Cargando…
The Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures Project: Rationale and Approach
BACKGROUND: Individual variability in response to multiple modalities of obesity treatment is well documented yet our understanding of why some individuals respond while others do not is limited. The etiology of this variability is multi-factorial, but at present we lack a comprehensive evidence bas...
Autores principales: | MacLean, Paul S., Rothman, Alexander J., Nicastro, Holly L., Czajkowski, Susan M., Agurs-Collins, Tanya, Rice, Elise L., Courcoulas, Anita P., Ryan, Donna H., Bessesen, Daniel H., Loria, Catherine M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973529/ https://www.ncbi.nlm.nih.gov/pubmed/29575780 http://dx.doi.org/10.1002/oby.22154 |
Ejemplares similares
-
Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core measures: Behavioral Domain
por: Lytle, Leslie A., et al.
Publicado: (2018) -
Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures: Psychosocial Domain
por: Sutin, Angelina R., et al.
Publicado: (2018) -
The Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain
por: Rosenbaum, Michael, et al.
Publicado: (2018) -
The Many Faces of Obesity and Its Influence on Breast Cancer Risk
por: Agurs-Collins, Tanya, et al.
Publicado: (2019) -
Will web-based research suffice when collecting U.S. school district policies? The case of physical education and school-based nutrition policies
por: Chriqui, Jamie F, et al.
Publicado: (2008)