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Record W1998227973 · doi:10.2310/6620.2004.20420

Effectiveness of a Hand Care Regimen with Moisturizer in Manufacturing Facilities Where Workers Are Prone to Occupational Irritant Dermatitis

2004· article· en· W1998227973 on OpenAlexvenueno aff
James W. Arbogast, Eleanor J. Fendler, Brian S. Hammond, Todd J. Cartner, Michael D. Dolan, Yusuf Ali, Howard I. Maibach

Bibliographic record

VenueDermatitis · 2004
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMoisturizerMedicineRegimenSkin careHand eczemaRandomized controlled trialCosmeticsDermatologyPhysical therapyContact dermatitisSurgeryNursingAllergy

Abstract

fetched live from OpenAlex

BACKGROUND: Limited information documents the prevention and treatment benefits of a hand care regimen using moisturizer in a controlled manner for employees in typical manufacturing situations. OBJECTIVE: The objective was to assess the effectiveness of a comprehensive skin care program including skin conditioning lotion in multiple manufacturing environments where employees are at high risk for skin disease. METHODS: A randomized trial test design with multiple measures, including skin bioengineering measurement techniques, visual grading, and self-assessment questionnaires, was used to broadly characterize skin condition. RESULTS: Comparison of the change in the skin condition of workers using the full hand care regimen with moisturizer versus a control group using a regimen without moisturizer demonstrated significant (p < .05) improvements in multiple measures after 1 to 2 weeks. Corneometer readings consistently showed significant improvement for employees using moisturizer, regardless of their work location. CONCLUSION: Improved skin condition resulted from the regular use of an effective skin conditioning hand moisturizer as part of a skin care regimen in work environments in which workers were prone to experiencing occupational irritant contact dermatitis.

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 score0.043
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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

Citations30
Published2004
Admission routes1
Has abstractyes

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