Menstrual hygiene practices and associated factors among Indian adolescent girls: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: Menstrual hygiene management (MHM) and practices by adolescent females of low and middle-income countries (LMICs) are a severe public health issue. The current systematic review and meta-analysis aimed to estimate the pooled proportion of the hygiene practices, menstrual problems with their associated factors, and the effectiveness of educational interventions on menstrual hygiene among adolescent school girls in India. METHODS: PRISMA checklist and PICO guidelines were used to screen the scientific literature from 2011 to 2021. The Newcastle-Ottawa Scale was used to assess the quality of studies. Four themes were developed for data analysis, including hygiene practices, type of absorbent used, menstruation associated morbidities and interventions performed regarding menstruation. Eighty-four relevant studies were included and a meta-analysis, including subgroup analysis, was performed. RESULTS: Pooled data revealed a statistically significant increase in sanitary pad usage "(SMD = 48.83, 95% CI = 41.38-57.62, p < 0.00001)" and increased perineum practices during menstruation "(SMD = 55.77, 95% CI = 44.27-70.26, p < 0.00001)". Results also reported that most prevalent disorders are dysmenorrhea "(SMD = 60.24, 95% CI = 50.41-70.06, p < 0.0001)", Pre-menstrual symptoms "(SMD = 62.67, 95% CI = 46.83-78.50, p < 0.00001)", Oligomenorrhea "(SMD = 23.57, CI = 18.05-29.10, p < 0.00001), Menorrhagia "(SMD = 25.67, CI = 3.86-47.47, p < 0.00001)", PCOS "(SMD = 5.50, CI = 0.60-10.40, p < 0.00001)", and Polymenorrhea "(SMD = 4.90, CI = 1.87-12.81, p < 0.0001)". A statistically significant improvement in knowledge "(SMD = 2.06, 95% CI = 0.75-3.36, p < 0.00001)" and practice "(SMD = 1.26, 95% CI = 0.13-2.65, p < 0.00001)" on menstruation was observed. Infections of the reproductive system and their repercussions can be avoided with better awareness and safe menstruation practices. CONCLUSIONS: Learning about menstrual hygiene and health is essential for adolescent girls' health education to continue working and maintaining hygienic habits. Infections of the reproductive system and their repercussions can be avoided with better awareness and safe menstruation practices.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.047 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".