Relevant bibliographies by topics / European Deprivation Index

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Academic literature on the topic 'European Deprivation Index'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "European Deprivation Index"

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Ribeiro, Ana Isabel, Alexandra Mayer, Ana Miranda, and Maria de Fátima De Pina. "The Portuguese Version of the European Deprivation Index: An Instrument to Study Health Inequalities." Acta Médica Portuguesa 30, no. 1 (January 31, 2017): 17. http://dx.doi.org/10.20344/amp.7387.

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Introduction: Tackling socioeconomic health inequalities is a big public health challenge and ecological deprivation indexes are essential instruments to monitor and understand them. In Portugal, no standard ecological deprivation index exists, contrasting with other countries. We aimed to describe the construction of the Portuguese version of a transnational deprivation index, European Deprivation Index.Material and Methods: The European Deprivation Index was developed under the Townsend theorization of deprivation. Using data from the European Union - Statistics on Income and Living Conditions Survey, we obtained an indicator of individual deprivation. This indicator became the gold-standard variable, based on what we selected the variables at aggregate level (census) to be included in the European Deprivation Index, a total of eight. The European Deprivation Index was produced for the smallest area unit possible (n = 16 094, mean/area = 643 inhabitants) and resulted from the weighted sum of the previous variables. It was then classified into quintiles.Results: The first quintile (least deprived) comprised 20.9% national population and the fifth quintile (most deprived) 18.0%. The European Deprivation Index showed a clear geographic pattern – most deprived areas concentrated in the South and in the inner North and Centre of the country, and the least deprived areas in the coastal areas of North and Centre and in the Algarve.Discussion: The development of the European Deprivation Index was grounded on a solid theoretical framework, individual and aggregate variables, and on a longitudinal Europe-wide survey allowing its replication over the time and in any European country.Conclusion: Hopefully, the European Deprivation Index will start being employed by those interested in better understand health inequalities not only in Portugal but across Europe.
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Zadnik, Vesna, Elodie Guillaume, Katarina Lokar, Tina Žagar, Maja Primic Žakelj, Guy Launoy, and Ludivine Launay. "Slovenian version of the european deprivation index at municipal level." Slovenian Journal of Public Health 57, no. 2 (April 12, 2018): 47–54. http://dx.doi.org/10.2478/sjph-2018-0007.

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Abstract Introduction Ecological deprivation indices belong to essential instruments for monitoring and understanding health inequalities. Our aim was to develop the SI-EDI, a newly derived European Deprivation Index for Slovenia. We intend to provide researchers and policy-makers in our country with a relevant tool for measuring and reducing the socioeconomic inequalities in health, and even at a broader level. Methods Data from the European survey on Income and Living Conditions and Slovenian national census for the year 2011 were used in the SI-EDI construction. The concept of relative deprivation was used where deprivation refers to unmet need(s), which is caused by lack of all kinds of resources, not only material. The SI-EDI was constructed for 210 Slovenian municipalities. Its geographical distribution was compared to the distribution of two existing deprivation scores previously applied in health inequality research in Slovenia. Results There were 36% of adults recognized as deprived in Slovenia in 2011. SI-EDI was calculated using 10 census variables that were associated with individual deprivation. A clear east-to-west gradient was detected with the most deprived municipalities in the eastern part of the country. The two existing deprivation scores correlate significantly with the SI-EDI. Conclusions A new deprivation index, the SI-EDI, is grounded on the internationally established scientific concept, can be replicated over time and, crucially, provides an account of the socioeconomic and cultural particularities of the Slovenian population. The SI-EDI could be used by the stakeholders and the governmental and nongovernmental sectors in Slovenia, with the goal of better understanding health inequalities in Slovenia.
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Vercelli, Marina, Roberto Lillini, Fabrizio Stracci, Valerio Brunori, Alessio Gili, Fortunato Bianconi, Francesco La Rosa, Alberto Izzotti, Elodie Guillaume, and Guy Launoy. "Cancer Mortality and Deprivation: Comparison Among the Performances of the European Deprivation Index, the Italian Deprivation Index and Local Socio-Health Deprivation Indices." Social Indicators Research 151, no. 2 (June 5, 2020): 599–620. http://dx.doi.org/10.1007/s11205-020-02396-7.

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Rabanal, Kjersti Stormark, Haakon Eduard Meyer, Romana Pylypchuk, Suneela Mehta, Randi Marie Selmer, and Rodney T. Jackson. "Performance of a Framingham cardiovascular risk model among Indians and Europeans in New Zealand and the role of body mass index and social deprivation." Open Heart 5, no. 2 (July 2018): e000821. http://dx.doi.org/10.1136/openhrt-2018-000821.

