Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets-Reference-Cited by-同舟云学术

Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets

Published:2019-05-16 Issue:7 Volume:27 Page:1190-1199
ISSN:1930-7381
Container-title:Obesity
language:en
Short-container-title:Obesity

Author:

Linge Jennifer¹^ORCID,Whitcher Brandon¹²,Borga Magnus¹³⁴,Dahlqvist Leinhard Olof¹⁴⁵

Affiliation:

1. AMRA Medical AB Linköping Sweden

2. Research Centre for Optimal Health University of Westminster London UK

3. Department of Biomedical Engineering Linköping University Linköping Sweden

4. Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden

5. Department of Medical and Health Sciences Linköping University Linköping Sweden

Funder

Pfizer

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oby.22510

Reference26 articles.

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2. German National Cohort (GNC).NAKO Health Study website.https://nako.de/informationen-auf-englisch/. Accessed August 23 2018.

3. Kooperative Gesundheitsforschung in der Region Augsburg (KORA).Helmholtz Zentrum München website.https://www.helmholtz-muenchen.de/en/kora/index.html. Accessed August 23 2018.

4. UK Biobank.http://www.ukbiobank.ac.uk. Accessed August 23 2018.

5. Guidelines (2013) for managing overweight and obesity in adults;Jensen MD;Obesity (Silver Spring),2014

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