Evidence map›Paper›PMID 42844640›Full record

ArticleBMC psychology2026

Breaking the vicarious trap: two buffers against close others' environmental influence.

Xiao Xiao, Youlong Zhan, Yiping Zhong

Abstract read
In one paragraph

Article in BMC psychology, 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
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0citing papers in PubMed
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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

3 authors.

Xiao XiaoDepartment of Psychology, Hunan First Normal University, Changsha, 410205, China.
Youlong ZhanDepartment of Psychology, Hunan University of Science and Technology, Xiangtan, 411201, China.
Yiping ZhongDepartment of Psychology, School of Education Science, Hunan Normal University, Changsha, 410081, China. ypzhong@hunnu.edu.cn.

Funding

the Excellent Youth Project of Scientific Research Project of the Department of Education of Hunan Province 25B0849
6 · The paper itself

Abstract

backgroundClose others' pro-environmental or anti-environmental behaviors can create a vicarious trap: good deeds trigger licensing (reducing one's own effort), and bad deeds induce identification (justifying inaction). However, how this trap can be mitigated remains unclear.

methodsAcross four studies (total N = 523), we found evidence for the vicarious trap in pro‑environmental behavior (PEB) and tested two buffers: situational openness (Study 2) and environmental self‑identity (Studies 3-4). Study 1 compared relationship types; Study 4 combined a brief identity‑enhancement intervention with a 30‑day diary.

resultsStudy 1 (N = 97) showed that recalling close friends' (but not family members') environmental actions reduced subsequent PEB. Study 2 (N = 180) demonstrated that situational openness-making the recalled behavior public-eliminated the trap. Study 3 (N = 180) showed that high environmental self-identity provided complete immunity. Study 4 (N = 66) provided preliminary, exploratory evidence that identity enhancement promotes an identity‑driven pathway: daily environmental self‑identity predicted next‑day PEB with autoregressive controls, and mediation analyses confirmed identity as the causal mechanism.

conclusionsThese findings identify boundary conditions and provide initial evidence for an identity‑driven behavioral pathway, with practical implications for interventions leveraging social norms and self‑concept to promote sustained PEB.

Indexed as

EnvironmentFriendsInterpersonal RelationsSelf ConceptSocial BehaviorSocial EnvironmentSocial IdentificationFemaleHumansDiary methodEnvironmental self-identityMoral regulationPro-environmental behaviorSituational opennessVicarious licensing and identification

Identifiers

PMID42844640
PMCPMC13644283

What OpenQuestion holds

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Registered trials

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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.