Data · dataset · 2026
Feasibility and preliminary validation of the LIBRA model among those with mild TBI
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<p>Methods are needed to evaluate the influence of risk factors on post-injury brain health among those with mild traumatic brain injury (mTBI).
Description
We employed an existing model, the LIfestyle for BRAin Health (LIBRA), to demonstrate feasibility and establish initial validation with mTBI cohorts.</p> <p>Analyses of data from 17 civilians with acute mTBI (longitudinal) and 92 male United States Veterans with historical mTBI (cross-sectional).
LIBRA scores were constructed; a higher score indicates greater risk to brain health. We also evaluated score distributions, the prevalence of LIBRA factors, and associations with non-LIBRA risk factors (initial validation).</p> <p>Among those with acute mTBI (longitudinal), the mean ± standard deviation LIBRA score across all time points was 2.34 ± 3.19 (range −1.0 to +11.1). Individual scores were relatively stable across time, with some variability in physical activity and alcohol use.
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In Veterans with historical mTBI (cross-sectional), the mean LIBRA score was 3.92 ± 2.64 (range −1.0 to +10.3). The most prevalent risk factors were obesity and lifetime history of smoking followed by current depression. Initial validation findings were mixed.</p> <p>Differences in LIBRA scores and other drivers of risk (non-LIBRA) across two mTBI cohorts (acute, historical) support the feasibility of implementation among those with a history of mTBI.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34023578.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Ecology · Immunology · Life Sciences · Medicine & Health · Social Science · Sociology
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34023578 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
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| concepts[field].anzsrc:group:3103 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].anzsrc:group:3204 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].anzsrc:group:4410 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |