Association between major depressive episode and risk of type 2 diabetes: A large prospective cohort study in Chinese adults

The multimorbidity association of metabolic syndrome and depression on type 2 diabetes: a general population cohort study in Southwest China

Background

Metabolic syndrome(MetS) and depression are independently associated with type 2 diabetes (T2DM) risk. However, little is known about the combined effect of MetS and depression on the risk of T2DM. The present study aims to prospectively explore the impact of MetS and depression on T2DM susceptibility among the Chinese general population.

Methods

6489 general population without T2DM adults in Southwest China were recruited from 2010 to 2012. Depression and MetS were prospectively assessed using a 9-item Patient Health Questionnaire(PHQ-9) and Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (CDS2020) during 2016-2020, respectively. Modified Poisson regression models were conducted to estimate relative risk(RR) and 95% confidence intervals (95%CI) for independent and combined associations of MetS and depression with an incidence of T2DM.

Results

During a median follow-up of 6.6 years, 678 cases of T2DM were documented. Individuals with MetS were 1.33 times more likely to develop T2DM than those without MetS. The corresponding RR(95%CI) for depression with no depression was 1.45(1.22-1.72). Notably, compared with no MetS or depression, the multivariate-adjusted RR for a combined effect of MetS and depression on the risk of T2DM was 2.11(1.39-3.22). Moreover, an increased risk of T2DM was more apparent in those ≥ 60 years, males, and overweight.

Conclusions

Individuals with multimorbidity of MetS and depression are at a higher risk of T2DM compared with those with no MetS or depression.

An analysis of risk factors for spontaneously occurring type 2 diabetes mellitus in rhesus macaques (Macaca mulatta)

BACKGROUND

Type 2 Diabetes Mellitus (T2D) is a chronic disease with a high prevalence worldwide. Human literature suggests factors beyond well-known risk factors (e.g., age, body mass index) for T2D: cytomegalovirus serostatus, season of birth, maternal age, birth weight, and depression. Nothing is known, however, about whether these variables are influential in primate models of T2D.

METHODS

Using a retrospective methodology, we identified 22 cases of spontaneously occurring T2D among rhesus monkeys at our facility. A control sample of n = 1199 was identified.

RESULTS

Animals born to mothers that were ≤5.5 years of age, and animals that showed heightened Activity and Emotionality in response to brief separation in infancy, had a greater risk for development of T2D in adulthood.

CONCLUSIONS

Knowledge of additional risk factors for T2D could help colony managers better identify at-risk animals and enable diabetes researchers to select animals that might be more responsive to their manipulations.

Serum melatonin levels in type 2 diabetic patients with depressive symptoms compared to non-depressed individuals

Background

Melatonin, mainly regulating the body's circadian rhythm, may have protective effects against type 2 diabetes mellitus (DM2)-induced depression due to its antioxidant and regulatory impact in the pathogenesis of both DM2 and depression. This study aimed to find the association of serum melatonin levels with depression in DM2 patients.

Methods

A total of 50 DM2 patients were recruited in this retrospective cross-sectional study and divided into 25 patients with depression (DM2-DP) and 25 without depression symptoms (DM2-NDP). Depression was diagnosed using the Hospital Anxiety and Depression Scale (HADS) assessment. Fasting blood samples were collected and examined for the level of serum melatonin and other biomarkers. All statistical analysis was performed by SPSS software Version 22, and a p-value less than 0.05 was considered statistically significant for all tests.

Results

The depression score was significantly lower in DM2-NDP than DM2-DP (p< 0.001). The mean weight was significantly lower in the DM2-DP group (P= 0.021). Total cholesterol, triglyceride, and anxiety scores were higher, and the melatonin level was lower in DM2-DP. The correlation of melatonin levels was positive with age, DBP, HbA1C, FBS, and TG. In contrast, it was negative with male gender, BMI, diabetes duration, SBP, TC, family history of DM, depression score, and anxiety score. However, no significant differences were seen.

Conclusion

Lower melatonin may be associated with depression and anxiety in patients with DM2. The serum melatonin level might be a strong predictor of depression in DM2 patients.

