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CLINICAL ISSUES

The utility of the Cognitive Reserve Index questionnaire in chronic traumatic brain injury

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 182-201 | Received 04 Sep 2022, Accepted 23 Mar 2023, Published online: 10 Apr 2023

Figures & data

Table 1. Demographic and injury characteristics for participants.

Table 2. Cognitive Reserve Index questionnaire total and subscale scores for participants.

Table 3. Correlations between Cognitive Reserve Index questionnaire subscale scores.

Figure 1. Traumatic brain injury cohort (n = 105) model-fit statistics comparing models with CRIq subscales scores as independent variables to a traditional proxies model with premorbid IQ and years of education as independent variables, for all outcome variables. AIC, Akaike Information criterion; BIC, Bayesian Information criterion; CRIq, Cognitive Reserve Index questionnaire; TBI, traumatic brain injury. ΔAIC and ΔBIC represent the differences in AIC and BIC between the two models for each outcome, respectively. ΔAIC or ΔBIC > 2 were considered supportive of a better model fit. ΔAIC of 3–7 or ΔBIC of 2–6 indicate small/moderate evidence, and values > 10 indicate strong evidence for a better model fit.

Figure 1. Traumatic brain injury cohort (n = 105) model-fit statistics comparing models with CRIq subscales scores as independent variables to a traditional proxies model with premorbid IQ and years of education as independent variables, for all outcome variables. AIC, Akaike Information criterion; BIC, Bayesian Information criterion; CRIq, Cognitive Reserve Index questionnaire; TBI, traumatic brain injury. ΔAIC and ΔBIC represent the differences in AIC and BIC between the two models for each outcome, respectively. ΔAIC or ΔBIC > 2 were considered supportive of a better model fit. ΔAIC of 3–7 or ΔBIC of 2–6 indicate small/moderate evidence, and values > 10 indicate strong evidence for a better model fit.

Table 4. Best fit-model statistics for regression models with either Cognitive Reserve Index questionnaire subscales or traditional proxies as independent variables.

Figure 2. Non-traumatic brain injury cohort (n = 91) model-fit statistics comparing models with CRIq subscales scores as independent variables to a traditional proxies model with IQ and years of education as independent variables, for all outcome variables. AIC, Akaike Information criterion; BIC, Bayesian Information criterion; CRIq, Cognitive Reserve Index questionnaire. ΔAIC and ΔBIC represent the differences in AIC and BIC between the two models for each outcome, respectively. ΔAIC or ΔBIC > 2 were considered supportive of a better model fit. ΔAIC of 3–7 or ΔBIC of 2–6 indicate small/moderate evidence, and values > 10 indicate strong evidence for a better model fit.

Figure 2. Non-traumatic brain injury cohort (n = 91) model-fit statistics comparing models with CRIq subscales scores as independent variables to a traditional proxies model with IQ and years of education as independent variables, for all outcome variables. AIC, Akaike Information criterion; BIC, Bayesian Information criterion; CRIq, Cognitive Reserve Index questionnaire. ΔAIC and ΔBIC represent the differences in AIC and BIC between the two models for each outcome, respectively. ΔAIC or ΔBIC > 2 were considered supportive of a better model fit. ΔAIC of 3–7 or ΔBIC of 2–6 indicate small/moderate evidence, and values > 10 indicate strong evidence for a better model fit.
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Data availability statement

De-identified data from this study are not available in a public archive. De-identified data from this study will be made available (as allowable according to institutional IRB standards) by emailing the corresponding author as of April 2022.