2015
DOI: 10.1111/ijpo.12056
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Single and combined effects of body composition phenotypes on carotid intima‐media thickness

Abstract: Combination of total and central measures of fat does not improve the prediction of increased cIMT in children. Simple surrogate measures of fatness can be used to predict increased cIMT urging special attention to those children who exhibit increased abdominal fat.

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Cited by 6 publications
(6 citation statements)
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“…Increased cIMT has been reported in children with traditional CV risk factors, such as obesity, hypertension, and chronic kidney disease. [28][29][30][31] Contrary to a previous study showing lack of association between cIMT and BMI in healthy children less than 15 years of age, 27 we observed an association between cIMT and both BMI and CV risk cluster score. While the association with BMI was stronger in adolescents (age [12][13][14][15][16][17][18] than in young children, cIMT showed stronger association with the CV risk score in younger children (age 6-11).…”
Section: Discussioncontrasting
confidence: 98%
“…Increased cIMT has been reported in children with traditional CV risk factors, such as obesity, hypertension, and chronic kidney disease. [28][29][30][31] Contrary to a previous study showing lack of association between cIMT and BMI in healthy children less than 15 years of age, 27 we observed an association between cIMT and both BMI and CV risk cluster score. While the association with BMI was stronger in adolescents (age [12][13][14][15][16][17][18] than in young children, cIMT showed stronger association with the CV risk score in younger children (age 6-11).…”
Section: Discussioncontrasting
confidence: 98%
“…32 Also, the strong associations between BMI, FM, WHR, and WC may account for their predictive capacity, and combining them may account for the absence of additional information. 36 Findings of the current study show an association between FFM and cIMT among the study group. This is similar to what has been found in other reports.…”
Section: Discussionsupporting
confidence: 48%
“…32 Also, the strong associations between BMI, FM, WHR, and WC may account for their predictive capacity, and combining them may account for the absence of additional information. 36…”
Section: Discussionmentioning
confidence: 99%
“…WC has proven to be effective for estimating total adiposity, and has been validated against various other body composition methods, including skin fold , bioelectrical impedance , air displacement plethysmography , and dual x‐ray absorptiometry . Furthermore, the role of WC as an indicator of risk has been evaluated in several pathological conditions and physiological markers such as hypertension and cardiometabolic risk , nonalcoholic fatty liver disease , 25‐hydroxyvitamin D , adipokines , serum uric acid , intimae media thickness , C‐reactive protein, homocysteine and cysteine . Evidently, WC is of great utility and relevance in clinical and research settings.…”
Section: Introductionmentioning
confidence: 99%