Association between depression and risk of type 2 diabetes and its sociodemographic factors modifications: A prospective cohort study in southwest China

BACKGROUND

Depression may be associated with the risk of developing type 2 diabetes. The goal of this study was to explore the association of severe of depression with the risk of type 2 diabetes in adults in Guizhou, China.

METHODS

A 10-year prospective cohort study of 7158 nondiabetes adults aged 18 years or older was conducted in Guizhou, southwest China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) of depression and incident type 2 diabetes. A quantile regression (QR) analytical approach were applied to evaluate the associations of PHQ-9 score with plasma glucose values.

RESULTS

A total of 739 type 2 diabetes cases were identified during a median follow-up of 6.59 years. The HR (95% CI) per 1-SD increase for baseline PHQ-9 score was 1.051 (1.021, 1.082) after multivariable adjustment. Compared with participants without depression, those with mild or more advanced depression had a higher risk of incident type 2 diabetes (HR:1.440 [95% CI, 1.095, 1.894]). Associations between depression with type 2 diabetes were suggested to be even stronger among women or participants aged ≥45 years (p < .05). There are significant positive associations of PHQ-9 score with 2-h oral glucose tolerance test blood glucose levels.

CONCLUSION

Depression significantly increased the risk of incident type 2 diabetes, especially in women, participants aged ≥45 years, Han ethnicity, and urban residents. These findings highlighted the importance and urgency of depression health care.

Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses

Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.

PHQ-9, CES-D, health insurance data-who is identified with depression? A Population-based study in persons with diabetes

AIMS

Several instruments are used to identify depression among patients with diabetes and have been compared for their test criteria, but, not for the overlaps and differences, for example, in the sociodemographic and clinical characteristics of the individuals identified with different instruments.

METHODS

We conducted a cross-sectional survey among a random sample of a statutory health insurance (SHI) (n = 1,579) with diabetes and linked it with longitudinal SHI data. Depression symptoms were identified using either the Centre for Epidemiological Studies Depression (CES-D) scale or the Patient Health Questionnaire-9 (PHQ-9), and a depressive disorder was identified with a diagnosis in SHI data, resulting in 8 possible groups. Groups were compared using a multinomial logistic model.

RESULTS

In total 33·0% of our analysis sample were identified with depression by at least one method. 5·0% were identified with depression by all methods. Multinomial logistic analysis showed that identification through SHI data only compared to the group with no depression was associated with gender (women). Identification through at least SHI data was associated with taking antidepressants and previous depression. Health related quality of life, especially the mental summary score was associated with depression but not when identified through SHI data only.

CONCLUSION

The methods overlapped less than expected. We did not find a clear pattern between methods used and characteristics of individuals identified. However, we found first indications that the choice of method is related to specific underlying characteristics in the identified population. These findings need to be confirmed by further studies with larger study samples.

Metabolic characteristics, prevalence of anxiety and its influencing factors in first-episode and drug-naïve major depressive disorder patients with impaired fasting glucose

BACKGROUND

Both major depressive disorder (MDD) and impaired fasting glucose (IFG) are associated with metabolic abnormalities and anxiety, but few studies have investigated the relationship between abnormal metabolism and anxiety in first-episode and drug-naïve (FEDN) MDD patients with IFG. This study investigated the psychological status, metabolic properties, the prevalence and influencing factors of anxiety symptoms in the FEDN MDD patients with IFG.

METHODS

A total of 1718 FEDN MDD outpatients were recruited. Sociodemographic and suicide data were collected for each participant. The Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD), and Hamilton Anxiety Rating Scale (HAMA) were used to assess patients' clinical symptoms. Fasting blood glucose, lipids, body mass index (BMI), and thyroid function-related indicators were also measured.

RESULTS

FEDN MDD patients with IFG (IFG group) had higher psychotic symptoms, suicide attempts, HAMD score, and HAMA score than FEDN MDD patients without IFG (NIFG group). There were also significant differences in blood lipids, BMI, and thyroid function indicators between the two groups. The prevalence of anxiety symptoms in the IFG group was 20.9 %, which was significantly higher than that in the NIFG group (10.4 %). Furthermore, anxiety symptoms were significantly associated with female, marital status, psychotic symptoms, suicide attempts, and low high-density lipoprotein (HDL-C).

