Delgado-Gomez David, Peñuelas-Calvo Inmaculada, Masó-Besga Antonio Eduardo, Vallejo-Oñate Silvia, Baltasar Tello Itziar, Arrua Duarte Elsa, Vera Varela María Constanza, Carballo Juan, Baca-García Enrique
Universidad Carlos III, Department of Statistics, Madrid, Spain.
Hospital Universitario Fundación Jiménez Díaz, Child and Adolescents Service, Madrid, Spain.
J Med Internet Res. 2017 Mar 20;19(3):e79. doi: 10.2196/jmir.6985.
One of the major challenges in mental medical care is finding out new instruments for an accurate and objective evaluation of the attention deficit hyperactivity disorder (ADHD). Early ADHD identification, severity assessment, and prompt treatment are essential to avoid the negative effects associated with this mental condition.
The aim of our study was to develop a novel ADHD assessment instrument based on Microsoft Kinect, which identifies ADHD cardinal symptoms in order to provide a more accurate evaluation.
A group of 30 children, aged 8-12 years (10.3 [SD 1.4]; male 70% [21/30]), who were referred to the Child and Adolescent Psychiatry Unit of the Department of Psychiatry at Fundación Jiménez Díaz Hospital (Madrid, Spain), were included in this study. Children were required to meet the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria of ADHD diagnosis. One of the parents or guardians of the children filled the Spanish version of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN) rating scale used in clinical practice. Each child conducted a Kinect-based continuous performance test (CPT) in which the reaction time (RT), the commission errors, and the time required to complete the reaction (CT) were calculated. The correlations of the 3 predictors, obtained using Kinect methodology, with respect to the scores of the SWAN scale were calculated.
The RT achieved a correlation of -.11, -.29, and -.37 with respect to the inattention, hyperactivity, and impulsivity factors of the SWAN scale. The correlations of the commission error with respect to these 3 factors were -.03, .01, and .24, respectively.
Our findings show a relation between the Microsoft Kinect-based version of the CPT and ADHD symptomatology assessed through parental report. Results point out the importance of future research on the development of objective measures for the diagnosis of ADHD among children and adolescents.
精神医疗护理的主要挑战之一是找到用于准确、客观评估注意力缺陷多动障碍（ADHD）的新工具。早期识别ADHD、评估严重程度并及时治疗对于避免这种精神状况带来的负面影响至关重要。
我们研究的目的是开发一种基于微软Kinect的新型ADHD评估工具，该工具可识别ADHD的主要症状，以便提供更准确的评估。
本研究纳入了一组30名8至12岁的儿童（平均年龄10.3岁[标准差1.4]；男性占70%[21/30]），这些儿童被转诊至西班牙马德里希门尼斯·迪亚斯基金会医院精神病科的儿童与青少年精神病科。儿童需符合《精神疾病诊断与统计手册》（DSM-5）中ADHD的诊断标准。儿童的父母或监护人之一填写了临床实践中使用的ADHD症状与正常行为优缺点（SWAN）评定量表的西班牙语版本。每个儿童进行了基于Kinect的连续性能测试（CPT），计算其中的反应时间（RT）、执行错误和完成反应所需时间（CT）。计算了使用Kinect方法获得的3个预测指标与SWAN量表得分之间的相关性。
RT与SWAN量表的注意力不集中、多动和冲动因子的相关性分别为-.11、-.29和-.37。执行错误与这3个因子的相关性分别为-.03、.01和.24。
我们的研究结果表明，基于微软Kinect的CPT版本与通过家长报告评估的ADHD症状之间存在关联。结果指出了未来开展研究以开发用于诊断儿童和青少年ADHD的客观测量方法的重要性。
