南威尔士中学生自闭症、ADHD特征与幸福感的关系

A. P. Smith, Japnoor Garcha, Arwel James
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摘要

背景:自闭症和注意力缺陷多动障碍(ADHD)被认为是重要的特殊教育需求,对此已有大量研究。许多研究使用已被诊断患有这些疾病的样本,但也有越来越多的趋势将重点放在社区人群的这些特征上,而不仅仅是在被诊断的个体中。最近的研究使用“幸福过程”框架检查了学生的幸福。本研究考察了幸福感(幸福感过程问卷和优势与困难问卷)与中学生自闭症和ADHD特征之间的关系。目的:该研究首次调查了中学生自闭症和多动症特征之间的联系。第二个目的是检验幸福结果和这些特征之间的关系。最后,控制已建立的幸福预测因素的分析检查了自闭症和ADHD特征与幸福结果之间的关联是否仍然显著。方法:采用在线调查方式。参与者是来自威尔士一所中学的155名学生,他们代表了不同的年级。通过相关性和回归来检验变量之间的关联。结果:自闭症与ADHD特征显著相关。这两组特征也与幸福感结果显著相关。当孤独症和注意力缺陷多动障碍(ADHD)特征被纳入同一回归时,ADHD被发现与大多数结果有关,而孤独症特征只与多动、同伴问题和亲社会行为减少有关。当已建立的幸福预测因素也包括在模型中时,ADHD特征只与多动有关,而自闭症与亲社会问题和多动有关。对身体健康没有显著影响。结论:自闭症和ADHD特征重叠。单变量分析显示,这些特征与幸福感之间存在显著关联。然而,当幸福感的既定预测因素被纳入分析时,只有多动和亲社会行为减少仍然与自闭症和多动症特征有关。自闭症和多动症的社会心理特征可能有助于设计干预措施来增加幸福感。例如,自闭症和多动症都与高压力和应对能力差有关,这两种情况都可以通过训练得到改善。
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The Associations between Autistic and ADHD Traits and Well-being of Secondary School Students in South Wales
Background: There has been considerable research on Autism and ADHD, which are recognized as significant special educational needs. Many studies use samples which have been diagnosed with these conditions, but there is also a growing trend to focus on these traits among community populations rather than just among the individuals diagnosed. Recent research has examined the well-being of students using the "well-being process" framework. The present study examined the association between well-being, measured by the Well-being Process Questionnaire and the Strengths and Difficulties Questionnaire, and the autistic and ADHD traits of secondary school students. Aims: The study first examined the associations between autistic and ADHD traits in secondary school students. The second aim was to examine the associations between well-being outcomes and these traits. Finally, analyses controlling for established predictors of well-being examined whether associations between autism and ADHD traits and well-being outcomes remained significant. Methodology: An online survey was carried out. The participants were 155 students from a Welsh Secondary School and represented various year groups. Correlations and regressions were conducted to examine associations between variables. Results: Autistic and ADHD traits were found to be significantly correlated. Both sets of traits were also significantly correlated with well-being outcomes. When autistic and ADHD traits were included in the same regression, ADHD was found to be associated with most outcomes, whereas autistic traits were only associated with hyperactivity, peer problems and reduced prosocial behaviour. When established predictors of well-being were also included in the model, ADHD traits were only associated with hyperactivity and autism with prosocial problems and hyperactivity. There were no significant effects on physical health. Conclusion: Autistic and ADHD traits overlap. Univariate analyses show significant associations between these traits and well-being. However, when established predictors of well-being were included in the analyses, only hyperactivity and reduced prosocial behaviour were still associated with autistic and ADHD traits. The psychosocial profiles of autism and ADHD may help design interventions to increase well-being. For example, both autism and ADHD are associated with high stress and poor coping, both of which may be improved by training.
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