↓ Skip to main content

Prevalence and risk factors for depression in women with multiple sclerosis: a study from Iran

Overview of attention for article published in Annals of General Psychiatry, September 2015
Altmetric Badge

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

mendeley
28 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.
Title
Prevalence and risk factors for depression in women with multiple sclerosis: a study from Iran
Published in
Annals of General Psychiatry, September 2015
DOI 10.1186/s12991-015-0069-8
Pubmed ID
Authors

Khadijeh Mohammadi, Parvin Rahnama, Ali Montazeri

Abstract

Multiple sclerosis is increasingly becoming a major health problem among women worldwide. The aim of the present study was to estimate prevalence of depression in women with multiple sclerosis and also to identify risk factors contributing to its development. This was a cross-sectional study of depression in a sample of 226 women with multiple sclerosis. The sample was recruited from an outpatient clinic in Tehran, Iran. Depression was assessed using the Beck Depression Inventory-II (BDI-II). Univariate and multiple logistic regression analyses were performed to examine the association between depression and independent variables. Overall, 91 women (40.2 %) had moderate to severe depression. The mean age of participants was 35.7 years (SD = 8.07). The results obtained from multiple logistic regression analysis showed that the disease course (OR for relapsing-remitting MS = 2.36, % 95 CI = 1.14-5.53, P = 0.46), the expanded disability status scale (OR for score of 5-8 = 4.88, % 95 CI = 2.51-11.06, P < 0.001) and employment status (OR for housewife = 4.75, % 95 CI = 1.55-14.58, P = 0.006) were significant contributing factors to depression in patients with multiple sclerosis. The findings suggest that depression in patients with multiple sclerosis is multi-factorial and very much dependent to physical and social conditions of patients. The recognition of such conditions might help clinicians to manage patients more effectively.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Master 4 14%
Student > Postgraduate 3 11%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Other 3 11%
Unknown 9 32%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Neuroscience 4 14%
Nursing and Health Professions 4 14%
Psychology 3 11%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 9 32%

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 25 September 2015.
All research outputs
#11,518,440
of 14,535,828 outputs
Outputs from Annals of General Psychiatry
#254
of 362 outputs
Outputs of similar age
#170,880
of 249,573 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 18th percentile – i.e., 18% 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 249,573 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them