetS with the Cook criteria. A BMIz ≥2.0 SD, a waist-to-height ratio ≥0.54, and a SPISE ≤ 5.4 were the cut-off points used for diagnosing IR and MetS. There were no sex differences in the prevalence of obesity, IR, and MetS. In both males and females, SPISE showed a better ability to predict MetS (AUC: 0.95 and 0.89, respectively) and IR (AUC: 0.83 and 0.79, respectively) compared to the waist-to-height ratio and BMI-z. Similarly, SPISE showed greater sensitivity to identify adolescents with MetS and IR (96% and 75% in men and 81% and 67% in women, respectively) than the waist-to-height ratio and BMI-z. SPISE performed better in identifying obesity-related cardiometabolic risk than other frequently used clinical indicators. A SPISE index ≤5.4 was a better predictor of MetS and RI than a BMI ≥2.0 SD and a waist-to-height ratio ≥0.54.


Subject(s)
Humans , Male , Female , Adolescent , Metabolic Syndrome/diagnosis , Cardiometabolic Risk Factors , Obesity/complications , Insulin Resistance , Body Mass Index , Chile/epidemiology , Predictive Value of Tests , ROC Curve , Sensitivity and Specificity , Waist-Height Ratio
6.
Demetra (Rio J.) ; 18: 69325, 2023. ^etab, ilus
Article in English, Portuguese | LILACS | ID: biblio-1442919

ABSTRACT

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 , Obesity
7.
Rev. Nutr. (Online) ; 36: e220176, 2023. tab
Article in English | LILACS | ID: biblio-1521582

ABSTRACT

ABSTRACT Objective: To estimate the prevalence of overweight among Brazilian adults aged 20 to 59, according to sociodemographic characteristics, health-related behaviors, and food consumption. Methods: A cross-sectional study based on data from a population-based survey in a major metropolitan city in the state of São Paulo, Brazil, conducted between 2015-2016. Prevalences and prevalence ratios were estimated using Poisson regression; food consumption means were estimated using linear regression. Results: We analyzed data from 855 adults, 61% of whom were overweight. The prevalence of overweight was significantly higher among males, those aged 30 or older, with 8 to 11 years of education, and those who reported eating more than they should. The body mass index was significantly associated with hypertension, diabetes, high cholesterol, waist-to-height ratio, taking weight-loss medications, overeating, and the habit of checking labels. Overweight adults reported eating meat with visible fat and drinking soda more frequently than those not overweight. Overweight adults reported eating significantly more grams of food daily and had a higher intake of energy, total fat, saturated fats, trans fats, carbohydrates, protein, insoluble dietary fiber, sodium, and potassium. Their diets had a higher glycemic load when compared to participants who were not overweight. Conclusion: Adults with and without overweight differed in their sociodemographic, dietary, and clinical characteristics. Diet quality was similar between both groups, suggesting a need for improving dietary habits in this population regardless of body weight.


RESUMO Objetivo: Estimar a prevalência de excesso de peso entre adultos brasileiros, de 20 a 59 anos, segundo características sociodemográficas, de comportamentos relacionados à saúde e quanto ao consumo alimentar. Métodos: Estudo transversal, de pesquisa de base populacional, em uma cidade metropolitana de São Paulo - Brasil, conduzida entre os anos de 2015 e 2016. Foram estimadas as prevalências e as razões de prevalência por meio da regressão de Poisson, e as médias de consumo alimentar pelo uso da regressão linear. Resultados: Foram analisados dados referentes à 855 adultos, 61% destes apresentavam sobrepeso. A prevalência de excesso de peso foi significativamente maior entre: homens, com 30 anos ou mais, pessoas que possuíam entre 8 e 11 anos de estudo e entre aqueles que acreditavam comer mais do que deveriam. O índice de massa corporal foi significativamente associado à hipertensão, diabetes, colesterol alto, razão cintura-estatura, uso de medicamentos, comer mais do que deveria e o hábito de checar rótulos. Adultos com excesso de peso ingeriam carnes com gordura e refrigerantes em maior frequência quando comparados à adultos com peso saudável. Adultos com excesso de peso consumiam, significativamente, mais gramas de alimentos por dia e apresentaram maior ingestão de calorias, gorduras totais, saturadas e trans, carboidratos, proteína, fibras insolúveis, sódio e potássio. A dieta deles continha uma maior carga glicêmica quando comparada àqueles com peso saudável. Conclusão: Adultos com e sem excesso de peso, diferiram quanto às características sociodemográficas, dietéticas e clínicas. A qualidade da dieta foi similar em ambos os grupos, o que sugere a necessidade de melhora dos hábitos alimentares da população, independentemente do peso corporal.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Health Behavior/physiology , Overweight/epidemiology , Feeding Behavior/physiology , Obesity/epidemiology , Body Mass Index , Chronic Disease/epidemiology , Adult , Diabetes Mellitus/epidemiology , Eating/physiology , Waist-Height Ratio , Glycemic Load/physiology , Sociodemographic Factors , Hypercholesterolemia/epidemiology
8.
Rev. Nutr. (Online) ; 36: e220137, 2023. tab, graf
Article in English | LILACS | ID: biblio-1521585

