↓ Skip to main content

Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile

Overview of attention for article published in BMC Medicine, May 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

blogs
1 blog
twitter
22 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
330 Dimensions

Readers on

mendeley
528 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
Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile
Published in
BMC Medicine, May 2013
DOI 10.1186/1741-7015-11-129
Pubmed ID
Authors

Brenda WJH Penninx, Yuri Milaneschi, Femke Lamers, Nicole Vogelzangs

Abstract

Depression is the most common psychiatric disorder worldwide. The burden of disease for depression goes beyond functioning and quality of life and extends to somatic health. Depression has been shown to subsequently increase the risk of, for example, cardiovascular, stroke, diabetes and obesity morbidity. These somatic consequences could partly be due to metabolic, immuno-inflammatory, autonomic and hypothalamic-pituitary-adrenal (HPA)-axis dysregulations which have been suggested to be more often present among depressed patients. Evidence linking depression to metabolic syndrome abnormalities indicates that depression is especially associated with its obesity-related components (for example, abdominal obesity and dyslipidemia). In addition, systemic inflammation and hyperactivity of the HPA-axis have been consistently observed among depressed patients. Slightly less consistent observations are for autonomic dysregulation among depressed patients. The heterogeneity of the depression concept seems to play a differentiating role: metabolic syndrome and inflammation up-regulations appear more specific to the atypical depression subtype, whereas hypercortisolemia appears more specific for melancholic depression. This review finishes with potential treatment implications for the downward spiral in which different depressive symptom profiles and biological dysregulations may impact on each other and interact with somatic health decline.

Twitter Demographics

The data shown below were collected from the profiles of 22 tweeters 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 528 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Spain 3 <1%
United Kingdom 2 <1%
India 2 <1%
Brazil 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Unknown 513 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 112 21%
Student > Master 86 16%
Student > Ph. D. Student 83 16%
Researcher 49 9%
Student > Doctoral Student 34 6%
Other 108 20%
Unknown 56 11%
Readers by discipline Count As %
Medicine and Dentistry 163 31%
Psychology 85 16%
Agricultural and Biological Sciences 53 10%
Neuroscience 33 6%
Biochemistry, Genetics and Molecular Biology 26 5%
Other 79 15%
Unknown 89 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 January 2020.
All research outputs
#848,355
of 15,629,510 outputs
Outputs from BMC Medicine
#680
of 2,435 outputs
Outputs of similar age
#9,156
of 157,178 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 15,629,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.1. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 157,178 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
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