Evidence map›Paper›PMID 34691785›Full record

ArticleEgyptian journal of forensic sciences2021

Violence and sociodemographic related factors among a sample of Egyptian women during the COVID-19 pandemic.

Asmaa Mohammad Moawad, Eman D El Desouky, Marwa Rashad Salem, Ahmed Sallam Elhawary, Sara M Hussein, Fatma Mohamed Hassan

Abstract read
In one paragraph

Article in Egyptian journal of forensic sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Asmaa Mohammad MoawadDepartment of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Cairo University, Kasr Alainy Street, Cairo, 11562 Egypt.ORCID 0000-0002-8448-0034
Eman D El DesoukyDepartment of Epidemiology and Biostatistics, Faculty of Medicine, National Cancer Institute, Cairo University, Kasr Alainy Street, Cairo, 11562 Egypt.
Marwa Rashad SalemDepartment of Public Health and Community Medicine, Faculty of Medicine, Cairo University, Kasr Alainy Street, Cairo, 11562 Egypt.
Ahmed Sallam ElhawaryQena Faculty of Medicine, South Valley University, Qena, Egypt.
Sara M HusseinQena Faculty of Medicine, South Valley University, Qena, Egypt.
Fatma Mohamed HassanDepartment of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Cairo University, Kasr Alainy Street, Cairo, 11562 Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against women is a worldwide problem that affects different social and economic classes, and this violence has almost increased with pandemics as the COVID-19 pandemic. The present survey aimed to assess the prevalence of violence against women in Egypt during the COVID-19 pandemic and to identify the relationship between sociodemographic factors and violence exposure. A total of 509 women were recruited using a self-completion e-form questionnaire.

resultsThe prevalence of violence experienced by women was (43.8%); the most common type was the emotional representing (96.0%) of exposed women, while sexual violence was the least common (13.5%). Violence exposure was affected significantly by residence governorates, husbands' working status, reduced husbands' working hours, and history of violence exposure.

conclusionsViolence against women in Egypt was increased during the COVID-19 pandemic, which raises the need for a strong and urgent anti-violence program to control this problem.

Indexed as

Domestic violenceEgyptSARS-CoV-2SurveyWomen

Identifiers

PMID34691785
PMCPMC8520827

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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.