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Record W1980245218 · doi:10.2310/6620.2004.04007

Quality of Life of Patients with Allergic Contact Dermatitis: An Exploratory Analysis by Gender, Ethnicity, Age, and Occupation

2004· article· en· W1980245218 on OpenAlexvenueno aff
Deana L. Kadyk, Sandra Hall, D. Belsito

Bibliographic record

VenueDermatitis · 2004
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEthnic groupQuality of life (healthcare)Affect (linguistics)DistressDemographyGerontologyClinical psychologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Little has been published regarding the impact of gender, ethnicity, age, and occupation on the quality of life (QoL) of patients with allergic contact dermatitis (ACD). OBJECTIVES: This study investigated the relationship between QoL scores for patients with ACD and variables such as gender, ethnicity, age, and occupation. METHODS: Four hundred twenty-eight patients with ACD were mailed a QoL questionnaire modified from Skindex-16 to include an additional five items pertaining to occupational impact. The QoL scores were analyzed to ascertain factors that affect QoL in patients with ACD. RESULTS: The response rate was 35%. Non-Caucasians reported lower QoL scores than did Caucasians within the functioning scale. There were no statistically significant gender-related differences in QoL scores although females reported a higher degree of emotional distress. Younger subjects were more likely to have lower QoL scores within the functioning and occupational scales. Industrial workers reported the worst occupational QoL, followed by office workers. Occupation was the variable that significantly affected the greatest number of survey subjects, followed by age, ethnicity, and gender. CONCLUSIONS: Three of the four variables examined had a significant association with QoL. Non-Caucasians, younger subjects, and industrial workers reported a significantly worse QoL due to ACD. There were no statistically significant gender-related differences in QoL scores.

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 score0.007
Threshold uncertainty score0.794

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 communication0.0000.001
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 head0.032
GPT teacher head0.289
Teacher spread0.257 · 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

Citations38
Published2004
Admission routes1
Has abstractyes

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