The Official Positions of the International Society for Clinical Densitometry: Body Composition Analysis Reporting

Petak, Steven M.; Barbu, Carmen; Yu, Elaine W.; Fielding, Roger A.; Mulligan, Kathleen; Sabowitz, Brian; Wu, Chih Hsing; Shepherd, John

doi:10.1016/j.jocd.2013.08.018

Cited by 123 publications

(102 citation statements)

References 86 publications

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“…Constructed appropriately, body composition analysis could inform those at risk of aberrant body composition-related disease [31]. Recognising the limitation of an analysis of a convenience sample of the population, these data support the recommendation to generate an age and sex-specific body composition phenotype to identify the malleable range within which appropriate intervention can minimise the risk to later health and decline in functional capacity in support of healthy ageing [32].…”

Section: Discussionmentioning

confidence: 77%

The body composition phenotype of Irish adults aged 18–81 years

et al. 2015

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Section: Discussionmentioning

confidence: 77%

The body composition phenotype of Irish adults aged 18–81 years

et al. 2015

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“…Other evaluated parameters were fat mass, total lean mass and A/G rate. Adequate position of the patient at the scanner table, proper hydration status, fasting for solids and light clothing were observed (15).…”

Section: Data Collectionmentioning

confidence: 99%

Low testosterone levels are associated with endothelial dysfunction in oophorectomized early postmenopausal women

Rech

Clapauch

Souza

2016

European Journal of Endocrinology

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Background: The actual consequences of low testosterone levels in women remain uncertain. Objective: To assess endogenous testosterone influence on body composition, vascular and metabolic function in recent postmenopausal women. Design: We studied 81 postmenopausal women under transdermal estradiol (E 2 ) replacement therapy, 36 with bilateral oophorectomy (group O), and 45 controls (group C) through venous occlusion plethysmography, bioimpedance, DEXA, biochemical, hormonal, and inflammatory profile. Results: Total testosterone level (TT) in group O was 11.0 (4.0-17.75) vs 23.0 (10.0-42.5) ng/dl in group C (PZ0.001). Forearm blood flow, in ml/min/100 ml tissue, was lower in group O compared to group C at baseline (1.57 (1.05-2.47) vs 2.19 (1.59-2.66) PZ0.036), following reactive hyperemia response (endothelium-dependent flow mediated dilatation, 3.44 (2.38-4.35) vs 4.3 (3.09-5.52), PZ0.031) and following nitroglycerin (endothelium-independent dilation, 1.39 (0.99-1.7) vs 1.76 (1.15-2.0), PZ0.025), with a positive correlation between TT and all parameters except for the reactive hyperemia response (rZ0.233-0.312, PZ0.036-0.004). The sVCAM1 levels were negatively correlated with TT (rZ-0.320, PZ0.005). E 2 and other hormone levels, biochemical parameters and body composition did not differ between groups. Multiple linear regressions showed that the levels of TT, compared with other confounding variables, may explain the variation observed on endothelial parameters, with low explanatory power. Conclusion: The absence of ovarian testosterone production in recent postmenopausal oophorectomized women was associated with deleterious effects on endothelial function.

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“…In general, the appendicular muscle mass index has been proven to be a good predictor of disability and mortality (28). The predictive error in the leg of postmenopausal women is a demerit for the appendicular muscle mass index; however, total LSTM index had also been cross-sectionally associated with certain pathologic statuses, such as low bone density, polycystic ovarian syndrome, chronic kidney disease, pulmonary conditions, and increased mortality in hemodialysis patients (4e7).…”

Section: Discussionmentioning

confidence: 99%