Human Body Weight - Wikipedia, the Free Encyclopedia
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The Height Production Function from Birth to Early Adulthood∗
The Height Production Function from Birth to Early Adulthood∗ Elisabetta De Caoy University of Rome \Tor Vergata" CEIS Working Paper, April 2010 Abstract In this paper I specify a height production function in order to study the determinants of height from birth to early adulthood in the Philippines. I use a rich longitudinal data set on Filipino children born in 1983 and followed for more than 20 years. The structure of the production function allows height to be the result of the accumulation of inputs over time. The results show that inputs from conception to birth are relevant at each age of the children. Nutrition inputs have a positive but small effect on the child's height. The shorter the distance between the age when the nutrition input is applied and the age when height is measured, the higher the impact on height. The younger the child, the bigger the impact. The earlier disease inputs are experienced, the stronger their negative effect on height. The older the child, the stronger the effects of past diseases. ∗I would like to thank my supervisor, Franco Peracchi for his patience and excellent advice. I thank Jere Behrman for his precious comments. I also thank Kenneth Wolpin, Petra Todd and Flavio Cunha for their helpful suggestions. I thank Linda Adair and the Cebu team for the data and constant help. Special thanks to Nicola Barban for his continous support and encouragement. I also thank the empirical micro club participants at the University of Pennsylvania (academic year 2008-2009), in particular Shalini Roy, Nirav Mehta and Seth Richards, for their valuable help. -
Evolutionary Perspectives on Human Height Variation Stulp, Gert; Barrett, Louise
University of Groningen Evolutionary perspectives on human height variation Stulp, Gert; Barrett, Louise Published in: Biological Reviews DOI: 10.1111/brv.12165 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2016 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Stulp, G., & Barrett, L. (2016). Evolutionary perspectives on human height variation. Biological Reviews, 91(1), 206-234. https://doi.org/10.1111/brv.12165 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 30-09-2021 Biol. -
ENERGY BALANCE and BODY WEIGHT REGULATION Metabolizable Energy, This Energy Loss Is Thought to Be Negligible Drive to Re-Establish Body Fat Stores at an Obese Level
losses due to glycogen depletion in the low-carbohydrate group, emerged as better than the rest, and if calorie restriction invokes SUMMARY Fine, E.J., and R.D. Feinman (2004). Thermodynamics of weight loss diets. this cannot explain all of the weight loss. Several possibilities metabolic and behavioral responses that “sabotage” efforts Nutr. Metab. (Lond.), 1(1):15. should be examined in light of bioenergetic principles. On the toward permanent weight loss, is there any hope for obese and Energy balance is best explained using a dynamic, as opposed to Flatt, J.P. (1995). Use and storage of carbohydrate and fat. Am. J. Clin. Nutr., energy intake side, there may be lower energy consumption overweight persons to achieve permanent weight loss? Data a static, equation in which changes on one side of the scale result 61(4 Suppl):952S-959S. Sports Science Exchange 99 on the low-carbohydrate diets. The investigations cited above from the National Weight Loss Registry suggests that all is in compensatory metabolic and/or behavioral changes on the were outpatient studies in which no attempt was made to match not lost (Wing & Hill, 2001). There are many individuals who other side. In the face of our current environment of low physical Foster, G.D., H.R. Wyatt, J.O. Hill, B.G. McGuckin, C. Brill, B.S. Mohammed, P.O. Szapary, D.J. Rader, J.S. Edman, and S. Klein (2003). A randomized trial VOLUME 18 (2005) n Number 4 energy intake between dietary conditions. Thus, energy intake are able to successfully maintain weight loss over many years. -
Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake
applied sciences Article Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake Alberto Peña Fernández 1, Ali Youssef 1, Charlotte Heeren 1, Christophe Matthys 2,3 and Jean-Marie Aerts 1,* 1 Department of Biosystems, Division Animal and Human Health Engineering, M3-BIORES: Measure, Model & Manage of Bioresponses Laboratory, KU Leuven, Kasteelpark Arenberg 30, 3001 Heverlee, Belgium 2 Nutrition & Obesity, Clinical and Experimental Endocrinology, Department of Chronic Diseases, Metabolism and Aging, KU Leuven, UZ Herestraat 49, 3000 Leuven, Belgium 3 Clinical Nutrition Unit, Department of Endocrinology, University Hospitals Leuven, 3000 Leuven, Belgium * Correspondence: [email protected] Received: 3 June 2019; Accepted: 25 June 2019; Published: 27 June 2019 Featured Application: