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Open Access Research

Cumulative disadvantage? Exploring relationships between neighbourhood deprivation trends (1991 to 2006) and mortality in New Zealand

Amber L Pearson1*, Philippe Apparicio2 and Mylène Riva3

Author Affiliations

1 Department of Public Health, University of Otago, PO Box 7343, Mein Street, Newtown, Wellington 6242, New Zealand

2 Centre Urbanisation Culture Société, Institut National de la Recherche, 385, rue Sherbrooke Est, Montréal, Québec H2X 1E3, Canada

3 Centre de Recherche du CHUQ, Université Laval, 2875 Boulevard Laurier, Édifice Delta 2, bureau 600, Québec G1V 2M2, Canada

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International Journal of Health Geographics 2013, 12:38  doi:10.1186/1476-072X-12-38

Published: 21 August 2013

Abstract

Background

Area-level socioeconomic deprivation has been shown to exert an independent effect on both individual and population health outcomes and health-related behaviours. Evidence also suggests that health and economic inequalities in many countries are increasing in some areas but may be on the decline in others. While area-level deprivation at a single point in time is known to influence health, the literature relating to longitudinal deprivation of communities and associated health impacts is sparse. This research makes a methodological contribution to this literature.

Methods

Using a Latent Class Growth Model, we identified 12 deprivation trends (1991–2006) for small areas (n = 1621) in New Zealand. We then fitted regression models to assess the effects of trends of relative deprivation on a) all-cause mortality, and b) cardiovascular mortality (2005–2007) by census area unit. For comparison, we also fitted regression models to assess the effect of deprivation deciles (in 2006) on outcomes a) and b).

Results

Using trends, we found a positive association between deprivation and mortality, except for two trends for both all-cause and CVD-related mortality. When comparing trends and deciles of deprivation, we observed similar patterns. However, we found that AIC values were slightly lower for the model including deciles, indicating better model fit.

Conclusion

While we found that current deprivation was a slightly better predictor of mortality, the approach used here offers a potentially useful alternative. Future deprivation research must consider the possible loss of information about health benefits of living in areas where relative deprivation has improved in cross-sectional analyses.

Keywords:
Deprivation; Trends; Accumulation