Hypothermia as a cause of death in British Columbia, 1998-2012: a descriptive assessment
Bibliographic record
Abstract
BACKGROUND: Hypothermia can result from exposure to cold or as a consequence of underlying physiologic vulnerabilities. Who, where, when and how British Columbians (and Canadians) die of hypothermia have received little research attention. The objective of this study was to describe the epidemiology of mortality due to hypothermia among residents of British Columbia. METHODS: We examined all records in the death registry of the British Columbia Vital Statistics Agency between 1998 and 2012 that had an underlying or contributing cause of death coded for hypothermia or exposure to excessive natural cold. RESULTS: Hypothermia or exposure to excessive natural cold was found to be the underlying or contributing cause in 384 deaths between 1998 and 2012. Mean age of decedents was 52 (SD 20.78) years and 73.2% were male. The annual death rate for hypothermia increased with age, ranging from 0.3 per 100 000 population among people aged 1-34 years to 1.6 per 100 000 population among those older than 75 years of age. The highest annual death rate occurred among older males (2.1 per 100 000 population) followed by older females (1.3 per 100 000 population). Although hypothermia-related deaths occurred year-round, 45.9% occurred during winter months (December, January and February) and, in particular, on days with lower temperatures (mean 0.56°C). Use of alcohol (40.1%) and other psychoactive substances (22.7%) were the most common additional causes of death identified among deaths due to hypothermia. Areas of British Columbia with the lowest population density or lowest socioeconomic status were found to have the highest crude hypothermia-related mortality rates. INTERPRETATION: Our results showed that older people are at higher risk of hypothermia-related death. Among residents of British Columbia who died of hypothermia, the most frequent additional causes of death were alcohol and nonalcohol psychoactive substances. However, further assessment of both the occurrence and determinants of mortality due to hypothermia are needed to inform measures to reduce its impact.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".