Relationships between Body Fat Measured by DXA and Subcutaneous Adipose Tissue Thickness Measured by Lipometer in Adults

Jürimäe, Toivo; Jürimäe, Jaak; Wallner, Silvia; Lipp, Rainer W.; Schnedl, Wolfgang J.; Möller, Reinhard; Tafeit, Erwin

doi:10.2114/jpa2.26.513

Cited by 14 publications

(11 citation statements)

References 13 publications

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“…The thickness of subcutaneous adipose tissue was measured at six sites to the nearest 0.1 mm using a LIP-OMETER Ò as described by Jürimäe et al (2007). In order to detect an increase in the thickness of the subcutaneous adipose tissue due to a clinically visible or palpable oedema in the face and limbs, the thickness of subcutaneous adipose tissue at the right side of the body at arcus zygomaticus, the middle of os metacarpale III, at the margo medialis tibiae, one handbreadth above malleolus medialis, directly at malleolus medialis and at os cuneiforme mediale was measured.…”

Section: Measurements and Calculationsmentioning

confidence: 99%

“…Therefore, we assumed that measuring changes in limb volumes using plethysmography was an accurate method for the quantification of oedemas of the whole limb. The thickness of subcutaneous adipose tissue was measured using a LIPOMETER Ò as described by Jürimäe et al (2007). The LIPOMETER Ò is a non-invasive examination using infrared.…”

Section: Redistribution Of the Volumementioning

confidence: 99%

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Fluid intake and changes in limb volumes in male ultra-marathoners: does fluid overload lead to peripheral oedema?

et al. 2011

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An increase in body mass due to oedema has been previously described. The aim of this study was to investigate a potential association between both fluid and electrolyte intake and the formation of peripheral oedemas. Fluid and electrolyte intakes and the changes in limb volumes in 50 male 100-km ultra-marathoners were measured. Pre- and post-race serum sodium concentration ([Na(+)]), serum aldosterone concentration, serum copeptin concentration, serum and urine osmolality and body mass were determined. Fluid intake, renal function parameters and urinary output, as well as the changes of volume in the extremities, were measured. The changes of volume in the limbs were measured using plethysmography. Serum [Na(+)] increased by 1.6%; body mass decreased by 1.9 kg. Serum copeptin and aldosterone concentrations were increased. The change in serum copeptin concentration and the change in serum [Na(+)] correlated positively; the change in serum [Na(+)] and body mass correlated negatively. A mean fluid intake of 0.58 L/h was positively related to running speed and negatively to post-race serum [Na(+)]. Total fluid intake was positively related to the changes in both arm and lower leg volumes. Running speed was positively associated with the changes in arm and lower leg volumes; race time was related to the changes in serum copeptin or aldosterone concentrations. To conclude, fluid intake was related to the changes in limb volumes, where athletes with an increased fluid intake developed an increase in limb volumes.

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Section: Measurements and Calculationsmentioning

confidence: 99%

Section: Redistribution Of the Volumementioning

confidence: 99%

Fluid intake and changes in limb volumes in male ultra-marathoners: does fluid overload lead to peripheral oedema?

et al. 2011

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“…Calibration and evaluation were done using computed tomography, dual-energy X-ray absorptiometry (DXA), and bioelectrical impedance as the reference methods (21)(22)(23). SAT mass is calculated using the 15 SAT measuring points in consideration of height; visceral adipose tissue (VAT) mass is estimated; total fat mass is calculated as the sum of VAT mass and SAT mass; and total body fat (TBF) is estimated using SAT layers of triceps, back, lower abdomen, and front thigh representing different body regions (arms, legs, upper trunk, and lower trunk) as described previously (23,24). The lipometer system allows an excellent estimate of TBF when compared with conventional total body electrical conductivity measurements (24).…”

