Association between fat mass, adipose tissue, fat fraction per adipose tissue, and metabolic risks: a cross-sectional study in normal, overweight, and obese adults.


Journal

European journal of clinical nutrition
ISSN: 1476-5640
Titre abrégé: Eur J Clin Nutr
Pays: England
ID NLM: 8804070

Informations de publication

Date de publication:
01 2019
Historique:
received: 07 11 2017
accepted: 15 02 2018
revised: 19 01 2018
pubmed: 20 4 2018
medline: 7 9 2019
entrez: 20 4 2018
Statut: ppublish

Résumé

We investigated whether fat mass (FM) and total adipose tissue (TAT) can be used interchangeably and FM per TAT adds to metabolic risk assessment. Cross-sectional data were assessed in 377 adults (aged 18-60 years; 51.2% women). FM was measured by either 4-compartment (4C) model or quantitative magnetic resonance (QMR); total-, subcutaneous- and visceral adipose tissue (TAT, SAT, VAT), and liver fat by whole-body MRI; leptin, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), C-reactive protein (CRP), and triglycerides; resting energy expenditure and respiratory quotient by indirect calorimetry were determined. Correlations and stepwise multivariate regression analyses were performed. FM Independent of FM or TAT, FM

Sections du résumé

BACKGROUND/OBJECTIVES
We investigated whether fat mass (FM) and total adipose tissue (TAT) can be used interchangeably and FM per TAT adds to metabolic risk assessment.
SUBJECTS/METHODS
Cross-sectional data were assessed in 377 adults (aged 18-60 years; 51.2% women). FM was measured by either 4-compartment (4C) model or quantitative magnetic resonance (QMR); total-, subcutaneous- and visceral adipose tissue (TAT, SAT, VAT), and liver fat by whole-body MRI; leptin, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), C-reactive protein (CRP), and triglycerides; resting energy expenditure and respiratory quotient by indirect calorimetry were determined. Correlations and stepwise multivariate regression analyses were performed.
RESULTS
FM
CONCLUSIONS
Independent of FM or TAT, FM

Identifiants

pubmed: 29670259
doi: 10.1038/s41430-018-0150-x
pii: 10.1038/s41430-018-0150-x
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

62-71

Auteurs

Mark Hübers (M)

Institute of Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.

Corinna Geisler (C)

Institute of Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.

Anja Bosy-Westphal (A)

Institute of Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.

Wiebke Braun (W)

Institute of Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.

Maryam Pourhassan (M)

Department of Geriatric Medicine, Marien Hospital Herne, Ruhr-University Bochum, Bochum, Germany.

Thorkild I A Sørensen (TIA)

The Novo Nordisk Foundation Center for Basic Metabolic Research (Section on Metabolic Genetics), and the Department of Public Health, The Faculty of Health and Medical Science, University Copenhagen, Copenhagen, Denmark.

Manfred J Müller (MJ)

Institute of Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany. mmueller@nutrfoodsc.uni-kiel.de.

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Classifications MeSH