scholarly journals Measurement Site and the Association Between Visceral and Abdominal Subcutaneous Adipose Tissue With Metabolic Risk in Women

Obesity ◽  
2010 ◽  
Vol 18 (7) ◽  
pp. 1336-1340 ◽  
Author(s):  
Jennifer L. Kuk ◽  
Timothy S. Church ◽  
Steven N. Blair ◽  
Robert Ross
Keyword(s):  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Risk ◽  
Measurement Site ◽  
Subcutaneous Adipose

scholarly journals Impacts of Visceral Adipose Tissue and Subcutaneous Adipose Tissue on Metabolic Risk Factors in Middle-aged Japanese

Obesity ◽  
2010 ◽  
Vol 18 (1) ◽  
pp. 153-160 ◽  
Author(s):  
Rie Oka ◽  
Katsuyuki Miura ◽  
Masaru Sakurai ◽  
Koshi Nakamura ◽  
Kunimasa Yagi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Middle Aged ◽  
Visceral Adipose ◽  
Subcutaneous Adipose

Metabolic Risk Factors Associated with Visceral and Subcutaneous Adipose Tissue in a Sex‐Specific Manner in Seven‐Year‐Olds

Obesity ◽  
2019 ◽  
Vol 27 (6) ◽  
pp. 982-988
Author(s):  
Emma Kjellberg ◽  
Josefine Roswall ◽  
Jonathan Andersson ◽  
Stefan Bergman ◽  
Ann‐Katrine Karlsson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Factors Associated ◽  
Specific Manner ◽  
Subcutaneous Adipose

scholarly journals Expression of the selenoprotein S (SELS) gene in subcutaneous adipose tissue and SELS genotype are associated with metabolic risk factors

Metabolism ◽  
2011 ◽  
Vol 60 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Maja Olsson ◽  
Bob Olsson ◽  
Peter Jacobson ◽  
Dag S. Thelle ◽  
Johan Björkegren ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Selenoprotein S ◽  
Subcutaneous Adipose

scholarly journals Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults

Obesity ◽  
2013 ◽  
Vol 21 (9) ◽  
pp. E439-E447 ◽  
Author(s):  
Ian J. Neeland ◽  
Colby R. Ayers ◽  
Anand K. Rohatgi ◽  
Aslan T. Turer ◽  
Jarett D. Berry ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Risk ◽  
Obese Adults ◽  
Subcutaneous Adipose

scholarly journals Subcutaneous Adipose Tissue Measured by B-Mode Ultrasound to Assess and Monitor Obesity and Cardio–Metabolic Risk in Children and Adolescents

Biology ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 449
Author(s):  
Karin Schmid-Zalaudek ◽  
Bianca Brix ◽  
Marietta Sengeis ◽  
Andreas Jantscher ◽  
Alfred Fürhapter-Rieger ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Children And Adolescents ◽  
Subcutaneous Adipose Tissue ◽  
Metabolic Diseases ◽  
Overweight And Obesity ◽  
Poor Correlation ◽  
Metabolic Risk ◽  
Cross Sectional ◽  
Relative Body Weight ◽  
Subcutaneous Adipose

Monitoring of children at heightened risk of cardio–metabolic diseases raises the need for accurate assessment of obesity. A standardized approach for measuring subcutaneous adipose tissue (SAT) by bright-mode ultrasound was evaluated in relation to body indices and anthropometry in a cross-sectional sample of 76 South African children (7–10 years) and 86 adolescents (13–17 years) to assess cardio–metabolic risk. SAT was higher in girls as compared to boys (children: 50.0 ± 21.7 mm > 34.42 ± 15.8 mm, adolescents: 140.9 ± 59.4 mm > 79.5 ± 75.6 mm, p < 0.001) and up to four times higher in adolescents than in children. In children, measures of relative body weight showed only a poor correlation to SAT (BMI: r = 0.607, p < 0.001), while in adolescents, BMI correlated high with SAT (r = 0.906, p < 0.001) based on high rates of overweight and obesity (41.8%). Children with identical BMIs may have large differences (>2–3-fold) in their amount of SAT. The moderate association to systolic (r = 0.534, r = 0.550, p < 0.001) and diastolic blood pressure (r = 0.402, r = 0.262, p < 0.001) further substantiates that SAT measured by ultrasound provides an accurate, safe and easy applicable approach for monitoring in children and adolescents at cardio–metabolic risk.

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