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Original research| Volume 100, ISSUE 10, P1863-1871, October 2019

National Institutes of Health Toolbox Emotion Battery: Application of Summary Scores to Adults With Spinal Cord Injury, Traumatic Brain Injury, and Stroke

      Abstract

      Objective

      To examine the validity of factor analytically based summary scores that were developed using the National Institutes of Health Toolbox Emotion Battery (NIHTB-EB); (ie, psychological well-being, social satisfaction, negative affect) normative sample in individuals with neurologic conditions.

      Design

      Cross-sectional, observational cohort.

      Setting

      Community.

      Participants

      A total of 1036 English-speaking adults from the National Institutes of Health Toolbox (NIHTB) normative project and 604 community-dwelling adults with neurologic conditions including spinal cord injury (SCI n=209), traumatic brain injury (TBI n=184), and stroke (cerebrovascular accident [CVA] n=211) (N=1640).

      Intervention

      Not applicable.

      Main Outcome Measures

      The NIHTB-EB.

      Results

      A series of univariate analyses comparing summary scores across the 4 groups (SCI, TBI, CVA, normative group) were conducted to identify group differences. Base rates (defined as >1 SD toward the problematic direction) were also identified. The normative group demonstrated better emotional functioning characterized by greater social satisfaction and psychological well-being (normative group > SCI, TBI, CVA; P’s <.0001), and less negative affect (normative group < SCI, P=.016; normative group < TBI, P<.001; normative group < CVA; P=.034) compared with each neurologic group. Using base rates to identify problematic emotions for the 3 summary scores, there were higher rates of problematic emotions on all 3 summary scores for the neurologic groups compared with the normative group.

      Conclusions

      The NIHTB-EB summary scores demonstrate an increased prevalence of problematic emotions among individuals with 3 neurologic conditions, and might be useful for identifying individuals with similar conditions and potentially in need of psychological support.

      Keywords

      List of abbreviations:

      CVA (cerebrovascular accident), NIHTB (National Institutes of Health Toolbox), NIHTB-EB (National Institutes of Health Toolbox Emotion Battery), SCI (spinal cord injury), TBI (traumatic brain injury)
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      References

