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What's the difference? A gender perspective on understanding educational inequalities in all-cause and cause-specific mortality.
van Hedel, Karen; van Lenthe, Frank J; Oude Groeniger, Joost; Mackenbach, Johan P.
Afiliação
  • van Hedel K; Department of Public Health, Erasmus MC, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands.
  • van Lenthe FJ; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Oude Groeniger J; Department of Public Health, Erasmus MC, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. f.vanlenthe@erasmusmc.nl.
  • Mackenbach JP; Department of Public Health, Erasmus MC, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands.
BMC Public Health ; 18(1): 1105, 2018 Sep 10.
Article em En | MEDLINE | ID: mdl-30200912
ABSTRACT

BACKGROUND:

Material and behavioural factors play an important role in explaining educational inequalities in mortality, but gender differences in these contributions have received little attention thus far. We examined the contribution of a range of possible mediators to relative educational inequalities in mortality for men and women separately.

METHODS:

Baseline data (1991) of men and women aged 25 to 74 years participating in the prospective Dutch GLOBE study were linked to almost 23 years of mortality follow-up from Dutch registry data (6099 men and 6935 women). Cox proportional hazard models were used to calculate hazard ratios with 95% confidence intervals, and to investigate the contribution of material (financial difficulties, housing tenure, health insurance), employment-related (type of employment, occupational class of the breadwinner), behavioural (alcohol consumption, smoking, leisure and sports physical activity, body mass index) and family-related factors (marital status, living arrangement, number of children) to educational inequalities in all-cause and cause-specific mortality, i.e. mortality from cancer, cardiovascular disease, other diseases and external causes.

RESULTS:

Educational gradients in mortality were found for both men and women. All factors together explained 62% of educational inequalities in mortality for lowest educated men, and 71% for lowest educated women. Yet, type of employment contributed substantially more to the explanation of educational inequalities in all-cause mortality for men (29%) than for women (- 7%), whereas the breadwinner's occupational class contributed more for women (41%) than for men (7%). Material factors and employment-related factors contributed more to inequalities in mortality from cardiovascular disease for men than for women, but they explained more of the inequalities in cancer mortality for women than for men.

CONCLUSIONS:

Gender differences in the contribution of employment-related factors to the explanation of educational inequalities in all-cause mortality were found, but not of material, behavioural or family-related factors. A full understanding of educational inequalities in mortality benefits from a gender perspective, particularly when considering employment-related factors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade / Escolaridade / Disparidades nos Níveis de Saúde Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade / Escolaridade / Disparidades nos Níveis de Saúde Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Holanda