Prevalence of comorbid major depressive disorder in Type 2 diabetes: a meta‐analysis of comparative and epidemiological studies

Wang, F.; Wang, S.; Zong, Qiao; Zhang, Q.; Ng, Chee H.; Ungvári, Gábor S.; Xiang, Yu Tao

doi:10.1111/dme.14042

Cited by 71 publications

(58 citation statements)

References 62 publications

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“…We further constrained prevalence estimates to validated depression questionnaires that reported prevalence based on questionnaire cut‐offs, excluding studies that used clinical interviewing, which represents a more comprehensive and recommended method of assessing depression. However, a recent meta‐analysis of 26 studies that used ICD or DSM diagnostic interviewing to diagnose depression in Type 2 diabetes revealed broadly the same pattern of results as reported above. Depression prevalence was higher in Type 2 diabetes than in controls (at 14.5% in all studies, and 9.2% vs. 4.3% in 10 case–control studies comparing Type 2 diabetes and general population samples).…”

Section: Discussionsupporting

confidence: 62%

“…That said, many settings lack funding to support skilled diagnostic interviewing, as reflected by the small number of studies eligible for inclusion in Wang et al . compared with the 147 studies we were able to analyse. As such, questionnaire measures still form an important element of the evaluation of people with Type 2 diabetes.…”

Section: Discussionmentioning

confidence: 99%

“…The lower, overall prevalence estimates using diagnostic interviewing confirms that, ideally, depression should be assessed in Type 2 diabetes using interview methods. That said, many settings lack funding to support skilled diagnostic interviewing, as reflected by the small number of studies eligible for inclusion in Wang et al [41] compared with the 147 studies we were able to analyse. As such, questionnaire measures still form an important element of the evaluation of people with Type 2 diabetes.…”

Section: Limitationsmentioning

confidence: 99%

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Depression prevalence in Type 2 diabetes is not related to diabetes–depression symptom overlap but is related to symptom dimensions within patient self‐report measures: a meta‐analysis

et al. 2019

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Aim Depression is common in Type 2 diabetes, yet rates vary. Overlap between symptoms of depression and diabetes may account for this variability in depression prevalence rates. We examined to what extent depression prevalence was a function of the proportion of depression–diabetes symptom overlap (items within symptom dimensions) and sample characteristics. Methods Electronic and hand searching of published and unpublished works identified 147 eligible papers. Of 3656 screened, 147 studies (149 samples, N = 17–229 047, mean sample age 25.4–82.8 years, with 152 prevalence estimates), using 24 validated depression questionnaires were selected. Sample size, publication type, sample type, gender, age, BMI, HbA1c, depression questionnaire and prevalence rates were extracted. Results Prevalence rates ranged from 1.8% to 88% (mean = 28.30%) and were higher in younger samples, samples with higher mean HbA1c and clinic samples. Diabetes–depression symptom overlap did not affect prevalence. A higher proportion of anhedonia, cognition, cognitive, negative affect and sleep disturbance symptoms, and a lower proportion of somatic symptoms were consistently associated with higher depression prevalence. Conclusions The lack of an overall effect of diabetes–depression symptom overlap might suggest that assessment of depression in Type 2 diabetes is generally not confounded by co‐occuring symptoms. However, questionnaires with proportionally more or fewer items measuring other symptom categories were associated with higher estimates of depression prevalence. Depression measures that focus on the cardinal symptoms of depression (e.g. negative affect and cognition), limiting symptoms associated with increasing diabetes symptomatology (e.g. sleep disturbance, cognitive) may most accurately diagnose depression.

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Section: Discussionsupporting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

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Depression prevalence in Type 2 diabetes is not related to diabetes–depression symptom overlap but is related to symptom dimensions within patient self‐report measures: a meta‐analysis

et al. 2019

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“…According to the sample size equation n = Z 2 α/2 P(1-P)/δ 2 (Zhou et al, 2012), type I error (α) was set at 0.05, and Z α/2 was set at 1.96. For prevalence (P), we used a reference value of 14.5%, consistent with a previous study that estimated the prevalence of depressive disorder in patients with T2DM (Wang et al, 2019). We used 0.03 for the absolute error (δ).…”

Section: Setting and Samplementioning

confidence: 99%

The Association between Diabetes Complications, Diabetes Distress, and Depressive Symptoms in Patients with Type 2 Diabetes Mellitus

et al. 2020

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This study investigated the association between diabetes complications, diabetes distress, and depressive symptoms in patients with type 2 diabetes mellitus. A total of 600 patients with type 2 diabetes mellitus were included in this study. Data were collected using the Diabetes Distress Scale and the nine-item Patient Health Questionnaire. The results showed that both diabetes complications and diabetes distress were positively associated with depressive symptoms, and diabetes distress attenuated the association between diabetes complications and depressive symptoms. The Sobel test confirmed the mediating effect of diabetes distress. Patients with both diabetes complications and diabetes distress had a higher risk of depressive symptoms than those with diabetes complications or diabetes distress alone. This study indicates that the positive association between diabetes complications and depressive symptoms is persistent and mediated by diabetes distress, and the comorbidity of diabetes complications and diabetes distress has an additive interaction effect on depressive symptoms.

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“…Results of several developing countries' epidemiological studies showed the prevalence of depression in T2DM ranged from 34% to 54% [19][20][21] . 28% T2DM patients have depression at different degrees [22] , and 14.5% have major depressive disorder [23] . In China, relevant epidemiological investigations have also been carried out in quantity.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Risk Factors of Depression in Chinese Patients With Type 2 Diabetes Mellitus: a Protocol of Systematic Review and Meta-analysis

LIU

Chen²,

Jiang³

et al. 2020

Preprint

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Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.

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Prevalence of comorbid major depressive disorder in Type 2 diabetes: a meta‐analysis of comparative and epidemiological studies

Cited by 71 publications

References 62 publications

Depression prevalence in Type 2 diabetes is not related to diabetes–depression symptom overlap but is related to symptom dimensions within patient self‐report measures: a meta‐analysis

Depression prevalence in Type 2 diabetes is not related to diabetes–depression symptom overlap but is related to symptom dimensions within patient self‐report measures: a meta‐analysis

The Association between Diabetes Complications, Diabetes Distress, and Depressive Symptoms in Patients with Type 2 Diabetes Mellitus

Prevalence and Risk Factors of Depression in Chinese Patients With Type 2 Diabetes Mellitus: a Protocol of Systematic Review and Meta-analysis

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