The Effect of the Covid-19 Pandemic on Domestic Violence in Germany: A Comparison of Three Representative Population Surveys Article Swipe
Sören Kliem
,
Alexandra von Thadden
,
Anna Lohmann
,
Christoph Kröger
,
Dirk Baier
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/08862605221143194
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/08862605221143194
The COVID-19 pandemic has had profound societal and economic effects. Concerns were raised that domestic violence might increase because of the enacted infection control measures. Previous findings on this issue have been contradictory. Since existing studies mainly rely on official reports, administrative data, helpline calls, or retrospective measures, their findings are likely to prove unreliable. Few population-based surveys include pre-pandemic data, limiting their ability to test for causality regarding increasing violence. Therefore, the aim of this study was to compare findings from population-representative surveys on the prevalence of intimate partner violence (IPV) and violence against children (VAC) before and during the COVID-19 pandemic. Based on the data of N = 3,639 individuals living with a romantic partner and N = 1,313 parents living with at least one of their children from three German representative population surveys, we estimated average marginal effects for the temporal trends (i.e., pre vs. post infection control measures) of domestic violence separately for males and females. To minimize bias across survey waves, inverse probability weighting was used. Results show no statistically significant increase in either physical or psychological forms of IPV or VAC as a result of the implementation of COVID measures. On the contrary, the 1-year prevalence was decreasing for certain forms of violence. Our findings suggest that the assessment of the consequences of infection control measures needs an empirical basis. Further research should be conducted using high-quality data sources. Therefore, the present study should be considered a stepping stone for ongoing research efforts to examine the consequences of pandemic-related infection control measures on the general population.
Related Topics
Concepts
Domestic violence
Population
Pandemic
Poison control
Injury prevention
Suicide prevention
Psychology
Demography
Medicine
Coronavirus disease 2019 (COVID-19)
Environmental health
Sociology
Pathology
Disease
Infectious disease (medical specialty)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/08862605221143194
- OA Status
- green
- Cited By
- 13
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4315928573
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4315928573Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/08862605221143194Digital Object Identifier
- Title
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The Effect of the Covid-19 Pandemic on Domestic Violence in Germany: A Comparison of Three Representative Population SurveysWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-13Full publication date if available
- Authors
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Sören Kliem, Alexandra von Thadden, Anna Lohmann, Christoph Kröger, Dirk BaierList of authors in order
- Landing page
-
https://doi.org/10.1177/08862605221143194Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9849116Direct OA link when available
- Concepts
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Domestic violence, Population, Pandemic, Poison control, Injury prevention, Suicide prevention, Psychology, Demography, Medicine, Coronavirus disease 2019 (COVID-19), Environmental health, Sociology, Pathology, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 3, 2024: 7, 2023: 3Per-year citation counts (last 5 years)
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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