Relevant bibliographies by topics / Body composition

Academic literature on the topic 'Body composition'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2024

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Journal articles on the topic "Body composition"

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Kitagawa, Kaoru. "Body composition." Taiikugaku kenkyu (Japan Journal of Physical Education, Health and Sport Sciences) 43, no. 1 (1998): 1–11. http://dx.doi.org/10.5432/jjpehss.kj00003392055.

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Kyle, Ursula G., Laurence Genton, and Claude Pichard. "Body composition." Current Opinion in Internal Medicine 1, no. 5 (October 2002): 431–37. http://dx.doi.org/10.1097/00132980-200201050-00001.

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Kelley Evans. "Body Composition." Fourth Genre: Explorations in Nonfiction 10, no. 1 (2008): 55–65. http://dx.doi.org/10.1353/fge.0.0005.

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Ellis, Kenneth J., and Buford L. Nichols. "Body Composition." Advances in Pediatrics 40, no. 1 (1993): 159–84. http://dx.doi.org/10.1016/s0065-3101(24)00011-2.

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Borga, Magnus, Janne West, Jimmy D. Bell, Nicholas C. Harvey, Thobias Romu, Steven B. Heymsfield, and Olof Dahlqvist Leinhard. "Advanced body composition assessment: from body mass index to body composition profiling." Journal of Investigative Medicine 66, no. 5 (March 25, 2018): 1.10–9. http://dx.doi.org/10.1136/jim-2018-000722.

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This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.
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Jain, A. "Body Fluid Composition." Pediatrics in Review 36, no. 4 (April 1, 2015): 141–52. http://dx.doi.org/10.1542/pir.36-4-141.

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KOMIYA, SHUICHI, RYOUICHI MITSUZONO, and MAKOTO UBE. "Human Body Composition." Japanese Journal of Physical Fitness and Sports Medicine 44, no. 2 (1995): 211–23. http://dx.doi.org/10.7600/jspfsm1949.44.211.

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Kuriyan, Rebecca. "Body composition techniques." Indian Journal of Medical Research 148, no. 5 (2018): 648. http://dx.doi.org/10.4103/ijmr.ijmr_1777_18.

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Eston, R. "Human body composition." British Journal of Sports Medicine 31, no. 4 (December 1, 1997): 353. http://dx.doi.org/10.1136/bjsm.31.4.353-c.

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Ellis, Kenneth J., Ann Scheimann, and Phillip D. K. Lee. "Body Composition Measurements." Endocrinologist 10, Supplement 1 (July 2000): 57S—62S. http://dx.doi.org/10.1097/00019616-200010041-00012.

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Dissertations / Theses on the topic "Body composition"

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Evans, Kelley E. "Body Composition." View abstract, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3319029.

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Olson, Kaila L. "Body Composition Methods." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555412102811725.

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Haroun, Dalia. "Body composition in childhood obesity." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444191/.

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Childhood obesity has been increasing rapidly. Previous work investigating body composition in obese children and adolescents has relied primarily on body mass index (BMI), or on measures that assume constant properties of fat-free mass (FFM). This limits our understanding of the effect of treatment. My PhD is divided into three aims. First, I explored differences in body composition between obese and non-obese children using multi-component models. Second, I investigated the effectiveness of two weight-loss programmes (a randomised controlled trial adopting the traffic-light program (TLP), and a pilot study evaluating treatment using Metformin). Third, I evaluated a bio-electrical impedance analysis (BIA) machine (TANITA BC-418 MA) as a clinical tool for assessing body composition in obese children.;Aim 1: obese children had greater hydration of FFM this limits the accuracy of using techniques that assume constant FFM properties. Taking this into account, obese children had increased fat mass (FM) and FFM, particularly FM in the abdomen region.;Aim 2: analyses from the TLP revealed that treatment and control groups significantly lost 0.1 BMI SDS during the trial but did not significantly differ for any of the body composition outcomes. A further analysis revealed that there was a significant reduction in BMI SDS and FM but an increase in FFM in the period when obese children were treated versus an increase in BMI SDS and FM in the period when they were left. Results from the Metformin programme revealed no significant change in body composition following 6 months or 1 year treatment.;Aim 3: Using a manufacturer's equations, TANITA was not accurate at assessing body composition or its change over time. My new equations had no systematic bias in relation to body fatness, although an error of the FFM estimate of 2.2 kg, and may be used to guide management in clinical practice.
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McDougall, David. "Body composition measurements from whole body resistance and reactance." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66235.

