Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain. (25th March 2018)
- Record Type:
- Journal Article
- Title:
- Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain. (25th March 2018)
- Main Title:
- Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain
- Authors:
- Rosenbaum, Michael
Agurs‐Collins, Tanya
Bray, Molly S.
Hall, Kevin D.
Hopkins, Mark
Laughlin, Maren
MacLean, Paul S.
Maruvada, Padma
Savage, Cary R.
Small, Dana M.
Stoeckel, Luke - Abstract:
- Abstract : Background: The responses to behavioral, pharmacological, or surgical obesity treatments are highly individualized. The Accumulating Data to Optimally Predict obesity Treatment (ADOPT) project provides a framework for how obesity researchers, working collectively, can generate the evidence base needed to guide the development of tailored, and potentially more effective, strategies for obesity treatment. Objectives: The objective of the ADOPT biological domain subgroup is to create a list of high‐priority biological measures for weight‐loss studies that will advance the understanding of individual variability in response to adult obesity treatments. This list includes measures of body composition, energy homeostasis (energy intake and output), brain structure and function, and biomarkers, as well as biobanking procedures, which could feasibly be included in most, if not all, studies of obesity treatment. The recommended high‐priority measures are selected to balance needs for sensitivity, specificity, and/or comprehensiveness with feasibility to achieve a commonality of usage and increase the breadth and impact of obesity research. Significance: The accumulation of data on key biological factors, along with behavioral, psychosocial, and environmental factors, can generate a more precise description of the interplay and synergy among them and their impact on treatment responses, which can ultimately inform the design and delivery of effective, tailored obesityAbstract : Background: The responses to behavioral, pharmacological, or surgical obesity treatments are highly individualized. The Accumulating Data to Optimally Predict obesity Treatment (ADOPT) project provides a framework for how obesity researchers, working collectively, can generate the evidence base needed to guide the development of tailored, and potentially more effective, strategies for obesity treatment. Objectives: The objective of the ADOPT biological domain subgroup is to create a list of high‐priority biological measures for weight‐loss studies that will advance the understanding of individual variability in response to adult obesity treatments. This list includes measures of body composition, energy homeostasis (energy intake and output), brain structure and function, and biomarkers, as well as biobanking procedures, which could feasibly be included in most, if not all, studies of obesity treatment. The recommended high‐priority measures are selected to balance needs for sensitivity, specificity, and/or comprehensiveness with feasibility to achieve a commonality of usage and increase the breadth and impact of obesity research. Significance: The accumulation of data on key biological factors, along with behavioral, psychosocial, and environmental factors, can generate a more precise description of the interplay and synergy among them and their impact on treatment responses, which can ultimately inform the design and delivery of effective, tailored obesity treatments. … (more)
- Is Part Of:
- Obesity. Volume 26(2018)Supplement 2
- Journal:
- Obesity
- Issue:
- Volume 26(2018)Supplement 2
- Issue Display:
- Volume 26, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 26
- Issue:
- 2
- Issue Sort Value:
- 2018-0026-0002-0000
- Page Start:
- S25
- Page End:
- S34
- Publication Date:
- 2018-03-25
- Subjects:
- Obesity -- Periodicals
616.398005 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1930-739X ↗
http://www.obesityresearch.org ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/oby.22156 ↗
- Languages:
- English
- ISSNs:
- 1930-7381
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6196.929955
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9066.xml