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medicine

Depressive symptoms are not associated with type 2 diabetes in a rural population in China: findings from the Henan rural cohort: Diabetes and depression

Journal of Affective Disorders, Volume 274, Year 2020

Background: Depression is one of the most prevalent mental health challenges that affect all groups of persons. This study examines the association between type 2 diabetes and depressive symptoms (using PHQ-2) in a rural population. Other risk factors of depressive symptoms are examined. Methods: Data from 30,001 participants from the Henan rural cohort was analyzed. Multivariable logistic regression analyses were performed to examine the associations between depressive symptoms (DS) and type 2 diabetes and other risk factors. Adjusted odds ratios (aOR) with confidence intervals (CI) at 95% are reported. Results: The prevalence of DS in the study population is 5.86%, 6.69% in women, 4.74% in men, 5.80% in persons without diabetes and 6.81% in persons with diabetes (diagnosed and undiagnosed). DS prevalence was highest in persons with previously diagnosed diabetes (8.27%). No association was found between DS and diabetes (aOR = 0.95, CI at 95% 0.61-1.48; p=0.836). DS was associated with poor glycemic control (aOR=1.43, CI at 95% 1.04- 1.98; p= 0.034) in persons with previously diagnosed diabetes, persons with elevated triglycerides (aOR=1.19, CI at 95% 1.08-1.30; p<0.001), household income (aOR= 0.78, CI at 95% 0.63-0.97; p=0.027), marital status (aOR=1.37, CI at 95% 1.01-1.88, p=0.049) and hypertension treatment with medication (aOR=1.94, CI at 95% 1.48-2.55; p<0.001). Limitations: DS was assessed through self-report and may suffer recall or information bias. Conclusions: DS was not associated with diabetes in our study population. The association between poor glycemic control and DS calls for the integration of screening for depression among patients with diabetes.
Statistics
Citations: 12
Authors: 12
Affiliations: 3
Identifiers
Research Areas
Mental Health
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study
Participants Gender
Male
Female