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Record W2405672858

An investigation into the reasons for the under utilisation of mental health services amongst farmers

2004· dissertation· en· W2405672858 on OpenAlexaboutno aff
Ayishah Z. Meer

Bibliographic record

VenueLeicester Research Archive (University of Leicester) · 2004
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthBusinessNull (SQL)PsychologyMedicineEnvironmental healthGeographyPsychiatryComputer scienceData mining
DOInot available

Abstract

fetched live from OpenAlex

Objectives: To contribute to the U.K. research literature on psychological morbidity and helpseeking in farmers, and to explore factors involved in their use of mental health care, using the constructs of alexithymia and somatisation.;Design: A within-subjects survey design employing retrospective self-report was utilised to examine relationships between alexithymia, somatisation, health care utilisation and helpseeking attitudes. Method: A total of 54 male owner/tenant farmers between 18 and 65 years were recruited via the National Farmers' Union and Young Farmers Clubs. Participants completed the Hospital Anxiety and Depression Scale, Toronto Alexithymia Scale, Use of Healthcare questionnaire, Farming Life questionnaire, Medical Problems and Complaints questionnaire and the Helpseeking questionnaire. Data was analysed using chi-square, correlations, and multiple regression.;Results: The sample demonstrated elevated levels of psychological morbidity compared to normative samples. Participants were not found to be significantly alexithymic, and no associations were found between alexithymia and health care utilisation. Farmers were no more likely to seek help from family members than external sources, and their reported reasons for helpseeking delay/avoidance were not associated without he use of G.P or outpatient psychotherapy. No significant predictors were found for G.P. utilisation, but isolation was found to be a significant predictor of psychological morbidity.;Conclusions: Participants' high levels of psychological morbidity corroborate previous findings in the U.S. and U.K. Other findings are discordant with existing research, posing more questions regarding farmers' use of rural primary healthcare and helpseeking behaviour. More research is required to examine systemic factors in healthcare use and to explain the relationship between alexithymia and somatisation, using more robust measures of somatisation. Recommendations are put forward to broaden future study to incorporate systemic factors within rural primary care.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
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
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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 designQualitative
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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