Evidence map›Paper›PMID 40796824›Full record

ArticleBMC psychiatry2025

Fear of progression profiles and their association with quality of life and depression in ischemic stroke survivors: a latent profile analysis.

Jia Li, Yi He, Fei Xie, Zhiming Kang, Jing Mei, Bin Mei

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jia Li *Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Yi He *Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Fei XieDepartment of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Zhiming KangDepartment of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Jing MeiDepartment of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. 996906180@qq.com.
Bin MeiDepartment of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. neuromei20@163.com.

Funding

Medical Sci-Tech Innovation Platform of Zhongnan Hospital of Wuhan University PTXM2023024
6 · The paper itself

Abstract

backgroundFear of progression (FoP) has been well-documented in patients with cancer and chronic disease. However, there is little information in stroke patients. The purpose of this study was to explore the profiles and associated factors of FoP among ischemic stroke survivors, and to examine the association of FoP profiles with quality of life (QoL) and depression.

methodsA cross-sectional study was conducted from July 2023 to June 2024. Two hundred ischemic stroke survivors were recruited. Data collection included a self-designed sociodemographic and clinical information questionnaire, the Fear of Progression Questionnaire-Short Form, the Stroke Specific Quality of Life Scale, and the Self-Rating Depression Scale. Latent profile analysis (LPA), univariate analysis, multinomial logistic regression analysis, and multiple hierarchical regression analysis were adopted in this study.

resultsLPA identified three subgroups of FoP: Group 1-the low FoP (23%), Group 2-the moderate FoP with family-related concerns (45%), and Group 3-the high FoP with work-related concerns (32%). Older age (OR = 0.245, p = 0.003) and lower functional independence (Barthel index, BI) (OR = 0.976, p = 0.034) were associated with Group 2, while younger age (OR = 8.771, p = 0.018) and lower monthly family income (OR = 9.960, p = 0.004) were associated with Group 3. FoP profiles explained 3.0% variance in QoL and 3.3% variance in depression (p < 0.05). Group 2 and 3 showed significantly lower QoL than Group 1 (p < 0.05), while Group 2 and Group 3 had higher depression than Group 1 (p < 0.05).

conclusionThree heterogeneous subgroups of FoP were identified in ischemic stroke survivors. Age, household monthly income, and functional independence were associated with different latent profiles of FoP. Healthcare providers should categorize patients with FoP into subgroups and provide targeted interventions based on each profile's characteristics and associated factors. This could contribute to promoting their QoL and lowering their depression.

Indexed as

DepressionDisease ProgressionFearIschemic StrokeQuality of LifeSurvivorsAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesDepressionFear of progressionLatent profile analysisNursingQuality of lifeStroke survivors

Identifiers

PMID40796824
PMCPMC12341087

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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.