Premenstrual Syndrome in Thai Nurses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To investigate prevalence of premenstrual syndrome (PMS) and its associated factors among Thai nurses. METHODS: The study was conducted in 423 nurses in a university hospital during October 2005 to March 2006. Prevalence of PMS was determined using a validated Thai version of Premenstrual Symptoms Screening Tool (PSST). Factors associated with PMS were analyzed using Student t-test and Chi-square test. RESULTS: The prevalence of PMS in Thai nurses was 25.1%. Nurses with younger age, nulligravida, lower income, more coffee consumption, dysmenorrhea, and negative attitude toward menstruation had higher prevalence of PMS. After multiple logistic regression analysis, the significant factors associated with PMS were coffee consumption > 1 cups/day and negative attitude toward menstruation; odds ratios (95% confidence interval) were 2.322 (1.257 to 4.288) and 5.768 (2.096 to 15.872), respectively. CONCLUSION: According to the Thai PSST, 25.1% of Thai nurses are suffering from PMS. The significant associated factors were more coffee consumption and negative attitude toward menstruation.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it