War-Related Life Course Stress and Late-Life Subjective Age in Northern Vietnam
Bibliographic record
Abstract
Background and Objectives: The role of early life stressors in subjective aging is weakly understood, especially in low- to middle-income countries. This paper investigated how early life stressors encountered in armed conflict influence subjective age among Vietnamese older adults who experienced war over decades of their early life. Research Design and Methods: = 2,341) included 50.9% women and 49.1% men, with an average age of 69.8. 41.1% are military veterans. We conducted survey-adjusted multinomial logistic regression analyses with mediation to predict the probability of feeling younger or older than one's chronological age. We examined how childhood adversity (i.e., childhood hunger and low parental SES) and wartime stressors (i.e., war-related violence, malevolent environment, and military service) influenced late-life subjective age, both directly and as mediated by late-life mental, functional, and physical health. Results: We found significant associations between early adulthood war-related stressors and subjective age. Formal military service significantly lessened the relative risk of feeling subjectively old, and more plentiful wartime violence exposures significantly increased the risk of feeling younger than one's chronological age. Violence exposure's effects were both direct and indirect through functional and mental health. Conversely, greater exposure to wartime malevolent conditions (e.g., shortages of clean water and evacuations) and multiple episodes of severe hunger in childhood increased the risk of feeling older, effects both direct and mediated by late-life functional and mental health. Discussion and Implications: Results suggest wartime stressors, especially war's malevolent environments and severe childhood hunger, experienced in many conflict-affected populations globally, have the potential to subjectively "age" survivors. Yet, not all war exposures are equal, and some may yield psychological and socioeconomic resources that support healthy aging.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".