BACKGROUND: In Spain, studies on social inequalities in mortality based on individuals are few due to the poor quality of information on occupation in death certificates. This study looks at the differences in mortality according to educational level, using individual information obtained through the linkage between the Death Register and the Municipal Census, in the cities of Madrid and Barcelona, Spain. METHODS: The study populations were residents of Madrid and Barcelona aged >24 years, who died in 1993 and 1994. Indicators obtained for each city and educational level were: age- and sex-specific mortality rates, and life expectancy at 25 years. Poisson regression models were fitted to obtain the relative risk (RR) of death for each educational level with respect to the reference level (higher education completed), adjusted for age. RESULTS: The mortality rate was lower among individuals with higher educational levels, while life expectancy at 25 years was higher. In both cities men and women with no education showed the highest mortality in all age groups, with very high RR in the youngest age group (RR for men aged 25-34 years = 7.08 in Madrid and 6.02 in Barcelona, whereas in women these RR were 6.33 and 5.63 respectively). In Barcelona the greater part of the overall mortality difference for the group aged 25-34 years was due to AIDS (acquired deficiency syndrome, 33.4% in men and 59.3% in women). CONCLUSION: The present study has found higher mortality (mainly from AIDS) among individuals with no academic qualifications thus drawing attention to the need to implement policies aimed at reducing these inequalities.
BACKGROUND: In Spain, studies on social inequalities in mortality based on individuals are few due to the poor quality of information on occupation in death certificates. This study looks at the differences in mortality according to educational level, using individual information obtained through the linkage between the Death Register and the Municipal Census, in the cities of Madrid and Barcelona, Spain. METHODS: The study populations were residents of Madrid and Barcelona aged >24 years, who died in 1993 and 1994. Indicators obtained for each city and educational level were: age- and sex-specific mortality rates, and life expectancy at 25 years. Poisson regression models were fitted to obtain the relative risk (RR) of death for each educational level with respect to the reference level (higher education completed), adjusted for age. RESULTS: The mortality rate was lower among individuals with higher educational levels, while life expectancy at 25 years was higher. In both cities men and women with no education showed the highest mortality in all age groups, with very high RR in the youngest age group (RR for men aged 25-34 years = 7.08 in Madrid and 6.02 in Barcelona, whereas in women these RR were 6.33 and 5.63 respectively). In Barcelona the greater part of the overall mortality difference for the group aged 25-34 years was due to AIDS (acquired deficiency syndrome, 33.4% in men and 59.3% in women). CONCLUSION: The present study has found higher mortality (mainly from AIDS) among individuals with no academic qualifications thus drawing attention to the need to implement policies aimed at reducing these inequalities.
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Keywords:
Acquired Immunodeficiency Syndrome; Age Specific Death Rate; Comparative Studies; Death Rate; Demographic Factors; Developed Countries; Differential Mortality; Diseases; Economic Factors; Educational Status; Europe; Hiv Infections; Mediterranean Countries; Mortality; Population; Population At Risk; Population Dynamics; Research Methodology; Socioeconomic Factors; Socioeconomic Status; Southern Europe; Spain; Studies; Viral Diseases
Authors: C Borrell; F Domínguez-Berjón; M I Pasarín; J Ferrando; I Rohlfs; M Nebot Journal: J Epidemiol Community Health Date: 2000-01 Impact factor: 3.710
Authors: M Huisman; A E Kunst; O Andersen; M Bopp; J-K Borgan; C Borrell; G Costa; P Deboosere; G Desplanques; A Donkin; S Gadeyne; C Minder; E Regidor; T Spadea; T Valkonen; J P Mackenbach Journal: J Epidemiol Community Health Date: 2004-06 Impact factor: 3.710