Literature DB >> 25439630

Associations of depression with impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes in Chinese adults.

J C Sun1,2, M Xu2, J L Lu2, Y F Bi2, Y M Mu3, J J Zhao4, C Liu5, L L Chen6, L X Shi7, Q Li8, T Yang9, L Yan10, Q Wan11, S L Wu12, Y Liu13, G X Wang13, Z J Luo14, X L Tang15, G Chen16, Y N Huo17, Z N Gao18, Q Su19, Z Ye20, Y M Wang21, G J Qin22, H C Deng23, X F Yu24, F X Shen25, L Chen26, L B Zhao2, T G Wang2, S H Lai27, D H Li28, W Q Wang2, G Ning1,2.   

Abstract

AIM: To examine the association between depression and impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes in middle-aged and elderly Chinese people, and whether depression was associated with different treatment regimens or durations of diabetes.
METHODS: A cross-sectional study was performed among 229,047 adults living in the community aged ≥ 40 years from 25 centres in China. The self-reported depression rating scale Patient Health Questionnaire 9 (PHQ-9) was used to diagnose probable and sub-threshold depression. Glucose metabolism status was determined according to World Health Organization 1999 diagnostic criteria.
RESULTS: The numbers of participants with normal glucose regulation, impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes were 120,458, 59,512, 24,826 and 24,251, respectively. The prevalence of sub-threshold depression in the total sample of participants was 4.8% (4.8%, 4.8%, 4.4% and 5.6% from normal glucose regulation to previously diagnosed diabetes, respectively), and the prevalence of probable depression was 1.1% (1.1%, 1.0%, 0.9% and 1.8% from normal glucose regulation to previously diagnosed diabetes, respectively). Compared with participants with normal glucose regulation, those with previously diagnosed diabetes had increased odds of probable depression [odds ratio (OR) = 1.61, 95% confidence interval (CI) 1.39-1.87] and sub-threshold depression (OR = 1.14, 95% CI 1.06-1.24), after adjustment for multiple confounding factors. Newly diagnosed diabetes or impaired glucose regulation was not associated with depression. Among those with previously diagnosed diabetes, insulin treatment was associated with greater odds of depression compared with no treatment or oral anti-diabetic medicine.
CONCLUSION: Previously diagnosed diabetes, but not newly diagnosed diabetes or impaired glucose regulation, was associated with a higher prevalence of depression. Patients receiving insulin were more likely to have depression than those not receiving treatment or being treated with oral anti-diabetic medicine.
© 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

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Year:  2015        PMID: 25439630     DOI: 10.1111/dme.12649

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  12 in total

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Journal:  Front Med       Date:  2018-11-16       Impact factor: 4.592

2.  A Systematic Review and Meta-Analysis of the Prevalence and Risk Factors of Depression in Type 2 Diabetes Patients in China.

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3.  The Prevalence and Specificity of Depression Diagnosis in a Clinic-Based Population of Adults With Type 2 Diabetes Mellitus.

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4.  Association of depression with pre-diabetes, undiagnosed diabetes, and previously diagnosed diabetes: a meta-analysis.

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Authors:  Lina Darwish; Erika Beroncal; Ma Veronica Sison; Walter Swardfager
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Authors:  Shukang Wang; Wei Ma; Shu-Mei Wang; Xiangren Yi
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8.  The association between insulin therapy and depression in patients with type 2 diabetes mellitus: a meta-analysis.

Authors:  Xiaosu Bai; Zhiming Liu; Zhisen Li; Dewen Yan
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9.  High Depressive Symptoms in Previously Undetected Diabetes - 10-Year Follow-Up Results of the Heinz Nixdorf Recall Study.

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Journal:  Clin Epidemiol       Date:  2021-06-09       Impact factor: 4.790

10.  Letter: Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh (Diabetes Metab J 2015;39:218-29).

Authors:  Tomoyuki Kawada
Journal:  Diabetes Metab J       Date:  2015-12       Impact factor: 5.376

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