ArticleScientific reports2026
Psychological associations of sports technology use with technostress, self-efficacy, cognitive weariness, and athlete burnout.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The increasing integration of digital technologies in sport training environments has raised concerns regarding their potential psychological implications. This study examined the associations among technostress, athlete burnout, self-efficacy, and cognitive weariness among university students enrolled in sports-related academic disciplines and organized university athletic training programs. A cross-sectional survey was conducted among 1,612 university students majoring in sports-related disciplines and/or formally engaged in organized university-level athletic training programs across universities in Xi'an, China, between November and December 2025. Data were collected using validated self-report measures of technostress, self-efficacy, cognitive weariness, and athlete burnout. Structural equation modeling and regression analyses were performed using IBM SPSS and AMOS. Indirect associations were examined using bootstrapping with 5,000 resamples. Sensitivity analysis was conducted to assess robustness to potential unmeasured confounding. Technostress was directly associated with athlete burnout (β = 0.22, p < 0.001) and indirectly associated with burnout through cognitive weariness and self-efficacy. The path from technostress to cognitive weariness (β = 0.42, p < 0.001) and, subsequently, from cognitive weariness to athlete burnout (β = 0.43, p < 0.001) represented the stronger indirect pathway. In contrast, the pathways from technostress to self-efficacy (β = - 0.34, p < 0.001) and from self-efficacy to athlete burnout (β = - 0.24, p < 0.001) indicated concurrent but comparatively weaker indirect associations. The model accounted for 56% of the variance in athlete burnout (R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.