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TRUVACE RECORD VERSION
record: TRV-2026-1294
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-06T06:55:46.562603Z
status: published
lens: p_space
sector: lifestyle
headline: The Serial Mediating Roles of Repetitive Negative Thinking and Future Anxiety Between AI Competence Anxiety and Sleep Disturbance
dek: Although artificial intelligence technologies are rapidly becoming widespread, the potential psychological risks associated with these technologies have not yet been sufficiently understood. Considering the expanding areas of use of artificial intelligence tools, examining the potential risk factors that may emerge from these technologies is considered important. Accordingly, the present study investigated the serial mediating roles of repetitive negative thinking (RNT) and future anxiety in the relationship bet…
gain_title: (none)
problem_title: Higher artificial intelligence competence anxiety was indirectly associated with greater sleep disturbance through increased repetitive negative thinking and future anxiety.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: Higher artificial intelligence competence anxiety was indirectly associated with greater sleep disturbance through increased repetitive negative thinking and future anxiety.
problem_evidence: significant indirect associations between artificial intelligence competence anxiety and sleep disturbance through RNT and future anxiety | artificial intelligence competence anxiety and sleep disturbance | repetitive negative thinking (RNT) and future anxiety
quick_read: On 2026-10-04, a peer-reviewed study in Behavioral Sleep Medicine reported an investigation of 364 adults aged 18-60 into how AI competence anxiety relates to sleep disturbance. Using two-step structural equation modeling with bootstrap tests and controlling for gender, age, and frequency of AI tool use, the authors found significant indirect associations through repetitive negative thinking and future anxiety.

The result matters because it identifies a plausible psychological pathway from anxiety about keeping up with AI to impaired sleep, a concrete health outcome, rather than treating AI anxiety as abstract. What remains uncertain is whether these cross-sectional associations reflect causal effects, whether they generalize beyond a predominantly young female sample, and whether interventions targeting RNT and future anxiety would actually reduce sleep disturbance.
limitation: Findings are based on a specific cross-sectional sample that was predominantly female and young adult, limiting generalizability.
tag: Evidence-backed problem
key_points: Study of 364 adults aged 18-60 tested serial mediation between AI competence anxiety and sleep disturbance. | Analyses used two-step Structural Equation Modeling with bootstrap testing of indirect effects. | Gender, age, and frequency of artificial intelligence tool usage were included as control variables. | Authors report significant indirect associations through repetitive negative thinking and future anxiety.
rundown: The authors examined whether repetitive negative thinking and future anxiety serially mediate the link between AI competence anxiety and sleep disturbance. They recruited 364 participants aged 18 to 60, with a mean age of 28.43 and 71.98% female, and controlled for gender, age, and frequency of AI tool usage.

Using a two-step SEM approach and bootstrap tests for indirect effects, they found significant indirect associations. The paper frames this as contributing to understanding psychological mechanisms and as a guiding framework for practitioners developing intervention and prevention programs aimed at reducing sleep disturbance.
sources:
- peer_reviewed | Behavioral Sleep Medicine | https://doi.org/10.1080/15402002.2026.2742293 | 2026-10-04
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