Effect of excessive internet use in Saudi and Egyptian teenagers’ health: Comparative study
Bibliographic record
Abstract
Using of the internet today is a growing part of any society. Teenagers are the most users of the internet at their home and/or school. Therefore, it changes their daily lives in terms of physical, social, and psychological status that may exaggerated to be an internet addiction disorder or a physical problem. The aim of the study was to recognize the effects of excessive internet use in Saudi and Egyptian teenagers’ health. The design used to conduct the present study was a descriptive correlation design, a convenient sample of 668 teenagers who were recruited from intermediate and secondary school from both countries, 331 teenagers from King Saudi Arabia (KSA) and 337 from Arab Republic of Egypt (ARE). Three tools were used for data collection: the first one was a questionnaire including demographic background of the participants and their families. The second was Internet Addiction Test (IAT) Young (1998) and the third pain rating scale to assess the intensity of musculoskeletal pain that encountered by the students. Results show that 86.6% of KSA teenagers used the internet daily compared to 69.6% in ARE. Regarding internet addiction, in teenagers, 0.9% were severe, 45.3% moderate and 47.7% mild compared to 0.3%, 46.3% and 44.2% in ARE one, 67.3% of KSA teenagers have musculoskeletal pain with internet usage compared to 74.3% in ARE teenagers. No significant relation was found between both groups in relation to internet addiction. A significant relations were found in Saudi students’ socio-demographic data and their level of internet addiction in the area of academic level (p ≤ .001), and level of academic achievement (p = .037). No significant relation was found in the same area for Egyptian students. The researchers suggest further studies to be conducted in this field on larger sample size for both genders to identify the other factors related to excessive internet use.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".