Comparison of the Neurobehavioral Symptom Inventory and the Rivermead Postconcussion Symptoms Questionnaire

Vos, Leia; Whiteneck, Gale G.; Ngan, Esther; Novelo, Luis Leon; Harik, Lindsey; Sherer, Mark

doi:10.1080/02699052.2019.1637024

Cited by 8 publications

(9 citation statements)

References 32 publications

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“…For the RPQ, a cut-off of 16 was reported to show high sensitivity and specificity for persistent post-injury symptoms [69], but both multiple and single injury subgroups in this pilot study scored higher than 16. Other study reported that the data from NSI and RPQ could be combined or converted with each other in chronic TBI sample [70], but our findings cautiously suggest the possibility that the longer reflection period in the NSI may better differentiate the chronic impact of multiple injuries vs. single injury. Indeed, repetitive head injuries have been associated higher risks for severer post-injury symptoms, including cognitive deficits as also shown in our data, and further developing neurological disorders, such as chronic traumatic encephalopathy [53,71] In our knowledge, our study is one of the first to examine peripheral global DNA methylation in association with mTBI, which could contribute to better understanding of underlying biological mechanisms of post-injury symptoms.…”

Section: Discussionmentioning

confidence: 63%

The Long-Term Impact of Mild Traumatic Brain Injuries on Multiple Functional Outcomes and Epigenetics: A Pilot Study with College Students

Lee¹,

Lee²,

Black³

et al. 2020

Preprint

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People who suffer a mild traumatic brain injury (mTBI) have heterogeneous symptoms and disease trajectories, which make it difficult to precisely diagnose and assess complications long-term. Insufficient information is available regarding how to precisely diagnose and assess mTBI. This study identified and compared deficits in cognitive, psychosocial, visual functions, and balance performance between college students with and without histories of mTBI. Global DNA methylation ratio (5-mC%) in blood was also compared as a peripheral epigenetic marker. Twenty-five volunteers participated in this pilot study, including 11 mTBI cases (27.3% females; mean age of 28.7 years, SD=5.92) and 14 healthy controls (64.3% females; mean age of 22.0, SD=4.13). All the participants were assessed for cognitive (by NIH toolbox—executive function, memory, and processing speed), psychological (by PROMIS—depression, anxiety, and sleep disturbances), visual function (by King-Devick and binocular accommodative tests), postural balance performance (by a force plate), and blood 5-mC% (global methylation) levels. Students with mTBI reported significantly poorer episodic memory, severe anxiety, and more sleep disturbance problems. They also had higher blood 5-mC% level (all p’s<.05). No significant differences were found in visual function and postural balance. These findings validate changes in cognitive, psychosocial, and global DNA methylation long after mTBI.

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Section: Discussionmentioning

confidence: 63%

The Long-Term Impact of Mild Traumatic Brain Injuries on Multiple Functional Outcomes and Epigenetics: A Pilot Study with College Students

Lee¹,

Lee²,

Black³

et al. 2020

Preprint

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“…As reported by Vos et al (2019), the NSI is highly correlated (ρ = .89) with the Rivermead Postconcussion Symptoms Questionnaire (N. S. King, Crawford, Wenden, Moss, & Wade, 1995).…”

Section: Resultsmentioning

confidence: 76%

“…For the NSI total score, Cronbach’s alpha ranged from .81 to .96 (P. R. King et al, 2012; Menatti, Melinder, & Warren, 2020; Silva, Barwick, Kretzmer, Vanderploeg, & Belanger, 2013; Soble et al, 2014; Sullivan & Lurie, 2017; Vos et al, 2019). For the three subscales derived by Caplan et al (2010), Cronbach’s alpha ranged from .88 to .93 (somatosensory), .89 to .91 (cognitive), and .87 to .92 (affective; P.…”

Section: Resultsmentioning

confidence: 99%

“…There are three variations of the NSI related to symptom time frame. In the original instructions, individuals were asked to rate each symptom since time of injury (Cicerone & Kalmar, 1995), with subsequent researchers using the modifiers in the past month (e.g., Iverson et al, 2011; Soble et al, 2014) or in the past two weeks (e.g., Belanger et al, 2017; Vos et al, 2019). The 2-week time frame version was selected by the National Institute of Neurological Disorders and Stroke as a supplementary Common Data Element for TBI clinical research (Wilde et al, 2010) and can be accessed from the Military Health System website at https://www.health.mil/Reference-Center/Forms/2015/04/30/Neurobehavioral-Symptom-Inventory-Form (copy and paste the web address into a search browser).…”

Section: Introductionmentioning

confidence: 99%

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Review of the Neurobehavioral Symptom Inventory.

