Population-based cohort analyses of the bidirectional relationship between type 2 diabetes and depression

Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial

BACKGROUND

Comorbid depression is a significant challenge for safety-net primary care systems. Team-based collaborative depression care is effective, but complex system factors in safety-net organizations impede adoption and result in persistent disparities in outcomes. Diabetes-Depression Care-management Adoption Trial (DCAT) evaluated whether depression care could be significantly improved by harnessing information and communication technologies to automate routine screening and monitoring of patient symptoms and treatment adherence and allow timely communication with providers.

OBJECTIVE

The aim of this study was to compare 6-month outcomes of a technology-facilitated care model with a usual care model and a supported care model that involved team-based collaborative depression care for safety-net primary care adult patients with type 2 diabetes.

METHODS

DCAT is a translational study in collaboration with Los Angeles County Department of Health Services, the second largest safety-net care system in the United States. A comparative effectiveness study with quasi-experimental design was conducted in three groups of adult patients with type 2 diabetes to compare three delivery models: usual care, supported care, and technology-facilitated care. Six-month outcomes included depression and diabetes care measures and patient-reported outcomes. Comparative treatment effects were estimated by linear or logistic regression models that used generalized propensity scores to adjust for sampling bias inherent in the nonrandomized design.

RESULTS

DCAT enrolled 1406 patients (484 in usual care, 480 in supported care, and 442 in technology-facilitated care), most of whom were Hispanic or Latino and female. Compared with usual care, both the supported care and technology-facilitated care groups were associated with significant reduction in depressive symptoms measured by scores on the 9-item Patient Health Questionnaire (least squares estimate, LSE: usual care=6.35, supported care=5.05, technology-facilitated care=5.16; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.02); decreased prevalence of major depression (odds ratio, OR: supported care vs usual care=0.45, technology-facilitated care vs usual care=0.33; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.007); and reduced functional disability as measured by Sheehan Disability Scale scores (LSE: usual care=3.21, supported care=2.61, technology-facilitated care=2.59; P value: supported care vs usual care=.04, technology-facilitated care vs usual care=.03). Technology-facilitated care was significantly associated with depression remission (technology-facilitated care vs usual care: OR=2.98, P=.04); increased satisfaction with care for emotional problems among depressed patients (LSE: usual care=3.20, technology-facilitated care=3.70; P=.05); reduced total cholesterol level (LSE: usual care=176.40, technology-facilitated care=160.46; P=.01); improved satisfaction with diabetes care (LSE: usual care=4.01, technology-facilitated care=4.20; P=.05); and increased odds of taking an glycated hemoglobin test (technology-facilitated care vs usual care: OR=3.40, P<.001).

CONCLUSIONS

Both the technology-facilitated care and supported care delivery models showed potential to improve 6-month depression and functional disability outcomes. The technology-facilitated care model has a greater likelihood to improve depression remission, patient satisfaction, and diabetes care quality.

The association of depression and diabetes across methods, measures, and study contexts

Background

Empirical research has revealed a positive relationship between type 2 diabetes mellitus and depression, but questions remain regarding timing of depression measurement, types of instruments used to measure depression, and whether “depression” is defined as clinical depression or depressive symptoms. The present study sought to establish the robustness of the depression-diabetes relationship across depression definition, severity of depressive symptoms, recent depression, and lifetime depression in a nationally representative dataset and a large rural dataset.

Methods

The present examination, conducted between 2014 and 2015, used two large secondary datasets: the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2008 (n = 3072) and the Arthritis, Coping, and Emotion Study (ACES) from 2002 to 2006 (n = 2300). Depressive symptoms in NHANES were measured using the Patient Health Questionnaire 9-item survey (PHQ-9). ACES used the Center for Epidemiologic Studies—Depression Scale (CES-D) to measure depressive symptoms and the Composite International Diagnostic Interview (CIDI) to measure diagnosable depression. Diabetes was modelled as the dichotomous outcome variable (presence vs. absence of diabetes). Logistic regression was used for all analyses, most of which were cross-sectional. Analyses controlled for age, ethnicity, sex, education, and body mass index, and NHANES analyses used sample weights to account for the complex survey design. Additional analyses using NHANES data focused on the addition of health behavior variables and inflammation to the model.

Results

NHANES. Every one-point increase in depressive symptoms was associated with a 5% increase in odds of having diabetes [OR: 1.05 (CI: 1.03, 1.07)]. These findings persisted after controlling for health behaviors and inflammation. ACES. For every one-point increase in depressive symptom score, odds of having diabetes increased by 2% [OR: 1.02 (CI: 1.01, 1.03)]. Recent (past 12 months) depression [OR: 1.49, (CI: 1.03, 2.13)] and lifetime depression [OR: 1.40 (CI: 1.09, 1.81)] were also significantly associated with having diabetes.

Conclusions

This study provides evidence for the robustness of the relationship between depression or depressive symptoms and diabetes and demonstrates that depression occurring over the lifetime can be associated with diabetes just as robustly as that which occurs more proximal to the time of study measurement.

The association between low level of high-density lipoprotein cholesterol and mood disorder using time-dependent analysis

BACKGROUND

Although many studies have identified factors associated with mood disorder, the association between high-density lipoprotein cholesterol (HDL-C) and mood disorder is still controversial. The aim of our study was to evaluate the association between low HDL-C and onset of mood disorder in Korea based on different cut-off levels.

METHODS

We used National Health Examinations Service cohort data from 2009 to 2013. We used time-dependent Cox regression analysis to evaluate the association between low level of HDL-C and onset of mood disorder. Hazard ratios (HRs) for onset of mood disorder were estimated for 1- to 2-year time intervals, starting at the first health examination and accounting for the duration until the next health examination.

RESULTS

A total of 400,803 participants (male: 220,573; female: 180,230) were included in our study. A total of 4576 (2.07%) males and 7598 (4.22%) females developed mood disorder. Based on dyslipidemia (< 40mg/dL), low level of HDL-C was associated with the risk of mood disorder in both male and female, however, only females showed statistically significant (HR: 1.097, 95% CI: 1.012-1.189). Based on quartile-based approach, females with low levels of HDL-C (< 47mg/dL) and males with high levels of HDL-C (≥ 59mg/dL) were associated with subsequent risk of mood disorder.

CONCLUSIONS

Our findings suggest that level of HDL-C is associated with potential risk factors in mood disorder. However, a flexible threshold value in HDL-C level would be needed to evaluate the subsequent risk of mood disorder. Thus, further studies are needed to help improve the mental health in susceptible individuals.

Parental History of Diabetes, Positive Affect, and Diabetes Risk in Adults: Findings from MIDUS

BACKGROUND

Family history of diabetes is one of the major risk factors for diabetes, but significant variability in this association remains unexplained, suggesting the presence of important effect modifiers.

PURPOSE

To our knowledge, no previous work has examined whether psychological factors moderate the degree to which family history of diabetes increases diabetes risk.

METHODS

We investigated the relationships among parental history of diabetes, affective states (positive affect, negative affect, and depressed affect), and diabetes in 978 adults from the MIDUS 2 national sample.

RESULTS

As expected, parental history of diabetes was associated with an almost threefold increase in diabetes risk. We found a significant interaction between positive affect and parental history of diabetes on diabetes (p = .009): higher positive affect was associated with a statistically significant lower relative risk for diabetes in participants who reported having a parental history of diabetes (RR = .66 per unit increase in positive affect; 95 % CI = .47; .93), but it did not influence diabetes risk for participants who reported no parental history of diabetes (p = .34). This pattern persisted after adjusting for an extensive set of health and sociodemographic covariates and was independent of negative and depressed affect.

