&lt;p&gt;Anthropometric variables as cardiovascular risk predictors in a cohort of adult subjects with Turner syndrome&lt;/p&gt;

Álvarez-Nava, Francisco; Racines, Marcia; Witt, Julia; Guarderas, Jéssica; Estévez, María; Lanes, Roberto

doi:10.2147/dmso.s214787

Cited by 16 publications

(17 citation statements)

References 38 publications

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“…Body fat assessment by bioelectrical impedance analysis was estimated using a segmental two-frequency bioimpedance analyzer (Inbody 120; Biospace Industry, Seoul, South Korea) by a trained investigator (F.A.N.) according to a standard protocol described elsewhere (10).…”

Section: Methodsmentioning

confidence: 99%

“…An appointment was given for each subject during which clinical evaluation and anthropometric measurements were performed and recorded by a single experienced physician (F. A.-N.) according to a standard protocol described elsewhere (10). Each participant was tested individually.…”

Section: Design Study and Study Subjectsmentioning

confidence: 99%

“…However, of the few studies that address insulin secretion in TS, some demonstrate hyperinsulinemia, and others suggest a decreased insulin secretion ( 4 ). Also, ~40% of adult patients with TS are affected with components of metabolic syndrome, especially dyslipidemia ( 5 – 7 ) and IR ( 8 , 9 ), which are worsened by the coexistence of overweight/obesity ( 10 ). Nevertheless, there are conflicting results of pancreatic β-cell function and IR in women with TS ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

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Insulin Sensitivity and Pancreatic β-Cell Function in Ecuadorian Women With Turner Syndrome

et al. 2020

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Objective: To assess insulin sensitivity and pancreatic β-cell function in an adult population of Ecuadorian individuals with Turner syndrome (TS). Design and Methods: This was a cross-sectional correlational study conducted in TS subjects (>20 years old; n = 38). A standard 2-h oral glucose tolerance test was performed in both women with TS and the reference group. Glucose, lipids, insulin, and C-peptide concentrations were measured. Homeostasis Model Assessment (HOMA) of Insulin Resistance, Quantitative Insulin Sensitivity Check Index, McAuley, Matsuda, and Belfiore indices were calculated to evaluate the degree of insulin resistance (IR). The pancreatic β-cell function was assessed using HOMA-β, basal C-Peptide Index (CPI), and CPII at 120 ′. Results: A higher prevalence of impaired glucose tolerance was found in TS subjects compared with the reference group. Although significant differences were found for glucose concentrations at 60 ′ and 120 ′ (but not at 0 ′), only the baseline insulin concentrations differed significantly between the two groups. The values of the IR indices were statistically different between study and reference groups. A significant number of TS subjects diagnosed with IR were differently classified according to the index applied. The concentrations of C-peptide at 0 ′ and 120 ′ of TS subjects were similar to those of the control group. In contrast, the CPI and CPII values in the study group were significantly lower than those in the control group. Conclusion: It is impossible to select the best surrogate method for the assessment of IR in women with TS. The CPI and CPII values could be preferable to other indices to assess the pancreatic β-cell function in TS subjects. Our findings suggest that IR and pancreatic β-cell dysfunction could be independent events in women with TS, and both conditions seem to be caused by the disease per se. Our results imply that early screening and intervention for TS would be therapeutic for TS women.

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Section: Methodsmentioning

confidence: 99%

Section: Design Study and Study Subjectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Insulin Sensitivity and Pancreatic β-Cell Function in Ecuadorian Women With Turner Syndrome

et al. 2020

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“…39 In POI, this relationship is more convoluted, as there are other discernible factors impacting metabolism in addition to estrogen. Limited studies examining body composition in POI have revealed conflicting data with some showing increasing adiposity, 40,41 while others did not. 42,43 Albeit, the common observation is that women who have early or premature menopause are at risk of losing bone and muscle mass culminating in increased fracture risk.…”

Section: Estrogen Action On Body Compositionmentioning

confidence: 99%

Musculoskeletal Health in Premature Ovarian Insufficiency. Part One: Muscle

et al. 2020

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Accelerated bone loss and muscle decline coexist in women with premature ovarian insufficiency (POI), but there are significant gaps in our understanding of musculoskeletal health in POI. This article is the first of a two-part review which describes estrogen signaling in muscle and its role in musculoskeletal health and disease. Current evidence regarding the utility of available diagnostic tests and therapeutic options is also discussed. A literature review from January 2000 to March 2020 was conducted to identify relevant studies. Women with POI experience significant deterioration in musculoskeletal health due to the loss of protective effects of estrogen. In addition to bone loss, muscle decay and dysfunction is now increasingly recognized. Nevertheless, there is a paucity of validated tools to assess muscle parameters. There is a growing need to acknowledge bone–muscle codependence to design new therapies which target both muscle and bone, resulting in improved physical performance and reduced morbidity and mortality. More high-quality research and international collaborations are needed to address the deficiencies in our understanding and management of musculoskeletal health in women with POI.

