Literature DB >> 29384240

Age and cause-of-death contributions to area socioeconomic, sex and remoteness differences in life expectancy in New South Wales, 2010-2012.

Alexandre S Stephens1,2, Fiona Blyth3, Leena Gupta4, Richard A Broome1.   

Abstract

OBJECTIVES: To determine age group- and cause-of-death-specific contributions to area socioeconomic status (SES), sex and remoteness life expectancy inequalities.
METHODS: Mortality and estimated residential population data from New South Wales, Australia, over 2010-2012 was used to calculate life expectancy. Inequalities by sociodemographic groups were partitioned into age group- and cause-of-death-specific contributions.
RESULTS: The largest contributions to SES differentials in life expectancy were observed at 60-84 years of age; for cancer, cardiovascular, endocrine and respiratory causes of death; and additionally external causes of death for males. Sex inequalities ranged from 3.6 to 5.2 years, with common causes of death such as cardiovascular disease and cancer in late adulthood (60+ years) accounting for the bulk of the differences. Smaller differences in life expectancy were observed by remoteness, with the largest contributions observed in ages 85 years and above, and for cardiovascular, mental, cancer and external causes of death.
CONCLUSIONS: Common causes of death in late adulthood accounted for the bulk of life expectancy inequalities. Implications for public health: Development of policy and interventions aimed at addressing social determinants, such as proposed by the WHO's Global Plan of Action, are needed to help reduce sociodemographic inequalities in lifespan.
© 2018 The Authors.

Entities:  

Keywords:  age and cause-of-death contributions; life expectancy inequalities; social determinants

Mesh:

Year:  2018        PMID: 29384240     DOI: 10.1111/1753-6405.12753

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  2 in total

1.  Socioeconomic Inequalities in Total and Site-Specific Cancer Incidence in Germany: A Population-Based Registry Study.

Authors:  Jens Hoebel; Lars E Kroll; Julia Fiebig; Thomas Lampert; Alexander Katalinic; Benjamin Barnes; Klaus Kraywinkel
Journal:  Front Oncol       Date:  2018-09-25       Impact factor: 6.244

2.  Time Trends and Income Inequalities in Cancer Incidence and Cancer-Free Life Expectancy - a Cancer Site-Specific Analysis of German Health Insurance Data.

Authors:  Fabian Tetzlaff; Jens Hoebel; Jelena Epping; Siegfried Geyer; Heiko Golpon; Juliane Tetzlaff
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.