CONCLUSIONS

These results suggest that psychological well-being may protect individuals at increased risk from developing diabetes. Understanding such interactions between non-modifiable risk factors and modifiable psychological resources is important for delineating biopsychosocial pathways to diabetes and informing theory-based, patient-centered interventions to prevent the development of diabetes.

Depression with inflammation: longitudinal analysis of a proposed depressive subtype in community dwelling older adults

OBJECTIVE

It has been proposed that inflammation may be causally related to depression. If this is the case, it may be possible to distinguish an inflammatory depressive subtype according to illness course, pattern of co-morbidity and symptom profile.

METHODS

Eight hundred and eleven community dwelling older adults with depression (8 item Center for Epidemiologic Studies scale ≥ 4) from the English Longitudinal study of Ageing (ELSA) were followed for a median of 47 months. Participants with depression and inflammation (C Reactive Protein > 3 mg/l) were compared to those with depression alone.

RESULTS

In a longitudinal analysis, depression with associated inflammation was more likely to persist over time. This association was independent of baseline depression severity and medical co-morbidity (OR 1.47 95% CI 1.03 - 2.10, p = 0.034) but was no longer significant following further adjustment for body mass index (OR 1.37 95% CI 0.94 - 2.01, p = 0.106). Inflammation either partially or completely mediated the association between medical co-morbidity, body mass index and depression at follow-up. Depression with inflammation was associated with more amotivation, less sadness, greater medical co-morbidity and higher body mass index.

CONCLUSIONS

Our findings provide some support for an inflammatory contribution to depression. This subgroup has a worse prognosis and may benefit from interventions targeting co-morbidity, body mass index and associated inflammation. Copyright © 2016 John Wiley & Sons, Ltd.

Quantitative assessment of the bidirectional relationships between diabetes and depression

Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases.

Hemoglobin A1c Variability Predicts Symptoms of Depression in Elderly Individuals With Type 2 Diabetes

OBJECTIVE

This study aimed to analyze the relationship of variability in hemoglobin A_1c (HbA_1c) over years with subsequent depressive symptoms.

RESEARCH DESIGN AND METHODS

Subjects (n = 837) were participants of the Israel Diabetes and Cognitive Decline (IDCD) study, which aimed to examine the relationship of characteristics of long-term type 2 diabetes with cognitive decline. All pertain to a diabetes registry established in 1998, which contains an average of 18 HbA_1c measurements per subject. The results presented here are based on the IDCD baseline examination. Symptoms of depression were assessed using the 15-item version of the Geriatric Depression Scale (GDS). To quantify the association between variability in glycemic control (measured as the SD of HbA_1c measurements [HbA_1c-SD]) since 1998 with the number of depression symptoms at IDCD baseline, incidence rate ratios (IRRs) and corresponding 95% CIs were estimated via negative binomial regression modeling and used to account for the overdispersion in GDS scores.

RESULTS

Subjects' ages averaged 72.74 years (SD 4.63 years), and the mean number of years in the diabetes registry was 8.7 (SD 2.64 years). The mean GDS score was 2.16 (SD 2.26); 10% of subjects had a GDS score ≥6, the cutoff for clinically significant depression. Mean HbA_1c significantly correlated with HbA_1c-SD (r = 0.6625; P < 0.0001). The SD, but not the mean, of HbA_1c measurements was significantly associated with the number of subsequent depressive symptoms. For each additional 1% increase in HbA_1c-SD, the number of depressive symptoms increased by a factor of 1.31 (IRR = 1.31 [95% CI 1.03-1.67]; P = 0.03).

CONCLUSIONS

Variability in glycemic control is associated with more depressive symptoms.

Onset of Multiple Chronic Conditions and Depressive Symptoms: A Life Events Perspective

BACKGROUND

While the association between depressive symptoms and chronic illness has been the subject of many studies, little is known about whether depressive symptoms differ as a function of the illnesses people have as they transition to living with multiple chronic conditions.

METHODS

Self-reports of five diagnosed chronic conditions (arthritis, diabetes, heart disease, hypertension, and pulmonary disease) and depressive symptoms were provided by 3,396 people participating in three waves of the ORANJ BOWLSM research panel. Longitudinal multilevel modeling was used to examine the effects that transitioning to having a diagnosis of multiple chronic conditions has on depressive symptoms.

RESULTS

Between 2006 and 2014, controlling for age, gender, income, race, and a lifetime diagnosis of depression, people who transitioned to having a diagnosis of multiple chronic conditions had significantly higher levels of depressive symptoms than people who did not make this transition. The diagnosis of arthritis, diabetes, heart disease, and pulmonary disease, but not hypertension had independent effects, increasing depressive symptoms.

CONCLUSIONS

Having a diagnosis of multiple chronic conditions leads to increases in depressive symptoms, but not all illnesses have the same effect. Findings highlight the need for clinicians to be aware of mental health risks in patients diagnosed with multiple chronic conditions, particularly those with a diagnosis of arthritis, diabetes, heart disease, and pulmonary disease. Clinical care providers should take account of these findings, encouraging psychosocial supports for older adults who develop multiple chronic conditions to minimize the negative psychological impact of illness diagnosis.

Verapamil Use Is Associated With Reduction of Newly Diagnosed Diabetes Mellitus

OBJECTIVE

The mechanism of the beneficial effect of calcium-channel blockers (CCBs), especially verapamil, on the development of type 2 diabetes mellitus (T2DM) has been described. This study compared the incidence of T2DM in adults prescribed oral verapamil and propensity score-matched adults prescribed other oral CCBs.

METHODS

This retrospective population-based cohort study used Taiwan's National Health Insurance Research Database from 2000 to 2011. T2DM was defined according to the International Classification of Diseases, Ninth Revision, Clinical Modification.

RESULTS

During follow-up periods of 41,958 and 42,118 person-years, 269 of 4930 patients in the verapamil cohort and 340 of 4930 patients in the matched cohort, respectively, developed T2DM. The incidence rates were 6.41 and 8.07 per 1000 population per year among verapamil and other CCB users, respectively. The adjusted hazard ratio (HR) for T2DM associated with use of verapamil (vs. other CCBs) was 0.80 [95% confidence interval (CI), 0.68 to 0.94; P = 0.006]. After exclusion of patients followed for <180 days or <365 days (to avoid bias derived from delayed diagnosis), adjusted HRs remained significant [0.79 (95% CI, 0.67 to 0.93; P = 0.005) and 0.77 (95% CI, 0.65 to 0.91; P = 0.002), respectively]. Only the interaction term for age was significant (P = 0.009). Verapamil had a more prominent effect on patients aged older than 65 years (P < 0.001).

CONCLUSIONS

In patients with no known history of diabetes mellitus, oral verapamil use was associated with a decreased incidence of T2DM compared with other CCBs.

Association between Chronic Kidney Disease and Risk of Cataract: A Nationwide Retrospective Cohort Study

BACKGROUND

Previous studies have established a relationship between chronic kidney disease (CKD) and cataract, but the relationship between the severity of renal impairment and risk of cataract is uncertain. This study investigates the relationship between the severity of renal disease and cataract in a nationwide sample from Taiwan.

METHODS

The cohort from 1-million National Health Insurance beneficiaries from Taiwan was retrospectively analyzed. All adult beneficiaries were followed from January 1, 2005 until December 31, 2013, to identify patients who underwent cataract surgeries. On the basis of the ambulatory care records, those diagnosed with CKD (ICD-9-CM code: 585) during the follow-up period were enrolled as CKD patients after careful evaluation. Each patient with CKD was age- and gender-matched with 4 individuals who did not have CKD. Cox regression models were applied to compare the hazard of cataract surgery in individuals with and without CKD. Subgroup analysis was used to compare patients with end-stage renal disease (ESRD) with age- and gender-matched non-CKD individuals. ESRD was defined by CKD patients who need regular renal replacement therapy. The same method was applied to evaluate hazard ratios (HRs).