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Watson, Sinead. "Body weight, body composition and cardiovascular risk : epidemiology and intervention." Thesis, Queen's University Belfast, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603560.

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The internet is a novel medium for delivering behavioural modification weight loss programs and owing to its widespread accessibility it has the potential to treat at the population level. This thesis aimed to evaluate the effects of a unique web-based behaviour change program (WBP) called 'Imperative Health' on weight loss in an overweight/ obese population at high risk of cardiovascular disease (CVO) using a randomised controlled trial. In total, 65 participants were randomly assigned to one of two groups for 12 months: the control group (usual care) or the intervention group (WBP). Assessments were conducted at baseline, 3-, 6- and 12-months. The primary outcome of this study was between-group change in weight loss at 3 months. Secondary outcomes included between-group change in the following health outcomes: CVD risk factors, health-related quality of life, emotional states and self efficacy. The intervention group achieved a mean weight loss of -4.4 ± 3.5 kg at 3 months; the control group lost -0.54 ± 3.0 kg, overall this accounted for a Significant mean weight difference of -3.66 kg after adjusting for baseline weight between the groups (P <0.001). No treatment effect was observed between the groups in the longer term (12 months). A substantial impact on the majority of the above health outcomes irrespective of weight loss was not observed. Web-based programs for weight loss have the potential to reach large proportions of the population and the ability to promote modest weight loss in the short term. It is difficult, however, to ascertain their long term effectiveness as a result of their associated high attrition and non-usage attrition rates. Solutions are required to enhance engagement levels in the longer term in order to maximise the potential of WBPs for weight management to treat obesity at the population level.
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Craig, Pippa. "Which body size? : a cross-cultural study of body composition and body perception." Phd thesis, Faculty of Medicine, 1999. http://hdl.handle.net/2123/12824.

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Adamczewski, Jan Z. "Digestion and body composition in muskoxen." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ32810.pdf.

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Eishorbagy, Amany. "Sulfur Amino acids and body composition." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510950.

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Engel, Barbara. "Near subject measurement of body composition." Thesis, Keele University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431381.

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Gutiérrez, Marín Desirée. "Body composition assessment in paediatric patients. Validation of new methods of body composition measurements in obese children." Doctoral thesis, Universitat Rovira i Virgili, 2019. http://hdl.handle.net/10803/667654.

