Evidence map›Paper›PMID 40856841›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2025

Latent profile analysis of kinesiophobia in patients after lumbar spine surgery.

Qin Huang, Xiaoming Zhang, Yanrui Ren

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2025. 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

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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.

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4 · The record

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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.

Qin HuangThe First Affiliated Hospital of Yangtze University, Jingzhou, China.
Xiaoming ZhangThe First Affiliated Hospital of Yangtze University, Jingzhou, China.
Yanrui RenThe First Affiliated Hospital of Yangtze University, Jingzhou, China. renyanrui18@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to assess the current status of kinesiophobia in patients following lumbar spine surgery, categorize patients based on the latent characteristics of their kinesiophobia, and explore the influencing factors across different subgroups.

methodsA cross-sectional study was conducted between August 2024 and March 2025 in two general hospitals in Jingzhou, China. Participants completed a demographic questionnaire, the Tampa Scale for Kinesiophobia (TSK), Hospital Anxiety and Depression Scale (HADS), General Self-Efficacy Scale (GSES), Perceived Social Support Scale (PSSS), and Pain Catastrophizing Scale (PCS). Latent profile analysis (LPA) identified kinesiophobia subgroups, and univariate logistic regression explored associated factors.

resultsA total of 324 patients were included. LPA revealed three distinct kinesiophobia profiles: low-level (38.5%), moderate-level (41.0%), and high-level (20.3%). Compared with the high-level group, the low-level group was associated with lower educational attainment, stronger self-care ability, normal Body Mass Index (BMI), and higher self-efficacy. The moderate-level group was linked to lower education, abnormal BMI, lower self-efficacy, and greater pain catastrophizing.

conclusionKinesiophobia after lumbar spine surgery presents with significant heterogeneity. Educational level, BMI, self-efficacy, self-care ability, and pain-related cognition are key influencing factors. Recognizing different subtypes may assist clinicians in developing targeted interventions to alleviate kinesiophobia and support postoperative recovery.

Indexed as

Lumbar VertebraePhobic DisordersAdultAgedCatastrophizationChinaCross-Sectional StudiesFearFemaleHumansKinesiophobiaMaleMiddle AgedSelf EfficacySurveys and QuestionnairesKinesiophobiaLatent profile analysisLumbar spine surgeryPain catastrophizing

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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.