There is massive variation in rates of violence across time and space. These rates are positively associated with economic deprivation and inequality. They also tend to display a degree of local persistence, or 'enduring neighbourhood effects'. Here, we identify a single mechanism that can produce all three observations. We formalize it in a mathematical model, which specifies how individual-level processes generate the population-level patterns. Our model assumes that agents try to keep their level of resources above a 'desperation threshold', to reflect the intuitive notion that one of people's priorities is to always meet their basic needs. As shown in previous work, being below the threshold makes risky actions, such as property crime, beneficial. We simulate populations with heterogeneous levels of resources. When deprivation or inequality is high, there are more desperate individuals, hence a higher risk of exploitation. It then becomes advantageous to use violence, to send a 'toughness signal' to exploiters. For intermediate levels of poverty, the system is bistable and we observe : populations can be violent because they were deprived or unequal in the past, even after conditions improve. We discuss implications of our findings for policy and interventions aimed at reducing violence.
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http://dx.doi.org/10.1098/rspb.2022.2095 | DOI Listing |
Lancet Reg Health Eur
December 2024
School of Health and Wellbeing, University of Glasgow, UK.
Background: Socioeconomic inequality in infant mortality in the UK is rising. This study aims to identify contributory maternal and pregnancy factors that can explain the known association between area deprivation and infant mortality.
Methods: A cohort study was conducted using Clinical Practice Research Datalink (CPRD) primary care data between 2004 and 2019 linked to the Index of Multiple Deprivation (IMD), and infant mortality from the Office for National Statistics death data.
JMIR Form Res
December 2024
Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Vaughan House, Portsmouth Street, Manchester, M13 9GB, United Kingdom, 44 1613067767.
Background: The potential benefits of incorporating digital technologies into health care are well documented. For example, they can improve access for patients living in remote or underresourced locations. However, despite often having the greatest health needs, people who are older or living in more socially deprived areas may be less likely to have access to these technologies and often lack the skills to use them.
View Article and Find Full Text PDFSociol Health Illn
January 2025
Centre for Health Innovation, Leadership & Learning, Nottingham University Business School, Nottingham, UK.
This paper investigates the impact of boundary spanning activities on building trust as a means of tackling health inequalities in hardly reached communities. Lack of trust has been identified as a barrier to engagement with healthcare services, resulting in poorer health outcomes. Engaging with hardly reached communities is challenging due to the social and symbolic boundaries prevalent in community healthcare settings.
View Article and Find Full Text PDFImportance: Little is known about the spatial accessibility to dental clinics across the US.
Objective: To map the spatial accessibility of dental clinics nationally and to examine the characteristics of counties and US Census block groups with dental care shortage areas.
Design, Setting, And Participants: Cross-sectional study of US dental clinics in 2023 using data from the IQVIA national practitioners' database, which includes 205 762 active dentists.
The urban environment impacts residents' health and well-being in many ways. Environmental benefits and risks may be interactively and inequitably distributed across different populations in cities, and these patterns may change over time. Here, we assess the spatial distribution of environmental risks and benefits in pairs, considering synergies and trade-offs, in an illustrative metropolitan area (Metro Vancouver) in Canada in the years 2006 and 2016.
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