        • Lyketsos C.G.
        • Kozauer N.
        • Rabins P.V.
        Psychiatric manifestations of neurologic disease: where are we headed?.
        Dialogues Clin Neurosci. 2007; 9: 111-124
        • Lyketsos C.G.
        Lessons from neuropsychiatry.
        J Neuropsychiatry Clin Neurosci. 2006; 18: 445-449
        • Jeste D.V.
        • Friedman J.H.
        Psychiatry for neurologists.
        Humana Press, Totowa, NJ2005
        • Taheria A.
        • Ahadi H.
        • Kashani F.L.
        • Kermani R.A.
        Mental hardiness and social support in life satisfaction of breast cancer patients.
        Procedia Soc Behavioral Sci. 2014; 159: 406-409
        • Post M.W.
        • Ros J.G.
        • Schrijvers A.J.
        Impact of social support on health status and life satisfaction in people with a spinal cord injury.
        Psychology Health. 1999; 14: 679-695
        • Wang Y.P.
        • Gorenstein C.
        Assessment of depression in medical patients: a systematic review of the utility of the Beck Depression Inventory-II.
        Clinics (Sao Paulo). 2013; 68: 1274-1287
        • Berg A.
        • Lonnqvist J.
        • Palomaki H.
        • Kaste M.
        Assessment of depression after stroke: a comparison of different screening instruments.
        Stroke. 2009; 40: 523-529
        • Singh A.
        • Tetreault L.
        • Kalsi-Ryan S.
        • Nouri A.
        • Fehlings M.G.
        Global prevalence and incidence of traumatic spinal cord injury.
        Clin Epidemiol. 2014; 6: 309-331
        • Charlifue S.W.
        • Gerhart K.A.
        Behavioral and demographic predictors of suicide after traumatic spinal cord injury.
        Arch Phys Med Rehabil. 1991; 72: 488-492
        • Hancock K.M.
        • Craig A.R.
        • Dickson H.G.
        • Chang E.
        • Martin J.
        Anxiety and depression over the first year of spinal cord injury: a longitudinal study.
        Paraplegia. 1993; 31: 349-357
        • Kennedy P.
        • Rogers B.A.
        Anxiety and depression after spinal cord injury: a longitudinal analysis.
        Arch Phys Med Rehabil. 2000; 81: 932-937
        • Klyce D.W.
        • Bombardier C.H.
        • Davis T.J.
        • et al.
        Distinguishing grief from depression during acute recovery from spinal cord injury.
        Arch Phys Med Rehabil. 2015; 96: 1419-1425
        • Le J.
        • Dorstyn D.
        Anxiety prevalence following spinal cord injury: a meta-analysis.
        Spinal Cord. 2016; 54: 570-578
        • Migliorini C.
        • Callaway L.
        • New P.
        Preliminary investigation into subjective well-being, mental health, resilience, and spinal cord injury.
        J Spinal Cord Med. 2013; 36: 660-665
        • Salter J.E.
        • Smith S.D.
        • Ethans K.D.
        Positive and negative affect in individuals with spinal cord injuries.
        Spinal Cord. 2013; 51: 252-256
        • Tran J.
        • Dorstyn D.S.
        • Burke A.L.
        Psychosocial aspects of spinal cord injury pain: a meta-analysis.
        Spinal Cord. 2016; 54: 640-648
        • Thurman D.J.
        • Alverson C.
        • Dunn K.A.
        • Guerrero J.
        • Sniezek J.E.
        Traumatic brain injury in the United States: a public health perspective.
        J Head Trauma Rehabil. 1999; 14: 602-615
        • Menon D.K.
        • Schwab K.
        • Wright D.W.
        • Maas A.I.
        Position statement: definition of traumatic brain injury.
        Arch Phys Med Rehabil. 2010; 91: 1637-1640
        • Aboulafia-Brakha T.
        • Allain P.
        • Ptak R.
        Emotion regulation after traumatic brain injury: distinct patterns of sympathetic activity during anger expression and recognition.
        J Head Trauma Rehabil. 2016; 31: E21-E31
        • Fisher A.C.
        • Rushby J.A.
        • McDonald S.
        • Parks N.
        • Piguet O.
        Neurophysiological correlates of dysregulated emotional arousal in severe traumatic brain injury.
        Clin Neurophysiol. 2015; 126: 314-324
        • Shields C.
        • Ownsworth T.
        • O'Donovan A.
        • Fleming J.
        A transdiagnostic investigation of emotional distress after traumatic brain injury.
        Neuropsychol Rehabil. 2016; 26: 410-445
        • Bailie J.M.
        • Cole W.R.
        • Ivins B.
        • et al.
        The experience, expression, and control of anger following traumatic brain injury in a military sample.
        J Head Trauma Rehabil. 2015; 30: 12-20
        • Grauwmeijer E.
        • Heijenbrok-Kal M.H.
        • Ribbers G.M.
