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使用预测的心脏/血管年龄评估美国和中低收入国家的心血管疾病风险。

Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age.

机构信息

Department of Public Health, Texas Tech University Health Sciences Center, Abilene, TX, USA.

Statistical & Data Sciences, Smith College, Northampton, MA, USA.

出版信息

Sci Rep. 2017 Nov 30;7(1):16673. doi: 10.1038/s41598-017-16901-5.

DOI:10.1038/s41598-017-16901-5
PMID:29192146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5709399/
Abstract

Almost 80% of the global burden of cardiovascular disease (CVD) occurs in low- and middle-income countries (LMICs). However, LMICs do not have well-established, low-technology ways to quantify and communicate CVD risk at population or individual levels. We examined predicted heart/vascular age (PHA) in six LMICs and the United States. Data were from CVD-free adults in World Health Organization Study on Global Aging and Adult Health (n = 29094) and US National Health and Nutritional Examination Survey (n = 6726). PHA was calculated using the non-laboratory Framingham CVD risk equation. High excess PHA (HEPHA) was defined as the differences between PHA and chronological age >5 years. Logistic regression models were used to identify factors associated with HEPHA. Age-standardized prevalence of HEPHA was higher in Russia 52%; China 56%; Mexico 59%; and South Africa 65% compared to the US 45%, Ghana 36%; and India 38%. In LMICs, higher income, being divorced/widowed, alcohol intake and abdominal obesity had higher odds of HEPHA; higher education, fruit intake and physical activity had lower odds of HEPHA. The use of PHA may offer a useful avenue to communicate CVD risk. Interventions tailored at socioeconomic and cultural factors that influence CVD risk factors may be necessary to prevent CVD in LMICs.

摘要

全球心血管疾病(CVD)负担的近 80%发生在低收入和中等收入国家(LMICs)。然而,LMICs 没有完善的、低技术的方法来量化和交流人群或个体水平的 CVD 风险。我们研究了六个 LMICs 和美国的预测心脏/血管年龄(PHA)。数据来自无 CVD 的成年人,他们参与了世界卫生组织全球老龄化和成人健康研究(n=29094)和美国国家健康和营养调查(n=6726)。使用非实验室 Framingham CVD 风险方程计算 PHA。高 PHA (HEPHA)定义为 PHA 与实际年龄之间的差异>5 年。使用逻辑回归模型确定与 HEPHA 相关的因素。俄罗斯 52%、中国 56%、墨西哥 59%和南非 65%的 HEPHA 年龄标准化患病率高于美国的 45%、加纳的 36%和印度的 38%。在 LMICs 中,较高的收入、离婚/丧偶、饮酒和腹部肥胖与 HEPHA 的发生几率较高有关;较高的教育程度、水果摄入量和身体活动与 HEPHA 的发生几率较低有关。PHA 的使用可能为交流 CVD 风险提供一个有用的途径。针对影响 CVD 风险因素的社会经济和文化因素的干预措施可能是预防 LMICs 中 CVD 所必需的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/239f747912b8/41598_2017_16901_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/169d56b575e9/41598_2017_16901_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/061384e4e43e/41598_2017_16901_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/239f747912b8/41598_2017_16901_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/169d56b575e9/41598_2017_16901_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/061384e4e43e/41598_2017_16901_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b885/5709399/239f747912b8/41598_2017_16901_Fig3_HTML.jpg

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