Yu Shasha, Yang Hongmei, Guo Xiaofan, Zheng Liqiang, Sun Yingxian
Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
Department of Clinical Epidemiology, Shenjing Hospital of China Medical University, Shenyang 110001, China.
Int J Environ Res Public Health. 2016 May 28;13(6):542. doi: 10.3390/ijerph13060542.
Recent economic development in China has resulted in large increases in psychogenic and metabolic diseases. However, few studies have focused on the mental status of rural residents with diabetes. We aimed to investigate the prevalence of depressive symptoms among patients with diabetes to establish the association between depressive symptoms and socio-demographic and clinical factors. We conducted a cross-sectional analysis of 1187 patients with diabetes aged ≥35 years from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). Five hundred and twenty-six residents (44.3%) of the total sample were male and 931 (78.4%) were <65 years old. One hundred and eight residents (8.76%) score ≥10 on the PHQ-9 scale. A statistically significant relationship was found between depressive symptoms and female gender, older age (≥65 years), high school or above education level, moderate physical activity, high family income, multiple additional illnesses, current alcohol consumption, and 7-8 h/d sleep duration. Multivariate analysis showed that female gender [odds ratio (OR) = 1.984, p = 0.028], high family income (OR = 0.483 for 5000-20,000 CNY/year, p = 0.011; OR = 0.356 for >2000 CNY/year, p = 0.003), 7-8 h/d sleep duration (OR = 0.453, p = 0.020), and having multiple additional illness (OR = 3.080, p < 0.001) were significantly associated with depressive symptoms. Prevalence of depressive symptoms in our study was high. Female gender and multiple illnesses were risk factors for depression, while long sleep duration and high family income seem to protect against depression among rural residents with diabetes in China.
中国近年来的经济发展导致心因性疾病和代谢性疾病大幅增加。然而,很少有研究关注糖尿病农村居民的心理状况。我们旨在调查糖尿病患者中抑郁症状的患病率,以确定抑郁症状与社会人口学因素和临床因素之间的关联。我们对来自中国东北农村地区的1187名年龄≥35岁的糖尿病患者进行了横断面分析。根据标准方法测量代谢指标和人体测量指标。使用患者健康问卷-9(PHQ-9)定义抑郁症状。总样本中有526名居民(44.3%)为男性,931名(78.4%)年龄<65岁。108名居民(8.76%)在PHQ-9量表上的得分≥10分。抑郁症状与女性、年龄较大(≥65岁)、高中及以上教育水平、适度体育活动、家庭收入高、多种其他疾病、当前饮酒以及每天7-8小时睡眠时间之间存在统计学上的显著关系。多变量分析显示,女性(优势比[OR]=1.984,p=0.028)、家庭收入高(每年5000-20000元,OR=0.483,p=0.011;每年>20000元,OR=0.356,p=0.003)、每天7-8小时睡眠时间(OR=0.453,p=0.020)以及患有多种其他疾病(OR=3.080,p<0.001)与抑郁症状显著相关。我们研究中抑郁症状的患病率较高。女性和多种疾病是抑郁的危险因素,而较长的睡眠时间和较高的家庭收入似乎可以预防中国农村糖尿病居民的抑郁。