Unpacking the NIH Toolbox Emotion Battery in Persons With Parkinson’s disease

Abstract

AbstractObjectiveExamine the relationship between the National Institutes of Health Toolbox Emotion Battery (Emotion Toolbox) and traditional measures in Parkinson’s disease (PD).MethodPersons with PD (n = 30) and cognitively healthy older adults (OA; n = 40) completed the Emotion Toolbox consisting of Well-Being, Negative Affect, and Social Satisfaction scores along with traditional measures of depression (Beck Depression Inventory-II [BDI-II]), anxiety (State–Trait Anxiety Inventory [STAI]), and apathy (Apathy Scale [AS]); total raw scores).ResultsSeparate bootstrapped analyses of covariance indicated that the PD group scored higher on BDI-II and STAI-State compared to OA (ps < .01); groups did not differ on Emotion Toolbox. In the PD group, bootstrapped partial correlations indicated that Negative Affect was positively related to BDI-II and STAI (ps ≤ .001). Social Satisfaction was negatively related to BDI-II and STAI-Trait (.05 < ps < .004). Psychological Well-Being was negatively related to BDI-II, AS, and STAI (p < .004). No relationships emerged in OA. In the PD group, separate binary logistic regressions showed that traditional measures (BDI-II, AS, and STAI-Trait) correctly classified 79.6% those with formal psychiatric diagnoses (presence vs. absence; p < .011), whereas Emotion Toolbox measures correctly classified 73.3% (p < .019).ConclusionsThe Emotion Toolbox showed moderate-strong correlations with traditional measures in persons with PD. Even so, it did not capture the group differences between PD and OA and had a somewhat lower classification accuracy rate for persons with PD who had a formal psychiatric diagnosis than traditional measures. Together, findings question the utility of the Emotion Toolbox as a stand-alone emotion screener in PD.