Literature DB >> 28827208

Gender Dimorphism in Central Adiposity May Explain Metabolic Dysfunction After Spinal Cord Injury.

Ashraf S Gorgey1,2,3,4,5, Gary J Farkas1,2,3,4,5, David R Dolbow1,2,3,4,5, Refka E Khalil1,2,3,4,5, David R Gater1,2,3,4,5.   

Abstract

BACKGROUND: Increase in visceral adipose tissue (VAT) is an independent risk for mortality and other health-related comorbidities.
OBJECTIVE: To examine the gender differences in VAT and subcutaneous adipose tissue (SAT) cross-sectional areas (CSA) between men and women with chronic spinal cord injury (SCI). The differences in the distribution of central adiposity were used to determine the association of VAT and SAT to metabolic dysfunction after SCI.
DESIGN: Cross-sectional design.
SETTING: Hospital-based study. PARTICIPANTS: Sixteen individuals (8 men and 8 women) with motor complete SCI were matched based on age, time since injury, and level of injury.
METHODS: Anthropometrics, dual x-ray absorptiometry (DXA), and magnetic resonance imaging were captured to measure lean mass, fat mass (FM), percentage FM, VAT, and SAT CSAs. Basal metabolic rate was measured, and intravenous glucose tolerance test and lipid panel were performed. MAIN OUTCOME MEASUREMENTS: VAT, SAT, and metabolic profile.
RESULTS: SAT CSA was 1.6 -1.75 times greater in the upper and lower trunks in women compared to men with SCI (P < .05). VAT CSA was 1.8-2.6 times greater in the upper and lower trunks in men compared to women with SCI (P < .05). VAT adjusted to body weight was greater in men compared to women with SCI. High-density lipoprotein cholesterol (HDL-C) was positively related to SAT and negatively related to VAT. Glucose effectiveness was negatively related to lower trunk SAT (r = -0.60, P = .02). HDL-C ratio and triglycerides were positively related to upper VAT, lower VAT, and VAT:SAT ratio.
CONCLUSION: Magnetic resonance imaging demonstrated that there is a gender dimorphism in central adiposity in persons with chronic SCI. This gender dimorphism in central adipose tissue distribution may explain the higher prevalence of metabolic dysfunction in men with SCI, especially, the decrease in the HDL-C profile. LEVEL OF EVIDENCE: IV.
Copyright © 2018 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28827208     DOI: 10.1016/j.pmrj.2017.08.436

Source DB:  PubMed          Journal:  PM R        ISSN: 1934-1482            Impact factor:   2.298


  12 in total

1.  Differences in Glucose Metabolism Among Women With Spinal Cord Injury May Not Be Fully Explained by Variations in Body Composition.

Authors:  Jia Li; Gary R Hunter; Yuying Chen; Amie McLain; Daniel L Smith; Ceren Yarar-Fisher
Journal:  Arch Phys Med Rehabil       Date:  2018-10-12       Impact factor: 3.966

2.  Sex dimorphism in the distribution of adipose tissue and its influence on proinflammatory adipokines and cardiometabolic profiles in motor complete spinal cord injury.

Authors:  Gary J Farkas; Ashraf S Gorgey; David R Dolbow; Arthur S Berg; David R Gater
Journal:  J Spinal Cord Med       Date:  2018-02-21       Impact factor: 1.985

3.  Energy expenditure and nutrient intake after spinal cord injury: a comprehensive review and practical recommendations.

Authors:  Gary J Farkas; Alicia Sneij; David W McMillan; Eduard Tiozzo; Mark S Nash; David R Gater
Journal:  Br J Nutr       Date:  2021-09-23       Impact factor: 4.125

Review 4.  Energy Expenditure Following Spinal Cord Injury: A Delicate Balance.

Authors:  Gary J Farkas; Alicia Sneij; David R Gater
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021

Review 5.  Exercise Interventions Targeting Obesity in Persons With Spinal Cord Injury.

Authors:  David W McMillan; Jennifer L Maher; Kevin A Jacobs; Mark S Nash; David R Gater
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021

Review 6.  Neurogenic Obesity-Induced Insulin Resistance and Type 2 Diabetes Mellitus in Chronic Spinal Cord Injury.

Authors:  Phillip S Gordon; Gary J Farkas; David R Gater
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021

Review 7.  Anthropometric Prediction of Visceral Adiposity in Persons With Spinal Cord Injury.

Authors:  Ashraf S Gorgey; Areej N Ennasr; Gary J Farkas; David R Gater
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021

Review 8.  Neurogenic Obesity and Skeletal Pathology in Spinal Cord Injury.

Authors:  David W McMillan; Mark S Nash; David R Gater; Rodrigo J Valderrábano
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021

9.  Skeletal muscle hypertrophy and attenuation of cardio-metabolic risk factors (SHARC) using functional electrical stimulation-lower extremity cycling in persons with spinal cord injury: study protocol for a randomized clinical trial.

Authors:  Ashraf S Gorgey; Refka E Khalil; John C Davis; William Carter; Ranjodh Gill; Jeannie Rivers; Rehan Khan; Lance L Goetz; Teodoro Castillo; Timothy Lavis; Adam P Sima; Edward J Lesnefsky; Christopher C Cardozo; Robert A Adler
Journal:  Trials       Date:  2019-08-23       Impact factor: 2.279

10.  Anthropometric cutoffs and associations with visceral adiposity and metabolic biomarkers after spinal cord injury.

Authors:  Ryan M Sumrell; Thomas E Nightingale; Liron S McCauley; Ashraf S Gorgey
Journal:  PLoS One       Date:  2018-08-31       Impact factor: 3.240

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