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Nathan Daniell
University of South Australia
33Publications
8H-index
164Citations
Publications 33
Newest
#1Grant R. TomkinsonH-Index: 20
#2Kevin D Carver (UND: University of North Dakota)H-Index: 1
Last.Francisco B. OrtegaH-Index: 64
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Objective To develop sex-specific and age-specific normative values for the nine Eurofit tests in European children and adolescents aged 9–17 years. Methods A systematic review was undertaken to identify papers that explicitly reported descriptive results for at least one of nine Eurofit tests (measuring balance, muscular strength, muscular endurance, muscular power, flexibility, speed, speed-agility and cardiorespiratory fitness (CRF)) on children and adolescents. Data were included on apparent...
#1Grant R. Tomkinson (UND: University of North Dakota)H-Index: 20
#2Nathan Daniell (UniSA: University of South Australia)H-Index: 8
Last.Alistair FurnellH-Index: 2
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Abstract The aim of this study was to quantify time changes in the body dimensions of male Australian Army personnel. Following a systematic review, two studies were identified and matched for occupation and age ( n = 669) with time changes in 12 absolute and 11 proportional body dimensions assessed between 1977 and 2010–12. Changes in means were expressed as absolute, percent and standardised changes, with changes in variability assessed visually and as the ratio of coefficients of variation (C...
#1Nathan Daniell (UniSA: University of South Australia)H-Index: 8
#2Simon Merrett (UniSA: University of South Australia)H-Index: 1
Last.Gunther Paul (QUT: Queensland University of Technology)H-Index: 10
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Battery powered bed movers are becoming increasingly common within the hospital setting. The use of powered bed movers is believed to result in reduced physical efforts required by health care workers, which may be associated with a decreased risk of occupation related injuries. However, little work has been conducted assessing how powered bed movers impact on levels of physiological strain and muscle activation for the user. The muscular efforts associated with moving hospital beds using three ...
#1Nathan Daniell (UniSA: University of South Australia)H-Index: 8
#2Tim Olds (UniSA: University of South Australia)H-Index: 48
Last.Grant R. Tomkinson (UniSA: University of South Australia)H-Index: 20
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Objectives This study quantified differences in body shape of people differing in body mass index (BMI), using three-dimensional (3D) scan-extracted segmental body volumes. Methods Eight segmental volumes were measured on 340 young adults (169 males and 171 females) aged 18–30 years, using the Vitus Smart 3D whole body scanner. Body volumes were also expressed as a ratio of the sex-specific mean volume (segmental or whole body) and compared to BMI using simple linear regression, multiple-segment...
#1Tim Olds (UNISA: University of South Africa)H-Index: 48
#2Nathan Daniell (UniSA: University of South Australia)H-Index: 8
Last.Arthur D. Stewart (RGU: Robert Gordon University)H-Index: 19
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Abstract Somatotyping is the quantification of human body shape, independent of body size. Hitherto, somatotyping (including the most popular method, the Heath-Carter system) has been based on subjective visual ratings, sometimes supported by surface anthropometry. This study used data derived from three-dimensional (3D) whole-body scans as inputs for cluster analysis to objectively derive clusters of similar body shapes. Twenty-nine dimensions normalised for body size were measured on a purposi...
#1Dominic ThewlisH-Index: 15
#2Chris BishopH-Index: 6
Last.Gunther PaulH-Index: 10
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The objective quantification of three-dimensional kinematics during different functional and occupational tasks is now more in demand than ever. The introduction of new generation of low-cost passive motion capture systems from a number of manufacturers has made this technology accessible for teaching, clinical practice and in small/medium industry. Despite the attractive nature of these systems, their accuracy remains unproved in independent tests. We assessed static linear accuracy, dynamic li...
#1Richard F. Burton (Glas.: University of Glasgow)H-Index: 21
#2Alan M. Nevill (University of Wolverhampton)H-Index: 55
Last.Tim Olds (UniSA: University of South Australia)H-Index: 48
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Background: Relationships between sitting height (SH) and leg length (LL) in adults are almost always studied in terms of ratios such as the Cormic Index (CI), SH/stature, rather than as primary variables. They are affected by genetics and childhood nutrition. Aim: To characterize these relationships and test whether the CI is ideal as an index of relative LL. Subjects and methods: Regression and reduced major axis (RMA) equations were calculated for 1653 men and women of European descent. For o...
#1Nathan DaniellH-Index: 8
#2Tim OldsH-Index: 4
Last.Grant R. TomkinsonH-Index: 20
view all 3 authors...
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