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Not all depression is created equal: sex interacts with disease to precipitate depression

Overview of attention for article published in Biology of Sex Differences, April 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

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7 X users
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1 Facebook page

Citations

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57 Mendeley
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Title
Not all depression is created equal: sex interacts with disease to precipitate depression
Published in
Biology of Sex Differences, April 2013
DOI 10.1186/2042-6410-4-8
Pubmed ID
Authors

Christina L Nemeth, Constance S Harrell, Kevin D Beck, Gretchen N Neigh

Abstract

Depression is a common mental disorder that co-occurs in other neurological and somatic diseases. Further, sex differences exist in the prevalence rates of many of these diseases, as well as within non-disease associated depression. In this review, the case is made for needing a better recognition of the source of the symptoms of depression with respect to the sex of the individual; in that, some disease states, which includes the neuroendocrine and immune reactions to the underlying pathophysiology of the disease, may initiate depressive symptoms more often in one sex over the other. The diseases specifically addressed to make this argument are: epilepsy, Alzheimer's disease, cancer, and cardiovascular disease. For each of these conditions, a review of the following are presented: prevalence rates of the conditions within each sex, prevalence rates of depressive symptoms within the conditions, identified relationships to gonadal hormones, and possible interactions between gonadal hormones, adrenal hormones, and immune signaling. Conclusions are drawn suggesting that an evaluation of the root causes for depressive symptoms in patients with these conditions is necessary, as the underlying mechanisms for eliciting the depressive symptoms may be qualitatively different across the four diseases discussed. This review attempts to identify and understand the mechanisms of depression associated with these diseases, in the context of the known sex differences in the disease prevalence and its age of onset. Hence, more extensive, sex-specific model systems are warranted that utilize these disease states to elicit depressive symptoms in order to create more focused, efficient, and sex-specific treatments for patients suffering from these diseases and concurrent depressive symptoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Other 6 11%
Researcher 5 9%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 13 23%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Agricultural and Biological Sciences 9 16%
Psychology 8 14%
Neuroscience 6 11%
Nursing and Health Professions 2 4%
Other 5 9%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 October 2023.
All research outputs
#6,985,306
of 24,942,536 outputs
Outputs from Biology of Sex Differences
#246
of 560 outputs
Outputs of similar age
#54,894
of 202,192 outputs
Outputs of similar age from Biology of Sex Differences
#2
of 3 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has gotten more attention than average, scoring higher than 55% 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 202,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.