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Non-fatal disease burden for subtypes of depressive disorder: population-based epidemiological study

Overview of attention for article published in BMC Psychiatry, May 2016
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Title
Non-fatal disease burden for subtypes of depressive disorder: population-based epidemiological study
Published in
BMC Psychiatry, May 2016
DOI 10.1186/s12888-016-0843-4
Pubmed ID
Authors

Karolien E.M. Biesheuvel-Leliefeld, Gemma D. Kok, Claudi L.H. Bockting, Ron de Graaf, Margreet ten Have, Henriette E. van der Horst, Anneke van Schaik, Harm W.J. van Marwijk, Filip Smit

Abstract

Major depression is the leading cause of non-fatal disease burden. Because major depression is not a homogeneous condition, this study estimated the non-fatal disease burden for mild, moderate and severe depression in both single episode and recurrent depression. All estimates were assessed from an individual and a population perspective and presented as unadjusted, raw estimates and as estimates adjusted for comorbidity. We used data from the first wave of the second Netherlands-Mental-Health-Survey-and-Incidence-Study (NEMESIS-2, n = 6646; single episode Diagnostic and Statistical Manual (DSM)-IV depression, n = 115; recurrent depression, n = 246). Disease burden from an individual perspective was assessed as 'disability weight * time spent in depression' for each person in the dataset. From a population perspective it was assessed as 'disability weight * time spent in depression *number of people affected'. The presence of mental disorders was assessed with the Composite International Diagnostic Interview (CIDI) 3.0. Single depressive episodes emerged as a key driver of disease burden from an individual perspective. From a population perspective, recurrent depressions emerged as a key driver. These findings remained unaltered after adjusting for comorbidity. The burden of disease differs between the subtype of depression and depends much on the choice of perspective. The distinction between an individual and a population perspective may help to avoid misunderstandings between policy makers and clinicians.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Master 6 13%
Student > Doctoral Student 5 11%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 6%
Other 9 19%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Psychology 11 23%
Nursing and Health Professions 4 9%
Social Sciences 2 4%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 15 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2017.
All research outputs
#14,550,455
of 23,302,246 outputs
Outputs from BMC Psychiatry
#3,172
of 4,810 outputs
Outputs of similar age
#171,467
of 312,950 outputs
Outputs of similar age from BMC Psychiatry
#63
of 108 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,810 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one is in the 31st percentile – i.e., 31% 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 312,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.