RESULTS

After age and gender matching, there were 11,881 patients in the CKD group and 47,524 in the non-CKD group. After control for possible confounding, the adjusted HR (aHR) of cataract was 1.84 (95% CI 1.73-1.95) for the CKD group. Subgroup analysis of patients with ESRD (n = 3,209) and non-CKD individuals (n = 12,836), with matching done on the basis of age and gender, indicated an aHR of cataract was 2.33 (95% CI 2.10-2.59) for the ESRD group.

CONCLUSIONS

This study indicates a relationship between CKD and cataract, and suggests that the risk for cataract increases with the severity of renal impairment.

Assessing Whether the Association Between Sleep Apnea and Diabetes is Bidirectional

OBJECTIVES

To determine whether there is a bidirectional association between sleep apnea and diabetes mellitus.

METHODS

We conducted longitudinal analyses of a population-based cohort over 12 years using Taiwan's national universal health insurance database. In analysis I, we included 102 355 individuals without type 2 diabetes mellitus at baseline and estimated the hazard ratio of incident diagnosis of type 2 diabetes mellitus for patients with and those without sleep apnea. In analysis II, we included 258 053 participants without sleep apnea at baseline and calculated the hazard ratio of developing sleep apnea for patients with and those without type 2 diabetes.

RESULTS

In analysis I, the incidence rates of type 2 diabetes were 17.7 and 11.1 per 1000 person-years for patients with and those without sleep apnea, respectively. Patients with sleep apnea had an increased risk for diabetes (adjusted hazard ratio [aHR] = 1.33; 95% confidence interval [CI], 1.22 to 1.46). In analysis II, the risk for sleep apnea with diabetes was not statistically significant (aHR = 1.06; 95% CI, 0.98 to 1.16). These associations in both analyses did not substantively change after accounting for various latent periods.

CONCLUSIONS

Baseline sleep apnea is associated with incident type 2 diabetes; however, the presence of type 2 diabetes cannot predict the development of sleep apnea.

A longitudinal study of depression and gestational diabetes in pregnancy and the postpartum period

AIMS/HYPOTHESIS

Depression and glucose intolerance commonly co-occur among non-pregnant individuals; however, the temporal relationship between gestational diabetes (GDM) and depression during pregnancy and the postpartum period is less understood. Our objective was to assess longitudinal associations between depression early in pregnancy and GDM risk, as well as GDM and subsequent risk of postpartum depression.

METHODS

Data came from the prospective National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort (2009-2013), and had been collected at 12 US clinical centres. Pregnant women without psychiatric disorders, diabetes or other chronic conditions before pregnancy were followed throughout pregnancy (n = 2477). Only women with GDM and matched controls were followed up at 6 weeks postpartum (n = 162). GDM was ascertained by a review of the medical records. Depression was assessed in the first (8-13 gestational weeks) and second (16-22 weeks) trimesters and at 6 weeks postpartum using the Edinburgh Postnatal Depression Scale. Postpartum depression was defined as a depressive symptom score ≥10 or antidepressant medicine use after delivery. RR and 95% CI were adjusted for pre-pregnancy BMI and other risk factors. GDM was considered to be the outcome for the first set of analyses, with depression in the first and second trimesters as the exposures. Postpartum depression was considered as the outcome for the second set of analyses, with GDM as the exposure.

RESULTS

Overall, comparing the highest and lowest quartiles of first-trimester depression scores, the scores from the highest quartile were associated with a significant twofold (95% CI 1.06, 3.78) increased risk of GDM, but this was attenuated to 1.72-fold (95% CI 0.92, 3.23) after adjustment; the second-trimester results were similar. The risk was stronger and significant in both trimesters among non-obese women (p for trend 0.02 and 0.01, respectively), but null for obese women. Women with persistently high depression scores in both trimesters had the greatest risk of GDM (highest vs lowest quartile in both trimesters: adjusted RR 3.21, 95% CI 1.00, 10.28). GDM was associated with an adjusted 4.62-fold (95% CI 1.26, 16.98) increased risk of subsequent postpartum depression.

CONCLUSIONS/INTERPRETATION

This prospective study demonstrates a modest association between depressive symptoms early in pregnancy and an increased risk of incident GDM, as well as between GDM and subsequent postpartum depression risk, highlighting pregnancy and the postpartum period as an important susceptible time window during the life course for the interplay between depression and glucose intolerance phenotypes. GDM risk associated with elevated depressive symptoms was particularly high among non-obese women and women with symptoms persisting across the first two trimesters of pregnancy.

Increased Risk of Incident Chronic Kidney Disease, Cardiovascular Disease, and Mortality in Patients With Diabetes With Comorbid Depression

OBJECTIVE

It is not known if patients with diabetes with depression have an increased risk of chronic kidney disease (CKD). We examined the association between depression and incident CKD, mortality, and incident cardiovascular events in U.S. veterans with diabetes.

RESEARCH DESIGN AND METHODS

Among a nationally representative prospective cohort of >3 million U.S. veterans with baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2, we identified 933,211 patients with diabetes. Diabetes was ascertained by an ICD-9-CM code for diabetes, an HbA1c >6.4%, or receiving antidiabetes medication during the inclusion period. Depression was defined by an ICD-9-CM code for depression or by antidepressant use during the inclusion period. Incident CKD was defined as two eGFR levels <60 mL/min/1.73 m2 separated by ≥90 days and a >25% decline in baseline eGFR. The associations between depression and outcomes were assessed using Cox proportional regression.

RESULTS

Depression was present in 340,806 patients at enrollment. Depressed patients were younger (61 ± 11 vs. 65 ± 11 years), had higher eGFR (84 ± 15 vs. 81 ± 14 mL/min/1.73 m2), but had more comorbidities. Incident CKD developed in 180,343 patients. Depression was associated with 20% higher risk of incident CKD (adjusted hazard ratio [aHR] and 95% CI: 1.20 [1.19-1.21]). Similarly, depression was associated with increased all-cause mortality (aHR and 95% CI: 1.25 [1.24-1.26]).

CONCLUSIONS

The presence of depression in patients with diabetes is associated with higher risk of developing CKD compared with nondepressed patients. Intervention studies should determine if effective treatment of depression in patients with diabetes would prevent major renal and cardiovascular complications.

NUT CONSUMPTION IS ASSOCIATED WITH DEPRESSIVE SYMPTOMS AMONG CHINESE ADULTS

BACKGROUND

Affective disorders, especially depressive symptoms, bring such a burden to mortality and morbidity that they are associated with physical and psychological health and quality of life. Nuts, a foodstuff rich in multiple micronutrients, macronutrients, and other useful components, were considered to be a protector against depressive symptoms. Here, we conducted an analysis to examine the relationship between nut consumption and depressive symptoms.

METHODS

The study performed a cross-sectional study to examine whether nut consumption is related to depressive symptoms among 13,626 inhabitants in Tianjin. Nut consumption was assessed using a validated food frequency questionnaire and depressive symptoms was assessed using the Chinese version of 20-item Self-rating Depression Scale (SDS) with four cutoffs (40, 45, 48, and 50) to indicate elevated depressive symptoms.

RESULTS

The prevalence of depressive symptoms was 38.7, 19.1, 11.4, and 7.3% for SDS ≥40, 45, 48, and 50, respectively. After adjustments for potential confounding factors, the odds ratios (95% confidence interval) of having elevated depressive symptoms with SDS ≥40 by increasing frequency of nut consumption were 1.00 for <once per week (reference), 0.82 (0.75, 0.90) for 1-3 times per week, and 0.82 (0.73, 0.92) for ≥4 times per week. Similar relations were observed with the use of other cutoffs as a definition of depressive symptoms.

