Psychosocial factors impact diabetes outcomes, yet healthcare systems remain inadequately equipped to address these needs. Research centring on the experiences of people with diabetes (PWD) can inform programme implementation, policies and partnerships to address psychosocial care needs. The goals of the diabetes, distress and disparities (3D) study are to quantify the psychosocial care needs of PWD in a large academic medical centre, generate insights regarding how psychosocial factors shape diabetes outcomes and identify modifiable determinants of psychosocial care.

The 3D study is recruiting adults with type 1 (T1D), type 2 (T2D), latent autoimmune diabetes in adults (LADA) and gestational diabetes (GD) from the Caswell Diabetes Registry at Michigan Medicine. The 3D study uses an explanatory sequential mixed-methods design with two phases. Phase I (P1: target n=500, began July 2023) consists of an online survey to quantify prevalence and examine correlates of a wide range of psychosocial factors (eg, diabetes-related distress, depression, stigma). This survey was refined through consultation with PWD. Phase II (P2) involves semi-structured telephone interviews with n=40 P1 respondents, recruited using maximum variation sampling informed by demographic characteristics and responses to psychosocial survey measures. P2 will explore a subset of factors (eg, patient-provider communication, social support, barriers/promoters to care). To date, n=573 (5% response rate) have completed P1. In March 2024, we identified a target sample of P1 respondents (n=65) for recruitment into P2. All data collection was completed by September 2024. Analysis will involve quantitative linear and logistic regression to understand correlates of psychosocial outcomes from P1, and qualitative content analysis to clarify potential points of intervention from P2.

This study is approved by the University of Michigan Institutional Review Board (HUM00223735). Protocol materials are available at https://osf.io/yfz6b/. Findings from this study will be disseminated through peer-reviewed publications, presentations at conferences and outreach to key stakeholders, including creating educational materials for patient advocacy groups and interprofessional practice.

People with non-communicable diseases (NCDs) have a higher prevalence of comorbid depression than the general population. While previous research has shown that behavioural activation is effective for general depression, its efficacy and safety in treating depression associated with NCDs remains unclear.

To compare the efficacy and safety of behavioural activation against comparators in reducing depression symptoms in people with NCDs.

We searched six databases from inception until 30 March 2023 (updated 23 September 2024) for randomised controlled trials (RCTs) comparing behavioural activation with comparators for depression in people with NCDs. Risk of bias was assessed using the Cochrane Collaboration's 'risk-of-bias 2 tool'. We calculated a random-effects, inverse-variance weighting meta-analysis.

Of the 21 386 initial studies, 12 RCTs (with 2144 patients) comparing behavioural activation with any comparator on treatment outcomes for depression with comorbid NCD met the inclusion criteria. Six studies rated as low risk of bias. For short-term follow-ups (up to 6 months), meta-analysis showed behavioural activation had little effect on depression symptom improvement in people with NCDs (Hedges' g = -0.24; 95% CI, -0.62 to 0.15), compared to comparators, with high heterogeneity (I2 = 91.91%). Of the 12 included studies, three RCTs provided data on adverse events occurring during the trial.

Evidence from this systematic review is not sufficient to draw clear conclusions about the efficacy and safety of behavioural activation for reducing depression symptoms in people with NCDs. Future reviews need to include more high-quality, well-designed RCTs to better understand the potential benefits of behavioural activation for comorbid depression.

There is a lack of evidence on effective treatments for depression in people with T2DM, particularly in Low and Middle-Income Countries (LMICs). This study aims to test the feasibility and acceptability of a culturally adapted Behavioural Activation (BA) intervention (DiaDeM) for people with depression and T2DM in two South Asian LMICs.

A multicountry, individually randomised-controlled feasibility trial was conducted from March 2022 to November 2022. We recruited adults from diabetes healthcare facilities in Bangladesh and Pakistan with a diagnosis of depression and T2DM. Consenting individuals were randomised to either optimised usual care or the DiaDeM intervention, which comprised six BA sessions delivered by non-mental health facilitators over six to twelve weeks. Participants were followed up at three and six months post-randomisation. The feasibility and acceptability of recruitment and retention, intervention delivery, and data collection were assessed. A mixed-methods process evaluation was also performed to inform the main trial.

