ID | 116468 |
Author |
Zamami, Yu
University of the Ryukyus
Shinzato, Hotaka
University of the Ryukyus|Hiroshima University
Kurihara, Kazuhiro
University of the Ryukyus
Koda, Munenaga
University of the Ryukyus|Tokushima University
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Nakamura, Akifumi
University of the Ryukyus|Akari Clinic
Kondo, Tsuyoshi
University of the Ryukyus
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Keywords | Autism spectrum disorders
Major depressive episode
Mixed depression
Mixed features specifier
Bipolarity
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Content Type |
Journal Article
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Description | Purpose: The present study aimed to clarify prevalence and profile of depressive mixed state (DMX) in depressed individuals with autism spectrum disorder (ASD).
Patients and methods: The Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning (GAF) were administered to 182 consecutive patients (36 ASD and 146 non-ASD subjects) with a major depressive episode (MDE). DMX was categorically diagnosed according to the criteria for mixed depression (MD) by Benazzi and mixed features (MF) specifier by DSM-5. Severity of DMX was assessed by the self-administered 12-item questionnaire for DMX (DMX-12). Clinical backgrounds and incidence/severity of DMX were compared between the ASD and non-ASD groups. Results: ASD patients showed higher prevalence of MD than non-ASD patients (36.1% versus 18.5%). Mood lability, distractibility, impulsivity, aggression, irritability, dysphoria and risk-taking behavior as mixed symptoms were more prevalent in ASD patients than those in non-ASD patients, together with higher scores of total DMX-12 and its disruptive emotion/behavior cluster. Multiple regression analysis revealed significant contribution of ASD to the disruptive emotion/behavior symptoms. Conclusion: Careful monitoring and management of potential DMX are warranted in depressed ASD individuals. |
Journal Title |
Psychiatry Research
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ISSN | 01651781
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NCID | AA0036432X
AA11538397
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Publisher | Elsevier
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Volume | 300
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Start Page | 113932
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Published Date | 2021-04-19
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Rights | This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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DOI (Published Version) | |
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language |
eng
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TextVersion |
Publisher
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departments |
Integrated Arts and Sciences
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