Endogenous Sex Hormone Changes in Postmenopausal Women in the Diabetes Prevention Program
Bibliographic record
Abstract
CONTEXT: Whether endogenous sex hormones (ESH) [SHBG, estradiol, testosterone, and dehydroepiandrosterone (DHEA)] are altered by intensive lifestyle modification (ILS) or metformin and whether such changes affect glucose levels among dysglycemic postmenopausal women is unclear. OBJECTIVES: Our objective was to examine intervention impact on ESH and associations with fasting plasma glucose (FPG) and 2-h glucose changes among postmenopausal glucose-intolerant women. DESIGN: We performed a secondary analysis of a randomized controlled trial. PARTICIPANTS: Participants included postmenopausal, overweight, glucose-intolerant women not using exogenous estrogen (n = 382) who participated in the Diabetes Prevention Program. INTERVENTIONS: Interventions included ILS with the goals of weight reduction of at least 7% of initial weight and 150 min/wk of moderate intensity exercise or metformin or placebo administered 850 mg twice a day. MAIN OUTCOME MEASURES: Intervention-related changes in ESH and associations of changes in ESH and glucose levels were evaluated. RESULTS: ILS significantly increased SHBG and decreased DHEA before and after adjustment for changes in waist circumference and fasting insulin. ILS did not alter estradiol or testosterone. Metformin did not change any ESH. ILS-induced increases in SHBG and declines in DHEA were associated with decreases in FPG and 2-h glucose, and declines in estradiol were associated with decreases in FPG, before and after adjustment for age, FSH, race/ethnicity, changes in waist circumference, and 1/fasting insulin. CONCLUSIONS: Among postmenopausal glucose-intolerant women not using estrogen, ILS increased SHBG levels and lowered DHEA levels. These changes were associated with lower glucose independent of adiposity and insulin. Metformin effects upon ESH were not significant.
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 | 0.007 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".