Is depression related to subsequent diabetes mellitus?

Association of risk factors with type 2 diabetes: A systematic review

Diabetes is the leading cause of severe health complications and one of the top 10 causes of death worldwide. To date, diabetes has no cure, and therefore, it is necessary to take precautionary measures to avoid its occurrence. The main aim of this systematic review is to identify the majority of the risk factors for the incidence/prevalence of type 2 diabetes mellitus on one hand, and to give a critical analysis of the cohort/cross-sectional studies which examine the impact of the association of risk factors on diabetes. Consequently, we provide insights on risk factors whose interactions are major players in developing diabetes. We conclude with recommendations to allied health professionals, individuals and government institutions to support better diagnosis and prognosis of the disease.

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.

Sex-dependent independent prediction of incident diabetes by depressive symptoms

OBJECTIVE

To study the predictive value of depressive symptoms (DeprSs) in a general population of Turkey for type 2 diabetes.

METHODS

Responses to three questions served to assess the sense of depression. Cox regression analyses were used regarding risk estimates for incident diabetes, after exclusion of prevalent cases of diabetes. Mean follow-up consisted of 5.15 (±1.4) years.

RESULTS

Depressive symptoms were present at baseline in 16.2% of the whole study sample, threefold in women than men. Reduced physical activity grade was the only significant covariate at baseline in men, while younger age and lower blood pressure were significantly different in women compared with those without DeprS. In men, presence of DeprS predicted incident diabetes at a significant 2.58-fold relative risk (95% confidence interval 1.03; 6.44), after adjustment for age, systolic blood pressure, and antidepressant drug usage. When further covariates were added, waist circumference remained the only significant predictor, while DepS was attenuated to a relative risk of 2.12 (95% confidence interval 0.83; 5.40). DeprS was not associated with diabetes in women, whereas antidepressant drug usage only tended to be positively associated.

CONCLUSION

Gender difference existed in the relationship between DeprS and incident diabetes. DeprS predicted subsequent development of diabetes in men alone, not in women. 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.

Affect, Affective Variability, and Physical Health: Results from a Population-Based Investigation in China

BACKGROUND

There is good evidence linking positive affect with adaptive psychological and physical health outcomes and negative affect with maladaptive outcomes, in multiple contexts and samples. However, recent research has suggested that the fluctuation of emotions, known as affective variability, may also be an important correlate of individuals' health.

PURPOSE

The present study examined the relationship between affect, affective variability, and self-reported health status in a large representative sample of adults in China.

METHOD

We analyzed cross-sectional data retrieved from the World Health Organization's study on global ageing and adults' health. A total of 15,050 Chinese adults (aged between 18 and 99) from China reported their affective experiences during the previous day, perceived health, and their history of multiple chronic illnesses from their medical records (stroke, angina, diabetes, chronic lung disease, depression, and hypertension). Hierarchical multiple regression and logistic regression analyses were employed to analyze the data.

RESULTS

Independent of individuals' mean levels of affect, affective variability was negatively related to subjective health conditions and positively related to diagnosed illness status, after controlling for demographic variables. Results suggest that affective variability increases the likelihood of reported impaired health and diagnosis of affect-related illnesses such as angina and depression.

CONCLUSION

The present study highlighted the importance of studying the impact of affective variability, in addition to that of mean affect levels, on health.

Psychological health and menopause-specific quality of life of Malaysian women with type 2 diabetes

Anxiety and depression are more common among females and those experiencing diabetes and menopause. Menopausal symptoms experienced by women can vary tremendously from population to population; therefore, there is a need to investigate these symptoms and associated risk factors in different communities. This study investigated the differences in psychological health and menopause-specific quality of life (MENQOL) between women with and without diabetes type 2 (T2DM) in Malaysia. Women with T2DM (n=320) were matched by age range to controls without T2DM (n=320). Data were collected from March 2012 to January 2013. Delusions Symptoms States Inventory (DSSI) instrument was used to identify symptoms of depression and anxiety. Women with diabetes had higher depressive (11.8% versus 8.4%) and anxiety (8.4% versus 6.6%) symptoms compared to women without diabetes. In both groups, the most common menopausal symptom was aches (muscles and joints). Women without diabetes had significantly higher scores for the sexual domain compared to women with diabetes (4.20 versus 3.21, p=0.001). The odds that a postmenopausal woman with diabetes was depressed or anxious on the DSSI scale increased significantly when the MENQOL score on the physical, vasomotor, and psychosocial domains increased by one unit. Both diabetes and psychological problems have negative impact on MENQOL. Our findings support the view of screening postmenopausal women with diabetes for depressive and anxiety, to improve overall quality of life.

Depression, vascular factors, and risk of dementia in primary care: a retrospective cohort study

OBJECTIVES

To study the interaction between and timing effects of depression and vascular disorders on dementia risk.

DESIGN

Retrospective cohort study.

SETTING

Primary care practices in the south of the Netherlands.

PARTICIPANTS

Individuals in primary care aged 50 to 100 followed for 13 years (N = 35,791).

MEASUREMENTS

Medical diagnoses of incident depression, hypertension, obesity, type 2 diabetes mellitus, stroke, and dementia were extracted from a research database. Cox proportional hazards regression was used to test whether incident depression predicted dementia and its putative interactions with vascular factors.

RESULTS

In total, 1,680 participants developed dementia. Individuals with depression (n = 978) had a higher risk of dementia (adjusted hazard ratio (HR) = 2.03, 95% confidence interval (CI) = 1.56-2.64). Depression exerted most effect in participants with incident stroke (HR = 5.29, 95% CI = 2.52-11.14) or newly diagnosed hypertension (HR = 3.09, 95% CI = 1.54-6.20).

CONCLUSION

Depression in later life increases the risk of dementia. The effect is particularly high in individuals with depression and vascular disorders. Targeting late-onset depression in individuals with vascular disorders might lower dementia risk by preventing cerebrovascular changes.

