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Record W2316514739 · doi:10.1097/psy.0b013e318222e9fc

Association Between Generalized Anxiety Disorder and Asthma Morbidity

2011· article· en· W2316514739 on OpenAlexafffund
Kim Lavoie, Maxine Boudreau, Annik Plourde, Tavis S. Campbell, Simon Bacon

Bibliographic record

VenuePsychosomatic Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsHôpital du Sacré-Cœur de Montréal
FundersCanadian Institutes of Health Research
KeywordsAsthmaMedicineGeneralized anxiety disorderQuality of life (healthcare)AnxietyLogistic regressionSpirometryMajor depressive disorderBronchodilatorDepression (economics)Anxiety disorderPsychiatryExhaled nitric oxideInternal medicineMood

Abstract

fetched live from OpenAlex

Background: Generalized anxiety disorder (GAD) is common among people with asthma, but its association with asthma morbidity remains unexplored. This study examined cross-sectional associations between GAD and asthma control, quality of life, and self-efficacy. Methods: Seven hundred ninety-four adults with confirmed asthma were recruited from the outpatient clinic of a university hospital. Patients underwent a sociodemographic and medical history interview (to assess health service use and medications), followed by a brief psychiatric interview (Primary Care Evaluation of Mental Disorders) to assess GAD. Patients completed questionnaires assessing asthma control, quality of life, and asthma self-efficacy and underwent spirometry. General linear models and logistic regression were used to assess associations between GAD and asthma morbidity measures, adjusting for covariates. Results: GAD affected 4% of the sample. The analyses revealed significant associations between GAD and worse overall asthma control (β = 0.62, standard error [SE] = 0.18, p <.001), increased bronchodilator use (β = 10.60, SE = 2.64, p <.001), worse asthma quality of life (β = −0.91, SE = 0.23, p <.001), and worse asthma self-efficacy (β = −59.56, SE = 13.59, p <.001) after the adjustment for covariates. Separate sensitivity analyses including major depressive disorder and asthma self-efficacy as additional covariates rendered many of these associations nonsignificant. There were no associations between GAD and emergency visits or hospitalizations. Conclusions: GAD is associated with worse asthma morbidity independent of age, sex, smoking, and asthma severity; however, comorbid major depressive disorder and low asthma self-efficacy may account for many of these associations. Only breathlessness and the frequency of bronchodilator use were uniquely associated with GAD. Future research should examine whether treatment of GAD can affect asthma outcomes. ACQ = Asthma Control Questionnaire; ASES = Asthma Self-Efficacy Scale; ED = emergency department; FEV1 = forced expiratory volume in 1 second; FVC = forced vital capacity; GAD = generalized anxiety disorder; GLM = general linear model; ICC = intraclass correlation coefficient; ICS = inhaled corticosteroid; MDD = major depressive disorder; PD = panic disorder; PRIME-MD = Primary Care Evaluation of Mental Disorders.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.297
Teacher spread0.264 · 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

Citations49
Published2011
Admission routes2
Has abstractyes

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