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Routine clinical measures of adiposity as predictors of visceral fat in adolescence: a population-based magnetic resonance imaging study.

Goodwin K, Syme C, Abrahamowicz M, Leonard GT, Richer L, Perron M, Veillette S, Gaudet D, Paus T, Pausova Z - PLoS ONE (2013)

Bottom Line: Relationships of BMI and waist with VF and SF were tested in multivariable analyses, which adjusted for potentially confounding effects of age and height.Further longitudinal studies are required to assess how well these measures predict changes of VF and SF over time.Given the clinical importance of VF, development of cost-effective imaging techniques and/or robust biomarkers of VF accumulation that would be suitable in everyday clinical practice is warranted.

View Article: PubMed Central - PubMed

Affiliation: Hospital for Sick Children, University of Toronto, Toronto, Canada.

ABSTRACT

Objective: Visceral fat (VF) increases cardiometabolic risk more than fat stored subcutaneously. Here, we investigated how well routine clinical measures of adiposity, namely body mass index (BMI) and waist circumference (waist), predict VF and subcutaneous fat (SF) in a large population-based sample of adolescents. As body-fat distribution differs between males and females, we performed these analyses separately in each sex.

Design and methods: VF and SF were measured by magnetic resonance imaging in 1,002 adolescents (482 males, age 12-18 years). Relationships of BMI and waist with VF and SF were tested in multivariable analyses, which adjusted for potentially confounding effects of age and height.

Results: In both males and females, BMI and waist were highly correlated with VF and SF, and explained 55-76% of their total variance. When VF was adjusted for SF, however, BMI and waist explained, respectively, only 0% and 4% of VF variance in males, and 4% and 11% of VF variance in females. In contrast, when SF was adjusted for VF, BMI and waist explained, respectively, 36% and 21% of SF variance in males, and 48% and 23% of SF variance in females. These relationships were similar during early and late puberty.

Conclusions and relevance: During adolescence, routine clinical measures of adiposity predict well SF but not VF. This holds for both sexes and throughout puberty. Further longitudinal studies are required to assess how well these measures predict changes of VF and SF over time. Given the clinical importance of VF, development of cost-effective imaging techniques and/or robust biomarkers of VF accumulation that would be suitable in everyday clinical practice is warranted.

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Related in: MedlinePlus

BMI and waist circumference as predictors of VF- and SF-specific quantities (VF and SF adjusted for each other).Multivariate linear regression models examining the relationships of BMI and waist circumference with each VF and SF (while adjusting for each other) are shown in adolescent males and females. All relationships were also adjusted for potentially confounding effects of age and height when appropriate.
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pone-0079896-g002: BMI and waist circumference as predictors of VF- and SF-specific quantities (VF and SF adjusted for each other).Multivariate linear regression models examining the relationships of BMI and waist circumference with each VF and SF (while adjusting for each other) are shown in adolescent males and females. All relationships were also adjusted for potentially confounding effects of age and height when appropriate.

Mentions: However, in the models predicting VF adjusted for SF, BMI and waist explained, respectively, only 0% (p=0.69) and 4% (p<0.0001) of VF variance (in males); similarly in females, BMI and waist explained, respectively, just 4% (p<0.0001) and 11% (p<0.0001) of VF variance (Figure 2). In contrast, in the models predicting SF adjusted for VF, BMI and waist explained, respectively, substantial proportions of SF variance - 36% (p<0.0001) and 21% (p<0.0001) in males and 48% (p<0.0001) and 23% (p<0.0001) in females (Figure 2). In other words, among both males and females with the same SF, BMI and waist did not relate to VF but, among adolescents with the same VF, these two measures did relate well to SF.


Routine clinical measures of adiposity as predictors of visceral fat in adolescence: a population-based magnetic resonance imaging study.

Goodwin K, Syme C, Abrahamowicz M, Leonard GT, Richer L, Perron M, Veillette S, Gaudet D, Paus T, Pausova Z - PLoS ONE (2013)

BMI and waist circumference as predictors of VF- and SF-specific quantities (VF and SF adjusted for each other).Multivariate linear regression models examining the relationships of BMI and waist circumference with each VF and SF (while adjusting for each other) are shown in adolescent males and females. All relationships were also adjusted for potentially confounding effects of age and height when appropriate.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3823587&req=5

pone-0079896-g002: BMI and waist circumference as predictors of VF- and SF-specific quantities (VF and SF adjusted for each other).Multivariate linear regression models examining the relationships of BMI and waist circumference with each VF and SF (while adjusting for each other) are shown in adolescent males and females. All relationships were also adjusted for potentially confounding effects of age and height when appropriate.
Mentions: However, in the models predicting VF adjusted for SF, BMI and waist explained, respectively, only 0% (p=0.69) and 4% (p<0.0001) of VF variance (in males); similarly in females, BMI and waist explained, respectively, just 4% (p<0.0001) and 11% (p<0.0001) of VF variance (Figure 2). In contrast, in the models predicting SF adjusted for VF, BMI and waist explained, respectively, substantial proportions of SF variance - 36% (p<0.0001) and 21% (p<0.0001) in males and 48% (p<0.0001) and 23% (p<0.0001) in females (Figure 2). In other words, among both males and females with the same SF, BMI and waist did not relate to VF but, among adolescents with the same VF, these two measures did relate well to SF.

Bottom Line: Relationships of BMI and waist with VF and SF were tested in multivariable analyses, which adjusted for potentially confounding effects of age and height.Further longitudinal studies are required to assess how well these measures predict changes of VF and SF over time.Given the clinical importance of VF, development of cost-effective imaging techniques and/or robust biomarkers of VF accumulation that would be suitable in everyday clinical practice is warranted.

View Article: PubMed Central - PubMed

Affiliation: Hospital for Sick Children, University of Toronto, Toronto, Canada.

ABSTRACT

Objective: Visceral fat (VF) increases cardiometabolic risk more than fat stored subcutaneously. Here, we investigated how well routine clinical measures of adiposity, namely body mass index (BMI) and waist circumference (waist), predict VF and subcutaneous fat (SF) in a large population-based sample of adolescents. As body-fat distribution differs between males and females, we performed these analyses separately in each sex.

Design and methods: VF and SF were measured by magnetic resonance imaging in 1,002 adolescents (482 males, age 12-18 years). Relationships of BMI and waist with VF and SF were tested in multivariable analyses, which adjusted for potentially confounding effects of age and height.

Results: In both males and females, BMI and waist were highly correlated with VF and SF, and explained 55-76% of their total variance. When VF was adjusted for SF, however, BMI and waist explained, respectively, only 0% and 4% of VF variance in males, and 4% and 11% of VF variance in females. In contrast, when SF was adjusted for VF, BMI and waist explained, respectively, 36% and 21% of SF variance in males, and 48% and 23% of SF variance in females. These relationships were similar during early and late puberty.

Conclusions and relevance: During adolescence, routine clinical measures of adiposity predict well SF but not VF. This holds for both sexes and throughout puberty. Further longitudinal studies are required to assess how well these measures predict changes of VF and SF over time. Given the clinical importance of VF, development of cost-effective imaging techniques and/or robust biomarkers of VF accumulation that would be suitable in everyday clinical practice is warranted.

Show MeSH
Related in: MedlinePlus