CONCLUSION

FEDN MDD patients with anxiety who have IFG are more likely to have problems with thyroid function, lipid metabolism, psychotic symptoms and suicide attempts, especially in female patients. Prevention of these problems should be enhanced when treating such patients.

Role of depression in the development of cardiometabolic multimorbidity: Findings from the UK Biobank study

BACKGROUND

Depression has been acknowledged as a risk factor for cardiometabolic diseases, but its role in the development of cardiometabolic multimorbidity (CM) remains unclear. We aimed to prospectively investigate how depression affected the development of CM based on the UK Biobank study.

METHODS

We included 459,747 participants with none or one prior cardiometabolic disease. Depression was assessed by the clinical diagnosis and Patient Health Questionnaire (PHQ-2). CM was defined as the coexistence of two or more conditions of type 2 diabetes, stroke, and coronary heart disease (CHD). Multistate models were used to examine the role of depression in the transitions from baseline to single cardiometabolic diseases and subsequently to CM.

RESULTS

During a median follow-up of 12.07 years, we documented 3413 incident CM cases among initially disease-free participants and 7461 cases among participants with one prior cardiometabolic disease, respectively. The hazard of developing CM associated with depression was higher among disease-free individuals than that among individuals with one cardiometabolic disease (HR, 95 % CI: 1.68, 1.54-1.83 vs 1.28, 1.20-1.35). Moreover, depression was significantly associated with all transitions from baseline to diabetes (HR, 95 % CI: 1.43, 1.37-1.50), stroke (1.28, 1.20-1.38), and CHD (1.35, 1.31-1.40). After the onset of these cardiometabolic diseases, the HR values (95 % CIs) of progression to CM were 1.26 (1.09-1.46) for diabetes, 1.43 (1.16-1.76) for stroke, and 1.23 (1.08-1.40) for CHD.

CONCLUSIONS

Depression was an independent risk factor for CM, and adversely influenced the whole progression from disease-free status to CM.

Higher IL-6 and IL-4 plasma levels in depressed elderly women are influenced by diabetes mellitus

OBJECTIVE

This study aimed at investigating a set of peripheral cytokines in elderly female patients with MDD, comparing them to controls, and assessing the potential influence of clinical comorbidities on inflammatory markers.

METHODS

Twenty-five elderly female patients diagnosed with MDD and 19 age-matched female controls were enrolled on this study. Plasma levels of interleukin (IL)-4, IL-6, IL-10, interferon (IFN)-γ and tumor necrosis factor (TNF)-α were evaluated with commercially-available assays.

RESULTS

Elderly female patients with MDD exhibited higher plasma IL-6 and IL-4 levels when compared to controls. In a logistic regression model taking cytokine levels, comorbidities, and age into account, only type 2 diabetes mellitus (DM2) remained associated with MDD.

CONCLUSION

Diabetes influences the association between MDD and higher levels of cytokines in elderly female patients. Future studies should take this evidence into account in order to mitigate confounding factors.

Comorbidity of Type 2 Diabetes Mellitus and Depression: Clinical Evidence and Rationale for the Exacerbation of Cardiovascular Disease

Depression is a common comorbidity of type 2 diabetes mellitus (T2DM). T2DM with comorbid depression increases the risk of cardiovascular events and death. Depression and T2DM and its macrovascular complications exhibited a two-way relationship. Regarding treatment, antidepressants can affect the development of T2DM and cardiovascular events, and hypoglycemic drugs can also affect the development of depression and cardiovascular events. The combination of these two types of medications may increase the risk of the first myocardial infarction. Herein, we review the latest research progress in the exacerbation of cardiovascular disease due to T2DM with comorbid depression and provide a rationale and an outlook for the prevention and treatment of cardiovascular disease in T2DM with comorbid depression.

Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing

OBJECTIVE

This study aims to construct and use natural language processing and other methods to analyze major depressive disorder (MDD) and radiology studies' publications in the PubMed database to understand the historical growth, current state, and potential expansion trend.

