German Index of Socioeconomic Deprivation (GISD): Revision, update and applications.
GISD
HEALTH INEQUALITY
INKAR
REGIONAL INEQUALITY
SOCIAL DEPRIVATION
Journal
Journal of health monitoring
ISSN: 2511-2708
Titre abrégé: J Health Monit
Pays: Germany
ID NLM: 101757730
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
14
07
2022
accepted:
12
08
2022
entrez:
11
1
2023
pubmed:
12
1
2023
medline:
12
1
2023
Statut:
epublish
Résumé
Regional deprivation indices enable researchers to analyse associations between socioeconomic disadvantages and health outcomes even if the health data of interest does not include information on the individuals' socioeconomic position. This article introduces the recent revision of the German Index of Socioeconomic Deprivation (GISD) and presents associations with life expectancy as well as age-standardised cardiovascular mortality rates and cancer incidences as applications. The GISD measures the level of socioeconomic deprivation using administrative data of education, employment, and income situations at the district and municipality level from the INKAR database. The indicators are weighted via principal component analyses. The regional distribution is depicted cartographically, regional level associations with health outcomes are presented. The principal component analysis indicates medium to high correlations of the indicators with the index subdimensions. Correlation analyses show that in districts with the lowest deprivation, the average life expectancy of men is approximately six years longer (up to three years longer for women) than for those from districts with the highest deprivation. A similar social gradient is observed for cardiovascular mortality and lung cancer incidence. The GISD provides a valuable tool to analyse socioeconomic inequalities in health conditions, diseases, and their determinants at the regional level.
Sections du résumé
Background
UNASSIGNED
Regional deprivation indices enable researchers to analyse associations between socioeconomic disadvantages and health outcomes even if the health data of interest does not include information on the individuals' socioeconomic position. This article introduces the recent revision of the German Index of Socioeconomic Deprivation (GISD) and presents associations with life expectancy as well as age-standardised cardiovascular mortality rates and cancer incidences as applications.
Methods
UNASSIGNED
The GISD measures the level of socioeconomic deprivation using administrative data of education, employment, and income situations at the district and municipality level from the INKAR database. The indicators are weighted via principal component analyses. The regional distribution is depicted cartographically, regional level associations with health outcomes are presented.
Results
UNASSIGNED
The principal component analysis indicates medium to high correlations of the indicators with the index subdimensions. Correlation analyses show that in districts with the lowest deprivation, the average life expectancy of men is approximately six years longer (up to three years longer for women) than for those from districts with the highest deprivation. A similar social gradient is observed for cardiovascular mortality and lung cancer incidence.
Conclusions
UNASSIGNED
The GISD provides a valuable tool to analyse socioeconomic inequalities in health conditions, diseases, and their determinants at the regional level.
Identifiants
pubmed: 36628258
doi: 10.25646/10641
pmc: PMC9768633
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2-23Informations de copyright
© Robert Koch Institute. All rights reserved unless explicitly granted.
Déclaration de conflit d'intérêts
Conflict of interest The authors report the following conflict(s) of interest: Fabian Tetzlaff is financed from project funds from the Stiftung Deutsche Krebshilfe, project: ‘Regionale sozioökonomische Ungleichheit im Krebsgeschehen in Deutschland’ (regional socioeconomic inequity in cancer in Germany). Lars Eric Kroll leads the Department of Data Science and Systems Analysis at the Central Research Institute of Ambulatory Health Care in Germany, the Associations of Statutory Health Insurance Physicians and the National Association of Statutory Health Insurance Physicians sponsor the foundation.
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