CONCLUSION

The present study is the first to find that nut consumption is independently associated with depressive symptoms. It is suggested that nut consumption may be beneficial to the prevention of depressive symptoms.

Metabolic pathways in the periphery and brain: Contribution to mental disorders?

The association between mental disorders and diabetes has a long history. Recent large-scale, well-controlled epidemiological studies confirmed a link between diabetes and psychiatric illnesses. The scope of this review is to summarize our current understanding of this relationship from a molecular perspective. We first discuss the potential contribution of diabetes-associated metabolic impairments to the etiology of mental conditions. Then, we focus on possible shared molecular risk factors and mechanisms. Simple comorbidity, shared susceptibility loci, and common pathophysiological processes in diabetes and mental illnesses have changed our traditional way of thinking about mental illness. We conclude that schizophrenia and affective disorders are not limited to an imbalance in dopaminergic and serotoninergic neurotransmission in the brain. They are also systemic disorders that can be considered, to some extent, as metabolic disorders.

Inverse relationship between ambient temperature and admissions for diabetic ketoacidosis and hyperglycemic hyperosmolar state: A 14-year time-series analysis

This study aimed to investigate the association of admissions for diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) with ambient temperature and season, respectively in patients with diabetes mellitus (DM), after excluding known co-morbidities that predispose onset of acute hyperglycemia events. This was a time series correlation analysis based on medical claims of 40,084 and 33,947 episodes of admission for DKA and HHS, respectively over a 14-year period in Taiwan. These episodes were not accompanied by co-morbidities known to trigger incidence of DKA and HHS. Monthly temperature averaged from 19 meteorological stations across Taiwan was correlated with monthly rate of admission for DKA or HHS, respectively, using the 'seasonal Autoregressive Integrated Moving Average' (seasonal ARIMA) regression method. There was an inverse relationship between ambient temperature and rates of admission for DKA (β=-0.035, p<0.001) and HHS (β=-0.016, p<0.001), despite a clear decline in rates of DKA/HHS admission in the second half of the study period. We also noted that winter was significantly associated with increased rates of both DKA (β=0.364, p<0.001) and HHS (β=0.129, p<0.05) admissions, as compared with summer. On the other hand, fall was associated with a significantly lower rate of HHS admission (β=-0.016, p<0.05). Further stratified analyses according to sex and age yield essentially similar results. It is suggested that meteorological data can be used to raise the awareness of acute hyperglycemic complication risk for both patients with diabetes and clinicians to further avoid the occurrence of DKA and HHS.

Depression Screening in Diabetes Care to Improve Outcomes

Purpose

Evidence-based guidelines recommend regular depression screening among individuals with type 2 diabetes mellitus (T2DM). The purpose of this study is to examine depression screening patterns among a primary care population with T2DM, through use of the Patient Health Questionnaire-9 (PHQ-9).

Methods

In total, 1817 patients with T2DM were analyzed through a retrospective observational study at 2 sites, a regional health center and a federally qualified health center (FQHC). The T2DM sample was divided into those with and without a major depressive disorder (MDD) diagnosis. Depression screening rates and depression severity were assessed through the PHQ-9.

Results

Both sites had higher rates of PHQ-9 screening among individuals with a history of MDD (64.82%) vs those without MDD (11.39%). Individuals from the FQHC without a history of depression had a higher mean PHQ-9 score (10.11) than those with a previous MDD diagnosis at both RHS and FQHC (7.16 and 9.85, respectively).

Conclusions

Depression screening rates among individuals with diabetes and no history of MDD were remarkably low. Patients with diabetes but no MDD diagnosis who sought health care at a FQHC clinic had more depressive symptoms than those with a history of MDD at both sites. Individuals with diabetes and who have a MDD diagnosis are much more likely to receive regular depression screening than those without MDD, which leaves a substantial proportion of patients with undetected depression. Depression screening must be enhanced for all individuals with diabetes, particularly for low-income individuals and those without a previous diagnosis of MDD.

Depression treatment decreases healthcare expenditures among working age patients with comorbid conditions and type 2 diabetes mellitus along with newly-diagnosed depression

BACKGROUND

There are many studies in the literature on the association between depression treatment and health expenditures. However, there is a knowledge gap in examining this relationship taking into account coexisting chronic conditions among patients with diabetes. We aim to analyze the association between depression treatment and healthcare expenditures among adults with Type 2 Diabetes Mellitus (T2DM) and newly-diagnosed depression, with consideration of coexisting chronic physical conditions.

METHODS

We used multi-state Medicaid data (2000-2008) and adopted a retrospective longitudinal cohort design. Medical conditions were identified using diagnosis codes (ICD-9-CM and CPT systems). Healthcare expenditures were aggregated for each month for 12 months. Types of coexisting chronic physical conditions were hierarchically grouped into: dominant, concordant, discordant, and both concordant and discordant. Depression treatment categories were as follows: antidepressants or psychotherapy, both antidepressants and psychotherapy, and no treatment. We used linear mixed-effects models on log-transformed expenditures (total and T2DM-related) to examine the relationship between depression treatment and health expenditures. The analyses were conducted on the overall study population and also on subgroups that had coexisting chronic physical conditions.

RESULTS

Total healthcare expenditures were reduced by treatment with antidepressants (16 % reduction), psychotherapy (22 %), and both therapy types in combination (28 %) compared to no depression treatment. Treatment with both antidepressants and psychotherapy was associated with reductions in total healthcare expenditures among all groups that had a coexisting chronic physical condition.

CONCLUSIONS

Among adults with T2DM and chronic conditions, treatment with both antidepressants and psychotherapy may result in economic benefits.

Genetic overlap between type 2 diabetes and depression in Swedish and Danish twin registries

A bidirectional association between type 2 diabetes (T2DM) and depression has been consistently reported. Depression is associated with worse biomedical outcomes and increased mortality. The mechanisms underlying the association of T2DM with depression remain unclear. One possible question we can address is the extent to which the co-occurrence of diabetes and depression is due to correlated genetic and/or environmental risk factors. In this study, we performed structural equation model fitting to population-level data from the Swedish (n=68 606) and Danish (n=95 403) twin registries. The primary outcomes were clinical diagnosis of T2DM and depression using national hospital discharge registries. The phenotypic correlation between T2DM and depression is modest in both samples. In the Swedish sample, unique environmental effects explain a greater proportion of the covariance in males, whereas the association is primarily attributed to genetic effects in females. In the Danish sample, genetic effects account for the majority of the covariance in both males and females. Qualitative genetic sex differences are observed in both samples. We believe this is the first study to demonstrate significant genetic overlap between T2DM and depression.

Effect of glycemic control on the risk of pancreatic cancer: A nationwide cohort study

Although the relationship between diabetes and pancreatic cancer has been studied, the effects of glycemic control on pancreatic cancer have never been evaluated. This study investigates the relationship between glycemic control and pancreatic cancer.Data from 1 million National Health Insurance beneficiaries were screened. The study cohort consisted of 46,973 diabetic patients and 652,142 nondiabetic subjects. Of the patients with diabetes, 1114 who had been admitted for hyperglycemic crisis episodes were defined as having poorly controlled diabetes. All adult beneficiaries were followed from January 1, 2005 to December 31, 2013, to determine whether pancreatic cancer was diagnosed. The Cox regression model was applied to compare the adjusted hazards for potential confounders.After controlling for age, sex, urbanization level, socioeconomic status, chronic liver disease, hypertension, coronary artery disease, hyperlipidemia, malignancies, smoking, chronic obstructive pulmonary disease, obesity, history of alcohol intoxication, chronic renal insufficiency, biliary tract disease, chronic pancreatitis, Charlson Comorbidity Index score, and high-dimensional propensity score, the adjusted hazard ratio of pancreatic cancer was 2.53 (95% confidence interval 1.96-3.26) in patients with diabetes. In diabetic patients with poor glycemic control, the hazard ratio of pancreatic cancer was significantly higher (hazard ratio 3.61, 95% confidence interval 1.34-9.78).This cohort study reveals a possible relationship between diabetes and pancreatic cancer. Moreover, poorly controlled diabetes may be associated with a higher possibility of pancreatic cancer.

