Mosleh Sultan M, Khraisat Adam, Shoqirat Noordeen, Obeidat Rana
Faculty of Health Science, Higher colleges of Technology, Fujairah, United Arab Emirates.
Higher Colleges of Technology, Fujairah, United Arab Emirates.
SAGE Open Nurs. 2024 Nov 5;10:23779608241293667. doi: 10.1177/23779608241293667. eCollection 2024 Jan-Dec.
Data on how the health belief model constructs might predict the self-care behavior of patients with cardiovascular disease (CVD) post-coronavirus disease (COVID-19) 2019 pandemic are scarce.
This study determines the predictors influencing patients' intention to adhere to self-care for CVD in the United Arab Emirates after the COVID-19 pandemic.
A descriptive cross-sectional design was used. A total of 222 patients with CVD were purposively selected. Three scales were used: , , and . Various socio-demographic and clinical characteristics and the participants' health belief components were considered potential factors in the multivariate analysis to identify the independent predictors of the intention of self-care behaviors.
The participants had a high level of perceived CVD risk (M = 4.02, SD = 0.714) and high level of perceived benefits regarding adopting healthy behavior (M = 4.30, SD = 0.817). The multiple linear regression revealed that not performing regular sweating exercises (β = 0.230), not receiving smoking cessation instructions (β = 0.214, = .005), being sufficiently active (β = 0.304), and having no history of heart surgery (β = 0.155) were the independent predictors of low intention scores. The perceived benefits and perceived cues to the action of the Health Belief Model (HBM) were significant independent predictors of behavior intention and were responsible for a 22% increase in the participants' intention variances
In a post-COVID CVD, this investigation delineated perceived benefits and cues to action derived from the HBM as the most robust prognosticators of behavioral intention (accounting for 47% of the variance), superseding sociodemographic and clinical parameters (explaining 25% of the variance). These results advocate for tailored interventions accentuating individual advantages and explicit prompts for behavioral modifications within this demographic.
关于健康信念模型构建如何预测2019年冠状病毒病（COVID-19）大流行后心血管疾病（CVD）患者自我护理行为的数据稀缺。
本研究确定影响阿拉伯联合酋长国COVID-19大流行后患者坚持心血管疾病自我护理意愿的预测因素。
采用描述性横断面设计。共 purposively 选取了222例心血管疾病患者。使用了三个量表： 、 和 。在多变量分析中，各种社会人口统计学和临床特征以及参与者的健康信念成分被视为潜在因素，以确定自我护理行为意愿的独立预测因素。
参与者对心血管疾病风险的感知水平较高（M = 4.02，SD = 0.714），对采取健康行为的益处感知水平较高（M = 4.30，SD = 0.817）。多元线性回归显示，不进行定期出汗运动（β = 0.230）、未接受戒烟指导（β = 0.214， = 0.005）、活动充分（β = 0.304）以及无心脏手术史（β = 0.155）是低意愿得分的独立预测因素。健康信念模型（HBM）的感知益处和感知行动线索是行为意愿的重要独立预测因素，导致参与者意愿方差增加22%。
在COVID后心血管疾病中，本研究将HBM中的感知益处和行动线索描述为行为意愿最有力的预测因素（占方差的47%），超过了社会人口统计学和临床参数（解释方差的25%）。这些结果主张进行针对性干预，强调个体优势，并针对该人群明确提示行为改变。
