Does Religion Buffer Against the Detrimental Effect of Cyberbullying Victimization on Adults’ Health and Well-Being? Evidence from the 2014 Canadian General Social Survey
Bibliographic record
Abstract
While prior research has well-documented the detrimental effect of cyberbullying victimization on health and well-being among children and adolescents, less is known about whether the same adverse pattern can be observed among adults. Moreover, it is unclear about what psychosocial resources might moderate this association. The present study uses a nationally representative cross-sectional survey—2014 Canadian General Social Survey ( N = 17,548)—to examine three research questions. First, is cyberbullying victimization associated with adults’ self-rated health, mental health, and life satisfaction? Second, how does religiosity—religious service attendance and religious beliefs—moderate this association? Third, do any observed patterns further differ for men and women? Through a series of logistic and ordinary least squares regression models, the results show that adults who experienced cyberbullying victimization in the past 5 years are more likely to report poor self-rated health and mental health compared to those who did not experience cyberbullying victimization in the past 5 years. Likewise, cyberbullying victimization is also associated with lower levels of life satisfaction. In addition, the adverse associations of cyberbullying victimization in the past 5 years with self-rated health and life satisfaction are weaker among those who attended religious service at least once a week in the past twelve months. A similar pattern is observed for the buffering effect of viewing religious beliefs as very important in the adverse association of cyberbullying victimization in the past 5 years with self-rated life satisfaction. There is also evidence suggesting the gendered buffering effect of the importance of religious beliefs in the association between cyberbullying victimization and self-rated health. This study makes important empirical and theoretical contributions to the growing field of research on the association between cyberbullying victimization and health and well-being and to our understanding of how religion matters to individuals dealing with stressful experiences.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".