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Articles 1591 - 1620 of 10798
Full-Text Articles in Entire DC Network
Relationships Among Toilet Sharing, Water Source Locations, And Handwashing Places Without Observed Soap: A Cross-Sectional Study Of The Richest Households In Bangladesh, Mazbahul G. Ahamad, Mark Burbach, Fahian Tanin
Relationships Among Toilet Sharing, Water Source Locations, And Handwashing Places Without Observed Soap: A Cross-Sectional Study Of The Richest Households In Bangladesh, Mazbahul G. Ahamad, Mark Burbach, Fahian Tanin
School of Natural Resources: Faculty Publications
Background: A high percentage of the richest households in Bangladesh lack soap at their handwashing places, a problem that is typically considered to be one of the poor. Objective: We investigated toilet sharing practices, locations of water sources, and relevant sociodemographic factors associated with the observed handwashing places that lack soap in the richest (ninth wealth decile) households in Bangladesh. Methods: We used data from the 2017-18 Bangladesh Demographic and Health (BDHS) Survey. Logistic regression technique was used to investigate how toilet sharing practices, water source locations, and different sociodemographic factors were associated with observed handwashing places without soap. Results: …
Energy Compensation And Adiposity In Humans, Vincent Careau, Lewis G. Halsey, Herman Pontzer, Philip N. Ainslie, Lene F. Andersen, Liam J. Anderson, Lenore Arab, Issad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Richard Cooper, Lara R. Dugas, Simon D. Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas
Energy Compensation And Adiposity In Humans, Vincent Careau, Lewis G. Halsey, Herman Pontzer, Philip N. Ainslie, Lene F. Andersen, Liam J. Anderson, Lenore Arab, Issad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Richard Cooper, Lara R. Dugas, Simon D. Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas
Faculty Publications
Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1–3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response—energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to find that energy compensation …
Cross-Sectional Examination Of 24-Hour Movement Behaviours Among 3- And 4-Year-Old Children In Urban And Rural Settings In Low-Income, Middle-Income And High-Income Countries- And Sunrise Study Protocol, Tony Okely, John J. Reilly, Mark S. Tremblay, Katharina E. Kariippanon, Catherine E. Draper, Asmaa El Hamdouchi, Alex A. Florindo, Janette P. Green, Hongyan Guan, Peter T. Katzmarzyk, Himangi Lubree, Bang Nguyen Pham, Thomas Suesse, Juana Willumsen, Mohamed Basheer, Rebecca Calleia, Kar Hau Chong, Penny L. Cross, Maria Nacher, Laura Smeets, Ellie Taylor, Chalchisa Abdeta, Nicolas Aguilar-Farias, Aqsa Baig, Jambaldori Bayasgalan, Cecilia H.S. Chan, P. W.Prasad Chathurangana, Michael Chia, Fazlollah Ghofranipour, Amy S. Ha, Mohammad Sorowar Hossain, Xanne Janssen, Alejandra Jáuregui, Piyawat Katewongsa
Cross-Sectional Examination Of 24-Hour Movement Behaviours Among 3- And 4-Year-Old Children In Urban And Rural Settings In Low-Income, Middle-Income And High-Income Countries- And Sunrise Study Protocol, Tony Okely, John J. Reilly, Mark S. Tremblay, Katharina E. Kariippanon, Catherine E. Draper, Asmaa El Hamdouchi, Alex A. Florindo, Janette P. Green, Hongyan Guan, Peter T. Katzmarzyk, Himangi Lubree, Bang Nguyen Pham, Thomas Suesse, Juana Willumsen, Mohamed Basheer, Rebecca Calleia, Kar Hau Chong, Penny L. Cross, Maria Nacher, Laura Smeets, Ellie Taylor, Chalchisa Abdeta, Nicolas Aguilar-Farias, Aqsa Baig, Jambaldori Bayasgalan, Cecilia H.S. Chan, P. W.Prasad Chathurangana, Michael Chia, Fazlollah Ghofranipour, Amy S. Ha, Mohammad Sorowar Hossain, Xanne Janssen, Alejandra Jáuregui, Piyawat Katewongsa
Population and Public Health Science Faculty Publications
Introduction 24-hour movement behaviours (physical activity, sedentary behaviour and sleep) during the early years are associated with health and developmental outcomes, prompting the WHO to develop Global guidelines for physical activity, sedentary behaviour and sleep for children under 5 years of age. Prevalence data on 24-hour movement behaviours is lacking, particularly in low-income and middle-income countries (LMICs). This paper describes the development of the SUNRISE International Study of Movement Behaviours in the Early Years protocol, designed to address this gap. Methods and analysis SUNRISE is the first international cross-sectional study that aims to determine the proportion of 3- and 4-year-old …
Obesity And Overweight Among Black American Adolescent Females: The Role Of Social Influences In Everyday Dietary Practices, Megan R. Winkler
Obesity And Overweight Among Black American Adolescent Females: The Role Of Social Influences In Everyday Dietary Practices, Megan R. Winkler
Dissertations
