Peer Pressure and Tobacco Smoking among Undergraduate Students of the University of Calabar, Cross River State
Bibliographic record
Abstract
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.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".