Socioeconomic disadvantage, chronic stress, and proinflammatory phenotype: an integrative data analysis across the lifecourse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Socioeconomic disadvantage confers risk for many chronic illnesses, and theories have highlighted chronic psychological stress and alterations to inflammatory processes as key pathways. Specifically, disadvantage can heighten chronic stress, which may promote a proinflammatory phenotype characterized by immune cells mounting exaggerated cytokine responses to challenge and being less sensitive to inhibitory signals. Importantly, lifecourse perspectives emphasize that such immune alterations should be more potent earlier in life during a sensitive period when bodily tissues are highly plastic to environmental inputs. However, examining these propositions is resource intensive, as they require cell-culturing approaches to model functional inflammatory activities, a wide age range, and longitudinal data. Here, we integrated data from five independent studies to create a diverse sample of 1,607 individuals (960 with longitudinal data; 8 to 64 years old; 359 Asian, 205 Black, and 151 Latino/a). Leveraging the resulting lifecourse data, rich interview assessments of disadvantage and stress, and ex vivo assessments of inflammation, we examined two questions: (1) Does chronic stress account for the link between disadvantage and proinflammatory phenotype? (2) Is there a developmental period during which inflammatory responses are more sensitive to disadvantage and chronic stress? Disadvantage was associated with higher chronic stress, which was linked with a proinflammatory phenotype cross-sectionally, longitudinally, and in terms of prospective change across 1.5 to 2 years. Consistent with the sensitive period hypothesis, the magnitude of these indirect associations was strongest in earlier decades and declined across the lifecourse. These findings highlight the importance of taking a lifecourse perspective in examining health disparities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it