METHODS

All MDD radiology studies publications from January 2002 to January 2022 were downloaded from PubMed using R, a statistical computing language. R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication's metadata for bibliometric analysis. The generative statistical algorithm "Latent Dirichlet allocation" (LDA) was applied to identify specific research focus and trends. The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.

RESULTS

A total of 5,566 publications on MDD and radiology research were identified, and there is a rapid upward trend. The top-cited publications were 11,042, and the highly-cited publications focused on improving diagnostic performance and establishing imaging standards. Publications came from 76 countries, with the most from research institutions in the United States and China. Hospitals and radiology departments take the lead in research and have an advantage. The extensive field of study contains 12,058 Medical Subject Heading (MeSH) terms. Based on the LDA algorithm, three areas were identified that have become the focus of research in recent years, "Symptoms and treatment," "Brain structure and imaging," and "Comorbidities research."

CONCLUSION

Latent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are "Symptoms and sleep," "Brain structure study," and "functional connectivity." New progress may be made in studies on MDD complications and the combination of brain structure and metabolism.

Role of depressive symptoms in cardiometabolic diseases and subsequent transitions to all-cause mortality: an application of multistate models in a prospective cohort study

Background and purpose

The role of depression in the development and outcome of cardiometabolic diseases remains to be clarified. We aimed to examine the extent to which depressive symptoms affect the transitions from healthy to diabetes, stroke, heart disease and subsequent all-cause mortality in a middle-aged and elderly European population.

Methods

A total of 78 212 individuals aged ≥50 years from the Survey of Health Ageing and Retirement in Europe were included. Participants with any baseline cardiometabolic diseases including diabetes, stroke and heart disease were excluded. Depressive symptoms were measured by the Euro-Depression scale at baseline. Participants were followed up to determine the occurrence of cardiometabolic diseases and all-cause mortality. We used multistate models to estimate the transition-specific HRs and 95% CIs after adjustment of confounders.

Results

During 500 711 person-years of follow-up, 4742 participants developed diabetes, 2173 had stroke, 5487 developed heart disease and 7182 died. Depressive symptoms were significantly associated with transitions from healthy to diabetes (HR: 1.12, 95% CI: 1.05 to 1.20), stroke (HR: 1.31, 95% CI: 1.18 to 1.44), heart disease (HR: 1.26, 95% CI: 1.18 to 1.34) and all-cause mortality (HR: 1.41, 95% CI: 1.34 to 1.49). After cardiometabolic diseases, depressive symptoms were associated with the increased risk of all-cause mortality in patients with diabetes (HR: 1.54, 95% CI: 1.25 to 1.89), patients who had stroke (HR: 1.29, 95% CI: 1.03 to 1.61) and patients with heart disease (HR: 1.21, 95% CI: 1.02 to 1.44).

Conclusions

Depressive symptoms increase the risk of diabetes, stroke and heart disease, and affect the risk of mortality after the onset of these cardiometabolic conditions. Screening and treatment of depressive symptoms may have profound implications for the prevention and prognosis of cardiometabolic diseases.

Number of children and the prevalence of later-life major depression and insomnia in women and men: findings from a cross-sectional study of 0.5 million Chinese adults

BACKGROUND

Pregnancy and parenthood have been associated with physical and mental health. Previous literature concerning the impacts of parity on mental health was inconsistent and lack epidemiolocal evidence. China, with growing mental health problems and changing fertility patterns, faces unique challenges. This study aims to examine the relationship between parity and the prevalence of major depression and insomnia among men and women in the Chinese population.

METHODS

Baseline data from a Chinese population-based study of 512,891 adults (59.01% women) from 10 areas, aged 30-79 were analyzed. Number of children was based on self-report by the participants. Major depression (MD) was assessed using the Composite International Diagnostic Inventory. Insomnia symptoms were accessed by a questionnaire comparable to that used in the Diagnostic and Statistical Manual of Mental Disorders. Logistic regression was used to assess the relationship between MD/Insomnia and number of children, after stratifications and adjustments.

