Heckenberger-Nagy Evelyn, Slezák Anna Á, Kocsis Dorka, Nagy Domonkos, Teleki Szidalisz, Őry Fanni, Kiss Botond László, Wittmann István, Tiringer István
Department of Personality and Health Psychology, Institute of Psychology, University of Pécs, Pécs, Hungary
Medical Faculty, University of Pécs, Pécs, Hungary.
J Nurs Meas. 2025 Apr 23;33(1):140-153. doi: 10.1891/JNM-2023-0112.
Diabetes-specific distress (DD) is a crucial predictor of patients' self-care, necessitating reliable screening tools. The Diabetes Distress Scale captures typical sources of patients' distress effectively. The Hungarian Diabetes Distress Scale (HDDS) was employed in two studies with 450 type 2 diabetes patients. Study 1 explored DD's link to the specific quality of life, while study 2 examined its associations with depressive symptoms, anxiety, and illness perception. We evaluated HDDS's construct validity, internal consistency, and intercorrelations. Convergent validity and discriminant validity were analyzed in the second study. Exploratory and confirmatory factor analyses validated HDDS's structure. Subscales exhibited strong internal consistency and correlated as expected with quality of life, anxiety, depression, illness perception, and demographic/medical data. The Hungarian DDS demonstrates robust psychometric properties, affirming its reliability and validity.
糖尿病特异性困扰（DD）是患者自我护理的关键预测指标，因此需要可靠的筛查工具。糖尿病困扰量表能有效捕捉患者困扰的典型来源。两项针对450名2型糖尿病患者的研究使用了匈牙利糖尿病困扰量表（HDDS）。研究1探讨了DD与特定生活质量的联系，而研究2则考察了其与抑郁症状、焦虑和疾病认知的关联。我们评估了HDDS的结构效度、内部一致性和相互关系。在第二项研究中分析了收敛效度和区分效度。探索性和验证性因素分析验证了HDDS的结构。分量表表现出很强的内部一致性，并与生活质量、焦虑、抑郁、疾病认知以及人口统计学/医学数据如预期的那样相关。匈牙利糖尿病困扰量表表现出稳健的心理测量特性，证实了其可靠性和有效性。
