Evidence map›Paper›PMID 41952128›Full record

ArticleBMC public health2026

Baby Boomers in Germany: a secondary data analysis of demographics, regional disparities, healthcare utilization, and mortality.

Andreas Kuehnl, Volker J Schmid, Michaela Olm, Wolfgang Weber

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andreas KuehnlDepartment of Industrial Engineering and Healthcare, Ostbayerische Technische Hochschule Amberg-Weiden, Hetzenrichter Weg 15, Weiden, Germany. a.kuehnl@oth-aw.de.ORCID http://orcid.org/0000-0002-8791-5662
Volker J SchmidDepartment of Statistics, Bayesian Inference and Spatial Statistics Group, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID http://orcid.org/0000-0003-2195-8130
Michaela OlmRegierungsrätin im Bayerischen Staatsministerium für Gesundheit, Pflege und Prävention, Munich, Germany.ORCID http://orcid.org/0000-0001-5263-0977
Wolfgang WeberDepartment of Industrial Engineering and Healthcare, Ostbayerische Technische Hochschule Amberg-Weiden, Hetzenrichter Weg 15, Weiden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demographic shift driven by the aging Baby Boomer cohort represents a substantial burden for our healthcare system. The aim of this study is to analyze the basic demographic characteristics, regional disparities, healthcare utilization, and the causes of death of the German Baby Boomer generation.

methodsThe German Baby Boomer generation, defined as those born between 1955 and 1969 was analysed. Information on population statistics, hospital statistics, and causes of death statistics was obtained from the German Federal Statistical Office. Global and local spatial autocorrelation were analysed using global Moran’s I and Getis-Ord-Gi* statistics.

resultsAt the end of the Baby Boomers’ birth period, the registered resident population in Germany born between 1955 and 1969 was 18.20 million. Most Baby Boomers live in cities, metropolitan areas or in North Rhine-Westphalia, eastern Germany, and Baden-Württemberg. The relative share of the population clearly shows a statistically significant unequal distribution, specifically an urban-rural divide and an east-west divide: Baby Boomers are particularly well represented in eastern Germany and in rural regions of western Germany. Between 2010 and 2024, the proportion of Baby Boomers among inpatient hospital treatments increased markedly, from 16% to 28% in men and from 15% to 21% in women. In 2024, circulatory, musculoskeletal, and neoplastic diseases were the most common primary diagnoses. Between 1984 and 2024, deaths among Baby Boomers rose substantially from 1.6% to 16% of all deaths. This increase was accompanied by a shift from predominantly external causes of death to neoplasms and cardiovascular diseases, while mortality from infectious diseases, largely driven by HIV in the 1990s, declined markedly by 2024.

conclusionsRegarding the Baby Boomer cohort, a disproportionately high demand for healthcare services and social resources may be expected. Our findings highlight the need for regionally tailored, gender sensitive and migration aware planning of healthcare resources. These challenges must be carefully addressed in future health policy planning, with particular attention to the urban-rural disparities.

Indexed as

Healthcare DisparitiesMortalityPatient Acceptance of Health CarePopulation GrowthAgedCause of DeathDemographyFemaleGermanyHumansMaleMiddle AgedPopulation DynamicsSecondary Data AnalysisBaby boomersDemographicsHealthcare utilizationMortality patternsSpatial analysisUrban-rural disparities

Identifiers

PMID41952128
PMCPMC13081385

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.