Literature DB >> 26945094

The arithmetic of reducing relative and absolute inequalities in health: a theoretical analysis illustrated with European mortality data.

Johan P Mackenbach1, Pekka Martikainen2, Gwenn Menvielle3, Rianne de Gelder1.   

Abstract

BACKGROUND: Reducing inequalities in health is a great challenge for public health, but how relative and absolute inequalities in mortality respond to changes in mortality by socioeconomic group is not well understood.
METHODS: We derived arithmetically what combinations of changes and starting levels of mortality by socioeconomic group produce narrowing, and what combinations produce widening of relative and absolute inequalities in mortality. We then determined empirically how often these scenarios actually occur with data on inequalities in cause-specific mortality in five European countries spanning four decades (1970-2010).
RESULTS: Changes in the rate ratio depend exclusively on the ratio of relative mortality change between socioeconomic groups, whereas changes in the rate difference depend on whether the ratio of relative mortality change between socioeconomic groups is larger or smaller than the rate ratio. This implies that, in case of declining mortality and faster relative mortality decline in higher socioeconomic groups, the rate difference will increase until the rate ratio becomes equal to the ratio of relative mortality decline, but will then start to decline. In the most common scenario in our data set (starting rate ratio above 1.00 and faster relative mortality decline in higher than lower socioeconomic groups), the rate ratio indeed always goes up but the rate difference goes down in about half of all cases, sometimes after a period of growth.
CONCLUSIONS: A narrowing of absolute inequalities occurs under a wider range of conditions than a narrowing of relative inequalities in mortality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Keywords:  Epidemiological methods; Health inequalities; MEASUREMENT; MORTALITY

Mesh:

Year:  2016        PMID: 26945094     DOI: 10.1136/jech-2015-207018

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  16 in total

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3.  Changing educational inequalities in sporting inactivity among adults in Germany: a trend study from 2003 to 2012.

Authors:  Jens Hoebel; Jonas D Finger; Benjamin Kuntz; Lars E Kroll; Kristin Manz; Cornelia Lange; Thomas Lampert
Journal:  BMC Public Health       Date:  2017-06-06       Impact factor: 3.295

4.  The Magnitude of Occupational Class Differences in Sickness Absence: 15-Year Trends among Young and Middle-Aged Municipal Employees.

Authors:  Hilla Sumanen; Eero Lahelma; Olli Pietiläinen; Ossi Rahkonen
Journal:  Int J Environ Res Public Health       Date:  2017-06-09       Impact factor: 3.390

5.  Trends of relative and absolute socioeconomic equity in access to coronary revascularisations in 1995-2010 in Finland: a register study.

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Journal:  Int J Equity Health       Date:  2017-02-20

6.  Socioeconomic Inequalities in Body Mass Index across Adulthood: Coordinated Analyses of Individual Participant Data from Three British Birth Cohort Studies Initiated in 1946, 1958 and 1970.

Authors:  David Bann; William Johnson; Leah Li; Diana Kuh; Rebecca Hardy
Journal:  PLoS Med       Date:  2017-01-10       Impact factor: 11.069

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Journal:  MMWR Surveill Summ       Date:  2018-03-30

8.  Do socioeconomic inequalities in pain, psychological distress and oral health increase or decrease over the life course? Evidence from Sweden over 43 years of follow-up.

Authors:  Roger Keller Celeste; Johan Fritzell
Journal:  J Epidemiol Community Health       Date:  2017-11-24       Impact factor: 3.710

9.  Geographic health inequalities in Norway: a Gini analysis of cross-county differences in mortality from 1980 to 2014.

Authors:  Eirin K Skaftun; Stéphane Verguet; Ole F Norheim; Kjell A Johansson
Journal:  Int J Equity Health       Date:  2018-05-24

10.  Quantifying changes in global health inequality: the Gini and Slope Inequality Indices applied to the Global Burden of Disease data, 1990-2017.

Authors:  Fridolin Steinbeis; Dzintars Gotham; Peter von Philipsborn; Jan M Stratil
Journal:  BMJ Glob Health       Date:  2019-09-24
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