Suppr超能文献

在日本工人中,哪些自闭症特征与抑郁症状有关?

Which autistic traits are related to depressive symptoms in Japanese workers?

机构信息

Department of Public Health, School of Medicine, International University of Health and Welfare, Japan.

Department of Public Health, Kitasato University School of Medicine, Japan.

出版信息

Ind Health. 2020 Oct 8;58(5):414-422. doi: 10.2486/indhealth.2019-0206. Epub 2020 Apr 25.

Abstract

Individuals with autism spectrum disorders are at a high risk of experiencing depressive symptoms. However, the relationship between autistic traits and depressive symptoms is unclear. This study aimed to identify which autistic traits are related to depressive symptoms in Japanese workers. The study participants included 2,049 workers from all areas of Japan. Autistic traits and depressive symptoms were measured using an abridged Japanese version of the Autism-Spectrum Quotient (AQ-Short) and the Japanese version of the K6 scale, respectively. The AQ-Short comprises five autistic trait subcomponents that assess fascination for numbers/patterns, difficulties with imagination, preference for routine, difficulties with social skills, and attention-switching difficulties. Linear regression analyses were performed to estimate the association between total and subcomponent autistic trait scores and depressive symptoms. Participants with higher total autistic trait scores were significantly more likely to have depressive symptoms (p<0.001). When scores on the five autistic trait subcomponents were entered simultaneously into the model, participants with higher scores on all subcomponents other than 'difficulties with imagination' were significantly more likely to report depressive symptoms. Total autistic traits and autistic trait subcomponents could be used for early detection of the risk of depressive symptoms.

摘要

自闭症谱系障碍个体患抑郁症状的风险较高。然而,自闭症特质与抑郁症状之间的关系尚不清楚。本研究旨在确定哪些自闭症特质与日本工人的抑郁症状有关。研究参与者包括来自日本各地的 2049 名工人。自闭症特质和抑郁症状分别使用自闭症谱系商数(AQ-Short)的简化日语版和 K6 量表的日语版进行测量。AQ-Short 包括五个自闭症特质子成分,评估对数字/模式的着迷、想象力困难、常规偏好、社交技能困难和注意力转换困难。进行线性回归分析以估计总自闭症特质评分和子成分与抑郁症状之间的关联。总自闭症特质评分较高的参与者更有可能出现抑郁症状(p<0.001)。当将五个自闭症特质子成分的分数同时输入模型时,除了“想象力困难”之外,所有子成分得分较高的参与者更有可能报告抑郁症状。总的自闭症特质和自闭症特质子成分可用于早期检测抑郁症状的风险。

相似文献

7
Autistic traits as predictors of persistent depression.自闭症特质可预测持续性抑郁。
Eur Arch Psychiatry Clin Neurosci. 2022 Mar;272(2):211-216. doi: 10.1007/s00406-021-01292-6. Epub 2021 Jul 20.

本文引用的文献

2
Mood symptoms and suicidality across the autism spectrum.自闭症谱系中的情绪症状和自杀倾向。
Compr Psychiatry. 2019 May;91:34-38. doi: 10.1016/j.comppsych.2019.03.004. Epub 2019 Apr 3.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验