The DiaDeM feasibility trial successfully recruited 128 participants, with 85 % retention at six months follow-up. The majority of participants engaged with the intervention, demonstrating good adherence to the Behavioural Activation (BA) sessions. Data completeness for key outcomes, including depression severity and HbA1c levels, was high across all time points (>90 %). The process evaluation showed high acceptability of the intervention, with participants reporting increased motivation and improved management of both T2DM and depression.

Good recruitment and retention rates, completeness of data collection, and high acceptability of the intervention showed that it would be feasible to undertake a full-scale trial.

The objective of this investigation was to explore the correlation between the visceral adiposity index (VAI) and depression, and to analyze how type 2 diabetes mellitus (T2DM) may influence this relationship.

This study included data of 12,378 participants sourced from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Utilizing multivariate logistic regression and restricted cubic spline (RCS) regression, we examined the correlation between VAI and depression. Additionally, we investigated the interactive and mediating effects of T2DM on the association between VAI and depression.

Controlling for all potential confounders, the Ln logarithmic transformation of VAI showed a significant positive correlation with depression [odds ratio (OR) = 1.16, 95 % confidence interval (CI): 1.01-1.35, P = 0.041]. T2DM exhibited a notable interaction effect on the relationship connecting lnVAI and depression (P for interaction = 0.013). Specifically, the T2DM group exhibited a notable positive correlation between lnVAI and depression (OR = 1.46, 95 % CI: 1.17-1.82, P < 0.001), whereas such correlation didn't reach statistical significance within the non-T2DM group. The RCS model revealed a J-shaped nonlinear link between lnVAI and depression, with an inflection point value of 0.052. Mediation analysis indicated that diabetes accounted for 8.0 % of the correlation between lnVAI and depression. Furthermore, sensitivity analysis confirmed the consistency of these findings.

A J-shaped nonlinear dose-response relationship was observed between lnVAI and depression among American adults, with a threshold of 0.052. T2DM not only served as a mediator between the two variables but also modified their association.

Studies have shown that the presence of diabetes or depression may increase the risk for developing the other. The primary objective of this study is to describe the current prevalence of comorbid depression and the rate of screening and treatment for comorbid depression in US adult outpatients with diabetes compared to those without diabetes.

We analyzed data from the 2014-2019 National Ambulatory Medical Care Survey. Descriptive statistics, univariate analyses, and multivariable regression models were developed with weighting factors applied.

Depression prevalence is higher in those with diabetes than without diabetes. Females with diabetes have higher rates of depression (15.4%) compared to females without diabetes (13.7%) or males with diabetes (9.1%). Screening rates for depression are extremely low (<6%) in patients with diabetes and without diabetes. Patients with diabetes and depression are less likely to be screened than those with depression alone.

The cross-sectional design of the study cannot establish causality and has inherent limitations in capturing temporal relationships. The reliance on ICD codes limits the scope of diagnosis and underestimates rates of comorbidity if depression is not formally diagnosed. The NAMCS cohort only includes ambulatory visits to office-based physicians, so depression diagnoses and screening rates among patients who visit other health care settings or are not seeing physicians would be underestimated.

Depression is prevalent in people with diabetes. Screening rates are unacceptably low, indicating a gap in recommended care and underreporting of depression. More routine screening and treatment are necessary to align with guideline-recommended care.

The substantial evidence supporting the ketogenic diet (KD) in epilepsy management has spurred research into its effects on other neurological and psychiatric conditions. Despite differences in characteristics, symptoms, and underlying mechanisms, these conditions share common pathways that the KD may influence. The KD reverses metabolic dysfunction. Moreover, it has been shown to support neuroprotection through mechanisms such as neuronal energy support, inflammation reduction, amelioration of oxidative stress, and reversing mitochondrial dysfunction. The adequate intake of dietary nutrients is essential for maintaining normal brain functions, and strong evidence supports the role of nutrition in the treatment and prevention of many psychiatric and neurological disorders. Obsessive-compulsive disorder (OCD) is a neuropsychiatric condition marked by persistent, distressing thoughts or impulses (obsessions) and repetitive behaviors performed in response to these obsessions (compulsions). Recent studies have increasingly examined the role of nutrition and metabolic disorders in OCD. This narrative review examines current evidence on the potential role of the KD in the treatment of OCD. We explore research on the KD's effects on psychiatric disorders to assess its potential relevance for OCD treatment. Additionally, we identify key gaps in the preclinical and clinical research that warrant further study in applying the KD as a metabolic therapy for OCD.

