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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
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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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 13%
Student > Master 5 11%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Student > Postgraduate 3 7%
Other 6 13%
Unknown 18 39%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Psychology 5 11%
Neuroscience 4 9%
Nursing and Health Professions 4 9%
Agricultural and Biological Sciences 2 4%
Other 0 0%
Unknown 19 41%
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 25 September 2015.
All research outputs
#18,427,608
of 22,829,083 outputs
Outputs from Annals of General Psychiatry
#366
of 510 outputs
Outputs of similar age
#197,459
of 274,417 outputs
Outputs of similar age from Annals of General Psychiatry
#12
of 14 outputs
Altmetric has tracked 22,829,083 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 510 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.