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Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.
Zoh, Roger S; Esteves, Bridget H; Yu, Xiaoxin; Fairchild, Amanda J; Vazquez, Ana I; Chapple, Andrew G; Brown, Andrew W; George, Brandon; Gordon, Derek; Landsittel, Douglas; Gadbury, Gary L; Pavela, Greg; de Los Campos, Gustavo; Mestre, Luis M; Allison, David B.
Afiliación
  • Zoh RS; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.
  • Esteves BH; Glanbia Performance Nutrition, Downers Grove, Illinois, USA.
  • Yu X; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.
  • Fairchild AJ; Department of Psychology, University of South Carolina, Columbia, South Carolina, USA.
  • Vazquez AI; Department of Epidemiology and Biostatistics, Michigan State University, Lansing, Michigan, USA.
  • Chapple AG; Biostatistics Program, School of Public Health, LSU Health Sciences Center, New Orleans, Louisiana, USA.
  • Brown AW; Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.
  • George B; College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
  • Gordon D; Department of Genetics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Landsittel D; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.
  • Gadbury GL; Department of Statistics, Kansas State University, Manhattan, Kansa, USA.
  • Pavela G; Department of Health Behavior, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • de Los Campos G; Departments of Epidemiology & Biostatistics and Statistics & Probability, IQ - Institute for Quantitative Health Science and Engineering, Michigan State University, Lansing, Michigan, USA.
  • Mestre LM; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
  • Allison DB; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.
Obes Rev ; 24(12): e13635, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37667550
ABSTRACT
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 heterogeneity in nutrition and obesity research. Our goal is to educate nutrition and obesity researchers in how to correctly identify and consider treatment response heterogeneity when analyzing data and interpreting results, leading to rigorous and accurate advancements in the field of personalized medicine.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dieta / Obesidad Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Obes Rev Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dieta / Obesidad Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Obes Rev Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos