Psychological Problems among School Going Children- A Systematic Review
Bibliographic record
Abstract
impairments in individuals. Adolescence is the most critical stage for the development of diverse psychological adaptations. Objective: This research study systematically analyzes the psychological problems affecting school-going children. The aim of this study is to assess the consensus and variations in the spectrum of psychological problems among school-going children, as well as their associated factors, based on previously published literature. Methodology: The research methodology employed in this study follows the PRISMA diagram. We conducted a search in EndNote Version X9's PubMed collection using specific keywords, such as "psychological issues" and "school-age children." Papers published before 2019 were excluded from the electronic PubMed collection. Results: Out of a total of 1564 papers, we included 10 articles for systematic analysis. These articles were international research studies conducted in various countries, including China, Europe, Turkey, the Netherlands, Denmark, the USA, and Canada. The research studies utilized cross-sectional correlational research design, longitudinal research studies, and quantitative cross-sectional studies. Conclusion: Qualitative analysis revealed a spectrum of psychological and physical problems in school-going children, including behavioral changes, ignorance, arrogance, irritation, social withdrawal, social isolation, lack of confidence, low self-esteem, anxiety, depression, stress, and post-traumatic stress disorder. These psychological issues are strongly associated with factors such as mobile phone addiction, social media addiction, parental psychological disorders, child sexual abuse, school bullying, and criticism. It is recommended to consider moderate to vigorous physical activities as non-pharmacological treatments for these psychological problems.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".