Prediabetes, depressive and anxiety symptoms, and risk of type 2 diabetes: A community-based cohort study

Risk factors for prediabetes in community-dwelling adults: A generalized estimating equation logistic regression approach with natural language processing insights

The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70% of people with prediabetes developing diabetes during their lifetimes. We aimed to classify community-dwelling adults with a high risk for prediabetes based on prediabetes-related symptoms and to identify their characteristics, which might be factors associated with prediabetes. We analyzed homecare nursing records (n = 26,840) of 1628 patients aged over 20 years. Using a natural language processing algorithm, we classified each nursing episode as either low-risk or high-risk for prediabetes based on the detected number and category of prediabetes-symptom words. To identify differences between the risk groups, we employed t-tests, chi-square tests, and data visualization. Risk factors for prediabetes were identified using multiple logistic regression models with generalized estimating equations. A total of 3270 episodes (12.18%) were classified as potentially high-risk for prediabetes. There were significant differences in the personal, social, and clinical factors between groups. Results revealed that female sex, age, cancer coverage as part of homecare insurance coverage, and family caregivers were significantly associated with an increased risk of prediabetes. Although prediabetes is not a life-threatening disease, uncontrolled blood glucose can cause unfavorable outcomes for other major diseases. Thus, medical professionals should consider the associated symptoms and risk factors of prediabetes. Moreover, the proposed algorithm may support the detection of individuals at a high risk for prediabetes. Implementing this approach could facilitate proactive monitoring and early intervention, leading to reduced healthcare expenses and better health outcomes for community-dwelling adults.

Pros and cons of live kidney donation in prediabetics: A critical review and way forward

There is shortage of organs, including kidneys, worldwide. Along with deceased kidney transplantation, there is a significant rise in live kidney donation. The prevalence of prediabetes (PD), including impaired fasting glucose and impaired glucose tolerance, is on the rise across the globe. Transplant teams frequently come across prediabetic kidney donors for evaluation. Prediabetics are at risk of diabetes, chronic kidney disease, cardiovascular events, stroke, neuropathy, retinopathy, dementia, depression and nonalcoholic liver disease along with increased risk of all-cause mortality. Unfortunately, most of the studies done in prediabetic kidney donors are retrospective in nature and have a short follow up period. There is lack of prospective long-term studies to know about the real risk of complications after donation. Furthermore, there are variations in recommendations from various guidelines across the globe for donations in prediabetics, leading to more confusion among clinicians. This increases the responsibility of transplant teams to take appropriate decisions in the best interest of both donors and recipients. This review focuses on pathophysiological changes of PD in kidneys, potential complications of PD, other risk factors for development of type 2 diabetes, a review of guidelines for kidney donation, the potential role of diabetes risk score and calculator in kidney donors and the way forward for the evaluation and selection of prediabetic kidney donors.

Differences in mental health status between individuals living with diabetes, and pre-diabetes in Qatar: A cross-sectional study

Aims

The aims of this study was to determine the prevalence and to compare depression and anxiety screening scores by type of diabetes: type 2 diabetes mellitus (T2DM), type 1 diabetes mellitus (T1DM), and pre-diabetes. The secondary aim was to examine sex differences in screening scores by type of diabetes.

Methods

This cross-sectional study was conducted in Doha, Qatar using primary data collection (N = 150), and stratified random sampling at a diabetes primary healthcare center. The study tool collected demographic information and used validated mental health screening tools for depressive symptoms "Patient Health Questionnaire-9 (PHQ-9)", and for anxiety symptoms "Generalized Anxiety Disorder 7 (GAD-7)".

Results

The prevalence of moderate to severe depressive and anxiety scores was highest in the prediabetes group (20 % and 14 % respectively). There were increased PHQ-9 scores in the pre-diabetes group compared to T2DM (p-value <0.05). No statistically significant differences in depressive symptom scores were found when comparing the pre-diabetes group with T1DM, and T1DM with T2DM. When looking at sex differences, there were no statistically significant differences between T1DM and pre-diabetes males and females, however PHQ-9 and GAD-7 scores in T2DM females were poorer compared to T2DM males.

Conclusion

The results of our study found patients living with pre-diabetes, and females with T2DM are vulnerable populations who should be screened for mental health disorders. Early screening for mental health disorders for individuals diagnosed with prediabetes, T1DM, and T2DM should be routinely conducted to potentially improve health outcomes.

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

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

Can Waist-to-Height Ratio and Health Literacy Be Used in Primary Care for Prioritizing Further Assessment of People at T2DM Risk?

BACKGROUND

To identify people at risk of type 2 diabetes. Primary health care needs efficient and noninvasive screening tools to detect individuals in need of follow-up to promote health and well-being. Previous research has shown people with lower levels of health literacy and/or well-being scores are vulnerable but may benefit from intervention and follow-up care.

AIMS

This cross-sectional study, aimed to identify people at risk for type 2 diabetes by comparing the Finnish Diabetes Risk instrument with the waist-to-height ratio. Further, the difference was examined in health literacy and well-being scale scores in the countryside versus town areas, respectively.

RESULTS

In total, 220, aged 18-75 years, participated. Thereof, 13.2% displayed biomarkers at prediabetes level of HbA1c (39-47 mmol/mol); none had undiagnosed diabetes. Of the participants, 73% were overweight or obese. Waist-to-height ratio demonstrated 93.1% of the prediabetes group at moderate to high health risk and 64.4% of the normal group, with an area under the curve of 0.759, sensitivity of 93.3%, and specificity of 63.1%. Residency did not influence prediabetes prevalence, health literacy, or well-being.

CONCLUSION

Waist-to-height ratio and the Finnish Diabetes Risk instrument may be suitable for identifying who need further tests and follow-up care for health promotion in primary care.

