title: Investigating Factors Associated with Depressive Symptoms of Chronic Kidney Diseases in China with Type 2 Diabetes.
abstract: Aim.To assess the depressive symptoms status of chronic kidney diseases in Nantong, China, with type 2 diabetes and to identify factors associated with depressive symptoms.Methods.In this cross-sectional analytic study, 210 type 2 diabetic patients were recruited from the Second Affiliated Hospital of Nantong University. Depressive symptoms were assessed with the depression subscale of the Hospital Anxiety and Depression Scale (HAD-D). The quality of life was measured with the RAND 36-Item Health Survey (SF-36). And the independent risk factors of depressive symptoms were assessed by using a stepwise forward model of logistic regression analysis.Results.The mean age of the study subjects was 57.66 years (SD: 11.68). Approximately 21.4% of subjects reported depressive symptoms (n= 45). Forward stepwise logistic regression analysis showed that female gender (P= 0.010), hypertension (P= 0.022), Stage IV (P= 0.003), and Stage V (P< 0.001) were significant risk factors for depressive symptoms. The quality of life of individuals with HAD-D score <11 was significantly better compared with individuals with HAD-D score ≥ 11.Conclusions.These results indicate that clinicians should be aware that female patients with chronic kidney diseases with T2DM in their late stage with hypertension are at a marked increased risk of depressive symptoms. Providing optimal care for the psychological health of this population is vital.
authors.affiliation: Department of Nursing, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China; School of Nursing, Nantong University, Nantong, Jiangsu Province, China.
authors.forename: Xu
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Nursing, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.
authors.forename: Biyu
authors.initials: B
authors.lastname: Shen
authors.affiliation: Department of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu Province, China.
authors.forename: Xun
authors.identifier: 0000-0002-3974-8193
authors.initials: X
authors.lastname: Zhuang
authors.affiliation: Department of Endocrinology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.
authors.forename: Xueqin
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Nursing, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.
authors.forename: Weiqun
authors.identifier: 0000-0002-0572-3430
authors.initials: W
authors.lastname: Weng
mesh_terms: D000368:Aged; D002681:China; D003430:Cross-Sectional Studies; D003863:Depression / Q000150:complications* / Q000523:psychology; D048909:Diabetes Complications / Q000150:complications* / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011569:Psychiatric Status Rating Scales; D011788:Quality of Life / Q000523:psychology*; D051436:Renal Insufficiency, Chronic / Q000150:complications* / Q000523:psychology; D012307:Risk Factors; D012737:Sex Factors