Association of Household Income With Life Expectancy and Cause-Specific Mortality in Norway, 2005-2015
- PMID: 31083722
- PMCID: PMC6515574
- DOI: 10.1001/jama.2019.4329
Association of Household Income With Life Expectancy and Cause-Specific Mortality in Norway, 2005-2015
Abstract
Importance: Examining causes of death and making comparisons across countries may increase understanding of the income-related differences in life expectancy.
Objectives: To describe income-related differences in life expectancy and causes of death in Norway and to compare those differences with US estimates.
Design and setting: A registry-based study including all Norwegian residents aged at least 40 years from 2005 to 2015.
Exposures: Household income adjusted for household size.
Main outcomes and measures: Life expectancy at 40 years of age and cause-specific mortality.
Results: In total, 3 041 828 persons contributed 25 805 277 person-years and 441 768 deaths during the study period (mean [SD] age, 59.3 years [13.6]; mean [SD] number of household members per person, 2.5 [1.3]). Life expectancy was highest for women with income in the top 1% (86.4 years [95% CI, 85.7-87.1]) which was 8.4 years (95% CI, 7.2-9.6) longer than women with income in the lowest 1%. Men with the lowest 1% income had the lowest life expectancy (70.6 years [95% CI, 69.6-71.6]), which was 13.8 years (95% CI, 12.3-15.2) less than men with the top 1% income. From 2005 to 2015, the differences in life expectancy by income increased, largely attributable to deaths from cardiovascular disease, cancers, chronic obstructive pulmonary disease, and dementia in older age groups and substance use deaths and suicides in younger age groups. Over the same period, life expectancy for women in the highest income quartile increased 3.2 years (95% CI, 2.7-3.7), while life expectancy for women in the lowest income quartile decreased 0.4 years (95% CI, -1.0 to 0.2). For men, life expectancy increased 3.1 years (95% CI, 2.5-3.7) in the highest income quartile and 0.9 years (95% CI, 0.2-1.6) in the lowest income quartile. Differences in life expectancy by income levels in Norway were similar to differences observed in the United States, except that life expectancy was higher in Norway in the lower to middle part of the income distribution in both men and women.
Conclusions and relevance: In Norway, there were substantial and increasing gaps in life expectancy by income level from 2005 to 2015. The largest differences in life expectancy between Norway and United States were for individuals in the lower to middle part of the income distribution.
Conflict of interest statement
Figures
Comment in
-
Life and Death in Norway and the United States.JAMA. 2019 May 21;321(19):1877-1879. doi: 10.1001/jama.2019.4891. JAMA. 2019. PMID: 31083727 No abstract available.
Similar articles
-
The Association Between Income and Life Expectancy in the United States, 2001-2014.JAMA. 2016 Apr 26;315(16):1750-66. doi: 10.1001/jama.2016.4226. JAMA. 2016. PMID: 27063997 Free PMC article.
-
Association of Social Mobility With the Income-Related Longevity Gap in the United States: A Cross-Sectional, County-Level Study.JAMA Intern Med. 2020 Mar 1;180(3):429-436. doi: 10.1001/jamainternmed.2019.6532. JAMA Intern Med. 2020. PMID: 31961379 Free PMC article.
-
Socially disparate trends in lifespan variation: a trend study on income and mortality based on nationwide Danish register data.BMJ Open. 2017 May 17;7(5):e014489. doi: 10.1136/bmjopen-2016-014489. BMJ Open. 2017. PMID: 28515191 Free PMC article.
-
Life expectancy and years of potential life lost in bipolar disorder: systematic review and meta-analysis.Br J Psychiatry. 2022 Sep;221(3):567-576. doi: 10.1192/bjp.2022.19. Br J Psychiatry. 2022. PMID: 35184778 Review.
-
Recent mortality in Britain: a review of trends and explanations.Age Ageing. 2021 May 5;50(3):676-683. doi: 10.1093/ageing/afab016. Age Ageing. 2021. PMID: 33625483 Review.
Cited by
-
Educational gradient in hip fracture incidence in Norway. The Norwegian Epidemiologic Osteoporosis Studies (NOREPOS).Osteoporos Int. 2024 Nov;35(11):2047-2053. doi: 10.1007/s00198-024-07133-1. Epub 2024 Jun 25. Osteoporos Int. 2024. PMID: 38918222 Free PMC article.
-
Temporal trends in the visual impairment burden attributable to high fasting plasma glucose levels: a population-based study.Acta Diabetol. 2024 Sep;61(9):1151-1159. doi: 10.1007/s00592-024-02302-4. Epub 2024 May 22. Acta Diabetol. 2024. PMID: 38775871
-
[Socioeconomic deprivation and premature mortality in Germany, 1998-2021 : An ecological study with what-if scenarios of inequality reduction].Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 May;67(5):528-537. doi: 10.1007/s00103-024-03862-0. Epub 2024 Apr 8. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024. PMID: 38587641 Free PMC article. German.
-
Worker and workplace determinants of employment exit: a register study.BMJ Open. 2024 Mar 11;14(3):e080464. doi: 10.1136/bmjopen-2023-080464. BMJ Open. 2024. PMID: 38471685 Free PMC article.
-
Impacts of Poverty and Lifestyles on Mortality: A Cohort Study in Predominantly Low-Income Americans.Am J Prev Med. 2024 Jul;67(1):15-23. doi: 10.1016/j.amepre.2024.02.015. Epub 2024 Feb 27. Am J Prev Med. 2024. PMID: 38417593 Free PMC article.
References
-
- Östergren O, Martikainen P, Tarkiainen L, Elstad JI, Brønnum-Hansen H. Contribution of smoking and alcohol consumption to income differences in life expectancy: evidence using Danish, Finnish, Norwegian and Swedish register data. J Epidemiol Community Health. 2019:73(4):334-339. doi:10.1136/jech-2018-211640 - DOI - PMC - PubMed
