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Direct and indirect influences of childhood abuse on depression symptoms in patients with major depressive disorder

Overview of attention for article published in BMC Psychiatry, October 2015
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Citations

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Title
Direct and indirect influences of childhood abuse on depression symptoms in patients with major depressive disorder
Published in
BMC Psychiatry, October 2015
DOI 10.1186/s12888-015-0636-1
Pubmed ID
Authors

Yumi Hayashi, Yasumasa Okamoto, Koki Takagaki, Go Okada, Shigeru Toki, Takeshi Inoue, Hajime Tanabe, Makoto Kobayakawa, Shigeto Yamawaki

Abstract

It is known that the onset, progression, and prognosis of major depressive disorder are affected by interactions between a number of factors. This study investigated how childhood abuse, personality, and stress of life events were associated with symptoms of depression in depressed people. Patients with major depressive disorder (N = 113, 58 women and 55 men) completed the Beck Depression Inventory-II (BDI-II), the Neuroticism Extroversion Openness Five Factor Inventory (NEO-FFI), the Child Abuse and Trauma Scale (CATS), and the Life Experiences Survey (LES), which are self-report scales. Results were analyzed with correlation analysis and structural equation modeling (SEM), by using SPSS AMOS 21.0. Childhood abuse directly predicted the severity of depression and indirectly predicted the severity of depression through the mediation of personality. Negative life change score of the LES was affected by childhood abuse, however it did not predict the severity of depression. This study is the first to report a relationship between childhood abuse, personality, adulthood life stresses and the severity of depression in depressed patients. Childhood abuse directly and indirectly predicted the severity of depression. These results suggest the need for clinicians to be receptive to the possibility of childhood abuse in patients suffering from depression. SEM is a procedure used for hypothesis modeling and not for causal modeling. Therefore, the possibility of developing more appropriate models that include other variables cannot be excluded.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Unknown 135 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 12%
Student > Ph. D. Student 15 11%
Researcher 15 11%
Student > Postgraduate 12 9%
Student > Master 12 9%
Other 33 24%
Unknown 35 25%
Readers by discipline Count As %
Psychology 50 36%
Medicine and Dentistry 25 18%
Nursing and Health Professions 5 4%
Neuroscience 5 4%
Social Sciences 5 4%
Other 6 4%
Unknown 42 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 November 2015.
All research outputs
#7,180,745
of 24,002,307 outputs
Outputs from BMC Psychiatry
#2,474
of 5,036 outputs
Outputs of similar age
#84,330
of 283,012 outputs
Outputs of similar age from BMC Psychiatry
#35
of 86 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 50% 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 283,012 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 70% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.