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Record W2376159606

Mental Health of Elderly Participating Morning Exercise

2004· article· en· W2376159606 on OpenAlexaboutno aff
Deng Kewei

Bibliographic record

VenueZhongguo xinli weisheng zazhi · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsHappinessMorningMental healthPsychologyChecklistRating scaleGerontologyClinical psychologyMedicinePsychiatryDevelopmental psychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Objective: To evaluate happiness and the mental health of elderly who participate morning exercise in Wuxi area. Methods: 161 elderly who participated morning exercise and 111 elderly from urban area of Wuxi were investigated with Memorial University of Newfoundland Scale of Happiness (MUNSH), Symptom Checklist 90(SCL-90), and general health status questionnaire. Optimal Scaling was used to study the relationship between Happiness and affecting factors. Results: The average level of happiness of the morning exercises groups was higher than that of control. Factors having influence on mental health included interpersonal relationship, children satisfaction rating, and attitude to retirement, house condition.Conclusions: Elderly participating morning exercise have better mental health status.

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)0.003
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.064
GPT teacher head0.451
Teacher spread0.388 · 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
Published2004
Admission routes1
Has abstractyes

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