ArticleJournal of multidisciplinary healthcare2026
Prevalence of Kinesiophobia in Patients with Inflammatory Bowel Disease: A Cross-Sectional Study.
Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Factors associated with kinesiophobia in patients with inflammatory bowel disease: associations with functional independence and fatigue.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Inflammatory bowel disease (IBD) patients often exhibit low adherence to physical activity, potentially influenced by kinesiophobia. While kinesiophobia has been extensively studied in musculoskeletal and cardiovascular populations, its prevalence and patterns in IBD patients remain underexplored. This study aimed to explore the prevalence and distribution patterns of kinesiophobia in patients with IBD and identify factors associated with different kinesiophobia profiles. Methods: This cross-sectional study recruited 222 IBD patients from a tertiary care hospital in China between January 2023 and September 2024. Kinesiophobia was assessed using the Tampa Scale of Kinesiophobia-11 (TSK-11). Latent profile analysis was conducted to identify kinesiophobia subgroups, with additional assessments of disease activity, self-management behavior, self-efficacy, and fatigue. Multinomial logistic regression identified factors associated with profile membership. Results: Among 222 IBD patients, 27.5% exhibited moderate-to-high kinesiophobia (TSK-11 ≥29). Latent profile analysis identified three distinct groups: Low-level Kinesiophobia-Cognitive Adaptation (51.4%), Medium-level Kinesiophobia-Somatic Symptom (28.8%), and High-level Kinesiophobia-Comprehensive Distress (19.8%). Complication presence was associated with both medium-level (OR=6.22, 95% CI: 2.63-14.69) and high-level profile membership (OR=4.82, 95% CI: 1.37-16.98), while disease remission showed protective effects against elevated kinesiophobia (OR=0.15 and 0.06 for medium- and high-level profiles, respectively). Fatigue severity emerged as a strong predictor of both medium- (OR=1.45, 95% CI: 1.21-1.73) and high-level profiles (OR=2.40, 95% CI: 1.81-3.18). Enhanced self-management capacity demonstrated protective effects against high-level profile (OR=0.92, 95% CI: 0.86-0.98). Conclusion: This study revealed that 27.5% of IBD patients exhibited moderate-to-high kinesiophobia and identified three distinct profiles. Disease remission was a protective factor, while complications and fatigue severity were associated with elevated kinesiophobia. Routine kinesiophobia screening and profile-based interventions should be integrated into IBD care to improve physical activity engagement.
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.