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SF-12 在不同人群中的测量不变性:HELIUS 研究。

Measurement invariance of the SF-12 among different demographic groups: The HELIUS study.

机构信息

Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University, Amsterdam, The Netherlands.

出版信息

PLoS One. 2018 Sep 13;13(9):e0203483. doi: 10.1371/journal.pone.0203483. eCollection 2018.

Abstract

AIM

To investigate whether items of the SF-12, widely used to assess health outcome in clinical practice and public health research, provide unbiased measurements of underlying constructs in different demographic groups regarding gender, age, educational level and ethnicity.

METHODS

We included 23,146 men and women aged 18-70 of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, or Moroccan origin from the HELIUS study. Both multiple group confirmatory factor analyses (MGCFA), with increasingly stringent model constraints (i.e. assessing Configural, Metric, Strong and Strict measurement invariance (MI)), and regression analysis were conducted to establish comparability of SF-12 items across demographic groups.

RESULTS

MI regarding gender, age and education was tested in the ethnic Dutch group (N = 4,615). In each subsequent step of testing MI, change in goodness-of-fit measures did not exceed 0.010 (RMSEA) or 0.004 (CFI). Moreover, goodness-of-fit indices showed good fit for strict invariance models: RMSEA<0.055; CFI>0.97. Regarding ethnicity, RMSEA values of metric and subsequent models fell above 0.055, indicating violation of measurement invariance in factor loadings, thresholds and residual variances. Regression analysis revealed possible age-, education- and ethnicity-related DIF. Adjustment for this DIF had little impact on the magnitude of age and educational differences in physical and mental health, but ethnic inequalities in physical health-and to a lesser extent mental health-were reduced after DIF adjustment.

CONCLUSIONS

We found no evidence of violation of measurement invariance of the SF-12 regarding gender, age and educational level. If minor DIF would remain undetected in our MGCFA analyses, we showed that this would have negligible effect on the magnitude of demographic health inequalities. Regarding ethnicity, the SF-12 was not measurement invariant. After accounting for DIF, we observed a reduction of ethnic inequalities in health, in particular in physical health. Caution is warranted when comparing SF-12 scores across population groups with various ethnic backgrounds.

摘要

目的

研究在临床实践和公共卫生研究中广泛用于评估健康结果的 SF-12 项目是否为不同性别、年龄、教育水平和种族的人群提供了潜在结构的无偏测量。

方法

我们纳入了来自 HELIUS 研究的 23146 名年龄在 18-70 岁之间的荷兰、南亚苏里南、非洲苏里南、加纳、土耳其或摩洛哥裔的男性和女性。我们进行了多次群组验证性因子分析(MGCFA),并逐渐增加严格的模型约束(即评估结构、度量、强和严格的测量不变性(MI)),以及回归分析,以确定 SF-12 项目在不同人群中的可比性。

结果

在荷兰裔族群(N=4615)中测试了性别、年龄和教育方面的 MI。在 MI 测试的每个后续步骤中,拟合优度指标的变化均不超过 0.010(RMSEA)或 0.004(CFI)。此外,严格不变性模型的拟合优度指数显示出良好的拟合度:RMSEA<0.055;CFI>0.97。至于种族,度量和后续模型的 RMSEA 值均高于 0.055,表明因子负荷、阈值和残差方差的测量不变性受到了违反。回归分析揭示了可能与年龄、教育和种族相关的 DIF。调整这种 DIF 对身体健康和心理健康的年龄和教育差异的大小影响不大,但调整 DIF 后,身体健康方面的种族不平等程度有所降低,心理健康方面的种族不平等程度则略有降低。

结论

我们没有发现 SF-12 在性别、年龄和教育水平方面存在测量不变性违反的证据。如果我们的 MGCFA 分析中仍然存在较小的 DIF 而未被发现,我们表明这对人口群体之间的人口健康不平等程度的影响可以忽略不计。至于种族,SF-12 没有测量不变性。在考虑 DIF 之后,我们观察到健康方面的种族不平等程度有所降低,特别是在身体健康方面。在比较具有不同种族背景的人群的 SF-12 分数时,需要谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0b/6136718/940370ae84f2/pone.0203483.g001.jpg

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