Sex differences in the association between depression, anxiety, and type 2 diabetes mellitus

BACKGROUND

Depression and anxiety have been inconsistently associated with diabetes. Sex differences in the biological and behavioral correlates of these forms of distress could partially explain these inconsistencies. We investigated sex-specific associations between depression/anxiety symptoms and diabetes in two separate samples.

METHODS

The First National Health and Nutrition Examination Survey enrolled 3233 participants aged 25 to 74 years from 1971 to 1974. Depression and anxiety symptoms were measured via General Well Being schedule subscales. Incident diabetes for 17 years was defined by the following: a) death certificate, b) participant self-report, or c) health care facility discharge. The Detroit Neighborhood Health Study enrolled 1054 participants 18 years or older from 2008 to 2010. The Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 assessed depression and anxiety. Participants' self-reported physician-diagnosed prevalent diabetes.

RESULTS

In the First National Health and Nutrition Examination Survey, the risk ratio (RR; 95% confidence interval) for incident diabetes among men with high versus low anxiety symptoms was 0.85 (0.56-1.29) and that among women was 2.19 (1.17-4.09; p for interaction = .005). RRs comparing high versus low depressive symptoms for men and women were 0.69 (0.43-1.100) and 2.11 (1.06-4.19); p for interaction = .007. In the Detroit Neighborhood Health Study, the RRs for prevalent diabetes comparing those with high versus low anxiety symptoms were 0.24 (0.02-2.42) for men and 1.62 (0.61-4.32) for women (p for interaction = < .001), whereas RRs for depression were 1.30 (0.46-3.68) for men and 2.32 (1.10-4.89) for women (p for interaction = .16).

CONCLUSIONS

In two separate samples, depressive symptoms were related to increased diabetes risk among women but not men. Although less robust, findings for anxiety were differentially associated with diabetes by sex.

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.

Stress and type 2 diabetes: a review of how stress contributes to the development of type 2 diabetes

Current policy and research around type 2 diabetes (T2D) interventions largely invoke a behavioral model. We suggest that activation of the physiologic stress response (PSR) from chronic exposure to stressors, low socioeconomic status (SES), severe mental health problems, or aggressive behavior increases the risk of T2D. This article is a comprehensive review of the literature on the link between T2D and psychosocial factors focusing on prospective studies of the risk for developing diabetes. The review found an increased risk for T2D in people: exposed to stressful working conditions or traumatic events; with depression; with personality traits or mental health problems that put them in conflict with others; of low SES, either currently or in childhood; and in racial/ethnic minority populations, independent of current SES. This review suggests that T2D prevention research would be more effective if (a) the PSR to psychosocial factors (especially social disparities) was recognized and (b) intervention programs evaluated reduction in social disparities as part of a comprehensive approach.

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.

Population impact of depression either as a risk factor or consequence of type 2 diabetes in adults: a meta-analysis of longitudinal studies

This meta-analysis examined the reciprocal relationship between depression and diabetes mellitus type 2 (T2DM) by conducting a bias adjusted meta-analysis of longitudinal studies using relative and absolute risk estimates. Specifically, the data were reconstructed to compute relative risk (RR), risk difference (RD), and the number needed to be exposed for one additional person to be harmed (NNEH) or benefited (NNEB). The 25 studies selected for review generated 29 datasets of which 15 examined endpoint A (depression as a risk factor for T2DM), and 14 examined endpoint B (T2DM as a risk factor for depression). For both endpoints, there was a small relative risk increase (for both the RR and hazard ratio (HR)) though with significant heterogeneity between studies. This however translated to a non-significant NNEH of 87 (NNEB 161 to ∞ to NNEH 35) and NNEH of 233 (NNEB 28 to ∞ to NNEH 23) for studies examining endpoint A and endpoint B respectively. This study suggests that the magnitude of the relative risk increase for depression as a risk factor or consequence of T2DM is small without significant impact on absolute risk indices. While these risks may be considered in terms of individual patient management, they are unlikely to have an impact on a population perspective.

Pregnancy complications, mental health-related problems and type 2 diabetes mellitus in Malaysian women

AIMS

The aim of this study was to investigate the association between pregnancy complications, mental health-related problems, and type 2 diabetes mellitus (T2DM) in Malaysian women.

MATERIALS AND METHODS

A case-control study of women with T2DM (n=160) matched by age range to controls without T2DM (n=160). Data were collected in the Negeri Sembilan and PutraJaya regions in Malaysia, from two hospital outpatient clinics, PutraJaya Hospital and Tuanku Jaa'far Hospital Seremban, and one health clinic at Seremban. Validated, interviewer-administered questionnaires were used to obtain the data. The unadjusted and adjusted estimates were calculated using the Mantel-Haenszel method.

RESULTS

Neither depression (RR 0.74, 95% CI: 0.39-1.41) nor anxiety (RR 1.00, 95% CI: 0.53-1.88) symptoms increased the risk of T2DM significantly. However, gestational diabetes (RR 1.35, 95% CI: 1.02-1.79), and ≥3 pregnancies (RR 1.39, 95% CI: 1.08-1.79) were significant risk factors for the development of T2DM. T2DM was not a significant risk factor for either depression (RR 1.26, 95% CI: 0.91-1.74) or anxiety symptoms (RR 1.13, 95% CI: 0.59-2.19).

CONCLUSION

In this study, T2DM is not a significant risk factor for depression and anxiety; similarly, neither are depression and anxiety significant risk factors for T2DM. Although prevalence of depression and anxiety is not alarming, the findings reported here should alert clinicians to screen and treat anxiety and depression in people with diabetes and also note the importance of monitoring women with complications in pregnancy for risk of later T2DM.

