Non-linear Associations Between Visceral Adipose Tissue Distribution and Anthropometry-Based Estimates of Visceral Adiposity.
nonlinearity
skeletal muscle
subcutaneous adipose tissue
visceral adipose tissue
waist circumference
waist-to-hip ratio
Journal
Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
11
2021
accepted:
28
02
2022
entrez:
11
4
2022
pubmed:
12
4
2022
medline:
12
4
2022
Statut:
epublish
Résumé
Recent evidence suggests that excess visceral adipose tissue (VAT) is associated with future loss of subcutaneous adipose tissue (SAT) and skeletal muscle (SM) with aging. In clinical settings (abdominal) circumferences are commonly used to estimate body composition (BC). We aimed to study the linearity of VAT distribution ratios (i.e., VAT/SAT ratio and VAT/SM ratio), waist-to-hip ratio (WHR) and waist circumference (WC) with age and the relationship of VAT distribution ratios with anthropometry (i.e., WHR and WC). BC was determined using whole body magnetic resonance imaging in a large multi-ethnic group of 419 adults (42% white, 30% black, 15% Hispanic, 13% Asian, 1% other) with a BMI ranging from 15.9 to 40.8kg/m In both sexes non-linear relationships were found between BC estimates and age, and between BC measures mutually. The ratios of VAT/SAT and VAT/SM showed quadratic relationships with age. VAT distribution ratios showed exponential or quadratic relationships with anthropometry with coefficients of determination ranging between 18 and 55%. In both sexes, VAT distribution ratios showed curvilinear relationships with age and with anthropometry. Given the sex differences in VAT distribution ratios, WHR and WC represent different BC proportions in men and women. These results emphasize the challenge when interpreting changes in BC based upon linear extrapolations in clinical practice.
Sections du résumé
Background
UNASSIGNED
Recent evidence suggests that excess visceral adipose tissue (VAT) is associated with future loss of subcutaneous adipose tissue (SAT) and skeletal muscle (SM) with aging. In clinical settings (abdominal) circumferences are commonly used to estimate body composition (BC). We aimed to study the linearity of VAT distribution ratios (i.e., VAT/SAT ratio and VAT/SM ratio), waist-to-hip ratio (WHR) and waist circumference (WC) with age and the relationship of VAT distribution ratios with anthropometry (i.e., WHR and WC).
Materials and Methods
UNASSIGNED
BC was determined using whole body magnetic resonance imaging in a large multi-ethnic group of 419 adults (42% white, 30% black, 15% Hispanic, 13% Asian, 1% other) with a BMI ranging from 15.9 to 40.8kg/m
Results
UNASSIGNED
In both sexes non-linear relationships were found between BC estimates and age, and between BC measures mutually. The ratios of VAT/SAT and VAT/SM showed quadratic relationships with age. VAT distribution ratios showed exponential or quadratic relationships with anthropometry with coefficients of determination ranging between 18 and 55%.
Conclusion
UNASSIGNED
In both sexes, VAT distribution ratios showed curvilinear relationships with age and with anthropometry. Given the sex differences in VAT distribution ratios, WHR and WC represent different BC proportions in men and women. These results emphasize the challenge when interpreting changes in BC based upon linear extrapolations in clinical practice.
