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Record W7037025152

Depression in patients under investigation for occupational asthma: clinical, immune, behavioral, and employment aspects

2012· dissertation· en· W7037025152 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du TravailSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsDepression (economics)AsthmaMajor depressive disorderQuality of life (healthcare)Occupational asthmaDepressive symptomsLongitudinal studyLung function
DOInot available

Abstract

fetched live from OpenAlex

Asthma and depression are highly prevalent and often co-occurring conditions with substantial personal, social, and economic impact worldwide. Little is known about psychological factors in occupational asthma (OA), a type of asthma caused by exposure to workplace substances. Individuals under medical investigation for OA face distressing respiratory symptoms and uncertain occupational implications. Although preliminary evidence indicates a high rate of depression among patients under investigation for OA (UIOA), the impact of depression on patient health and well-being is unclear. The current dissertation examines whether major depressive disorder (MDD) and depressive symptomatology contribute to the burden of illness in people UIOA. Two original research studies were conducted, considering multiple clinical and functional aspects: respiratory symptom burden, physiological indices including lung function and immune alterations, health behaviors, and employment. Study 1 examined the cross-sectional relationships between depression and respiratory symptom burden in a sample of 220 patients currently being evaluated for OA. Participants underwent a socio-demographic, medical, and psychiatric interview, and completed a battery of questionnaires on the day of their asthma clinic visit. Hospital medical chart reviews were conducted to obtain physiological, diagnostic, and prescription information. Results showed that MDD and higher depressive symptoms were associated with worse control of respiratory symptoms, worse quality of life related to respiratory symptoms, and an increased percentage of eosinophils in sputum. Depressive symptoms were also associated with an increased percentage of neutrophils and a decreased percentage of lymphocytes in blood. MDD was associated with smoking.Extending this work, Study 2 examined longitudinal associations between baseline MDD and depressive symptoms with future respiratory and occupational outcomes in 131 patients who were re-contacted approximately 18 months after their initial evaluation for OA in Study 1. Participants again underwent a socio-demographic, medical, and psychiatric interview, and completed a battery of questionnaires. Results indicated that patients with MDD and those who report more depressive symptoms during evaluation for OA tend to have more poorly controlled respiratory symptoms at follow-up relative to other patients. Over time, measures of baseline depression were also associated with deteriorating quality of life related to respiratory symptoms, failure to return to work, and increasing on-the-job limitations. Overall, findings suggest that MDD and depressive symptoms play a significant role in the health and well-being of people UIOA. The present research adds to the growing chronic illness literature demonstrating the adverse effects of depression on health and employment. Implications and directions for future research are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.320
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

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