Vascular risk factors and depression in later life: a systematic review and meta-analysis

Reports of the association between cardiovascular risk factors and depression in later life are inconsistent; to establish the nature of their association seems important for prevention and treatment of late-life depression. We searched MEDLINE, EMBASE, and PsycINFO for relevant cohort or case control studies over the last 22 years; 1097 were retrieved; 26 met inclusion criteria. Separate meta-analyses were performed for Risk Factor Composite Scores (RFCS) combining different subsets of risk factors, Framingham Stroke Risk Score, and single factors. We found a positive association (odds ratio [OR]: 1.49; 95% confidence interval [CI]: 1.27-1.75) between RFCS and late-life depression. There was no association between Framingham Stroke Risk Score (OR: 1.25; 95% CI: .99-1.57), hypertension (OR: 1.14; 95% CI: .94-1.40), or dyslipidemia (OR: 1.08; 95% CI: .91-1.28) and late-life depression. The association with smoking was weak (OR: 1.35; 95% CI: 1.00-1.81), whereas positive associations were found with diabetes (OR: 1.51; 95% CI: 1.30-1.76), cardiovascular disease (OR: 1.76; 95% CI: 1.52-2.04), and stroke (OR: 2.11; 95% CI: 1.61-2.77). Moderate to high heterogeneity was found in the results for RFCS, smoking, hypertension, dyslipidemia, and stroke, whereas publication bias was detected for RFCS and diabetes. We therefore found convincing evidence of a strong relationship between key diseases and depression (cardiovascular disease, diabetes, and stroke) and between composite vascular risk and depression but not between some vascular risk factors (hypertension, smoking, dyslipidemia) and depression. More evidence is needed to be accumulated from large longitudinal epidemiological studies, particularly if complemented by neuroimaging.

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

OBJECTIVE

This study addresses the strength of association for the bidirectional relationship between type 2 diabetes and depression.

RESEARCH DESIGN AND METHODS

We used two cohort studies with the same source of database to determine the link between depression and type 2 diabetes. The data analyzed included a random sample of 1 million beneficiaries selected from the National Health Insurance claims in 2000. The analysis of diabetes predicting the depression onset consisted of 16,957 diabetic patients and the same number of sex- and age-matched nondiabetic control subjects. The analysis of depression predicting diabetes onset included 5,847 depressive patients and 5,847 sex- and age-matched nondepressive control subjects. The follow-up period was between 2000 and 2006, and onset of end points was identified from ambulatory care claims. The Cox proportional hazards regression model adjusted for potential confounders was used to estimate relative hazards.

RESULTS

The first cohort analysis noted an incidence density (ID) of 7.03 per 1,000 person-years (PY) and 5.04 per 1,000 PY for depression in diabetic and nondiabetic subjects, respectively, representing a covariate-adjusted hazard ratio (HR) of 1.43 (95% CI 1.16-1.77). The second cohort analysis noted an ID of 27.59 per 1,000 PY and 9.22 per 1,000 PY for diabetes in depressive and nondepressive subjects, respectively. The covariate-adjusted HR was stronger at 2.02 (1.80-2.27) for incident diabetes associated with baseline depression.

CONCLUSIONS

The two cohort studies provided evidence for the bidirectional relationship between diabetes and depression, with a stronger association noted for the depression predicting onset of diabetes.

Diabetes incidence does not differ between subjects with and without high depressive symptoms--5-year follow-up results of the Heinz Nixdorf Recall Study

AIMS

Cross-sectional studies have consistently reported evidence for an association between diabetes and depressive disorders. However, only limited prospective studies have examined this association, reporting conflicting results. In a population-based cohort study, we compared cumulative incidences of diabetes between participants with and without high depressive symptoms.

METHOD

We analysed the 5-year follow-up data from the German Heinz Nixdorf Recall study of 3547 participants without diabetes at baseline [mean age 58.8 (sd 7.6) years, 47.5% male]. Depressive symptoms were defined using the Centre for Epidemiologic Studies Depression scale (cut point ≥ 17). Diabetes (diagnosed or previously undetected) was identified by self-reported physician-diagnosed diabetes, medication and high blood glucose levels. We estimated 5-year cumulative incidences with 95% confidence intervals and fitted multiple logistic regression models to calculate the odds ratios, adjusted for age, sex, physical activity, smoking, living with or without partner, and educational level.

RESULTS

The cumulative incidence of diabetes was 9.2% (95% CI 6.3-12.8) in participants with high depressive symptoms at baseline and 9.0% (95% CI 8.0-10.0) in participants without these symptoms. The age- and sex-adjusted odds ratio of diabetes in participants with depressive symptoms compared with those without was 1.13 [95% CI 0.77-1.68; fully adjusted 1.11 (95% CI 0.74-1.65)]. These results did not substantially change in several additional sensitivity analyses.

CONCLUSION

Our study did not show a significantly increased risk of developing diabetes in individuals with high depressive symptoms compared with those without high depressive symptoms during a 5-year follow-up period.

Evaluation of venlafaxine on glucose homeostasis and oxidative stress in diabetic mice

Depression occurs frequently with diabetes affecting the quality of life. All major classes of antidepressants have been shown to have a direct pharmacologic effect on metabolic function, which further worsens glycemic control. There were no reports on the effects of venlafaxine on glucose levels and oxidative stress in diabetic animals. The present study evaluated the effects of venlafaxine (8 and 16 mg/kg per d) on glucose homeostasis along with oxidative stress in brain in diabetic mice (streptozotocin (STZ), 40 mg/kg per d for 5 days). We observed that 21 days of administration of venlafaxine (8 and 16 mg/kg per d) in diabetic mice significantly enhanced swimming in normal and STZ-treated mice with a corresponding reduction in immobility. No significant difference in blood glucose levels was observed in diabetic and normal mice following venlafaxine treatment. Venlafaxine (16 mg/kg) reversed STZ-induced elevated thiobarbituric acid reactive substance (TBARS) levels and also restored the glutathione (GSH) levels in diabetic mice. Venlafaxine (8 and 16 mg/kg) per se does not produce any significant effect in normal animals. The results indicate a dose-dependent antidepressant action of venlafaxine in diabetes-induced depressive mice. Furthermore, the blood glucose levels were not significantly altered in normal and diabetic mice. In addition, venlafaxine exhibited a decrease in TBARS and elevation in GSH levels in mice brain. Venlafaxine drug treatment appears to be safer for depression associated with diabetes.

