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The relationship of depression and diabetes: Pathophysiological and treatment implications

Overview of attention for article published in Psychoneuroendocrinology, April 2011
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
7 Wikipedia pages
reddit
1 Redditor

Readers on

mendeley
405 Mendeley
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Article details
Title
The relationship of depression and diabetes: Pathophysiological and treatment implications
Published in
Psychoneuroendocrinology, April 2011
DOI 10.1016/j.psyneuen.2011.03.005
Pubmed ID
Authors
Abstract

Diabetes is a highly prevalent, chronic disease that requires ongoing, multi-specialty medical care combined with patient self-management, family support, and education to prevent or delay end-organ morbidity and mortality. There is clearly an increased prevalence of major depressive disorder, a relatively common and costly central nervous system syndrome, in diabetic patients. During the past two decades, multiple studies reveal that not only are depressive symptoms a risk factor for the development of type 2 diabetes, but they have also been shown to contribute to hyperglycemia, diabetic complications, functional disability and all-cause mortality among diabetic patients. This article reviews studies examining the relationship between depression and diabetes, neurochemical underpinnings of the two disorders, and the diagnosis and treatment of depression associated with diabetes. We examine the validity of rating scales used to diagnose depression in diabetic patients and review the literature on psychotherapeutic and psychopharmacologic management for these patients. The challenges of optimal depression screening and treatment in primary care settings of diabetic patients are currently under close scrutiny, especially regarding their potential impact related to improvements in diabetes-related outcomes and decreased health care costs, be it "depression" or "diabetes" relevant. Much of the current literature regarding the intertwined nature of diabetes and depression is cross-sectional in nature. Future research should focus on longitudinal, prospective studies to determine causal factors. What is clear from the research reviewed in this article is that depression and diabetes should be treated together rather than as isolated diseases. The mind/body dualism is a false dichotomy and a truly team-based approach is necessary to address both issues of depression and diabetes. Collaborative care and the "patient-centered medical home" have emerged as potentially effective interventions to improve quality of care and patient outcomes in patients with depression and medical illnesses such as diabetes.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 <1%
United Kingdom 3 <1%
South Africa 1 <1%
Serbia 1 <1%
Mexico 1 <1%
Greece 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Australia 1 <1%
Other 0 0%
Unknown 391 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 54 13%
Student > Master 53 13%
Student > Ph. D. Student 49 12%
Student > Bachelor 37 9%
Student > Doctoral Student 35 9%
Other 94 23%
Unknown 83 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 137 34%
Psychology 55 14%
Nursing and Health Professions 30 7%
Social Sciences 21 5%
Agricultural and Biological Sciences 21 5%
Other 44 11%
Unknown 97 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 June 2026.
All research outputs
#3,023,908
of 31,970,964 outputs
Outputs from Psychoneuroendocrinology
#826
of 4,268 outputs
Outputs of similar age
#12,593
of 148,787 outputs
Outputs of similar age from Psychoneuroendocrinology
#5
of 22 outputs
Altmetric has tracked 31,970,964 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,268 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has done well, scoring higher than 80% 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 148,787 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 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.