Evidence map›Paper›PMID 41853816›Full record

ArticleFrontiers in psychology2026

Fear of progression and association factors in stroke patients: a latent profile analysis.

Yunyun Liu, Xiangrui Li, Ting Zhao, Bo Wan, Leyao Han, Yaya Xi, Jingying Xiong, Meishan Zhang, Yingqiao Wang, Xinman Dou and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Yunyun Liu *School of Nursing, Lanzhou University, Lanzhou, China.
Xiangrui Li *The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Ting ZhaoDepartment of Cardiovascular Medicine, Lanzhou University Second Hospital, Lanzhou, China.
Bo WanDepartment of Cardiovascular Medicine, Lanzhou University Second Hospital, Lanzhou, China.
Leyao HanSchool of Nursing, Lanzhou University, Lanzhou, China.
Yaya XiSchool of Nursing, Lanzhou University, Lanzhou, China.
Jingying XiongSchool of Nursing, Lanzhou University, Lanzhou, China.
Meishan ZhangSchool of Nursing, Lanzhou University, Lanzhou, China.
Yingqiao WangNo.988 Hospital of Joint Logistic Support Force, Zhengzhou, China.
Xinman DouSchool of Nursing, Lanzhou University, Lanzhou, China.
Weiping LiThe Armed Police Forces Hospital of Gansu, Lanzhou, China.
Xinglei WangDepartment of Cardiovascular Medicine, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. Methods: A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at Results: The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, Conclusion: This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes.

Indexed as

cerebrovascular accidentsfear of progressionlatent profile analysisrisk factorsrisk perceptionstroke patients

Identifiers

PMID41853816
PMCPMC12992214

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.