electronic scale with an integrated stadiometer seca 796 hamburg (Seca)
90
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Seca
electronic scale with an integrated stadiometer seca 796 hamburg
Electronic Scale With An Integrated Stadiometer Seca 796 Hamburg, supplied by Seca, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/electronic+scale+with+an+integrated+stadiometer+seca+796+hamburg/stadiometer+seca/10__1017_slash_s0007114525000510-53-23-24
Average 90 stars, based on 1 article reviews
Electronic Scale With An Integrated Stadiometer Seca 796 Hamburg, supplied by Seca, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/electronic+scale+with+an+integrated+stadiometer+seca+796+hamburg/stadiometer+seca/10__1017_slash_s0007114525000510-53-23-24
Average 90 stars, based on 1 article reviews
electronic scale with an integrated stadiometer seca 796 hamburg - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Regional fat mass estimation using bioelectrical impedance analysis in healthy adults Article Snippet: Whole-body and regional raw bioelectrical impedance analysis (BIA) parameters have been used to develop lean soft tissue estimation prediction models.. Still, no regional fat mass (FM) assessment models have been provided.. Hence, we aimed to develop and validate BIAderived equations to predict regional FM against dual-energy X-ray absorptiometry (DXA) in healthy adults. Article Title: Development and validation of bioelectrical impedance prediction equations estimating regional lean soft tissue mass in middle-aged adults. Article Snippet: BACKGROUND/OBJECTIVES: Bioelectrical impedance (BIA) whole-body and regional raw parameters have been used to develop prediction models to estimate whole-body lean soft tissue (LSTM), with less attention being given to the development of models for regional LSTM.. Therefore, we aimed to develop and validate BIA-derived equations predicting regional LSTM against dual x-ray absorptiometry (DXA) in healthy adults.. SUBJECTS/METHODS: 149 adults were included in this cross-sectional investigation. |