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Record W2032284236 · doi:10.1136/jnnp-2012-303524.102

I03 Evaluation of life time physical activity levels in Huntington's disease

2012· article· en· W2032284236 on OpenAlexaff
Joy Read, Gail Owen, Ruth H. Keogh, Monica Busse, C Jauffret, A. Coleman, Ellen Hart, B Borrowsky, Sarah J. Tabrizi

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2012
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiseaseHuntington's diseaseRetrospective cohort studyCohortMedicineQuality of life (healthcare)GerontologyRecallRecall biasAnticipation (artificial intelligence)PsychologyPhysical therapyInternal medicinePathology

Abstract

fetched live from OpenAlex

Background Environmental factors may influence the onset and progression of neurodegenerative disorders, either directly or by interacting with genetic risk factors. Trembath and colleagues interviewed individuals with a formal clinical diagnosis of Huntington9s disease (HD) and found that those who led a more passive lifestyle had an earlier age of onset than those who were less passive.1 Aims To establish the feasibility of using self-completion questionnaires to gather life time physical activity levels in a group of early stage and premanifest HD individuals from the TRACK-HD cohort so that this data could be compared to clinical outcomes in TRACK-HD study. Methods A self-report questionnaire was developed based on the Leisure Time Exercise Questionnaire by Godin et al.2 Activity levels were calculated across activities undertaken at home, at work and during recreation and for life stages from the teenage years, across each decade to the current age or age of disease onset. Life-time activity was categorised as strenuous, moderate or light, and activity scores were calculated from the frequency and duration of each activity. Results Retrospective data were collected from 277 participants (89 controls, 109 premanifest gene carriers, 79 HD Stage I/II) and the data used to distinguish the most and least physically active individuals. Modes of activity were also investigated. Conclusions Although retrospective data may be limited by recall bias, our data suggests that it is possible to use a general measure of life time physical activity levels. Such a life course perspective on physical activity may be a useful adjunct to the assessment of physical activity with more direct quantitative measures. References 1. Trembath MK, et al. A retrospective study of the impact of lifestyle on age at onset of Huntington disease. Mov Disord 2010;25:1444–50. 2. Godin G, Shephard RJ. Godin leisure time exercise questionnaire. Med Sci Sports Exerc 1997:S36–8.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.320
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes1
Has abstractyes

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