戈勒斯坦队列研究中代谢风险因素对心血管死亡率的影响:人口应占比例估算

Fateme Gorgani , Maryam Sharafkhah , Sahar Masoudi , Hossein Poustchi , Alireza Delavari , Alireza Sadjadi , Gholamreza Roshandel , Masoud Khoshnia , Layli Eslami , Negar Rezaei , Sadaf G. Sepanlou
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引用次数: 0

摘要

背景心血管疾病(CVD)是导致全球死亡和残疾的主要原因。多项研究表明,代谢风险因素会增加心血管疾病的死亡率。本研究旨在探讨伊朗的心血管疾病死亡人数及其代谢风险因素的人群可归因分数(PAFs)。方法这是一项针对伊朗东北部戈勒斯坦队列研究(GCS)重复测量阶段招募的 8621 名 45-75 岁及以上参与者的研究。研究采用 Cox 比例危险模型确定调整后的危险比 (HRs)。计算了PAFs,以列举在消除代谢风险因素的情况下可避免的心血管疾病死亡率。结果心血管疾病的死亡率可归因于代谢因素,包括高腰围(PAF,28%,[95 % CI:16%-38%])、高空腹血糖(20%,[15%-24%])、超重和肥胖(19%,[8%-28%])、高血压(16%,[11%-21%])、高低密度脂蛋白胆固醇(LDL-C)(8%,[1%-15%])和高甘油三酯(TG)(7%,[3%-11%])。这些代谢风险因素合计占心血管疾病死亡人数的 50%。与男性(43%,[27%-55%])相比,女性(67%,[50%-78%])的代谢风险因素联合PAF更高。由于代谢风险因素对心血管疾病死亡率的影响存在地域和时间上的差异,因此必须对不同人群的心血管疾病风险因素进行具体评估和处理。
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The contribution of metabolic risk factors to cardiovascular mortality in Golestan cohort study: Population attributable fraction estimation

Background

Cardiovascular diseases (CVDs) are the leading causes of global mortality and disability. Several studies demonstrated that metabolic risk factors increase cardiovascular mortality. The aim of this study is to examine CVDs deaths and population attributable fractions (PAFs) of their metabolic risk factors in Iran.

Methods

This is a study on 8621 participants aged 45–75 years and older, recruited in the repeated measurement phase of the Golestan cohort study (GCS) in northeast of Iran. The Cox proportional hazards model was used to determine the adjusted hazard ratios (HRs). PAFs were calculated to enumerate CVDs mortality avoidable in the population if metabolic risk factors were eliminated.

Results

The mortality of CVDs was attributable to metabolic factors, including high waist circumference (PAF, 28 %, [95 % CI: 16%–38 %]), high fasting blood sugar (FBS) (20 %, [15%–24 %]), overweight and obesity (19 %, [8%–28 %]), high blood pressure (16 %, [11%–21 %]), high low-density lipoprotein cholesterol (LDL-C) (8 %, [1%–15 %]), and high triglyceride (TG) (7 %, [3%–11 %]). Collectively, these metabolic risk factors accounted for 50 % of CVDs deaths. Females (67 %, [50%–78 %]) had a higher joint PAF of metabolic risk factors compared to males (43 %, [27%–55 %]).

Conclusions

The pattern of CVDs mortality attributable to metabolic risk factors in this study is not the same as similar studies in other parts of the world and previous studies in Iran. It is imperative that CVDs risk factors be specifically evaluated and addressed in various populations due to variety in geographical and temporal patterns in contribution of metabolic risk factors to CVD mortality.

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