Preventing type 2 diabetes: A research agenda for behavioural science

AIMS

The aim of this narrative review was to identify important knowledge gaps in behavioural science relating to type 2 diabetes prevention, to inform future research in the field.

METHODS

Seven researchers who have published behaviour science research applied to type 2 diabetes prevention independently identified several important gaps in knowledge. They met to discuss these and to generate recommendations to advance research in behavioural science of type 2 diabetes prevention.

RESULTS

A total of 21 overlapping recommendations for a research agenda were identified. These covered issues within the following broad categories: (a) evidencing the impact of whole population approaches to type 2 diabetes prevention, (b) understanding the utility of disease-specific approaches to type 2 diabetes prevention such as Diabetes Prevention Programmes (DPPs) compared to generic weight loss programmes, (c) identifying how best to increase reach and engagement of DPPs, whilst avoiding exacerbating inequalities, (d) the need to understand mechanism of DPPs, (e) the need to understand how to increase maintenance of changes as part of or following DPPs, (f) the need to assess the feasibility and effectiveness of alternative approaches to the typical self-regulation approaches that are most commonly used, and (g) the need to address emotional aspects of DPPs, to promote effectiveness and avoid harms.

CONCLUSIONS

There is a clear role for behavioural science in informing interventions to prevent people from developing type 2 diabetes, based on strong evidence of reach, effectiveness and cost-effectiveness. This review identifies key priorities for research needed to improve existing interventions.

Higher metabolic variability increases the risk of depressive disorder in type 2 diabetes mellitus: a longitudinal nationwide cohort study

BACKGROUND AND OBJECTIVES

While variabilities in metabolic parameters (METv) have been linked to adverse health outcomes in type 2 DM, their association with depression is yet to be studied. This research aimed to investigate the association between METv and depressive disorder in patients with type 2 DM.

METHODS

The study involved a nationwide cohort of 1,119,631 type 2 DM patients who had undergone three or more serial health examinations between 2005 and 2012. At each visit, body mass index (BMI), fasting glucose (FG), systolic blood pressure (BP), and total cholesterol (TC) were measured and stratified into quartiles, with Q4 being the highest and Q1 the lowest. The risk of depressive disorder was evaluated using Cox proportional hazard regression models, which accounted for METs in the indexes, after adjusting for sex, income status, lifestyle habits, medical comorbidities, DM severity, and baseline levels of BMI, FG, BP, and TC.

RESULTS

During a mean follow-up period of 6.00 ± 2.42 years, 239,477 (21.4%) cases of type 2 DM patients developed depressive disorder. The risk of developing depressive disorder was gradually increased as the number of METv increased (HR 1.18; 95% CI 1.13, 1.23 for the group with the highest METv in all parameters compared to those with the lowest METv in all parameters). In the subgroup analysis, the risk of developing depressive disorder was 43% higher in men (HR 1.43; 95% CI 1.34, 1.51), and 31% higher in those younger than 65 years of age (HR 1.31; 95% CI 1.23, 1.39) in the group with the highest number of METv compared to the group with the lowest number of METv.

CONCLUSION

In type 2 DM, higher METv was an independent risk factor for depressive disorder. This risk is notably elevated in men and individuals under the age of 65 years.

The effects of gender and country of origin on acculturation, psychological factors, lifestyle factors, and diabetes-related physiological outcomes among Mexican Americans: The Starr County diabetes prevention initiative

OBJECTIVES

Examine acculturation and psychological, lifestyle, and physiological factors based on gender and country of origin (U.S. vs. Mexico).

METHODS

Baseline data from the Starr County diabetes prevention study (N = 300) were analyzed - acculturation (language), psychological factors (depression), lifestyle factors (sedentary behaviors), and diabetes-related physiological outcomes (insulin resistance). MANOVA and linear regression were used to examine variable relationships based on gender and country of origin and identify predictors of depression and insulin resistance.

RESULTS

Participants were: predominantly female (73%); 51 years of age, on average; born in Mexico (71%); and Spanish-speaking. Individuals spent 11 of their waking hours (range = 0-18 h) in sedentary activities. Compared to females, more males spoke English and reported fewer hours in sedentary activities. Compared to participants born in Mexico, those born in the U.S. were more likely to: speak English; report depressive symptoms; and exhibit elevated BMI and insulin resistance rates. Two distinct models significantly predicted depression (R² = 14.5%) and insulin resistance (R² = 26.8%), with acculturation-language entering into both models.

DISCUSSION

Significant gender and country-of-origin differences were found. Future research on diabetes prevention should examine other Hispanic subgroups and strategies for addressing individual differences, while employing cost-effective group interventions that incorporate these differences and reach more at-risk individuals.

Prevalence and clinical correlates of abnormal glucose metabolism in young, first- episode and medication-naïve outpatients with major depressive disorder

BACKGROUNDS

The high co-morbidity of abnormal glucose metabolism in depressed patients has been extensively studied, but few studies have explored abnormal glucose metabolism in young patients with major depressive disorder (MDD). This study aimed to examine the prevalence and clinical correlates of abnormal glucose metabolism in young patients with first-episode medication-naïve (FEMN) MDD.

METHODS

A cross-sectional study was conducted on 1289 young Chinese outpatients with FEMN MDD. All subjects were assessed on the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale (HAMA), Positive and Negative Syndrome Scale, and their sociodemographic information was collected, and blood pressure, blood glucose, lipid and thyroid hormone levels were measured.

RESULTS

The prevalence of abnormal glucose metabolism was 12.57% in young FEMN MDD outpatients. Thyroid stimulating hormone (TSH) levels and HAMA scale scores were associated with fasting blood glucose levels in patients with FEMN MDD (P<0.05), and TSH could differentiate patients with abnormal normal glucose metabolism from those without abnormal glucose metabolism (Area Under Curve of 0.774).

