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To what extent do oral disorders compromise the quality of life?

2010· article· en· W2165335375 on OpenAlex
David Locker, Carlos Quiñonez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Dentistry And Oral Epidemiology · 2010
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineCompromiseQuality of life (healthcare)DentistryNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Most measures of 'oral health-related quality of life' assess the presence and frequency of functional and psychosocial impacts rather than explicitly documenting their impact on the quality of life. The aim of this study was to evaluate Prutkin and Feinstein's suggestion for addressing the issue of quality of life in health outcome research by the use of global ratings. METHODS: Data were collected from a national sample of Canadian adults by means of a telephone interview survey based on random digit dialing. Participants completed the OHIP-14. Those reporting one or more impacts in the previous year were asked three questions concerning the extent to which these impacts bothered them, affected their life as a whole, and affected their quality of life. These items were scored on a scale ranging from 'Not at all' to 'A great deal'. All participants were asked to rate the quality of their life using a six-point scale ranging from 'Very poor' to 'Excellent'. RESULTS: Interviews were completed with 2027 participants, and 2019 were included in the analysis. Overall, 19.5% reported one or more impacts 'fairly often' or 'very often'. Of these, 48.3% reported being bothered by these impacts, 40.3% that their life overall was affected, and 36.0% that their quality of life was affected. These individuals represent 9.4%, 7.8%, and 6.9% of the sample as a whole. Among those reporting impacts, there was a significant association between OHIP-14 extent and severity scores and the three ratings. Those with impacts that bothered them, that affected their life overall or affected their quality of life, rated their overall quality of life less favorably than those with impacts that did not. Analysis by household income indicated that low-income participants were more likely to be OHIP-14 'cases'. Moreover, among the 'cases', low-income participants were more likely to report an impact on the quality of life. CONCLUSIONS: The addition of global ratings of oral health-related quality of life and quality of life provides information of use in understanding the negative consequences of oral disorders.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.088
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.102
GPT teacher head0.423
Teacher spread0.321 · 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