Age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy in Germany, 2003-21: an ecological study.


Journal

The Lancet. Public health
ISSN: 2468-2667
Titre abrégé: Lancet Public Health
Pays: England
ID NLM: 101699003

Informations de publication

Date de publication:
May 2024
Historique:
received: 12 12 2023
revised: 01 03 2024
accepted: 05 03 2024
medline: 4 5 2024
pubmed: 4 5 2024
entrez: 3 5 2024
Statut: ppublish

Résumé

Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life-expectancy gap between socioeconomic groups. We examined how age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed at the area level in Germany over time. In this ecological study, official German population and cause-of-death statistics provided by the Federal Statistical Office of Germany for the period Jan 1, 2003, to Dec 31, 2021, were linked to district-level data of the German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by area-level deprivation quintile and decompose the life-expectancy gap between the most and least deprived quintiles into age-specific and cause-specific mortality contributions. Over the study period, population numbers varied between 80 million and 83 million people per year, with the number of deaths ranging from 818 000 to 1 024 000, covering the entire German population. Between Jan 1, 2003, and Dec 31, 2019, the gap in life expectancy between the most and least deprived quintiles of districts increased by 0·7 years among females (from 1·1 to 1·8 years) and by 0·1 years among males (from 3·0 to 3·1 years). Thereafter, during the COVID-19 pandemic, the gap increased more rapidly to 2·2 years in females and 3·5 years in males in 2021. Between 2003 and 2021, the causes of death that contributed the most to the life-expectancy gap were cardiovascular diseases and cancer, with declining contributions of cardiovascular disease deaths among those aged 70 years and older and increasing contributions of cancer deaths among those aged 40-74 years over this period. COVID-19 mortality among individuals aged 45 years and older was the strongest contributor to the increase in life-expectancy gap after 2019. To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from cardiovascular disease and cancer in socioeconomically deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect. German Cancer Aid and European Research Council.

Sections du résumé

BACKGROUND BACKGROUND
Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life-expectancy gap between socioeconomic groups. We examined how age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed at the area level in Germany over time.
METHODS METHODS
In this ecological study, official German population and cause-of-death statistics provided by the Federal Statistical Office of Germany for the period Jan 1, 2003, to Dec 31, 2021, were linked to district-level data of the German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by area-level deprivation quintile and decompose the life-expectancy gap between the most and least deprived quintiles into age-specific and cause-specific mortality contributions.
FINDINGS RESULTS
Over the study period, population numbers varied between 80 million and 83 million people per year, with the number of deaths ranging from 818 000 to 1 024 000, covering the entire German population. Between Jan 1, 2003, and Dec 31, 2019, the gap in life expectancy between the most and least deprived quintiles of districts increased by 0·7 years among females (from 1·1 to 1·8 years) and by 0·1 years among males (from 3·0 to 3·1 years). Thereafter, during the COVID-19 pandemic, the gap increased more rapidly to 2·2 years in females and 3·5 years in males in 2021. Between 2003 and 2021, the causes of death that contributed the most to the life-expectancy gap were cardiovascular diseases and cancer, with declining contributions of cardiovascular disease deaths among those aged 70 years and older and increasing contributions of cancer deaths among those aged 40-74 years over this period. COVID-19 mortality among individuals aged 45 years and older was the strongest contributor to the increase in life-expectancy gap after 2019.
INTERPRETATION CONCLUSIONS
To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from cardiovascular disease and cancer in socioeconomically deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect.
FUNDING BACKGROUND
German Cancer Aid and European Research Council.

Identifiants

pubmed: 38702094
pii: S2468-2667(24)00049-5
doi: 10.1016/S2468-2667(24)00049-5
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e295-e305

Informations de copyright

2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC 4.0 license.

Déclaration de conflit d'intérêts

Declaration of interests We declare no competing interests.

Auteurs

Fabian Tetzlaff (F)

Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany. Electronic address: TetzlaffF@rki.de.

Markus Sauerberg (M)

Research Area of Ageing, Mortality and Population Dynamics, Federal Institute for Population Research (BiB), Wiesbaden, Germany.

Pavel Grigoriev (P)

Research Area of Ageing, Mortality and Population Dynamics, Federal Institute for Population Research (BiB), Wiesbaden, Germany.

Juliane Tetzlaff (J)

Medical Sociology Unit, Hannover Medical School, Hannover, Germany.

Michael Mühlichen (M)

Medical Sociology Unit, Hannover Medical School, Hannover, Germany.

Jens Baumert (J)

Division of Physical Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Niels Michalski (N)

Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Annelene Wengler (A)

Division of Health Reporting, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Enno Nowossadeck (E)

Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Jens Hoebel (J)

Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

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