Obesity and overweight disproportionately impact Black American adolescent females-placing them at a lifetime of elevated physical health risks. Despite this burden, the literature that explores the contributors to obesity and overweight among Black American adolescent females remains limited and unclear. This dissertation aims to develop knowledge related to obesity and overweight in Black American adolescent females, by appraising the current understanding of factors that contribute to their obesity and overweight, and explicating the everyday social influences on dietary practices. The primary study conducted for this dissertation used a mixed method, multiple case study design to examine the mother, daughter, and …
Deciding For Others, Thomas Simmons
Energy Compensation And Adiposity In Humans, Vincent Careau, Lewis G Halsey, Herman Pontzer, Philip N Ainslie, Lene F Andersen, Liam J Anderson, Lenore Arab, Issad Baddou, Kweku Bedu-Addo, Ellen E Blaak, Stephane Blanc, Alberto G Bonomi, Carlijn V C Bouten, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Graeme L Close, Jamie A Cooper, Sai Krupa Das, Richard Cooper, Lara R Dugas, Simon D Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Annelies H Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Kitty P Kempen, Misaka Kimura, William E Kraus, Robert F Kushner, Estelle V Lambert, William R Leonard, Nader Lessan, Corby K Martin, Anine C Medin, Erwin P Meijer, James C Morehen, James P Morton, Marian L Neuhouser, Theresa A Nicklas, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Roberto A Rabinovich, Susan B Racette, David A Raichlen, Eric Ravussin, John J Reilly, Rebecca M Reynolds, Susan B Roberts, Albertine J Schuit, Anders M Sjödin, Eric Stice, Samuel S Urlacher, Giulio Valenti, Ludo M Van Etten, Edgar A Van Mil, Jonathan C K Wells, George Wilson, Brian M Wood, Jack Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Cornelia U Loechl, Amy H Luke, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, William W Wong, Yosuke Yamada, John R Speakman, Iaea Dlw Database Group
Energy Compensation And Adiposity In Humans, Vincent Careau, Lewis G Halsey, Herman Pontzer, Philip N Ainslie, Lene F Andersen, Liam J Anderson, Lenore Arab, Issad Baddou, Kweku Bedu-Addo, Ellen E Blaak, Stephane Blanc, Alberto G Bonomi, Carlijn V C Bouten, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Graeme L Close, Jamie A Cooper, Sai Krupa Das, Richard Cooper, Lara R Dugas, Simon D Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Annelies H Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Kitty P Kempen, Misaka Kimura, William E Kraus, Robert F Kushner, Estelle V Lambert, William R Leonard, Nader Lessan, Corby K Martin, Anine C Medin, Erwin P Meijer, James C Morehen, James P Morton, Marian L Neuhouser, Theresa A Nicklas, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Roberto A Rabinovich, Susan B Racette, David A Raichlen, Eric Ravussin, John J Reilly, Rebecca M Reynolds, Susan B Roberts, Albertine J Schuit, Anders M Sjödin, Eric Stice, Samuel S Urlacher, Giulio Valenti, Ludo M Van Etten, Edgar A Van Mil, Jonathan C K Wells, George Wilson, Brian M Wood, Jack Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Cornelia U Loechl, Amy H Luke, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, William W Wong, Yosuke Yamada, John R Speakman, Iaea Dlw Database Group
Children’s Nutrition Research Center Staff Publications
Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.
Prediction Of Diabetes Using Logistic Regression And Ensemble Techniques, Priyanka Rajendra, Shahram Latifi
Prediction Of Diabetes Using Logistic Regression And Ensemble Techniques, Priyanka Rajendra, Shahram Latifi
Electrical & Computer Engineering Faculty Research
Background Logistic regression is a classification model in machine learning, extensively used in clinical analysis. It uses probabilistic estimations which helps in understanding the relationship between the dependent variable and one or more independent variables. Diabetes, being one of the most common diseases around the world, when detected early, may prevent the progression of the disease and avoid other complications. In this work, we design a prediction model, that predicts whether a patient has diabetes, based on certain diagnostic measurements included in the dataset, and explore various techniques to boost the performance and accuracy. Methods Logistic Regression is the main …
Discovering Disease-Disease Associations Using Electronic Health Records In The Guideline Advantage (Tga) Dataset, Aixia Guo, Yosef M Khan, James R Langabeer 2nd, Randi E Foraker
Discovering Disease-Disease Associations Using Electronic Health Records In The Guideline Advantage (Tga) Dataset, Aixia Guo, Yosef M Khan, James R Langabeer 2nd, Randi E Foraker
Open Access Publications
Certain diseases have strong comorbidity and co-occurrence with others. Understanding disease-disease associations can potentially increase awareness among healthcare providers of co-occurring conditions and facilitate earlier diagnosis, prevention and treatment of patients. In this study, we utilized the valuable and large The Guideline Advantage (TGA) longitudinal electronic health record dataset from 70 outpatient clinics across the United States to investigate potential disease-disease associations. Specifically, the most prevalent 50 disease diagnoses were manually identified from 165,732 unique patients. To investigate the co-occurrence or dependency associations among the 50 diseases, the categorical disease terms were first mapped into numerical vectors based on disease …