Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2011 May 12:10:33.
doi: 10.1186/1476-072X-10-33.

Does context matter for the relationship between deprivation and all-cause mortality? The West vs. the rest of Scotland

Affiliations
Comparative Study

Does context matter for the relationship between deprivation and all-cause mortality? The West vs. the rest of Scotland

Sanjeev Sridharan et al. Int J Health Geogr. .

Abstract

Background: A growing body of research emphasizes the importance of contextual factors on health outcomes. Using postcode sector data for Scotland (UK), this study tests the hypothesis of spatial heterogeneity in the relationship between area-level deprivation and mortality to determine if contextual differences in the West vs. the rest of Scotland influence this relationship. Research into health inequalities frequently fails to recognise spatial heterogeneity in the deprivation-health relationship, assuming that global relationships apply uniformly across geographical areas. In this study, exploratory spatial data analysis methods are used to assess local patterns in deprivation and mortality. Spatial regression models are then implemented to examine the relationship between deprivation and mortality more formally.

Results: The initial exploratory spatial data analysis reveals concentrations of high standardized mortality ratios (SMR) and deprivation (hotspots) in the West of Scotland and concentrations of low values (coldspots) for both variables in the rest of the country. The main spatial regression result is that deprivation is the only variable that is highly significantly correlated with all-cause mortality in all models. However, in contrast to the expected spatial heterogeneity in the deprivation-mortality relationship, this relation does not vary between regions in any of the models. This result is robust to a number of specifications, including weighting for population size, controlling for spatial autocorrelation and heteroskedasticity, assuming a non-linear relationship between mortality and socio-economic deprivation, separating the dependent variable into male and female SMRs, and distinguishing between West, North and Southeast regions. The rejection of the hypothesis of spatial heterogeneity in the relationship between socio-economic deprivation and mortality complements prior research on the stability of the deprivation-mortality relationship over time.

Conclusions: The homogeneity we found in the deprivation-mortality relationship across the regions of Scotland and the absence of a contextualized effect of region highlights the importance of taking a broader strategic policy that can combat the toxic impacts of socio-economic deprivation on health. Focusing on a few specific places (e.g. 15% of the poorest areas) to concentrate resources might be a good start but the impact of socio-economic deprivation on mortality is not restricted to a few places. A comprehensive strategy that can be sustained over time might be needed to interrupt the linkages between poverty and mortality.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Map of Deprivation Clusters. This map illustrates that clusters of high deprivation values are concentrated in the West of Scotland compared to clusters of low deprivation in the rest of Scotland.
Figure 2
Figure 2
Map of SMR Clusters. Similar to the pattern in Figure 1, this map illustrates that clusters of high SMRs values are concentrated in the West of Scotland compared to clusters of low SMRs in the rest of Scotland.
Figure 3
Figure 3
Percentage of SMR Hotspots and Coldspots. 26% of all-cause mortality hotspots are in the West of Scotland compared to 21% of coldspots in the rest of Scotland.
Figure 4
Figure 4
Percentage of Deprivation Hotspots and Coldspots. 25% of deprivation hotspots are in the West of Scotland compared to 18% of coldspots in the rest of Scotland.
Figure 5
Figure 5
Percentage of SMR-Deprivation Hotspots and Coldspots. 22% of all-cause mortality with neighbouring deprivation hotspots are in the West of Scotland compared to 24% of coldspots in the rest of Scotland.

References

    1. Diez-Roux A. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. American Journal of Public Health. 1998;88:216–222. doi: 10.2105/AJPH.88.2.216. - DOI - PMC - PubMed
    1. Schulz A, Kannan S, Dvonch J, Israel B, Allen A, James S, House J, Lepkowski J. Social and physical environments and disparities in risk for cardiovascular disease: The healthy environments partnership conceptual model. Environmental Health Perspectives. 2005;113:1817–1825. doi: 10.1289/ehp.7913. - DOI - PMC - PubMed
    1. Pickett K, Pearl M. Multilevel analyses of neighborhood sociodemographic context and health outcomes: a critical review. Journal of Epidemiology and Community Health. 2000;5:111–122. - PMC - PubMed
    1. Mobley L, Root E, Finkelstein E, Khavjou O, Will J. Relationships between the built environment and other contextual factors, obesity, and cardiac risk. American Journal of Preventive Medicine. 2006;30:327–332. doi: 10.1016/j.amepre.2005.12.001. - DOI - PubMed
    1. Northridge M, Sclar E, Biswas P. Sorting out the connections between the built environment and health: a conceptual framework for navigating pathways and planning healthy cities. Journal of Urban Health. 2003;80:556–568. - PMC - PubMed

Publication types