Peer victimization in school and mental and physical health problems in young adulthood: Examining the role of revictimization at the workplace.
Bibliographic record
Abstract
Peer victimization during the school years can impair victims' mental and physical health even in adulthood. Moreover, some victims of school bullying may also experience revictimization at work as adults. Later revictimization at work may thus at least partly explain (i.e., mediate) the negative consequences of peer victimization in school. Revictimization at work may also exacerbate (i.e., moderate), the association between peer victimization in school and impaired mental and physical health in adulthood. These hypotheses were tested with 251 participants (61% females) followed from age 12 to 25. Participants reported about their depression symptoms and victimization experiences every year throughout adolescence, workplace victimization at age 22, and mental and physical health symptoms at age 25. Latent path analysis revealed that peer victimization during adolescence was significantly associated with lower overall mental and physical health at age 25 and a small, albeit significant part of this association was mediated by workplace victimization at age 22. These associations were mainly due to specific effects on elevated depression symptoms and paranoid ideation at age 25. In contrast, the moderation hypothesis was not supported. The findings emphasize the importance of reducing school bullying before victims become caught in a cycle of abuse and suffer lasting impairments. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".