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Record W2159085740 · doi:10.1136/bmjopen-2012-002052

A cohort study for the impact of activity-limiting injuries based on the Canadian National Population Health Survey 1994–2006

2013· article· en· W2159085740 on OpenAlexaffabout
Frank Mo, Ineke Neutel, Howard Morrison, Doug Hopkins, Caroline Da Silva, Ying Jiang

Bibliographic record

VenueBMJ Open · 2013
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of OttawaPublic Health Agency of Canada
Fundersnot available
KeywordsMedicineLimitingEpidemiologyPublic healthEnvironmental healthCohort studyPopulation healthCohortNational Health Interview SurveyFamily medicinePopulationGerontologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the prevalence and factors affecting activity-limiting injuries (ALI) in individuals and in the Canadian population; to estimate the short and long term impact on health status and well-being because of ALI in Canada from 1994 to 2006 using the Canadian National Population Health Survey (NPHS). DESIGN: The NPHS is a randomised longitudinal cohort study with biennial interviews, with information on age, sex, education, marital status, income, residence, height and weight to self-perceived health status, healthcare utilisation and medication use in addition to ALI. SETTING: The study population was a random sample of male and female participants 20 years and older from 10 provinces and three territories in Canada. PRIMARY AND SECONDARY OUTCOME MEASURES: Logistic regression models were used to assess the potential impact of ALI on individuals and on the Canadian population. The interviews 2 years before and 2 years after the ALI were compared to examine long-term effects, and the McNemar test option in SAS was used for the matched analysis. RESULTS: The immediate impacts of ALI were pain, disability and disruption of regular life. Long-term effects in patients were chronic pain and increased medical doctor visits. Population impact included a considerable increase in healthcare access and cost. The odds ratios (OR) for the 20-39 age group compared with those 60+ was 2.2; 95% CI 1.8 to 2.7, while the OR associated with male participants was 1.4; 95% CI 1.1 to 1.6. Individuals consuming nine or more alcoholic drinks per week were also significantly more likely to report an ALI (OR, 1.5; 95% CI 1.3 to 1.8). CONCLUSIONS: The findings from this study illustrated the immediate and long-term impact of individuals and population level injuries in Canada. Injury control policies should aim to prevent the number of injuries, fatalities as well as the consequences among survivors.

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)0.002
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 score0.023
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.171
GPT teacher head0.497
Teacher spread0.326 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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