This work sets the basis for developing a control system that allows managing, in an automated and individualized manner, human bodyweight in terms of energy intake, by taking advantage of the real-time monitoring capabilities of the ever-growing wearable technology sector. Abstract: The number of overweight people reached 1.9 billion in 2016. Lifespan decrease and many diseases have been linked to obesity. Efficient ways to monitor and control body weight are needed. The objective of this work is to explore the use of a model predictive control approach to manage bodyweight in response to energy intake. The analysis is performed based on data obtained during the Minnesota starvation experiment, with weekly measurements on body weight and energy intake for 32 male participants over the course of 27 weeks. A first order dynamic auto-regression with exogenous variables model exhibits the best prediction, with an average mean relative prediction error value of 1.01 0.02% for 1 week-ahead predictions. -
Medical Treatment of Obesity: the Past, the Present and the Future
Best Practice & Research Clinical Gastroenterology 28 (2014) 665e684 Contents lists available at ScienceDirect Best Practice & Research Clinical Gastroenterology 11 Medical treatment of obesity: The past, the present and the future * George A. Bray, MD, MACP, MACE, Boyd Professor 6400 Perkins Road, Baton Rouge, LA 70808, USA abstract Keywords: Medications for the treatment of obesity began to appear in the Orlistat late 19th and early 20th century. Amphetamine-addiction led to Serotonergic drugs the search for similar drugs without addictive properties. Four Sympathomimetic drugs sympathomimetic drugs currently approved in the US arose from Glucagon-like peptide-1 agonists this search, but may not be approved elsewhere. When norad- Combination therapy renergic drugs were combined with serotonergic drugs, additional weight loss was induced. At present there are three drugs (orlistat, phentermine/topiramate and lorcaserin) approved for long-term use and four sympathomimetic drugs approved by the US FDA for short-term treatment of obesity. Leptin produced in fat cells and glucagon-like peptide-1, a gastrointestinal hormone, provide a new molecular basis for treatment of obesity. New classes of agents acting on the melanocortin system in the brain or mimicking GLP-1 have been tried with variable success. Combi- nation therapy can substantially increase weight loss; a promising approach for the future. © 2014 Elsevier Ltd. All rights reserved. Introduction ‘A desire to take medicine is, perhaps, the great feature which distinguishes man from other animals.’ Sir William Osler [1] * Tel.: þ1 (225) 763 3176; fax: þ1 (225) 763 3045. E-mail addresses: [email protected], [email protected], [email protected]. -
Section Study to Determine Human Height Using Femur Length in Zambian Population
ACTA SCIENTIFIC MICROBIOLOGY (ISSN: 2581-3226) Volume 2 Issue 11 November 2019 Research Article A Cross - Section Study to Determine Human Height Using Femur Length in Zambian Population Chansa Mulenga1-4* 1Registrar General Surgery Ndola teaching Hospital Zambia, Zambia 2MBCHB- Copperbelt University, Zambia 3BSC Pharmacy- University of Zambia, Zambia 4MSC Anatomy- Copperbelt University, Zambia *Corresponding Author: Chansa Mulenga, Registrar General Surgery Ndola teaching Hospital Zambia, Zambia. Received: September 10, 2019; Published: October 15, 2019 DOI: 10.31080/ASMI.2019.02.0399 Abstract Introduction: Height estimation from skeletal remains is a useful tool in forensic medicine and biological anthropology. In mass disasters like explosions, railway and aircraft accidents identification is difficult by routine methods and only part of body that can In contrast to most advanced countries where extensive works has been done on correlation of measurements of various body help in identification of skeleton as only a part of it will be available. parts, documented skeleton remains are not available in Africa for establishing the norms of stature reconstruction. Each race re- quires its own formula for estimation of stature since there lies variations in the length of limb bones relative to stature, race, sex, climate, heredity and nutritional status. Methodology: This thesis explores the estimation of a person’s height by analysing the femur length in living subjects of medical students from the Copperbelt University Michael Chilufya Sata School of medicine, Copperbelt province of Ndola, Zambia from Janu- ary 2018 to April 2018. Findings: The study included a total number of 100 medical students, males n=50 and females n=50. -
Health, Height, and Welfare: Britain, 1700-1980