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L'obesitat es defineix com un excés de greix en el cos, però generalment es diagnostica mitjançant mètodes que en realitat no poden mesurar o estimar el teixit adipós del cos, com l'índex de massa corporal (IMC). Hi ha moltes tècniques que poden diferenciar els compartiments corporals in vivo i després, el greix es pot estimar amb un nivell relativament alt de precisió, per exemple, absorciometria de raigs X de doble energia (DXA), pletismografia per desplaçament d'aire (ADP), dilucions isotòpiques, models multi-components, entre d'altres. El mètode de referència per avaluar la composició corporal in vivo és el model de 4-components. No obstant això, aquestes tècniques tenen algunes limitacions, principalment, totes són cares i inadequades per a la pràctica clínica. L'anàlisi d'impedància bioelèctrica (BIA) s'ha proposat com una tècnica adequada per avaluar la composició corporal en diverses poblacions, inclosos nens obesos. No obstant això, hi ha investigacions que van mostrar una baixa precisió de les mesures amb BIA en obesos. Els nostres resultats van mostrar que aquesta imprecisió podria ser deguda a l'ús de valors constants de les propietats de massa lliure de greix, hidratació i densitat, quan s’avalua la composició corporal mitjançant tècniques basades en 2-components (ADP, BIA). Tenint en compte aquest fet, aquest treball va proposar dos nous mètodes per avaluar la composició corporal en nens obesos: el primer va suggerir que utilitzar valors calculats de la densitat de la massa lliure de greix, amb la nova equació predictiva, en lloc dels valors constants publicats per mesurar la composició corporal mitjançant tècniques basades en 2-components (per exemple, ADP) millora la precisió de la tècnica; el segon mètode mostra una nova equació per calcular la massa lliure de greix a partir de les mesures d'impedància, millorant la precisió de les equacions del fabricant dels analitzadors d'impedància en població obesa.
La obesidad se define como un exceso de grasa en el cuerpo, pero generalmente se diagnostica mediante métodos que en realidad no pueden medir o estimar el tejido adiposo del cuerpo como el índice de masa corporal (IMC). Existen muchas técnicas que pueden diferenciar los compartimentos corporales in vivo y luego, la grasa se puede estimar con un nivel relativamente alto de precisión, por ejemplo, absorciometría de rayos X de doble energía (DXA), pletismografía por desplazamiento de aire (ADP), diluciones isotópicas, modelos multi-componentes, entre otros. El método de referencia para evaluar la composición corporal in vivo es el modelo de 4-componentes. Sin embargo, estas técnicas tienen algunas limitaciones, principalmente, todas son caras e inadecuadas para la práctica clínica. El análisis de impedancia bioeléctrica (BIA) se ha propuesto como una técnica adecuada para evaluar la composición corporal en diversas poblaciones, incluidos niños obesos. Sin embargo, existen investigaciones que mostraron una baja precisión de las medidas con BIA en obesos. Nuestros resultados mostraron que esta imprecisión podría deberse al uso de valores constantes de las propiedades de masa libre de grasa, hidratación y densidad, al evaluar la composición corporal mediante técnicas basadas en 2-componentes (ADP, BIA). Teniendo en cuenta este hecho, este trabajo propuso dos nuevos métodos para evaluar la composición corporal en niños obesos: el primero sugirió que usar valores calculados de la densidad de la masa libre de grasa, con la nueva ecuación predictiva, en lugar de los valores constantes publicados al evaluar composición corporal mediante técnicas basadas en 2-componentes (por ejemplo, ADP) mejora la precisión de la técnica; el segundo método muestra una nueva ecuación para calcular la masa libre de grasa a partir de las mediciones de impedancia, lo que mejora la precisión de las ecuaciones del fabricante de los analizadores de impedancia en la población obesa.
Obesity is defined as an excess of fat in the body but it is usually diagnosed by methods which cannot actually measure or estimate the adipose tissue of the body, i.e. body mass index (BMI). There are many existing techniques which can differentiate body compartments in vivo and then, fat can be estimated with a relative high level of accuracy, i.e. dual energy X-ray absorptiometry (DXA), air-displacement plethysmography (ADP), isotopic dilutions, multi-component models, among others. The gold standard method to assess body composition in vivo is the four-component model. However, these techniques have some limitations, and mainly, all of them are expensive and implausible for clinical practice. Bioelectrical impedance analysis (BIA) has been proposed as a suitable technique to assess body composition in a wide range of populations, including obese children. However, there are research evidences that showed a poor accuracy of BIA body composition assessments in this population. Our results showed that this lack of accuracy might be due to the assumption of constant values of the fat-free mass properties, hydration and density, when assessing body composition by 2-component based techniques (e.g. ADP and BIA). Considering this fact, this work proposed two new methods to assess body composition in obese children: the first one suggested that using calculated values of the density of the fat-free mass, with the new predictive equation, instead the published constant values when assessing body composition by 2-component based techniques (e.g. ADP) improves the accuracy of the technique; the second method shows a new equation to calculate the fat-free mass from whole-body impedance measurements, which improves the accuracy of the impedance analysers manufacturer’s equations in obese population.
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Books on the topic "Body composition"

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Lukaski, Henry C., ed. Body Composition. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008.

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Forbes, Gilbert B. Human Body Composition. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4654-1.

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Ellis, Kenneth J., and Jerry D. Eastman, eds. Human Body Composition. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8.

