Association Between Suicidal Behavior and Clinical Features of Premenstrual Syndrome and Menstrual History: A Cross Sectional Study
Bibliographic record
Abstract
BACKGROUND: The link between suicidal behavior and premenstrual syndrome has been poorly studied. This study aimed to determine the association of suicide attempts, and suicidal ideation and signs and symptoms of premenstrual syndrome and menstrual history in women in Durango City, Mexico. METHODS: Using a cross-sectional study design, 437 women were interviewed to obtain clinical data about their premenstrual period, menstrual history and suicidal behavior. Logistic regression was used to assess the association between suicide behavior and clinical features of women. Odds ratio (OR) adjusted by age, presence of mental illness, and residence area, and 95% confidence interval (CI) were obtained. RESULTS: Of these women, 29 (6.6%) had a history of suicidal ideation, and 15 (3.4%) had a history of suicide attempts. Logistic regression showed that suicidal ideation was associated with the variables: presence of irregular periods (OR = 2.89; 95% CI: 1.10 - 7.55; P = 0.03), low back pain (OR = 4.57; 95% CI: 1.31 - 15.92; P = 0.01), desire to eat certain food or eat a lot (OR = 2.47; 95% CI: 1.10 - 5.57; P = 0.02), guilty feeling (OR = 2.43; 95% CI: 1.06 - 5.59; P = 0.03), and aggressiveness (OR = 3.19; 95% CI: 1.42 - 7.13; P = 0.005). Whereas logistic regression showed that a history of suicide attempts was associated with the variables: presence of irregular periods (OR = 9.57; 95% CI: 1.23 - 74.44; P = 0.03), and desire to eat certain food or eat a lot (OR = 3.08; 95% CI: 1.04 - 9.15; P =0.04). CONCLUSIONS: In this first study on the link of suicide behavior and clinical features of premenstrual syndrome, results suggest that suicidal ideation and suicide attempts are associated to specific signs or symptoms of premenstrual syndrome. Further research to confirm the findings of this study is needed. Results might help for an optimal planning of preventive measures against suicide.
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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 | 0.030 | 0.019 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".