CONCLUSIONS

Our study showed a high prevalence of comorbid glucose metabolism abnormalities in young FEMN MDD outpatients. TSH may be a promising biomarker of abnormal glucose metabolism in young patients with FEMN MDD.

Prediabetes and the risk of type 2 diabetes: Investigating the roles of depressive and anxiety symptoms in the Lifelines cohort study

AIMS

Depression and anxiety may increase the risk of progressing from prediabetes to type 2 diabetes. The present study examined the interactions between prediabetes status and elevated depressive and anxiety symptoms with the risk of type 2 diabetes.

METHODS

Participants (N = 72,428) were adults aged 40 years and above without diabetes at baseline from the Lifelines Cohort Study (58% female; mean age = 51.4 years). The Mini-International Neuropsychiatric Interview screened for elevated symptoms of major depressive disorder and generalized anxiety disorder. Glycated haemoglobin A1c (HbA_1c ) levels determined prediabetes status at baseline (2007-2013), and HbA_1c and self-reported diabetes diagnoses determined diabetes status at follow-up (2014-2017). Groups were formed for elevated depressive and anxiety symptoms, respectively, and prediabetes status at baseline (elevated depressive/anxiety symptoms with prediabetes, elevated depressive/anxiety symptoms alone, and prediabetes alone), and compared to a reference group (no prediabetes or anxiety/depression) on the likelihood of developing diabetes during the follow-up period.

RESULTS

N = 1300 (1.8%) participants developed diabetes. While prediabetes alone was associated with incident diabetes (OR = 5.94; 95% CI = 5.10-6.90, p < 0.001), the group with combined prediabetes and depressive symptoms had the highest likelihood of developing diabetes over follow-up (OR = 8.29; 95% CI = 5.58-12.32, p < 0.001). Similar results were found for prediabetes and anxiety symptoms (OR = 6.57; 95% CI = 4.62-9.33, p < 0.001), compared to prediabetes alone (OR = 6.09; 95% CI = 5.23-7.11, p < 0.001), though with a smaller effect. The interaction between depressive symptoms and prediabetes was synergistic in age-and-sex adjusted analyses.

CONCLUSIONS

Individuals with elevated depressive, and to some extent anxiety, symptoms in combination with prediabetes may represent a high-risk subgroup for type 2 diabetes.

Association between serum 25 (OH) D levels and depression symptoms in adults with prediabetes

BACKGROUND AND AIM

Depression symptoms are a significant risk factor for prediabetes-related diabetes, and low vitamin D levels are connected with depression symptoms. The goal of this study is to examine the association between vitamin D and depression symptoms in prediabetic persons.

METHODS

This cross-sectional survey was conducted in Tianjin, China, among 4051 individuals. Symptoms of depression were assessed using the Self-Rating Depression Scale (SDS) (cut-off point SDS ≥45). Serum 25 (OH) D concentrations were determined using an enzyme immunoassay (OCTEIA 25-hydroxy Vitamin D, IDS Ltd, UK) and classified into three levels: 50 nmol/L, 50-75 nmol/L, and >75 nmol/L. The link between serum 25 (OH) D concentrations and depression symptoms in prediabetes was investigated using multiple logistic regression analysis. The models were adjusted for a variety of potential confounders.

RESULTS

The prevalence of symptoms of depression in prediabetic adults was 14.2% (12.5% males and 16.4% females). After adjusting for potentially confounding variables, the odds ratios - ORs for symptoms of depression in women across serum 25 (OH) D levels were 1.00 (reference), 1.03 (0.57, 1.39), and 0.28 (0.12, 0.57), respectively (p = 0.0015). However, no statistically significant connection was discovered in males.

CONCLUSION

In women with prediabetes, we showed a substantial negative connection between serum 25 (OH) D levels and depressed symptoms. Vitamin D supplementation may be an effective way to decrease the risk of depression symptoms in women with prediabetes.

Fatigue, anxiety and depression in patients with prediabetes: a controlled cross-sectional study

Objective

We aimed to determine fatigue, depression, anxiety levels, and quality of life (QoL) in patients with prediabetes (PD) and to compare them with healthy subjects.

Materials and methods

A controlled, cross-sectional study was conducted. The patients, aged 18-65, were recruited from a tertiary care hospital. A total of 105 patients with newly diagnosed untreated PD and 48 normoglycemic subjects were included in the study. Participants did not know the diagnosis of PD and did not give psychological distress to the newly diagnosed. All participants were evaluated for body mass index (BMI), oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c), Fatigue Severity Scale (FSS), Hospital Anxiety and Depression Scale (HADS), Short Form-36 (SF-36).

Results

Age, gender, BMI were similar between groups. The scores of psychological measures were significantly worse in patients with PD compared with normoglycemic subjects (FSS median score: 4.33 vs. 2.22, HADS-anxiety mean score: 7.53 vs. 2.64, HADS-depression mean score: 6.33 vs. 2.79, SF-36 total median score: 52.81 vs. 79.89). The FSS, HADS and SF-36 scores showed a weak but statistically significant relationship with BMI. OGTT, HbA1c and HOMA-IR did not show any relationship with these scores.

Conclusion

Psychosocial problems may present in the prediabetic stage before the onset of diabetes.

Sex-specific impact of major depressive disorder on 12-year change in glycaemic status: Results from a nationwide cohort study of adults without diabetes in Germany

AIMS

There is evidence for an increased type 2 diabetes (T2D) risk associated with depression, but its role for diabetes prevention remains unclear. This study aimed to add insight by investigating the impact of major depressive disorder (MDD) on prospective glycaemic changes.