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J, Ellis Kenneth, and Eastman Jerry D, eds. Human body composition. New York: Plenum Press, 1993.

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Human body composition. Delhi: Kamla-Raj Enterprises, 2007.

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1921-, Roche Alex F., Heymsfield Steven 1944-, and Lohman Timothy G. 1940-, eds. Human body composition. Champaign, IL: Human Kinetics, 1996.

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Wada, Roy. Body composition and wages. Cambridge, MA: National Bureau of Economic Research, 2007.

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M, Stolarczyk Lisa, ed. Applied body composition assessment. Champaign, IL: Human Kinetics, 1996.

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J, Ellis Kenneth, Eastman Jerry D, and International Symposium on In Vivo Body Composition Studies (1992 : Houston, Tex.), eds. Human body composition: In vivo methods, models, and assessment. New York: Plenum Press, 1993.

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Shephard, Roy J. Body composition in biological anthropology. Cambridge, UK: Cambridge University Press, 2005.

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Book chapters on the topic "Body composition"

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Lukaski, Henry C. "Body Composition in Perspective." In Body Composition, 3–12. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-1.

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Moon, Jordan R., and Kristina L. Kendall. "Endurance Athletes." In Body Composition, 171–210. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-10.

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Fukuda, David H., Jay R. Hoffman, and Jeffrey R. Stout. "Strength and Speed/Power Athletes." In Body Composition, 211–32. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-11.

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Silva, Analiza M., Diana A. Santos, and Catarina N. Matias. "Weight-Sensitive Sports." In Body Composition, 233–84. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-12.

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Friedl, Col Karl E. "Mathematical Modeling of Anthropometrically Based Body Fat for Military Health and Performance Applications." In Body Composition, 285–306. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-13.

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Davis, Paul O., and Mark G. Abel. "Body Composition and Public Safety The Industrial Athlete." In Body Composition, 307–20. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-14.

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Devries, Michaela C., Sara Y. Oikawa, and Stuart M. Phillips. "Dietary Protein and Physical Training Effects on Body Composition and Performance." In Body Composition, 323–42. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-15.

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Friedl, Col Karl E. "Influence of Dietary Supplements on Body Composition." In Body Composition, 343–56. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-16.

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Cialdella-Kam, Lynn, and Melinda M. Manore. "Diet and Exercise Approaches for Reversal of Exercise-Associated Menstrual Dysfunction." In Body Composition, 357–74. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-17.

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Davis, Paul O., and Mark G. Abel. "14: Body Composition and Public Safety The Industrial Athlete." In Body Composition, 307–20. 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781351260008-18.

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Conference papers on the topic "Body composition"

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BALASEKARAN, GOVINDASAMY, NIDHI GUPTA, and VISVASURESH VICTOR GOVINDASWAMY. "ASSESSMENT OF BODY COMPOSITION." In 2008 Access Conference in Sport Science. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304092_0007.

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Kullberg, Joel. "Whole-body MRI for analysis of body composition." In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2010. http://dx.doi.org/10.1109/isbi.2010.5490175.

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Trinks, Nina, Oana-Patricia Zaharia, Klaus Strassburger, Filippo Michelotti, Vera Schrauwen-Hinderling, Robert Wagner, Anja Bosy-Westphal, and Michael Roden. "Body composition in diabetes endotypes." In Diabetes. Umwelt. Leben. Perspektiven aus allen Blickwinkeln. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1785248.

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Chantasuban, Sarit, and Surapa Thiemjarus. "UbiBand: A Framework for Music Composition with BSNs." In Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.9.

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Zhou, You, Ting Zhang, and Guang-Ning Fan. "Assessment of Body Composition through Sports." In 2nd Annual International Conference on Social Science and Contemporary Humanity Development. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/sschd-16.2016.112.

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Lucas, Nishani, Omalka Fonseka, Upul Senarath, Pulani Lanerolle, Andrew Hills, and Pujitha Wickramasinghe. "1278 The role of placenta in infant body composition; can the placenta predict infant body composition?" In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference, Liverpool, 28–30 June 2022. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2022. http://dx.doi.org/10.1136/archdischild-2022-rcpch.308.

