Exploring the Relationship Between Childhood Adversity and Adult Autoimmune Symptoms
Bibliographic record
Abstract
<p>Adverse childhood experiences (ACEs) have been associated with negative health outcomes, including autoimmunity, in which the immune system erroneously attacks healthy body tissue. This study investigates if variations of ACEs, including type, timing, and severity, are related to autoimmunity. Participants completed an online questionnaire study which included measures of ACEs, autoimmune conditions, perceived immune status, disease severity, and posttraumatic stress disorder (PTSD) symptoms. Measures of familial autoimmunity, childhood socioeconomic status, as well as anxiety and depression symptoms, and childhood trauma severity, were administered. ACEs were related to an increased risk for autoimmune conditions, poorer perceived immune status, and increased disease severity. Results suggest that more types of exposure earlier in development are associated with the poorest outcomes. PTSD symptom severity does not meaningfully moderate the relationship between ACEs and autoimmunity. Implications are discussed in the context of a nonclinical sample. Limitations of this study and future directions are also presented.</p>
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".