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Record W2048290981 · doi:10.2486/indhealth.45.750

The Association of Needlestick Injury with Depressive Symptoms among First-year Medical Residents in Japan

2007· article· en· W2048290981 on OpenAlexaff
Koji Wada, Yumi Sakata, Yoshihisa Fujino, Toru Yoshikawa, Katsutoshi Tanaka, Eriko Miyajima, Mitsuyasu Watanabe, Yoshiharu Aizawa

Bibliographic record

VenueIndustrial Health · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsMcGill University
FundersNational Institute of Occupational Safety and Health, JapanMinistry of Health, Labour and Welfare
KeywordsMedicineDepression (economics)Odds ratioDepressive symptomsEpidemiologyConfidence intervalLogistic regressionNeedlestick injuryCohort studyCohortPsychiatryFamily medicineInternal medicineHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Depressive symptoms among medical residents are common. The objective of this study was to determine the association of depressive symptoms with needlestick injury among first-year medical residents (so-called "intern"). We conducted a prospective cohort study among 107 medical residents in 14 training hospitals. The baseline survey was conducted in August 2005 and the follow-up survey was conducted in March 2006. Depressive symptoms were based on the Center for Epidemiological Study of Depression. Factors associated with depressive symptoms were examined using logistic regression analysis. For medical residents without depressive symptoms at the baseline survey, needlestick injury events were associated with depressive symptoms at the follow-up survey (corrected odds ratio [cOR]=2.98; 95% confidence interval [CI], 1.16-3.70). Because it was not possible to determine when the medical residents developed depressive symptoms, it is not possible to definitely determine causality between needlestick injury and depressive symptoms, although these findings are suggestive. Therefore, it would seem prudent to suggest the provision of mental health services to medical residents sustaining a needlestick injury since this may be helpful in identifying and treating depression.

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)0.002
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.021
GPT teacher head0.326
Teacher spread0.305 · 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

Citations22
Published2007
Admission routes1
Has abstractyes

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