The relationship between psychiatric symptoms and glycemic status in a Chinese population

With the exception of depression and anxiety, there has been no study designed to evaluate the association between other psychiatric symptoms and Type 2 diabetes. The aim of this study was to investigate the relationship between different psychiatric symptoms and diabetes as well as pre-diabetes (Pre-DM) in a Chinese population. Totally, 9561 participants without a history of diabetes, depression, psychosis, use of hypnotics, and abnormal thyroid function were enrolled. Psychiatric symptoms were measured by Brief Symptoms Rating Scale questionnaire, which consists of three global indices [General Severity Index (GSI), Total Number of Positive Symptoms (PST), and Positive Symptom Distress Index (PSDI)] and ten subscales, including somatization, obsession, interpersonal sensitivity, depression, anxiety, hostility, phobia, paranoid ideation, psychoticism and additional symptoms. Different glycemic statuses included normal glucose tolerance (NGT), Pre-DM, and newly-diagnosed diabetes (NDD) group. GSI, somatization, hostility, phobia, psychoticism, and additional symptoms were the factors positively associated with NDD as well as pre-DM in an age-adjusted model. After adjustments for age, gender, body mass index, educational level, hypertension, plasma triglycerides and creatinine, smoking, alcohol use, regular exercise, marital status, and family history of diabetes mellitus, the following psychiatric symptoms were independently related to both NDD and pre-DM: GSI, PST, somatization, obsession, interpersonal sensitivity, depression, anxiety, hostility, phobia, psychoticism, and additional symptoms. In addition to depression and anxiety, global indices of psychiatric symptoms and other subscales, including somatization, obsession, interpersonal sensitivity, hostility, phobia, psychoticism and additional symptoms, may have an impact on both diabetes and Pre-DM.

Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care

The lifespan of people with severe mental illness (SMI) is shorter compared to the general population. This excess mortality is mainly due to physical illness. We report prevalence rates of different physical illnesses as well as important individual lifestyle choices, side effects of psychotropic treatment and disparities in health care access, utilization and provision that contribute to these poor physical health outcomes. We searched MEDLINE (1966 - August 2010) combining the MeSH terms of schizophrenia, bipolar disorder and major depressive disorder with the different MeSH terms of general physical disease categories to select pertinent reviews and additional relevant studies through cross-referencing to identify prevalence figures and factors contributing to the excess morbidity and mortality rates. Nutritional and metabolic diseases, cardiovascular diseases, viral diseases, respiratory tract diseases, musculoskeletal diseases, sexual dysfunction, pregnancy complications, stomatognathic diseases, and possibly obesity-related cancers are, compared to the general population, more prevalent among people with SMI. It seems that lifestyle as well as treatment specific factors account for much of the increased risk for most of these physical diseases. Moreover, there is sufficient evidence that people with SMI are less likely to receive standard levels of care for most of these diseases. Lifestyle factors, relatively easy to measure, are barely considered for screening; baseline testing of numerous important physical parameters is insufficiently performed. Besides modifiable lifestyle factors and side effects of psychotropic medications, access to and quality of health care remains to be improved for individuals with SMI.

Diabetes mellitus type II as a risk factor for depression: a lower than expected risk in a general practice setting

The aim of the present study was to determine whether a diagnosis of diabetes mellitus (DM) in a primary setting is associated with an increased risk of subsequent depression. A retrospective cohort design was used based on the Registration Network Family Practice (RNH) database. Patients diagnosed with diabetes mellitus at or after the age of 40 and who were diagnosed between 01-01-1980 and 01-01-2007 (N = 6,140), were compared with age-matched controls from a reference group (N = 18,416) without a history of diabetes. Both groups were followed for an emerging first diagnosis of depression (and/or depressive feelings) until January 1, 2008. 2.0% of the people diagnosed with diabetes mellitus developed a depressive disorder, compared to 1.6% of the reference group. After statistical correction for confounding factors diabetes mellitus was associated with an increased risk of developing subsequent depression (HR 1.26; 95% CI: 1.12–1.42) and/or depressive feelings (HR 1.33; 95% CI: 1.18–1.46). After statistical adjustment practice identification code, age and depression preceding diabetes, were significantly related to a diagnosis of depression. Patients with diabetes mellitus are more likely to develop subsequent depression than persons without a history of diabetes. Results from this large longitudinal study based on a general practice population indicate that this association is weaker than previously found in cross-sectional research using self-report surveys. Several explanations for this dissimilarity are discussed.

The prevalence of depression in white-European and South-Asian people with impaired glucose regulation and screen-detected type 2 diabetes mellitus

BACKGROUND

There is a clear relationship between depression and diabetes. However, the directionality of the relationship remains unclear and very little research has considered a multi-ethnic population. The aim of this study was to determine the prevalence of depression in a White-European (WE) and South-Asian (SA) population attending a community diabetes screening programme, and to explore the association of depression with screen-detected Type 2 diabetes mellitus (T2DM) and impaired glucose regulation (IGR).

METHODOLOGY/PRINCIPAL FINDINGS

Participants were recruited from general practices in Leicestershire (United Kingdom) between August 2004 and December 2007. 4682 WE (40-75 years) and 1327 SA participants (25-75 years) underwent an Oral Glucose Tolerance Test, detailed history, anthropometric measurements and completed the World Health Organisation-Five (WHO-5) Wellbeing Index. Depression was defined by a WHO-5 wellbeing score < or =13. Unadjusted prevalence of depression for people in the total sample with T2DM and IGR was 21.3% (21.6% in WE, 20.6% in SA, p = 0.75) and 26.0% (25.3% in WE, 28.9% in SA, p = 0.65) respectively. For people with normal glucose tolerance, the prevalence was 25.1% (24.9% in WE, 26.4% in SA, p = 0.86). Age-adjusted prevalences were higher for females than males. Odds ratios adjusted for age, gender, and ethnicity, showed no significant increase in prevalent depression for people with T2DM (OR = 0.95, 95%CI 0.62 to 1.45) or IGR (OR = 1.17, 95%CI 0.96 to 1.42).