Incidence of Depression and Associated Factors in Patients With Type 2 Diabetes in Quebec, Canada: A Population-Based Cohort Study

It has been reported that the risk of depression is higher among people with type 2 diabetes compared with a nondiabetic population. Among diabetic patients, depression has been associated with worse self-care behaviors, poor glycemic control, and an increased risk of diabetes complications. Identifying factors associated with the occurrence of depression may help physicians identify earlier diabetic patients at a high risk of developing depression, improve prevention, and accelerate proper treatment. To our knowledge, very few population-based studies have reported on the incidence of clinically diagnosed depression as a consequence of type 2 diabetes over a long follow-up period. The objective of this study was to estimate the incidence of clinically diagnosed depression among type 2 diabetic patients newly treated with oral antidiabetic drugs (ADs) and to identify factors associated with the occurrence of depression.Administrative claims data from the public health insurance plan were used to identify a cohort of new oral AD users aged ≥18 years between 2000 and 2006. Patients were followed from oral AD treatment initiation until the diagnosis of depression, ineligibility for the public drug plan, death, or the end of the study, whichever came first. Incidence rates were determined using person-time analysis. Factors associated with depression were identified using multivariable Cox regression analysis.We identified 114,366 new oral AD users, of which 4808 had a diagnosis of depression. The overall incidence rate of depression was 9.47/1000 person-years (PYs) (10.72/1000 PYs for women and 8.27/1000 PYs for men). The incidence of depression was higher during the year after oral AD treatment initiation. Independent factors associated with depression included having had mental disorders other than depression, hospitalization, a higher number of different drugs taken and of physicians visited during the year before oral AD initiation. Moreover, we observed a statistically significant age-by-socioeconomic status interaction.The incidence of diagnosed depression is higher during the first year after oral AD treatment initiation. Clinicians could pay particular attention to women, patients starting an AD at a young age, those with a low socioeconomic status, and especially those with a history of anxiety or dementia.

The role of sigma-1 receptor and brain-derived neurotrophic factor in the development of diabetes and comorbid depression in streptozotocin-induced diabetic rats

RATIONALE

Depression is highly prevalent in diabetes (DM). Brain-derived neurotrophic factor (BDNF) which is mainly regulated by the endoplasmic reticulum chaperon sigma-1 receptor (S1R) plays a relevant role in the development of depression.

OBJECTIVES

We studied the dose-dependent efficacy of S1R agonist fluvoxamine (FLU) in the prevention of DM-induced depression and investigated the significance of the S1R-BDNF pathway.

METHODS

We used streptozotocin to induce DM in adult male rats that were treated for 2 weeks p.o. with either different doses of FLU (2 or 20 mg/bwkg) or FLU + S1R antagonist NE100 (1 mg/bwkg) or vehicle. Healthy controls were also enrolled. Metabolic, behaviour, and neuroendocrine changes were determined, and S1R and BDNF levels were measured in the different brain regions.

RESULTS

In DM rats, immobility time was increased, adrenal glands were enlarged, and thymuses were involuted. FLU in 20 mg/bwkg, but not in 2 mg/bwkg dosage, ameliorated depression-like behaviour. S1R and BDNF protein levels were decreased in DM, while FLU induced SIR-BDNF production. NE100 suspended all effects of FLU.

CONCLUSIONS

We suggest that disturbed S1R-BDNF signaling in the brain plays a relevant role in DM-induced depression. The activation of this cascade serves as an additional target in the prevention of DM-associated depression.

Depressive symptoms and glycated hemoglobin A1c: a reciprocal relationship in a prospective cohort study

BACKGROUND

The aim of this study was to evaluate the dynamic association between depressive symptoms and glycated hemoglobin A1c (HbA1c) levels using data from the English Longitudinal Study of Ageing (ELSA).

METHOD

The sample was comprised of 2886 participants aged ⩾50 years who participated in three clinical assessments over an 8-year period (21% with prediabetes and 7% with diabetes at baseline). Structural equation models were used to address reciprocal associations between depressive symptoms and HbA1c levels and to evaluate the mediating effects of lifestyle-related behaviors and cardiometabolic factors.

RESULTS

We found a reciprocal association between depressive symptoms and HbA1c levels: depressive symptoms at one assessment point predicted HbA1c levels at the next assessment point (standardized β = 0.052) which in turn predicted depressive symptoms at the following assessment point (standardized β = 0.051). Mediation analysis suggested that both lifestyle-related behaviors and cardiometabolic factors might mediate the association between depressive symptoms and HbA1c levels: depressive symptoms at baseline predicted lifestyle-related behaviors and cardiometabolic factors at the next assessment, which in turn predicted HbA1c levels 4 years later. A similar association was observed for the other direction: HbA1c levels at baseline predicted lifestyle-related behaviors and cardiometabolic factors at the next assessment, which in turn predicted depressive symptoms 4 years later.

CONCLUSIONS

Our results suggest a dynamic relationship between depressive symptoms and HbA1c which might be mediated by both lifestyle and cardiometabolic factors. This has important implications for investigating the pathways which could link depressive symptoms and increased risk of diabetes.

Association Between Zolpidem and Suicide: A Nationwide Population-Based Case-Control Study

OBJECTIVE

To evaluate the association between zolpidem and the risk of suicide.

PATIENTS AND METHODS

In this nationwide case-control study, the case group comprised 2199 people who committed suicide or were hospitalized due to suicide attempt between January 1, 2002, and December 31, 2011. To create a control group, we randomly selected 10 people matched to each case according to age, sex, urbanization, and occupation. We measured the risk of suicide/suicide attempt in association with zolpidem exposure by using adjusted odds ratios (ORs) and assessed the dose-response effect of zolpidem.

RESULTS

After adjustment for potential confounders such as the comorbidities of schizophrenia, major depression, bipolar disorder, anxiety, insomnia, substance use, and other mental disorders, the Charlson comorbidity index, and use of benzodiazepine or antidepressants, zolpidem exposure was found to be significantly associated with the risk of suicide/suicide attempt with an OR of 2.08 (95% CIs, 1.83-2.36). The risk increased with the level of zolpidem use. The ORs (95% CIs) for cumulative defined daily doses of less than 90, 90 to 179, and 180 mg or more were 1.90 (1.65-2.18), 2.07 (1.59-2.67), and 2.81 (2.33-3.38), respectively (for trend, P<.001). Subgroup analyses showed that the exposure to zolpidem consistently increased the OR in different age groups, sex, urbanization level, occupation, mental disorders, and Charlson comorbidity index levels and in groups of people with or without the presence of insomnia.

CONCLUSION

This study demonstrated a significant association between using zolpidem and suicide or suicide attempt in people with or without comorbid psychiatric illnesses (all P<.05).

