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Record W2000478702 · doi:10.1155/2011/862708

Fasting Blood Glucose and Depressive Mood among Patients with Mental Illness in a Medicaid Managed Care Program

2011· article· en· W2000478702 on OpenAlexaff
Linda S. Kahn, Roger S. McIntyre, Lisa Rafalson, Diane E. Berdine, Chester H. Fox

Bibliographic record

VenueDepression Research and Treatment · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineDepression (economics)MedicaidDiabetes mellitusDepressive moodInternal medicineMoodPsychiatryHealth careEndocrinology

Abstract

fetched live from OpenAlex

Objective. This study explores the relationship between depressive symptoms, as measured by the PHQ-9 depression screen and blood glucose levels among patients with diabetes enrolled in Gold Choice, a Medicaid managed care program for individuals with mental illness and/or substance abuse. Methods. The PHQ-9 was mailed to 454 Gold Choice members and a questionnaire was mailed to their physicians requesting current HbA1c% and fasting blood glucose (FBG) levels. The pearson product-moment correlation was used to describe the association between PHQ-9 scores and FBG levels. Results. The PHQ-9 response rate was 55% (N = 249). Laboratory results were received for 141 patients. The correlation between FBG and PHQ-9 scores was modest but statistically significant: r = 0.21 , P = 0.015. Conclusion. A statistically significant association was found between FBG and PHQ-9 depression scores. This finding supports current recommendations that physicians be alert to depressive symptoms among patients with diabetes or impaired glucose metabolism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.246
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.031
GPT teacher head0.313
Teacher spread0.282 · 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.

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

Citations14
Published2011
Admission routes1
Has abstractyes

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