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衰弱综合征的因子结构在整个欧洲是一致的。

Factor structure for the frailty syndrome was consistent across Europe.

机构信息

Department of Medical Gerontology, Trinity College Dublin, Lincoln Gate, Dublin, Ireland.

Department of Medical Gerontology, Trinity College Dublin, Lincoln Gate, Dublin, Ireland.

出版信息

J Clin Epidemiol. 2014 Sep;67(9):1008-15. doi: 10.1016/j.jclinepi.2014.05.002. Epub 2014 Jun 16.

Abstract

OBJECTIVES

We explored the measurement properties of frailty with the goal of optimizing frailty assessment according to phenotype definition of Fried and comparing measurement properties across countries.

STUDY DESIGN AND SETTING

Data are from the Survey of Health, Ageing and Retirement in Europe (n = 27,938), a population-based study of community-dwelling adults aged ≥50 years. Frailty was specified as a unidimensional construct, and measurement invariance across the 12 countries was tested. To assess our measurement model, we used confirmatory factor analysis (CFA) and multigroup CFA to assess measurement invariance.

RESULTS

The unidimensional model fit the data well (adjusted χ(2)(48) = 82.74, P = 0.001), and the same structure was satisfactory for all countries. Inclusion of equality constraints led to significant model deterioration (adjusted χ(2)diff(88) = 995.05, P < 0.001), suggesting differences in parameters across countries. Spain was removed from further analyses, and equality constraints for Greece, Sweden, Israel, Italy, and France were not tenable. Accounting for these led to satisfactory model fit (adjusted χ(2)(113) = 414.33, P < 0.001). Significant mean frailty differences were identified.

CONCLUSION

The relationships between the construct of frailty and indicators, although broadly constant, do vary across some countries. Furthermore, there was evidence of differing levels of frailty for the middle-aged and older populations across European countries.

摘要

目的

我们探讨了衰弱的测量特性,旨在根据 Fried 的表型定义优化衰弱评估,并比较各国之间的测量特性。

研究设计和设置

数据来自欧洲健康、衰老和退休调查(n=27938),这是一项针对≥50 岁社区居住成年人的基于人群的研究。衰弱被指定为一个单一维度的结构,并测试了 12 个国家的测量不变性。为了评估我们的测量模型,我们使用验证性因子分析(CFA)和多组 CFA 来评估测量不变性。

结果

单维模型很好地拟合了数据(调整后的 χ(2)(48)=82.74,P=0.001),并且所有国家的相同结构都令人满意。纳入平等约束会导致模型明显恶化(调整后的 χ(2)差异(88)=995.05,P<0.001),表明各国之间存在参数差异。西班牙被排除在进一步分析之外,希腊、瑞典、以色列、意大利和法国的平等约束是不可行的。考虑到这些因素,模型拟合良好(调整后的 χ(2)(113)=414.33,P<0.001)。确定了显著的平均衰弱差异。

结论

衰弱结构与指标之间的关系虽然大致不变,但在某些国家确实存在差异。此外,欧洲各国中年和老年人群的衰弱水平存在证据表明存在差异。

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