Section: Lipometrymentioning

confidence: 99%

Fatty liver index in polycystic ovary syndrome

Lerchbaum¹,

Gruber²,

Schwetz³

et al. 2011

European Journal of Endocrinology

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Introduction: Women with polycystic ovary syndrome (PCOS) frequently suffer from metabolic disturbances and might be affected by hepatic steatosis. The fatty liver index (FLI) was developed as a simple and accurate predictor of hepatic steatosis. We aimed to analyze the association of FLI with endocrine and metabolic parameters in a cohort of PCOS and control women. Methods: FLI was calculated using body mass index (BMI), waist circumference, triglycerides, and gamma-glutamyl transferase in 611 PCOS and 139 BMI-matched control women within the same age range. Elevated FLI was defined as O60. Metabolic, endocrine, and anthropometric measurements and oral glucose tolerance tests were performed. Results: PCOS women had significantly higher FLI levels than control women in age-adjusted analyses (11.4 (4.3-48.8) and 8.8 (3.9-35.0), respectively, PZ0.001), whereas fibrosis indices were similar (aspartate amino transferase-to-platelet ratio index) or lower (FIB-4) respectively. In binary logistic regression analysis adjusted for age, odds ratio (OR) for elevated FLI was 2.52 (1.31-4.85), PZ0.006, for PCOS women when compared with controls. PCOS women with high FLI levels had an adverse anthropometric, metabolic, and endocrine risk profile. The prevalence of elevated FLI was 88.7% in PCOS women with metabolic syndrome (MS) and 11.3% in PCOS women without MS (P!0.001). In control women, elevated FLI was present in 66.7% of women with MS and 30.8% of women without MS. Conclusion: High FLI levels are a common finding in obese PCOS women and are closely linked to MS. FLI calculation might be a useful tool for identifying PCOS patients at high risk for metabolic and hepatic disturbances.

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“…But accurate measures consequently demand precise techniques and instruments including quality control of their variables. There is no doubt that widely applicable descriptive field methods based on the simple available techniques remain important and useful (Heymsfield et al, 2000;Jürimäe et al, 2007) as long as we are aware that indices such as BMI, H/W ratio, and %AT formulae offer prediction or approximation values only (Clarys et al, 1987(Clarys et al, , 2005Marfell-Jones et al, 2003). The advantage of CT and MRI over earlier methods is the direct visualization of images depicting BC tissues in 3-dimensions or as and a cross-sectional area.…”

Section: Introductionmentioning

confidence: 99%

Quality Control, Accuracy, and Prediction Capacity of Dual Energy X-ray Absorptiometry Variables and Data Acquisition

Provyn

Clarys

Wallace

et al. 2008

J Physiol Anthropol

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The acquisition of soft tissue measurements, fat (chemical) or adipose tissue (morphological) quantities, is essential in clinical research and nutritional status and its associated health risks. This has led to a proliferation of methods for the in-vivo determination of body composition. None of the indirect in-vivo approaches to estimate body adipose tissue has been validated against direct dissection data except for the skinfold.Since the development of DEXA as a measurement tool of bone density and mineral content for the detection of osteoporosis, it became a tool for measuring regional and whole body masses, lean tissue, and fat. A number of validation attempts have been made, however mostly against other indirect in-vivo techniques.The purpose of this study was to conduct an in-vitro validation and quality control of the data acquisition of DEXA using dissection as the criterion method. Fourteen porcine hind legs were scanned with DEXA, weighed in air and water and dissected into skin, adipose tissue, muscle and bone. Normal distribution, means, standard deviations, paired student t-test, Pearson correlation coefficients, interclass correlations test, and a Bland-Altman plot were used. The results show systematically good to excellent correlations between DEXA and dissection data acquisition (r 2 ϭ0.75 to 0.99), but absolute indirect DEXA and direct dissection values are significantly different ( pϽ0.05). DEXA overestimates total weight, lean mass, and fat free mass and underestimates both mass and % adipose tissue.DEXA provides erroneous values for bone density. Data produced by DEXA are morphological, not chemical values, as claimed by the manufacturer.This 'pilot' study indicates that a 'simple' combination of skin, adipose tissue, muscle, and bone from hind legs may give an incomplete picture of reality as one needs to measure viscera, connective tissue, and air pockets of the body. Validation studies with intact bodies are advised.

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Relationships between Body Fat Measured by DXA and Subcutaneous Adipose Tissue Thickness Measured by Lipometer in Adults

Cited by 14 publications

References 13 publications

Fluid intake and changes in limb volumes in male ultra-marathoners: does fluid overload lead to peripheral oedema?

Fluid intake and changes in limb volumes in male ultra-marathoners: does fluid overload lead to peripheral oedema?

Fatty liver index in polycystic ovary syndrome

Quality Control, Accuracy, and Prediction Capacity of Dual Energy X-ray Absorptiometry Variables and Data Acquisition

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