↓ Skip to main content

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

Overview of attention for article published in PM&R, August 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Gender Dimorphism in Central Adiposity May Explain Metabolic Dysfunction After Spinal Cord Injury
Published in
PM&R, August 2017
DOI 10.1016/j.pmrj.2017.08.436
Pubmed ID
Authors
Abstract

Increase in visceral adipose tissue (VAT) is an independent risk for mortality and other health related comorbidities. 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. 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. Anthropometrics, dual energy 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, intravenous glucose tolerance test and lipid panel were measured. VAT, SAT and Metabolic Profile RESULTS: SAT CSA was 1.6 -1.75 times greater in upper and lower trunks in women compared to men with SCI (P<.05). VAT CSA was 1.8-2.6 times greater in 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. 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). Cholesterol: HDL-C ratio and TG were positively related to upper VAT, lower VAT and VAT: SAT ratio. MRI 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.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Bachelor 5 9%
Student > Master 5 9%
Unspecified 3 5%
Other 2 4%
Other 9 16%
Unknown 23 41%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 9 16%
Medicine and Dentistry 5 9%
Neuroscience 3 5%
Unspecified 3 5%
Computer Science 2 4%
Other 8 14%
Unknown 26 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2018.
All research outputs
#26,805,307
of 32,443,681 outputs
Outputs from PM&R
#1,682
of 1,960 outputs
Outputs of similar age
#275,066
of 347,367 outputs
Outputs of similar age from PM&R
#47
of 50 outputs
Altmetric has tracked 32,443,681 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.