Comorbid diseases complicate patient outcomes and escalate healthcare costs, necessitating the need for a deeper mechanistic understanding. Neuropsychiatric disorders (NPDs) such as Neurotic Disorder, Major Depression, Bipolar Disorder, Anxiety Disorder, and Schizophrenia significantly exacerbate Type 2 Diabetes Mellitus (DM2), often leading to suboptimal treatment outcomes. The neurobiological mechanisms underlying this comorbidity remain poorly understood. To address this gap, we developed a novel pathway-based network computational framework to identify critical shared disease mechanisms between DM2 and these five prevalent comorbid NPDs. Our approach involves reconstructing an integrated DM2 ∩ NPDs KEGG pathway-pathway network and employs two complementary analytical methods, including the "minimum path to comorbidity" method to identify the shortest path fostering comorbid development. This analysis uncovered shared pathways like the PI3K-Akt signaling pathway and highlighted key nodes such as calcium signaling, MAPK, estrogen signaling, and apoptosis pathways. Dysregulation of these pathways likely contributes to the development of DM2-NPDs comorbidity. These findings have significant clinical implications, as they identify promising therapeutic targets that could lead to more effective treatments addressing both DM2 and NPDs simultaneously. Our model not only elucidates the intricate molecular interactions driving this comorbidity but also identifies promising therapeutic targets, paving the way for innovative treatment strategies. Additionally, the framework developed in this study can be adapted to study other complex comorbid conditions, advancing personalized medicine for comorbidities and improving patient care.

We examined trajectories of depressive symptoms and their predictors in adults with diabetes. We assessed whether these trajectories were related to life satisfaction and mortality.

Longitudinal, prospective observational study.

We analysed data from 1217 adults with diabetes (aged ≥45 years) in the Korean Longitudinal Study of Aging (2006-2018).

Three trajectories of depressive symptomology were identified in growth mixture models: low/stable (i.e., low and stable levels of symptoms; 85.56%), high/decreasing (i.e., high levels of symptoms with a decreasing trajectory; 7.47%), and moderate/increasing (i.e., moderate levels of symptoms with an increasing trajectory; 6.98%). Participants with poor perceived health status at baseline were more likely to be in the moderate/increasing or high/decreasing classes than in the low/stable class. The moderate/increasing class had the lowest satisfaction with quality of life, followed by the high/decreasing and low/stable classes. The moderate/increasing and the high/decreasing classes had lower satisfaction with relationships with spouse and children than the low/stable class. The high/decreasing class had a higher mortality risk than the low/stable class.

Long-term monitoring of depressive symptoms in adults with diabetes is warranted given their potential adverse impact on life satisfaction and mortality.

Using a cohort of 544 postpartum mothers, 6 weeks to 12 months post-delivery in the largely rural Makueni County in Kenya, we aimed to determine: (1) the prevalence of postpartum depression (PPD) and the prevalence of each of the four domains of intimate partner violence (IPV), that is physical violence, sexual violence, emotional violence, and controlling behavior; (2) the co-occurrence of PPD and IPV; (3) risk factors and associations between sociodemographic variables and IPV, PPD and IPV and PPD co-occurring. We concurrently administered a researcher-designed sociodemographic ad hoc questionnaire, the WHO Intimate Partner Violence questionnaire and the Mini-International Neuropsychiatric Interview for adults (MINI Plus) for DSM-IV/ICD10 depression. The prevalence of PPD was 14.5%; Emotional violence 80.3%; Controlling behavior 74.4% (a form of emotional violence); Physical violence 40.3%; Sexual violence 28.9%. We found the following overlaps: 39% of participants reported both physical and emotional violence; 39% had both sexual and emotional violence; 15% experienced physical and sexual violence; and 15% of participants reported physical, sexual, and emotional violence. Postpartum depression was associated with physical violence during pregnancy, self-employed status, history of mood disorders and medical problems in the child. Further, we report associations between various types of IPV and history of depression, physical violence during pregnancy, low education level, marital status, and current depression diagnosis. IPV and PPD were highly prevalent in our population of postpartum mothers. Various types of IPV were significantly associated with various sociodemographic indicators while only sexual violence was significantly associated with PPD. Based on our results, we provide suggestions for potential interventions in the Kenyan setting.

