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Contribution of avoidable mortality to life expectancy inequalities in Wales: a decomposition by age and by cause between 2002 and 2020.
Currie, Jonny; Schilling, Hayden T; Evans, Lloyd; Boyce, Tammy; Lester, Nathan; Greene, Giles; Little, Kirsty; Humphreys, Ciarán; Huws, Dyfed; Yeoman, Andrew; Lewis, Sally; Paranjothy, Shantini.
Afiliação
  • Currie J; Division of Population Medicine, School of Medicine, Cardiff University, Cardiff CF10 3QN, UK.
  • Schilling HT; Centre for Marine Science & Innovation, University of New South Wales, Sydney, NSW 2052, Australia.
  • Evans L; Sydney Institute of Marine Science, Mosman, NSW 2088, Australia.
  • Boyce T; NHS Wales Health Collaborative, Cardiff CF10 4BZ, UK.
  • Lester N; Institute of Health Equity, Department for Epidemiology & Public Health, University College London, London WC1E 6BT, UK.
  • Greene G; Public Health Data, Knowledge and Research Directorate, Public Health Wales, Cardiff CF10 4BZ, UK.
  • Little K; Welsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK & Swansea University Medical School, Swansea SA2 8PP, UK.
  • Humphreys C; Public Health Data, Knowledge and Research Directorate, Public Health Wales, Cardiff CF10 4BZ, UK.
  • Huws D; Wider Determinants of Health Unit, Public Health Wales, Cardiff CF10 4BZ, UK.
  • Yeoman A; Public Health Data, Knowledge and Research Directorate, Public Health Wales, Cardiff CF10 4BZ, UK.
  • Lewis S; Welsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK & Swansea University Medical School, Swansea SA2 8PP, UK.
  • Paranjothy S; Gwent Liver Unit, Royal Gwent Hospital, Newport NP20 2UB, UK.
J Public Health (Oxf) ; 45(3): 762-770, 2023 08 28.
Article em En | MEDLINE | ID: mdl-36423922
OBJECTIVES: To explore the contribution of avoidable mortality to life expectancy inequalities in Wales during 2002-2020. DESIGN: Observational study. SETTING: Wales, 2002-20, including early data from the COVID-19 pandemic. METHODS: We used routine statistics for 2002-2020 on population and deaths in Wales stratified by age, sex, deprivation quintile and cause of death. We estimated the contribution of avoidable causes of death and specific age-categories using the Arriaga decomposition method to highlight priorities for action. RESULTS: Life expectancy inequalities rose 2002-20 amongst both sexes, driven by serial decreases in life expectancy amongst the most deprived quintiles. The contributions of amenable and preventable mortality to life expectancy inequalities changed relatively little between 2002 and 2020, with larger rises in non-avoidable causes. Key avoidable mortality conditions driving the life expectancy gap in the most recent period of 2018-2020 for females were circulatory disease, cancers, respiratory disease and alcohol- and drug-related deaths, and also injuries for males. CONCLUSIONS: Life expectancy inequalities widened during 2002-20, driven by deteriorating life expectancy in the most deprived quintiles. Sustained investment in prevention post-COVID-19 is needed to address growing health inequity in Wales; there remains a role for the National Health Service in ensuring equitable healthcare access to alongside wider policies that promote equity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Observational_studies Limite: Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Observational_studies Limite: Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article