Sharma Baby, Tripathi Pramod, Kadam Nidhi, Tiwari Diptika, Vyawahare Anagha, Kathrikolly Thejas, Ganla Malhar
Department of Research, Freedom From Diabetes Research Foundation, Pune, Maharashtra, 411004, India.
Freedom From Diabetes Clinic, Pune, Maharashtra, India.
Sci Rep. 2024 Dec 30;14(1):32059. doi: 10.1038/s41598-024-83681-0.
Diabetes distress (DD) significantly burdens and negatively impacts self-management and health outcomes in patients with type 2 diabetes (T2D). Early detection and management of DD are crucial for effective T2D management. The Diabetes Distress Assessment System (T2-DDAS) is a recently validated tool for measuring DD, but its psychometric properties in non-Western populations, such as India, have not been evaluated. This study aimed to assess the validity and reliability of T2-DDAS in Indian patients with T2D. Data from 408 T2D patients enrolled in a one-year diabetes management program at the Freedom from Diabetes Clinic in Pune, India, from January to March 2024, were analyzed. Sociodemographic characteristics, medical history, and anthropometric parameters were extracted from existing records. T2-DDAS, previously validated in a Western population, was administered. Statistical analyses included descriptive statistics, Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), using IBM SPSS, R, and AMOS software. The T2-DDAS demonstrated good internal consistency (Cronbach's α = 0.91). CFA yielded satisfactory fit indices (χ² = 1036.92, RMSEA = 0.07, TLI = 0.905, CFI = 0.918), supporting the construct validity of T2-DDAS for the Indian population. The T2-DDAS is a valid and reliable tool for assessing DD in Indian patients with T2D.
糖尿病困扰（DD）给2型糖尿病（T2D）患者带来了沉重负担，并对其自我管理和健康结局产生负面影响。早期发现和管理糖尿病困扰对于有效管理2型糖尿病至关重要。糖尿病困扰评估系统（T2-DDAS）是一种最近经过验证的用于测量糖尿病困扰的工具，但尚未评估其在非西方人群（如印度）中的心理测量特性。本研究旨在评估T2-DDAS在印度2型糖尿病患者中的有效性和可靠性。分析了2024年1月至3月在印度浦那的糖尿病自由诊所参加为期一年糖尿病管理项目的408例2型糖尿病患者的数据。从现有记录中提取社会人口学特征、病史和人体测量参数。使用先前在西方人群中验证过的T2-DDAS进行评估。统计分析包括描述性统计、主成分分析（PCA）、探索性因子分析（EFA）、验证性因子分析（CFA）和结构方程模型（SEM），使用IBM SPSS、R和AMOS软件。T2-DDAS显示出良好的内部一致性（Cronbach'sα=0.91）。CFA产生了令人满意的拟合指数（χ²=1036.92，RMSEA=0.07，TLI=0.905，CFI=0.918），支持T2-DDAS在印度人群中的结构效度。T2-DDAS是评估印度2型糖尿病患者糖尿病困扰的有效且可靠的工具。
