Evidence map›Paper›PMID 37968380›Full record

ArticleAmerican journal of epidemiology2024

Climate and Gender: Association Between Droughts and Intimate Partner Violence in India.

Nabamallika Dehingia, Lotus McDougal, Jay G Silverman, Elizabeth Reed, Lianne Urada, Julian McAuley, Abhishek Singh, Anita Raj

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. "Frontiers in public health · 2025
    Article
  3. Article
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

8 authors.

Nabamallika Dehingia
Lotus McDougal
Jay G Silverman
Elizabeth Reed
Lianne Urada
Julian McAuley
Abhishek Singh
Anita Raj

Funding

Bupe by the Book: Developing and Testing a Tele-Buprenorphine Intervention in Public Libraries with Unstably Housed Persons with Opioid Use DisorderR21DA056805 · NIDA · SAN DIEGO STATE UNIVERSITY · PI URADA, LIANNE A · 2022 to 2024
$487k
Gates Foundation OPP1179208NIDA NIH HHS R21 DA056805
6 · The paper itself

Abstract

Extreme climate events are related to women's exposure to different forms of violence. We examined the relationship between droughts and physical, sexual, and emotional intimate partner violence (IPV) in India by using 2 different definitions of drought: precipitation-based drought and socioeconomic drought. We analyzed data from 2 rounds of a nationally representative survey, the National Family Health Survey, where married women were asked about their experiences of IPV in the previous year (2015-2016 and 2019-2021; n = 122,696). Precipitation-based drought was estimated using remote sensing data and geographic information system (GIS) mapping, while socioeconomic drought status was collected from government records. Logistic regression models showed precipitation-based drought to increase the risk of experiencing physical IPV and emotional IPV. Similar findings were observed for socioeconomic drought; women residing in areas classified as drought-impacted by the government were more likely to report physical IPV, sexual IPV, and emotional IPV. These findings support the growing body of evidence regarding the relationship between climate change and women's vulnerability, and highlight the need for gender responsive strategies for disaster management and preparedness.

Indexed as

DroughtsIntimate Partner ViolenceFemaleHumansIndiaPrevalenceRisk FactorsSexual PartnersViolencedroughtIndiaintimate partner violenceviolence against women

Identifiers

PMID37968380
PMCPMC10999644

What OpenQuestion holds

Textmetadata
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.