Geographies of Health References

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12 Terms

1
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  • Context and composition are not mutually exclusive but places encompass both the people within them and the wider environment

  • People of higher socioeconomic status often have better access to resources, money, knowledge, power and networks that promote better health

  • Place is an ecosystem made up of people, systems and structures so to separate context and composition is to oversimplify

  • Health varies with age, ethnicity, occupation, physical environments and social/spatial inequalities

  • Historical events such as C19th industrialisation or Thatcherism can also impact health

Bambra, 2016

2
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  • The second Marmot Review highlighted that people can now expect to spend more of their lives in poor health

  • Improvements to life expectancy have stalled and health inequalities grow

Marmot et al., 2020

3
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  • Income inequality and health have been linked in the US, UK and Brazil; often interpretations of this ignore contextual determinants

  • Income inequality can impact health through perceptions of place in a social hierarchy leading to antisocial behaviour, reduce participation and low community cohesion

  • There is a clustering of conditions impacting population health interacting with hierarchy impacts

  • Social capital in terms of trust, belonging and volunteering could be more important than economic GDP

Lynch et al., 2000

4
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  • ‘People make places, and places make people’ shows the interconnectedness of context and composition

  • To separate context and composition is to oversimplify the relationship between place and health where it acts like an ecosystem

Macintyre & Ellaway, 2003

5
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  • Clustering can see unemployed people living near other unemployed people

  • On small scales, places can create conditions such as pollution but also perceptions on health and healing

  • Places where fewer people are ill would be expected to have higher levels of social capital and community showing the connection

  • On smaller scales, differences in health are often seen as a product of the individual but internationally area affects are often seen as more important

  • The history of a place is important in the life course of the place as well as genetic inheritance

Tunstall et al., 2004

6
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  • Greenspace creates a venue for exercising to improve physical and mental health

  • It can also be sen to improve cognitive functioning and sleep quality

  • Those with greater greenspace deprivation levels have been shown to have shorter life expectancies that those less deprived

The Health Foundation, 2024

7
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  • Wellbeing is a network of reinforced individual, community and place impacts that are often associated with use of green space, civic agency and neighbourhood cohesion

  • The individual and context of a place are in a reciprocal relationship as one’s health will be based on the resources available as well as other factors

  • Individual factors have been seen to be the strongest predictors of well-being as financial difficulties and physical health have strong connections to poorer wellbeing

  • Individuals often do not have control over place based conditions such as COVID limiting access to greenspace

  • Joint decision making is important in increasing feelings of civic agency, neighbourhood purpose and optimism

  • Hearth is important as it informs on wider policy, future work should unpack more complex relationships

McElroy et al., 2021

8
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  • Place is often underestimated in its contribution to disease risk, this should be understood better to inform policy interventions

  • Context of place is importance as it constitutes social relations and physical resources

  • Relational perspectives are important in understanding how context impacts health through feedback loops and dynamic natures of place

  • Power relations are important as actors control and maintain health influencing factors, there can be places of prescription or negotiation and exogenous processes can also impact local places

  • Access to resources is not necessarily the same as geographical proximity, relative position is important

Cummins et al., 2007

9
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  • Multilevel modelling allows for better separation of individual and contextual factors seeing how there can be direct and indirect impacts of the two

  • There should be better frameworks and comparisons used for understanding health outcomes as well as the dynamic nature of places subject to processes such as migration

  • There is a focus on context which may take the blame away from the individual and onto the government

  • It is time for more interconnected and humanistic theories of health variation, it is not isolated but policy should strive for greater depth

Smyth, 2008

10
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  • The Dahlgren-Whitehead rainbow model broadens horizons to allow people to think beyond the health sector into local environments, it escapes the idea that health is determined by formal health services

  • It allows people to work together on a common goal with each sector taking responsibility, it is easy to understand and includes more than just risk

  • It consists of layers and focuses on health as a whole rather than specific diseases

  • The model is not about inequality and is not an analytical tool but simply a visual representation

  • In the future it aims for better illustrations of links, focus on commercial determinants and the idea of racism as a driving force

Dahlgren & Whitehead, 2021

11
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  • Minority ethnic groups have been disproportionately impacted by COVID-19 through multiple pathways as a result of social processes and hidden structural racism

  • Ethnicity is a socially constructed idea tat causes inequalities to rise through broader social mechanisms

  • There are impacts of differential expose, vulnerability, disease consequences, social consequences, effectiveness or control measures and adverse consequences of control measures all leading to unequal health outcomes

  • Ethnicity must be better understood in order for action to be more meaningful

Katikireddi et al., 2021

12
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  • The Preston curve states a strong positive relationship between national incomes and life expectancy in poorer countries and also sees that this relationship is changing with life expectancy increasing at all levels

  • There is a dispute over which mechanisms is the most important

  • The relationship is also true for individuals speaking of their relative income and how it places them in the social hierarchy

  • Arguments for redistribution lack evidence from the curve but there is clear importance of technological innovation and resource allocation

  • There may be a reverse link between health and wealth that would have important implications for economic development and poverty reduction

Bloom & Canning, 2007