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Record W4318600038 · doi:10.1177/216507990205001006

A Survey of the Health Experiences of International Business Travelers

2002· article· en· W4318600038 on OpenAlexaboutno aff
Hugh Rogers, Sandra M. Reilly

Bibliographic record

VenueAAOHN Journal · 2002
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialAccommodationBusiness travelOccupational safety and healthEnvironmental healthBusinessTravel medicineMedicinePsychologyTourismGeography

Abstract

fetched live from OpenAlex

Occupational health professionals need to know more about the health, worklife, and family life of international business travelers (IBTs). This descriptive correlational study, in two parts, examines the physiological and psychosocial experiences associated with business travel for a sample of 140 employees from western Canada's oil and gas industry. Results for Part One show that 76% of IBTs report travel related health problems, 74% have jet lag, 45% have travelers' diarrhea and gastrointestinal complaints, 12% to 16% have climate adaptation problems, and 2% report accidents and minor injuries. High risk behaviors include not carrying a first aid travel kit (54%); drinking more alcohol than ordinarily (21%); and neglecting food, water, and antimalarial precautions (6% to 14%). Other risk factors include age, length of stay, destination, pre-travel medical examinations, pre-travel advice, and eating and accommodation facilities. Findings show that IBTs are at risk for travel related physiological health problems. Implications for practitioners call for increased occupational health expertise in pre-travel preparation, follow up post-travel and regular health surveillance for employees who travel on international business.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.081
GPT teacher head0.345
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 teacher head, not a consensus.

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

Citations52
Published2002
Admission routes1
Has abstractyes

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