Intimate Partner Violence Against Women in Burkina Faso During COVID-19: A Cross-Sectional Study
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Intimate Partner Violence (IPV) prevalence in Burkina Faso doubled from 2010 to 2021, reaching 29% during the COVID-19 pandemic. Key factors include partner
Area Of Science
- Public Health
- Sociology
- Epidemiology
Background
- Intimate Partner Violence (IPV) is a significant global public health issue.
- The COVID-19 pandemic has been associated with changes in domestic violence rates worldwide.
- Understanding IPV prevalence and its determinants in low-income countries like Burkina Faso is crucial.
Purpose Of The Study
- To determine the prevalence of Intimate Partner Violence (IPV) in Burkina Faso in 2021.
- To identify sociodemographic factors associated with IPV during the COVID-19 pandemic.
- To compare current IPV rates with historical data from 2010.
Main Methods
- Cross-sectional study utilizing the 2021 Burkina Faso Demographic and Health Survey (DHS) data.
- Sample included 9702 women aged 15-49 years, selected via a 2-stage probability sampling design.
- Bivariate and multiple logistic regression analyses were employed to identify significant predictors of IPV.
Main Results
- Overall IPV prevalence increased from 15% in 2010 to 29% in 2021.
- Emotional violence was the most common form (25.6%), followed by physical (14%) and sexual abuse (3.7%).
- Factors associated with higher IPV included partner's alcohol use, disagreements on family size, and witnessing paternal violence.
Conclusions
- IPV prevalence in Burkina Faso was high in 2021, potentially exacerbated by the COVID-19 pandemic.
- Sociodemographic factors significantly predict IPV, highlighting specific at-risk populations.
- Further research is needed post-pandemic to ascertain if the increase is a trend or pandemic-specific; targeted interventions are recommended.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Sexually transmitted infections (STIs) are diseases transmitted primarily through unsafe sexual interactions. Bacteria, viruses, or parasites cause them and can result in severe health complications if untreated.ChlamydiaThe bacterium Chlamydia trachomatis is responsible for the disease Chlamydia, the most common STI in the United States. This peculiar pathogen requires human cells to reproduce, residing intracellularly. The initial infection often goes unnoticed because it typically does not...
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Selection Bias: This occurs when the study population is not...
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...