Factors Associated with Problematic Mobile Phone Use among Sub-Saharan African Populations: Moderating Effect of Gender
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the relationship between problematic mobile phone use and factors including anxiety, depression, overuse, social identity, cyber-orientation, disturbance in daily life, materialism, need for touch, positive anticipation, tolerance, and withdrawal. This study also explores the moderating effect of gender. Participants include 751 mobile phone/smartphone users predominantly from Nigeria, Tanzania, Ghana, and South Africa. Data models revealed significant positive relationships between problematic mobile phone use and depression, disturbance in daily life, withdrawal, overuse, cyber-orientation, positive anticipation, and need for touch. Gender analysis reported significant positive relationships for men and women between problematic mobile phone use and cyber-orientation, depression, positive anticipation, and withdrawal. The men model found positive relationships with disturbance in daily life and need for touch. The women model revealed a significant association with overuse. Guided by the study findings, we provided design recommendations to facilitate the development of mobile technologies and behavior change interventions within the context of several African countries.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it