Anthropometric Regression Equations for Estimating Computed Tomography Derived Abdominal Adipose Tissue in Women.

Kekes‐Szabo, Tamas; Gr, Hunter; Nyikos, Ildiko; Williams, Michael Steven; White, Martha; Blaudeau, Tamilane E.

doi:10.1249/00005768-199505001-01029

Cited by 7 publications

(12 citation statements)

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“…Many other investigations 11,12,14,17,19,20,28,[42][43][44] have found WC to be more strongly correlated with and a better predictor of AVF than WHR. The difference between our study and these other investigations is that the correlation between WHR and AVF was higher in our study.…”

Section: Discussionmentioning

confidence: 91%

“…1 Computed tomography (CT) [2][3][4][5][6] and magnetic resonance imaging [7][8][9][10] are used to measure abdominal visceral fat (AVF), but these measures are not routinely obtained due to the high cost and unavailability of the associated equipment. This has led investigators 7,8,[11][12][13][14][15][16][17][18][19][20][21][22][23][24] to examine potential predictors of AVF from more accessible demographic, anthropometric, and body composition variables. Most of these studies have included only White subjects, but there is evidence that when controlled in some manner for body fatness, the relationship of anthropometric and body composition measures to AVF may be different for Black and White subjects.…”

Section: Introductionmentioning

confidence: 99%

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Generalized abdominal visceral fat prediction models for black and white adults aged 17–65 y: the HERITAGE Family Study

Jackson

et al. 2004

Int J Obes

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OBJECTIVE:To determine if the relationship between abdominal visceral fat (AVF) and measures of adiposity are different between Black and White subjects and to develop valid field prediction models that accurately identify those individuals with AVF levels associated with high risk for chronic disease. DESIGN: Cross-sectional measurements obtained from 91 Black men, 137 Black women, 227 White men, and 237 White women subjects, ages 17-65 y, who were participants in the HERITAGE Family Study, both at baseline and following 20 weeks of endurance training. MEASURMENTS: AVF, abdominal subcutaneous fat (ASF), abdominal total fat (ATF), and sagittal diameter (SagD) were measured by computed tomography (CT). Body density was determined by hydrostatic weighing and was used to estimate relative body fat. Arm, waist (WC), and hip circumferences and skinfold thickness measures were taken, and BMI was calculated from weight (kg) and height (m 2 ). Since CT abdominal fat variables were skewed, a natural log transformation (Ln) was used to produce a normal distribution. The General Linear Model (GLM) procedure was used to test the relationship between AVF and two different groups of variablesFCT and anthropometric. RESULTS: The AVF of White men and women was significantly higher than that of Black men and women, independent of BMI, WHR, WC, and age, and was greater for men than for women. The CT model showed that the combination of SagD, Ln (ASF), age, and race accounted for 84 and 75% of the variance in AVF in men and women, respectively. The anthropometric model provided two valid generalized field AVF prediction equations. The Field-I equation, which included BMI, WHR, age and race, had an r 2 of 0.78 and 0.73 for men and women, respectively. The Field-II equation, which included BMI (women only), WC, age, and race, had an r 2 of 0.78 and 0.72 for men and women, respectively. The field model equations became less accurate as the estimated AVF increased. CONCLUSIONS: (1) At the same age and level of adiposity, Black men and women have less AVF than White men and women. These differences are greater in men than in women. (2) The field regression equations can be generalized to the diverse group of adults studied, both in an untrained and trained state. However, their accuracy decreases with increasing levels of AVF.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Generalized abdominal visceral fat prediction models for black and white adults aged 17–65 y: the HERITAGE Family Study

Jackson

et al. 2004

Int J Obes

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“…IAF was estimated using a prediction equation based on age, waist circumference and suprailiac skinfold: 13 IAF [ ( waist circumference Â 2.57 ) (age Â 0.92) (suprailiac skinfold Â 0.69) 7 188.61]; model R 2 0.75. This equation was developed in 153 women ranging in age from 17±76 y, comprising approximately 40% postmenopausal women.…”

Section: Fat Distributionmentioning

confidence: 99%

Fat distribution and plasma lipid-lipoprotein concentrations in pre- and postmenopausal women

et al. 1998

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OBJECTIVE: In the postmenopausal years, women develop a central pattern of fat distribution and an increased risk of developing cardiovascular disease (CVD). The possibility that these events are related has not been extensively investigated. The object of the present study was to test the hypotheses that, 1) menopause-related differences in lipids are associated with greater estimated intra-abdominal adiposity, and 2) the relationship between individual adipose depots and plasma lipids differs with menopausal status. DESIGN: Cross-sectional. SUBJECTS: 141 healthy pre-and postmenopausal women aged 35 ± 65 y. MEASUREMENTS: Total body fat by hydrodensitometry was used as an index of whole-body adiposity, the sum of ®ve central skinfold measurements as an index of subcutaneous upper-body adiposity, and estimated intra-abdominal adipose tissue (IAF) as an index of visceral adiposity. Fasting plasma concentrations of total cholesterol (total-C), highand low-density-lipoprotein cholesterol (HDL-C, LDL-C), and triglycerides were used as indices of CVD risk. RESULTS: Postmenopausal women had greater total body fat (P`0.001), summed central skinfolds (P`0.01), estimated IAF (P`0.001), higher plasma concentrations of total-C (P`0.001), LDL-C (P`0.001) and triglycerides (P`0.001), than premenopausal women. The relationship between central skinfolds and LDL-C differed with menopausal status, being signi®cant in pre-but not postmenopausal women. Adjustment for estimated IAF with analysis of covariance decreased menopause-related differences in levels of total-C, LDL-C and triglycerides by approx 40 ± 70%. CONCLUSION: These observations suggest that, 1) menopause-related changes in IAF may adversely affect the plasma lipid pro®le, and 2) menopausal status affects the relationship between central subcutaneous fat and LDL-C. Studies with measured IAF are needed to con®rm present results.

