REGIONAL RURAL DIFFERENCES IN THE EPIDEMIOLOGICAL CHARACTERISTICS OF THE MENSTRUAL CYCLE (MC), ACCORDING TO AGROCHEMICAL (AC) USE, IN A COUNTRY OF LATIN AMERICA.
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
Background and Aims: To describe for first time, the characteristic of menstrual cycle (MC) in a Colombian group of rural fertile women and evaluate if there are differences according rural geographic regions with different use of agrochemicals. Methods: An ecological study of menstrual cycle characteristics (menarche, cycle length, bleeding length and variability) according physical and sociodemographic characteristics in 1603 Colombian rural fertile women from five rural regions with different use of agrochemicals, was performed. Results: Age mean was 22.4 (SD 4.4) years, minimal 15 and maxim 54. Mean of cycle length was 31.3 (SD11.4) with a range between 12 to 180 days, bleeding length had a mean of 4.7 (SD 2.0), range 1-47 days, and menarche installation had a mean of 13.0 (SD1.4), range 8-18 years. Distribution of cycle length in different regions doesn’t offer great differences but proportion of women with variability was 11.7% and was highest in the region with most intensive use of agrochemicals products cause of illicit crops (21.6%). Regional differences in the menarche age were founded. Conclusion: It is the first time that a community population based study is performed in order to know general characteristics of MC in a country with special use of agrochemicals. Regional differences were strong but it is impossible conclude that them have been caused only for use of AC products, but this study sheds light to geographical areas where is necessary to make other kind of complementary studies and present a basic information for subsequent studies related with MC.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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