Pattern of risky sexual behavior and associated factors among undergraduate students of the University of Port Harcourt, Rivers State, Nigeria.
Bibliographic record
Abstract
INTRODUCTION: Age at sexual debut had decreased in the developing countries recently. Few documented studies have looked into the pattern of risky sexual behaviour and associated factors among undergraduate students in Rivers state of recent. This study examined the pattern of sexual risky behaviour of undergraduate in University of Port-Harcourt, Rivers State, Nigeria. METHODS: A descriptive cross sectional survey was adopted and three hundred students were purposively recruited. Data were collected by a self -administered semi-structured questionnaire and analysed using descriptive and chi-square statistics at 0.05 significant level. RESULTS: The mean age of respondents was 21.3 ± 2.8 years; more than half (57.4%) were females. Almost a quarter (24.5%) was each in 200 and 300 level of study respectively and more than a quarter (26.7%) lives alone. Sixty-one percent of the respondents had ever taken alcohol beverage with 36.1% of them were current users. More than half (52.0%) the respondents had either boy/girlfriend and a total of 144 (52.0%) had ever had sexual intercourse; of these 13% reportedly had only one sexual partner in their lifetime; girl/boy friend topped the list of their sexual partner; 48.6% respondents were currently sexually active and 32% used a form of protection during their last sexual activity. The mean age at sexual debut was 17.0 ± 4.5 years. Few (13.4%) have had sex in exchange for gifts and 5.1% of these was with a friend. Higher proportions of respondents who reported lifetime use of alcohol were sexually active (p<0.005). CONCLUSION: Respondents exhibits risky sexual behavior as more had sex without any form of protection. Public enlightenment programmes and targeted behavioral change interventions are therefore recommended.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".