Suicidal Ideation and Suicide Attempts in Middle-Aged Women Attending a Primary Care Center: A Cross-Sectional Study in Mexico
Bibliographic record
Abstract
BACKGROUND: Very little is known about suicide attempts in middle-aged women in Mexico. The aims of this study were to determine: 1) the prevalence of suicidal ideation and suicide attempts in middle-aged women in Durango City, Mexico; and 2) the suicide attempt prevalence association with the sociodemographic, clinical, and behavioral characteristics of the women studied. METHODS: Through a cross-sectional study, 395 middle-aged women were surveyed. Suicidal ideation, suicide attempt data, and the characteristics of the women were obtained with the aid of a questionnaire. Bivariate and multivariate analyses were used to determine the association between suicide attempts and the characteristics of women. RESULTS: Of the 395 women (mean age: 46.97 ± 5.34 years) studied, 50 (12.7%) had suicide ideation, and 20 (5.1%) had suicide attempts. The number of suicide attempts among these 20 women varied from 1 to 10 times. The most frequent method used for suicide attempt was intake of medicaments (in 11 women). None of the sociodemographic characteristics was associated with suicide attempts. Women with suicide ideation, abdominal pain frequently, and reflexes impairment had a significantly higher frequency of suicide attempts than those without these characteristics. Logistic regression of behavioral variables showed that only the variable alcohol consumption was independently associated with suicide attempts (odds ratio = 2.82; 95% confidence interval: 1.01 - 7.84; P = 0.04). CONCLUSIONS: Results suggest that suicidal ideation and suicide attempts are prevalent among women of middle-age attending a public primary care center in Durango City. This is the first report of an association between suicide attempts and reflexes impairment. Factors associated with suicide attempts found in this study may help in the design of preventive measures against suicide.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".