Patients With Neurogenic Lower Urinary Tract Dysfunction Following Spinal Cord Injury Are at Increased Risk of Developing Type 2 Diabetes Mellitus: A Population-Based Cohort Study

To investigate whether patients with neurogenic lower urinary tract dysfunction (NLUTD) following spinal cord injury (SCI) are at increased risk of developing type 2 diabetes mellitus (T2DM).The retrospective cohort study used a subset of the Taiwan National Health Insurance Research Database (NHIRD) comprising information on 2 million beneficiaries randomly sampled from the general population. A total of 3515 patients with newly diagnosed SCI were identified during the period of 2001 to 2008. Among them, 170 developed NLUTD following SCI. The control group was consisted of 656 patients without NLUTD over the study period randomly selected by matching NLUTD cases on the date of NLUTD incidence, age, sex, and duration since diagnosis of SCI. The study groups were then followed to the end of 2009. T2DM was the end-point.The incidence rate ratios of T2DM were higher in the NLUTD group than in the control group (4.94 vs. 2.61 per 10,000 person-years), representing an adjusted hazard ratio (AHR) of 1.70 (95% confidence interval [CI] 1.11-2.61). Age-specific AHR was significantly elevated only in patients aged > = 60 years (AHR = 2.52 (95% CI 1.35-4.70)).This study showed that the NLUTD following SCI may significantly increase the risk of developing T2DM.

Lifetime depression history and depression risk in type 2 diabetes: A case-control study

AIMS

To assess whether a personal history of depression assists in risk prediction for depression in type 2 diabetes.

METHODS

Age- and sex-matched participants with and without diabetes from the Busselton Health Survey were assessed for current and previous depression using the 9-item Patient Health Questionnaire and the Brief Lifetime Depression Scale (BLDS). In the diabetic participants, the temporal relationship between first depression episode and diabetes onset was also explored.

RESULTS

In 184 paired participants (age 70.2±10.1years, 50% female), those with diabetes had a higher prevalence of any current depression (12.5% vs 4.3%, P<0.01) and lifetime history of major depression (30.6% vs 21.1%, P=0.06) compared to those without diabetes. After adjustment, lifetime major depression history was independently associated with any current depression in the combined sample (odds ratio (95% CI): 5.55 (3.09-9.98), P<0.001), in those with diabetes (4.17 (2.00-8.71), P<0.001), in those without diabetes (8.29 (3.24-21.23), P<0.001) and in diabetes whether sub-divided by depression first occurring before or after diabetes onset (before: 3.16 (1.38-7.24), P=0.007; after: 2.77 (1.00-7.70), P=0.051).

CONCLUSIONS

Obtaining a lifetime history of major depression using the BLDS assists in depression risk prediction in type 2 diabetes regardless of whether depression preceded diabetes onset or not.

Bidirectional Relationship Between Diabetes and Acute Pancreatitis: A Population-Based Cohort Study in Taiwan

The proposed bidirectional relationship between acute pancreatitis (AP) and diabetes has never been examined with the same source of data. Furthermore, the effects of disease severity on this relationship have not been fully evaluated. The present study employed the findings from a single database to measure the strength of the association between AP and diabetes.Findings from 1 million National Health Insurance beneficiaries were utilized. Two cohort studies with this database were selected to evaluate the linkage between diabetes and AP. The first cohort analysis addressed the risk of AP among diabetic patients and was comprised of 42,080 diabetic patients and 672,146 unexposed subjects. The second cohort analysis considered the risk of diabetes among patients with AP and enrolled 3187 patients with AP and 709259 unexposed subjects. All adult beneficiaries were followed from January 1, 2005 to December 31, 2012 to identify outcomes of interest. Cox regression models were applied to compare hazards adjusted for potential confounders.For the first cohort, the adjusted hazard ratio (HR) of AP was significantly increased by the presence of diabetes (1.72; 95% confidence interval [CI], 1.52-1.96). In diabetic patients with a history of hyperglycemic crisis episodes (HCEs), the HR was even higher (6.32; 95% CI, 4.54-8.81). For the second cohort, the adjusted HR of diabetes in patients with AP was increased compared to the general population (2.15; 95% CI, 1.92-2.41). For patients with severe AP, the HR was also higher (2.22; 95% CI, 1.50-3.29) but did not differ significantly from that for patients with nonsevere AP.The 2 cohort studies provided evidence for the bidirectional relationship between diabetes and AP. Moreover, diabetic patients with history of HCEs may be associated with higher risk of AP.

The comparative efficacy of lifestyle intervention and metformin by educational attainment in the Diabetes Prevention Program

OBJECTIVE

Educational attainment is inversely associated with type 2 diabetes risk, but it is unknown whether education impacts individuals' diabetes prevention efforts. We examined the comparative efficacy of intensive lifestyle intervention and metformin by educational attainment among participants in the Diabetes Prevention Program (DPP), an ongoing U.S. multi-site trial beginning in 1996.

METHODS

We studied 2,910 DPP participants randomized to receive lifestyle intervention, metformin, or placebo. Stratifying by educational attainment, diabetes incidence and relative risk reductions by treatment assignment were estimated using Cox proportional hazards regression.

RESULTS

47% of participants had completed college and 53% had not. Compared to placebo, lifestyle participants who had completed college demonstrated a 68% reduction in diabetes incidence (95% CI=56, 77), whereas those with less education experienced a 47% risk reduction (95% CI=29, 61). For metformin participants, college graduates experienced a 49% relative risk reduction (95% CI=33, 62), compared to 23% (95% CI=1, 41) among those with lower educational attainment. There was a statistically significant education-by-treatment interaction with incident diabetes (p=0.03).

CONCLUSIONS

Intensive lifestyle intervention and metformin have greater efficacy among highly educated individuals. Future efforts to deliver these treatments and study their dissemination may be more effective if tailored to individuals' educational background.

Diabetes and obesity not associated with 6-month remission rates for primary care patients with depression

BACKGROUND

Complex interrelationships appear to exist among depression, diabetes, and obesity, and it has been proposed that both diabetes and obesity have an association with depression.

OBJECTIVE

The purpose of our study was to explore the effect of obesity and diabetes on response to the treatment of depression. Our hypothesis was that obesity and the diagnosis of diabetes in primary care patients with depression would have no effects on depression remission rates 6 months after diagnosis.

METHODS

A retrospective chart review analysis of 1894 adult (age ≥18y) primary care patients diagnosed with major depressive disorder or dysthymia and a Patient Health Questionnaire-9 score ≥10 from January 1, 2008, through September 30, 2012. Multiple logistic regression modeling retaining all independent variables was performed for the outcome of remission (Patient Health Questionnaire-9 < 5) 6 months after diagnosis.

RESULTS

The presence of obesity (odds ratio = 0.937, 95% CI: 0.770-1.140, p = 0.514) or the diagnosis of diabetes (odds ratio = 0.740, 95% CI: 0.535-1.022, p = 0.068) did not affect the likelihood of remission, while controlling for the other independent variables.

CONCLUSIONS

In primary care patients treated for depression, the presence of diabetes or obesity at the time of diagnosis of depression does not appear to significantly affect remission of depressive symptoms 6 months after diagnosis.

Depression in persons with diabetes by age and antidiabetic treatment: a cross-sectional analysis with data from the Hordaland Health Study

BACKGROUND

Persons with diabetes have increased risk of depression, however, studies addressing whether the risk varies by age and type of antidiabetic treatment have yielded conflicting results. The aim of this study was to investigate if the association between diabetes and depression varied by type of antidiabetic treatment in a large community based sample of middle-aged (40-47 years) and older adults (70-72 years).

METHODS

Data from 21845 participants in the Hordaland Health Study (HUSK) were analyzed in a cross-sectional design. Diabetes was assessed by self-report and classified as un-medicated, treated by oral antidiabetic agents or by insulin. Depression was defined as a score ≥ 8 on the depression subscale of the Hospital Anxiety and Depression Scale and/or self-reported use of antidepressant agents. Associations between diabetes and depression were estimated using logistic regression.

RESULTS

Persons in their forties with diabetes had a doubled prevalence of depression (OR: 1.96 (95% C.I.: 1.35, 2.83)) compared to persons without diabetes, while a lower and non-significant association was found among persons in their seventies. Persons in their forties with orally treated diabetes had about three times higher prevalence of depression (OR: 2.92 (95% C.I.: 1.48, 5.77)) after adjustment for gender, BMI, physical activity, alcohol consumption and education, compared to non-diabetic persons in the same age-group. No association between depression and insulin or un-medicated diabetes was found.

