Abstract
Background Our objective was to study depressive symptoms and potential risk factors in Chinese persons with type 2 diabetes. Methods Zung self-rating depression scale (ZSDS) was used to scan depressive symptoms. Correlation between depressive symptoms and sociodemographic and medical factors were analyzed by logistic regression. Results Of 222 patients with type 2 diabetes (115 males, 107 females, age 56.36 ± 12.67 years, disease duration 7.36 ± 6.32 years), a total of 51 (23.0%) patients were categorized as having depressive symptoms. Percentage of depressive symptoms in females was higher than in males (29.0% vs. 17.6%, χ 2 = 4.2, p <0.05). Percentage of depressive symptoms increased with increase of diabetes duration, HbA 1c, TC, TG, and number of chronic diabetic complications. Univariate logistic regression showed that diabetes duration, number of chronic diabetic complications, HbA 1c, female gender, and TC were significantly correlated with depressive symptoms ( p <0.05). Multivariate logistic regression analysis indicated that variables, i.e., diabetes duration, number of chronic diabetic complications, HbA 1C, and female gender were significantly and independently associated with depressive symptoms ( p <0.05). Conclusions In this Chinese population, depressive symptoms in subjects with type 2 diabetes were frequent. Diabetes duration, number of chronic diabetic complications, HbA 1C, and female gender were independent risk factors for depressive symptoms. Further research on the relationship between diabetes and depressive symptoms in China was necessary.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.