CONCLUSIONS

Prior to the knowledge of diagnosis, depression was not significantly more prevalent in people with screen detected T2DM or IGR. Differences in prevalent depression between WE and SA people were also not identified. In this multi-ethnic population, female gender was significantly associated with depression.

The relationship between depression and diabetes mellitus: findings from the Hertfordshire Cohort Study

AIMS

To assess the relationship between depression scores and diabetes, glucose and insulin in a cross-sectional population-based study.

METHODS

One thousand, five hundred and seventy-nine men and 1418 women from the Hertfordshire Cohort Study were assessed for diabetes. Plasma glucose and insulin concentrations were measured at 0, 30 and 120 min during a standard 75-g oral glucose tolerance test. Depressive and anxiety symptoms were measured using the Hospital Anxiety and Depression Scale (HADS).

RESULTS

Overall, 431 (14.6%) were diagnosed with diabetes [232 men (14.9%) and 199 women (14.3%)]. One hundred and eight (47%) men and 74 (37%) women had known diabetes. The remainder were previously undiagnosed. Fifty-nine (3.7%) men and 65 (4.6%) women had possible depression (HAD-D scores 8-10) and 17 (1.1%) men and 20 (1.4%) women had probable depression (HAD-D scores > or = 11). Probable depression was associated with an adjusted odds ratio for diabetes of 3.89 [95% confidence interval (CI) 1.28-11.88] in men and 1.51 (95% CI 0.47-4.84) in women. In men without previously diagnosed diabetes, fasting insulin (P = 0.035), 2-h glucose concentrations (P = 0.028) and insulin resistance (P = 0.032) were significantly associated with HAD-D scores. With the exception of 2-h glucose concentrations (P = 0.034), the associations were not significant in women.

CONCLUSIONS

These data support the hypothesis that depression may increase the risk for diabetes. The relationship between depression score and metabolic variables extends across the whole population and is not confined to those with either diagnosed depression or diabetes. This relationship should lead clinicians to consider screening for diabetes in those with depression and vice versa.

Antidepressant use before and after initiation of diabetes mellitus treatment

AIMS/HYPOTHESIS

Although current literature suggests an association between diabetes and depression, the direction of the association is unclear. We examined the temporal association between diabetes and depression by studying antidepressant and benzodiazepine use around the initiation of diabetes treatment.

METHODS

From a pharmacy registry database we selected 49,593 diabetic patients and a random sample of non-diabetic individuals (n = 154,441), all >40 years old. Antidepressant and benzodiazepine use was calculated for the 7 years before and 7 years after the index date. The index date in diabetes patients was defined as the date of initiation of diabetes medication. A random index date was assigned to non-diabetic individuals. Time-specific incidence rate ratios of antidepressant and benzodiazepine use were calculated for intervals of 1 year, 3 months and 1 month.

RESULTS

Antidepressant and benzodiazepine use was increased 2 months before and 3 months after the initiation of diabetes treatment compared with non-diabetic individuals. The strongest increase in incidence of antidepressant and benzodiazepine use was seen in the month after initiation of diabetes treatment with incidence rate ratios of 2.4 (95% CI 2.0-3.0) and 3.4 (95% CI 3.0-3.8) respectively, after adjustment for age, sex and Chronic Disease Score.

CONCLUSIONS/INTERPRETATION

The increased incidence of antidepressant and benzodiazepine use may be a consequence of the burden of disease, of starting with diabetes medication or of being diagnosed with diabetes. Our findings could also reflect earlier detection by their physician.

Recent advances in understanding depression in adults with diabetes

The authors review the science linking depression with diabetes. Some recent heuristic research is identified that highlights progress in the field and is directing future research. Issues in the management of depression in diabetes are outlined, including interactions of depression and insulin resistance.

Depression and type 2 diabetes over the lifespan: a meta-analysis

OBJECTIVE

It has been argued that the relationship between depression and diabetes is bi-directional, but this hypothesis has not been explicitly tested. This systematic review examines the bi-directional prospective relationships between depression and type 2 diabetes.

RESEARCH DESIGN AND METHODS

A search was conducted using Medline for publications from 1950 through 2007. Reviewers assessed the eligibility of each report by exposure/outcome measurement and study design. Only comparative prospective studies of depression and type 2 diabetes that excluded prevalent cases of depression (for diabetes predicting depression) or diabetes (for depression predicting diabetes) were included. Two sets of pooled risk estimates were calculated using random effects: depression predicting type 2 diabetes and type 2 diabetes predicting depression.

RESULTS

Of 42 full-text publications reviewed, 13 met eligibility for depression predicting onset of diabetes, representing 6,916 incident cases. Seven met criteria for diabetes predicting onset of depression, representing 6,414 incident cases. The pooled relative risk (RR) for incident depression associated with baseline diabetes was 1.15 (95% CI 1.02-1.30). The RR for incident diabetes associated with baseline depression was 1.60 (1.37-1.88).

CONCLUSIONS

Depression is associated with a 60% increased risk of type 2 diabetes. Type 2 diabetes is associated with only modest increased risk of depression. Future research should focus on identifying mechanisms linking these conditions.

Unrecognized glucose intolerance is not associated with depression. Screening for Impaired Glucose Tolerance study 3 (SIGT 3)

AIMS

To understand the metabolic and temporal links in the relationship between diabetes and depression, we determined the association between depressive symptoms and unrecognized glucose intolerance.

METHODS

In a cross-sectional study, 1047 subjects without known diabetes were screened for diabetes or pre-diabetes using the oral glucose tolerance test and for depressive symptoms using the Patient Health Questionnaire (PHQ).

RESULTS

Mean age was 48 years, body mass index 30 kg/m(2); 63% were female, 54% black, 11% previously treated for depression and 10% currently treated; 5% had diabetes and 34% pre-diabetes. Median PHQ score was 2 (interquartile range 0-5). Depressive symptoms did not increase with worsening glucose tolerance, after adjusting for age, sex, ethnicity, body mass index, family history, exercise, education and depression treatment.

