Impairment in lung function among residents in the vicinity of an artisanal smoking site in Abidjan Côte d'Ivoire
Bibliographic record
Abstract
BackgroundThe health impact of artisanal smoking on stakeholders makes this activity a risky occupation.Usually carried out in agglomeration, the residents of these sites are exposed to the pollutants resulting from this activity. ObjectiveWe conducted this survey to determine its health impact on residents. MethodsWe carried out a cross-sectional survey of the type here-elsewhere, targeting the inhabitants of the «Niang on Sud» of Yopougon.This population was divided into two groups: "exposed" consisting of residents in the vicinity of the smoking site and "not exposed".The collection of socio-demographic and clinical data was done by interview and the evaluation of respiratory function by spirometry.The data were captured and analyzed using the SPSS DATA and the Prevalence Report (PR) of the independent variables were expressed and their confidence intervals were estimated at 95 %. ResultsA total of 252 subjects divided by exposure status (50 %) and non-exposed status (50 %) were included in our survey.Subjects in the exposed group were more likely to have respiratory manifestations with prevalences of 18.18 %, 30 %, 10.74 %, 40.17 %, 21 % and prevalence ratios (PR) of 4.54; 3.72; 4.47; 2.51 and 12.9 respectively for respiratory difficulties, shortness of breath, wheezing in the chest, coughing without expectoration, and coughing with expectoration.Between our two groups, the prevalence of spirometric abnormalities was not statistically significant (ER=1.16). ConclusionResidents in the vicinity of artisanal smoking sites had a higher prevalence of respiratory clinical manifestations; a trend not found for impairment of respiratory function.Cohort studies could be considered to better assess the health 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".