Common psychiatric disorders (CPDs) and depression contribute significantly to the global epidemic of type 2 diabetes (T2D). We postulated a possible pathophysiological mechanism that through Bridge-Symptoms present in depression and CPDs, promotes the establishment of emotional eating, activation of the reward system, onset of overweight and obesity and, ultimately the increased risk of developing T2D. The plausibility of the proposed pathophysiological mechanism is supported by the mechanism of action of drugs such as naltrexone-bupropion currently approved for the treatment of both obesity/overweight with T2D and as separate active pharmaceutical ingredients in drug addiction, but also from initial evidence that is emerging regarding glucagon-like peptide 1 receptor agonists that appear to be effective in the treatment of drug addiction. We hope that our hypothesis may be useful in interpreting the higher prevalence of CPDs and depression in patients with T2D compared with the general population and may help refine the integrated psychiatric-diabetic therapy approach to improve the treatment and or remission of T2D.

Diabetes and/or hypertension are the most common conditions in older people, and also related to higher cardiovascular disease (CVD) incidence and mortality. This study aims to explore the risk of CVD incidence and mortality among older people with diabetes and/or hypertension over a 16 years follow-up period and investigates the role of depression and obesity in these relationships.

6,855 participants aged 50+ from the English Longitudinal Study of Ageing (ELSA). The main exposure is having diabetes and/or hypertension at baseline (2002/2003) compared to not having, but excluded those with coronary heart disease (CHD) and/or stroke (CVD). Survival models are used for CVD incidence and mortality up to 2018, adjusted for socio-demographic, health, health behaviours, cognitive function, and physical function characteristics.

39.3% of people at baseline had diabetes and/or hypertension. The risk of CVD incidence was 1.7 (95%CI: 1.5; 1.9) higher among people with diabetes and/or hypertension compared to those without and was independent of covariates adjustment. People with diabetes and/or hypertension were also 1.3 (95%CI: 1.1; 1.8) times more likely to die from CVD than those without. We did not find evidence for an elevated risk of CVD incidence and mortality among people with obesity nor among those with depression.

In order to effectively reduce the risk of CVD incidence and mortality among older people, treatment as well as management of hypertension and diabetes should be routinely considered for older people with diabetes and/or hypertension.

This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes mellitus in a Kenyan diabetes clinic. This study was part of a large multicentre study whose protocol and results had been published. It took place at the outpatient diabetes clinic at a County Teaching and Referral Hospital in South East Kenya involving 182 participants. We used a socio-demographic questionnaire, the Hamilton Depression (HAM-D) and PHQ-9 rating scales for depression, the MINI International Neuropsychiatric Interview (MINI; V5 or V6) for DSM-5 diagnoses, the WHO-5 Well-being scale and Problem Areas in Diabetes Scale (PAID). We extracted from the notes all physical conditions. We enquired about similar conditions in 1st and 2nd degree relatives. Descriptive, Chi-square test, Fisher's exact test, one way ANOVA, and Multinomial logistic regression analysis were conducted to test achievements of our specific aims. Of the 182 patients who participated in the study, 45.1% (82/182) reported a family history of diabetes. Conditions significantly (p < 0.05) associated with a degree of family history of diabetes were retinopathy, duration of diabetes (years), hypertension, and depressive disorder. On average 11.5% (21/182) scored severe depression (≥ 10) on PHQ-9 and 85.2% (115/182) scored good well-being (≥ 13 points). All DSM-5 psychiatric conditions were found in the 182 patients in varying prevalence regardless of relations. In addition, amongst the 182 patients, the highest prevalence was poor well-being on the WHO quality of life tool. This was followed by post-traumatic disorders (current), suicidality, and psychotic lifetime on DSM-5. The least prevalent on DSM-5 was eating disorders. Some type 2 diabetes mellitus physical disorders and depression have increased incidence in closely related patients. Overall, for all the patients, the prevalence of all DSM-5 diagnoses varied from 0.5 to 9.9%.

Depression is one of the common manifestations of diabetes population, and previous studies have shown that there is a correlation between depression and diabetes. This study was conducted retrospectively through the large National Health and Nutrition Examination Survey (NHANES) to explore the risk of depression in different individuals with diabetes.

