Evidence map›Paper›PMID 35990408›Full record

ArticleSSM - population health2022

Decomposing the gap in intimate partner violence between Scheduled Caste and General category women in India: An analysis of NFHS-5 data.

Sourav Chowdhury, Aditya Singh, Nuruzzaman Kasemi, Mahashweta Chakrabarty

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Sourav ChowdhuryDepartment of Geography, Raiganj University, Raiganj, West Bengal, India.
Aditya SinghDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Nuruzzaman KasemiDepartment of Geography, Raiganj University, Raiganj, West Bengal, India.
Mahashweta ChakrabartyDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Banaras Hindu University · INRaiganj University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scheduled Caste (SC) women, one of India's most oppressed and neglected population groups, are the most vulnerable to intimate partner violence (IPV). IPV, on the other hand, is less common among women in the General category. No study has been conducted to measure the gap in IPV between these two groups. This study is an attempt to fill this gap. This study aims to comprehensively explore the factors that underlie and explain the gap in IPV between SC and General women. Information on 10,168 ever-married SC and 9695 ever-married General women aged 15-49 from the fifth round of the National Family Health Survey was analyzed. The Fairlie decomposition (Blinder-Oaxaca decomposition modified for binary outcomes) was used in this study to explain the gap in ever experience of IPV prevalence between SC and General women. About 37.3% and 24.4% of ever-married SC and General women in India suffered either physical or mental or sexual violence from their husbands. The large part of the gap in IPV between SC and General women was due to differences in husbands' alcohol consumption (26.33% gap), wealth index (24.48% gap), controlling behavior by husband (24%) and parental IPV (15.87% gap). With the introduction of appropriate interventions and programs, these gaps can be reduced. Interventions aimed at reducing alcoholism should be emphasized.

Indexed as

Domestic violenceIntimate partner violenceIPVNFHSScheduled casteViolence against women

Identifiers

PMID35990408
PMCPMC9382320
OpenAlexW4289526320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.