ABSTRACT

ABSTRACT Objective: To analyze the association of anthropometric indicators of adiposity in older people, according to sex, with hypertension; to compare the scores of these variables between participants with and without hypertension; and to identify among them those with better predictive ability for screening the outcome. Methods: Epidemiological, population-based, cross-sectional study conducted with 210 older people. The anthropometric indicators analyzed were: body mass index, waist circumference, abdominal circumference, body adiposity index, triceps skinfold, waist-to-hip ratio, waist-to-height ratio, and conicity index. Hypertension diagnosis was self-reported. Results: The indicators of adiposity increased the probability of hypertension. Additionally, hypertensive older people of both sexes showed higher scores on adiposity indicators than non-hypertensive subjects (p < 0.05). For men, the most sensitive indicator for the outcome was conicity index (81.82%; cut-off point: 1.30) and the most specific was body mass index (69.77%; cut-off point: 25.05 kg/m2). For women, the most sensitive indicator for the outcome was the body adiposity index (86.08%; cut-off point: 31.03%), and the most specific was the abdominal circumference (82.82%; cut-off point: 98.70 cm). Conclusion: In both sexes, the indicators of adiposity were positively associated with hypertension; hypertensive participants showed higher values in the scores of the indicators. Additionally, the body adiposity index (women) and conicity index (men) demonstrated greater ability to screen for hypertension, while the abdominal circumference and body mass index demonstrated greater ability to screen for non-hypertensive women and men, respectively.


RESUMO Objetivo: Analisar a associação de indicadores antropométricos de adiposidade com a hipertensão, em pessoas idosas, de acordo com o sexo; comparar os escores dessas variáveis entre os participantes com e sem hipertensão; e identificar os indicadores com melhor capacidade preditiva à triagem do desfecho. Métodos: Estudo epidemiológico, populacional, transversal, realizado com 210 pessoas idosas. Os indicadores antropométricos analisados foram: índice de massa corporal, circunferência da cintura, circunferência abdominal, índice de adiposidade corporal, dobra cutânea tricipital, relação cintura/quadril, relação cintura/altura e índice de conicidade. O diagnóstico de hipertensão arterial foi autorreferido. Resultados: Observou-se que os indicadores de adiposidade aumentaram a probabilidade à hipertensão. Além disso, as pessoas idosas hipertensas, de ambos os sexos, apresentaram maiores escores nos indicadores de adiposidade quando comparadas às não hipertensas (p < 0,05). Para os homens, o indicador mais sensível ao desfecho foi o índice de conicidade (81,82%; ponto de corte: 1,30) e o mais específico foi o índice de massa corporal (69,77%; ponto de corte: 25,05 kg/m2). Nas mulheres, o indicador mais sensível ao desfecho foi o índice de adiposidade corporal (86,08%; ponto de corte: 31,03%) e o mais específico foi a circunferência abdominal (82,82%; ponto de corte: 98,70 cm). Conclusão: Em ambos os sexos, os indicadores de adiposidade mostraram-se positivamente associados à hipertensão; os participantes hipertensos apresentaram valores mais elevados nos escores dos indicadores. Ademais, identificou-se para os sexos, feminino e masculino, que os indicadores com melhor capacidade de rastrear a hipertensão, foram, respectivamente, o índice de adiposidade corporal e índice de conicidade. Enquanto a circunferência abdominal e o índice de massa corporal mostraram maior capacidade de rastrear, respectivamente, as mulheres e os homens não hipertensos.


