The effects of attitudes, norms, and perceived control on the adaptation of elderly individuals and individuals with chronic health conditions to heatwaves
Bibliographic record
Abstract
BACKGROUND: In this study, the theory of planned behaviour (TPB) was used to examine the determinants of the heat protection intentions and actions of elderly individuals and individuals with chronic health conditions. This is an important topic as understanding the motivations for adapting behaviours to heatwaves can inform the design of warning systems and awareness campaigns by public health authorities to mitigate the adverse effects of weather hazards on health. METHODS: Three phone surveys were conducted in 2015 and 2016 to collect data on a large sample of individuals with increased vulnerability to heatwaves in the city of Longueuil, Canada. Prospective and panel fixed effects logit models for ordinal variables were used to analyse the factors that influenced heat protection intentions and actions. RESULTS: Attitudes, norms, and perceived control have positive effects on intentions to adopt heatwave protection actions and intentions on the effective adoption of these preventive measures. The hypothesis according to which perceived control moderates the effect of attitudes and norms on intentions is rejected. In addition, the results suggest that elderly individuals are less likely than individuals in other age groups to adopt heat protection actions. Health conditions related to vulnerability to hot weather do not seem to significantly improve the adoption of heat protection behaviours. CONCLUSIONS: The adoption of heatwave protection actions can be improved by public health interventions that influence attitudes and social norms related to heat protection behaviours and facilitate their adoption.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".