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Record W7064583566

Contribution of disability to self-perceived health in community dwelling seniors

2010· dissertation· en· W7064583566 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2010
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSelf-rated healthQuality of life (healthcare)Scale (ratio)PerceptionSample (material)Construct (python library)Community healthLongitudinal studyRehabilitation
DOInot available

Abstract

fetched live from OpenAlex

Self-reported health (SRH) is an important part of the multidimensional construct health related quality of life (HRQL). SRH in the elderly is particularly important, as their absolute and relative numbers are increasing worldwide. In elderly patients, self-reported health is strongly associated with the adverse health outcomes of aging. Knowledge about factors affecting SRH would be informative for ongoing health management of elderly persons. The literature is consistent that aspects of function are important contributors to SRH, making 'function' an important target for prevention and rehabilitation in the elderly. The main objective of this study was to identify, for a community dwelling older population, the extent to which indicators of functional status contribute to general health perception over and above known personal and health related contributors, and to ascertain whether the profile of contributors remains stable over one year. A longitudinal study of a population-based sample of 215 community-dwelling individuals 65 years of age and older, recruited randomly in 1995 from Montreal area, was carried out. Ordinal regression was applied at study entry and twelve months later. The main outcome - self- reported health was measured with the General Health Perception Scale from the Medical Outcomes Study 36-item Short Form (SF-36). Half of the sample was stable (43%) and an equal proportion of people improved or deteriorated. Fatigue was a factor predicting both SRH at study entry and change over time; social engagement was a factor predicting change as was physical function. This information could indicate that worsening fatigue, loss of social engagement and deteriorating physical function could be early warning signs of deteriorating health and these may appear before the effects are detected using standard medical investigations.

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)0.005
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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