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Record W2140907969 · doi:10.3109/09638280903349545

Health-related and subjective quality of life of older adults with visual impairment

2009· article· en· W2140907969 on OpenAlexaff
Judith Renaud, Mélanie Levasseur, Jacques Gresset, Olga Overbury, Marie-Chantal Wanet-Defalque, Marie‐France Dubois, Khatoune Témisjian, Claude Vincent, Mathieu Carignan, Johanne Desrosiers

Bibliographic record

VenueDisability and Rehabilitation · 2009
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsUniversité LavalUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsQuality of life (healthcare)NormativePsychologySocial supportSocial engagementDepressive symptomsActivities of daily livingGerontologyClinical psychologyLife satisfactionVisual impairmentMedicinePsychiatryCognition

Abstract

fetched live from OpenAlex

PURPOSE: To document health-related quality of life (HRQOL) and subjective quality of life (SQOL) and explore their correlates in older adults seeking services for visual impairment (VI). METHOD: A convenience sample of 64 participants (79.3 +/- 5.9 years) with VI was interviewed at home. HRQOL was measured with the Visual Function Questionnaire-25 and SQOL with the Quality of Life Index. The potential correlates were as follows: personal factors (sociodemographic characteristics, co-morbidity, depressive symptoms, activity level), environmental factors (technical aids, social support) and participation in daily activities and social roles (level and satisfaction). RESULTS: Compared to normative data from previous studies of older adults, the participants had lower HRQOL but similar SQOL. Greater level of participation in social roles, higher perceived activity level, use of a writing aid and greater satisfaction with participation in social roles together explained better HRQOL (R2 = 0.66). Fewer depressive symptoms, greater satisfaction with participation in social roles and with social support and fewer co-morbidities together explained better SQOL (R2 = 0.70). CONCLUSIONS: HRQOL of older adults with VI is mainly explained by level of participation correlates, while their SQOL is mainly explained by depressive symptoms and satisfaction variables. The results also underscore the importance of social roles for HRQOL and SQOL of this population.

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 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)0.001
metaresearch head score (Gemma)0.000
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 score0.019
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.355
Teacher spread0.341 · 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 teacher head, 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

Citations56
Published2009
Admission routes1
Has abstractyes

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