Evidence mapPaperPMID 41799476Full record

ArticleFrontiers in public health2026

Determinants of proactive health behaviors in individuals at high risks of stroke: a structural equation model analysis.

Mengdi Wang, Yijie Pan, Lixue Hou, Xiaowei Su, Bing Yu, Nannan Li, Luhan Zhang, Xin Li, Mengxia Chen, Lingjuan Zhang

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

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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

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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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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.

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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

10 authors.

Mengdi Wang *Department of Emergency and Critical Care Medicine, The 961st Hospital of Joint Logistics Support Force, Qiqihar, China.
Yijie Pan *Education and Scientific Research Department of Clinical Nursing, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Lixue Hou *Department of Nursing, The 961st Hospital of Joint Logistics Support Force, Qiqihar, China.
Xiaowei SuDepartment of Outpatient Follow-Up, Beidaihe Rest and Rehabilitation Center of Joint Logistics Support Force, Qinhuangdao, China.
Bing YuEducation and Scientific Research Department of Clinical Nursing, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Nannan LiDepartment of Nursing, The 961st Hospital of Joint Logistics Support Force, Qiqihar, China.
Luhan ZhangDepartment of Nursing, The 961st Hospital of Joint Logistics Support Force, Qiqihar, China.
Xin LiDepartment of Emergency and Critical Care Medicine, The 961st Hospital of Joint Logistics Support Force, Qiqihar, China.
Mengxia ChenDepartment of Nursing, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Lingjuan ZhangEducation and Scientific Research Department of Clinical Nursing, The First Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To explore the influencing factors of proactive health behaviors in individuals at high risks of stroke based on the theory of the proactive motivation model, and to clarify the interrelationship among these variables. Methods: A cross-sectional study using the convenience sampling method was conducted in one community in Shanghai, China. Between November 2024 and February 2025, a total of 309 individuals at high risks of stroke completed the general information questionnaire, the Self-Rated Abilities for Health Practices scale, the Chronic Illness Resources Survey, the Risk Perception Questionnaire for individuals at high risks of stroke, the 16-item European Health Literacy Survey Questionnaire, and the self-designed Proactive Health Behavior Scale for individuals at high risks of stroke. Descriptive statistics, univariate analysis, correlation analysis, and path analysis were used to identify the influencing factors and mechanisms of proactive health behaviors. Results: The structural model showed good model fit. There was a positive correlation between proactive health behaviors with chronic illness resources, health literacy, risk perception of stroke, and self-efficacy. Risk perception of stroke and self-efficacy both exerted a partial mediation effect between these variables and proactive health behaviors. Conclusions: Chronic illness resources, health literacy, risk perception of stroke, and self-efficacy are key factors associated with proactive health behaviors among individuals at high risks of stroke.

Indexed as

Health BehaviorStrokeAdultAgedChinaCross-Sectional StudiesFemaleHealth LiteracyHumansLatent Class AnalysisMaleMiddle AgedRisk FactorsSelf EfficacySurveys and Questionnairesindividuals at high risks of strokeinfluencing factorsproactive health behaviorsproactive motivation modelstructural equation modeling

Identifiers

PMID41799476
PMCPMC12963048

What Socratic holds

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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 Socratic graph.