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ObjectivesTo evaluate a Framingham 5-year cardiovascular disease (CVD) risk score in Indians and Europeans in New Zealand, and determine whether body mass index (BMI) and socioeconomic deprivation were independent predictors of CVD risk.MethodsWe included Indians and Europeans, aged 30–74 years without prior CVD undergoing risk assessment in New Zealand primary care during 2002–2015 (n=256 446). Risk profiles included standard Framingham predictors (age, sex, systolic blood pressure, total cholesterol/high-density lipoprotein ratio, smoking and diabetes) and were linked with national CVD hospitalisations and mortality datasets. Discrimination was measured by the area under the receiver operating characteristics curve (AUC) and calibration examined graphically. We used Cox regression to study the impact of BMI and deprivation on the risk of CVD with and without adjustment for the Framingham score.ResultsDuring follow-up, 8105 and 1156 CVD events occurred in Europeans and Indians, respectively. Higher AUCs of 0.76 were found in Indian men (95% CI 0.74 to 0.78) and women (95% CI 0.73 to 0.78) compared with 0.74 (95% CI 0.73 to 0.74) in European men and 0.72 (95% CI 0.71 to 0.73) in European women. Framingham was best calibrated in Indian men, and overestimated risk in Indian women and in Europeans. BMI and deprivation were positively associated with CVD, also after adjustment for the Framingham risk score, although the BMI association was attenuated.ConclusionsThe Framingham risk model performed reasonably well in Indian men, but overestimated risk in Indian women and in Europeans. BMI and socioeconomic deprivation could be useful predictors in addition to a Framingham score.
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Guillaume, Elodie, Carole Pornet, Olivier Dejardin, Ludivine Launay, Roberto Lillini, Marina Vercelli, Marc Marí-Dell'Olmo, et al. "Development of a cross-cultural deprivation index in five European countries." Journal of Epidemiology and Community Health 70, no. 5 (December 11, 2015): 493–99. http://dx.doi.org/10.1136/jech-2015-205729.

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García-Germán, Sol, Isabel Bardají, and Alberto Garrido. "Do increasing prices affect food deprivation in the European Union?" Spanish Journal of Agricultural Research 16, no. 1 (April 26, 2018): e0103. http://dx.doi.org/10.5424/sjar/2018161-11254.

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The rise of prices of agricultural commodities in global markets during 2007-2012 was followed by increased consumer food prices around the world. More expensive food may have an impact on consumer food access and thus on their welfare, not only in developing countries but also amongst the most vulnerable in developed countries. Using a longitudinal database from the Statistics on Income and Living Conditions and population-averaged models, we tested whether increasing food prices had an impact on household food deprivation in 26 European Union (EU) member states. Results revealed a significant relationship between food deprivation and the consumer food price index and disposable income. Households in the lowest income quintile in the member states recently acceded to the EU were the most vulnerable to food deprivation. Results also showed that low-income households in densely populated areas were more vulnerable to food deprivation. This should be taken into account when evaluating food assistance programmes that focus on the segments of the population most at risk of food deprivation.
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Pornet, Carole, Cyrille Delpierre, Olivier Dejardin, Pascale Grosclaude, Ludivine Launay, Lydia Guittet, Thierry Lang, and Guy Launoy. "Construction of an adaptable European transnational ecological deprivation index: the French version." Journal of Epidemiology and Community Health 66, no. 11 (April 27, 2012): 982–89. http://dx.doi.org/10.1136/jech-2011-200311.

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Luben, Robert, Shabina Hayat, Anthony Khawaja, Nicholas Wareham, Paul P. Pharoah, and Kay-Tee Khaw. "Residential area deprivation and risk of subsequent hospital admission in a British population: the EPIC-Norfolk cohort." BMJ Open 9, no. 12 (December 2019): e031251. http://dx.doi.org/10.1136/bmjopen-2019-031251.

