Bereavement & mental health: The generational consequences of a grandparent's death
Bibliographic record
Abstract
The COVID-19 pandemic has left millions of children and adolescents grieving the sudden death of a grandparent. Yet, we lack knowledge of the mental health implications of a grandparent's death for youth. This study uses longitudinal data to examine if the loss of a grandparent increases adolescent grandchildren's likelihood of experiencing their mothers' major depressive disorder, and of having depressive symptoms themselves. Using data from the Fragile Families and Child Wellbeing Study, a population-based cohort study of children born in 20 U.S. cities between 1998 and 2000, we estimate associations between the death of a maternal grandparent in mid-childhood and adolescents', and their mothers', depressive outcomes when the adolescent is roughly age 15 (in 2014-17), net of a robust set of covariates, including pre-bereavement depression. Adjusted regression models show no elevated depression risk associated with a grandfather's death-neither for adolescents nor their mothers. A grandmother's death within the previous seven years is associated with a higher likelihood of adolescents having a depressed mother compared to both non-bereaved adolescents (odds ratio (OR) = 2.42; 95% confidence interval (CI) = 1.17, 5.01) and those whose grandmother died more than seven years ago (OR = 3.78; 95% CI = 1.54, 9.31). Furthermore, adolescent boys have a 50% increase in their depressive symptoms following a grandmother's death relative to their non-bereaved peers-an increase that operates independently from the influence of the death on their mother. Together, the results show the death of a grandmother is an underappreciated, persistent risk factor for adolescents experiencing maternal major depressive disorder, and for adolescent boys experiencing depressive symptoms personally.
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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 | 0.002 | 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 | 0.004 | 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) | 0.001 | 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".