COVID-19 hardship and mental health in Chilean parents: the role of disaster exposure and family resilience
Bibliographic record
Abstract
Background: The negative mental health effects of the pandemic on families are well documented, while factors that buffer or increase such effects still need further investigation. Previous exposure to adversity might increase the negative impact of pandemic experiences. On the other hand, family resilience may protect against these negative effects, and may also be regarded as a mediator explaining the negative association between pandemic hardship and mental health.Objective: The current study focused on the effects of COVID-19-related hardship on parental mental health. We evaluated the impact of the individual experiences with the COVID-19 pandemic on mental health among Chilean parents from a community sample, who were exposed in varying levels to a destructive earthquake and tsunami approximately 10 years earlier.Method: Participants (N = 219) completed online measures of pandemic hardship, mental health, disaster hardship related to the past earthquake, and family resilience. We examined the moderating role of disaster exposure and the moderating and mediating role of family resilience on the current impact of the pandemic on mental health.Results: Individual exposure levels of COVID-19 hardship were associated with mental health complaints. Both previous disaster hardship and family resilience were associated with mental health complaints. However, previous disaster hardship did not moderate the relationship between pandemic hardship and mental health complaints, nor did family resilience moderate or mediate it.Conclusions: These results align with the evidence of the negative emotional impact of pandemic-related stressors, and propose family resilience and past disaster exposure as relevant predictors of mental health during the sanitary emergency. Findings are discussed in the broader social context in Chile and warrant adjusting public policies towards those underserved groups heavily affected by the pandemic.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".