Associations among Education, Cortisol Rhythm, and BMI in Blue‐collar Women
Bibliographic record
Abstract
OBJECTIVE: This study sought to test whether a biological measure of chronic stress, Delta cortisol, was related to BMI and whether the relationship between Delta cortisol and BMI varied according to education and positive affect. RESEARCH METHODS AND PROCEDURES: One hundred fifty-four women from a blue-collar women's health project in 11 industrial sites in rural North Carolina provided saliva for cortisol assays for a substudy on "stress." Delta Cortisol, the difference between awakening and midday cortisol measures representing diurnal decline, was calculated (lower values = greater stress). BMI was regressed on Delta cortisol, education, and positive affect. Analyses were controlled for age, race, and worksite. Standardized beta-coefficients were calculated. RESULTS: For participants with complete data (n = 129), BMI was greater (beta; 95% confidence interval) for women with less than high school education (0.56; 0.18, 0.94) and those who completed high school (0.26; -0.05, 0.57) relative to women with greater than a high school education (p = 0.009). Delta Cortisol was inversely related to BMI (-0.32; -0.59, -0.05; p = 0.022). Education positively modified the inverse relationship between Delta cortisol and BMI (p = 0.047). Positive affect was negatively associated with BMI (-0.44; -0.82, -0.06; p = 0.026) and positively modified the inverse association between Delta cortisol and BMI (0.33; -0.03, 0.69; p = 0.074). DISCUSSION: Education and Delta cortisol were inversely related to BMI, and the magnitude of the association between Delta cortisol and BMI was buffered by higher education. Positive affect was inversely related to BMI. Chronic stress is associated with higher BMI, with this relation attenuated by higher education and, possibly, a positive affect.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".