Literature DB >> 26926248

Differences in depression between unknown diabetes and known diabetes: results from China health and retirement longitudinal study.

Huaqing Liu1, Xiaoyue Xu2, John J Hall2, Xuesen Wu1, Min Zhang3.   

Abstract

BACKGROUND: Both diabetes and depression have become serious public health problems and are major contributors to the global burden of disease. People with diabetes have been shown to have higher risk of depression. The purpose of this study was to observe the differences in depression between older Chinese adults with known or unknown diabetes.
METHODS: Data came from the national baseline survey of China Health and Retirement Longitudinal Study (CHARLS). The Center for Epidemiologic Studies Depression Scale was used to assess depression. Participants with a history of diabetes diagnosis were considered to have known diabetes, and those with newly-diagnosed diabetes were considered to have unknown diabetes. Multiple logistic regression analysis was applied to estimate odds ratio (OR) for depression in predictor variables.
RESULTS: Overall, 39.1% of the 2,399 participants with diabetes suffered from depression. The prevalence of depression was significantly higher (p < 0.001) in people with known diabetes (43.5%) than those with unknown diabetes (35.1%). The biggest differences between the two groups were found in the middle aged, in women, in the less educated and in married people. In known diabetes, people treated with traditional Chinese medicine (TCM) coupled with oral western medicine (WM) and/or insulin had two-fold odds of depression compared to those without treatment.
CONCLUSION: The knowledge of having diabetes, treatments and suffering from other chronic diseases were associated with the higher prevalence of depression in people with known diabetes compared to those with unknown diabetes. Prevention of depression in diabetics should receive more attention in the middle aged, women and the less education.

Entities:  

Keywords:  China; depression; diabetes; middle aged and older

Mesh:

Year:  2016        PMID: 26926248     DOI: 10.1017/S104161021600020X

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  7 in total

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

Authors:  Xiaobo Liu; Yuxi Li; Li Guan; Xia He; Huiling Zhang; Jun Zhang; Juan Li; Dongling Zhong; Rongjiang Jin
Journal:  Front Med (Lausanne)       Date:  2022-05-10

2.  The association between undiagnosed diabetes and cognitive function: findings from the China health and retirement longitudinal study.

Authors:  Jiafei Yang; Haiming Xu; Jiangping Li; Yu Zhao; Suzhen Guan; Youjuan Fu; Rui Bao; Zhihong Liu
Journal:  BMC Endocr Disord       Date:  2022-06-04       Impact factor: 3.263

3.  Diagnosed but Not Undiagnosed Diabetes Is Associated with Depression in Rural Areas.

Authors:  Zhao Li; Xiaofan Guo; Hongkun Jiang; Guozhe Sun; Yingxian Sun; Maria Roselle Abraham
Journal:  Int J Environ Res Public Health       Date:  2016-11-14       Impact factor: 3.390

4.  Association between Diabetes and Cognitive Function among People over 45 Years Old in China: A Cross-Sectional Study.

Authors:  Li Zhang; Jiao Yang; Zhangyi Liao; Xiaomeng Zhao; Xuefeng Hu; Wenli Zhu; Zhaofeng Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-04-11       Impact factor: 3.390

5.  Role of socioeconomic status and housing conditions in geriatric depression in rural China: a cross-sectional study.

Authors:  Mingwang Fang; Gebremeskel Mirutse; Ling Guo; Xiao Ma
Journal:  BMJ Open       Date:  2019-05-19       Impact factor: 2.692

6.  Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis.

Authors:  Xiaobo Liu; Chao Dong; Hong Jiang; Dongling Zhong; Yuxi Li; Huiling Zhang; Jun Zhang; Jin Fan; Juan Li; Li Guan; Rongjiang Jin
Journal:  Syst Rev       Date:  2021-11-25

Review 7.  Impact of Demographic, Socioeconomic, and Psychological Factors on Glycemic Self-Management in Adults with Type 2 Diabetes Mellitus.

Authors:  Alicia A Gonzalez-Zacarias; Ana Mavarez-Martinez; Carlos E Arias-Morales; Nicoleta Stoicea; Barbara Rogers
Journal:  Front Public Health       Date:  2016-09-12
  7 in total

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