METHODS

The study was based on a cohort of n = 1,766 adults without diabetes (776 men, 990 women; 18-65 years of age) who participated in the mental health supplement of the German National Health Interview and Examination Survey (GNHIES98-MHS, 1997-1999) and in a follow-up survey (DEGS1, 2008-2011). Glycaemic status was defined as normoglycaemia [HbA1c < 39 mmol/mol (<5.7%)], prediabetes [39 ≤ HbA1c < 48 mmol/mol (5.7-6.4%)] and diabetes [HbA1c ≥ 48 mmol/mol (≥ 6.5%), diagnosed diabetes, or antidiabetic medication], and glycaemic changes categorized as 'remission', 'stability' and 'progression'. Baseline MDD was assessed via a modified German version of the WHO Composite International Diagnostic Interview. Multivariable logistic regressions were applied to analyse the association of MDD with glycaemic changes and incident T2D, adjusting for socio-demographics, lifestyle conditions, chronic diseases, antidepressant use and mental health care.

RESULTS

MDD prevalence was 21.4% for women and 8.9% for men. Among women, MDD was associated with a lower chance for remission (RRR 0.43; 95% CI 0.23, 0.82). Among men, MDD was not significantly related to glycaemic changes. MDD had no significant effect on incident T2D (men: OR 1.58; 0.55, 4.52; women: OR 0.76; 0.37, 1.58).

CONCLUSIONS

Findings of the current study highlight the role of depression in T2D prevention, particularly among women.

Is There Limited Utility for Lifestyle Recommendations for Diabetes Prevention Among Overweight or Obese Depressed Patients?

Background: Lifestyle interventions like diet and exercise are commonly recommended for diabetes prevention, but it is unclear if depression modifies the likelihood of adherence. We evaluated the relationship between high depressive symptomatology and adherence to lifestyle interventions among patients with pre-diabetes. Methods: We conducted an analysis of the nationally representative National Health and Nutrition Examination Survey (NHANES) 2017-2018. Adults, aged ≥18 years old who were overweight or obese (BMI ≥25) and had diagnosed or undiagnosed pre-diabetes (HbA1c 5.7-6.4) were included. Depressive symptomatology was classified by the Patient Health Questionniare-9 (PHQ-9). We used self-reported adherence to physician suggested lifestyle changes of diet and exercise. Results: In this nationally representative survey of overweight or obese adults with pre-diabetes, 14.8% also have high depressive symptomatology. In unadjusted analyses, an interaction was observed with high depressive symptomatology acting as an effect modifier for adherence to exercise oriented interventions among patients with diagnosed pre-diabetes (p = 0.027). In logistic regressions, adjusting for age, sex, race, outpatient medical care in the past 12 months, and obesity, among patients with diagnosed pre-diabetes, depressed patients were less likely to attempt to exercise more (OR = 0.31; 95% CI: 0.10, 0.94) and no association between high depressive symptomatology and attempting to lose weight was observed (OR = 0.45; 95% CI: 0.14, 1.42). Conclusions: The findings of this nationally representative study of US adults, high depressive symptomatology decreases the likelihood of adherence to exercise based lifestyle recommendations among patients with diagnosed pre-diabetes.

Medial prefrontal area reductions, altered expressions of cholecystokinin, parvalbumin, and activating transcription factor 4 in the corticolimbic system, and altered emotional behavior in a progressive rat model of type 2 diabetes

Metabolic disorders are associated with a higher risk of psychiatric disorders. We previously reported that 20-week-old Otsuka Long-Evans Tokushima fatty (OLETF) rats, a model of progressive type 2 diabetes, showed increased anxiety-like behavior and regional area reductions and increased cholecystokinin-positive neurons in the corticolimbic system. However, in which stages of diabetes these alterations in OLETF rats occur remains unclear. We aimed to investigate anxiety-like behavior and its possible mechanisms at different stages of type 2 diabetes in OLETF rats. Eight- and 30-week-old OLETF rats were used as diabetic animal models at the prediabetic and progressive stages of type 2 diabetes respectively, and age-matched Long-Evans Tokushima Otsuka rats served as non-diabetic controls. In the open-field test, OLETF rats showed less locomotion in the center zone and longer latency to leave the center zone at 8 and 30 weeks old, respectively. The areas of the medial prefrontal cortex were smaller in the OLETF rats, regardless of age. The densities of cholecystokinin-positive neurons in OLETF rats were higher in the lateral and basolateral amygdala only at 8 weeks old and in the anterior cingulate and infralimbic cortices and hippocampal cornu ammonis area 3 at both ages. The densities of parvalbumin-positive neurons of OLETF rats were lower in the cornu ammonis area 2 at 8 weeks old and in the prelimbic and infralimbic cortices at both ages. No apoptotic cell death was detected in OLETF rats, but the percentage of neurons co-expressing activating transcription factor 4 and cholecystokinin and parvalbumin was higher in OLETF rats at both ages in the anterior cingulate cortex and basolateral amygdala, respectively. These results suggest that altered emotional behavior and related neurological changes in the corticolimbic system are already present in the prediabetic stage of OLETF rats.

Generalized anxiety disorder symptoms and type 2 diabetes onset: Findings from the Prospective Cooperative Health Research in the Region of Augsburg F4 and FF4 studies

OBJECTIVE

To investigate the association of generalized anxiety disorder (GAD) symptomology on the incidence of type 2 diabetes.

RESEARCH DESIGN & METHODS

Participants from the prospective KORA F4/FF4 German cohort were followed for a mean of 6.5 years. Generalized Anxiety Disorder Scale-7 (GAD-7) was used to assess GAD symptoms and incident type 2 diabetes cases were confirmed using a standard oral glucose tolerance test. Multivariate logistic regression models were used to estimate the effect of GAD symptoms on the incidence of type 2 diabetes.