Identifiants
pubmed: 35399665
doi: 10.3389/fnut.2022.825630
pmc: PMC8987197
doi:
Types de publication
Journal Article
Langues
eng
Pagination
825630Informations de copyright
Copyright © 2022 Scafoglieri, Van den Broeck, Cattrysse, Bautmans and Heymsfield.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Curr Med Chem. 2018;25(20):2401-2415
pubmed: 29210643
Ageing Res Rev. 2009 Oct;8(4):339-48
pubmed: 19576300
Front Endocrinol (Lausanne). 2020 May 21;11:332
pubmed: 32508753
Biomed Res Int. 2014;2014:757461
pubmed: 24734243
PLoS One. 2020 Jun 29;15(6):e0235358
pubmed: 32598403
Ann N Y Acad Sci. 2000 May;904:317-26
pubmed: 10865763
PLoS One. 2014 Dec 17;9(12):e115407
pubmed: 25517117
Ageing Res Rev. 2019 Dec;56:100980
pubmed: 31726228
Ann Surg Oncol. 2017 Nov;24(12):3732-3740
pubmed: 28871520
Br J Nutr. 2019 Feb 14;121(3):330-339
pubmed: 30556511
Ageing Res Rev. 2017 May;35:200-221
pubmed: 27702700
Clin Nutr. 2016 Dec;35(6):1347-1353
pubmed: 26972089
Am J Clin Nutr. 1987 Jan;45(1):7-13
pubmed: 3799506
Clin Nutr. 2012 Oct;31(5):583-601
pubmed: 22809635
BMC Gastroenterol. 2019 Jun 13;19(1):87
pubmed: 31195984
Korean J Intern Med. 2016 Nov;31(6):1054-1060
pubmed: 27809450
Nutrition. 2014 Jun;30(6):696-701
pubmed: 24800668
Crit Care. 2018 Mar 6;22(1):58
pubmed: 29510719
Curr Opin Clin Nutr Metab Care. 2019 Jan;22(1):13-19
pubmed: 30461451
Nat Rev Endocrinol. 2020 Mar;16(3):177-189
pubmed: 32020062
Ann N Y Acad Sci. 2000 May;904:502-6
pubmed: 10865795
J Gerontol A Biol Sci Med Sci. 2007 Dec;62(12):1375-81
pubmed: 18166688
J Am Med Dir Assoc. 2013 Mar;14(3):187-93
pubmed: 23168109
Front Endocrinol (Lausanne). 2020 Jan 14;10:861
pubmed: 31993018
Aging Dis. 2013 Dec 15;5(6):373-93
pubmed: 25489489
Diabetes Metab Syndr Obes. 2021 Aug 25;14:3733-3742
pubmed: 34471365
J Appl Physiol (1985). 1998 Jul;85(1):115-22
pubmed: 9655763
J Appl Physiol (1985). 2000 Jul;89(1):81-8
pubmed: 10904038
Prostate Cancer Prostatic Dis. 2021 Aug 21;:
pubmed: 34420038
Nutrition. 2016 Nov-Dec;32(11-12):1231-7
pubmed: 27261062
J Nutr. 2010 May;140(5):954-61
pubmed: 20335625
Aging Clin Exp Res. 2019 Oct;31(10):1539-1540
pubmed: 31368090
Am J Med Sci. 2019 Mar;357(3):213-222
pubmed: 30797502
Metabolism. 2019 Mar;92:121-135
pubmed: 30445141
Lancet Diabetes Endocrinol. 2019 Sep;7(9):715-725
pubmed: 31301983
Metabolism. 2009 Mar;58(3):311-5
pubmed: 19217444
Geroscience. 2021 Feb;43(1):85-110
pubmed: 33528828
Obes Res. 1998 Sep;6 Suppl 2:51S-209S
pubmed: 9813653
Am J Clin Nutr. 1993 Mar;57(3):327-33
pubmed: 8438766
Aging Clin Exp Res. 2003 Aug;15(4):321-7
pubmed: 14661824
Curr Opin Pharmacol. 2020 Jun;52:61-66
pubmed: 32668398
Clin Nutr. 2014 Oct;33(5):737-48
pubmed: 24785098
J Frailty Aging. 2021;10(4):334-336
pubmed: 34549247
Int J Obes Relat Metab Disord. 2001 May;25(5):652-61
pubmed: 11360147
Front Endocrinol (Lausanne). 2021 Nov 10;12:716533
pubmed: 34858322
Cardiovasc Diabetol. 2016 Jan 20;15:9
pubmed: 26790404
Asia Pac J Clin Nutr. 2011;20(3):418-25
pubmed: 21859661
J Appl Physiol (1985). 1996 Dec;81(6):2445-55
pubmed: 9018491