基于办公室的 Globorisk 风险方程预测伊朗人口十年心血管风险:Fasa PERSIAN 队列研究的结果。

IF 3.9 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES BMC Medical Research Methodology Pub Date : 2024-10-26 DOI:10.1186/s12874-024-02374-4
Amir Baseri, Azizallah Dehghan, Rozhan Khezri, Zahra Montaseri, Dagfinn Aune, Fatemeh Rezaei
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引用次数: 0

摘要

背景介绍Globorisk 是心血管疾病 10 年风险评估的预测工具之一,其特点是基于办公室(非实验室)的版本。该版本在确定心血管疾病风险时无需进行实验室检测。本研究旨在利用基于诊室的 Globorisk 模型确定 10 年心血管疾病风险以及与 10 年心血管疾病风险相关的因素:方法:本研究采用了 6810 名参与法萨队列研究、无心血管疾病或中风史者的基线数据。基于办公室的 Globorisk 模型的风险方程包含年龄、性别、收缩压 (SBP)、体重指数 (BMI) 和吸烟状况。Globorisk 模型将风险分为三组:低风险组(结果为低风险)、中风险组(结果为中风险)和高风险组(结果为高风险):根据 10 年心血管疾病风险分类,分别有 78.3%、16.4% 和 5.3% 的男性处于低、中和高风险组,而分别有 85.8%、10.0% 和 4.2% 的女性处于相应的风险组。多变量逻辑回归结果显示,在男性中,与高运动量相比,吸食鸦片者的十年心血管疾病风险降低,而文盲、腹部肥胖、低或中度运动量的风险增加。在女性中,已婚和纤维消费量较高会降低10年心血管疾病风险,而文盲、低或中等体力活动量(与高体力活动量相比)、腹部肥胖、吸食鸦片、财富五分位数1至4(与五分位数5相比)会增加风险:考虑到与心血管疾病风险增加相关的因素,有必要提高人们对心血管疾病的认识并改变生活方式,以减轻和降低心血管疾病的风险。此外,及早识别中高风险人群对预防疾病恶化至关重要。在资源有限的情况下,使用基于诊室的 Globorisk 模型可用于确定 10 年心血管疾病风险。
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Office-based risk equation of Globorisk for prediction of ten-years cardiovascular risk among Iranian population: findings from Fasa PERSIAN cohort study.

Background: Globorisk is one of the prediction tools for 10-year risk assessment of cardiovascular disease, featuring an office-based (non-laboratory-based) version. This version does not require laboratory tests for determining the CVD risk. The present study aims to determine the 10-year CVD risk using the office-based Globorisk model and factors associated with the 10-year CVD risk.

Methods: In this study, baseline data from 6810 individuals participating in the Fasa cohort study, with no history of CVD or stroke, were utilized. The risk equation of the office-based Globorisk model incorporates age, sex, systolic blood pressure (SBP), body mass index (BMI), and smoking status. The Globorisk model categorizes the risk into three groups: low risk (< 10%), moderate risk (10% to < 20%), and high risk (≥ 20%). To identify factors associated with the 10-year CVD risk, the predicted risk was categorized into two groups: <10% and ≥ 10%. Multivariable logistic regression analysis was employed to determine factors associated with an increased CVD risk.

Results: According to the 10-year CVD risk categorization, 78.3%, 16.4%, and 5.3% of men were in the low, moderate, and high risk groups, respectively, while 85.8%, 10.0%, and 4.2%, of women were in the respective risk groups. Multivariable logistic regression results indicated that in men, the 10-year CVD risk decreases with being an opium user, and increases with being illiterate, having abdominal obesity, and low or moderate physical activity compared to high physical activity. In women, being married, and higher fiber consumption decrease the 10-year CVD risk, while being illiterate, low or moderate physical activity compared to high physical activity, having abdominal obesity, opium use, and being in wealth quintiles 1 to 4 compared to quintile 5 increase the risk.

Conclusions: Considering the factors associated with increased CVD risk, there is a need to enhance awareness and modify lifestyle to mitigate and reduce the risk of CVD. Additionally, early identification of individuals at moderate to high risk is essential for preventing disease progression. The use of the office-based Globorisk model can be beneficial in settings where resources are limited for determining the 10-year CVD risk.

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来源期刊
BMC Medical Research Methodology
BMC Medical Research Methodology 医学-卫生保健
CiteScore
6.50
自引率
2.50%
发文量
298
审稿时长
3-8 weeks
期刊介绍: BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.
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