Diabetes and depression
Diabetologe, ISSN: 1860-9724, Vol: 12, Issue: 5, Page: 346-351
2016
- 1Citations
- 12Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Background: One of four patients with type 2 diabetes mellitus (T2DM) has clinically relevant depression. On the other hand, depression increases the risk for T2DM as well as micro- and macrovascular complications. Objectives: This association may reflect a shared pathophysiology consisting of complex bidirectional interactions, which may influence therapy and prognosis. Materials and methods: Recent findings, reviews and basic literature are analysed and an update is presented and discussed. Results: Overall, accumulating evidence indicates a metabolic–mood syndrome with a linkage that includes stress sensitivity, insulin resistance (IR), neurohormonal dysregulation and inflammation. IR alters dopamine turnover and causes depression-like behaviour. Furthermore IR is associated with worse memory performance. Metabolic risk influences neurodevelopment. However, cross-sectional data do not support a genetic association between T2DM and depression. Conclusions: T2DM may promote depression and interact with neurodevelopment and neurodegeneration. Comorbidity seems to be particularly toxic. Both prevention of T2DM in depressed patients and treatment of depression in T2DM are of considerable significance. Serotonin reuptake inhibition (SSRI) and psychotherapy are effective in the treatment of depression.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84978128286&origin=inward; http://dx.doi.org/10.1007/s11428-016-0116-3; http://link.springer.com/10.1007/s11428-016-0116-3; http://link.springer.com/content/pdf/10.1007/s11428-016-0116-3; http://link.springer.com/content/pdf/10.1007/s11428-016-0116-3.pdf; http://link.springer.com/article/10.1007/s11428-016-0116-3/fulltext.html; https://dx.doi.org/10.1007/s11428-016-0116-3; https://link.springer.com/article/10.1007/s11428-016-0116-3
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know