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Development of metabolic syndrome identification model by integrating Korea national health and nutrition examination survey data with regional particulate matter, air pollutants, and green environmental factors

Crossref DOI link: https://doi.org/10.1186/s12889-026-29087-1

Published Online: 2026-08-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Choi, Mukeun https://orcid.org/0009-0007-6014-5892
Oh, Taeyeon https://orcid.org/0000-0002-1867-5554
License Information

Text and Data Mining valid from 2026-08-24

Accepted Manuscript valid from 2026-08-24
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Article History

Received: 4 June 2026

Accepted: 14 August 2026

First Online: 24 August 2026

Declarations

Ethics approval and consent to participate: The KNHANES dataset is publicly available and completely de-identified. Therefore, institutional review board (IRB) approval and participant informed consent were waived for this secondary analysis. All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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