CONCLUSIONS

Clinicians should be aware that persons in their forties with orally treated diabetes are at a marked increased risk of depression.

Awareness of Prediabetes and Diabetes among Persons with Clinical Depression

Background. Major depressive disorder (MDD) is highly comorbid with diabetes, a relationship underappreciated by clinicians. Purpose. Examine the proportion of nonpregnant individuals ≥20 years with MDD and elevated glucose and the demographic and clinical characteristics associated with unrecognized elevated glucose. Methods. 14,373 subjects who participated in the National Health and Nutrition Examination Survey (2007-2012) completed the PHQ-9 depression screen and had hemoglobin A1C (HbA1c) measured. PHQ-9 scores ≥10 and HbA1c scores ≥5.7% were defined as MDD and elevated HbA1c, respectively. Data were analyzed using complex survey sampling software. Results. 38.4% of the sample with MDD had elevated HbA1c readings. Compared with nondepressed subjects, they were significantly more likely to have elevated glucose readings (P = 0.003) and to be aware of their elevated glucose levels if they had a higher body mass index, family history of diabetes, more doctor visits in the past year, a usual care source, health insurance, or were taking hypertension or hypercholesterolemia medications. Conclusions. Many adults with MDD have elevated HbA1c levels, have never been advised of elevated HbA1c, have not received diabetes screening, and have minimal contact with a healthcare provider. Additional opportunities for diabetes risk screening in people with MDD are needed.

Influence of depression on cardiometabolic responses to a lifestyle intervention in at-risk individuals

BACKGROUND

Cardiometabolic diseases and depression are public health problems that are often related. The benefits of behavioral interventions on lifestyle are well documented. However, the influence of depression in these interventions is unclear.

OBJECTIVE

To evaluate whether depression affects the impact of a lifestyle intervention on cardiometabolic response in an at-risk sample.

METHODS

129 individuals identified by the public health system to be at risk for cardiometabolic disease were allocated to 18-month interventions on diet and physical activity. Socio-demographic and clinical data were obtained. Depressive symptoms were assessed by the Beck Depression Inventory. Changes by at least 10% in each of 6 cardiometabolic risk factors were used to define responses to intervention. Logistic regression models were employed for each gender.

RESULTS

Approximately 42% of individuals had depressive symptoms. They had higher adiposity, cholesterol, and blood pressure levels and lower quality of life and physical activity levels than non-depressed individuals. In adjusted models, only women with depression at baseline had lower chance of improving plasma glucose (OR: 0.32) and lower chance of improving mean blood pressure (OR: 0.29) after the follow-up, compared with non-depressed women.

LIMITATIONS

The small sample size may have diminished the power of the results and the instrument used to measure depression does not provide clinical diagnosis according to DSM criteria.

CONCLUSION

Depression at baseline of lifestyle interventions predicted a lower chance of improving long-term cardiometabolic risk, particularly in women, suggesting that screening and management of depression as part of lifestyle interventions can potentially improve cardiometabolic risk profile.

Incidence and risk of depression associated with diabetes in adults: evidence from longitudinal studies

This meta-analysis examined depression as a consequence of diabetes by conducting a meta-analysis, using data from longitudinal studies. Databases were systematically searched for relevant studies. Incidence of depression is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR) and CIP. The 16 studies selected for review generated 16 datasets of which 11 studies reporting binary estimates (RR) and 5 studies reporting time-to-event estimates [hazard ratio (HR)]. Both RR and HR were significant at 1.27 (95% CI 1.17-1.38) and 1.23 (95% CI 1.08-1.40) for incident depression associated with diabetes mellitus. Our observations also revealed greater cumulative incidence of depression in diabetes than in non diabetes groups. Our study shows that diabetes is a significant risk factor for the onset of depression.

Mortality of patients with type 2 diabetes in Taiwan: a 10-year nationwide follow-up study

AIMS

This study aims to investigate the distribution of underlying-causes-of-death (UCOD) among deceased patients with type 2 diabetes mellitus (DM) in Taiwan and assess the influence of socio-demographic characteristics on mortality in type 2 DM patients.

METHODS

A cohort study on patients who sought medical care for type 2 DM from 2000 to 2008 was conducted on 65,599 type 2 DM patients retrieved from the 1-million beneficiaries randomly selected from Taiwan's National Health Insurance Database. The study cohort was then linked to Taiwan's Mortality Registry to ascertain the patients who died between 2000 and 2009. We examined the distribution of UCOD in the deceased subjects. The hazard ratios of mortality in relation to socio-demographic characteristics were estimated from Cox proportional hazard model.

RESULTS

The leading causes of death in type 2 DM included neoplasm (22.68%), cardiovascular diseases (21.46%), and endocrine diseases (20.78%). Male gender and older ages were associated with significantly increased risk of mortality. In addition, lower urbanization and greater co-morbidity score were also significantly associated with an increased risk of mortality with a dose-gradient pattern.

CONCLUSIONS

Neoplasm accounts for the largest portion (22.68%) of deaths in type 2 DM patients closely followed by with cardiovascular diseases (21.46%). An increased risk of mortality in type 2 DM patients in lower urbanized areas may reflect poor diabetes care in these areas.

Is depression a risk factor for diabetic foot ulcers? 11-years follow-up of the Nord-Trøndelag Health Study (HUNT)

AIM

To prospectively examine whether depressive symptoms increase the risk of diabetes and a diabetic foot ulcer.

METHODS

The Nord-Trøndelag Health Study (HUNT) is a community-based longitudinal study. The Hospital Anxiety and Depression Scale (HADS-D subscale) assessed depressive symptoms. We followed individuals with complete HADS-D data from HUNT2 (1995-97) and assessed whether they reported diabetes with or without a history of diabetic foot ulcer (DFU) in HUNT3 (2006-08) (n=36,031). Logistic regression was used to investigate the effect of depressive symptoms on subsequent development of diabetes and of DFU.

RESULTS

Unadjusted odds for reporting diabetes at follow-up was higher among individuals who reported a HADS-D score≥8 at baseline (OR 1.30 95% CI, 1.07-1.57) than among those reporting a lower score. After adjusting for age, gender and BMI, this association was no longer significant. The odds of developing a DFU was almost two-fold (OR=1.95 95% CI, 1.02-3.74) for those reporting a HADS-D score of 8-10, and 3-fold (OR=3.06 95% CI, 1.24-7.54) for HADS-D scores≥11, compared to HADS-D scores<8, after adjusting for age, gender and serum glucose.

CONCLUSIONS

Symptoms of depression at baseline are associated with an increased risk of a diabetic foot ulcer in a dose response manner during this 11-year follow-up.

Nonglycemic targets in diabetes

In conclusion, targets for patients with diabetes have actually become simpler with the release of new guidelines. The targets discussed in this article are summarized in Box 3. Finally, as clinicians and patients with diabetes struggle with the overwhelming burden of care, clinicians should consider the increasingly codified ethic of minimally disruptive medicine, which considers not just what patients and doctors can do but what patients' priorities, wishes, and needs are rather than the many specialist tests and treatment options available. Finding the balance may be easier with the new evidence-based and more straightforward guidelines.

Prevalence of depression in type 2 diabetes mellitus

BACKGROUND

The relationship between depression and diabetes has been widely documented but there have been methodological limitations such as the failure to conduct a diagnostic interview of the depressive condition. We have estimated the prevalence of depression in patients with type 2 diabetes mellitus (DM2) and its relationship with sociodemographic, lifestyle and clinical variables.

