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Record W2802621084 · doi:10.1177/2325958218774041

Use of Living Strategies among Adults Aging with HIV in Canada: Comparison by Age-Group Using Data from the HIV, Health and Rehabilitation Survey

2018· article· en· W2802621084 on OpenAlexafffundabout
Kelly K. O’Brien, Matthieu Dagenais, Patricia Solomon, Catherine Worthington, Soo Chan Carusone, Francisco Ibáñez-Carrasco, Steven Hanna, Jacqueline Gahagan, Larry Baxter, Gregory Robinson, Patriic Gayle, Dawn James, Tammy Yates

Bibliographic record

VenueJournal of the International Association of Providers of AIDS Care (JIAPAC) · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsSt. Michael's HospitalToronto Rehabilitation InstituteCasey HouseImpactUniversity of VictoriaNine Circles Community Health CentreMcMaster UniversityDalhousie UniversityUniversity of Toronto
FundersInstitute of Infection and ImmunityCanadian Institutes of Health Research
KeywordsMedicineHuman immunodeficiency virus (HIV)GerontologySuccessful agingRehabilitationCross-sectional studyDemographyPhysical therapyFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the type and frequency of living strategies used by adults living with HIV. METHODS: We conducted a cross-sectional web-based survey that included 51 living strategies: maintaining sense of control, attitudes and beliefs, blocking HIV out of the mind, and social interaction. We examined the frequency of use and compared the proportion of respondents who engaged in strategies across 3 age-groups (<40 years, 40-49 years, and ≥50 years). RESULTS: Of the 935 participants, the majority were men (79%) and most (≥60%) engaged "most" or "all of the time" in healthy lifestyle strategies and maintained a positive outlook living with HIV. Compared to younger participants, a higher proportion of older adults (≥50 years) engaged "most" or "all the time" in strategies that involved maintaining control over health and adopting positive attitudes and outlook living with HIV. CONCLUSIONS: Findings can help to inform the role of self-management to enhance successful aging with HIV.

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)0.002
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 score0.080
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.038
GPT teacher head0.315
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 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

Citations14
Published2018
Admission routes3
Has abstractyes

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