Evidence map›Paper›PMID 42816072›Full record

ArticleBMJ open2026

Associations between natural area availability and morbidity: a cross-sectional study using health insurance billing data from Germany.

Doreen Müller, Zehra Durmus, Manas K Akmatov, Claudia Kohring, Jakob Holstiege, Johannes Hagelskamp, Julie Lorraine O'Sullivan

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Doreen MüllerZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany dmueller@zi.de.ORCID http://orcid.org/0000-0002-2565-0216
Zehra DurmusZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany.
Manas K AkmatovZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany.
Claudia KohringZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany.
Jakob HolstiegeZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany.
Johannes HagelskampZentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Berlin, Germany.
Julie Lorraine O'SullivanInstitute of Medical Sociology and Rehabilitation Science, Charite - Universitatsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-8991-9966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAccess to nature has been associated with improved physical and mental health through multiple pathways, including stress reduction, physical activity promotion and reduced chronic disease risks. In contrast, urban areas lacking nature often expose residents to pollution, noise and heat. This study examines whether natural area availability is associated with morbidity.

designWe conducted a cross-sectional study using 2023 outpatient billing data, with the Charlson Comorbidity Index (CCI) as a measure of morbidity. (Mixed) linear regression models were applied in ecological-regional (full sample) and individual (2.5% stratified random sample) designs to examine associations between CCI and three natural area indicators (semi-natural, forest and water) while controlling for sociodemographic, socioeconomic and infrastructural variables.

settingNationwide ambulatory claims data (secondary data analysis).

participantsData from 72.7 million individuals with statutory health insurance in Germany were used.

resultsIn the ecological-regional analysis, higher proportions of semi-natural, forest and water areas per inhabitant were negatively associated with the average regional CCI, with coefficients of -0.433 (95% CI -0.723 to -0.143, p=0.004), -0.080 (95% CI -0.139 to -0.021, p=0.008) and -0.612 (95% CI -1.137 to -0.087, p=0.022). Multilevel analyses confirmed these associations at the individual level: an increase of one SD of semi-natural (-0.013, 95% CI -0.023 to -0.003, p=0.009), forest (-0.012, 95% CI -0.022 to -0.002, p=0.024) or water area (-0.011, 95% CI -0.021 to -0.001, p=0.032) was each associated with a lower CCI.

conclusionRegions with more natural areas were associated with lower morbidity. Green spaces may support better health. Equitable access to natural environments could promote population health.

Indexed as

Insurance, HealthMorbidityNatureAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleGermanyHumansInfantInfant, NewbornLinear ModelsEPIDEMIOLOGYHealthPUBLIC HEALTH

Identifiers

PMID42816072
PMCPMC13630104

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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.