Bibliographic record
Abstract
OBJECTIVE: Shift-and-persist is a resilience construct hypothesized to be beneficial to physical health among individuals with low socioeconomic status (SES). This shift-and-persist construct entails a combination of reframing stressors more positively while also enduring adversity through finding purpose in life. In this study, we investigated how shift-and-persist relates to key inflammatory processes that are implicated in cardiovascular and other diseases. We also obtained validation information on a new shift-and-persist measure. METHOD: A sample of 122 adolescents and 122 parents from a diverse range of SES backgrounds completed our shift-and-persist measure, a battery of other psychosocial questionnaires and interviews, and provided blood samples. Parents also provided SES information. RESULTS: Reliability and validity of the shift-and-persist measure were demonstrated across both adolescents and adults. Shift-and-persist moderated the association between SES and indicators of inflammatory regulation. Specifically, as SES declined, shift-and-persist was associated with greater sensitivity to glucocorticoids' anti-inflammatory properties (interaction in adolescents: [beta] = .21, p = .033; interaction in adults: [beta] = .25, p = .011), and also with less low-grade, chronic inflammation (interaction in adolescents: [beta] = .18, p = .044). Conversely, as SES increased, the opposite pattern was evident. CONCLUSIONS: These findings suggest that adaptive psychosocial characteristics have the potential to regulate inflammatory processes in ways that may mitigate risk for a number of chronic diseases, particularly among disadvantaged groups.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".