        Health-related quality of life 3 years after moderate to severe traumatic brain injury: a prospective cohort study.
        Arch Phys Med Rehabil. 2014; 95: 1268-1276
        • Juengst S.B.
        • Arenth P.M.
        • Whyte E.M.
        • Skidmore E.R.
        Brief report of affective state and depression status after traumatic brain injury.
        Rehabil Psychol. 2014; 59: 242-246
        • Ponsford J.L.
        • Downing M.G.
        • Olver J.
        • et al.
        Longitudinal follow-up of patients with traumatic brain injury: outcome at two, five, and ten years post-injury.
        J Neurotrauma. 2014; 31: 64-77
        • Starkstein S.E.
        • Pahissa J.
        Apathy following traumatic brain injury.
        Psychiatr Clin North Am. 2014; 37: 103-112
        • Valk-Kleibeuker L.
        • Heijenbrok-Kal M.H.
        • Ribbers G.M.
        Mood after moderate and severe traumatic brain injury: a prospective cohort study.
        PLoS One. 2014; 9e87414
        • Carlozzi N.E.
        • Tulsky D.S.
        • Chiaravalloti N.D.
        • et al.
        NIH Toolbox Cognitive Battery (NIHTB-CB): the NIHTB pattern comparison processing speed test.
        J Int Neuropsychol Soc. 2014; 20: 630-641
        • Cole W.R.
        • Bailie J.M.
        Neurocognitive and psychiatric symptoms following mild traumatic brain injury.
        in: Laskowitz D. Grant G. Translational Research in Traumatic Brain Injury. CRC Press, Boca Raton, FL2016
        • Jorge R.E.
        • Starkstein S.E.
        Pathophysiologic aspects of major depression following traumatic brain injury.
        J Head Trauma Rehabil. 2005; 20: 475-487
        • Mozaffarian D.
        • Benjamin E.J.
        • Go A.S.
        • et al.
        Heart disease and stroke statistics-2016 update: a report from the American Heart Association.
        Circulation. 2016; 133: e38-e360
        • Broomfield N.M.
        • Quinn T.J.
        • Abdul-Rahim A.H.
        • Walters M.R.
        • Evans J.J.
        Depression and anxiety symptoms post-stroke/TIA: prevalence and associations in cross-sectional data from a regional stroke registry.
        BMC Neurol. 2014; 14: 198
        • Farinelli M.
        • Panksepp J.
        • Gestieri L.
        • et al.
        Do brain lesions in stroke affect basic emotions and attachment?.
        J Clin Exp Neuropsychol. 2015; 37: 595-613
        • Gillespie D.C.
        Anxiety and working memory after stroke: implications for norm-referenced methods of identifying cognitive deficits.
        J Neurol Neurosurg Psychiatry. 2015; 86: 477-478
        • Hollocks M.J.
        • Lawrence A.J.
        • Brookes R.L.
        • et al.
        Differential relationships between apathy and depression with white matter microstructural changes and functional outcomes.
        Brain. 2015; 138: 3803-3815
        • Balakrishnan P.
        • Rosen H.
        The causes and treatment of pseudobulbar affect in ischemic stroke.
        Curr Treat Options Cardiovasc Med. 2008; 10: 216-222
        • Hackett M.L.
        • Kohler S.
        • O'Brien J.T.
        • Mead G.E.
        Neuropsychiatric outcomes of stroke.
        Lancet Neurol. 2014; 13: 525-534
        • Seale G.S.
        • Berges I.M.
        • Ottenbacher K.J.
        • Ostir G.V.
        Change in positive emotion and recovery of functional status following stroke.
        Rehabil Psychol. 2010; 55: 33-39
        • Carlozzi N.E.
        • Goodnight S.
        • Casaletto K.B.
        • et al.
        Validation of the NIH Toolbox in individuals with neurologic disorders.
        Arch Clin Neuropsychol. 2017; 32 (555-73)
        • Babakhanyan I.
        • McKenna B.S.
        • Casaletto K.B.
        • Nowinski C.J.
        • Heaton R.K.
        National Institutes of Health Toolbox Emotion Battery for English- and Spanish-speaking adults: normative data and factor-based summary scores.
        Patient Relat Outcome Meas. 2018; 9: 115-127
        • Casaletto K.B.
        • Umlauf A.
        • Beaumont J.
        • et al.
        Demographically corrected normative standards for the english version of the NIH toolbox cognition battery.
        J Int Neuropsychol Soc. 2015; 21: 378-391
        • Kirshblum S.C.
        • Burns S.P.
        • Biering-Sorensen F.
        • et al.
        International standards for neurological classification of spinal cord injury (revised 2011).
        J Spinal Cord Med. 2011; 34: 535-546
        • Corrigan J.D.
        • Cuthbert J.P.
        • Whiteneck G.G.
        • et al.
