Parent-Child Connectedness as Predictor of Risky Sexual Behaviour among Adolescents in The Assin South District, Ghana
Bibliographic record
Abstract
Background: Lack of connectedness between adolescents and their parents has been found to affect adolescent development and decision-making negatively. This study investigates the parent-child connectedness (PCC) and risky sexual behaviour using Assin South District as a case study. Methods: A cross-sectional descriptive design was employed with 354 respondents which comprised parents aged 30-59 years and older adolescents aged 15-19 years. Data were analysed using descriptive statistics, Pearson’s chi-squared test of independence and binary logistic regression.Results: The study revealed that offering encouragement to adolescents on their own ideas and respecting their individuality was statistically significant at P<0.022, (OR=7.486, 95%CI[1.331-42.090]). Again, building child’s charisma was statistically significant at p>0.030, (OR=0.319, 95%CI ([0.114-0.894]), while clarifying messages about risky sexual behaviour was also observed as statistically significant at p>0.014, (OR=5.684, 95%CI[1.420-22.755]). Conclusion: The study recommends that parents provide adolescents with the requisite information aimed at reducing any harmful consequences of behaviour when occurs to the adolescents. Also, parents in the Assin South district should endeavour to encourage their children to talk openly with them (parents) about their ideas, needs, and worries for redress
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".