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Record W2018333007 · doi:10.1159/000354538

Successful Aging in Canada: Prevalence and Predictors from a Population-Based Sample of Older Adults

2013· article· en· W2018333007 on OpenAlexafffundabout
Xiangfei Meng, Carl D’Arcy

Bibliographic record

VenueGerontology · 2013
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsGerontologyLogistic regressionDemographyMedicinePopulationPrevalenceMultivariate analysisROWEDescriptive statisticsEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Little research has been conducted to thoroughly explore the prevalence and predicators of successful aging (SA) from a national point of view. OBJECTIVES: The objectives of this study were (1) to estimate the prevalence of SA as defined by Rowe and Kahn using a large population-based dataset and (2) to determine the roles of sociodemographic, psychological, and lifestyle factors in SA among Canadian seniors. METHODS: Data was from the Canadian Community Health Survey: Healthy Aging (CCHS-HA) (n = 25,864) conducted in 2008-2009. Rowe and Kahn's concept was used to measure SA. Descriptive analyses were used to estimate the prevalence of SA in those aged 45+ living in private dwellings in the ten provinces of Canada. Multivariate logistic regression was used to assess predicators of SA among those aged 65+ and having complete data on cognition. RESULTS: The prevalence of SA was 50.1% among those aged 50+, then decreased to 46.2% for those aged 55+, 42.0% for those aged 60+, and 37.2% among those aged 65+. Assuming those 65+ living in institutions as unsuccessful agers, then the prevalence of SA was 35.3% among Canadian seniors aged 65+. There were no differences in prevalence rate of SA between males and females. We did not find higher income associated with SA. Being younger, married, regular drinkers, exercisers, perceived better health, satisfied with life, and taking calcium in the past month were associated with SA. The predicted probability of being a successful ager was 41% for those aged 65-74 years, 33% for 75-84 years, and 22% for those 85+ years, while controlling for other covariates. Presence of disease led to a major decline in SA, levels of functioning and engagement in contrast remained relatively constant. CONCLUSION: Over one third of the seniors in Canada met the criteria for SA, largely because the operationalization of the definition only considered severe chronic diseases that may not be well managed and thus likely to result in functional impairment. The modifiable risk factors identified provide direction for prevention efforts to increase SA at a population level.

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)0.002
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 score0.020
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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

Citations70
Published2013
Admission routes3
Has abstractyes

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