RESULTS

The present study included 1694 participants (51.8% women, 48.2% men) with a mean age of 51.2 years, among whom 113 (6.7%) had high GAD symptoms. During the follow-up period (11,102 person/years), 113 (6.5%) type 2 diabetes cases were confirmed. Participants with GAD symptoms had 2-fold higher incidence of type 2 diabetes than participants without GAD (17.7 vs. 8.7 cases/1000 person-years). Correspondingly, GAD symptoms independently increased the risk of type 2 diabetes by an odds ratio of 2.09 [95%CI 1.02-4.32, p = 0.04] after adjustment for concurrent sociodemographic, lifestyle and cardiometabolic risk factors, high sensitivity C-reactive protein, depression, and the use of antidepressant medications. Additionally, GAD symptoms had an even larger impact on the onset of type 2 diabetes incidence following additional adjustment for prediabetes at baseline (2.68 [1.23-5.88], p=0.01).

CONCLUSIONS

Participants with GAD symptoms had 2-times higher odds of type 2 diabetes incidence during 6.5 years of follow-up, highlighting the significant role of dysregulated stress mechanisms in the pathway to developing type 2 diabetes.

Associations between cognitive function, metabolic factors and depression: A prospective study in Quebec, Canada

BACKGROUND

Metabolic risk factors, low cognitive function and history of depression are known risk factors for future depressive episodes. This paper aims to evaluate the potential interactions between these factors on the risk of a major depressive episodes in middle-age.

METHODS

Baseline and follow-up data from a population-based study of Quebec, Canada were used. The sample consisted of 1788 adults between 40 and 69 years of age without diabetes. Cognitive function and metabolic risk factors were assessed at baseline. Three cognitive domains were assessed: processing speed, episodic memory and executive function. History of depression was assessed five years later by a clinical interview. Logistic regression analysis was conducted to evaluate interactions between individual metabolic factors, low cognitive function, and depression history.

RESULTS

Participants with a comorbidity of at least one metabolic factor, history of depression and low cognitive function had the highest risk of experiencing a depressive episode in middle age. The highest risk was observed in individuals with abdominal obesity, low cognitive function, and a history of depression (OR= 8.66, 95% CI 3.83-19.59). The risks for those with abdominal obesity only, depression history only, and low cognitive function were 1.20 (95%CI 0.71-2.02), 3.10 (95%CI 1.81-5.24), and 1.39 (95%CI 0.72-2.67), respectively.

LIMITATIONS

Depression was only assessed at follow-up.

CONCLUSION

Metabolic risk factors comorbid with low cognitive function in middle-aged individuals with a history of depression were associated with an increased risk of a future depressive episode. This study highlights the importance of screening for metabolic and cognitive comorbidities in patients with a history of depression.

Diabesity and Perinatal Mental Health: Evidence-based Recommendations for Screening and Intervention

Perinatal mental illness, obesity, and diabetes mellitus are common complications of the perinatal period that are becoming ever more prevalent and frequently co-occur. This review seeks to examine the prevalence of comorbid obesity/diabetes (termed "diabesity") and mental illness in the perinatal period and current understandings of the psychosocial and pathophysiological relationships between these diseases. We will present current guidelines for screening and make recommendations for adaptations of mental health treatment in patients with this comorbidity. Finally, we present future directions for research and clinical intervention.

Factors for Social Stressors Among Type 2 Diabetics Versus Non-Diabetics Using the Hamilton Depression Rating Scale

Objective This study aimed to evaluate different factors of social stressors among people with type II diabetes versus non-diabetics by using the Hamilton Depression Rating Scale (HAM-D). Methodology This case-control study was done for one year at Ziauddin University Hospital, Karachi, Pakistan. Diagnosed patients with type II diabetes between 25 and 60 years were included as cases and age-related healthy individuals as controls. Participants on any psychotropic medications, neurodegenerative disorders, or on chemotherapy were excluded. Hamilton Rating Scale for Depression (HRDS-17) was used for recording depressive symptoms. The Statistical Package for the Social Sciences (SPSS) version 26.0 (IBM Corp., Armonk, NY) was used for data analysis. The frequency was calculated for descriptive statistics and depression scores (HRDS-17). A significance level of 0.05 was considered. Results A total of 272 patients were divided into two groups, with 136 patients in the group with diabetes and 136 participants in the control group. The mean age among people with diabetes was 55.13±9.10 years and among non-diabetics was 43.25±12.97 years (p<0.001). The mean duration of illness in people with diabetes was 8.51±7.57 years and in non-diabetics, it was 6.73±4.42 years (p=0.018). The mean social rating in people with diabetes was 164.0±155.60 and in non-diabetics, it was 124.75±99.02 (p=0.014). Insomnia, both in the early and middle part of the night affecting work activities, hypochondriasis, and loss of weight, was significantly present among diabetics as compared to controls (p<0.05). Conclusion Most diabetics reported a significant effect on the quality of life based on social rating and health-care expenditure. They experienced depressive symptoms more frequently than non-diabetics. Insomnia in the middle of the night affected work and activities; hypochondriasis and weight loss were found to be substantially higher among patients with diabetes than in controls.

An atlas on risk factors for type 2 diabetes: a wide-angled Mendelian randomisation study

AIMS/HYPOTHESIS

The aim of this study was to use Mendelian randomisation (MR) to identify the causal risk factors for type 2 diabetes.

METHODS

We first conducted a review of meta-analyses and review articles to pinpoint possible risk factors for type 2 diabetes. Around 170 possible risk factors were identified of which 97 risk factors with available genetic instrumental variables were included in MR analyses. To reveal more risk factors that were not included in our MR analyses, we conducted a review of published MR studies of type 2 diabetes. For our MR analyses, we used summary-level data from the DIAbetes Genetics Replication And Meta-analysis consortium (74,124 type 2 diabetes cases and 824,006 controls of European ancestry). Potential causal associations were replicated using the FinnGen consortium (11,006 type 2 diabetes cases and 82,655 controls of European ancestry). The inverse-variance weighted method was used as the main analysis. Multivariable MR analysis was used to assess whether the observed associations with type 2 diabetes were mediated by BMI. We used the Benjamini-Hochberg method that controls false discovery rate for multiple testing.