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Research Papers in Economics This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: Health and Welfare during Industrialization Volume Author/Editor: Richard H. Steckel and Roderick Floud, Eds. Volume Publisher: University of Chicago Press Volume ISBN: 0-226-77156-3 Volume URL: http://www.nber.org/books/stec97-1 Publication Date: January 1997 Chapter Title: Health, Height, and Welfare: Britain, 1700-1980 Chapter Author: Roderick Floud, Bernard Harris Chapter URL: http://www.nber.org/chapters/c7429 Chapter pages in book: (p. 91 - 126) 3 Health, Height, and Welfare: Britain, 1700-1980 Roderick Floud and Bernard Harris In recent years, an increasing number of historians have combed the records of military recruiting officers, convict ships, prison officers, and local education authorities to examine the impact of economic and social change on the height of the British population during the last three centuries. Although this work was originally inspired by an investigation into the causes of mortality decline in North America, it soon became apparent that the historical analysis of hu- man height could offer new insights into the long-running controversy over the standard of living during the industrial revolution, and the techniques devel- oped during these investigations were also applied to debates over the demo- graphic impact of the First World War and the impact of the interwar recession (Fogel et al. 1978; Floud, Wachter, and Gregory 1990; Harris 1988, 1993). The most comprehensive account of long-term trends in the height of the British population was provided by Roderick Floud, Kenneth Wachter, and Annabel Gregory, but their work has since been challenged and extended by a long list of other authors (see, e.g., Komlos 1993a, 1993b, 1993~;Mokyr and 0 Gr6da 1994; Nicholas and Steckel 1991; Nicholas and Oxley 1993; Riggs 1994). -
Data Integration for Prediction of Weight Loss in Randomized Controlled Dietary Trials Rikke Linnemann Nielsen1,2,13, Marianne Helenius1,13, Sara L
www.nature.com/scientificreports OPEN Data integration for prediction of weight loss in randomized controlled dietary trials Rikke Linnemann Nielsen1,2,13, Marianne Helenius1,13, Sara L. Garcia1, Henrik M. Roager3,4, Derya Aytan‑Aktug1,4, Lea Benedicte Skov Hansen1, Mads Vendelbo Lind3, Josef K. Vogt6, Marlene Danner Dalgaard1, Martin I. Bahl4, Cecilia Bang Jensen1, Rasa Muktupavela1, Christina Warinner5, Vincent Aaskov6, Rikke Gøbel6, Mette Kristensen3, Hanne Frøkiær7, Morten H. Sparholt8, Anders F. Christensen8, Henrik Vestergaard6,9, Torben Hansen6, Karsten Kristiansen10, Susanne Brix11, Thomas Nordahl Petersen4, Lotte Lauritzen3*, Tine Rask Licht4*, Oluf Pedersen6* & Ramneek Gupta1,12* Diet is an important component in weight management strategies, but heterogeneous responses to the same diet make it difcult to foresee individual weight‑loss outcomes. Omics‑based technologies now allow for analysis of multiple factors for weight loss prediction at the individual level. Here, we classify weight loss responders (N = 106) and non‑responders (N = 97) of overweight non‑diabetic middle‑aged Danes to two earlier reported dietary trials over 8 weeks. Random forest models integrated gut microbiome, host genetics, urine metabolome, measures of physiology and anthropometrics measured prior to any dietary intervention to identify individual predisposing features of weight loss in combination with diet. The most predictive models for weight loss included features of diet, gut bacterial species and urine metabolites (ROC‑AUC: 0.84–0.88) compared to a diet‑ only model (ROC‑AUC: 0.62). A model ensemble integrating multi‑omics identifed 64% of the non‑ responders with 80% confdence. Such models will be useful to assist in selecting appropriate weight management strategies, as individual predisposition to diet response varies. -
Predictive Mathematical Models of Weight Loss
Current Diabetes Reports (2019) 19:93 https://doi.org/10.1007/s11892-019-1207-5 OBESITY (KM GADDE, SECTION EDITOR) Predictive Mathematical Models of Weight Loss Diana M. Thomas1 & Michael Scioletti1 & Steven B. Heymsfield2 # This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019 Abstract Purpose of Review Validated thermodynamic energy balance models that predict weight change are ever more in use today. Delivery of model predictions using web-based applets and/or smart phones has transformed these models into viable clinical tools. Here, we provide the general framework for thermodynamic energy balance model derivation and highlight differences between thermodynamic energy balance models using four representatives. Recent Findings Energy balance models have been used to successfully improve dietary adherence, estimate the magnitude of food waste, and predict dropout from clinical weight loss trials. They are also being used to generate hypotheses in nutrition experiments. Summary Applications of thermodynamic energy balance weight change prediction models range from clinical applications to modify behavior to deriving epidemiological conclusions. Novel future applications involve using these models to design experiments and provide support for treatment recommendations. Keywords Thermodynamic energy balance models . Weight change prediction Introduction Early Weight Change Models Predicting weight loss is critical for designing effective weight In 1958, Max Wishnofsky extended biological conclusions loss interventions [1, 2], providing accurate weight loss pre- from a combination of Key’s Minnesota study and the best scriptions for patients [3–5], and evaluating components of existing human subject weight loss data to derive a universal energy balance post hoc [6–8]. -
