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海拔与弗雷明汉风险评分的关联:秘鲁成年人群的横断面研究。

Association between Altitude and the Framingham Risk Score: A Cross-Sectional Study in the Peruvian Adult Population.

机构信息

Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru.

Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima 150142, Peru.

出版信息

Int J Environ Res Public Health. 2022 Mar 24;19(7):3838. doi: 10.3390/ijerph19073838.

DOI:10.3390/ijerph19073838
PMID:35409522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8998056/
Abstract

To determine the association between altitude and the Framingham risk score in the Peruvian population, we performed a cross-sectional analytical study of data collected by the 2017-2018 Food and Nutrition Surveillance by Life Stages survey. The outcome of this study was the Framingham 10-year cardiovascular disease event risk prediction, which is composed of six modifiable and non-modifiable coronary risk factors. A generalized linear model (GLM) of the gamma family and log link function was used to report the crude and adjusted β coefficients. Several sensitivity analyses were performed to assess the association of interest. Data from a total of 833 surveyed participants were included. After adjusting for educational level, poverty level, alcohol consumption, physical activity level, the presence of any limitation, obesity, and area of residence, it was observed that altitude ≥ 2500 m above sea level (β = -0.42 [95% CI: -0.69 to -0.16]) was negatively and significantly associated with a decrease in the Framingham 10-year risk score. High altitude was significantly and negatively associated with Framingham 10-year risk scores. Our results will allow prevention strategies considering modifiable risk factors to avoid the development of cardiovascular diseases, especially in people living at low altitudes.

摘要

为了确定海拔高度与秘鲁人群中弗雷明汉风险评分之间的关联,我们对 2017-2018 年生命阶段食品和营养监测调查收集的数据进行了横断面分析研究。本研究的结果是弗雷明汉 10 年心血管疾病事件风险预测,它由六个可改变和不可改变的冠心病危险因素组成。使用伽马家族和对数链接函数的广义线性模型(GLM)报告了原始和调整后的β系数。进行了几次敏感性分析以评估感兴趣的关联。共纳入了 833 名接受调查的参与者的数据。在调整了教育程度、贫困程度、饮酒量、身体活动水平、任何限制的存在、肥胖和居住区域后,观察到海拔高度≥2500 米(β=-0.42[95%CI:-0.69 至-0.16])与弗雷明汉 10 年风险评分的降低呈负相关且有统计学意义。高海拔与弗雷明汉 10 年风险评分呈显著负相关。我们的研究结果将允许考虑可改变的风险因素的预防策略,以避免心血管疾病的发生,特别是在生活在低海拔地区的人群中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bba0/8998056/ae1a023bed54/ijerph-19-03838-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bba0/8998056/8ddd3af424df/ijerph-19-03838-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bba0/8998056/ae1a023bed54/ijerph-19-03838-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bba0/8998056/8ddd3af424df/ijerph-19-03838-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bba0/8998056/ae1a023bed54/ijerph-19-03838-g002.jpg

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