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ObjectivesTo investigate whether residential area deprivation index predicts subsequent admissions to hospital and time spent in hospital independently of individual social class and lifestyle factors.DesignProspective population-based study.SettingThe European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) study.Participants11 214 men and 13 763 women in the general population, aged 40–79 years at recruitment (1993–1997), alive in 1999.Main outcome measureTotal admissions to hospital and time spent in hospital during a 19-year time period (1999–2018).ResultsCompared to those with residential Townsend Area Deprivation Index lower than the average for England and Wales, those with a higher than average deprivation index had a higher likelihood of spending >20 days in hospital multivariable adjusted OR 1.18 (95% CI 1.07 to 1.29) and having 7 or more admissions OR 1.11 (95% CI 1.02 to 1.22) after adjustment for age, sex, smoking status, education, social class and body mass index. Occupational social class and educational attainment modified the association between area deprivation and hospitalisation; those with manual social class and lower education level were at greater risk of hospitalisation when living in an area with higher deprivation index (p-interaction=0.025 and 0.020, respectively), while the risk for non-manual and more highly educated participants did not vary greatly by area of residence.ConclusionResidential area deprivation predicts future hospitalisations, time spent in hospital and number of admissions, independently of individual social class and education level and other behavioural factors. There are significant interactions such that residential area deprivation has greater impact in those with low education level or manual social class. Conversely, higher education level and social class mitigated the association of area deprivation with hospital usage.
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Châtelet, Valérie, Sahar Bayat-Makoei, Cécile Vigneau, Guy Launoy, and Thierry Lobbedez. "Renal transplantation outcome and social deprivation in the French healthcare system: a cohort study using the European Deprivation Index." Transplant International 31, no. 10 (April 16, 2018): 1089–98. http://dx.doi.org/10.1111/tri.13161.

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Ribeiro, Ana Isabel, Ludivine Launay, Elodie Guillaume, Guy Launoy, and Henrique Barros. "The Portuguese version of the European Deprivation Index: Development and association with all-cause mortality." PLOS ONE 13, no. 12 (December 5, 2018): e0208320. http://dx.doi.org/10.1371/journal.pone.0208320.

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Dissertations / Theses on the topic "European Deprivation Index"

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Pouliquen, Valérie. "Inégalités sociales de santé en transplantation rénale. Renal transplantation outcome and social deprivation in the French healthcare system: a cohort study using the European Deprivation Index Transplant center characteristics associated with living-donor kidney transplantation: a cohort study with a hierarchical modeling approach Is self-care dialysis associated with social deprivation in a universal health care system? A cohort study with the data from the Renal Epidemiology and Information Network Registry." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC423.

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La réduction des inégalités sociales de santé (ISS) est un axe majeur des politiques de santé publiques qui définissent le système de santé d’un pays. L’European Deprivation Index (EDI) est un indice écologique européen, reflétant au mieux l’expérience individuelle de défavorisation sociale, qui permet de réaliser des comparaisons entre régions et pays européens.Ce travail s’est intéressé à l’étude des ISS, estimées par l’EDI, dans le domaine de la néphrologie. A l’aide de l’EDI, nos études ont montré que 32 % des patients transplantés rénaux résidaient dans les zones les plus défavorisées et que leur risque de décès était plus élevé comparativement aux sujets les moins défavorisés.En France, il existe des disparités d’accès à la greffe rénale avec donneur vivant en fonction des centres de greffe. Le sexe féminin et la défavorisation sociale estimée par l’EDI sont associés à une plus faible probabilité de greffe avec donneur vivant. Le nombre de néphrologues et de coordinateurs de greffe par centre ainsi que la réalisation de greffe ABO incompatibles sont des facteurs qui influencent la proportion de greffes avec donneur vivant.Les ISS sont associées à la dialyse autonome en France. Il existe à nouveau une surreprésentation, comparativement à la population générale, de la défavorisation sociale dans la population incidente en dialyse.Les ISS en néphrologie pourraient être réduites par des interventions précoces dans le parcours du patient insuffisant rénal. Il est nécessaire d’élaborer des interventions novatrices individuelles mais aussi au sein des centres de dialyse et de greffe rénale afin d’améliorer l’autonomie du patient et l’accès à la greffe rénale
Reducing social inequalities in health is an important objective internationally. An European transnational index, European Deprivation Index (EDI), estimates the individual experience of social deprivation and allows comparison between regions and countries.This work focuses on the social deprivation estimated by EDI in nephrology. Using EDI, our studies showed that 32% of transplanted patients lived in the most deprived areas. Social deprivation was associated with the increased risk of death in renal transplanted patients.In France, there was heterogeneity between transplant centers regarding living-donor kidney transplantation. Gender and social deprivation estimated by EDI were associated with lower likelihood of LDKT. Number of senior nephrologists or coordinators and the existence of ABO incompatible program could influence the use of LDKT.In France, social deprivation estimated by the EDI is associated with self-care dialysis in end-stage renal disease (ESRD) patients undergoing replacement therapy. Compared with the general population, ESRD patients treated by dialysis experienced a high level of social deprivation.Social inequalities in nephrology could be reduced by early interventions during healthcare pathway. New approaches targeted ESRD patients should be explored at the dialysis or transplantation centers levels
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Pornet, Carole. "Influence de l'environnement socioéconomique et de l'offre de soins sur la participation aux dépistages organisés des cancers du sein et du colon-rectum à l'aide d’un nouvel outil : the european deprivation index." Caen, 2013. http://www.theses.fr/2013CAEN3167.

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Afin de réduire les inégalités sociales de santé, le Haut Conseil de Santé Publique préconise de les mesurer précisément, les comparer entre différentes régions ou pays, et de suivre leur évolution temporelle. Les mécanismes à l’origine des inégalités sociales de participation aux dépistages organisés des cancers du sein et colorectal sont méconnus. L’objectif était d’analyser l’influence écologique du statut socioéconomique et de l’offre de soins sur la participation aux dépistages organisés de ces cancers à l’aide d’un indice écologique de défavorisation, l’EDI. Ce travail présente la construction de cet indice à vocation européenne, constitué de variables censitaires reflétant au mieux l’expérience individuelle de défavorisation relative. L’étude sur la comparaison de 8 indices quant à leur appréciation de la défavorisation à l’échelle individuelle, a montré que les performances d’EDI étaient similaires à celles des indices britanniques. A l’aide de l’EDI, nos études ont montré que dans les zones les plus défavorisées, la participation au dépistage des cancers du sein et colorectal était réduite, respectivement de 13% et 25% par rapport aux zones les plus favorisées. Aucune influence de l’offre de soins mesurée par la présence ou non de médecins généralistes ou de radiologues agréés n’a été retrouvée. Les inégalités sociales de dépistage pourraient être réduites par des interventions combinant des approches individuelles et géographiques ciblées sur les populations à risque de faible participation identifiées socialement, en insistant sur la supériorité du dépistage organisé sur le dépistage individuel et en prônant l’implication des médecins généralistes
To reduce social inequalities in health, the High Council of Public Health recommends measure precisely compare between different regions or countries, and track changes over time. The mechanisms underlying social inequalities in participation in organized screening for breast and colorectal cancer are unknown. The objective was to analyze the environmental impact of socioeconomic status and healthcare supply on participation in organized screening for these cancers with an ecological deprivation index, the French version of EDI. This work presents the construction of this adaptable European transnational index. EDI is composed of census variables that best reflect the individual experience of relative deprivation. The study on the comparison of eight indices as to their assessment of deprivation at the individual level, showed that the performance of EDI were similar to those of the British indices. Using EDI, our studies have shown that in the most deprived areas, participation in screening for breast and colorectal cancer was reduced by 13% and 25% compared to the least deprived areas. No influence of the healthcare supply as measured by the presence or absence of general practitioners or certified radiologists were found. Social inequalities in screening could be reduced by combining individual interventions and geographical approaches targeted at populations at risk of low participation socially identified, emphasizing the superiority of organized screening on individual testing and advocating the involvement of general practitioners
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Book chapters on the topic "European Deprivation Index"

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Launoy, Guy, Ludivine Launay, Joséphine Bryère, Olivier Dejardin, and Elodie Guillaume. "The European Deprivation Index: A Tool to Help Build an Evidence-Based Cancer Policy for Europe." In Social Environment and Cancer in Europe, 13–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69329-9_3.

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Sumil-Laanemaa, Merle, Luule Sakkeus, Allan Puur, and Lauri Leppik. "Socio-demographic Risk Factors Related to Material Deprivation Among Older Persons in Europe: A Comparative Analysis Based on SHARE Data." In International Perspectives on Aging, 31–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51406-8_3.

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AbstractMaterial deprivation is a key aspect of social exclusion, and the domain of economic exclusion, for the older population. In this chapter we utilised cross-sectional data from Wave 5 (2013) of the Survey of Health and Retirement in Europe (SHARE) and logistic regression analysis to assess the variation in material deprivation of the population aged 50+ across four geographic clusters of welfare regimes in Europe. We used the SHARE-based Material Deprivation Index (MDI) to assess the associations between material deprivation and socio-demographic factors (age, gender, education, economic activity status, household type, number of children, residential area, chronic diseases and limitations of daily activities, and origin). We observed a pronounced variation in material deprivation among the older population across welfare clusters, with high levels of MDI in the Eastern and Southern clusters. Living alone, having a large number of children, low education, activity limitations, and being of immigrant origin significantly increase the risk of material deprivation in older age in all clusters. The study also identified subgroups of older persons that have an increased risk of material deprivation in some but not all clusters, such as those aged 80+ and rural residents in the Southern and Eastern clusters.
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"5. Development and validation of a material deprivation index." In Ageing in Europe - Supporting Policies for an Inclusive Society, 57–66. De Gruyter, 2015. http://dx.doi.org/10.1515/9783110444414-007.

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