We collected data on a total of 33,001 individuals in 5 cycles of NHANES and compared the incidence of depression in the individuals with diabetes, pre-diabetes or without diabetes groups after weighting. A weighted logistic review was used to assess the association between diabetes and depression at different BMI, sex, and age levels. Mediating analysis was used to assess the risk of depression in people with obesity-mediated diabetes. In addition, the non-linear relationship between BMI and depression at different factor levels was evaluated using restricted cubic strips (RCS).

Diabetes was significantly associated with depression in obesity, especially for female (OR: 1.45, 95 % CI: 1.20-1.75, P < 0.001) and young (

CONCLUSIONS

There is a significant correlation between diabetes and depression, and obesity as a mediating variable mediates the correlation between diabetes and depression. Especially in obese, young (age < 60) and women, the phenomenon is more pronounced.

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To investigate the incidence of depression in middle-aged and elderly patients with diabetes in China and the influencing factors to provide a theoretical basis to improve the mental health of middle-aged and elderly patients with diabetes and formulate prevention, control, and intervention strategies.

The sample of this study was obtained from the China Health and Aging Tracking Survey (CHARLS) 2018 survey data, and middle-aged and older patients with diabetes(responding "Yes" to the questionnaire: "Have you ever been told by a doctor that you have diabetes or elevated blood glucose [including abnormal glucose tolerance and elevated fasting glucose]?") aged ≥ 45 years were selected as study subjects (n = 2,613 ). Depressive symptoms of the study subjects were determined using the simplified version of the Depression Scale for Epidemiological Surveys scores(a score ≥ 10 was defined as depression), influence factors were analyzed using binary logistic regression, and proportion of depressive symptoms was standardized using the sex ratio of the seventh census.

Among the 2,613 middle-aged and elderly patients with diabetes, 1782 (68.2%) had depressive symptoms and 831 (31.8%) had no depressive symptoms. There were 481 (27.0%) patients aged 45-59 years, 978 (54.9%) aged 60-74 years, and 323 (18.1%) aged ≥ 75 years. The depression rate among middle-aged and elderly Chinese patients with diabetes after standardization correction was 67.5%. Binary logistic regression results showed that age, education level, life satisfaction, marital satisfaction, self-rated health grade, somatic pain, visual impairment, physical disability, and the presence of comorbid chronic diseases were factors that influenced the onset of depression in middle-aged and elderly Chinese patients with diabetes (P < 0.05).

According to a survey analysis of the CHARLS 2018 data, depression is influenced by a combination of factors among middle-aged and elderly patients with diabetes in China. Therefore, for this population, targeted prevention and control should be carried out for key populations, such as middle-aged and elderly people, poor physical health, and low life satisfaction and marital satisfaction, from various dimensions (e.g., demographic and sociological factors, physical health status, and life satisfaction and marital satisfaction).

Hyperglycemia constitutes a likely pathway linking diabetes and depressive symptoms; lowering glycemic levels may help reduce diabetes-comorbid depressive symptoms. Since randomized controlled trials can help understand temporal associations, we systematically reviewed the evidence regarding the potential association of hemoglobin HbA1c lowering interventions with depressive symptoms.

PubMed, PsycINFO, CINAHL, and EMBASE databases were searched for randomized controlled trials evaluating HbA1c-lowering interventions and including assessment of depressive symptoms published between 01/2000-09/2020. Study quality was evaluated using the Cochrane Risk of Bias tool. PROSPERO registration: CRD42020215541.

We retrieved 1,642 studies of which twelve met our inclusion criteria. Nine studies had high and three unclear risks of bias. Baseline depressive symptom scores suggest elevated depressive symptoms in five studies. Baseline HbA1c was <8.0% (<64 mmol/mol) in two, 8.0-9.0% (64-75 mmol/mol) in eight, and ≥10.0% (≥86 mmol/mol) in two studies. Five studies found greater HbA1c reduction in the treatment group; three of these found greater depressive symptom reduction in the treatment group. Of four studies analyzing whether the change in HbA1c was associated with the change in depressive symptoms, none found a significant association. The main limitation of these studies was relatively low levels of depressive symptoms at baseline, limiting the ability to show a lowering in depressive symptoms after HbA1c reduction.

We found insufficient available data to estimate the association between HbA1c reduction and depressive symptom change following glucose-lowering treatment. Our findings point to an important gap in the diabetes treatment literature. Future clinical trials testing interventions to improve glycemic outcomes might consider measuring depressive symptoms as an outcome to enable analyses of this association.

