Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality
Abstract Background Area-level measures of socioeconomic deprivation are important for understanding and describing health inequalities. The aim of this study was the development and validation of a small-area index of socioeconomic deprivation for Cypriot communities and the investigation of its as...
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doaj-2607f303b5a74bbb8fb68d4d1c6d60c62020-11-25T03:24:05ZengBMCBMC Public Health1471-24582019-05-0119111110.1186/s12889-019-6973-0Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortalityDemetris Lamnisos0Galatia Lambrianidou1Nicos Middleton2Department of Health Sciences, School of Sciences, European University CyprusDepartment of Health Sciences, School of Sciences, European University CyprusDepartment of Nursing, School of Health Sciences, Cyprus University of TechnologyAbstract Background Area-level measures of socioeconomic deprivation are important for understanding and describing health inequalities. The aim of this study was the development and validation of a small-area index of socioeconomic deprivation for Cypriot communities and the investigation of its association with the spatial distribution of all-cause premature adult mortality. Methods Six area-level socioeconomic indicators were used from the 2011 national population census (low educational attainment, unemployment, not owner occupied household, single-person household, divorced or widowed and single-parent households). After normalization and standardization of the geographically smoothed indicators, Principal Component Analysis (PCA) was used to construct indicator weights. The association between deprivation indices and the spatial distribution of all-cause premature adult mortality was estimated in Poisson log-linear spatial models. Results PCA resulted in two principal components explaining the 65.7% of the total variance. The first principal component included four indicators (low educational attainment, single-person households, divorced or widowed and single-parent households, the latter however with a negative loading) and it thought more likely to capture rural-related aspects of deprivation. The second principal component included the other two indicators (unemployment and not owner occupied households) and it is more likely to capture urban-related aspects of material deprivation. Restricting the analysis in the metropolitan areas of the island resulted in a different set of indicators for the urban-specific deprivation index. All developed indices were linearly associated with all-cause premature adult mortality. The all-cause premature adult mortality increased by 17% per 1 standard deviation (SD) increase in rural-related socioeconomic deprivation (95% CrI: 8–27%) and 8% per 1 SD increase in urban-related aspects of material deprivation (95% CrI: 3–15%) in the nationwide analysis and 9% per 1 SD increase in urban-specific socioeconomic deprivation (95% CrI: 4–15%) across metropolitan areas. Conclusions The results of this study demonstrate that a set of small-area indices of socioeconomic deprivation across Cypriot communities have good construct and predictive validity. However, the study indicates that different aspects of socioeconomic deprivation may be important in rural and urban areas in Cyprus. The developed socioeconomic deprivation indices could offer a valid new tool for Cypriot public health research and policy in terms of identifying areas in greatest need, guiding resource allocation and developing area-targeted public health programmes and policies.http://link.springer.com/article/10.1186/s12889-019-6973-0Socioeconomic deprivation indexSocial inequalities in healthMortalitySmall-area analysisPrincipal component analysisPoisson spatial model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Demetris Lamnisos Galatia Lambrianidou Nicos Middleton |
spellingShingle |
Demetris Lamnisos Galatia Lambrianidou Nicos Middleton Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality BMC Public Health Socioeconomic deprivation index Social inequalities in health Mortality Small-area analysis Principal component analysis Poisson spatial model |
author_facet |
Demetris Lamnisos Galatia Lambrianidou Nicos Middleton |
author_sort |
Demetris Lamnisos |
title |
Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality |
title_short |
Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality |
title_full |
Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality |
title_fullStr |
Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality |
title_full_unstemmed |
Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality |
title_sort |
small-area socioeconomic deprivation indices in cyprus: development and association with premature mortality |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2019-05-01 |
description |
Abstract Background Area-level measures of socioeconomic deprivation are important for understanding and describing health inequalities. The aim of this study was the development and validation of a small-area index of socioeconomic deprivation for Cypriot communities and the investigation of its association with the spatial distribution of all-cause premature adult mortality. Methods Six area-level socioeconomic indicators were used from the 2011 national population census (low educational attainment, unemployment, not owner occupied household, single-person household, divorced or widowed and single-parent households). After normalization and standardization of the geographically smoothed indicators, Principal Component Analysis (PCA) was used to construct indicator weights. The association between deprivation indices and the spatial distribution of all-cause premature adult mortality was estimated in Poisson log-linear spatial models. Results PCA resulted in two principal components explaining the 65.7% of the total variance. The first principal component included four indicators (low educational attainment, single-person households, divorced or widowed and single-parent households, the latter however with a negative loading) and it thought more likely to capture rural-related aspects of deprivation. The second principal component included the other two indicators (unemployment and not owner occupied households) and it is more likely to capture urban-related aspects of material deprivation. Restricting the analysis in the metropolitan areas of the island resulted in a different set of indicators for the urban-specific deprivation index. All developed indices were linearly associated with all-cause premature adult mortality. The all-cause premature adult mortality increased by 17% per 1 standard deviation (SD) increase in rural-related socioeconomic deprivation (95% CrI: 8–27%) and 8% per 1 SD increase in urban-related aspects of material deprivation (95% CrI: 3–15%) in the nationwide analysis and 9% per 1 SD increase in urban-specific socioeconomic deprivation (95% CrI: 4–15%) across metropolitan areas. Conclusions The results of this study demonstrate that a set of small-area indices of socioeconomic deprivation across Cypriot communities have good construct and predictive validity. However, the study indicates that different aspects of socioeconomic deprivation may be important in rural and urban areas in Cyprus. The developed socioeconomic deprivation indices could offer a valid new tool for Cypriot public health research and policy in terms of identifying areas in greatest need, guiding resource allocation and developing area-targeted public health programmes and policies. |
topic |
Socioeconomic deprivation index Social inequalities in health Mortality Small-area analysis Principal component analysis Poisson spatial model |
url |
http://link.springer.com/article/10.1186/s12889-019-6973-0 |
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