<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Herman Van Oyen</style></author><author><style face="normal" font="default" size="100%">Nathalie Bossuyt</style></author><author><style face="normal" font="default" size="100%">Deboosere, Patrick</style></author><author><style face="normal" font="default" size="100%">Gadeyne, Sylvie</style></author><author><style face="normal" font="default" size="100%">Abatih, Emmanuel</style></author><author><style face="normal" font="default" size="100%">Stefaan Demarest</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Differential inequity in health expectancy by region in Belgium.</style></title><secondary-title><style face="normal" font="default" size="100%">Soz Praventivmed</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Soz Praventivmed</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Belgium</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Educational Status</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health status</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Life expectancy</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">middle aged</style></keyword><keyword><style  face="normal" font="default" size="100%">sex factors</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">50</style></volume><pages><style face="normal" font="default" size="100%">301-10</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;OBJECTIVES: &lt;/b&gt;To evaluate the size of social inequities in health between regions in Belgium using a composite health measure, the disability free life expectancy (DFLE).&lt;/p&gt;&lt;p&gt;&lt;b&gt;METHODS: &lt;/b&gt;Mortality data (5-years follow-up of the 1991 census) are combined with the 1997 Health Interview Survey to estimate the DFLE by education. Differences in partial life expectancy25-74 (LE25-74) and in DFLE25-74 between those at the bottom and those at the top of a relative social scale are used to compare the regional inequities.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;The higher educated person has a longer LE, with more years free of disability and less years with disability (in years: Flemish males: LE = 46.48; DFLE = 42.08; Walloon males: LE = 44.92; DFLE = 39.80; Flemish females: LE = 47.90; DFLE = 41.93; Walloon females: LE = 46.90; DFLE = 39.84) compared to the population at the bottom of the education hierarchy (in years: Flemish males: LE = 44.86; DFLE = 30.16; Walloon males: LE = 42.77; DFLE = 27.00; Flemish females: LE = 46.86; DFLE = 28.30; Walloon females: LE = 45.44; DFLE = 25.30). The inequity in LE and in DFLE is larger in the Walloon Region than in the Flemish Region. Only the regional difference in inequity in LE is statistically significant.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSION: &lt;/b&gt;The DFLE can be used to monitor the size of health inequities.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/16300174?dopt=Abstract</style></custom1></record></records></xml>