乌干达成年人血压和相关因素的联合回归建模:对临床实践的影响
Saidi Appeli1, Saint Kizito Omala2, Jonathan Izudi3,4
1Department of Agribusiness and Extension, Faculty of Agriculture and Animal Sciences, Busitema University, Soroti, Uganda.
PLOS global public health
|September 12, 2024
概括
这项研究联合模拟了乌干达成年人的心压和腹压血压,确定了年龄和肥胖等关键风险因素. 这些发现突出了SBP和DBP之间强烈的相关性,这对于理解高血压至关重要.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 血压 (BP) 测量,包括静缩 (SBP) 和静缩 (DBP),对于高血压诊断至关重要.
- 传统的分析方法经常独立处理SBP和DBP,可能会失去信息和统计效率.
- 联合建模提供了一个更全面的方法来理解影响SBP和DBP同时的影响因素.
研究的目的:
- 在乌干达成年人中同时模拟增加SBP和DBP的风险因素.
- 测试决定因素对SBP和DBP影响的差异.
- 应用统计技术用于联合BP建模,估计结果相关性和控制错误率.
主要方法:
- 分析2014年全国性非传染性疾病风险因素调查数据,来自18-69岁的乌干达人.
- 多变量线性回归被用来共同建模SBP和DBP作为连续结果,假设双变量正常分布.
- 考虑到SBP和DBP之间的潜在相关性,同时控制共变量.
主要成果:
- 高SBP的显著风险因素包括年龄增加,肥胖,收入增加,中心肥胖和高胆固醇血症.
- 较高的DBP与年龄增加,肥胖和高胆固醇血症有关;较低的SBP与居住在乌干达东部,北部和西部有关.
- 很少在食中添加盐的成年人具有更高的DBP;在SBP和DBP之间观察到强烈的残留相关性 (r=0.7307).
结论:
- 对SBP和DBP的联合建模为高血压研究提供了强大的统计方法.
- 已确定的风险因素,如年龄,肥胖和高胆固醇血症,对SBP和DBP的影响不同.
- SBP和DBP之间的强烈相关性强调了同时分析对于理解高血压决定因素的重要性.
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