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Record W2153998665 · doi:10.1093/geront/44.2.193

Health Behaviors in a Representative Sample of Older Canadians: Prevalences, Reported Change, Motivation to Change, and Perceived Barriers

2004· article· en· W2153998665 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Gerontologist · 2004
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsGerontologyMedicinePsychological interventionPublic healthHealth careBehavior changePopulationEnvironmental healthPreventive careNursing

Abstract

fetched live from OpenAlex

PURPOSE: Prevalence estimates of healthy behaviors and preventive care among older adults have not received sufficient attention, despite important health benefits such as longevity and better quality of life. Moreover, little is known about general population prevalences of older adults' efforts to change behavior, motivations to improve health behaviors, and perceived barriers to change. DESIGN AND METHODS: This study estimates the prevalence of a wide range of health behaviors and preventive-care activities, self-reported behavior change, and perceived barriers to change in a 1996-1997 population-based survey of 17,354 Canadian adults aged 60 and older. RESULTS: The findings indicate that a substantial proportion of older adults lead relatively inactive lives and often fall short of recommended standards for preventive health-care visits and screening tests. Moreover, nearly two thirds (63.2%) of older adults reported no efforts in the prior year to make changes to improve their health, and similar numbers (66.7%) indicated they thought no changes were needed. Differences in prevalences were found by gender, age, and education. IMPLICATIONS: Results from this study are useful for policy makers who need to prioritize public health efforts, researchers studying interventions, and health professionals developing preventive-care guidelines.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.606
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.114
GPT teacher head0.380
Teacher spread0.266 · 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