Evidence map›Paper›PMID 41991952›Full record

ArticleScientific reports2026

Psychological profiles of mindfulness and tourist fatigue: a latent profile analysis in a digital travel context.

Ke Guo, Xinxin Yang, Yunyun Wei, Jun Cao, Fuqiang Tan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ke GuoCenter for Mindfulness Research, Huainan Normal University, West Dongshan Road, Tianjiaan District, Huainan City, 232038, AnHui Province, China.
Xinxin YangSchool of Humanities and Social Sciences, Macau Millennium College, 8th-9th Floor, China Civil Plaza, No. 255 Alameda Dr. Carlos D'Assumpção, Macau, 999078, China.
Yunyun WeiCenter for Mindfulness Research, Huainan Normal University, West Dongshan Road, Tianjiaan District, Huainan City, 232038, AnHui Province, China.
Jun CaoCenter for Mindfulness Research, Huainan Normal University, West Dongshan Road, Tianjiaan District, Huainan City, 232038, AnHui Province, China.
Fuqiang TanCenter for Mindfulness Research, Huainan Normal University, West Dongshan Road, Tianjiaan District, Huainan City, 232038, AnHui Province, China. tan-academic@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examined how the different psychological constructs of mindfulness, anxiety, and positive fantasy engagement influence tourist fatigue in digitally mediated tourism experiences. In response to the increasing anxiety regarding cognitive overload in AI-driven travel ecosystems, the study reconceptualizes fatigue as configuration-dependent, but not uniformly experienced. Composite measures of mindfulness (MAAS), anxiety (GAD-7), positive fantasy engagement, and tourist fatigue were determined using survey data of 646 tourists. Latent Profile Analysis was used to identify psychological subgroups, after which ANOVA and multinomial logistic regression were run to test the differences in fatigue and demographic predictors. It is a framework that combines self-control theory, conservation of resources theory, and broaden-and-build theory in the digitally accelerated tourism context. There were four different types of profiles of mindfulness-dominated positive fantasy, emotionally distressed, high-positive psychological capital, and balanced-average. The profiles had a significant difference in fatigue levels (η² = 0.254), with the highest fatigue reported by the Emotionally Distressed group and the lowest by the High Positive Psychological Capital group. Mostly, the demographic predictors were insignificant, which emphasized the importance of psychological configuration rather than the structural characteristics. The findings advance tourism psychology by showing that fatigue is a result of the interaction between attentional regulation, emotional load, imaginative engagement, and the intensity of the digital environment. The study will add a multi-level psychological architecture of tourist fatigue by combining person-centered modeling with digital tourism scholarship. In the context of smart tourism system in China and AI-mediated traveling systems that continue to grow worldwide, the application of digital mindfulness and attentional scaffolding systems within platform design can potentially help reduce the fatigue of psychologically vulnerable users. This work goes beyond variable-based models to uncover the interaction of internal regulatory systems, tourism infrastructures that are mediated by digital technologies, to provide a worldwide applicable model of maintaining experiential well-being as technologically enhanced travel environments are experienced.

Indexed as

FatigueMindfulnessTourismTravelAdultAnxietyDigital MediaFemaleHumansSurveys and QuestionnairesAI-mediated tourismDigital mindfulnessEmotional regulationLatent profile analysisSmart tourismTourist fatigue

Identifiers

PMID41991952
PMCPMC13246741

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.