Menstrual disorders: The implications on health and academic activities of female undergraduates in a federal university in Nigeria
Bibliographic record
Abstract
Menstruation is a natural phenomenon in a female who has reached the age of puberty. However, it is often associated with some discomforts which may affect women’s health and academic activities of students. The study assessed the knowledge, management of menstrual disorders and the health and academic implications on young female under- graduates using a descriptive cross sectional design. A sample of 400 female undergraduates participated in the study. Data was collected using a 72-item semi structured questionnaire. Data collection lasted for two weeks and analysis was done using descriptive and inferential statistics at 0.05 level of significance. Result showed that 61% (n = 244) had good knowledge of menstrual disorders and its management. Most prevalent menstrual disorders found in the study was dysmenorrhoea. Missing school was the highest academic effect recorded (64.5%, n = 258) while Dizziness (51%, n = 204) was the highest health implication recorded. A significant association was found between dysmenorrhoea and school absenteeism (χ 2 = 65.7, P < .05). The study reiterated the need for early educational programme that will assist the female undergraduates to cope well with menstrual disorders without any effect on their health and academics.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".