RESULTS

For women, each additional child was associated with a 9% decreased odds of MD (OR: 0.91, 95%CI: 0.88-0.96), with the associations significant for those who lived in urban areas (OR: 0.76, 95%CI: 0.70-0.83), or had a lower education (OR: 0.90, 95%CI: 0.85-0.94), or had lower household income (OR: 0.89, 95%CI: 0.85-0.94), or had ever used alcohol (OR: 0.89, 95%CI: 0.84-0.93). The association between per additional children and MD was not significant in men (OR: 1.02, 95%CI: 0.97-1.07), but a decreased odd of MD with per additional child was found in men who lived in urban areas (OR: 0.81, 95%CI: 0.71-0.96). For women, each additional child was associated with a 4% decreased odds of insomnia (OR: 0.96, 95%CI: 0.95-0.96). Each additional child was also associated with a 2% decreased odds of insomnia in men (OR: 0.98, 95%CI: 0.97-1.00).

CONCLUSIONS

MD and insomnia were inversely associated with number of children in women while the association was not overall significant in men. The association was mediated by socioeconomic and lifestyle factors. Future mental health public health programs should address parity and sex differences when designing interventions.

Depressive symptoms and disorders in type 2 diabetes mellitus

PURPOSE OF REVIEW

To examine developments in the understanding of certain aspects of depression in diabetes mellitus patients with a special focus on diabetes distress, screening of depression and its management in persons with type 2 diabetes mellitus.

RECENT FINDINGS

Recent studies reviewed indicate an increasing trend of both major and minor depression in patients with diabetes. Depression is also reported to be persistent and chronic in diabetes patients. There is a bidirectional link between depression and diabetes. Diabetes-related distress independently increases the diabetes-related complications. Collaborative care is both applicable and helpful in managing depression in diabetes.

SUMMARY

Although a significant number of patients with diabetes suffer from depression or diabetes-related distress, majority of them remain undiagnosed and untreated. This treatment gap suggests the need for routine screening for depression and distress in patients with diabetes. Studies have confirmed that treatment focussing on diabetes may alleviate depressive symptoms. Diabetes-specific psychological interventions may prove useful in improving diabetes self-management in depressed diabetes patients. Effect of specific psychopharmacological and psychological interventions in treating depression in diabetes patients should be examined in future studies.

Blood-based FTIR-ATR spectroscopy coupled with extreme gradient boosting for the diagnosis of type 2 diabetes: A STARD compliant diagnosis research

Timely diagnosis of type 2 diabetes and early intervention and treatment of it are important for controlling metabolic disorders, delaying and reducing complications, reducing mortality, and improving quality of life. Type 2 diabetes was diagnosed by Fourier transform mid-infrared (FTIR) attenuated total reflection (ATR) spectroscopy in combination with extreme gradient boosting (XGBoost). Whole blood FTIR-ATR spectra of 51 clinically diagnosed type 2 diabetes and 55 healthy volunteers were collected. For the complex composition of whole blood and much spectral noise, Savitzky-Golay smoothing was first applied to the FTIR-ATR spectrum. Then PCA was used to eliminate redundant data and got the best number of principle components. Finally, the XGBoost algorithm was used to discriminate the type 2 diabetes from healthy volunteers and the grid search algorithm was used to optimize the relevant parameters of the XGBoost model to improve the robustness and generalization ability of the model. The sensitivity of the optimal XGBoost model was 95.23% (20/21), the specificity was 96.00% (24/25), and the accuracy was 95.65% (44/46). The experimental results show that FTIR-ATR spectroscopy combined with XGBoost algorithm can diagnose type 2 diabetes quickly and accurately without reagents.

Measures of depression and risk of type 2 diabetes: A systematic review and meta-analysis

BACKGROUND

Depression is associated with an increased risk of type 2 diabetes. This study aimed to determine whether the association between depression and incident type 2 diabetes differs by measure of depression.

METHODS

Data sources included MEDLINE, EMBASE, PsycINFO, CINAHL, ProQuest Dissertations & Theses Global, Web of Science Emerging Sources Citation Index and Conference Proceedings Citation Index, Cochrane Library, the University of York Center for Reviews and Dissemination, abstracts from the PsychoSocial Aspects of Diabetes conference.

