Publications by authors named "S Czerwinski"

Background: Most body composition research in individuals with Down Syndrome (DS) has focused on overweight and obesity. Although limited research has shown muscle mass indexes and physical performance levels of adults with DS are similar to or lower than older adults with sarcopenia, there is still a large gap in the literature regarding sarcopenia.

Objective: This brief report provides a comprehensive descriptive analysis of sarcopenia and obesity markers in individuals with DS.

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This study concerned high-resolution age reconstructions of modern organic deposits collected from peatlands distributed in Central Europe. The main focus was on Pb radioisotope as a fundamental geochronometer along with C and Pu radioisotopes used for dating verification. In addition to simple classical models such as CF/CS or CF, the new approach formulated upon the Plum method was implemented.

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Background: Problematic overstudying is a compulsive and pathological overinvolvement in studying leading to harm and considerable functional impairments. It is conceptualized as "study addiction," a precursor to work addiction. It has been investigated within the addictive behaviours framework in general populations of students for over a decade.

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Background & Aims: Muscle quality index (MQI) can be computed in various ways. Also, many studies have evaluated MQI in older adults and non-Hispanic populations. The aim of this study was to compare various muscle quality indexes between Hispanics and non-Hispanic Caucasians when stratifying grip strength and appendicular lean mass measurements.

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The purpose of this study was to compare single- and multi-frequency bioimpedance (BIA) devices against dual-energy X-ray absorptiometry (DXA) for appendicular lean mass (ALM) and muscle quality index (MQI) metrics in Hispanic adults. One hundred thirty-one Hispanic adults (18-55 years) participated in this study. ALM was measured with single-frequency bioimpedance analysis (SFBIA), multi-frequency bioimpedance analysis (MFBIA) and DXA.

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