Evidence map›Paper›PMID 42583128›Full record

ArticleJournal of public health research2026

Perinatal depression, and the perspective of individuals with legal backgrounds in India: Exploring policy gaps and human rights implications.

Ritika Behl, Vivek Nemane

Abstract read
In one paragraph

Article in Journal of public health research, 2026. 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

2 authors.

Ritika BehlSchool of Law, Vidyashilp University, Bengaluru, India.ORCID https://orcid.org/0000-0001-6961-0809
Vivek NemaneSymbiosis Law School, Pune, Symbiosis International (Deemed University), Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perinatal Depression (PND) remains an underrecognized public health concern in India, despite its myriad consequences for women, children and families. Unmet perinatal mental health (PMH) needs may have a multifaceted adverse impact on human rights advancements. However, in India, awareness about PND and PMH amongst healthcare providers and law enforcement agencies remains limited, which is critical for law and policy reforms. Objectives: This study assesses awareness and perceptions of PND and PMH among individuals holding Indian law degrees (IHLD), with a focus on the currently implemented mental health and rights (MHR) and the reproductive health and rights (RHR) frameworks, and their human rights implications. Study Design and Methods: Two online, cross-sectional surveys were conducted with IHLD using purposive and snowball sampling. Separate surveys were conducted to effectively cover the implementation of the MHR and RHR frameworks, to avoid confusion among participants, given the absence of integrated PMH services. Surveys included multiple-choice questions, with a small number of open-ended questions. Quantitative data were analysed descriptively, while cross-survey comparisons were made at the aggregate level to identify trends. Results: Most participants (90.6%, Conclusion: IHLD's awareness levels and perspectives can strongly influence their representation of vulnerable population groups in the courts and in the dispensation of justice. Law and policy reforms can increase awareness about PND and PMH among IHLD. However, professional development programs for IHLD and their involvement in multisectoral collaborative approaches are critical.

Indexed as

Indialegal fraternityperinatal depressionperinatal mental healthsurveys

Identifiers

PMID42583128
PMCPMC13459677

What OpenQuestion holds

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Registered trials

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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.