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Zheng, Yijiang, Zhuoxin Long, Xiaoke Zhang, and James K. Hahn. "3D body shape for regional and appendicular body composition estimation." In Image Processing, edited by Ivana Išgum and Olivier Colliot. SPIE, 2023. http://dx.doi.org/10.1117/12.2653964.

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Coloberti, Matteo, Clemens Lombriser, Daniel Roggen, Gerhard Tröster, Renata Guarneri, and Daniele Riboni. "Service Discovery and Composition in Body Area Networks." In 3rd International ICST Conference on Body Area Networks. ICST, 2008. http://dx.doi.org/10.4108/icst.bodynets2008.2951.

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Ogrizović, Saša. "Changes in body weight and body composition during student exam period." In Antropološki i teoantropološki pogled na fizičke aktivnosti (10). University of Priština – Faculty of Sport and Physical Education in Leposavić, 2024. http://dx.doi.org/10.5937/atavpa24042o.

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Most faculties at the University of Ljubljana support sport and recreation for students in various ways. At the Faculty of computer and information science and at the Faculty of chemistry and chemical technology we offer students the course "Sports Education". The course is running in the winter and summer semesters. During the exam period, students do not have the opportunity to be involved in organized sport activities from the faculty. We decided to investigate whether the students kept the habit of joining sport activity during that period and whether there were changes in body weight and body composition. Methods: We measured body weight and body composition, which included the muscle mass weight and percentage in fat mass. We used Tanita RD545 and a survey questionnaire for measurement. The first test was performed in the last week of the winter semester and the second in the first week of the summer semester, while the exam period lasts four weeks. Results: In the short period of four weeks, the students on average increased their body weight by 0.48 kg (range: min=-2.3kg, max=3.7kg), muscle mass by 0.11 (range max=-4.25kg, max =3.15kg), percentage in fat mass 0.22% (range max=-4.4%, min=3.3%). In the questionnaire, the students assessed that they were less physically active during the exam period. The results showed changes in body weight and body composition occurred in a relatively short period. The reason for this is probably less physical activity.
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Sung-Hoon Bae, Byoung-Sam Moon, Woo-Jae Lee, and Shin-Il Lim. "A chip design for body composition analyzer." In 2006 IEEE Biomedical Circuits and Systems Conference - Healthcare Technology (BioCas). IEEE, 2006. http://dx.doi.org/10.1109/biocas.2006.4600347.

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Reports on the topic "Body composition"

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Wada, Roy, and Erdal Tekin. Body Composition and Wages. Cambridge, MA: National Bureau of Economic Research, November 2007. http://dx.doi.org/10.3386/w13595.

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Gummin, David D. Body Composition Analysis in U.S. Navy Divers. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada407354.

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Gummin, D. D. Body Composition Analysis in U.S. Navy Divers. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada453110.

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Hodgdon, James A., and Karl Friedl. Development of the DoD Body Composition Estimation Equations. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada370158.

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Van Loan, Marta. Body Composition in Military or Military Eligible Women. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada373947.

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Conway, Joan M., Marta D. Van Loan, and James A. Hodgdon. Body Composition in Military or Military Eligible Women. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada346710.

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Query, Lovina. Body weight changes throughout the menstrual cycle and their effect upon the components of body composition. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3312.

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Díaz, Julia A. Calderón, Jeffrey L. Vallet, Terry Prince, Christina Phillips, Askley DeDecker, and Kenneth J. Stalder. Optimal Dietary Energy and Protein for Gilt Development: Growth and Body Composition, Feed Intake and Carcass Composition Traits. Ames (Iowa): Iowa State University, January 2015. http://dx.doi.org/10.31274/ans_air-180814-1336.

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Lutz, T. R., B. A. Autrey, and Tim S. Stahly. Efficacy of Pantothenic Acid as a Modifier of Body Composition in Pigs. Ames (Iowa): Iowa State University, January 2004. http://dx.doi.org/10.31274/ans_air-180814-190.

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Wielopolski, L. Workshop on body composition in basic and clinical research and the emerging technologies. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/781829.

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