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A Comparison of the Relationship between the mother's the Sense of Coherence (SOC) and Unidentified Complaint

2010· article· en· W2507508728 on OpenAlexaff
Chikako Hayashi, Tomoko Hatayama, Mayumi Nagano, Koichiro Ohnuki

Bibliographic record

VenueStress Science Research · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsHealth Research Foundation
Fundersnot available
KeywordsComplaintEveningLogistic regressionMedicinePsychologyInternal medicineClinical psychologyDemographyAudiology

Abstract

fetched live from OpenAlex

The purpose of this study was to clarify mother's the SOC (Sense of Coherence) and unidentified complaint. The subjects were 42 mothers (Age±SD: 33.9±3.4) living in urban areas. We asked the subjects to self-rate their experiences according to scales such as SOC and lifestyle habits and evaluation were made 39 items of self-claimed sheet of unidentified complaint. The results revealed a negative correlation between SOC score and unidentified complaint score (r=-0.580, p<0.01). The high unidentified complaint score group were higher the frequency of late-evening snacks consumption (p<0.05) and long time getting to sleep (p<0.01) than low unidentified complaint score group. Lastly, the results of logistic regression analysis revealed that the SOC score was the only significant independent factor; the dependent variable was the level of unidentified complaint and the independent variables were the SOC, frequency of late-evening snacks consumption and sleep-onset time (β=0.306, Wald=3.917, p=0.048, Exp (β)=0.736). The higher the SOC score suggested the possibility the preventive effect against the occurrence of indefinite complaint.

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.402
GPT teacher head0.613
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2010
Admission routes1
Has abstractyes

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