RESULTS

We found evidence of causal associations between 34 exposures (19 risk factors and 15 protective factors) and type 2 diabetes. Insomnia was identified as a novel risk factor (OR 1.17 [95% CI 1.11, 1.23]). The other 18 risk factors were depression, systolic BP, smoking initiation, lifetime smoking, coffee (caffeine) consumption, plasma isoleucine, valine and leucine, liver alanine aminotransferase, childhood and adulthood BMI, body fat percentage, visceral fat mass, resting heart rate, and four plasma fatty acids. The 15 exposures associated with a decreased risk of type 2 diabetes were plasma alanine, HDL- and total cholesterol, age at menarche, testosterone levels, sex hormone binding globulin levels (adjusted for BMI), birthweight, adulthood height, lean body mass (for women), four plasma fatty acids, circulating 25-hydroxyvitamin D and education years. Eight associations remained after adjustment for adulthood BMI. We additionally identified 21 suggestive risk factors (p < 0.05), such as alcohol consumption, breakfast skipping, daytime napping, short sleep, urinary sodium, and certain amino acids and inflammatory factors.

CONCLUSIONS/INTERPRETATION

The present study verified several previously reported risk factors and identified novel potential risk factors for type 2 diabetes. Prevention strategies for type 2 diabetes should be considered from multiple perspectives on obesity, mental health, sleep quality, education level, birthweight and smoking.

Anxiety boosts progression of prediabetes to type 2 diabetes: findings from the prospective Cooperative Health Research in the Region of Augsburg F4 and FF4 studies

AIM

To investigate the association between anxiety symptoms and the progression from prediabetes to type 2 diabetes.

METHODS

A sample of 1708 participants aged 31-82 years from the population-based Cooperative Health Research in the Region of Augsburg F4 and the follow-up Cooperative Health Research in the Region of Augsburg FF4 studies was included. Prediabetes was defined as impaired fasting glucose and/or impaired glucose tolerance, and anxiety status was measured by the generalized anxiety disorder-7 questionnaire. Newly diagnosed type 2 diabetes cases were identified after 6.5 years (11 102 person-years) and confirmed by medical records. Multivariate logistic regression analyses were employed to estimate the effect of prediabetes and anxiety on the incidence of type 2 diabetes with different levels of adjustments for potential confounders. The population attributable risk of type 2 diabetes in participants with prediabetes and anxiety was estimated.

RESULTS

Prediabetes at baseline was prevalent in 247 participants, of whom 77 developed diabetes after follow-up, accounting for a progression rate of 31%. In participants with prediabetes, high anxiety was associated with a 3-fold increased risk of progression to type 2 diabetes in comparison with low anxiety, even after accounting for socio-demographic, lifestyle and metabolic risk factors (OR = 2.82, 95% CI = 0.95-8.37, P = 0.06). A significant proportion of incident type 2 diabetes was attributed to having anxiety in addition to prediabetes (attributable risk proportion: 0.52; 95% CI = 0.004-1.04, P = 0.05).

CONCLUSIONS

Anxiety symptoms independently increase the progression risk of prediabetes to type 2 diabetes and should be routinely considered alongside the traditional risk factors in people with prediabetes.

A position statement on screening and management of prediabetes in adults in primary care in Australia

Prediabetes has a high prevalence, with early detection essential to facilitate optimal management to prevent the development of conditions such as type 2 diabetes and cardiovascular disease. Prediabetes can include impaired fasting glucose, impaired glucose tolerance and elevated HbA1c. This position statement outlines the approaches to screening and management of prediabetes in primary care. There is good evidence to implement intensive, structured lifestyle interventions for individuals with impaired glucose tolerance. The evidence for those with impaired fasting glucose or elevated HbA1c is less clear, but individuals should still be provided with generalised healthy lifestyle strategies. A multidisciplinary approach is recommended to implement healthy lifestyle changes through education, nutrition and physical activity. Individuals should aim to lose weight (5-10% of body mass) using realistic and sustainable dietary approaches supported by an accredited practising dietitian, where possible. Physical activity and exercise should be used to facilitate weight maintenance and reduce blood glucose. Moderate-vigorous intensity aerobic exercise and resistance training should be prescribed by an accredited exercise physiologist, where possible. When indicated, pharmacotherapy, metabolic surgery and psychosocial care should be considered, in order to enhance the outcomes associated with lifestyle change. Individuals with prediabetes should generally be evaluated annually for their diabetes status.

Depressive symptoms mediate the relationship between sleep disturbances and type 2 diabetes mellitus

BACKGROUND

The current study aimed at examining whether individuals diagnosed with type 2 diabetes mellitus (T2DM) have more severe sleep disturbances compared to individuals who are healthy or have prediabetes and whether depressive symptoms mediate the relationship between sleep disturbances and having T2DM.

METHODS

T2DM patients (n = 107) were compared to individuals with prediabetes (n = 48) and healthy individuals (n = 154) regarding the severity of depressive symptoms, measured via the Beck Depression Inventory-II (BDI-II), and sleep disturbances, measured via the Mini Sleep Questionnaire (MSQ). Mediation analysis examined whether depressive symptoms mediated the relationship between sleep disturbances and T2DM.

RESULTS

Compared to healthy individuals and individuals with prediabetes, T2DM patients had more depressive symptoms and higher levels of insomnia, hypersomnia, and overall more sleep disturbances. The prediabetes group did not differ from the healthy control group on these measures, and these groups were thus combined for further analysis. Sleep disturbances were correlated with severity of depressive symptoms (r =0.43). After controlling for age, gender, and ethnic background, both severity of sleep disturbances (odds ratio [OR]: 1.04; 95% CI: 1.01-1.07, P <.001) and severity of depressive symptoms (OR: 8.54, 95% CI: 3.37-21.69, P <.001) predicted T2DM. Depression symptoms mediated the relationship between sleep disturbances and T2DM, whereas the direct relationship between sleep disturbances and T2DM was nonsignificant.

