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Record W2892240551 · doi:10.31372/20180301.1092

Pain, Depression, and Health-Related Quality of Life of Older Haenyeos (Women Divers)

2018· article· en· W2892240551 on OpenAlexvenueno aff
Eun Suk Ko, Kyung-Ja Kang

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Quality of life (healthcare)PsychologyGerontologyMedicinePsychiatryPsychotherapistEconomics

Abstract

fetched live from OpenAlex

This study aimed to provide basic data in order to develop effective intervention plans to improve the health-related quality of life of older haenyeos (professional female free divers). The study’s participants consisted of older haenyeos (≥65 years old) from seven fishing villages on Jeju Island, Korea. Data were collected using a questionnaire-based survey method, and the responses of 149 participants were analyzed. The participants’ mean pain score was 2.43 out of 5 points and their mean score for health-related quality of life was 61.18 out of 100 points. Depression was the strongest factor influencing health-related quality of life; other influencing factors included pain, the number of drug side effects, number of drugs prescribed, age, and diving time. Intervention plans for chronic-disease management and self-management programs tailored to the characteristics of older haenyeos are needed for the effective control of depression, pain, and improvement in their health-related quality of life.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.060
GPT teacher head0.429
Teacher spread0.369 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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