Evidence map›Paper›PMID 40818003›Full record

ArticleResearch on child and adolescent psychopathology2025

Through a Dark Lens: A Longitudinal Study on Dark Triad Traits, Future Negative Insight, and Antisocial Attitudes.

Junwei Pu, Zhongyao Lu, Xiong Gan

Abstract read
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In one paragraph

Article in Research on child and adolescent psychopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Junwei PuDepartment of Psychology, College of Education and Sports Sciences, Yangtze University, Jingzhou, 434022, PR China.
Zhongyao LuDepartment of Psychology, College of Education and Sports Sciences, Yangtze University, Jingzhou, 434022, PR China.
Xiong GanDepartment of Psychology, College of Education and Sports Sciences, Yangtze University, Jingzhou, 434022, PR China. pujunea10@gmail.com.

Funding

Hubei Provincial Department of Education 23ZD132Yangtze University 2024csz001
6 · The paper itself

Abstract

Life history framework underscores the importance of time perspective in studies on dark personality development and its outcomes. This study aims to examine the potential role of future negative insight between Dark Triad and antisocial attitudes through a temporal process. Data were collected from 245 participants (120 boys, 125 girls; mean age = 15.58, SD = 1.76) across three time points in a longitudinal design. Study 1 used structural equation modeling (SEM) with baseline data (T1) to examine the mediating role of future negative insight in the relationship between Dark Triad traits and antisocial attitudes. Study 2 employed a three-wave Random-Intercept Cross-Lagged Panel Model (RI-CLPM) to investigate the dynamic relationships among them. Study 1's SEM analysis demonstrated that future negative insight significantly mediated the relationship between Dark Triad traits and antisocial attitudes. Study 2's RI-CLPM revealed intricate cross-lagged associations among Dark Triad traits, future negative insight, and antisocial attitudes, underscoring their temporal dynamics and longitudinal interdependence. These findings highlight the motivational process and psychological developmental mechanisms underlying the link between dark personality traits and antisocial outcomes from a temporal perspective.

Indexed as

Antisocial Personality DisorderAttitudeMachiavellianismPersonalityAdolescentFemaleHumansLongitudinal StudiesMaleAntisocial attitudesAntisocial behaviorDark triadFuture negative insightTime perspective inventory

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.