CONCLUSIONS

There is no association between depressive symptoms and unrecognized glucose intolerance. However, it remains possible that diagnosed diabetes, with its attendant health concerns, management issues, and/or biological changes, may be a risk for subsequent development of depression. Thus, patients with newly diagnosed diabetes should be counselled appropriately and monitored for the development of depression.

Anxious temperament and disease progression at diagnosis: the case of type 2 diabetes

OBJECTIVE

To examine the association between anxious temperament and disease progression at diagnosis for individuals with Type 2 diabetes mellitus (T2DM).

METHODS

A sample of 204 individuals, newly diagnosed with T2DM, completed the Behavioral Inhibition and Activation Scales (BIS/BAS) and provided an A1C reading. Regression analyses were used to predict A1C levels from individual differences in BIS and BAS.

RESULTS

Individual differences in BIS were inversely related to A1C at diagnosis in the sample as a whole, and this association remained strong after controlling for demographic variables and body mass index. Most importantly, temperamentally anxious individuals had low A1C levels at diagnosis in all age groups, in contrast to their nonanxious counterparts who showed increasing A1C at diagnosis as a function of decreasing age. BAS scores were unrelated to A1C.

CONCLUSIONS

Although older age is generally associated with lower disease progression at diagnosis, high BIS individuals show uniformly lower disease progression across all age groups. High levels of temperamental anxiety may facilitate early diagnosis of T2DM, particularly among younger individuals who are not subject to routine screening.

The influence of specific chronic somatic conditions on the care for co-morbid depression in general practice

BACKGROUND

Limited information exists on the relationship between specific chronic somatic conditions and care for co-morbid depression in primary care settings. Therefore, the present prospective, general practice-based study examined this relationship.

METHOD

Longitudinal data on morbidity, prescribing and referrals concerning 991 patients newly diagnosed with depression by their general practitioner (GP) were analysed. The influence of a broad range of 13 specific chronic somatic conditions on the initiation of any depression care, as well as the prescription of continuous antidepressant therapy for 180 days, was examined. Multilevel logistic regression analysis was used to control for history of depression, psychiatric co-morbidity, sociodemographics and interpractice variation.

RESULTS

Multilevel analysis showed that patients with pre-existing ischaemic heart disease (72.1%) or cardiac arrhythmia (59.3%) were significantly less likely to have any depression care being initiated by their GP than patients without chronic somatic morbidity (88.0%). No other specific condition had a significant influence on GP initiation of any care for depression. Among the patients being prescribed antidepressant treatment by their GP, none of the conditions was significantly associated with being prescribed continuous treatment for 180 days.

CONCLUSIONS

Our study indicates that patients with ischaemic heart disease or cardiac arrhythmia have a lower likelihood of GP initiation of any care for depression after being newly diagnosed with depression by their GP. This finding points to the importance of developing interventions aimed at supporting GPs in the adequate management of co-morbid depression in heart disease patients to reduce the negative effects of this co-morbidity.

Type of antidepressant therapy and risk of type 2 diabetes in people with depression

OBJECTIVE

The objective of this study was to evaluate the differential risk of diabetes among people with depression taking antidepressant therapy.

METHODS

A nested case control design was used to investigate the study objective. Data from the Canadian province of Saskatchewan was available from January 1, 1991 to December 31, 2001; the average length of follow-up was 4.07 years. Type 2 diabetes was identified based on ICD-9 diagnostic codes and antidiabetic medication prescriptions; prior depression was ascertained based on ICD-9 diagnostic codes and antidepressant prescriptions.

RESULTS

Multivariate logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI). We identified 2391 individuals with incident depression treated with antidepressant therapy. The mean age was 53.6 (S.D.: 16.4) and 68% were female. After multivariate adjustment, the concurrent use of selective serotonin reuptake inhibitors (SSRI) and tricyclic antidepressants (TCA) was associated with a significantly increased risk of type 2 diabetes (adjusted OR: 1.89; 95% CI: 1.35-2.65).

CONCLUSIONS

Concurrent use of TCA and SSRI was associated with an increased risk of developing type 2 diabetes compared to using TCA alone. Individuals taking combination TCA and SSRI therapy should be closely monitored for development of type 2 diabetes.

Impact of Preexisting Depression on Length of Stay and Discharge Destination Among Patients Hospitalized for Acute Stroke

Background and Purpose— There exists limited knowledge regarding the relation between depression and healthcare utilization in stroke patients. The objective of this register-based study was to examine the impact of having preexisting depression at the time of hospital admission for acute stroke on length of hospital stay and discharge destination.

Methods— Data from a general-practice database were linked to those of a hospital database to identify patients hospitalized for stroke and were used to categorize these patients into 3 groups based on preexisting mental health (MH) status at admission, ie, those with preexisting depression, those with another preexisting MH condition, and those without any preexisting MH condition. Multilevel analyses controlling for several potentially important covariates were performed to estimate the associations under study.

Results— Both patients with preexisting depression (n=41) and those with another preexisting MH condition (n=62) did not differ significantly from patients without any preexisting MH condition (n=211) regarding length of hospital stay for acute stroke. Among patients who survived hospitalization, those with preexisting depression had significantly higher odds of being discharged to an institution instead of their home than did patients without any preexisting MH condition. Having another preexisting MH condition had no significant effect on discharge destination.

Conclusions— Having preexisting depression at admission seems to be a relevant factor in determining discharge to institutional care after acute stroke hospitalization. Further research is needed to determine the mechanism(s) through which preexisting depression decreases the chances of being discharged to home.

Recent advances in understanding depression in adults with diabetes

The authors review the science linking depression with diabetes. Some recent heuristic research is identified that highlights progress in the field and is directing future research. Issues in the management of depression in diabetes are outlined, including interactions of depression and insulin resistance.

Cerebrovascular risk factors and subsequent depression in older general practice patients

BACKGROUND

This general practice-based case-control study tested the association between cerebrovascular risk factors (CVRFs) and the development of later-life depression by focusing on the impact of exposure duration to CVRFs and the modifying influence of age at depression onset.

