Effects of antidepressant type on allostatic load of male and female psychiatric outpatients
Bibliographic record
Abstract
Sex differences and antidepressant use are not systematically accounted for in studies measuring physiological dysregulations associated with chronic stress and allostatic load (AL) in neuropsychiatry. Critically, assessing commonly prescribed antidepressant medications, such as selective serotonin reuptake inhibitors (SSRIs) and selective serotonin and norepinephrine reuptake inhibitors (SNRIs) could help monitor potential iatrogenic effects on AL and health that are associated with prolonged antidepressant use. The objective of this exploratory analysis was to investigate how male and female psychiatric outpatients using either SSRIs or SNRIs differ in their AL indices. To achieve this, we used data from a larger project collecting administrative, medical, and biological data among psychiatric outpatients of the Anjou Clinic for Mood and Anxiety Disorders, based in Montreal, Canada ( n = 116). Sociodemographic variables included age and birth-assigned sex. We calculated AL using 10 biomarkers reflecting cardiovascular ( systolic blood pressure, diastolic blood pressure, pulse ) and metabolic ( glucose, creatinine, total cholesterol, high density lipoprotein cholesterol (HDL), total cholesterol/HDL ratio, triglycerides, body mass index) functioning. Psychiatric medications were classified using the Anatomical and Therapeutic Classification system. We found that relative to female outpatients, male outpatients showed significantly higher AL levels. In addition, relative to SSRI users, SNRI users had significantly higher AL levels. However, there were no interactions effects between birth-assigned sex and antidepressant types on AL. We discuss the potential clinical implications of our findings, as well as directions for future studies that aim to investigate AL among male and female patients using antidepressants. • Allostatic load (AL) is a physiological measure of the wear and tear of chronic stress. • Sex differences and antidepressant use are inconsistently reported in studies of AL/psychiatry. • Different antidepressants may have distinct effects on AL biomarkers of psychiatric patients. • Male outpatients had higher allostatic load compared to female outpatients. • SNRI users had higher allostatic load indices relative to SSRI users.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".