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Record W2170852892 · doi:10.5539/hes.v2n3p92

Peer Pressure and Tobacco Smoking among Undergraduate Students of the University of Calabar, Cross River State

2012· article· en· W2170852892 on OpenAlexvenueno aff
Joseph K. Ukwayi, Ojong Felix Eja, Chibuzo. C Unwanede

Bibliographic record

VenueHigher Education Studies · 2012
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPeer pressurePhenomenonPsychologyPeer groupSocial pressureInstitutionOrder (exchange)Tobacco useMedicineMedical educationSocial psychologyEnvironmental healthSociologySocial science

Abstract

fetched live from OpenAlex

Peer pressure becomes a perturbing and problematic phenomenon as children grow seeing their peers as role model. Peer pressure is a social institution that modifies adolescents’ behaviours by making them indulge in risky behaviour such as smoking as early age. This phenomenon has indeed found its way into our tertiary institutions and among our youths who are leaders of tomorrow. This study examined peer pressure and tobacco smoking among undergraduate students of the University of Calabar, Nigeria. Data were obtained through the administration of a structured questionnaire to one hundred and twenty respondents in two well known and patronized restaurants and bars directly opposite the University of Calabar ‘small gate. Result indicated that 46 per cent of tobacco use among undergraduate students were accounted for by peer pressure, while the ANOVA result indicated that peer pressure had significant influence on undergraduate students’ tobacco use (F=4.069, p<0.05); the model further revealed that a unit increase in peer influence factor would result in 62% unit rise in the percentage of undergraduates that make use of tobacco substance. Result of independent samples test showed that the frequency of tobacco use differs between sexes (t=3.100, p<0.05). This study therefore revealed that the frequency of tobacco use among undergraduate student in Nigeria’s university environment was in the increase. In order to reduce this phenomenon which indeed has found its way into our campuses, the study suggested among other measures the implementation of programmes that will integrate concerned authorities in order to reduce the number of adolescent smokers and realize the vision of better health for Nigerian youths who are leaders of tomorrow by the year 2020.

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 score0.051
Threshold uncertainty score0.211

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 head0.037
GPT teacher head0.343
Teacher spread0.307 · 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

Citations32
Published2012
Admission routes1
Has abstractyes

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