Evidence map›Paper›PMID 35571442›Full record

ArticleAnnals of translational medicine2022

Association between chronic illness resources and health behaviors in hypertensive stroke patients at 6 months after discharge: a cross-sectional study.

Ke Wen, Meng-Jie Shen, Cheng-Song Deng, Yue-Feng Li, Ya-Nan Kang, Li-Hong Wan

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Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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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3 · Its place in the literature

Who cites it

7 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

6 authors.

Ke Wen *School of Nursing, Sun Yat-Sen University, Guangzhou, China.
Meng-Jie Shen *Sun Yat-Sen University Cancer Center, Guangzhou, China.
Cheng-Song DengDepartment of Neurology and Stroke Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Yue-Feng LiDepartment of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China.
Ya-Nan KangDepartment of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China.
Li-Hong WanSchool of Nursing, Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The adoption of appropriate health behaviors can prevent the recurrence of stroke. Previous research found a downward trend in hypertensive stroke patients' health behaviors from 3 to 6 months after discharge. The provision of appropriate support by chronic illness resources has been shown to predict patients' engagement in appropriate health behaviors in other chronic illness populations. This study sought to explore the association between chronic illness resources and health behaviors in hypertensive stroke patients in order to provide a foundation for the secondary prevention of stroke. Methods: Using convenience sampling method, we enrolled 133 hypertensive stroke patients at 6 months after discharge in Guangzhou, China. All the patients completed a demographic and disease-specific questionnaire, the Health Behavior Scale for Stroke Patients (HBS-SP) and the Chronic Illness Resources Survey (CIRS). A multiple stepwise regression analysis was conducted to test the association of chronic illness resources with health behaviors. Results: The total scores of the HBS-SP and CIRS were (2.89±0.38) and (2.94±0.66), respectively. The correlation coefficient for chronic illness resources and health behaviors was 0.517 (P<0.001). The positive association between chronic illness resources and health behaviors remained statistically significant after controlling for gender, education level, and the Barthel Index (unstandardized coefficient: 0.317, P<0.001). Conclusions: The chronic illness resources has positive association with health behaviors in hypertensive stroke patients at 6 months after discharge. A good support provided by chronic illness resources may contribute to promote positive health behaviors, and thus prevent the recurrence of stroke.

Indexed as

Health behaviorshealth resourceshypertensionstroke

Identifiers

PMID35571442
PMCPMC9096390

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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.