Evidence map›Paper›PMID 42889671›Full record

ArticleFrontiers in psychiatry2026

The longitudinal associations between nature exposure and non-suicidal self-injury among Chinese early adolescents: a moderated mediation model.

Baoyuan Zhu, Rongyao Li, Jiawen Zhao, Xiuchao Wei

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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.

Baoyuan ZhuSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Rongyao LiDepartment of Social Sciences, Hebei Sport University, Shijiazhuang, China.
Jiawen ZhaoSchool of Humanities and Social Sciences, Beijing Forestry University, Beijing, China.
Xiuchao WeiCollege of Education Science, Bohai University, Jinzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-suicidal self-injury (NSSI) is a major public health concern during adolescence, yet relatively little is known about whether daily exposure to natural environments is prospectively associated with adolescents' self-reported NSSI frequency. This study examined the longitudinal association between nature exposure and NSSI among Chinese early adolescents, and further tested whether mindfulness mediated this association and whether these pathways varied by gender. Methods: A three-wave longitudinal design with 6-month intervals was used. A total of 1,854 adolescents participated at T1, and the final analytic sample consisted of 1,048 adolescents who completed all three waves and were successfully matched across waves. Nature exposure was assessed at Time 1, mindfulness at Time 2, and NSSI at Time 1 and Time 3. PROCESS Model 8 was used to test the mediating role of mindfulness and the moderating role of gender, controlling for baseline NSSI, age, parental monthly income, and parental educational level. Results: T1 nature exposure positively predicted T2 mindfulness ( Conclusion: These findings suggest that T1 nature exposure was prospectively associated with lower subsequent NSSI scores through a mindfulness-related indirect pathway, and that this indirect pathway differed by gender. Given the observational design and the small magnitude of the indirect effects, the findings should be interpreted as prospective associations rather than evidence that nature exposure prevents NSSI or reduces clinical risk.

Indexed as

gender differencemindfulnessmoderated mediationnature exposurenon-suicidal self-injury

Identifiers

PMID42889671
PMCPMC13670916

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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.