Establishing smoke-free homes in the indigenous populations of Australia, New Zealand, Canada and the United States: A systematic literature review
Bibliographic record
Abstract
A smoke-free home can have multiple benefits by reducing exposure to secondhand smoke (SHS), supporting quit attempts among active smokers, and discouraging adolescents from taking up smoking. The aim of this review was to summarize the literature on the establishment of smoke-free homes in Indigenous populations and identify the supporting influences and barriers, using the Social Cognitive Theory lens. A search of the Medline, CINAHL, Cochrane Collaboration and PyscINFO databases and manual searches of relevant peer-reviewed literature was completed, focusing on Indigenous populations in developed economies of North America and Oceania. Of 2567 articles identified, 15 studies were included. Ten studies included Indigenous participants only, and of these just three focused entirely on SHS in the home. Knowledge of the harms associated with SHS was the most common theme represented in all the studies. This knowledge fueled parents’ motivation to protect their children from SHS by establishing smoke-free homes. Individuals who approached implementation with confidence, coupled with clear communication about smoke-free home rules were more successful. Barriers included challenges for families with multiple smokers living in the same dwelling. There is limited research regarding managing smoking behaviors in the home among Indigenous populations, even though this approach is a successful catalyst for smoking prevention and cessation. Research to understand the influences that support the establishment of smoke-free homes is required for better-informed intervention studies.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".