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Record W1993006232 · doi:10.3138/01v7-0287-9231-q854

A Health Profile of Community-Living Nonagenarians in Canada

2007· article· en· W1993006232 on OpenAlexaffabout
Andrew Wister, Deanna Wanless

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2007
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of AlbertaSimon Fraser University
Fundersnot available
KeywordsGerontologyMedicine

Abstract

fetched live from OpenAlex

Due to increasing life expectancy over time, persons who live into their ninety, known as nonagenarians, are an important and growing segment of the Canadian population. In 2001, there were 130,325 nonagenarians (compared to 3,795 centenarians), and it is estimated that they will top 400,000 by 2026. This paper provides a health profile and an exploratory analysis of selected social determinants of health for community-living nonagenarians, using the 2001 Canadian Community Health Survey (Statistics Canada, 2003). Perceived health, selection of prevalent chronic illnesses, and several health behaviours are examined. One dominant pattern is the tendency for male nonagenarians to be in better health than their female counterparts. This finding is consistent with research on centenarians and is discussed in terms of a mortality selection effect. Other key findings include the strength of sense of belonging, income, and physical activity as potential social determinants of health, connected to particular dimensions of health status.

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)0.000
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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.340
Teacher spread0.279 · 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

Citations26
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207