↓ Skip to main content

Binge Eating among Women Veterans in Primary Care: Comorbidities and Treatment Priorities

Overview of attention for article published in Women's Health Issues, March 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
120 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
Binge Eating among Women Veterans in Primary Care: Comorbidities and Treatment Priorities
Published in
Women's Health Issues, March 2016
DOI 10.1016/j.whi.2016.02.004
Pubmed ID
Authors
Abstract

Little is known about the clinical profile and treatment priorities of women with binge eating disorder (BED), a diagnosis new to the fifth edition of Diagnostic and Statistical Manual of Mental Disorders. We identified comorbidities and patients' treatment priorities, because these may inform implementation of clinical services. Data were collected from women veteran primary care patients. Analyses compared those who screened positive for BED (BED+), and those without any binge eating symptoms (BED-). Frequencies of comorbid medical and psychological disorders were high in the BED+ group. The BED+ group's self-identified most common treatment priorities were mood concerns (72.2%), weight loss (66.7%), and body image/food issues (50%). Among those with obesity, a greater proportion of the BED+ group indicated body image/food issues was their top treatment priority (12.9% vs. 2.8%; p < .01), suggesting that these patients may be more apt to seek treatment beyond weight management for their problematic eating patterns. Women primary care patients with BED demonstrate high medical and psychological complexity; their subjective treatment priorities often match objective needs. These findings may inform the development of targeted BED screening practices for women with obesity in primary care settings, and the eventual adoption of patient-centered BED treatment resources.

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 profiles of 4 X users 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 120 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 120 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 23 19%
Student > Master 12 10%
Student > Doctoral Student 7 6%
Student > Ph. D. Student 7 6%
Researcher 7 6%
Other 10 8%
Unknown 54 45%
Readers by discipline
Readers by discipline Count As %
Psychology 22 18%
Medicine and Dentistry 15 13%
Nursing and Health Professions 10 8%
Social Sciences 5 4%
Computer Science 2 2%
Other 8 7%
Unknown 58 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 July 2016.
All research outputs
#14,598,593
of 25,368,786 outputs
Outputs from Women's Health Issues
#766
of 1,114 outputs
Outputs of similar age
#148,336
of 314,777 outputs
Outputs of similar age from Women's Health Issues
#11
of 18 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one is in the 30th percentile – i.e., 30% 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 314,777 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.