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Record W4391510594 · doi:10.30654/mjnh.100031

Family Factors and Personal Determinants of Tobacco Consumption, Students from Ninth-Eleventh, Instituto San Nicolás, La Paz Centro, III Quarter, 2023

2023· article· en· W4391510594 on OpenAlexaboutno aff
Rocha Peña Víctor Saúl, Benedicht Jarquin Kenal Jafet, Castillo Paredes Ana Massiell, Gonzalez Munguia Odeth de los Angeles, Matute Zapata Kathy Guissell

Bibliographic record

VenueNursing and Health Care · 2023
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsEleventhNinthQuarter (Canadian coin)Consumption (sociology)PsychologyDemographyHistorySociologySocial sciencePhysicsArchaeology

Abstract

fetched live from OpenAlex

Tobacco consumption is a chronic non-communicable and addictive disease, with possibilities of treatment and cure.In adolescence it constitutes a public health problem, since tobacco is highly addictive and becomes a problem that destroys the life of the consumer.It contains psychoactive substances that affect the functioning of the brain and nervous system, it has harmful effects on the respiratory system, affecting the bronchi and lungs.The problem of tobacco consumption lies in how susceptible the adolescent is to being part of the consumer group.This could be influenced by family factors such as lack of communication and supervision or having a user at home, as well as personal determinants such as an impressionable personality or Ignorance of the consumption that tobacco entails.The study was descriptive, quantitative and cross-sectional where the population was made up of 208 young people between the ages of 12 and 20, students from ninth to eleventh grade, of both sexes, in the morning and afternoon shifts of the San Nicols Institute, La Paz Centro.A data collection instrument was applied on family factors and personal determinants of tobacco consumption.For the participants, the act of consuming tobacco is of utmost concern, since it occurs at home in the family circle, there is no consumption limit since they access it through places close to the study center, where there is no restriction policies.Even though they know the risks and perceive that they are not accepted by society, they continue to carry out this practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.569

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)0.0000.000

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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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