Soroush Ali, Shams-Alizadeh Nasim, Vahdat Afsoon, Mohebi Zeinab, Saeidi Mozhgan, Komasi Saeid
Heart Research Center, Imam Ali Hospital, Kermanshah University of Medical Sciences. Kermanshah, Iran.
Lifestyle Modification Research Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
J Cardiovasc Thorac Res. 2019;11(2):100-108. doi: 10.15171/jcvtr.2019.18. Epub 2019 May 23.
Regarding the expanding population in developing countries who are at risk for cardiovascular diseases (CVDs), identification and management of effective factors are important in reducing the risk of CVDs. So, the present study aimed to assess the role of perceived heart risk factors (PHRFs) in the prediction of cardiovascular risk among outpatient patients. The samples of this cross-sectional study included 150 outpatient patients who attend the clinic of Imam Reza hospital during October-December 2016. The participants were completed the Perceived Heart Risk Factors Scale (PHRFS) and Cardiovascular Risk Assessment Questionnaire (CRAQ). Data analyzed through Pearson correlation and multiple regression analyses. Based on the findings, 28%, 40%, 22.7%, and 9.3% of patients were low, medium, high, and severely high-risk, respectively. The strongest predictors of the cardiovascular risk were physiological (β=-0.273; =0.004), psychological (β=0.236; =0.020), and biological risk factors (β=0.209; =0.016), respectively. In addition, the strongest predictor of the lifestyle risk was physiological risk factors (β=-0.264; =0.007). Other variables do not play a significant role in predict the lifestyle risk (>0.05). Our model was able to explain 9.2% of cardiovascular risk variance and 5.7% of cardiovascular risk caused by lifestyle variance. The higher patients' perception about biological and psychological risk factors is concerned as an alarm for increased cardiovascular risk while higher perception about physiological risk factors is associated with reduced cardiovascular risk caused by lifestyle and total cardiovascular risk. The programs reducing cardiovascular risk should target the high-risk groups to save cost and time.
对于发展中国家不断增加的有心血管疾病（CVDs）风险的人群，识别和管理有效因素对于降低心血管疾病风险至关重要。因此，本研究旨在评估感知心脏危险因素（PHRFs）在门诊患者心血管风险预测中的作用。这项横断面研究的样本包括2016年10月至12月期间在伊玛目礼萨医院诊所就诊的150名门诊患者。参与者完成了感知心脏危险因素量表（PHRFS）和心血管风险评估问卷（CRAQ）。通过Pearson相关性分析和多元回归分析对数据进行分析。根据研究结果，分别有28%、40%、22.7%和9.3%的患者为低、中、高和极高风险。心血管风险的最强预测因素分别是生理因素（β=-0.273；P=0.004）、心理因素（β=0.236；P=0.020）和生物危险因素（β=0.209；P=0.016）。此外，生活方式风险的最强预测因素是生理危险因素（β=-0.264；P=0.007）。其他变量在预测生活方式风险方面没有显著作用（P>0.05）。我们的模型能够解释9.2%的心血管风险方差和5.7%的由生活方式方差引起的心血管风险。患者对生物和心理危险因素的较高认知被视为心血管风险增加的警报，而对生理危险因素的较高认知与生活方式引起的心血管风险和总心血管风险的降低相关。降低心血管风险的项目应以高危人群为目标，以节省成本和时间。