CONCLUSIONS

The findings imply that sleep disturbances may contribute to the development and progression of T2DM by promoting depressive symptoms. Thus, treatments for the emotional distress associated with sleep disturbances may help reduce the risk for T2DM and the progression of the disease.

Association Between Purpose in Life and Glucose Control Among Older Adults

Background

Greater purpose in life is associated with lower rates of certain chronic diseases. Whether purpose in life can protect against development of prediabetes or type 2 diabetes is unknown.

Purpose

To examine the association between purpose in life and blood glucose control among adults ≥50 years.

Methods

We conducted a longitudinal cohort study of 3,907 participants of the Health and Retirement Study who at baseline did not have type 2 diabetes or prediabetes. Baseline purpose in life was measured using the Ryff and Keyes' Scales of Psychological Well-Being and grouped into tertiles (high, medium, and low). We used multivariable linear regression to examine the association between baseline purpose in life and HbA1c over 4 years. Multivariable logistic regression was used to examine the association between baseline purpose and incident prediabetes or type 2 diabetes over the same period.

Results

After adjusting for sociodemographic factors, body mass index, physical activity, and physical and mental health factors, HbA1c was 0.07 percentage points lower among participants with high purpose than those with low purpose (95% confidence interval [CI] -0.12 to -0.02; p = .011). Participants with high purpose had lower odds of developing prediabetes or type 2 diabetes than those with low purpose (adjusted odds ratio 0.78; 95% CI 0.62 to 0.98; p = .037).

Conclusions

Among older adults, greater purpose in life is associated with a lower incidence of prediabetes or type 2 diabetes. Strategies to promote greater purpose in life should be tested as a part of type 2 diabetes prevention efforts.

Depressive Symptoms Mediate the Relationship between Emotional Cutoff and Type 2 Diabetes Mellitus

BACKGROUND

Differentiation of self is a family systems construct defined as the ability to balance intimacy and autonomy and to separate instinctually driven emotional reactions and thoughtfully considered goal-directed functioning. In theory, low differentiation of self is reflected by four components: a low tendency to take an I-position in relationships (i.e., to own one's thoughts and feelings); emotional cutoff from others; a greater tendency to fuse with others; and a tendency towards emotional reactivity. Low differentiation of self is associated with anxiety and depression, which are risk factors for type 2 diabetes mellitus. The current study examines the relationship between differentiation of self and type 2 diabetes mellitus.

METHOD

Individuals with type 2 diabetes mellitus (N = 107) and healthy individuals (N = 145) completed the Differentiation of Self Inventory-Revised (DSI-R), the State-Trait Anxiety Inventory (STAI), and the Beck Depression Inventory (BDI-II).

RESULTS

Compared with healthy individuals, participants with type 2 diabetes had more severe depressive symptoms, higher levels of emotional cutoff, and a lower tendency to take an I-position, but had similar levels of trait anxiety, emotional reactivity, and fusion with others (factor analysis revealed these factors were not separable in the current sample and thus were merged into a single construct). Importantly, the severity of depressive symptoms mediated the relationship between emotional cutoff and being in the type 2 diabetes study group rather than the healthy group.

CONCLUSION

These findings suggest a new perspective on the role of psychological patterns in type 2 diabetes mellitus development and progression.

Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia

BACKGROUND

Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts.

OBJECTIVES

To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia.

SEARCH METHODS

We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining.

SELECTION CRITERIA

We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only.

DATA COLLECTION AND ANALYSIS

One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework.

MAIN RESULTS

We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018.

AUTHORS' CONCLUSIONS

Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.

Comorbid depressive and anxiety symptoms and the risk of type 2 diabetes: Findings from the Lifelines Cohort Study

BACKGROUND

Prior studies indicate that depression is a risk factor for type 2 diabetes (T2D), though there is considerable heterogeneity in reported estimates. Identifying homogeneous subgroups of depression strongly associated with T2D may be beneficial. This study examined associations between depression and anxiety comorbidity with the risk of T2D.

METHODS

78,025 participants from the Lifelines Cohort Study (age range = 30-75 years) without diabetes at baseline were included in this study. The Mini-International Neuropsychiatric Interview assessed depressive and anxiety symptoms at baseline. Incident T2D was assessed by self-report or hemoglobin A1c levels during an approximately 3.8-year follow-up period. Risk of T2D was compared across four groups (no depressive or anxiety symptoms, depressive symptoms alone, anxiety symptoms alone, comorbid depressive/anxiety symptoms) using mixed effects logistic regression analyses adjusted for sociodemographic, lifestyle, and cardiometabolic characteristics.

RESULTS

1,096 participants developed diabetes. Compared to those without depressive or anxiety symptoms (n = 74,467), those with comorbid depressive and anxiety symptoms (n = 743) were more likely to develop T2D (n = 28, OR = 2.12, 95% CI = 1.22-3.68). Depressive symptoms alone (n = 650) and anxiety symptoms alone (n = 2,165) were not significantly associated with T2D (n = 23 and n = 24, respectively, developed diabetes). Those with comorbid symptoms were also more likely to develop T2D compared to those with depressive symptoms alone (OR = 2.86, 95% CI = 1.25-6.54).

LIMITATIONS

Depressive and anxiety symptom assessments were based on a screening tool. Hemoglobin A1c data were only available for a subset of participants.

CONCLUSIONS

Depression with comorbid anxiety may be a subgroup of depression that is strongly associated with the risk of T2D.

