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一种用于自我报告心血管危险因素的数字工具:RADICAL研究。

A digital tool for self-reporting cardiovascular risk factors: The RADICAL study.

作者信息

Ferreira Santos José, Castela Inês, Gamboa Madeira Sara, Furtado Sofia, Vieira Pereira Hugo, Teixeira Diana, Dores Hélder

机构信息

Catolica Medical School, Lisboa, Portugal.

Hospital da Luz Setúbal, Luz Saúde, Portugal.

出版信息

Int J Cardiol Cardiovasc Risk Prev. 2025 Jan 8;24:200368. doi: 10.1016/j.ijcrp.2025.200368. eCollection 2025 Mar.

Abstract

AIMS

Cardiovascular diseases remain the leading cause of death worldwide. Risk stratification and early interventions are essential to overcome this reality. The aimed to evaluate the prevalence of self-reported cardiovascular risk factors in individuals without known cardiovascular disease using a digital tool.

METHODS AND RESULTS

A digital self-reported cardiovascular risk stratification tool, comprising 23 questions about classical and lifestyle cardiovascular risk factors, was completed by 4149 individuals aged 40-69 years (median age 53.0 [47.0; 60.0] years; 78 % women). Among the cardiovascular risk factors, 40.9 % reported hypercholesterolemia, 26.8 % hypertension, 17.3 % smoking, 5.8 % diabetes, 58.4 % physical inactivity, 19.4 % obesity, 33.7 % sleep less than 7 h/night, and 12.1 % had composite dietary risk factors. Most of the participants (89.9 %) referred having at least one of the eight cardiovascular risk factors. Women had 27 % higher odds of having at least one cardiovascular risk factor compared to men (OR = 1.27, 95 % CI [1.00, 1.60]). Participants aged 50-59 years also had higher odds of having at least one CV risk factor compared to those aged 40-49 years (OR = 1.35, 95 % CI [1.07, 1.70]).

CONCLUSION

The RADICAL Study reveals a high prevalence of cardiovascular risk factors in adults without known cardiovascular disease. Beyond the relevance of traditional risk factors, such as hypercholesterolemia and hypertension, the results regarding physical activity, dietary and sleeping habits are concerning. A self-reported cardiovascular risk identification digital tool could be feasible and help to improve cardiovascular prevention.

摘要

目的

心血管疾病仍是全球主要死因。风险分层和早期干预对于改变这一现状至关重要。本研究旨在使用数字工具评估无已知心血管疾病个体中自我报告的心血管危险因素的患病率。

方法与结果

4149名年龄在40 - 69岁(中位年龄53.0[47.0; 60.0]岁;78%为女性)的个体完成了一个数字自我报告心血管风险分层工具,该工具包含23个关于经典和生活方式心血管危险因素的问题。在心血管危险因素中,40.9%报告有高胆固醇血症,26.8%有高血压,17.3%吸烟,5.8%有糖尿病,58.4%身体活动不足,19.4%肥胖,33.7%每晚睡眠少于7小时,12.1%有复合饮食危险因素。大多数参与者(89.9%)表示至少有八种心血管危险因素中的一种。与男性相比,女性至少有一种心血管危险因素的几率高27%(OR = 1.27,95%CI[1.00, 1.60])。与40 - 49岁的参与者相比,50 - 59岁的参与者至少有一种心血管危险因素的几率也更高(OR = 1.35,95%CI[1.07, 1.70])。

结论

RADICAL研究揭示了无已知心血管疾病的成年人中心血管危险因素的高患病率。除了高胆固醇血症和高血压等传统危险因素的相关性外,关于身体活动、饮食和睡眠习惯的结果也令人担忧。自我报告的心血管风险识别数字工具可能是可行的,并有助于改善心血管预防。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cca6/11786916/b2247bd8c309/gr1.jpg

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