Family functioning and problematic usage of the internet in youth: A cross-sectional investigation
Bibliographic record
Abstract
BACKGROUND: Problematic usage of the internet (PUI) refers to maladaptive use of the Internet linked to functional impairment as a growing concern in many countries. Youths are often considered more vulnerable to PUI than other age groups. The relationship between PUI and family dynamics is likely bidirectional and complex, warranting further research. Using a cross-sectional study design, we aimed to determine the rate of PUI and the association between PUI and family functioning in a South African sample between the ages of 18 and 30 years. METHODS: South African youths were recruited via email and social media. Respondents completed an online survey as part of a cross-sectional study to assess the extent and the types of activities for which they use the internet, as well as the quality of their family relationships and functioning, employing standardised questionnaires (including the IAT-10) and the General Functioning Scale of the Family Assessment Device (GF-FAD). The sample included 814 participants (65% female; aged 21 years; SD 3 years). RESULTS: 15.5% of our sample presented with PUI. There was a significant, moderate positive correlation between totals on the IAT-10 and GF-FAD (r = 0.33, p < .001). An independent samples t-test found that individuals with self-reported PUI (GF-FAD: M = 2.57, SD = 0.51) had significantly poorer quality family functioning than individuals without PUI (GF-FAD: M = 2.13, SD = 0.61; t (812) = -7.52, p < .001; Cohen's d = -0.73, 95% CI [-0.92, -0.54]). Correlations were found between increased time spent on various online activities, including pornography (r = 0.20, p < 0.001), cyberbullying (r = 0.17, p < 0.001), social networking (r = 0.11, p = 0.003), and streaming media (r = 0.11, p = 0.003), and poorer quality family functioning. CONCLUSION: PUI is common in South African youth. Presence of PUI and increased PUI severity were associated with worse family functioning in this sample. We recommend using family-based approaches in promoting a healthy family environment, and in the prevention of PUI and mitigation of its effects, with the goal of striking a balance between the benefits of the internet and its potential role in compromising aspects of family relationships.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".