Evidence map›Paper›PMID 38912268›Full record

ArticleFrontiers in public health2024

Determinants influencing health-promoting behaviors in individuals at high risks of stroke: a cross-sectional study.

Mengxia Chen, Mengdi Wang, Mengting Qiao, Xiaorong Huang, Dongmei Li, Longjuan Yu, Lifen Gan, Wenyao Chen, Yanqiu Weng, Jingwen Zhang and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

13 authors.

Mengxia Chen *Education and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Mengdi Wang *Education and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Mengting Qiao *Education and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Xiaorong HuangEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Dongmei LiNeurovascular Center, Changhai Hospital, Shanghai, China.
Longjuan YuNeurovascular Center, Changhai Hospital, Shanghai, China.
Lifen GanNeurovascular Center, Changhai Hospital, Shanghai, China.
Wenyao ChenEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Yanqiu WengEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Jingwen ZhangEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Bing YuEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.
Jianmin LiuNeurovascular Center, Changhai Hospital, Shanghai, China.
Lingjuan ZhangEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quit smoking, moderate drinking, exercise, and healthy eating habits are all known to decrease the risk of stroke. As a result, understanding the health behaviors of high risk groups for stroke is crucial. Health behavior is influenced by knowledge, social environment, and health beliefs. However, little research has been done on these relationships. For a better grasp of the relationships mentioned above, consider using the COM-B model (capability, opportunity, motivation, and behavior). The purpose of this study was to investigate the variables related to health behavior and to test the mediating effect of health beliefs. Methods: The cross-sectional study was carried out at a physical examination center of a tertiary hospital in Shanghai, China. 986 high-risk populations of stroke have been tested using the Health Behavior Scale (HBS-SP), Stroke Knowledge Questionnaire (SKQ), Health Beliefs Questionnaire (HBS), and Multidimensional Scale of Perceived Social Support (MSPSS). The structural equation modeling was used in this study. Results: The scores for MSPSS, SKQ, HBS, and HBS-SP were 60.64 ± 13.72, 26.60 ± 9.77, 157.71 ± 34.34, and 2.46 ± 0.41, respectively. The revised model fits well (approximate root mean square error = 0.042; comparative fit index = 0.946). The health behavior was obviously and positively correlated to social Support, stroke knowledge, and health beliefs. Moreover, health belief has a mediating effect on the relation of social support, stroke knowledge, and health behavior. Conclusion: Chinese high risk groups for stroke have a mediate level of health behaviors. Factors associated with health behaviors are knowledge of stroke, health beliefs, and social support. The COM-B-based model can be used to explain the health behavior of individuals at risk of stroke and to guide the formulation of effective health management programs.

Indexed as

Health BehaviorHealth Knowledge, Attitudes, PracticeStrokeAdultAgedChinaCross-Sectional StudiesFemaleHealth PromotionHumansMaleMiddle AgedRisk FactorsSocial SupportSurveys and Questionnaireshealth behaviorshealth beliefssocial supportstroke knowledgethe high-risk population of stroke

Identifiers

PMID38912268
PMCPMC11190076

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.