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Record W3183536208 · doi:10.3148/cjdpr-2021-016

Food Insecurity in Older Adults in Canada and the United States: A Concept Analysis

2021· review· en· W3183536208 on OpenAlexaffvenueabout
Christine Marie Mills

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2021
Typereview
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsQueen's University
Fundersnot available
KeywordsFood insecurityNormativePsychologyPreferenceGerontologyFood preferenceEnvironmental healthHealthy foodFood securityMedicinePolitical scienceGeographyEconomics

Abstract

fetched live from OpenAlex

A concept analysis using the method of Walker and Avant was undertaken to clarify the concept of food insecurity in older adults in Canada and the United States. A literature review was undertaken to conduct a concept analysis of food insecurity in older people. Food insecurity is associated with multiple negative health outcomes and may be experienced differently by older adults as compared to younger adults. It is therefore important to understand the concept of food insecurity as is relates to older adults. Four defining attributes of food insecurity in older adults in Canada and the United States were identified: (i) inability to acquire or prepare enough food, (ii) compromising on food quality or preference, (iii) uncertainty or anxiety around the ability to acquire or prepare food, and (iv) socially unacceptable or non-normative practices. These attributes may allow for improved policies and programs aimed at addressing food insecurity in older adults by better meeting the needs of older individuals. Additional research into food insecurity as experienced by Canadian and American older adults could help to further clarify the concept.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.275
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0150.018
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.270
GPT teacher head0.524
Teacher spread0.254 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Dietetic Practice and ResearchSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207