↓ Skip to main content

Depression and risk of type 2 diabetes: the potential role of metabolic factors

Overview of attention for article published in Molecular Psychiatry, February 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
19 news outlets
blogs
2 blogs
twitter
21 X users
reddit
1 Redditor

Readers on

mendeley
130 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.
Article details
Title
Depression and risk of type 2 diabetes: the potential role of metabolic factors
Published in
Molecular Psychiatry, February 2016
DOI 10.1038/mp.2016.7
Pubmed ID
Authors
Abstract

The aim of the present study was to evaluate the interaction between depressive symptoms and metabolic dysregulations as risk factors for type 2 diabetes. The sample comprised of 2525 adults who participated in a baseline and a follow-up assessment over a 4.5-year period in the Emotional Health and Wellbeing Study (EMHS) in Quebec, Canada. A two-way stratified sampling design was used, on the basis of the presence of depressive symptoms and metabolic dysregulation (obesity, elevated blood sugar, high blood pressure, high levels of triglycerides and decreased high-density lipoprotein). A total of 87 (3.5%) individuals developed diabetes. Participants with both depressive symptoms and metabolic dysregulation had the highest risk of diabetes (adjusted odds ratio=6.61, 95% confidence interval (CI): 4.86-9.01), compared with those without depressive symptoms and metabolic dysregulation (reference group). The risk of diabetes in individuals with depressive symptoms and without metabolic dysregulation did not differ from the reference group (adjusted odds ratio=1.28, 95% CI: 0.81-2.03), whereas the adjusted odds ratio for those with metabolic dysregulation and without depressive symptoms was 4.40 (95% CI: 3.42-5.67). The Synergy Index (SI=1.52; 95% CI: 1.07-2.17) suggested that the combined effect of depressive symptoms and metabolic dysregulation was greater than the sum of individual effects. An interaction between depression and metabolic dysregulation was also suggested by a structural equation model. Our study highlights the interaction between depressive symptoms and metabolic dysregulation as a risk factor for type 2 diabetes. Early identification, monitoring and a comprehensive management approach of both conditions might be an important diabetes prevention strategy.Molecular Psychiatry advance online publication, 23 February 2016; doi:10.1038/mp.2016.7.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Malaysia 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 15%
Student > Ph. D. Student 16 12%
Student > Bachelor 13 10%
Student > Doctoral Student 10 8%
Student > Master 9 7%
Other 23 18%
Unknown 40 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 26 20%
Psychology 14 11%
Biochemistry, Genetics and Molecular Biology 8 6%
Nursing and Health Professions 7 5%
Neuroscience 7 5%
Other 18 14%
Unknown 50 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 155. 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 29 April 2023.
All research outputs
#335,784
of 34,560,275 outputs
Outputs from Molecular Psychiatry
#299
of 6,000 outputs
Outputs of similar age
#4,555
of 337,411 outputs
Outputs of similar age from Molecular Psychiatry
#3
of 72 outputs
Altmetric has tracked 34,560,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.5. This one has done particularly well, scoring higher than 95% 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 337,411 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 98% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.