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Record W1598186029

The mental health promotion evaluation form for depressive prevention in elderly in Chiang Rai

2014· article· en· W1598186029 on OpenAlexaboutno aff
Touchnakorn Panyasai, Songpol Tornee, Kaysorn Sumpowthong

Bibliographic record

VenueSWU eJournals System (Srinakharinwirot University) · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthHealth promotionMedicinePromotion (chess)PsychologyNursingPsychiatryGerontologyPublic healthPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The mental health promotion evaluation form for depressive disorders prevention in elderly in Chiang Rai who attended the 3 months trial plan of the form of mental health promotion under local culture. This consisted of Tung tree cutting, prolonging activities and stimulation, Bai Sri Su Khwan, recycling and Tai Chi exercise. This study used a simple random sampling with a list of 36 subject names. The research instruments were the evaluation form under the Ottawa charter for health promotion which consisted of creating a policy for mental health promotion, creating an environment that is conducted to mental health well-being, strengthening the community and stakeholders in mental health promotions, developing personal skills in promoting mental health and modifying a health care system for promoting mental health. To evaluate the satisfaction using this form were determined by 5 experts for the content validity and the results were 0.93. This study found that health promotion form was at a high level with the mean 4.41 (SD = 0.49) and the satisfaction of the elderly who participated in the trial form was at a moderate level with the mean at 3.67 (SD = 0.30). Therefore, the creation process of the form of mental health promotion for depressive disorders prevention in the elderly with severe level based on their social culture, and understanding their distress, happiness and requirements with emphasis on activities promoting health and reducing the risk of depression in these elderly.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.432
Teacher spread0.346 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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