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Pathological Conditions, Signs and Symptoms Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Pathological Conditions, Signs and Symptoms
Design, Analysis, And Interpretation Of Treatment Response Heterogeneity In Personalized Nutrition And Obesity Treatment Research, Roger S. Zoh, Bridget H. Esteves, Xiaoxin Yu, Amanda J. Fairchild, Ana I. Vazquez, Andrew G. Chapple, Andrew W. Brown, Brandon George, Derek Gordon, Douglas Landsittel, Gary L. Gadbury, Greg Pavela, Gustavo De Los Campos, Luis M. Mestre, David B. Allison
Design, Analysis, And Interpretation Of Treatment Response Heterogeneity In Personalized Nutrition And Obesity Treatment Research, Roger S. Zoh, Bridget H. Esteves, Xiaoxin Yu, Amanda J. Fairchild, Ana I. Vazquez, Andrew G. Chapple, Andrew W. Brown, Brandon George, Derek Gordon, Douglas Landsittel, Gary L. Gadbury, Greg Pavela, Gustavo De Los Campos, Luis M. Mestre, David B. Allison
School of Public Health Faculty Publications
It is increasingly assumed that there is no one-size-fits-all approach to dietary recommendations for the management and treatment of chronic diseases such as obesity. This phenomenon that not all individuals respond uniformly to a given treatment has become an area of research interest given the rise of personalized and precision medicine. To conduct, interpret, and disseminate this research rigorously and with scientific accuracy, however, requires an understanding of treatment response heterogeneity. Here, we define treatment response heterogeneity as it relates to clinical trials, provide statistical guidance for measuring treatment response heterogeneity, and highlight study designs that can quantify treatment response …
An Examination Of The Relationships Between The Neighborhood Social Environment, Adiposity, And Cardiometabolic Disease Risk In Adolescence: A Cross-Sectional Study, Kara D. Denstel, Robbie A. Beyl, Denise M. Danos, Maura M. Kepper, Amanda E. Staiano, Katherine T. Theall, Tung Sung Tseng, Stephanie T. Broyles
An Examination Of The Relationships Between The Neighborhood Social Environment, Adiposity, And Cardiometabolic Disease Risk In Adolescence: A Cross-Sectional Study, Kara D. Denstel, Robbie A. Beyl, Denise M. Danos, Maura M. Kepper, Amanda E. Staiano, Katherine T. Theall, Tung Sung Tseng, Stephanie T. Broyles
School of Public Health Faculty Publications
Background: Disadvantaged neighborhood environments are a source of chronic stress which undermines optimal adolescent health. This study investigated relationships between the neighborhood social environment, specifically, chronic stress exposures, adiposity, and cardiometabolic disease risk factors among 288 Louisiana adolescents aged 10 to 16 years. Methods: This cross-sectional study utilized baseline data from the Translational Investigation of Growth and Everyday Routines in Kids (TIGER Kids) study. Adolescent data were obtained using self-reported questionnaires (demographics and perceived neighborhood disorder), anthropometry, body imaging, and a blood draw while objective neighborhood data for the concentrated disadvantage index were acquired from the 2016 American Community Survey …
Sugar-Sweetened Beverages Intake, Abdominal Obesity, And Inflammation Among Us Adults Without And With Prediabetes—An Nhanes Study, Wei Ting Lin, Yu Hsiang Kao, Mirandy S. Li, Ting Luo, Hui Yi Lin, Chien Hung Lee, David W. Seal, Chih Yang Hu, Lei Shih Chen, Tung-Sung Tseng
Sugar-Sweetened Beverages Intake, Abdominal Obesity, And Inflammation Among Us Adults Without And With Prediabetes—An Nhanes Study, Wei Ting Lin, Yu Hsiang Kao, Mirandy S. Li, Ting Luo, Hui Yi Lin, Chien Hung Lee, David W. Seal, Chih Yang Hu, Lei Shih Chen, Tung-Sung Tseng
School of Public Health Faculty Publications
Excessive sugar-sweetened beverages (SSB) consumption and abdominal obesity have been independently linked to numerous disorders, including diabetes and elevated C-reactive protein (CRP). This study aimed to explore the association between SSB intake, abdominal obesity, and inflammation in normal and prediabetic adults. Sugar intake from SSBs was calculated from 24-h dietary recalls and further classified into non-, medium-, and high-intake. The status of non- and prediabetes was identified based on hemoglobin A1c level. All analyses were performed under a survey module with appropriate sampling weights to control for the complex survey design. A total of 5250 eligible adults without diabetes were …