Intimate Partner Violence During COVID-19 Restrictions: A Study of 30 Countries From the I-SHARE Consortium Article Swipe
Linda Campbell
,
Rayner Kay Jin Tan
,
Maximiliane Uhlich
,
Joel M Francis
,
Kristen P. Mark
,
Naomi Miall
,
Stefano Eleuteri
,
Amanda Gabster
,
Simukai Shamu
,
Leona Plášilová
,
Elizabeth Kemigisha
,
Adesola Olumide
,
Priya Kosana
,
Felipe Hurtado-Murillo
,
Elin C. Larsson
,
Amanda Cleeve
,
Soraya Calvo González
,
Gabriela Perrotta
,
Victoria Fernández Albamonte
,
Lucía Blanco
,
Johanna Schröder
,
Adedamola Adebayo
,
Jacqueline Hendriks
,
Hanna Saltis
,
Michael Marks
,
Dan Wu
,
Chelsea Morroni
,
Tammary Esho
,
Peer Briken
,
Takhona Grace Hlatshwako
,
Rebecca Ryan
,
Nik Daliana Nik Farid
,
Raquel Gómez Bravo
,
Sarah Van de Velde
,
Joseph D. Tucker
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/08862605221141865
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/08862605221141865
Intimate partner violence (IPV) causes substantial physical and psychological trauma. Restrictions introduced in response to the COVID-19 pandemic, including lockdowns and movement restrictions, may exacerbate IPV risk and reduce access to IPV support services. This cross-sectional study examines IPV during COVID-19 restrictions in 30 countries from the International Sexual HeAlth and REproductive Health (I-SHARE) study conducted from July 20th, 2020, to February, 15th, 2021. IPV was a primary outcome measure adapted from a World Health Organization multicountry survey. Mixed-effects modeling was used to determine IPV correlates among participants stratified by cohabitation status. The sample included 23,067 participants from 30 countries. A total of 1,070/15,336 (7.0%) participants stated that they experienced IPV during COVID-19 restrictions. A total of 1,486/15,336 (9.2%) participants stated that they had experienced either physical or sexual partner violence before the restrictions, which then decreased to 1,070 (7.0%) after the restrictions. In general, identifying as a sexual minority and experiencing greater economic vulnerability were associated with higher odds of experiencing IPV during COVID-19 restrictions, which were accentuated among participants who were living with their partners. Greater stringency of COVID-19 restrictions and living in urban or semi-urban areas were associated with lower odds of experiencing IPV in some settings. The I-SHARE data suggest a substantial burden of IPV during COVID-19 restrictions. However, the restrictions were correlated with reduced IPV in some settings. There is a need for investing in specific support systems for survivors of IPV during the implementation of restrictions designed to contain infectious disease outbreaks.
Related Topics
Concepts
Domestic violence
Cohabitation
Poison control
Odds
Suicide prevention
Occupational safety and health
Injury prevention
Sexual violence
Reproductive health
Vulnerability (computing)
Demography
Medicine
Human factors and ergonomics
Odds ratio
Environmental health
Psychology
Geography
Population
Logistic regression
Nursing
Sociology
Computer security
Pathology
Computer science
Internal medicine
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/08862605221141865
- OA Status
- green
- Cited By
- 21
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318200281
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318200281Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/08862605221141865Digital Object Identifier
- Title
-
Intimate Partner Violence During COVID-19 Restrictions: A Study of 30 Countries From the I-SHARE ConsortiumWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-26Full publication date if available
- Authors
-
Linda Campbell, Rayner Kay Jin Tan, Maximiliane Uhlich, Joel M Francis, Kristen P. Mark, Naomi Miall, Stefano Eleuteri, Amanda Gabster, Simukai Shamu, Leona Plášilová, Elizabeth Kemigisha, Adesola Olumide, Priya Kosana, Felipe Hurtado-Murillo, Elin C. Larsson, Amanda Cleeve, Soraya Calvo González, Gabriela Perrotta, Victoria Fernández Albamonte, Lucía Blanco, Johanna Schröder, Adedamola Adebayo, Jacqueline Hendriks, Hanna Saltis, Michael Marks, Dan Wu, Chelsea Morroni, Tammary Esho, Peer Briken, Takhona Grace Hlatshwako, Rebecca Ryan, Nik Daliana Nik Farid, Raquel Gómez Bravo, Sarah Van de Velde, Joseph D. TuckerList of authors in order
- Landing page