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Adipose Tissue , Hypertension/epidemiology , Skinfold Thickness , Aged , Cross-Sectional Studies , Abdominal Circumference , Waist Circumference , Waist-Height Ratio
9.
Rev. saúde pública (Online) ; 57: 24, 2023. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1432163

ABSTRACT

ABSTRACT OBJECTIVE To determine neck circumference (NC) and waist-to-height ratio (WHtR) cut-off points as predictors of obesity and cardiovascular risk in adolescents. METHODS Cross-sectional study developed with a subsample of 634 adolescents aged 18 and 19 years belonging to the third phase of the "RPS" cohort (Ribeirão Preto, Pelotas and São Luís) carried out in 2016. The area under the ROC curve (AUC) was identified to assess the predictive capacity of NC and WHtR in relation to the percentage of body fat (%BF), obtained by air displacement plethysmography (ADP), and the cardiovascular risk estimated by the Pathobiological Determinants of Atherosclerosis in Youth (PDAY). RESULTS The prevalence of obesity by %BF was 7.6% in males and 39.4% in females (p-value <0.001), and the high PDAY risk was 13.8% and 10.9%, respectively. For males, NC cut-off point was 44.0 cm and the AUCs were 0.70 (95%CI 0.58-0.83) to predict obesity and 0.71 (95%CI 0.62-0.80) to predict high cardiovascular risk; for females, NC cut-off point was 40 cm and the AUCs were 0.75 (95%CI 0.69-0.80) and 0.63 (95%CI 0.53-0.73), respectively. WHtR cut-off point was 0.50 for both sexes; for males, the AUCs to predict obesity and high risk according to PDAY were 0.90 (95%CI 0.80-0.99) and 0.73 (95%CI 0.63-0.82), respectively; for females, they were 0.87 (95%CI 0.83-0.90) and 0.55 (95%CI 0.45-0.65), respectively. CONCLUSION WHtR and NC are good discriminators to assess obesity and cardiovascular risk in adolescents, especially in males.


RESUMO OBJETIVO Determinar os pontos de corte da circunferência do pescoço (CP) e da relação cintura-estatura (RCEst) para a predição da obesidade e do risco cardiovascular em adolescentes. MÉTODOS Estudo transversal desenvolvido com uma subamostra de 634 adolescentes de 18 e 19 anos de idade pertencentes à terceira fase da coorte "RPS" (Ribeirão Preto, Pelotas e São Luís) realizada em 2016. Identificou-se a área sob a curva ROC (AUC) para avaliar a capacidade preditiva da CP e RCE em relação ao percentual de gordura corporal (%GC), obtido pela pletismografia por deslocamento de ar (PDA), e do risco cardiovascular estimado pelo Phatobiological Determinants of Atherosclerosis in Youth (PDAY). RESULTADOS A prevalência de obesidade pelo %GC foi de 7,6% no sexo masculino e 39,4% no sexo feminino (p-valor < 0,001) e o alto risco para PDAY foi de 13,8% e 10,9%, respectivamente. Para a CP, o ponto de corte identificado para o sexo masculino foi de 44,0 cm e as AUC foram de 0,70 (IC95% 0,58-0,83) para predição de obesidade e de 0,71 (IC95% 0,62-0,80) para predição do alto risco cardiovascular; e para o sexo feminino foi de 40 cm e as AUC foram de 0,75 (IC95% 0,69-0,80) e de 0,63 (IC95% 0,53-0,73), respectivamente. Para a RCEst, o ponto de corte identificado foi de 0,50 para ambos os sexos e as AUC para a predição da obesidade e do alto risco segundo o PDAY foram de 0,90 (IC95% 0,80-0,99) e 0,73 (IC95% 0,63-0,82), respectivamente, para o sexo masculino; e de 0,87 (IC95% 0,83-0,90) e 0,55 (IC95% 0,45-0,65), respectivamente, para o sexo feminino. CONCLUSÃO RCEst e CP como bons discriminadores para avaliar a obesidade e risco cardiovascular em adolescentes, especialmente no sexo masculino.


