Evidence map›Paper›PMID 40018198›Full record

ArticleBMJ public health2024

Healthy enough to work up to age 67 and beyond? A longitudinal population-based study on time trends in working life expectancy free of cardiovascular diseases based on German health insurance data.

Jelena Epping, Fabian Tetzlaff, Lieselotte Mond, Juliane Tetzlaff

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jelena EppingMedical Sociology Unit, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-1852-5601
Fabian TetzlaffDivision of Social Determinants of Health, Robert Koch Institut, Berlin, Germany.
Lieselotte MondMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
Juliane TetzlaffMedical Sociology Unit, Hannover Medical School, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the rising life expectancy in Western countries, the discussion about the increase in the retirement age is becoming more important. However, the prolongation of working lives cannot be implemented successfully without considering the health status of the (potential) employees. In this study, time trends in working life expectancy (WLE) free of widespread cardiovascular diseases (CVD) as well as the proportion of CVD-free working life years are reported. Methods: Claims data from a German statutory health insurance provider is used to analyse CVD-free WLE. Three periods were defined to assess time trends: 2006-2008 (n=2 075 248), 2011-2013 (n=2 302 127) and 2016-2018 (n=2 579 985). Based on transition rates between the states labour force, non-labour force, CVD and death, CVD-free years spent in the labour force were estimated for each age using multistate life table analyses. Results: The length of CVD-free WLE increased over time. This increase was stronger in women than in men (+6.4 years vs +2.4 years at age 18). Given the increase in total WLE of the study population, the proportion of CVD-free WLE in total WLE remained stable over time. Conclusions: The results show that working life years free of CVD increased strongly over the last 13 years and can keep pace with the increase in the length of working lives. Healthier working conditions as well as more efforts in promoting healthy nutrition and less sedentary behaviour could help to further reduce the incidence of CVD and thus contribute to longer healthy working lives.

Indexed as

Cardiovascular DiseasesEpidemiologytrends

Identifiers

PMID40018198
PMCPMC11816200

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.