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https://doi.org/10.1177/08862605221141865Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/9895276Direct OA link when available
- Concepts
-
Domestic violence, Cohabitation, Poison control, Odds, Suicide prevention, Occupational safety and health, Injury prevention, Sexual violence, Reproductive health, Vulnerability (computing), Demography, Medicine, Human factors and ergonomics, Odds ratio, Environmental health, Psychology, Geography, Population, Logistic regression, Nursing, Sociology, Computer security, Pathology, Computer science, Internal medicine, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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21Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 10, 2023: 5Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.contain | 244 |
| abstract_inverted_index.disease | 246 |
| abstract_inverted_index.greater | 152 |
| abstract_inverted_index.measure | 69 |
| abstract_inverted_index.outcome | 68 |
| abstract_inverted_index.partner | 1, 129 |
| abstract_inverted_index.primary | 67 |
| abstract_inverted_index.reduced | 218 |
| abstract_inverted_index.status. | 91 |
| abstract_inverted_index.suggest | 203 |
| abstract_inverted_index.support | 32, 231 |
| abstract_inverted_index.survey. | 77 |
| abstract_inverted_index.systems | 232 |
| abstract_inverted_index.trauma. | 9 |
| abstract_inverted_index.COVID-19 | 16, 40, 112, 164, 180, 210 |
| abstract_inverted_index.However, | 212 |
| abstract_inverted_index.Intimate | 0 |
| abstract_inverted_index.designed | 242 |
| abstract_inverted_index.economic | 153 |
| abstract_inverted_index.examines | 37 |
| abstract_inverted_index.general, | 144 |
| abstract_inverted_index.included | 94 |
| abstract_inverted_index.minority | 149 |
| abstract_inverted_index.modeling | 79 |
| abstract_inverted_index.movement | 21 |
| abstract_inverted_index.physical | 6, 126 |
| abstract_inverted_index.response | 13 |
| abstract_inverted_index.specific | 230 |
| abstract_inverted_index.violence | 2, 130 |
| abstract_inverted_index.(I-SHARE) | 53 |
| abstract_inverted_index.February, | 61 |
| abstract_inverted_index.conducted | 55 |
| abstract_inverted_index.countries | 44 |
| abstract_inverted_index.decreased | 136 |
| abstract_inverted_index.determine | 83 |
| abstract_inverted_index.including | 18 |
| abstract_inverted_index.investing | 228 |
| abstract_inverted_index.lockdowns | 19 |
| abstract_inverted_index.pandemic, | 17 |
| abstract_inverted_index.partners. | 176 |
| abstract_inverted_index.services. | 33 |
| abstract_inverted_index.settings. | 199, 222 |
| abstract_inverted_index.survivors | 234 |
| abstract_inverted_index.associated | 156, 190 |
| abstract_inverted_index.correlated | 216 |
| abstract_inverted_index.correlates | 85 |
| abstract_inverted_index.countries. | 99 |
| abstract_inverted_index.exacerbate | 24 |
| abstract_inverted_index.infectious | 245 |
| abstract_inverted_index.introduced | 11 |
| abstract_inverted_index.outbreaks. | 247 |
| abstract_inverted_index.semi-urban | 187 |
| abstract_inverted_index.stratified | 88 |
| abstract_inverted_index.stringency | 178 |
| abstract_inverted_index.accentuated | 168 |
| abstract_inverted_index.experienced | 109, 124 |
| abstract_inverted_index.identifying | 145 |
| abstract_inverted_index.substantial | 5, 205 |
| abstract_inverted_index.1,070/15,336 | 103 |
| abstract_inverted_index.1,486/15,336 | 117 |
| abstract_inverted_index.Organization | 75 |
| abstract_inverted_index.REproductive | 51 |
| abstract_inverted_index.Restrictions | 10 |
| abstract_inverted_index.cohabitation | 90 |
| abstract_inverted_index.experiencing | 151, 161, 195 |
| abstract_inverted_index.multicountry | 76 |
| abstract_inverted_index.participants | 87, 96, 105, 119, 170 |
| abstract_inverted_index.restrictions | 41, 181, 214, 241 |
| abstract_inverted_index.International | 47 |
| abstract_inverted_index.Mixed-effects | 78 |
| abstract_inverted_index.psychological | 8 |
| abstract_inverted_index.restrictions, | 22, 133, 165 |
| abstract_inverted_index.restrictions. | 113, 142, 211 |
| abstract_inverted_index.vulnerability | 154 |
| abstract_inverted_index.implementation | 239 |
| abstract_inverted_index.cross-sectional | 35 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 21 |
| institutions_distinct_count | 35 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.9740594 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |