Literature DB >> 23811967

Individual- and area-level effects on mortality risk in Germany, both East and West, among male Germans aged 65+.

Eva U B Kibele1.   

Abstract

OBJECTIVES: This study investigates whether mortality inequalities based on individual- and area-level deprivation exist at older ages in Germany, and whether there are differences between eastern and western Germany.
METHODS: Data on population and death counts according to the individual-level socioeconomic status of male German pensioners aged 65+ years in Germany in 2002-2004 were obtained from the German Federal Pension Fund. Area-level characteristics for the 439 German districts were incorporated. Multilevel Poisson models were fitted.
RESULTS: Individual-level socioeconomic mortality inequalities exist among elderly men in Germany. After controlling for differential population composition in the districts, we found that district-level factors contribute to the explanation of mortality inequalities in (western) Germany. The analysis further indicated that mortality and mortality inequalities tend to be higher in more economically deprived districts, and that minor mortality differences attributable to regional conditions exist in eastern Germany.
CONCLUSIONS: The results showed that regional conditions have moderate effects on health inequalities at older ages in (western) Germany, when the differential population composition in the districts is controlled for.

Entities:  

Mesh:

Year:  2013        PMID: 23811967     DOI: 10.1007/s00038-013-0480-3

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


  31 in total

Review 1.  Do neighborhoods affect individual mortality? A systematic review and meta-analysis of multilevel studies.

Authors:  Mathias Meijer; Jeannette Röhl; Kim Bloomfield; Ulrike Grittner
Journal:  Soc Sci Med       Date:  2012-01-28       Impact factor: 4.634

2.  How relevant are district characteristics in explaining subjective health in Germany? A multilevel analysis.

Authors:  Katharina Diehl; Sven Schneider
Journal:  Soc Sci Med       Date:  2011-03-03       Impact factor: 4.634

3.  Assessment of the magnitude of geographical variations and socioeconomic contextual effects on ischaemic heart disease mortality: a multilevel survival analysis of a large Swedish cohort.

Authors:  Basile Chaix; Maria Rosvall; Juan Merlo
Journal:  J Epidemiol Community Health       Date:  2007-04       Impact factor: 3.710

Review 4.  Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000.

Authors:  Gavin Turrell; Anne Kavanagh; Glenn Draper; S V Subramanian
Journal:  J Epidemiol Community Health       Date:  2007-01       Impact factor: 3.710

5.  Changing mortality patterns in East and West Germany and Poland. II: short-term trends during transition and in the 1990s.

Authors:  E Nolte; V Shkolnikov; M McKee
Journal:  J Epidemiol Community Health       Date:  2000-12       Impact factor: 3.710

6.  Effects of the characteristics of neighbourhoods and the characteristics of people on cause specific mortality: a register based follow up study of 252,000 men.

Authors:  P Martikainen; T M Kauppinen; T Valkonen
Journal:  J Epidemiol Community Health       Date:  2003-03       Impact factor: 3.710

7.  The impact of regional and neighbourhood deprivation on physical health in Germany: a multilevel study.

Authors:  Sven Voigtländer; Ursula Berger; Oliver Razum
Journal:  BMC Public Health       Date:  2010-07-08       Impact factor: 3.295

8.  Understanding and representing 'place' in health research: a relational approach.

Authors:  Steven Cummins; Sarah Curtis; Ana V Diez-Roux; Sally Macintyre
Journal:  Soc Sci Med       Date:  2007-08-13       Impact factor: 4.634

9.  Health-related behavior as a mechanism behind the relationship between neighborhood social capital and individual health--a multilevel analysis.

Authors:  Sigrid M Mohnen; Beate Völker; Henk Flap; Peter P Groenewegen
Journal:  BMC Public Health       Date:  2012-02-10       Impact factor: 3.295

10.  Neighbourhood socioeconomic status and cardiovascular risk factors: a multilevel analysis of nine cities in the Czech Republic and Germany.

Authors:  Nico Dragano; Martin Bobak; Natalia Wege; Anne Peasey; Pablo E Verde; Ruzena Kubinova; Simone Weyers; Susanne Moebus; Stefan Möhlenkamp; Andreas Stang; Raimund Erbel; Karl-Heinz Jöckel; Johannes Siegrist; Hynek Pikhart
Journal:  BMC Public Health       Date:  2007-09-21       Impact factor: 3.295

View more
  6 in total

1.  Enduring inequality: educational disparities in health among the oldest old in Sweden 1992-2011.

Authors:  Stefan Fors; Mats Thorslund
Journal:  Int J Public Health       Date:  2014-11-15       Impact factor: 3.380

2.  Explaining health inequalities: the role of space and time.

Authors:  Oliver Razum; Sven Voigtländer; Ursula Berger
Journal:  Int J Public Health       Date:  2014-04-01       Impact factor: 3.380

3.  Low mortality in the poorest areas of Spain: adults residing in provinces with lower per capita income have the lowest mortality.

Authors:  Enrique Regidor; Fernando Vallejo; Carolina Giráldez-García; Paloma Ortega; Juana M Santos; Paloma Astasio; Luis de la Fuente
Journal:  Eur J Epidemiol       Date:  2015-03-15       Impact factor: 8.082

4.  Expansion or compression of long-term care in Germany between 2001 and 2009? A small-area decomposition study based on administrative health data.

Authors:  Daniel Kreft; Gabriele Doblhammer
Journal:  Popul Health Metr       Date:  2016-07-13

5.  Regional Mortality Disparities in Germany: Long-Term Dynamics and Possible Determinants.

Authors:  Eva U B Kibele; Sebastian Klüsener; Rembrandt D Scholz
Journal:  Kolner Z Soz Sozpsychol       Date:  2015

6.  A comparison of the Scottish Index of Multiple Deprivation (SIMD) 2004 with the 2009 + 1 SIMD: does choice of measure affect the interpretation of inequality in mortality?

Authors:  Kevin Ralston; Ruth Dundas; Alastair H Leyland
Journal:  Int J Health Geogr       Date:  2014-07-08       Impact factor: 3.918

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.