INCLUSION CRITERIA

comparison of participants with and without depression, depression measured at age 18 or older, longitudinal follow-up with an outcome of type 2 diabetes, effect estimate adjusted for important confounders, full-text available in English or French, and study at overall low or moderate risk of bias. Two reviewers extracted data and assessed study quality.

RESULTS

Twenty-one studies reporting twenty-five effect estimates were included. Depressive symptom scales, clinical interviews, physician diagnoses, and use of antidepressants were all associated with an increased risk of incident type 2 diabetes. When all measures of depression were combined, the meta-analyzed risk ratio for type 2 diabetes was 1.18 (95% CI 1.12-1.24, I²=45.4%). Results did not provide conclusive evidence that the association between depression and incident diabetes differs by measure of depression.

LIMITATIONS

Results showed heterogeneity and evidence of publication bias.

CONCLUSIONS

Results suggest that various measures of depression may be used to identify individuals at higher risk of type 2 diabetes.

Synergistic effects of depression and obesity on type 2 diabetes incidence in Chinese adults

BACKGROUND

Cross-sectional studies have supported the association among depression, obesity, and type 2 diabetes, but the causality remains controversial in Chinese adults. In this longitudinal study, we evaluated the synergistic effect of depression and obesity on the risk of type 2 diabetes.

METHODS

This study included 2809 participants randomly selected from the Qingdao Diabetes Prevention Program, and their type 2 diabetes incidence was determined over a follow-up period of 3 years. The WHO 2006 criteria and the Zung Self-Rating Depression Scale score were employed to identify type 2 diabetes and depression at baseline, respectively. Multivariable-adjusted logistic regression was used to evaluate the synergistic effects of depression and obesity indicators on type 2 diabetes, with adjustment for age, sex, family history of diabetes, and other potential risk factors.

RESULTS

During 3-year follow-up, 316 new incident cases were identified. The relative risk and 95% confidence interval of depression for diabetes incidence was 1.52 (1.05-2.21), after controlling for potential confounders. Sensitivity analysis showed that depression was significantly associated with diabetes incidence in women, younger people, and obese people (1.82 [1.14-2.92], 1.94 [1.25-3.02], and 4.29 [1.44-12.78], respectively]. The synergistic effects of positive depression and body mass index ≥30 kg/m² on type 2 diabetes incidence were observed, with a synergy index of 5.49 (1.75-17.19).

CONCLUSIONS

Depression was associated with a 52% increased risk of type 2 diabetes incidence and exerts synergistic effects with obesity on diabetes incidence in Chinese adults. Early identification and intervention for depression and obesity can reduce the risk of diabetes.

Bidirectional association between depressive symptoms and type 2 diabetes mellitus: The China Health and Retirement Longitudinal Study

OBJECTIVE

To prospectively examine the bidirectional relationship between depressive symptoms and type 2 diabetes mellitus (T2DM) among middle-aged and elderly Chinese.

METHODS

Participants were enrolled in 2011-2012 (Wave 1) and followed up in 2013-2014 (Wave 2) and 2015-2016 (Wave 3) in the China Health and Retirement Longitudinal Study. Depressive symptoms were evaluated by the Chinese language version of 10-item Center for Epidemiological Studies Depression Scale (CESD-10) at three waves. T2DM was assessed by biochemical biomarkers at Wave 1 and reported physician-diagnosis at Wave 2 and 3. Cox proportional hazards regression was applied to calculate hazard ratio (HR) and 95% confidence intervals (CIs) for the bidirectional association.

RESULTS

Participants with baseline depressive symptoms were 1.33 times as likely to develop T2DM (HR, 1.33; 95% CI: 1.06, 1.66), compared to their counterparts after adjusting for demographic characteristics and T2DM risk factors. The risk of T2DM increased linearly with higher severity of depression as determined by a higher CESD-10 score (P for trend ≪ 0.001). In addition, baseline T2DM was associated with increased risk of incident depressive symptoms (1.15; 1.00, 1.31) and persistent depressive symptoms (1.35; 1.03, 1.77).

CONCLUSION

There is a positive bidirectional association between depressive symptoms and T2DM in middle-aged and elderly Chinese.