[比较不同的通用模型来研究与哥伦比亚成年人身体质量指数和周长相关的因素]
Javier Martínez Torres1, Karen Julieth Quintero Díaz2, Óscar Alexánder Gutiérrez-Lesmes1
1Escuela de Salud Pública. Facultad de Ciencias de la Salud. Universidad de Los Llanos.
Nutricion hospitalaria
|November 28, 2025
概括
位置,尺度和形状 (GAMLSS) 的通用增材模型为分析体重指数 (BMI) 和腰围提供了卓越的模型适合,解决了肥胖的公共卫生问题. 这些模型更好地满足统计假设的准确解释.
科学领域:
- 公共卫生 公共卫生
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 全球肥胖率的上升是一个重大的公共卫生挑战.
- 之前关于脂肪指标的研究往往忽略了模型假设评估,可能导致偏见的发现.
- 准确的统计建模对于理解和解决过度肥胖至关重要.
研究的目的:
- 为了比较各种一般化回归模型的性能.
- 确定最适合的模型来估计与体重指数 (BMI) 和腰围相关的因素.
- 通过2015年的数据在哥伦比亚成年人中评估这些模型.
主要方法:
- 对72,815名哥伦比亚成年人 (18-65岁) 进行了一项分析横截面研究.
- 身体质量指数 (BMI) 由测量体重和身高计算;腰围也被测量.
- 对每个脂肪标记物应用了五种回归模型,使用一般化Akaike信息标准 (GAIC) 和残留的虫图表来评估模型的合适性.
主要成果:
- 位置,尺度和形状 (GAMLSS) 的通用添加模型证明了最适合BMI和腰围的模型.
- 无论是GAIC值还是形图分析,都表明GAMLSS的性能优越.
- 虽然关联的方向性在所有模型中保持一致,但观察到大小的显著变化.
结论:
- 在分析BMI和腰围时,GAMLSS提供了更好的模型匹配,并且更稳定地满足了基础假设.
- 统计模型的选择显著影响估计的关联的大小,尽管一致的方向性.
- 这些发现强调了适当的统计方法在肥胖研究中的重要性,以获得可靠的公共卫生见解.
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