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Record W2159815142 · doi:10.1136/oem.58.5.291

Health and exposures of United Kingdom Gulf war veterans. Part I: The pattern and extent of ill health

2001· article· en· W2159815142 on OpenAlex
Nicola Cherry, Francis Creed, Alan J. Silman, Graham Dunn, Derek Baxter, John E. Smedley, Stewart J. Taylor, Gary J. Macfarlane

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOccupational and Environmental Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGulf warMedicineCohortPopulationCohort studyDemographyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the health of United Kingdom Gulf war veterans, to compare their health to that of similar personnel not deployed, to describe patterns of ill health in both groups, and to estimate their extent. METHODS: Main Gulf (n=4795) and validation Gulf (n=4793) cohorts were randomly selected within strata from the population deployed to the Gulf and a non-Gulf cohort (n=4790) from those who were not sent. Seven years after the war subjects completed a questionnaire about their health in the past month, including 95 symptom questions and two manikins on which to shade areas of pain or numbness and tingling. Responses were subjected to a principal component analysis with rotation and to a cluster analysis within each cohort. Mean symptom score was used as a measure of severity. Areas shaded on the manikins were coded to indicate widespread pain and possible toxic neuropathy. RESULTS: A response of 85.5% was achieved. Those who had been to the Gulf were more troubled by every symptom with a mean severity score (3.0) substantially greater than in the non-Gulf cohort (1.7). Seven factors were extracted accounting for 48% of the variance. The scores on five factors (labelled psychological, peripheral, respiratory, gastrointestinal, and concentration) were significantly worse in those who had been to the Gulf. Symptoms suggestive of peripheral neuropathy were found more often (12.5%) in the Gulf than the non-Gulf (6.8%) cohorts. Widespread pain was also found more often (12.2% Gulf; 6.5% non-Gulf). Those who had been to the Gulf were found disproportionately (23.8%) in three clusters with high mean severity scores; only 9.8% of non-Gulf respondents were in these clusters. There was no evidence of an important excess in the use of alcohol, tobacco, or referral to hospital specialists by those who had been to the Gulf. For the same level of reported ill health those who had been to the Gulf were less likely to be referred to specialists than non-Gulf veterans. CONCLUSION: 7 Years after the war, the Gulf war veterans were more troubled about their health than those who had not been sent, with a substantial subgroup reporting a pattern of symptoms suggestive of a significant decline in health.

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.

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 score0.091
Threshold uncertainty score0.268

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 studies0.0000.001
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 head0.046
GPT teacher head0.317
Teacher spread0.271 · 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