Life-course social and economic circumstances, gender, and resilience in older adults: The longitudinal International Mobility in Aging Study (IMIAS)
Bibliographic record
Abstract
Although early socioeconomic adversity is associated with poorer function and health in adulthood, those who are able to adapt positively to such risks and threats develop a resilience that may ameliorate harm. Predictors of resilience have been examined in children, however exploring the relationship between life-course events, lived environments and current resilience among older adults across countries is novel. We specifically studied how childhood social and/or economic adversity and current socioeconomic resources were associated with resilience in 2000 community dwelling older men and women in Canada, Colombia, Brazil and Albania. The longitudinal International Mobility in Aging Study (IMIAS) collected information in 2012 and 2014 on childhood adversity, current income sufficiency social support and social engagement, and resilience (Wagnild Resilience Scale RS-14). Resilience levels were moderately high, and similar among women and men. Early social adversity predicted later resilience for some, with women but not men adapting positively. In contrast there was no bouncing back from early economic adversity. Current social engagement aligned with resilience (women only) as did social support from children (for women) and friends (for men). Partner support was of no advantage to either. Among men economic circumstances were stronger correlates of resilience while for women social circumstances were primary. The impact of site on resilience suggested that cultural norms and values have an independent effect on resilience of their populations, with strong and positive social ties more typical of Latin America than Canada appearing to offset lower absolute incomes. These findings are of importance because resilience is dynamic, can be fostered across the lifespan and is generally associated with greater health. Understanding which social assets and resources can be reinforced to build individual resilience offers a means for decreasing the harms of social and economic adversity.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".