使用多层量子模型识别与血清脂类相关的因素:对2016年全国STEPs调查的分析
Parisa Mohseni1, Davood Khalili2, Shirin Djalalinia3
1Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
International journal of preventive medicine
|June 23, 2023
概括
脂质水平受到年龄,BMI,腰围,糖尿病,高血压,吸烟和生活方式的影响. 这些因素影响了心血管疾病的风险,突出了及时干预的必要性.
科学领域:
- 心血管健康 心血管健康
- 公共卫生监督 公共卫生监督
- 脂质代谢 脂质代谢是什么
背景情况:
- 脂质疾病是动脉斑块疾病的可修改风险因素,包括心脏病发作和中风.
- 早期识别和管理与脂质相关的因素对于减少非传染性疾病至关重要.
研究的目的:
- 通过使用国家调查数据,识别与脂质资料相关的因素.
- 分析社会人口统计学,行为学和人类学因素与脂质参数之间的关系.
主要方法:
- 来自2016年STEPs调查的16757名伊朗成年人 (25-64岁) 的数据分析.
- 应用多层定量混合模型来评估与总胆固醇,甘油三,LDL-C,HDL-C和脂质比率相关的因素.
- 考虑省级和城市/农村随机效应来解释数据聚类.
主要成果:
- 年龄,BMI,腰围,糖尿病,高血压,吸烟,体力活动,教育和婚姻状况与脂质水平显著相关.
- 增加的BMI和腰围与更高的血清脂质水平有关,特别是在更高的量度.
- 吸烟者和糖尿病或高血压患者表现出显著升高的脂质水平.
结论:
- 各种因素对脂质水平的影响取决于脂质度量.
- 社会人口统计学特征,生活方式行为和人类计量测量与脂质参数有显著的关联.
- 研究结果强调了一种综合性方法管理脂质疾病的重要性,以预防心血管疾病.
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