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Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal behavior

Crossref DOI link: https://doi.org/10.1038/s41386-026-02336-y

Published Online: 2026-01-23

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

Authors

Galfalvy, Hanga https://orcid.org/0000-0001-7156-6106
Campbell, Elizabeth

Wong, Meghan T.

Gujral, Swathi

Szücs, Anna https://orcid.org/0000-0001-6356-4178
Szanto, Katalin
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH085651)

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH085651)

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH085651)

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH085651)

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH085651)
License Information

Text and Data Mining valid from 2026-01-23

Version of Record valid from 2026-01-23
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Article History

Received: 11 July 2025

Revised: 1 October 2025

Accepted: 2 October 2025

First Online: 23 January 2026

Competing interests

: The authors declare no competing interests.

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