ArticleFrontiers in oncology2022
Time Trends and Income Inequalities in Cancer Incidence and Cancer-Free Life Expectancy - a Cancer Site-Specific Analysis of German Health Insurance Data.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Getting better or worse? How trends in healthy life expectancy within working age are shaped by diverging trends among age groups.European journal of public health · 2026Article
- Social inequalities in cancer in Germany: a call to action.Journal of cancer research and clinical oncology · 2026Review
- Socioeconomic differences in return to work after oncological rehabilitation: An analysis using data from German Pension Insurance.Journal of health monitoring · 2026Article
- Individual- and area-level socioeconomic inequalities in cancer incidence in the working-age population - a cohort study based on German statutory health insurance data, 2015 to 2019.BMC public health · 2025Article
- Widening socioeconomic inequalities in cancer incidence and related potential to reduce cancer between 2008 and 2019 in Germany.Scientific reports · 2025Article
- Causal associations between socioeconomic status and prostate cancer using two-sample Mendelian randomization study.Scientific reports · 2025Article
- Lagging behind in health and work expectancies: Increasing disadvantage of individuals with lower educational level in Germany.PloS one · 2025Article
- The relationship between physical and psychosocial workplace exposures and life expectancy free of musculoskeletal and cardiovascular disease in working life - an analysis based on German health insurance data.BMC public health · 2024Article
- [How has life expectancy without functional limitations developed in Germany? An analysis with data from the German Ageing Survey (DEAS)].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- [Healthier at work for longer? Trends in life years free of cardiovascular and musculoskeletal diseases in the employed and general population based on health insurance claims data].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- The development of working life expectancy without musculoskeletal diseases against the backdrop of extended working lives.Scientific reports · 2024Article
- Association of poverty-income ratio with cardiovascular disease and mortality in cancer survivors in the United States.PloS one · 2024Article
- Household income unequally affects genetic susceptibility to pulmonary diseases: evidence from bidirectional Mendelian randomization study.Frontiers in medicine · 2024Article
- Article
- German Index of Socioeconomic Deprivation (GISD): Revision, update and applications.Journal of health monitoring · 2022Article
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6 authors.
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Abstract
Cancer represents a major burden of morbidity and mortality globally. So far, however, little is known on time trends and inequalities in the lengths of life spent free of any cancer. This study steps into this gap by analyzing time trends and income inequalities in cancer-free life expectancy (CFLE). For this retrospective cohort study, data of a large German health insurer were used (N = 3,405,673individuals, 2006-2018). Income inequalities were assessed using individual income (<60% of German average income (GAI) and ≥60% of GAI). Trends in incidence risks were analysed employing proportional-hazard regression models by splitting the observation time into three periods of 52 months. Trends in CFLE in total and for the most common site-specific cancers were calculated based on multiple decrement life tables. Incidence rates declined in almost all cancers and CFLE increased substantially over time (49.1 (95% CI 48.8-49.4) to 51.9 (95% CI 51.6-52.2) years for men, 53.1 (95% CI 52.7-53.5) to 55.4 (95% CI 55.1-55.8) years for women at age 20 for total cancer) and income groups. Considerable income inequalities in cancer risks were evident in both sexes, but were more pronounced in men (total cancer HR 0.86 (95% CI 0.85-0.87)), with higher-income individuals having lower risks. The highest income inequalities were found in colon (HR 0.90 (95% CI 0.87-0.93)), stomach (HR 0.78 (95% CI 0.73-0.84)), and lung cancer (HR 0.58 (95% CI 0.56-0.60)) in men. A reverse gradient was found for skin (HR 1.39 (95% CI 1.30-1.47) men; HR 1.27 (95% CI 1.20-1.35) women) and prostate cancer (HR 1.13 (95% CI 1.11-1.15)). The proportion of CFLE in total life expectancy declined for lung, skin and cervical cancer in women, indicating a relative shortening of lifetime spent cancer-free. In contrast, increasing proportions were found in breast and prostate cancer. To our knowledge, this is the first study analysing trends and income inequalities in CFLE. The life span free of cancer increased clearly over time. However, not all cancer types contributed equally to this positive development. Income inequalities persisted or tended to widen, which underlines the need for increased public health efforts in socioeconomically vulnerable groups.
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