METHODS

Cases were 286 patients aged > or = 50 years with a first diagnosis of depression at age > or = 50 years. Nondepressed controls (N=832) were individually matched for age, gender and practice. CVRF diagnoses (hypertension, diabetes mellitus, cardiovascular conditions) prior to depression were determined. Analyses controlled for education, somatic and nondepressive psychiatric disease.

RESULTS

No CVRF variable examined was significantly associated with subsequent depression in the total sample. An unexpected impact of age at onset of depression was observed: the odds ratio associated with having any CVRF was smaller for patients with age at onset > or = 70 years than for patients with onset between ages 50-59 years (p=.002) and 60-69 years (p=.067). Subsequent analyses excluding patients with onset at age > or = 70 years revealed that CVRF variables, including long-term exposure to CVRFs, significantly increased the odds of subsequent depression with onset between ages 50 and 69 years.

LIMITATIONS

Reliance on GPs' records of morbidity may have resulted in bias towards underestimation in patients with depression onset at age > or = 70 years.

CONCLUSIONS

Our findings suggest that CVRFs play a relevant role in the development of depression with onset between ages 50 and 69 years, but no evidence was found that they contribute to the occurrence of depression with onset at age > or = 70 years. Replication is warranted to exclude the possibility of bias.

The role of depression and anxiety in onset of diabetes in a large population-based study

OBJECTIVE

Recent research has shown that depression may predict incident diabetes. The aims of the study are to investigate if symptoms of depression and anxiety precede the onset of diabetes or vice versa and to examine if mediating factors may explain such associations.

METHODS

A prospective population-based study (N=37,291) investigating the associations between symptoms of depression/anxiety and diabetes was conducted.

RESULTS

Individuals reporting symptoms of depression and anxiety at baseline had increased risk of onset of type 2 diabetes at 10-year follow-up. No gender differences were found. The analyses did not reveal underlying factors that mediated the association. Baseline diagnosis of diabetes was not associated with subsequent symptoms of anxiety or depression among males or females.

CONCLUSION

Diabetes did not predict symptoms of depression or anxiety. Symptoms of depression and anxiety emerged as significant risk factors for onset of type 2 diabetes independent of established risk factors for diabetes, such as socioeconomic factors, lifestyle factors, and markers of the metabolic syndrome. The comorbidity between depression and anxiety may be the most important factor.

[Diabetes and depression--a life-endangering interaction]

In the past decade, research has increasingly discovered the relevance of depressive symptoms for the development and course of diabetes, particularly in diabetes type 2. The present paper provides an update on the present state of empirical research concerning this question.One fourth of all patients with diabetes mellitus suffer from depressive symptoms up to and including states of depressive disorders. The studies reviewed advise that depression in patients with diabetes concur with an unfavourable attitude towards the illness as well as towards treatment, a reduction in quality of life, an increased risk for the development of follow-up diseases as well as an increase in mortality risk. As a cause for the increasing risk in morbidity and mortality in depressive patients with diabetes, both neuroendocrinologic changes as well as unfavourable therapy and illness attitudes are discussed. First studies document that psychotherapeutic interventions are helpful in increasing the quality of life of depressive patients with diabetes and improving therapy behaviour.

Type 2 diabetes does not increase risk of depression

BACKGROUND

Although diabetes mellitus has a strong association with the presence of depression, it is unclear whether diabetes itself increases the risk of developing depression. The objective of our study was to evaluate whether people with diabetes have a greater incidence of depression than those without diabetes.

METHODS

We conducted a population-based retrospective cohort study using the administrative databases of Saskatchewan Health from 1989 to 2001. People older than 20 years with newly identified type 2 diabetes were identified by means of diagnostic codes and prescription records and compared with a nondiabetic cohort. Depression was ascertained via diagnostic codes and prescriptions for antidepressants. Cox regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) after adjusting for age, sex, frequency of visits to physicians and presence of comorbidities.

RESULTS

We identified 31 635 people with diabetes and 57 141 without. Those with diabetes were older (61.4 v. 46.8 yr; p < 0.001), were more likely to be male (55.4% v. 49.8%; p < 0.001) and had more physician visits during the year after their index date (mean 14.5 v. 5.9; p < 0.001). The incidence of new-onset depression was similar in both groups (6.5 v. 6.6 per 1000 person-years among people with and without diabetes, respectively). Similarity of risk persisted after controlling for age, sex, number of physician visits and presence of prespecified comorbidities (adjusted HR 1.04, 95% CI 0.94- 1.15). Other chronic conditions such as arthritis (HR 1.18) and stroke (HR 1.73) were associated with the onset of depression.

INTERPRETATION

Using a large, population-based administrative cohort, we found little evidence that type 2 diabetes increases the risk of depression once comorbid diseases and the burden of diabetes complications were accounted for.

Disease-focused or integrated treatment: diabetes and depression

This article reviewed the literature on the adverse health outcomes of the coexistence of diabetes and depression, the challenges of treating coexisting diabetes and depression in a fragmented health care system, and the need for integrated care as a strategy to improve the quality of care for patients who have complex medical illnesses (eg, patients who have coexisting diabetes and depression).

Multi-target strategies for the improved treatment of depressive states: Conceptual foundations and neuronal substrates, drug discovery and therapeutic application

Major depression is a debilitating and recurrent disorder with a substantial lifetime risk and a high social cost. Depressed patients generally display co-morbid symptoms, and depression frequently accompanies other serious disorders. Currently available drugs display limited efficacy and a pronounced delay to onset of action, and all provoke distressing side effects. Cloning of the human genome has fuelled expectations that symptomatic treatment may soon become more rapid and effective, and that depressive states may ultimately be "prevented" or "cured". In pursuing these objectives, in particular for genome-derived, non-monoaminergic targets, "specificity" of drug actions is often emphasized. That is, priority is afforded to agents that interact exclusively with a single site hypothesized as critically involved in the pathogenesis and/or control of depression. Certain highly selective drugs may prove effective, and they remain indispensable in the experimental (and clinical) evaluation of the significance of novel mechanisms. However, by analogy to other multifactorial disorders, "multi-target" agents may be better adapted to the improved treatment of depressive states. Support for this contention is garnered from a broad palette of observations, ranging from mechanisms of action of adjunctive drug combinations and electroconvulsive therapy to "network theory" analysis of the etiology and management of depressive states. The review also outlines opportunities to be exploited, and challenges to be addressed, in the discovery and characterization of drugs recognizing multiple targets. Finally, a diversity of multi-target strategies is proposed for the more efficacious and rapid control of core and co-morbid symptoms of depression, together with improved tolerance relative to currently available agents.

Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis

AIMS/HYPOTHESIS

Evidence strongly suggests that depression and type 2 diabetes are associated, but the direction of the association is still unclear. Depression may occur as a consequence of having diabetes, but may also be a risk factor for the onset of type 2 diabetes. This study examined the latter association by reviewing the literature and conducting a meta-analysis of longitudinal studies on this topic.

METHODS

Medline and PsycInfo were searched for articles published up to January 2005. All studies that examined the relationship between depression and the onset of type 2 diabetes were included. Pooled relative risks were calculated using fixed and random effects models. To explore sources of heterogeneity between studies, subgroup analyses and meta-regression analyses were performed.

RESULTS

Nine studies met our inclusion criteria for this meta-analysis. The pooled relative risk was 1.26 (1.13-1.39) using the fixed effects model and 1.37 (1.14-1.63) using the random effects model. Heterogeneity between studies could not be explained by (1) whether studies controlled for undetected diabetes at baseline; (2) the method of diabetes assessment at follow-up; (3) the baseline overall risk of diabetes in the study population; and (4) follow-up duration.

CONCLUSIONS/INTERPRETATION

Depressed adults have a 37% increased risk of developing type 2 diabetes mellitus. The pathophysiological mechanisms underlying this relationship are still unclear and warrant further research. A randomised controlled study is needed to test whether effective prevention or treatment of depression can reduce the incidence of type 2 diabetes and its health consequences.

Alcohol abuse partly mediates the association between coronary heart disease and affective or psychotic disorders: a follow-up study in Sweden

OBJECTIVE

To analyse whether hospitalization for affective or psychotic disorders predicts coronary heart disease (CHD) after accounting for occupation, region and alcohol-related disorders.

METHOD

National registers were used to identify all individuals in Sweden aged 25-64 years at first hospitalization for affective or psychotic disorders and aged 25-79 years at first hospitalization for CHD between 1987 and 2001. Standardized incidence ratios (SIRs) were calculated.

RESULTS

The association between CHD and affective or psychotic disorders was strongest in the youngest age groups. The overall SIRs varied between 1.39 and 1.68. They were strongly attenuated but remained significant after adjustment for hospitalization because of alcohol-related disorders, especially among women.

CONCLUSION

Hospitalization because of affective or psychotic disorders predicts CHD. These associations are partly mediated by alcohol abuse. Clinicians and decision makers should be aware of the increased risk of CHD in these patient groups.

Effect of chronic unpredictable mild stress on brain–pancreas relative protein in rat brain and pancreas

Brain-pancreas relative protein (BPRP) is a novel protein whose biological function remains unknown. Here, we report a possible role of BPRP in male rats exposed to chronic unpredictable mild stress (CUMS) to induce depression for 3 weeks. Compared to unstressed rats, those exposed to CUMS showed significantly less weight gain with age, decreased consumption of (and preference for) sucrose without a change in total fluid consumption. Exposure to CUMS significantly reduced open-field exploration, rearing and grooming indicative of lethargy, apathy and bodily neglect, respectively. Brain MAO-A and MAO-B activity were both significantly increased in the stressed rats. These results verified induction of depressive symptoms by CUMS. The stressed animals showed a significant reduction in pancreatic BPRP, which was accompanied by an increase in levels of blood sugar and a decrease of insulin. But they showed no apparent alteration in levels or distribution of BPRP in the hippocampal formation, which nevertheless displayed a thinner dentate granule cell layer perhaps related to elevated MAO-B activity. These findings suggest that stress-induced reduction of pancreatic BPRP may cause diabetic symptoms. Whether those symptoms in turn contribute to the onset of depression requires further study.

The impact of anxiety and mood disorders on physical disease: the worried not-so-well

Depression and anxiety can adversely affect the course of chronic physical illnesses, increasing morbidity and mortality. The literature during the past year is reviewed for gastrointestinal disorders, cancer, pain, heart disease, diabetes, and pulmonary disease. Causes for this relationship are behavioral and biological. Behavioral factors in patients with depressive and anxiety disorders include unhealthy lifestyle choices, disrupted sleep, and poor adherence to medical regimens. Biological mechanisms include increased inflammatory response and disruption of the hypothalamic-pituitary-adrenal axis.

History of depression increases risk of type 2 diabetes in younger adults

OBJECTIVE

The purpose of this study was to assess the history of previous depression in people with incident diabetes compared with people without diabetes.

RESEARCH DESIGN AND METHODS

We conducted a population-based nested case-control study using the administrative databases of Saskatchewan Health to assess the study objective. We identified cases of type 2 diabetes based on diagnostics codes and prescription records for individuals over the age of 20 years. For each case subject, two control subjects were randomly selected from the nondiabetic population during the same index year. History of depression, based on diagnostic codes and antidepressant prescription, was ascertained up to 3 years before index date. Simple and multivariate logistic regression analysis was used to estimate the odds ratio (OR) and 95% CIs, after adjusting for age, sex, and frequency of physician visits.

RESULTS

Individuals with newly diagnosed diabetes (1,622 of 33,257; 4.9%) were 30% more likely to have had a previous history of depression compared with people without diabetes (2,279 of 59,420; 3.8%). This increased risk remained after controlling for sex and number of physician visits but was limited to subjects 20-50 years of age (adjusted OR 1.23 [95% CI 1.10-1.37]) and not in those aged > or =51 years (0.92 [0.84-1.00]).

CONCLUSIONS

Depression appears to increase the risk of developing diabetes by approximately 23% in younger adults. This provides information regarding the temporality of the relationship between diabetes and depression.