Observational studyInternational journal for equity in health2018
Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data.
Observational study in International journal for equity in health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 31 citations in OpenAlex.
- Article
- Population Aging and the Burden of Chronic Health Conditions Among Mexican-Born Undocumented Farmworkers in the U.S.Journal of immigrant and minority health · 2026Article
- Multimorbidity trends in Catalonia, 2010-21: a population-based cohort study.International journal of epidemiology · 2026Article
- Health trends among workers in Germany and the role of changing job activities and working conditions.Scientific reports · 2025Article
- Sex and age-specific multimorbidity profiles among working-age inpatients in China: a comparative network analysis.BMC public health · 2025Article
- Review
- Multimorbidity, Treatment, and Determinants among Chronic Patients Attending Primary Health Facilities in Tshwane, South Africa.Diseases (Basel, Switzerland) · 2023Article
- Regional variations in multimorbidity burden among office-based physicians in Germany.European journal of public health · 2023Article
- Trends in the Prevalence of Chronic Non-Communicable Diseases and Multimorbidity across Socioeconomic Gradients in Rural Southwest China.The journal of nutrition, health & aging · 2023Article
- Functional limitation in the older Brazilian adults: Association with multimorbidity and socioeconomic conditions.PloS one · 2023Article
- Compression and Expansion of Morbidity—Secular Trends Among Cohorts of the Same AgeDeutsches Arzteblatt international · 2022Review
- Article
- Sex and Gender Differences in Environmental Influences on Dementia Incidence in Germany, 2014-2019: An Observational Cohort Study Based on Health Claims Data.Journal of Alzheimer's disease : JAD · 2022Observational
- Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches.Endocrinology and metabolism clinics of North America · 2021Review
- Persistence of Multimorbidity Among Women Aged 15-49 Years in India: An Analysis of Prevalence, Patterns and Correlation.International journal of public health · 2021Article
- Burden and determinants of multimorbidity among women in reproductive age group: a cross-sectional study based in India.Wellcome open research · 2020Article
- Article
- Multimorbidity Development in Working People.International journal of environmental research and public health · 2019Article
- Prevalence, characteristics, and patterns of patients with multimorbidity in primary care: a retrospective cohort analysis in Canada.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019Article
- Health inequalities in terms of myocardial infarction and all-cause mortality: a study with German claims data covering 2006 to 2015.International journal of public health · 2019Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special attention is paid to whether differing time trends between socio-economic status (SES) groups have taken place, increasing or decreasing inequalities in multimorbidity.
methodsThe analyses are based on claims data of a German statutory health insurance company covering an observation period from 2005 to 2015. Multimorbidity prevalence risks are estimated using logistic generalized estimation equations (GEE) models. Predicted probabilities of multimorbidity prevalence are used to assess time trends in absolute social inequalities in terms of educational level, income, and occupational group.
resultsThe prevalence risks of multimorbidity rose among all SES groups and social gradients persist throughout the observation period, indicating significantly higher multimorbidity prevalence risks for individuals with lower SES. Widening absolute inequalities are found among men in terms of educational level and among women in terms of occupational groups.
conclusionsThe increases in multimorbidity prevalence among the working population are accompanied by widening social inequalities, pointing towards a growing disadvantage for men and women in lower SES groups. The rising burden and the increasing inequalities among the working population stress the importance of multimorbidity as a major public health concern.
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