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Sökning: WFRF:(Sanchez Maria Jose) > (2020) > Linköpings universitet

  • Resultat 1-3 av 3
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1.
  • Arias Tellez, Maria Jose, et al. (författare)
  • Association of Neck Circumference with Anthropometric Indicators and Body Composition Measured by DXA in Young Spanish Adults
  • 2020
  • Ingår i: Nutrients. - : MDPI. - 2072-6643. ; 12:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Due to a clinical and public health interest of neck circumference (NC), a better understanding of this simple anthropometric measurement, as a valid marker of body composition is necessary. Methods: A total of 119 young healthy adults participated in this study. NC was measured over the thyroid cartilage and perpendicular to the longitudinal axis of the neck. Body weight, height, waist circumference (WC), and hip circumference were measured. A Dual X-ray absorptiometry (DXA) scan was used to determine fat mass, lean mass, and visceral adipose tissue (VAT). Additionally, body mass index (BMI) and triponderal mass index (TMI), the waist to hip and waist to height ratios, and the fat mass and lean mass indexes (FMI and LMI, respectively) were calculated. Results: NC was positively associated in women (W) and men (M), with BMI (rW = 0.70 and rM = 0.84, respectively), TMI (rW = 0.63 and rM = 0.80, respectively), WC (rW = 0.75 and rM = 0.86, respectively), VAT (rW = 0.74 and rM = 0.82, respectively), Waist/hip (rW = 0.51 and rM = 0.67, respectively), Waist/height (rW = 0.68 and rM = 0.83, respectively) and FMI (rW = 0.61 and rM = 0.81, respectively). The association between NC and indicators of body composition was however weaker than that observed by BMI, TMI, WC and Waist/height in both women and men. It is of note that in women, NC was associated with FMI, VAT and LMI independently of BMI. In men, adding NC to anthropometric variables did not improve the prediction of body composition, while slight improvements were observed in women. Conclusions: Taken together, the present study provides no indication for NC as a useful proxy of body composition parameters in young adults, yet future studies should explore its usefulness as a measure to use in combination with BMI, especially in women.
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2.
  • Cadenas-Sanchez, Cristina, et al. (författare)
  • Fitness, physical activity and academic achievement in overweight/obese children
  • 2020
  • Ingår i: Journal of Sports Sciences. - : TAYLOR & FRANCIS LTD. - 0264-0414 .- 1466-447X. ; 38:7, s. 731-740
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this study was to examine the associations of fitness and physical activity with academic achievement in children with overweight/obesity. A total of 106 (10.0 +/- 1.1y, 61 boys) children participated. The fitness components were assessed by field and laboratory-based tests. Physical activity was measured via accelerometry. The academic achievement was assessed by a standardised test and school-grades. Field-based cardiorespiratory fitness was associated with language skills (ss-standardised- ranging from 0.281 to 0.365, p amp;lt; 0.01). The field-based muscular strength was associated with grade point average, natural and social sciences, and foreign language (ss = 0.280-0.326, all p amp;lt;= 0.01). Speed-agility was associated with some language-related skills (ss = 0.325-0.393, all p amp;lt;= 0.01). The laboratory-based muscular strength also showed an association with mathematics skills (ss = 0.251-0.306, all p amp;lt;= 0.01). Physical activity did not show significant association with academic achievement (p amp;gt; 0.01). Overall, the significant associations observed for muscular strength and speed/agility were attenuated and disappeared in many cases after additional adjustments for body mass index and cardiorespiratory fitness, indicating that these associations are inter-dependent. Our study contributes by indicating that other fitness components apart from cardiorespiratory fitness, such as muscular strength and speed-agility, are positively associated with academic achievement. However, these associations appear to be dependent on body mass index and cardiorespiratory fitness.
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3.
  • Sanchez, Jose Carlos Gonzalez, et al. (författare)
  • Segmentation of bones in medical dual-energy computed tomography volumes using the 3D U-Net
  • 2020
  • Ingår i: Physica medica (Testo stampato). - : Elsevier. - 1120-1797 .- 1724-191X. ; 69, s. 241-247
  • Tidskriftsartikel (refereegranskat)abstract
    • Deep learning algorithms have improved the speed and quality of segmentation for certain tasks in medical imaging. The aim of this work is to design and evaluate an algorithm capable of segmenting bones in dual-energy CT data sets. A convolutional neural network based on the 3D U-Net architecture was implemented and evaluated using high tube voltage images, mixed images and dual-energy images from 30 patients. The network performed well on all the data sets; the mean Dice coefficient for the test data was larger than 0.963. Of special interest is that it performed better on dual-energy CT volumes compared to mixed images that mimicked images taken at 120 kV. The corresponding increase in the Dice coefficient from 0.965 to 0.966 was small since the enhancements were mainly at the edges of the bones. The method can easily be extended to the segmentation of multi-energy CT data.
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  • Resultat 1-3 av 3

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