Electronic mental health interventions are effective but not well promoted currently among older adults. This study sought to systematically review and summarize the barriers and facilitators of accepting and implementing electronic mental health interventions among older adults.

We comprehensively retrieved six electronic databases from January 2012 to September 2022: PubMed, Web of Science, Embase, Scopus, PsycINFO, and CINAHL. The JBI-QARI was used to assess the quality of the research methodology of each publication. Eligible studies underwent data coding and synthesis aligned to inductive and deductive methods. The Consolidated Framework for Implementation Research 2.0 was used as a deductive framework to guide a more structured analysis.

The systematic review screened 4309 articles, 17 of which were included (eight with mixed methods and nine with qualitative methods). We identified and extracted the barriers and facilitators of accepting and implementing electronic mental health interventions among older adults: (1) innovation: technology challenges, optimized functions, and contents, security and privacy; (2) outer setting: community engagement and partnerships, financing; (3) inner setting: leadership engagement, available resources, incompatibility, intergenerational support, training and guidance; (4) individuals: perceptions, capability, motivation of older adults and healthcare providers; and (5) implementation process: recruit, external assistance, and team.

These findings are critical to optimizing, promoting, and expanding electronic mental health interventions among older adults. The systematic review also provides a reference for better evidence-based implementation strategies in the future.

For better disease management and improved prognosis, early identification of co-morbid depression in diabetic patients is warranted. the WHO-5 well-being index (WHO-5) has been used to screen for depression in diabetic patients, and its Chinese version (WHO-5-C) has been validated. However, its psychometric properties remain to be further validated in the type 2 diabetes patient population. The aim of our study was to examine the reliability and validity of the WHO-5-C in patients with type 2 diabetes mellitus.

The cross-sectional study was conducted on 200 patients from July 2014 to March 2015. All patients should complete the WHO-5-C, the Patient Health Questionnaire-9 (PHQ-9), the 20-item Problem Areas in Diabetes Scale (PAID-20), the Mini International Neuropsychiatric Interview (M.I.N.I), and Hamilton Rating Scale for Depression (HAM-D). Internal consistency of WHO-5 was revealed by Cronbach's alpha, and constructive validity by confirmatory factor analysis (CFA). Relationship with PHQ-9, HAM-D, and PAID-20 was examined for concurrent validity, and ROC analysis was performed for criterion validity.

The WHO-5-C presented satisfactory reliability (Cronbach's alpha = 0.88). CFA confirmed the unidimensional factor structure of WHO-5-C. The WHO-5-C had significant negative correlation with HAM-D (r = -0.610), PHQ-9 (r = -0.694) and PAID-20 (r = -0.466), confirming good concurrent validity. Using M.I.N.I as the gold standard, the cut-off value of WHO-5-C was 42, with a sensitivity of 0.83 and specificity of 0.75.

The WHO-5-C holds satisfactory reliability and validity that is suitable for depression screening in type 2 diabetes patients as a short and convenient instrument.

Collaborative care models for depression have been successful in a variety of settings, but their success may differ by patient engagement. We conducted a post-hoc analysis of the INDEPENDENT trial to investigate the role of differential engagement of participants on health outcomes over 3 years.

INDEPENDENT study was a parallel, single-blinded, randomised clinical trial conducted at four socio-economically diverse clinics in India. Participants were randomised to receive either active collaborative care or usual care for 12 months and followed up for 24 months.

We grouped intervention participants by engagement, defined as moderate (≤7 visits) or high, (8 or more visits) and compared them with usual care participants. Improvements in composite measure (depressive symptoms and at least one of three cardio-metabolic) were the primary outcome.

Mean levels of depression and cardio-metabolic measures were analysed over time using computer package IBM SPSS Statistics 25.

The composite outcome was sustained the highest in the moderate engagers [27.5%, 95% confidence interval (CI): 19.5, 36.7] and the lowest in high engagers (15.8%, 95% CI: 8.1, 26.8). This pattern was observed for individual parameters - depressive symptoms and glycosylated haemoglobin. Progressive reductions in mean depressive symptom scores were observed for moderate engagers and usual care group from baseline to 36 months. However, in high engagers of collaborative care, mean depressive symptoms were higher at 36 months compared to 12 months.

