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糖尿病生活质量量表(DQOL)在巴西患者中的最佳内部结构。

The best internal structure of the Diabetes Quality of Life Measure (DQOL) in Brazilian patients.

机构信息

Postgraduate Program in Management of Health Programs and Services, Universidade Ceuma, Rua Josué Montello, 1, Jardim Renascença. Zip Code, 65075-120, São Luís, Brazil.

Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, Brazil.

出版信息

BMC Public Health. 2024 Feb 23;24(1):580. doi: 10.1186/s12889-024-18090-z.

Abstract

BACKGROUND

Diabetes Mellitus (DM) is considered a chronic disease with numerous secondary complications that negatively affect the quality of life of patients. However, the specific, known and validated instruments for Brazilian Portuguese are too extensive, which often makes their use infeasible.

OBJECTIVE

To validate the internal structure of the Brazilian version of the Diabetes Quality of Life (DQOL) measure.

METHODOLOGY

Patients with DM type 1 or 2, between the ages of 18 and 76, were evaluated between April 2022 and May 2022. The survey was conducted online using the Google Forms platform. The original DQOL contains 46 multiple-choice questions organized into four domains. For structural validity, confirmatory factor analysis (CFA) was performed using RStudio software (Boston, MA, USA) with the packages lavaan and semPlot.

RESULTS

A total of 354 subjects were evaluated. The 3-domain, 24-item version of the DQOL was the most adequate, with acceptable values for all fit indices (chi-square/GL < 3, TLI and CFI > 0.90, and RMSEA and SRMR < 0.08).

CONCLUSION

The structure with three domains and 24 items is the most appropriate based on factor analysis. The Brazilian version of the DQOL with a structure of 3 domains and 24 items has adequate measurement properties that support its use in the clinical and scientific context in patients with DM.

摘要

背景

糖尿病(DM)被认为是一种慢性病,有许多继发性并发症,会对患者的生活质量产生负面影响。然而,针对巴西葡萄牙语的特定、已知且经过验证的工具过于广泛,这往往使得它们的使用变得不可行。

目的

验证巴西版糖尿病生活质量(DQOL)测量表的内部结构。

方法

2022 年 4 月至 2022 年 5 月期间,评估了 18 至 76 岁的 1 型或 2 型糖尿病患者。该调查通过 Google Forms 平台在线进行。原始的 DQOL 包含 46 个多项选择题,分为四个领域。为了进行结构有效性验证,使用 RStudio 软件(波士顿,MA,美国)中的 lavaan 和 semPlot 包进行验证性因子分析(CFA)。

结果

共评估了 354 名受试者。DQOL 的三域、24 项版本是最合适的,所有拟合指标的数值都可接受(卡方/GL<3,TLI 和 CFI>0.90,RMSEA 和 SRMR<0.08)。

结论

基于因子分析,三域 24 项的结构是最合适的。具有三域 24 项结构的巴西版 DQOL 具有足够的测量属性,支持其在 DM 患者的临床和科学背景下使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5a9/10885374/199f734c19a6/12889_2024_18090_Fig1_HTML.jpg

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