Analysis of Mortality in the Czech Republic Using the Newly Constructed Socioeconomic Deprivation Index

Šlachtová, Hana; Tomášková, Hana; Polaufova, P

doi:10.1097/01.ede.0000276469.05896.8d

Cited by 2 publications

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“…We applied a modified population density variable according to the OECD’s international terminology [ 62 ] (hereafter termed OECD criterion) which defines a level of urbanization by percentage of inhabitants living in municipalities with population density less than 150 inhabitants per 1 km 2 . An index of socioeconomic status ( SES ) for each district was calculated as a sum of z -scores for 3 factors of social deprivation related to elevated mortality in the Czech Republic [ 63 ]. Percentages of unemployed population ( % unemployed ), people without secondary school diploma ( % low education ), and single-person households ( % singles ) were included into the index.…”

Section: Methodsmentioning

confidence: 99%

Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic

Urban

Burkart

Kyselý

et al. 2016

IJERPH

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The study examines spatial patterns of effects of high temperature extremes on cardiovascular mortality in the Czech Republic at a district level during 1994–2009. Daily baseline mortality for each district was determined using a single location-stratified generalized additive model. Mean relative deviations of mortality from the baseline were calculated on days exceeding the 90th percentile of mean daily temperature in summer, and they were correlated with selected demographic, socioeconomic, and physical-environmental variables for the districts. Groups of districts with similar characteristics were identified according to socioeconomic status and urbanization level in order to provide a more general picture than possible on the district level. We evaluated lagged patterns of excess mortality after hot spell occurrences in: (i) urban areas vs. predominantly rural areas; and (ii) regions with different overall socioeconomic level. Our findings suggest that climatic conditions, altitude, and urbanization generally affect the spatial distribution of districts with the highest excess cardiovascular mortality, while socioeconomic status did not show a significant effect in the analysis across the Czech Republic as a whole. Only within deprived populations, socioeconomic status played a relevant role as well. After taking into account lagged effects of temperature on excess mortality, we found that the effect of hot spells was significant in highly urbanized regions, while most excess deaths in rural districts may be attributed to harvesting effects.

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Section: Methodsmentioning

confidence: 99%

Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic

Urban

Burkart

Kyselý

et al. 2016

IJERPH

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“…The indices according to class “type of deprivation” are grouped as follows: Socio-economic (contains indicators of domains from sub-classes “social” and “material”) [ 26 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 ]; Material (contains indicators of domains from sub-class “material”) [ 25 , 99 , 100 , 101 ], Environmental deprivation indices (contains only indicators of domains from sub-class “environmental”) [ 102 , 103 , …”

Section: Resultsmentioning

confidence: 99%

“…Socio-economic (contains indicators of domains from sub-classes “social” and “material”) [ 26 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 ];…”

Section: Resultsmentioning

confidence: 99%

“…Table S1: Main characteristics of deprivation indices; Table S2: Indicators of deprivation measures. References [ 25 , 26 , 32 , 34 , 52 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , ...…”

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Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review

Zelenina

Шальнова

Maksimov

et al. 2022

IJERPH

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Introduction: Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. Methods: In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. Results: In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. Conclusions: The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.

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Analysis of Mortality in the Czech Republic Using the Newly Constructed Socioeconomic Deprivation Index

Cited by 2 publications

References 0 publications

Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic

Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic

Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review

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