Silva¹

2021

Rehabilitation Psychology

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Purpose/Objective: To describe the psychometrics and utility of the Neurobehavioral Symptom Inventory (NSI) and provide suggestions for clinical usage and future research. Research Method/Design: Thirty studies examining aspects of the NSI, published between 1995 and 2020, were reviewed. Results: The NSI is a 22-item self-report questionnaire of neurobehavioral symptoms. The NSI was first published in 1995 and has since been adopted by the Department of Defense and Department of Veterans affairs for traumatic brain injury (TBI) research and clinical evaluation. Most research on the NSI has been conducted in veteran and military samples with predominantly mild TBI. Cronbach’s alpha ranged from .81 to .96 for the total score and exceeded .80 for most scales. Test–retest values ranged from .78 to .94 for the total score and ranged from .52 to .91 for subscales. Item content overlaps with psychiatric disorders and is expectedly correlated with psychiatric measures and emotional distress. Although consensus about its factor structure is lacking, the 3- and 4-factor solutions have been replicated and have the strongest support. Subsequent researchers have published reliable change indices, embedded validity indices, and normative data using civilian and military samples. Conclusions/Implications: The NSI has acceptable reliability and some evidence supporting its validity in measuring neurobehavioral symptoms. Although not intended to diagnose TBI, the NSI has value for clinicians and researchers in characterizing the presence and severity of symptom complaints and tracking symptomatic change in persons with TBI.

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“…Participants completed an adapted digital Neurobehavioral Symptom Inventory (NSI) 22,23 (eFigure 2 in Supplement 1) on the smartphone with each recording. Data were offloaded via micro-Secure Digital card.…”

Section: Headpulse Recordingsmentioning

confidence: 99%

Headpulse Biometric Measures Following Concussion in Young Adult Athletes

Halabi

Norton

et al. 2023

JAMA Netw Open

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ImportanceConcussions are common in sports. Return-to-play protocols can be enhanced by objective biometrics.ObjectiveTo characterize temporal changes of headpulse, a digital biometric, in athletes with sports-related concussion; to explore the association of unstructured physical activity with headpulse changes.Design, Setting, and ParticipantsThis cohort study included headpulse measurements from players in the highest level of amateur Australian Rules Football in South Australia. Analysis included feasibility and validation phases, with the feasibility cohort recruited between August 5, 2021, and September 10, 2021, and the validation cohort recruited between May 5, 2022, and September 3, 2022. Data were analyzed October 2022 through January 2023.InterventionsCranial accelerometry detected micromovements of the head following cardiac contraction (what we have described as “headpulse”). Headpulse was serially recorded for 1 month in concussed individuals.Main Outcomes and MeasuresHeadpulse waveforms underwent frequency transformation analysis per prespecified algorithm. Result Z scores were calculated. Headpulse Z scores exceeding 2 (2 SDs from control means) met an abnormality threshold. Headpulse sensitivity, timing, and duration of change were determined.ResultsA total of 59 control and 43 concussed individuals (44 total concussions; 1 control also concussed, 1 concussed individual injured twice) provided headpulse measurements. The feasibility cohort (all male) included 17 control (median [IQR] age, 23 [19-28] years) and 15 concussed individuals (median [IQR] age, 21 [19-23] years). The validation cohort included 25 female (median [IQR] age, 21 [20-22] years) and 17 male (median [IQR] age, 26 [23-29] years) control individuals, and 8 female (median [IQR] age, 28 [20-31] years) and 20 male (median [IQR] age, 21 [19-23] years) concussed individuals. Headpulse reached abnormality threshold in 26 of 32 concussed individuals (81%; 9% on day 0, 50% by day 2, 90% by day 14). Headpulse alterations lasted 14 days longer than symptoms and were exacerbated by return-to-play or unsupervised physical activity.Conclusions and RelevanceIn this study of 101 amateur Australian Rules Football athletes, the digital headpulse biometric was evaluated in 44 sports-related concussions. Compared with controls, new headpulse changes occurred after concussion; this objective metric may complement return-to-play protocols.

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Comparison of the Neurobehavioral Symptom Inventory and the Rivermead Postconcussion Symptoms Questionnaire

Cited by 8 publications

References 32 publications

The Long-Term Impact of Mild Traumatic Brain Injuries on Multiple Functional Outcomes and Epigenetics: A Pilot Study with College Students

The Long-Term Impact of Mild Traumatic Brain Injuries on Multiple Functional Outcomes and Epigenetics: A Pilot Study with College Students

Review of the Neurobehavioral Symptom Inventory.

Headpulse Biometric Measures Following Concussion in Young Adult Athletes

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