Subject(s)
Humans , Male , Female , Infant, Newborn , Child , Adolescent , Anthropometry , Adolescent , Waist-Height Ratio , Heart Disease Risk Factors , Neck , Obesity
10.
Article in English | AIM | ID: biblio-1512895

ABSTRACT

Contrary to the old dictum that central obesity is more common among men than women, recent reports have shown a gradual reversal of this trend, as suggested by some studies. Objective: To compare the prevalence of central obesity among men and women with Diabetes mellitus in NorthCentral Nigeria. Methods: This multi-centred, cross-sectional study was conducted across 20 hospitals in Abuja, Nasarawa State, and Niger State, involving 1040 participants. Some obesity indices (body mass index, waist circumference and waist-toheight ratio) were measured. Results: The prevalence of central obesity (waist circumference criterion) was significantly higher in the females compared to male participants (89.6% vs 51.6%, χ2 = 1231.37, p<0.001), similar to the prevalence determined by waistheight ratio criterion (female vs male, 88.8% vs 71.5%, χ2 = 58.83, p<0.001). Following correction for age, duration of diabetes mellitus, blood pressure, blood glucose, and glycated haemoglobin using logistic regression, female gender remained a significant determinant of central obesity (OR = 2.76, 95% CI 1.81-3.83, p = 0.004). Conclusion: The prevalence of central obesity was higher among women than men in a cross-section of patients with diabetes mellitus in North-Central Nigeria


Subject(s)
Humans , Blood Pressure , Diabetes Mellitus , Obesity, Abdominal , Blood Glucose , Prevalence , Cross-Sectional Studies , Waist Circumference , Waist-Height Ratio , Gender Diversity
11.
JEMDSA (Online) ; 28(1): 18-28, 2023. tables
Article in English | AIM | ID: biblio-1427874

ABSTRACT

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 , Hypertension
12.
Article in Spanish | LILACS | ID: biblio-1424353

ABSTRACT

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 , Obesity
13.
Int. j. cardiovasc. sci. (Impr.) ; 35(3): 391-399, May-June 2022. tab, graf
Article in English | LILACS | ID: biblio-1375651

ABSTRACT

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 Ratio
14.
Int. j. cardiovasc. sci. (Impr.) ; 35(2): 230-242, Mar.-Apr. 2022. tab, graf
Article in English | LILACS | ID: biblio-1364972

ABSTRACT

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/epidemiology
15.
Revista Digital de Postgrado ; 10(3): 325, dic. 2021. tab, graf
Article in Spanish | LILACS, LIVECS | ID: biblio-1425446

ABSTRACT

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 Reagents
16.
Arch. latinoam. nutr ; 71(3): 178-188, sept. 2021. tab
Article in Spanish | LILACS, LIVECS | ID: biblio-1353191

ABSTRACT

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 Style
17.
Arch. latinoam. nutr ; 71(3): 189-198, sept. 2021. tab, graf
Article in Spanish | LILACS, LIVECS | ID: biblio-1353209

ABSTRACT

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 Ratio
18.
Arch. latinoam. nutr ; 71(2): 85-93, jun. 2021. tab
Article in Spanish | LILACS, LIVECS | ID: biblio-1290813

ABSTRACT

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 Obesity
19.
Cienc. Salud (St. Domingo) ; 5(2): [77-85], Ene-Abr. 2021.
Article in Spanish | LILACS | ID: biblio-1363021

ABSTRACT

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, Pediatric
20.
Article in English, Portuguese | LILACS, SES-SP | ID: biblio-1136773

ABSTRACT

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 effects
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