Preventing suicide naturally: connection with nature attenuates suicidal thoughts (mostly) by decreasing entrapment
Preventing suicide naturally: connection with nature attenuates suicidal thoughts (mostly) by decreasing entrapment
Given the severity of suicide, identifying risk and prevention factors is high on the research agenda. We posit that connection with nature curtails suicidal thoughts. In particular, connection with nature can help individuals feel meaningful, improve their depressive mood, and avoid a sense of entrapment—factors that influence suicidal thoughts. Across nine studies (total N = 4093), we demonstrated that connection with nature can weaken suicidal thoughts, mainly through decreased entrapment relative to lower meaning in life or attenuated depressive mood. Although the observed effect has boundary conditions (connection with withered nature), these findings are independent of methodology (cross-sectional, field quasi-experimental, longitudinal, and laboratory experimental designs) or samples (a mix of university students and community members—all from China). The findings have implications for nature connectedness-based suicide theory as well as practitioners and policy-makers tasked with containing suicide.
Nature, Connection with nature, Nature connectedness, Suicidal thoughts, Entrapment, Meaning in life, Depressive mood
Zhao, Dan
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Yang, Ying
fdaec9bc-fc0e-4cc6-9bce-3987ef17511f
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Han, Yusen
472a5308-720d-4d55-aafb-b550f3dc6b68
Hou, Xiangqing
87151dc7-2b62-47ef-a072-7b909ae63c47
Yang, Li
5023fd24-ae1f-49bb-b6eb-0f9bdfce09a2
Wang, Leyao
8d50a441-d068-44e6-a6f6-1f7ac5093a31
27 September 2025
Zhao, Dan
e1f70e16-6df8-4922-8591-38cfaf3b27d8
Yang, Ying
fdaec9bc-fc0e-4cc6-9bce-3987ef17511f
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Han, Yusen
472a5308-720d-4d55-aafb-b550f3dc6b68
Hou, Xiangqing
87151dc7-2b62-47ef-a072-7b909ae63c47
Yang, Li
5023fd24-ae1f-49bb-b6eb-0f9bdfce09a2
Wang, Leyao
8d50a441-d068-44e6-a6f6-1f7ac5093a31
Zhao, Dan, Yang, Ying, Sedikides, Constantine, Han, Yusen, Hou, Xiangqing, Yang, Li and Wang, Leyao
(2025)
Preventing suicide naturally: connection with nature attenuates suicidal thoughts (mostly) by decreasing entrapment.
Journal of Environmental Psychology.
(doi:10.1016/j.jenvp.2025.102786).
Abstract
Given the severity of suicide, identifying risk and prevention factors is high on the research agenda. We posit that connection with nature curtails suicidal thoughts. In particular, connection with nature can help individuals feel meaningful, improve their depressive mood, and avoid a sense of entrapment—factors that influence suicidal thoughts. Across nine studies (total N = 4093), we demonstrated that connection with nature can weaken suicidal thoughts, mainly through decreased entrapment relative to lower meaning in life or attenuated depressive mood. Although the observed effect has boundary conditions (connection with withered nature), these findings are independent of methodology (cross-sectional, field quasi-experimental, longitudinal, and laboratory experimental designs) or samples (a mix of university students and community members—all from China). The findings have implications for nature connectedness-based suicide theory as well as practitioners and policy-makers tasked with containing suicide.
Text
Zhao et al., in press, Preventing Suicide Naturally
- Accepted Manuscript
Restricted to Repository staff only until 22 September 2027.
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Accepted/In Press date: 21 September 2025
e-pub ahead of print date: 22 September 2025
Published date: 27 September 2025
Keywords:
Nature, Connection with nature, Nature connectedness, Suicidal thoughts, Entrapment, Meaning in life, Depressive mood
Identifiers
Local EPrints ID: 506321
URI: http://eprints.soton.ac.uk/id/eprint/506321
ISSN: 1522-9610
PURE UUID: e439856e-e3c4-4e47-9738-3e2bc6092b8c
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Date deposited: 04 Nov 2025 17:46
Last modified: 05 Nov 2025 02:36
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Contributors
Author:
Dan Zhao
Author:
Ying Yang
Author:
Yusen Han
Author:
Xiangqing Hou
Author:
Li Yang
Author:
Leyao Wang
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