Expertise Center Adult ADHD, PsyQ, The Hague, The Netherlands.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Int J Geriatr Psychiatry. 2019 Oct;34(10):1526-1533. doi: 10.1002/gps.5163. Epub 2019 Jul 5.
Attention-deficit/hyperactivity disorder (ADHD) persists into old age, with prevalence rates of 2.8% to 3.3% in adults over 60 years of age. Most diagnostic assessment tools are not validated for older adults. The Quantified behavioral Test (QbTest) is an objective assessment for the core symptoms of ADHD and is validated for children and younger adults. We investigated whether the QbTest can be used to differentiate between older adults with ADHD and healthy controls.
Older adults aged 55 to 79 years with (n = 97) or without (n = 112) ADHD were assessed with the QbTest. They also rated their ADHD symptom severity. QbTest raw scores were compared between groups. Factor scores were computed using factor loadings from a confirmatory factor analysis (CFA). Multilevel regressions were used to determine effects of background characteristics and comorbidity. Logistic regressions were performed to determine whether the QbTest differentiated between patients with ADHD and healthy controls.
The factor structure of the CFA was comparable with that of younger age groups. Older age was associated with higher Inattention score. Parameters comprising the factors Hyperactivity and Inattention, but not Impulsivity, were shown to contribute significantly in differentiating between the groups. The QbTest had a correct classification rate of 70%, which was increased to 91% when combining QbTest scores and self-reports of ADHD symptom severity.
The QbTest is feasible for older adults, and the factors Hyperactivity and Inattention are valid parameters for the diagnostic assessment of ADHD in older adults, when used in addition to self-reports.
注意缺陷多动障碍(ADHD)持续至老年期,60 岁以上成年人的患病率为 2.8%至 3.3%。大多数诊断评估工具都没有经过老年人的验证。量化行为测试(QbTest)是 ADHD 核心症状的客观评估方法,已在儿童和年轻成人中得到验证。我们研究了 QbTest 是否可用于区分患有 ADHD 的老年患者和健康对照组。
评估年龄在 55 至 79 岁的有(n=97)或无(n=112)ADHD 的老年人的 QbTest。他们还评估了自己 ADHD 症状的严重程度。比较两组间 QbTest 原始分数。使用验证性因子分析(CFA)的因子载荷计算因子分数。使用多层回归确定背景特征和合并症的影响。进行逻辑回归以确定 QbTest 是否可以区分 ADHD 患者和健康对照组。
CFA 的因子结构与年轻年龄组相似。年龄较大与注意力不集中评分较高相关。组成多动和注意力不集中因子的参数,但不是冲动性参数,表明可显著区分组间差异。QbTest 的正确分类率为 70%,当将 QbTest 评分和 ADHD 症状严重程度的自我报告相结合时,该分类率提高至 91%。
QbTest 适用于老年人,当与自我报告相结合时,多动和注意力不集中因子是诊断评估老年人 ADHD 的有效参数。