Defining Sex‐ and Age‐Specific Initial Stay Times for Continuous Moderate‐Intensity Work in Hot Environments Before Heat‐Mitigation Controls Are Implemented – Part A
Bibliographic record
Abstract
RATIONALE: Industry guidelines recommend work-rest allocations to limit increases in core temperature (Tcore; > 38.0°C or > Δ1.0°C above resting) during work in the heat. However, the initial duration of permissible work before implementing these allocations is not specified (initial stay time [IST]) and individual factors such as sex and age affecting thermoregulation are not considered. OBJECTIVES: The objective of this study was to assess whether factors of sex and age influence IST. METHODS: ) simulated work at ambient conditions of 26, 29, and 32°C wet-bulb globe temperature (WBGT). FINDINGS: IST significantly decreased as ambient conditions intensified (p < 0.0001). Median (95% CI) durations to 38°C across groups were 59 (43-87) minutes at 26°C, 40 (34-65) minutes at 29°C, and 35 (31-46) minutes at 32°C WBGT. Likewise, median times to achieve Δ1.0°C above resting temperature significantly differed by environmental conditions (p < 0.0001): 66 (56-128) minutes at 26°C, 68 (54-80) minutes at 29°C, and 44 (41-53) minutes at 32°C WBGT. Older females were significantly more likely to experience Tcore elevations of 38.0°C (hazard ratio [95% CI]: (3.1 [1.6, 5.8], p < 0.001) and Δ1.0°C above resting (1.9 [1.1, 3.0], p = 0.007) compared to young males. In contrast, IST for young females and older males were similar to young males. IMPACT: Our findings underscore the impact of hotter ambient conditions on IST and identify older females as particularly susceptible during moderate-intensity work in heat emphasizing the need for tailored occupational heat exposure guidelines.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".