Connecting social environment variables to the onset of major specific health outcomes
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
OBJECTIVE: The present research examined the effects of the social environment on the onset of specific health ailments. DESIGN: Using data from the Health and Retirement Study, we examined participants' responses to social environment questions in 2006 as predictors of onset of different health conditions over the next four years. MAIN OUTCOME MEASURES: Healthy participants (n = 7514) reported on their number of social partners, interaction frequency, positive social support and negative social support with respect to both their family and friends. These variables were used to predict onset of seven conditions in 2010: high blood pressure, heart condition, lung disease, cancer, stroke, diabetes and arthritis. RESULTS: Logistic regressions indicated that the social environment provided some predictive value for onset of most health outcomes, with more positive and less negative social support appearing to buffer against onset. Social environmental variables related to friendships appeared to play a greater role than the family indicators. However, no variable proved universally adaptive, and social indicators had little value in predicting onset of chronic conditions. CONCLUSION: The current findings point to the potential for the social environment to influence later health, while demonstrating the nuanced role that our social lives play with respect to health.
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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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