PATIENTS AND METHODS

This was a cross-sectional, randomized study (stratified by sex and age) of patients with DM2 treated in a healthcare area with approximately 3000 eligible patients. The depressive symptoms were assessed using the Beck Depression Inventory (depression defined as a BDI score>16) and a psychiatric interview. We used a multivariate logistic regression model to evaluate the association between depression and DM2, after adjusting for known risk factors.

RESULTS

We examined 275 patients with DM2 (mean age, 64.5 years; men, 56.4%). The prevalence of depression was calculated at 32.7% (95% CI 27.4-38.5) and increased with age. A greater prevalence of depression was found in women, widowers, patients with obesity, those with poor compliance with the prescription, those with poor glycemic control and those who developed complications from diabetes. Thirty-five percent (95% CI 26.4-45.8) of the patients who scored>16 on the BDI scale had not been diagnosed with depression.

CONCLUSIONS

Depression is highly prevalent in patients with DM2, especially in women. For approximately one-third of the patients, a diagnosis of depression had not been reached.

A pattern of unspecific somatic symptoms as long-term premonitory signs of type 2 diabetes: findings from the population-based MONICA/KORA cohort study, 1984-2009

BACKGROUND

Unspecific symptoms often proceed a serious chronic disease condition long before the onset of the disease. The role of an unspecific premonitory symptom (UPMS) pattern as premonitory signs of subsequent type 2 diabetes mellitus (T2DM) diagnosis independent of established cardio-metabolic risk factors is unclear and therefore was examined in the present study.

METHODS

The study population consisted of 10,566 participants aged 25-74 years at baseline drawn from the population-based MONICA/KORA Cohort Study conducted in 1984-2009 in the Augsburg region (Germany). Unspecific premonitory symptoms were assessed following the Somatic Symptom Scale-8 (SSS-8). The impact of the score on T2DM risk within a mean follow-up time of 16 years was estimated by Cox regression.

RESULTS

Within follow-up, 974 newly diagnosed T2DM cases were observed. The risk for T2DM increased by a hazard ratio (HR) of 1.03 (95% CI 1.01-1.04, p value < 0.001) for a one unit increase of the UPMS score in a Cox model adjusted for age, sex and survey. Additional adjustment for cardio-metabolic risk factors attenuated this effect (HR = 1.02) but significance remained (p value = 0.01).

CONCLUSIONS

Suffering from an elevated burden of unspecific somatic symptoms is associated with T2DM long before the onset and independent of established cardio-metabolic risk factors. Further research is needed to obtain insight in potential underlying pathophysiological mechanisms.

Prevalence and risk factors of arthritis in a middle-aged and older Chinese population: the China health and retirement longitudinal study

OBJECTIVES

The aims of this study were to estimate the prevalence of arthritis and to identify risk factors of arthritis in a middle-aged and older Chinese adult population.

METHODS

The China Health and Retirement Longitudinal Study (CHARLS) national survey data were used to estimate overall arthritis prevalence and prevalence by age and gender groups taking into account the complex survey design and response rate. The PROC SURVEYLOGISTIC procedure (SAS 9.3; SAS Institute, Cary, NC, USA) was applied to identify factors associated with arthritis using the CHARLS national survey data. Significant factors were further evaluated in the longitudinal CHARLS pilot study.

RESULTS

The overall prevalence of arthritis among middle-aged and older Chinese adults was 31.4% (95% CI 30.3, 32.4). Prevalence increased with age. Females had a higher prevalence of arthritis than males in each age group. In the cross-sectional analysis, age, gender, education, BMI, sleep duration, vigorous physical activity and self-reported doctor-diagnosed chronic lung disease, hypertension, chronic liver disease, cardiovascular disease, stroke, chronic kidney disease and chronic digestive disease were associated with arthritis. Age, gender, vigorous physical activity and cardiovascular disease were confirmed to be risk factors of arthritis in the longitudinal analysis. Participants with cardiovascular disease were 1.67 times (95% CI 1.02, 2.74) more likely to have self-reported arthritis in a 4-year period of follow-up in the CHARLS pilot study.

CONCLUSION

Middle-aged and older Chinese adults had a high prevalence of arthritis. Cardiovascular disease is a novel risk factor for arthritis in this population.

Associations between DSM-IV mental disorders and diabetes mellitus: a role for impulse control disorders and depression

AIMS/HYPOTHESIS

No studies have evaluated whether the frequently observed associations between depression and diabetes could reflect the presence of comorbid psychiatric conditions and their associations with diabetes. We therefore examined the associations between a wide range of pre-existing Diagnostic Statistical Manual, 4th edition (DSM-IV) mental disorders with self-reported diagnosis of diabetes.

METHODS

We performed a series of cross-sectional face-to-face household surveys of community-dwelling adults (n = 52,095) in 19 countries. The World Health Organization Composite International Diagnostic Interview retrospectively assessed lifetime prevalence and age at onset of 16 DSM-IV mental disorders. Diabetes was indicated by self-report of physician's diagnosis together with its timing. We analysed the associations between all mental disorders and diabetes, without and with comorbidity adjustment.

RESULTS

We identified 2,580 cases of adult-onset diabetes mellitus (21 years +). Although all 16 DSM-IV disorders were associated with diabetes diagnosis in bivariate models, only depression (OR 1.3; 95% CI 1.1, 1.5), intermittent explosive disorder (OR 1.6; 95% CI 1.1, 2.1), binge eating disorder (OR 2.6; 95% CI 1.7, 4.0) and bulimia nervosa (OR 2.1; 95% CI 1.3, 3.4) remained after comorbidity adjustment.

CONCLUSIONS/INTERPRETATION

Depression and impulse control disorders (eating disorders in particular) were significantly associated with diabetes diagnosis after comorbidity adjustment. These findings support the focus on depression as having a role in diabetes onset, but suggest that this focus may be extended towards impulse control disorders. Acknowledging the comorbidity of mental disorders is important in determining the associations between mental disorders and subsequent diabetes.

Incidence and risk of diabetes mellitus associated with depressive symptoms in adults: evidence from longitudinal studies

AIMS

We estimated the incidence and risk of diabetes associated with depressive symptoms using data from longitudinal studies.

MATERIALS AND METHODS

Databases were systematically searched for relevant studies. Incidence of diabetes is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR).

RESULTS

The 16 studies selected for review generated 16 datasets of which 8 studies reporting binary estimates (RR) and 8 studies reporting time-to-event estimates (hazard ratio (HR)). Both RR and HR were significant at 1.67 (95% CI: 1.30-2.15) and 1.45 (95% CI: 1.12-1.87) for incident diabetes associated with depressive symptoms.

CONCLUSION

Our observations revealed greater cumulative incidence of diabetes in depressed than in non depressed groups. Depression should be included among risk factors that required regular screening for diabetes.

Effect of gender and diabetes on major depressive disorder using heart rate asymmetry

In this study, we have investigated how heart rate asymmetry (HRA) changes in major depressive disorder (MDD) subjects with comorbid diabetes as well as in male and female. Depression score was determined based on PHQ-9 questionnaire and from 135 subjects 70 subjects were selected with 1000 or more RR intervals. Heart rate asymmetry is a Poincaré plot based nonlinear technique to analyze the asymmetry using RR interval time-series signal. Three commonly used HRA indices Guzik's index (GI), Porta's index (PI) and Ehlers' index (EI) were used to understand the changes in HRA in MDD. Results indicate significantly (p<;0.05) different GI and EI values between 'Dep' and 'NonDep' subgroups in 'Combined' group. All three HRA indices are found significantly different in presence of depression in female subjects. These results provide better understanding about changes in HRA in MDD and HRA indices could be a plausible nonlinear HRV feature for differentiating Depression 'Dep' from NonDepression `NonDep' group - i) without comorbid diabetes; ii) in Female subjects.