Evidence map›Paper›PMID 40630372›Full record

ReviewCureus2025

Mapping Menstrual and Pelvic Health Scenario in India: A Scoping Review of Biopsychosocial Factors.

Suroshree Mitra, Anu Arora, Apurv Shimpi

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Suroshree MitraDepartment of Physiotherapy, School of Physiotherapy, D. Y. Patil (Deemed to be) University, Navi Mumbai, IND.
Anu AroraDepartment of Physiotherapy, School of Physiotherapy, D. Y. Patil (Deemed to be) University, Navi Mumbai, IND.
Apurv ShimpiDepartment of Physiotherapy, Sancheti Institute for Orthopedics and Rehabilitation College of Physiotherapy, Maharashtra University of Health Sciences, Pune, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Menstrual and pelvic health are critical for adolescent girls' well-being, yet cultural taboos, inadequate education, and limited resources in India hinder effective menstrual hygiene management (MHM) and contribute to adverse health and social outcomes. This scoping review maps the knowledge, attitudes, and practices related to pelvic health, menstrual health, and hygiene among adolescent girls in India, applying the biopsychosocial model to identify gaps and inform interventions. Following the guidelines, a comprehensive search was performed on PubMed and ScienceDirect using key terms ("menstrual health" OR "menstrual hygiene") AND ("pelvic health") AND ("adolescents" OR "school girls") AND ("India"). Based on the eligibility criteria, a total of seven studies were included, which revealed pervasive myths (e.g., menstrual impurity), limited premenarche knowledge (23-81.8% awareness), and inadequate MHM practices (e.g., 63% rural cloth use). Negative attitudes, driven by taboos, caused shame and school absenteeism (17-24%). Poor water, sanitation, and hygiene facilities and nonstandardized curricula exacerbated gaps. Government initiatives lack uniform implementation, and cultural, educational, and environmental barriers undermine adolescent menstrual health in India. Standardized, gender-inclusive education, improved facilities, and culturally sensitive interventions are needed to enhance MHM and reduce health disparities, fostering adolescent well-being.

Indexed as

adolescent girlsbiopsychosocial modelmenstrual healthmenstrual hygiene managementpelvic health

Identifiers

PMID40630372
PMCPMC12237207

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.