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RESILIENCE AND SELF-CARE IN PEOPLE WITH DIABETES MELLITUS

2020· article· en· W3016165880 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2020
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Alberta
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsDiabetes mellitusResilience (materials science)Psychological resilienceBlood sugarScale (ratio)Primary careAssociation (psychology)Sample (material)Statistical significance

Abstract

fetched live from OpenAlex

ABSTRACT Objective: to investigate the association between resilience and self-care in people with diabetes mellitus treated in Primary Health Care. Method: Cross-sectional study, sample consisting of 362 people, aged 18 years or older, diagnosed with diabetes for at least one year. Descriptive analyzes and comparison of means were performed, assuming statistical significance with a value of p <0.05. The Resilience Scale and Questionnaire on Diabetes Self-Care Activities were applied, containing six dimensions: general food, specific food, physical activity, blood glucose monitoring, foot care, medication use, plus three items on smoking. Data collection took place between December and May 2016, in ten Health Centers in a city in the south of the country. Results: among the 15 self-care activities, four showed a statistically significant association when compared to the average resilience, highlighting: healthy eating and professional guidance, desirable sweet consumption, blood sugar assessment as recommended. Conclusion: the results obtained highlight the relationship between high averages of resilience and adequate performance in the care of diabetes mellitus.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.231
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.146
GPT teacher head0.442
Teacher spread0.296 · 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