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Record W3216302321 · doi:10.1051/e3sconf/202131902016

Hookah smoking among young people in Bamako

2021· article· en· W3216302321 on OpenAlexaboutno aff
Abdourahamane Diara, Tidiane Diallo, Cheick Abou Coulibaly, Sanou Khô Coulibaly, Abdoul Karim Coulibaly, H. Hami, Abdelmajid Soulaymani, Ababacar Maïga

Bibliographic record

VenueE3S Web of Conferences · 2021
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisEnvironmental healthMedicineAddictionConsumption (sociology)Quarter (Canadian coin)SmokeDemographyPsychiatryGeography

Abstract

fetched live from OpenAlex

Introduction: In Mali, shisha has become the most common form of tobacco consumption, which is not without danger for the consumer health. The aim of this study was to assess the consumption level of shisha among young people in the District of Bamako. Methods: This was a prospective study from March 2019 to March 2020. A total of 200 young shisha smokers aged 40 or under were included in this study. Results: The male sex was predominant, with 75% of cases. The majority, or 81.5%, were under the age of 25. According to study data, 26% of respondents said they smoke shisha at least once a day. Over a quarter of cases reported concurrent use of two or more addictive substances. The most common association was with alcohol (13%), cannabis (9%) and cocaine (4.5%). According to the results, 69% of respondents thought that shisha is less harmful than cigarettes. Conclusion: Consumption of shisha has grown considerably in Mali in recent years. This study has highlighted a new form of multiple drug addiction, which could be harmful to the health of consumers. Thus, the authorities concerned must take appropriate measures to combat this scourge.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.289
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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