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Fox RS, Zhang M, Amagai S, Bassard A, Dworak EM, Han YC, Kassanits J, Miller CH, Nowinski CJ, Giella AK, Stoeger JN, Swantek K, Hook JN, Gershon RC. Uses of the NIH Toolbox® in Clinical Samples: A Scoping Review. Neurol Clin Pract 2022; 12:307-319. [PMID: 36382124 PMCID: PMC9647815 DOI: 10.1212/cpj.0000000000200060] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/10/2022] [Indexed: 11/15/2022]
Abstract
Background and Objectives The NIH Toolbox® for the Assessment of Neurologic and Behavioral Function is a compilation of computerized measures designed to assess sensory, motor, emotional, and cognitive functioning of individuals across the life span. The NIH Toolbox was initially developed for use with the general population and was not originally validated in clinical populations. The objective of this scoping review was to assess the extent to which the NIH Toolbox has been used with clinical populations. Methods Guided by the Joanna Briggs Methods Manual for Scoping Reviews, records were identified through searches of PubMed MEDLINE, PsycINFO, ClinicalTrials.gov, EMBASE, and ProQuest Dissertations and Theses Global (2008-2020). Database searches yielded 5,693 unique titles of original research that used at least one NIH Toolbox assessment in a sample characterized by any clinical diagnosis. Two reviewers screened titles, abstracts, and full texts for inclusion in duplicate. Conflicts at each stage of the review process were resolved by a group discussion. Results Ultimately, 281 publication records were included in this scoping review (nJournal Articles = 104, nConference Abstracts = 84, nClinical Trial Registrations = 86, and nTheses/Dissertations = 7). The NIH Toolbox Cognition Battery was by far the most used of the 4 batteries in the measurement system (nCognition = 225, nEmotion = 49, nMotor = 29, and nSensation = 16). The most represented clinical category was neurologic disorders (n = 111), followed by psychological disorders (n = 39) and cancer (n = 31). Most (96.8%) of the journal articles and conference abstracts reporting the use of NIH Toolbox measures with clinical samples were published in 2015 or later. As of May 2021, these records had been cited a total of nearly 1,000 times. Discussion The NIH Toolbox measures have been widely used among individuals with various clinical conditions across the life span. Our results lay the groundwork to support the feasibility and utility of administering the NIH Toolbox measures in research conducted with clinical populations and further suggest that these measures may be of value for implementation in fast-paced clinical settings as part of routine practice.
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Affiliation(s)
- Rina S Fox
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Manrui Zhang
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Saki Amagai
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Adrianna Bassard
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Elizabeth M Dworak
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Y Catherine Han
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Jessica Kassanits
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Corinne H Miller
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Cindy J Nowinski
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Amy K Giella
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Jordan N Stoeger
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Kathleen Swantek
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Julie N Hook
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
| | - Richard C Gershon
- Northwestern University (RSF, MZ, SA, AB, EMD, YCH, JK, CHM, CJN, AKG, JNS, KS, JNH, RCG), Chicago, IL; and University of Arizona (RSF), Tucson
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Abstract
BACKGROUND Eating disorders are a significant cause of morbidity and mortality. The etiology and maintenance of eating-disorder symptoms are not well understood. Evidence suggests that there may be gustatory alterations in patients with eating disorders. OBJECTIVE This article systematically reviews research assessing gustatory differences in patients with anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED). METHOD A systematic review was performed, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, examining taste and eating disorders. We reviewed electronic databases and identified 1,490 peer-reviewed English-language studies. Of these, 49 met inclusion criteria. RESULTS Studies employed psychophysical measures (n = 27), self-reported questionnaires (n = 5), and neuroimaging techniques (i.e., electroencephalography, functional magnetic resonance imaging; n = 17). Psychophysical studies showed that individuals with BN, in general, had greater preference for sweetness than healthy controls, and those with AN had a greater aversion for fat than controls. In neuroimaging studies, findings suggested that predictable administration of sweet-taste stimuli was associated with reduced activation in taste-reward regions of the brain among individuals with AN (e.g., insula, ventral, and dorsal striatum) but increased activation in BN and BED. DISCUSSION To our knowledge, this systematic review is the first to synthesize literature on taste differences in AN, BN, and BED. The inconsistency and variability in methods used across studies increased difficulties in comparing studies and disease processes. Further studies with well-defined population parameters are warranted to better understand how taste varies in patients with eating disorders.
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Affiliation(s)
- Ariana M. Chao
- Department of Biobehavioral Health Sciences, The University of Pennsylvania School of Nursing, Philadelphia, PA, USA
- Center for Weight and Eating Disorders, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Abhrarup Roy
- Sensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA
| | - Alexis T. Franks
- Sensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA
| | - Paule V. Joseph
- Sensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA
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Goodman EL, Breithaupt L, Watson HJ, Peat CM, Baker JH, Bulik CM, Brownley KA. Sweet taste preference in binge-eating disorder: A preliminary investigation. Eat Behav 2018; 28:8-15. [PMID: 29202335 DOI: 10.1016/j.eatbeh.2017.11.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 10/17/2017] [Accepted: 11/15/2017] [Indexed: 10/18/2022]
Abstract
Research suggests that individuals with high liking for sweets are at increased risk for binge eating, which has been minimally investigated in individuals with binge-eating disorder (BED). Forty-one adults (85% female, 83% white) with binge eating concerns completed a sweet taste test and measures of eating disorder behaviors and food cravings. A subset of participants with BED completed an oral glucose tolerance test (OGTT; N=21) and a 24-hour dietary recall (N=26). Regression models were used to compare highest sweet preferers (HSP [N=18]) to other sweet preferers (OSP [N=23]) and were used to assess associations between sweet taste preference and outcome variables. Effect sizes (ηp2) for differences between HSP and OSP ranged from small (≤0.01) to large (≥0.24); group differences were statistically nonsignificant except for 24-hour caloric intake (ηp2=0.16, p=0.04), protein intake (ηp2=0.16, p=0.04), and insulin sensitivity index (ηp2=0.24, p=0.04), which were higher in HSP, and postprandial insulin, which was smaller in HSP (ηp2=0.27, p=0.03). Continuous analyses replicated postprandial insulin response. Compared with OSP, HSP reported numerically higher binge-eating frequency (ηp2=0.04), over-eating frequency (ηp2=0.06), and carbohydrate intake (ηp2=0.14), and they exhibited numerically smaller postprandial glucose AUC (ηp2=0.16). Sweet taste preference may have implications for glucose regulation, binge-eating frequency, and nutrient intake in BED.
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Affiliation(s)
- Erica L Goodman
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States; Department of Psychology, University of North Dakota, United States
| | - Lauren Breithaupt
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States; Department of Psychology, George Mason University, United States; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Hunna J Watson
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States; School of Psychology and Speech Pathology, Curtin University, Perth, Australia; School of Paediatrics and Child Health, The University of Western Australia, Perth, Australia
| | - Christine M Peat
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States; Department of Neurosurgery, University of North Carolina at Chapel Hill, United States
| | - Jessica H Baker
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Nutrition, University of North Carolina at Chapel Hill, United States
| | - Kimberly A Brownley
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States.
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