Differences in the activity of the HPA-Axis in non-alcoholic females as a function of family history of alcoholism
Bibliographic record
Abstract
V to alcoholism is determined by the interplay of genetic and environmental factors such as stress. A number of studies have demonstrated differences in the activity of the HPA-axis under basal conditions and in response to alcohol and stress as a function of family history of alcoholism. Most of the studies have been performed using male participants. Though males present a higher incidence of alcoholism than females, alcoholism is observed in females, while there is evidence for a higher incidence of alcoholism in the daughters of alcoholic parents. The present studies test the hypothesis that there are differences in the activity of the HPA-axis under basal conditions and in response to stress and alcohol between non-alcoholic females with and without a family history of alcoholism. Participants were between 18-30 years old. The response of the HPAaxis to placebo or alcohol containing drinks and to a stress task was determined by measuring plasma ACTH and cortisol concentrations prior to and at specific time points following the drink and performance of the stress task. Results demonstrated higher basal levels of ACTH and cortisol as well as a higher response to alcohol and stress in females with a family history of alcoholism. Consumption of an alcohol drink attenuated or prevented the stress induced increase of both ACTH and cortisol regardless of the family history. Thus, non-alcoholic females present differences in the activity of the HPA-axis as a function of family history of alcoholism which may be important in determining vulnerability for alcohol abuse.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".