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“…Los avances que se han realizado en materia de antropometría han permitido plantear nuevas fórmulas que permitan generar patrones de distribución de la grasa corporal como comportamental que ayuden a identificar con precisión dicha problemática (Álvarez-Nava et al, 2019), (Qing, Wei, Chan, Xiaoya, & Xin, 2017). Dichas fórmulas se relacionan con los índices de adiposidad corporal, índices de conicidad, índice de volumen abdominal y el índice CUN-BAE.…”

Section: Introductionunclassified

Estimación de la Obesidad a partir de índices de adiposidad en Universitarios de Popayán, Colombia (Estimation of obesity from adiposity indexes in university students of Popayán, Colombia)

2021

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La obesidad es una patología que afecta las condiciones de salud y obliga a una detección temprana y a la utilización de herramientas estandarizadas y objetivas para su prevención como diagnóstico en pro de la salud. En este artículo se buscó identificar la sensibilidad de los diferentes índices de adiposidad en una población de estudiantes universitarios de la Ciudad de Popayán, Colombia. El estudio fue de carácter transversal, de tipo descriptivo correlacional, realizado en una muestra de 1420 estudiantes universitarios, cuyas variables fueron: índice de masa corporal, perímetro de cintura, cadera e índices de adiposidad corporal, volumen corporal, conicidad e índice CUN-BAE, aplicando estadísticos de correlación de Pearson (p<.05); el rendimiento predictivo de los indicadores antropométricos se determinó utilizando la curva de características operativas del receptor. Se encontró que los estudiantes universitarios registraron valores de normalidad para el índice de masa corporal, sin riesgo cardiovascular a pesar de presentar una distribución de grasa androide confirmado desde el índice de conicidad y adiposidad corporal, se mostraron correlaciones significativas entre el perímetro de cintura con los índices propuestos (p=.000); el análisis de la curva de características operativas del receptor indicó que los índices de adiposidad, volumen corporal, conicidad y CUN-BAE tuvieron un buen rendimiento a diferencia de los trabajados en la práctica diaria. Se concluyó que los índices de adiposidad son una herramienta con buena sensibilidad y correlación para determinar la distribución como localización de los depósitos de grasa, a bajo costo y con mayor sensibilidad diagnóstica, lo que podría suplir en precisión al Índice de masa corporal en población universitaria. === Obesity is a pathology that affects health conditions, which forces an early detection and the use of standardized and objective tools allows its prevention as a pro-health diagnosis, where we sought to identify the sensitivity of different rates of adiposity in a population of university students in the city of Popayan, Colombia. The study was of cross-sectional character, of correlational descriptive type, carried out in a sample of 1420 university students, whose variables were: body mass index, waist and hip perimeter and body adiposity index, body volume, conicity and CUN-BAE index, applying Pearson’s correlation statistics (p<.05), the predictive performance of the anthropometric indicators was determined using the receiver’s operating characteristics curve. It was found that university students recorded normal values for the body mass index, without cardiovascular risk in spite of presenting a distribution of android fat confirmed from the index of conicity and body adiposity, significant correlations were shown between the waist circumference with the proposed indexes (p=.000), the analysis of the receiver operating characteristics curve indicated that the indexes of adiposity, body volume, conicity and CUN-BAE had a good performance unlike those worked in daily practice. Concluding that the adiposity indexes are a tool with good sensitivity and correlation to determine the distribution as location of fat deposits, at low cost and with greater diagnostic sensitivity, which could supply in precision to the body mass index in university population.

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<p>Anthropometric variables as cardiovascular risk predictors in a cohort of adult subjects with Turner syndrome</p>

Cited by 16 publications

References 38 publications

Insulin Sensitivity and Pancreatic β-Cell Function in Ecuadorian Women With Turner Syndrome

Insulin Sensitivity and Pancreatic β-Cell Function in Ecuadorian Women With Turner Syndrome

Musculoskeletal Health in Premature Ovarian Insufficiency. Part One: Muscle

Estimación de la Obesidad a partir de índices de adiposidad en Universitarios de Popayán, Colombia (Estimation of obesity from adiposity indexes in university students of Popayán, Colombia)

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