        Representativeness of the traumatic brain injury model systems national database.
        J Head Trauma Rehabil. 2012; 27: 391-403
        • Bothig S.
        WHO MONICA Project: objectives and design.
        Int J Epidemiol. 1989; 18: S29-S37
        • van Swieten J.C.
        • Koudstaal P.J.
        • Visser M.C.
        • Schouten H.J.
        • van Gijn J.
        Interobserver agreement for the assessment of handicap in stroke patients.
        Stroke. 1988; 19: 604-607
        • Enderby P.
        • Wood V.A.
        • Wade D.T.
        • Hewer R.L.
        Aphasia after stroke: a detailed study of recovery in the first 3 months.
        Int Rehabil Med. 1987; 8: 162-165
        • Hanauer D.A.
        • Mei Q.
        • Law J.
        • Khanna R.
        • Zheng K.
        Supporting information retrieval from electronic health records: a report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).
        J Biomed Inform. 2015; 55: 290-300
        • Tulsky D.S.
        • Carlozzi N.E.
        • Holdnack J.
        • et al.
        Using the NIH Toolbox Cognition Battery (NIHTB-CB) in individuals with traumatic brain injury.
        Rehabil Psychol. 2017; 62: 413-424
        • Carlozzi N.E.
        • Tulsky D.S.
        • Wolf T.J.
        • et al.
        Construct validity of the NIH Toolbox Cognition Battery in individuals with stroke.
        Rehabil Psychol. 2017; 62: 443-454
        • Cohen M.L.
        • Tulsky D.S.
        • Holdnack J.A.
        • et al.
        Cognition among community-dwelling individuals with spinal cord injury.
        Rehabil Psychol. 2017; 62: 425-434
        • Salsman J.M.
        • Butt Z.
        • Pilkonis P.A.
        • et al.
        Emotion assessment using the NIH Toolbox.
        Neurology. 2013; 80: S76-S86
        • Salsman J.M.
        • Lai J.S.
        • Hendrie H.C.
        • et al.
        Assessing psychological well-being: self-report instruments for the NIH Toolbox.
        Qual Life Res. 2014; 23: 205-215
        • Cyranowski J.M.
        • Zill N.
        • Bode R.
        • et al.
        Assessing social support, companionship, and distress: National Institute of Health (NIH) Toolbox Adult Social Relationship Scales.
        Health Psychol. 2013; 32: 293-301
        • Kupst M.J.
        • Butt Z.
        • Stoney C.M.
        • et al.
        Assessment of stress and self-efficacy for the NIH Toolbox for neurological and behavioral function.
        Anxiety Stress Coping. 2015; 28: 531-544
        • Pilkonis P.A.
        • Choi S.W.
        • Salsman J.M.
        • et al.
        Assessment of self-reported negative affect in the NIH Toolbox.
        Psychiatry Res. 2013; 206: 88-97
        • Bureau of Labor Statistics
        Persons with a disability: labor force characteristics summary.
        (Available at:)
        • Maryland Population Research Center
        People with disabilities less likely to get married.
        (Available at:)
        • Hammel J.
        • Magasi S.
        • Heinemann A.
        • et al.
        Environmental barriers and supports to everyday participation: a qualitative insider perspective from people with disabilities.
        Arch Phys Med Rehabil. 2015; 96: 578-588
        • Heinemann A.W.
        • Lai J.S.
        • Wong A.
        • et al.
        Using the ICF's environmental factors framework to develop an item bank measuring built and natural environmental features affecting persons with disabilities.
        Qual Life Res. 2016; 25: 2775-2786
        • Heinemann A.W.
        • Magasi S.
        • Hammel J.
        • et al.
        Environmental factors item development for persons with stroke, traumatic brain injury, and spinal cord injury.
        Arch Phys Med Rehabil. 2015; 96: 589-595
        • Heinemann A.W.
        • Miskovic A.
        • Semik P.
        • et al.
        Measuring environmental factors: unique and overlapping international classification of functioning, disability and health coverage of 5 instruments.
        Arch Phys Med Rehabil. 2016; 97: 2113-2122
        • Magasi S.
        • Wong A.
        • Gray D.B.
        • et al.
        Theoretical foundations for the measurement of environmental factors and their impact on participation among people with disabilities.
        Arch Phys Med Rehabil. 2015; 96: 569-577
        • Wong A.W.
        • Ng S.
        • Dashner J.
        • et al.
        Relationships between environmental factors and participation in adults with traumatic brain injury, stroke, and spinal cord injury: a cross-sectional multi-center study.
        Qual Life Res. 2017; 26: 2633-2645