C-90NIH Toolbox Emotion Domain: Exploration of Emotion Summary Scores and Demographic Effects in the US Standardization Norming Study

Babakhanyan, Ida; Casaletto, Kaitlin B.; Heaton, Robert K.

doi:10.1093/arclin/acv047.292

Cited by 2 publications

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“…The psychological constructs captured by these composite scores map reasonably well onto three of the four subdomains originally chosen on theoretical grounds by the team of researchers working to create the NIHTB-EBs (i.e., Negative Affect, Psychological Well-Being, Stress and Self-Efficacy, and Social Relationships; Gershon et al, 2013; Nowinski et al, 2013; Salsman et al, 2013). The Stress and Self-Efficacy subdomain, however, is not represented by a composite score in any of the child age groups (or in the adult English-speaking or Spanish-speaking groups; Babakhanyan et al, 2015; (Babakhanyan, McKenna, Casaletto and Heaton, 2018). This was expected in the proxy-report battery for children aged 3 to 7 years, in which this subdomain was purposefully not assessed (Salsman et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, while each of the 31 total measures (i.e., 16 proxy-report and 15 self-report) that comprise the NIHTB-EBs for children can be considered separately as unique entities, the creation of composite scores may be useful in examining broader constructs of emotional functioning. Composite scores have been created for other NIHTB assessments, including the NIHTB Cognition Battery for adults (Heaton et al, 2014), the NIHTB Cognition Battery for children (Akshoomoff et al, 2013), and the NIHTB-EB for adults (Babakhanyan, Casaletto, & Heaton, 2015;Babakhanyan, I., McKenna, B. S., Casaletto, K. B., & Heaton, R. K. 2018). The primary goal of the current study was to empirically examine the major constructs assessed by each of the four NIHTB-EBs for children, using factor analyses of data from the U.S. national normative sample of 2,916 Englishspeaking children.…”

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confidence: 99%

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NIH Toolbox® Emotion Batteries for Children: Factor-Based Composites and Norms

et al. 2018

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The recently released National Institutes of Health Toolbox (NIHTB) batteries for neurological and behavioral function were designed to serve as standardized, common measures in clinical and epidemiological research. The current study aimed to examine constructs assessed by the self-report and parental proxy-report scales in the NIHTB Emotion Battery (NIHTB-EB) for Children by using factor analyses on data from the U.S. national normative sample of 2,916 English-speaking children. This battery contains 31 scales designed to assess both positive and negative aspects of social and emotional functioning that are considered developmentally relevant at each of three age ranges (3-7, 8-12, and 13-17 years). Results revealed four similar self-report factors for ages 8 to 12 years and 13 to 17 years. Proxy reports for ages 3 to 7 years revealed three factors, and for ages 8 to 12 years two factors. Based on the standardization sample data, age- and gender-corrected norms are presented for all NIHTB-EB individual scales and factor-based composites.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

NIH Toolbox® Emotion Batteries for Children: Factor-Based Composites and Norms

et al. 2018

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“…The emotion battery was created to develop a set of measures that is sensitive to changes in health status and function over time (Salsman et al, 2013). Through self-report surveys, the battery assesses multiple emotional domains: with factor analysis-derived composites of psychological well-being, negative affect, and social satisfaction (Babakhanyan, Casaletto, & Heaton, 2015; Babakhanyan, McKenna, Casaletto, & Heaton, 2016; Salsman et al, 2013).…”

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confidence: 99%

Racial Differences in Neurocognitive Outcomes Post-Stroke: The Impact of Healthcare Variables

Johnson

Marquine

Flores

et al. 2017

J Int Neuropsychol Soc

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Objective The present study examined differences in neurocognitive outcomes among non-Hispanic Black and White stroke survivors utilizing the NIH Toolbox-Cognition Battery (NIHTB-CB), and investigated the roles of healthcare variables in explaining racial differences in neurocognitive outcomes post-stroke. Method One-hundred-seventy adults (91 Black; 79 White), who participated in a multisite study were included (Age: M=56.4, SD=12.6; Education: M=13.7, SD=2.5; 50% male; Years post-stroke: 1–18; Stroke type: 72% ischemic, 28% hemorrhagic). Neurocognitive function was assessed with the NIHTB-CB, using demographically-corrected norms. Participants completed measures of socio-demographic characteristics, health literacy, and healthcare use and access. Stroke severity was assessed with the modified Rankin Scale. Results An independent samples t-test indicated Blacks showed more neurocognitive impairment (NIHTB-CB Fluid Composite T-score: M=37.63 SD=11.67) than Whites (Fluid T-score: M=42.59, SD=11.54; p=.006). This difference remained significant after adjusting for reading level (NIHTB-CB Oral Reading), and when stratified by stroke severity. Blacks also scored lower on health literacy, reported differences in insurance type, and reported decreased confidence in the doctors treating them. Multivariable models adjusting for reading level and injury severity showed that health literacy and insurance type were statistically significant predictors of the Fluid cognitive composite (p<.001 and p=.02, respectively) and significantly mediated racial differences on neurocognitive impairment. Conclusion We replicated prior work showing that Blacks are at increased risk for poorer neurocognitive outcomes post-stroke than Whites. Health literacy and insurance type might be important modifiable factors influencing these differences.

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C-90NIH Toolbox Emotion Domain: Exploration of Emotion Summary Scores and Demographic Effects in the US Standardization Norming Study

Cited by 2 publications

References 0 publications

NIH Toolbox® Emotion Batteries for Children: Factor-Based Composites and Norms

NIH Toolbox® Emotion Batteries for Children: Factor-Based Composites and Norms

Racial Differences in Neurocognitive Outcomes Post-Stroke: The Impact of Healthcare Variables

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