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Record W1715888820 · doi:10.3233/wor-2005-00433

Well-being and occupational roles among middle-aged women

2005· article· en· W1715888820 on OpenAlexaff
Carita Håkansson, Mona Eklund, Jonas Lidfeldt, Christina Nerbrand, Göran Samsioe, Peter M. Nilsson

Bibliographic record

VenueWork · 2005
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsChecklistSick leaveMedicineGerontologyScale (ratio)Occupational safety and healthPsychological interventionPsychologyRehabilitationDemographyPhysical therapyNursing

Abstract

fetched live from OpenAlex

One purpose of the present study is to explore the stability of the pattern of health/work and sickness absence among middle-aged women over a period of three years. This study tested two hypotheses: (a) that enduringly healthy working women would perceive more valued occupational roles and higher well-being than long-term sick-listed women; (b) that high levels of well-being at baseline would predict enduring health and occupational role value at a 3-year follow-up. Middle-aged women (n = 208) answered a postal survey with the Role checklist, a well-being scale and questions about work and sickness situation. The results showed that there was a considerable variability in the pattern of health/work and sickness absence. The variability was greatest among the women who were long-term sick-listed at baseline, and the internal drop out was great among them. The results showed that the enduringly healthy women experienced a more valued worker role and higher well-being than the long-term sick-listed women. Furthermore, high levels of well-being concerning health and work predicted enduring health in the studied sample, and high well-being concerning work was predictive of a valued worker role. Interventions that enable women to develop valuable worker and leisure roles, as well as harmony between different roles, may be important constituents of health promotion/rehabilitation programmes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.022
GPT teacher head0.329
Teacher spread0.308 · 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

Citations18
Published2005
Admission routes1
Has abstractyes

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