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Grant M. Tinsley
Texas Tech University
59Publications
7H-index
258Citations
Publications 66
Newest
Abstract The validity of dual-energy x-ray absorptiometry (DXA) and multi-frequency bioelectrical impedance analysis (MFBIA) for detecting changes in fat mass (FM), fat-free mass (FFM), and body fat percentage (BF%) was evaluated, as compared to a rapid 4-component (4C) model, in 31 females completing 8 weeks of resistance training. Analyses were performed in all participants (ALL) and in subgroups that gained FFM but lost FM (R subgroup) or gained both FFM and FM (G subgroup). It was hypothesiz...
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Summary Background and Aims Segmental estimates add specificity to body composition evaluation and could potentially have greater health and function implications than whole-body estimates alone. The aim of this study was to quantify the level of agreement between total and segmental fat mass (FM) and lean soft tissue (LST) estimates from dual-energy x-ray absorptiometry (DXA) and single-frequency bioelectrical impedance analysis (SFBIA). Methods Assessments via DXA (GE® Lunar Prodigy) and SFBIA...
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A limited amount of research has demonstrated beneficial effects of caffeine and theanine supplementation for enhancement of mental performance. The purpose of this investigation was to determine whether the acute ingestion of a supplement containing caffeine, theanine and tyrosine improves mental and physical performance in athletes. Twenty current or former male collegiate athletes (age: 20.5 ± 1.4 y; height: 1.82 ± 0.08 m; weight: 83.9 ± 12.6 kg; body fat: 13.8 ± 5.6%) completed this randomiz...
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Raw bioelectrical values can be used to assess physiological outcomes, though limited information is available concerning the relationships between changes in these values and changes in other variables of interest. This investigation quantified the relationships between total and segmental changes in raw bioelectrical variables (i.e., resistance, reactance, and phase angle) and corresponding whole-body and segmental changes in independently assessed body composition. Resistance-trained females ...
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Digital anthropometry is increasingly accessible due to commercial availability of three-dimensional optical scanners (3DO). One hundred and seventy-nine participants were assessed by four 3DO systems (FIT3D®, Size Stream®, Styku®, and Naked Labs®) in duplicate, air displacement plethysmography (ADP), and dual-energy x-ray absorptiometry (DXA). Test–retest precision was evaluated, and validity of total and regional volumes was established. All scanners produced precise estimates, with root mean ...
1 CitationsSource
#1Grant M. Tinsley (TTU: Texas Tech University)H-Index: 7
#2Stacie Urbina (University of Mary Hardin–Baylor)H-Index: 6
Last.Lem Taylor (University of Mary Hardin–Baylor)H-Index: 15
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ABSTRACTNumerous popular “detoxification” supplements claim to promote the removal of harmful compounds from the body, thereby alleviating gastrointestinal symptoms, improving body composition, and...
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#1Grant M. TinsleyH-Index: 7
#2Antonio PaoliH-Index: 24
1 CitationsSource
#1Michael V. Fedewa (UA: University of Alabama)H-Index: 8
#2Brett S. Nickerson (TAMIU: Texas A&M International University)H-Index: 5
Last.Ricardo M. DeLeon (UA: University of Alabama)
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ABSTRACT Background The Brozek and Siri formulas estimate relative adiposity (%Fat) from total body density (Db) using a 2-compartment (2C) model. Racial/ethnic differences in Db have been reported, along with subsequent errors in estimated %Fat. Objective The primary aim of this systematic review and meta-analysis was to examine potential race/ethnic differences in the accuracy of the Brozek and Siri 2C formulas using aggregate-level data. Methods Peer-reviewed studies available in English that...
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#1Grant M. Tinsley (TTU: Texas Tech University)H-Index: 7
#2M. Lane Moore (TTU: Texas Tech University)H-Index: 1
Last.Megan R. Cruz (TTU: Texas Tech University)H-Index: 1
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3 CitationsSource
#1Grant M. Tinsley (TTU: Texas Tech University)H-Index: 7
#2M. Lane Moore (TTU: Texas Tech University)H-Index: 1
Last.Luís B. Sardinha (University of Lisbon)H-Index: 54
view all 4 authors...
The use of raw bioelectrical variables, such as resistance (R), reactance (Xc), and phase angle (φ), has been advocated for evaluating physiological changes. Before and after 8 weeks of resistance training, adult females were assessed via multifrequency bioelectrical impedance analysis (MFBIA; Seca® mBCA 515/514) and bioimpedance spectroscopy (BIS; ImpediMed® SFB7). Data were analyzed to determine whether cross-sectional estimates and changes (i.e., Δ scores) of R, Xc, and φ differed between dev...
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