Programa Universitario de Estudios del Desarrollo, Coordinación de Humandiades, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico.
Departamento de Investigación, Instituo Nacional de Geriatría, Secretaría de Salud, Mexico City, Mexico.
PLoS One. 2023 Sep 27;18(9):e0292129. doi: 10.1371/journal.pone.0292129. eCollection 2023.
While the cumulative deficit model is arguably the most popular instrument for population-level frailty screening, several questions remain unanswered regarding the comparability of the resulting scores across subpopulations.
Based on data from the five waves of the Mexican Health and Aging Study (MHAS) we draw upon the alignment method to test for measurement invariance of frailty scores as per the accumulation of deficits approach.
Our results show that adjusting for measurement non-invariance not only improves predictive validity of our frailty measures, but resulting scores are more consistent with what is theoretically expected from them in longitudinal research.
There are clear potential benefits of measurement invariance testing as a general analytical framework from which to tackle with issues of comparability in frailty research.
虽然累积缺陷模型可以说是用于人群脆弱性筛查的最流行的工具,但对于跨子群体的得分可比性,仍有一些问题尚未得到解答。
基于墨西哥健康与老龄化研究(MHAS)的五波数据,我们利用校准方法来测试根据缺陷积累方法的脆弱性得分的测量不变性。
我们的结果表明,调整测量不变性不仅可以提高我们的脆弱性测量的预测有效性,而且还会使得分更符合理论上对它们在纵向研究中的预期。
在脆弱性研究中,作为一个通用的分析框架来解决可比性问题,测量不变性测试具有明显的潜在好处。