Managing patients with prediabetes and type 2 diabetes after coronary events: individual tailoring needed - a cross-sectional study

BACKGROUND

Understanding the determinants associated with prediabetes and type 2 diabetes in coronary patients may help to individualize treatment and modelling interventions. We sought to identify sociodemographic, medical and psychosocial factors associated with normal blood glucose (HbA1c < 5.7%), prediabetes (HbA1c 5.7-6.4%), and type 2 diabetes.

METHODS

A cross-sectional explorative study applied regression analyses to investigate the factors associated with glycaemic status and control (HbA_1c level) in 1083 patients with myocardial infarction and/or a coronary revascularization procedure. Data were collected from hospital records at the index event and from a self-report questionnaire and clinical examination with blood samples at 2-36 months follow-up.

RESULTS

In all, 23% had type 2 diabetes, 44% had prediabetes, and 33% had normal blood glucose at follow-up. In adjusted analyses, type 2 diabetes was associated with larger waist circumference (Odds Ratio 1.03 per 1.0 cm, p = 0.001), hypertension (Odds Ratio 2.7, p < 0.001), lower high-density lipoprotein cholesterol (Odds Ratio 0.3 per1.0 mmol/L, p = 0.002) and insomnia (Odds Ratio 2.0, p = 0.002). In adjusted analyses, prediabetes was associated with smoking (Odds Ratio 3.3, p = 0.001), hypertension (Odds Ratio 1.5, p = 0.03), and non-participation in cardiac rehabilitation (Odds Ratio 1.7, p = 0.003). In patients with type 2 diabetes, a higher HbA_1c level was associated with ethnic minority background (standardized beta [β] 0.19, p = 0.005) and low drug adherence (β 0.17, p = 0.01). In patients with prediabetes or normal blood glucose, a higher HbA_1c was associated with larger waist circumference (β 0.13, p < 0.001), smoking (β 0.18, p < 0.001), hypertension (β 0.08, p = 0.04), older age (β 0.16, p < 0.001), and non-participation in cardiac rehabilitation (β 0.11, p = 0.005).

CONCLUSIONS

Along with obesity and hypertension, insomnia and low drug adherence were the major modifiable factors associated with type 2 diabetes, whereas smoking and non-participation in cardiac rehabilitation were the factors associated with prediabetes. Further research on the effect of individual tailoring, addressing the reported significant predictors of failure, is needed to improve glycaemic control.

TRIAL REGISTRATION

Retrospectively registered at ClinicalTrials.gov: NCT02309255 , December 5th 2014.

Investigating the longitudinal association between diabetes and anxiety: a systematic review and meta-analysis

AIM

Previous research has indicated an association between diabetes and anxiety. However, no synthesis has determined the direction of this association. The aim of this study was to determine the longitudinal relationship between anxiety and diabetes.

METHODS

We searched seven databases for studies examining the longitudinal relationship between anxiety and diabetes. Two independent reviewers screened studies from a population aged 16 or older that examined either anxiety as a risk factor for incident diabetes or diabetes as a risk factor for incident anxiety. Studies that met eligibility criteria were put forward for data extraction and meta-analysis.

RESULTS

In total 14 studies (n = 1 760 800) that examined anxiety as a risk factor for incident diabetes and two (n = 88 109) that examined diabetes as a risk factor for incident anxiety were eligible for inclusion in the review. Only studies examining anxiety as a risk factor for incident diabetes were put forward for the meta-analysis. The least adjusted (unadjusted or adjusted for age only) estimate indicated a significant association between baseline anxiety with incident diabetes (odds ratio 1.47, 1.23-1.75). Furthermore, most-adjusted analyses indicated a significant association between baseline anxiety and incident diabetes. Included studies that examined diabetes to incident anxiety found no association.

CONCLUSIONS

There was an association between baseline anxiety and incident diabetes. The results also indicate the need for more research to examine the direction of association from diabetes to incident anxiety. This work adds to the growing body of evidence that poor mental health increases the risk of developing diabetes.

Prevalence and correlates of depressive symptoms in older adults across the glycaemic spectrum: the Atherosclerosis Risk in Communities (ARIC) study

AIMS

To document the prevalence of current depressive symptoms and history of depression across the glycaemic spectrum in older adults, and examine if measures of health status and healthcare satisfaction, access and utilization explain differences in the prevalence of current depressive symptoms by diabetes status.

METHODS

We conducted a cross-sectional study of 6226 participants aged 67-90 years who attended the 2011-2013 visit of the Atherosclerosis Risk in Communities (ARIC) study. Diabetes was based on self-report, medication use and HbA1c . Current depressive symptoms were defined using the Center for Epidemiologic Studies Depression 11-item questionnaire, and history of depression was assessed via self-report. We examined obesity, history of cardiovascular disease, hypertension, kidney disease, cognitive function, and self-reported health compared with others. Prevalence and prevalence ratios were estimated using age-, race-, and sex-adjusted Poisson regression.

RESULTS

The prevalence of current depressive symptoms was 5.4% in people without diabetes and 11.0% in people with diabetes (prevalence ratio 2.04, 95% CI 1.60, 2.48); the prevalence of history of depression was 11% in people without diabetes and 17.7% in people with diabetes (prevalence ratio 1.61, 95% CI 1.28,1.95). Strong correlates of current depressive symptoms were history of depression (prevalence ratio 3.86, 95% CI 3.05, 4.90) and reporting poor health compared with others (prevalence ratio 3.88, 95% CI 2.93, 5.15). No variables had significantly different associations with depressive symptoms across glycaemic categories (P for interaction >0.10).

CONCLUSIONS

In older adults, current depressive symptoms were twice as prevalent in people with diabetes compared with those without. Measures of health status and healthcare did not explain differences in depressive symptoms between people with and without diabetes.

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.