| Title |
Associations among depressive symptoms, childhood abuse, neuroticism, and adult stressful life events in the general adult population
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, February 2017
|
| DOI | 10.2147/ndt.s128557 |
| Pubmed ID | |
| Authors |
Kotaro Ono, Yoshikazu Takaesu, Yukiei Nakai, Akiyoshi Shimura, Yasuyuki Ono, Akiko Murakoshi, Yasunori Matsumoto, Hajime Tanabe, Ichiro Kusumi, Takeshi Inoue |
| Abstract |
Recent studies have suggested that the interactions among several factors affect the onset, progression, and prognosis of major depressive disorder. This study investigated how childhood abuse, neuroticism, and adult stressful life events interact with one another and affect depressive symptoms in the general adult population. A total of 413 participants from the nonclinical general adult population completed the Patient Health Questionnaire-9, the Child Abuse and Trauma Scale, the neuroticism subscale of the shortened Eysenck Personality Questionnaire - Revised, and the Life Experiences Survey, which are self-report scales. Structural equation modeling (Mplus version 7.3) and single and multiple regressions were used to analyze the data. Childhood abuse, neuroticism, and negative evaluation of life events increased the severity of the depressive symptoms directly. Childhood abuse also indirectly increased the negative appraisal of life events and the severity of the depressive symptoms through enhanced neuroticism in the structural equation modeling. There was recall bias in this study. The causal relationship was not clear because this study was conducted using a cross-sectional design. This study suggested that neuroticism is the mediating factor for the two effects of childhood abuse on adulthood depressive symptoms and negative evaluation of life events. Childhood abuse directly and indirectly predicted the severity of depressive symptoms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| Researcher | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 21 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 23% |
| Medicine and Dentistry | 10 | 18% |
| Social Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 25 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 February 2017.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,171
of 3,120 outputs
Outputs of similar age
#308,269
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#56
of 74 outputs
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