Evidence map›Paper›PMID 26167205›Full record

ArticleDiabetology & metabolic syndrome2015

Prevalence and influencing factors of co-morbid depression in patients with type 2 diabetes mellitus: a General Hospital based study.

Weijun Zhang, Huiwen Xu, Shuliang Zhao, Shinan Yin, Xiaohua Wang, Jing Guo, Shengfa Zhang, Huixuan Zhou, Fugang Wang, Linni Gu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  11. Depressive symptoms among older adults with diabetes mellitus: a cross-sectional study.Sao Paulo medical journal = Revista paulista de medicina · 2022
    Observational
  12. Article
  13. Article
  14. Stress, Anxiety, and Depression for Chinese Residents in Japan during the COVID-19 Pandemic.International journal of environmental research and public health · 2021
    Article
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  17. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Weijun Zhang *School of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Huiwen Xu *Department of Public Health Sciences, University of Rochester School of Medicine & Dentistry, Rochester, NY 14642 USA.
Shuliang ZhaoSchool of Public Administration, Yunnan University of Finance and Economics, Kunming, 650221 China.
Shinan YinDepartment of Endocrinology, First Affiliated Hospital of the General Hospital of the People's Liberation Army (PLA), Beijing, 100853 China.
Xiaohua WangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Jing GuoDepartment of Sociology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074 China.
Shengfa ZhangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Huixuan ZhouSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Fugang WangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Linni GuSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Lei ZhuSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Haibo YuSchool of Government, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Zhiyong QuSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Donghua TianSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, 19, Xinjiekou Wai Street, Beijing, 100875 China.
Beijing Normal University · CNUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and diabetes have been recognized as major public health issues in China, however, no studies to date examined the factors associated with the development of depression in patients with diabetes in China. This study aimed to estimate the prevalence of co-morbid depression among adults with type 2 diabetes mellitus (DM) and to examine the influence factors of co-morbid depression in a group of patients with type 2 DM.

methodsThe study was conducted from March l to May 31, 2012, in the Department of Endocrinology of the First Affiliated Hospital of the General Hospital of the People's Liberation Army (PLA). A systematic random sample of 412 type 2 DM patients aged over 18 years was selected. A structured questionnaire was used for collecting the information about socio-demographic data, lifestyle factors and clinical characteristics. Depression and social support was evaluated by using the Chinese version of Beck Depression Inventory (BDI) and Social Support Rate Scale (SSRS), respectively. Weights and heights were measured. Hemoglobin A1c (HbA1c) was abstracted from each patient directly after the interview.

resultsOf the total sample, 142 patients had depression according to the BDI scores (BDI scores ≥14), the prevalence of co-morbid depression in this study population was 5.7 % (142/2500). Of which, 56 had major depression (BDI ≥ 21), and 86 had moderate depression (BDI ≥ 14&BDI < 21). Logistic regression analysis indicated that a high HbA1c level, a high BMI, low quality health insurance, and being single, were significantly associated with the development of depression. However, a family history of diabetes and a high social support level are likely protective factors.

conclusionsThe prevalence of co-morbid depression was 5.7 % among Chinese subjects with type 2 DM in this study. High HbA1c level, high BMI score, being single, low social support level, and low quality health insurance were associated with the presence of depression. These findings support a recommendation for routine screening and management in China for depression in patients with diabetes, especially for those in primary care, to reduce the number of the depressed or the misrecognized depressed diabetic patients.

Indexed as

DepressionPrevalenceRisk factorsType 2 diabetes mellitus

Identifiers

PMID26167205
PMCPMC4499190
OpenAlexW1487196619

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.