Genetic and Environmental Influences on Human Height from Infancy Through Adulthood at Different Levels of Parental Education
Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education Jelenkovic, Aline; Sund, Reijo; Yokoyama, Yoshie; Latvala, Antti; Sugawara, Masumi; Tanaka, Mami; Matsumoto, Satoko; Freitas, Duarte L.; Maia, José Antonio; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Saudino, Kimberly J.; Cutler, Tessa L.; Hopper, John L.; Ullemar, Vilhelmina; Almqvist, Catarina; Magnusson, Patrik K.E.; Cozen, Wendy; Hwang, Amie E.; Mack, Thomas M.; Nelson, Tracy L.; Whitfield, Keith E.; Sung, Joohon; Kim, Jina; Lee, Jooyeon; Lee, Sooji; Llewellyn, Clare H.; Fisher, Abigail; Medda, Emanuela; Nisticò, Lorenza; Toccaceli, Virgilia; Baker, Laura A.; Tuvblad, Catherine; Corley, Robin P.; Huibregtse, Brooke M.; Derom, Catherine A.; Vlietinck, Robert F.; Loos, Ruth J.F.; Burt, S. Alexandra; Klump, Kelly L.; Silberg, Judy L.; Maes, Hermine H.; Krueger, Robert F.; McGue, Matt; Pahlen, Shandell; Gatz, Margaret; Butler, David A.; Harris, Jennifer R.; Brandt, Ingunn; Nilsen, Thomas S.; Harden, K. Paige; Tucker-Drob, Elliot M.; Franz, Carol E.; Kremen, William S.; Lyons, Michael J.; Lichtenstein, Paul; Bartels, Meike; Beijsterveldt, Catharina E.M.van; Willemsen, Gonneke; Öncel, Sevgi Y.; Aliev, Fazil; Jeong, Hoe Uk; Hur, Yoon Mi; Turkheimer, Eric; Boomsma, Dorret I.; Sørensen, Thorkild I.A.; Kaprio, Jaakko; Silventoinen, Karri Published in: Scientific Reports DOI: 10.1038/s41598-020-64883-8 Publication date: 2020 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Jelenkovic, A., Sund, R., Yokoyama, Y., Latvala, A., Sugawara, M., Tanaka, M., Matsumoto, S., Freitas, D. L., Maia, J. A., Knafo-Noam, A., Mankuta, D., Abramson, L., Ji, F., Ning, F., Pang, Z., Rebato, E., Saudino, K. -
A Guide to Obesity and the Metabolic Syndrome
A GUIDE TO OBESITY AND THE METABOLIC SYNDROME ORIGINS AND TREAT MENT GEORG E A. BRA Y Louisiana State University, Baton Rouge, USA Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business © 2011 by Taylor and Francis Group, LLC CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2011 by Taylor and Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Printed in the United States of America on acid-free paper 10 9 8 7 6 5 4 3 2 1 International Standard Book Number: 978-1-4398-1457-4 (Hardback) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the valid- ity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or uti- lized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopy- ing, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. -
Maternal Body Height Is a Stronger Predictor of Birth Weight Than Ethnicity
J. Perinat. Med. 2018; aop Niels Rochow*, Malak AlSamnan, Hon Yiu So, Dirk Olbertz, Anna Pelc, Jan Däbritz, Roland Hentschel, Ursula Wittwer-Backofen and Manfred Voigt Maternal body height is a stronger predictor of birth weight than ethnicity: analysis of birth weight percentile charts https://doi.org/10.1515/jpm-2017-0349 Middle East and North Africa, and Asia excluding Middle Received November 9, 2017. Accepted April 27, 2018. East). Percentile charts were calculated for each maternal Abstract height group. Results: The average BW and maternal height differ sig- Background: Anthropometric parameters such as birth nificantly between ethnic groups. On current percentile weight (BW) and adult body height vary between ethnic charts, newborns of taller mothers (≥176 cm) have a low groups. Ethnic-specific percentile charts are currently rate of SGA and a high rate of LGA, whereas newborns of being used for the assessment of newborns. However, shorter mothers (≤157 cm) have a high rate of SGA and a due to globalization and interethnic families, it is unclear low rate of LGA. When the BW data are stratified based on which charts should be used. A correlation between a the maternal height, mothers of similar height from dif- mother’s height and her child’s BW (1 cm accounts for a ferent ethnic groups show similar average BWs, SGA and 17 g increase in BW) has been observed. The study aims LGA rates. to test differences in small for gestational age (SGA) and Conclusion: Maternal body height has a greater influence large for gestational age (LGA) rates, employing BW per- on BW than maternal ethnicity.