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Mood disorders in the elderly: prevalence, functional impact, and management challenges

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2016
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
188 Mendeley
Title
Mood disorders in the elderly: prevalence, functional impact, and management challenges
Published in
Neuropsychiatric Disease and Treatment, August 2016
DOI 10.2147/ndt.s94643
Pubmed ID
Authors

Leandro da Costa Lane Valiengo, Florindo Stella, Orestes Vicente Forlenza

Abstract

Despite the lower prevalence of severe mood disorders in the elderly as compared to younger adults, late-life depression and bipolar disorder (BD) are more strongly associated with negative outcomes related to the presence of medical comorbidities, cognitive deficits, and increased suicide risk and overall mortality. The mechanisms that contribute to these associations are probably multifactorial, involving pathological factors related directly and indirectly to the disease itself, ranging from biological to psychosocial factors. Most of the accumulated knowledge on the nature of these associations derives from naturalistic and observational studies, and controlled data are still scarce. Nonetheless, there has clearly been a recent growth of the scientific interest on late-life BD and geriatric depression. In the present study, we review the most relevant studies on prevalence, clinical presentation, and cognitive/functional impact of mood disorders in elderly. Several clinical-epidemiological studies were dedicated to the study of the prevalence of mood disorders in old age in distinct settings; however, fewer studies investigated the underlying neurobiological findings and treatment specificities in late-life depression and BD. In the present study, we further discuss the implications of these findings on the management of mood disorders in older adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Belgium 1 <1%
Unknown 186 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 16%
Student > Master 24 13%
Student > Ph. D. Student 18 10%
Researcher 15 8%
Other 14 7%
Other 35 19%
Unknown 52 28%
Readers by discipline Count As %
Medicine and Dentistry 55 29%
Psychology 29 15%
Nursing and Health Professions 15 8%
Neuroscience 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 20 11%
Unknown 57 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 15 December 2023.
All research outputs
#2,540,766
of 25,779,988 outputs
Outputs from Neuropsychiatric Disease and Treatment
#317
of 3,148 outputs
Outputs of similar age
#45,080
of 382,606 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#19
of 102 outputs
Altmetric has tracked 25,779,988 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 3,148 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 89% 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 382,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.