Kozel Dejan, Marusić Andrej
Institute of Public Health of the Republic of Slovenia, Ljubljana, Slovenia.
Psychiatr Danub. 2006 Jun;18(1-2):12-8.
The main objective of the present study was to obtain an approximate prevalence of depressive symptoms in a community sample of persons with diabetes mellitus and to discover whether social networks could explain comorbidity of diabetes mellitus and depressive symptoms.
Subjects were persons with diabetes mellitus, members of the Diabetes Association of Ljubljana (N = 396, average age: 62.9 +/- 13.4, average duration of diabetes: 17.2 +/- 10.6). Firstly, subjects were screened with CESD (Centre for Epidemiological Studies Depression Scale) and demographic data were also gathered. Secondly, two samples (individuals with and without depressive symptoms) were compared on the basis of social network analysis.
The prevalence of depressive symptoms was higher among persons with diabetes in comparison with general population. Individuals with depressive symptoms compared with individuals without depressive symptoms were less dissatisfied with diabetes (p = 0.011), and had better informational (p = 0.039) and instrumental support (p = 0.046), relations between them and support givers were closer (p = 0.050), more important and less conflicting (p = 0.042). Compared groups did not differ in quantitative characteristics of social networks (eg. size of the network or the network gender structure).
The community sample results in Slovenia support the already reported association between diabetes mellitus and depression. Furthermore, social network analysis offered some potentially relevant explanation for comorbidity of diabetes mellitus and depressive symptoms.
本研究的主要目的是获得糖尿病患者社区样本中抑郁症状的大致患病率，并探究社交网络是否能够解释糖尿病与抑郁症状的共病情况。
研究对象为糖尿病患者，即卢布尔雅那糖尿病协会的成员（N = 396，平均年龄：62.9 ± 13.4，平均糖尿病病程：17.2 ± 10.6）。首先，用流调中心抑郁量表（CESD）对研究对象进行筛查，并收集人口统计学数据。其次，基于社交网络分析对两组样本（有抑郁症状和无抑郁症状的个体）进行比较。
与普通人群相比，糖尿病患者中抑郁症状的患病率更高。与无抑郁症状的个体相比，有抑郁症状的个体对糖尿病的不满程度更低（p = 0.011），在信息支持（p = 0.039）和工具性支持方面更好（p = 0.046），他们与支持给予者之间的关系更亲密（p = 0.050）、更重要且冲突更少（p = 0.042）。两组在社交网络的定量特征方面（如网络规模或网络性别结构）没有差异。
斯洛文尼亚的社区样本结果支持了已报道的糖尿病与抑郁症之间的关联。此外，社交网络分析为糖尿病与抑郁症状的共病情况提供了一些潜在的相关解释。
