Accuracy, Reproducibility and Repeatability of Ultrasonography in the Assessment of Abdominal Adiposity

Bazzocchi, Alberto; Filonzi, Giacomo; Ponti, Federico; Sassi, Claudia; Salizzoni, Eugenio; Battista, Giuseppe; Canini, Romeo

doi:10.1016/j.acra.2011.04.014

Cited by 75 publications

(108 citation statements)

References 46 publications

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“…17 Both DXA and abdominal ultrasound have been validated against computed tomography. 16,31 The associations of adiposity levels with C-reactive protein levels may be confounded by various lifestylerelated variables. Although we adjusted the observational analyses Adiposity measures and C-reactive protein L Toemen et al for many potential covariates, they may still be influenced by residual confounding, as in every observational study.…”

Section: Methodological Considerationsmentioning

confidence: 99%

Cross-sectional population associations between detailed adiposity measures and C-reactive protein levels at age 6 years: the Generation R Study

et al. 2015

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Section: Methodological Considerationsmentioning

confidence: 99%

Cross-sectional population associations between detailed adiposity measures and C-reactive protein levels at age 6 years: the Generation R Study

et al. 2015

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“…Ultrasound is a reliable method to differentiate between the abdominal visceral and subcutaneous fat compartments, using an area measurement as a proxy for these fat compartments [39,40]. Both DXA and abdominal ultrasound have been validated against CT [39]. Finally, although we performed adjustment for a large number of potential maternal and childhood factors, residual confounding due to unmeasured energy balance-related factors might have still occurred, as in any observational study.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

“…DXA quantifies the fat content with high precision and has the capacity for regional analysis but cannot differentiate the amount visceral abdominal fat [13,14,39]. Ultrasound is a reliable method to differentiate between the abdominal visceral and subcutaneous fat compartments, using an area measurement as a proxy for these fat compartments [39,40]. Both DXA and abdominal ultrasound have been validated against CT [39].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Ethnic Disparities in General and Abdominal Adiposity at School Age: A Multiethnic Population-Based Cohort Study in The Netherlands

Gishti

Kruithof²,

Felix³

et al. 2014

Ann Nutr Metab

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Background/Aims: Ethnic differences in obesity prevalence have been reported. We examined ethnic differences in general and abdominal fat distribution in school-age children and the influence of parental prepregnancy, pregnancy, and childhood factors on these differences. Methods: We performed a multiethnic population-based prospective cohort study among 5,244 children with information about prepregnancy factors, pregnancy, and childhood factors. At the age of 6 years, the BMI, total fat mass, android/gynoid fat mass ratio, and preperitoneal fat mass were assessed via dual-energy X-ray absorptiometry and abdominal ultrasound. Results: The overweight and obesity prevalences among Dutch children were 10.0 and 2.1%, respectively. Higher prevalences were observed among Cape Verdean (21.0 and 10.3%), Dutch Antillean (18.4 and 13.8%), Moroccan (20.6 and 7.7%), Surinamese-Creole (13.4 and 7.7%), Surinamese-Hindustani (12.3 and 6.2%), and Turkish (23.8 and 12.0%) children. In the models adjusted for age and sex only, Moroccan, Surinamese-Hindustani, and Turkish children had a higher total fat mass than Dutch children, whereas Surinamese-Creole children had a lower total fat mass. Compared to Dutch children, the android/gynoid fat mass ratio was higher in Moroccan, Surinamese-Hindustani, and Turkish children, whereas the preperitoneal fat mass was higher among Dutch Antillean, Moroccan, Surinamese-Hindustani, and Turkish children (all p < 0.05). Prepregnancy factors explained up to 73% of these differences. In addition to prepregnancy factors, pregnancy factors explained up to 34% of the differences. Childhood factors did not significantly explain these associations. Conclusions: All ethnic minority groups had higher risks of overweight and obesity than Dutch children. Moroccan, Surinamese-Hindustani, and Turkish children also had an adverse body fat profile. Prepregnancy and pregnancy might be critical periods for preventive strategies focused on the reduction of ethnic disparities in childhood adiposity.

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“…[20][21][22] Maternal abdominal subcutaneous fat thickness can be used as a surrogate measure for central obesity and is readily and accurately measured by ultrasound, a quick, safe modality used routinely in pregnancy. [23][24][25][26][27][28] From a retrospective study there is some evidence that abdominal SFT at mid-pregnancy between 18 and 22 weeks' gestation is superior to BMI to identify risk for obesity-related pregnancy complications. 29 In this prospective longitudinal study we tested whether previous findings of SFT could be confirmed and in addition whether changing these parameters to early pregnancy between 11 and 14 weeks as well as mid-pregnancy would have additional predictive value.…”

Section: Introductionmentioning

confidence: 99%

Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study

Kennedy

Peek

et al. 2015

BJOG

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Objective To assess maternal abdominal subcutaneous fat thickness (SFT) measured by ultrasound as an independent predictor of adverse pregnancy outcomes.Design A prospective longitudinal cohort study performed on pregnancies delivered between 2012 and 2014.Setting Sydney, Australia.Population About 1510 pregnant women attending routine obstetric ultrasounds.Methods Maternal SFT was measured on routine ultrasounds at 11-14 weeks' gestation (SFT1) and 18-22 weeks' gestation (SFT2). SFT measurements were assessed for estimating risks for obesityrelated pregnancy outcomes using logistic regression modelling adjusted for maternal age, parity, smoking status and body mass index (BMI).Main outcome measures Hypertensive disease, gestational diabetes, caesarean section, low birthweight, preterm delivery, neonatal respiratory distress, Apgar scores, and admission to a neonatal intensive care unit.Results SFT1 and SFT2 were measured on 1461 and 1363 women, respectively. Mean thickness (range) were 21.2 mm (6.9-73.9) for SFT1 and 20.3 mm (7.5-68.0) for SFT2. Complete outcome data were available for 1385 pregnancies. In all, 54% of the women were overweight/obese. The SFT measures decreased from early to mid-pregnancy in overweight/obese women. There was moderate correlation between BMI and SFT1 (R 2 = 0.56) and BMI and SFT2 (R 2 = 0.55). In a multivariate model, SFT1 and SFT2 were better predictors for adverse pregnancy outcomes than BMI.Conclusion Maternal SFT is a significant independent predictor of adverse pregnancy outcomes. Incorporation of SFT into future models for adverse pregnancy outcome may prove valuable.

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Accuracy, Reproducibility and Repeatability of Ultrasonography in the Assessment of Abdominal Adiposity

Cited by 75 publications

References 46 publications

Cross-sectional population associations between detailed adiposity measures and C-reactive protein levels at age 6 years: the Generation R Study

Cross-sectional population associations between detailed adiposity measures and C-reactive protein levels at age 6 years: the Generation R Study

Ethnic Disparities in General and Abdominal Adiposity at School Age: A Multiethnic Population-Based Cohort Study in The Netherlands

Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study

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