Self-esteem is relatively stable late in life: The role of resources in the health, self-regulation, and social domains.
Bibliographic record
Abstract
A large body of research has documented changes in self-esteem across adulthood and individual-difference correlates thereof. However, little is known about whether people maintain their self-esteem until the end of life and what role key risk factors in the health, cognitive, self-regulatory, and social domains play. To examine these questions, we apply growth modeling to 13-year longitudinal data obtained from by now deceased participants of the Berlin Aging Study (N = 462; age 70-103, M = 86.3 years, SD = 8.3; 51% male). Results revealed that self-esteem, on average, does decline in very old age and close to death, but the amount of typical decline is minor. Health-related constraints and disabilities as well as lower control beliefs and higher loneliness were each associated with lower self-esteem late in life. We obtained initial evidence that some of these associations were stronger among the oldest-old participants. Our results corroborate and extend initial reports that self-esteem is, on average, fairly stable into the last years of life. We discuss possible pathways by which common and often severe late-life challenges may undermine an otherwise relatively robust self-esteem system.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".