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“…La edad, como única variable no antropométrica, ha demostrado ser importante en la explicación de los contenidos de masa grasa en diferentes estudios, presentando siempre una relación directamente proporcional con el aumento de los depósitos grasos. [24][25][26][27] El perímetro de cadera ha demostrado ser una de las variables antropométricas más recurrentes a la hora de predecir la cantidad de grasa, tanto subcutánea, como visceral 28 , aunque varios autores 29,30 han determinado el cuociente de circunferencia cintura/cadera como un mejor predictor. Al respecto, Weits et al 25 comenta que ambas circunferencias por separado son mejores predictores que como un índice.…”

Section: Figuraunclassified

“…Respecto a la clasificación del estado nutricional según la sumatoria de los pliegues subcutáneos, los resultados concuerdan con lo determinado por Bouza et al 23 , quienes mencionan que el único pliegue que se asoció de manera significativa, aunque moderada, con los depósitos grasos viscerales fue el pliegue submentoniano (r = 0,39), hallazgo que también es compartido por Koester et al 32 La talla y peso, variables que también aportaron a la determinación del perfil nutricional según pliegues, diferentes estudios las han reportado como importantes en la explicación y predicción de los depósitos grasos, aunque no en forma separada, sino más bien como IMC. 24,25,27,30,33,34 Cabe señalar que manejar información respecto del estado nutricional de las trabajadoras hoy cobra especial importancia a la hora de prevenir enfermedades, ya que no tan sólo se producirá una afección en la salud de la trabajadora, sino que de una u otra forma, esta condición repercutirá en la productividad de cualquier labor. De este modo, la postura, el tipo de trabajo (asociado al movimiento y al tiempo de exposición) y la contextura física, juegan un papel relevante a la hora de establecer el origen de dolencias músculo-esqueléticas relacionadas con las labores propias del trabajo.…”

Section: Figuraunclassified

Clasificación del estado nutricional basada en perfiles antropométricos del personal silvoagropecuario femenino de un sector del centro-sur de Chile

Espinoza¹,

Palomo²,

Urrea³

2016

Cienc Trab.

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Entre 1960 y 1990, el número de mujeres económicamente activas se triplicó, pasando de 18 a 57 millones, mientras que en los hombres ni siquiera alcanzó a duplicarse (de 80 a 147 millones). Como resultado de esta tendencia de largo plazo, se ha reducido la brecha entre los sexos, en términos de participación en la fuerza de trabajo.1 En Chile, la población laboral femenina participa en una variada gama de sectores productivos, siendo los más significativos el silvoagropecuario, comercio, servicios e industria manufacturera. Si bien el sector agropecuario se mantiene entre los más importantes, ha tenido en la última década una disminución continua, dada su importancia relativa en la economía nacional. 2Rubros tales como el silvícola, agrícola, o la combinación de ellos (silvoagropecuario), resultan ser algunos de los más importantes desde la perspectiva del análisis del trabajo, ya que es en este INTRODUCCIÓNLa participación de las mujeres latinoamericanas en el mundo del trabajo ha crecido significativamente durante las últimas décadas. ABSTRACTIn order to identify the anthropometric variables that best explain the nutritional status of female staff of the agriculture and forestry sector of the Maule and Bio Bio in Chile, nutritional status was determined using three indicators: body mass index (BMI ), percentage of fat mass obtained through bioelectrical impedance and subcutaneous measurements. This research proposes the hypothesis that an anthropometric assessment to determine the variables that explain the body composition through multivariate techniques. The identification of anthropometric profiles, which allowed to characterize the probability of overweight women workers, was carried through classification trees, statistical technique based on the use of predictive variables to partition the database, in similar regions, obtaining highly homogeneous groups for a particular feature. As a result it was determined that the study population has high percentages of obesity. The classification methodology determined for the case of BMI, anthropometric variables that significantly explained the probability of overweight were hip circumference and age; however, in the case of fat mass percentage determined by bioelectrical impedance they were forearm circumference and triceps skinfold; and through skinfolds, submental crease, height and weight. RESUMENCon el objetivo de identificar las variables antropométricas que mejor explican el estado nutricional del personal femenino del sector silvoagropecuario de las regiones del Maule y Bío-Bío en Chile, se determinó su estado nutricional a través de tres indicadores: el índice de masa corporal (IMC), porcentaje de masa grasa obtenido a través de impedancia bioeléctrica y mediciones subcutáneas. La presente investigación propone como hipótesis que una evaluación antropométrica permite determinar las variables que explican la composición corporal, a través de técnicas multivariantes. La identificación de perfiles antropométricos, que permitieron caracterizar la probabilid...

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Anthropometric Regression Equations for Estimating Computed Tomography Derived Abdominal Adipose Tissue in Women.

Cited by 7 publications

References 0 publications

Generalized abdominal visceral fat prediction models for black and white adults aged 17–65 y: the HERITAGE Family Study

Generalized abdominal visceral fat prediction models for black and white adults aged 17–65 y: the HERITAGE Family Study

Fat distribution and plasma lipid-lipoprotein concentrations in pre- and postmenopausal women

Clasificación del estado nutricional basada en perfiles antropométricos del personal silvoagropecuario femenino de un sector del centro-sur de Chile

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