Sustained benefits of collaborative care were larger in participants with moderate engagement compared with high engagement, although a majority of participants relapsed on one or more outcome measures by 36 months. High engagers of collaborative care for co-morbid depression and diabetes may need light touch interventions for longer periods to maintain health and reduce depressive symptoms.

Major depressive disorder (MDD) is a mood disorder characterized by persistent spontaneous depression and has a high rate of disability and mortality. There is a complex relationship between MDD and disorders of glucose metabolism, and our study aimed to investigate the prevalence and risk factors for hyperglycemia in patients with MDD who were hospitalized for the first times.

A total of 981 first-time inpatients with MDD were recruited, socio-demographic information, anthropometric data, and biochemical parameters were collected for each participant. The 17-item Hamilton Assessment Scale for Depression (HAMD-17), the 14-item Hamilton Anxiety Scale (HAMA-14), the Positive Syndrome Scale (PSS), and Clinical General Impressions Inventory-Severity of Illness (CGI-SI) scores were used to assess patients' clinical symptoms.

The prevalence of hyperglycemia was 9.28% among patients with MDD who were hospitalized for the first time. Compared to the non-hyperglycemic subgroup, patients in the hyperglycemic subgroup were found to have more extensive and significant demographic and clinical characteristics, higher levels of metabolism-related parameters, and more severe psychological and psycho-pathological symptoms. Age, thyroid stimulating hormone (TSH), triglycerides (TG) were risk factors for hyperglycemia in MDD patients, while course of disease was a protective factor.

The study findings suggest that the prevalence of hyperglycemia is not high in patients with MDD who are hospitalized for the first time. The risk variables for predicting hyperglycemia include age, TSH and TG. The above three factors and course of disease have good combined diagnostic ability for hyperglycemia.

The high disease burden of type 2 diabetes seriously affects the quality of life of patients, and with the deep integration of the Internet and healthcare, the application of electronic tools and information technology to has become a trend for disease management. The aim of this study was to evaluate the effectiveness of different forms and durations of E-health interventions in achieving glycemic control in type 2 diabetes patients. PubMed, Embase, Cochrane, and Clinical Trials.gov were searched for randomized controlled trials reporting different forms of E-health intervention for glycemic control in type 2 diabetes patients, including comprehensive measures (CM), smartphone applications (SA), phone calls (PC), short message service (SMS), websites (W), wearable devices (WD), and usual care. The inclusion criteria were as follows: (1) adults (age≥18) with type 2 diabetes mellitus; (2) intervention period ≥1 month; (3) outcome HbA1c (%); and (4) randomized control of E-health based approaches. Cochrane tools were used to assess the risk of bias. R 4.1.2 was used to conduct the Bayesian network meta-analysis. A total of 88 studies with 13,972 type 2 diabetes patients were included. Compared to the usual care group, the SMS-based intervention was superior in reducing HbA1c levels (mean difference (MD)-0.56, 95% confidence interval (CI): -0.82 to -0.31), followed by SA (MD-0.45, 95% CI: -0.61 to -0.30), CM (MD-0.41, 95% CI: -0.57 to -0.25), W (MD-0.39, 95% CI: -0.60 to -0.18) and PC (MD-0.32, 95% CI: -0.50 to -0.14) (p < 0.05). Subgroup analysis revealed that intervention durations of ≤6 months were most effective. All type of E-health based approaches can improve glycemic control in patients with type 2 diabetes. SMS is a high-frequency, low-barrier technology that achieves the best effect in lowering HbA1c, with ≤6 months being the optimal intervention duration.

https://www.crd.york.ac.uk/prospero, identifier CRD42022299896.

Adolescents with type 1 diabetes (T1D) are at increased risk for depression. A history of recurrent depression (HRD) may relate to worse health outcomes than single-episode depression. However, no study has explored this issue among T1D adolescents.

We examined differences in psychosocial and diabetes-related outcomes between T1D adolescents with (G1; n = 33) and without (G2; n = 18) HRD. Participants were 51 youths (aged 12-17 years) enrolled in a depression treatment study. Youths and one caregiver each completed several measures. Using MANOVA, followed by individual ANOVAs, and chi-square tests, we compared groups in continuous and categorical variables, respectively.

MANOVA results were significant, F(7, 43) = 3.97, p = .002. Adolescents from G1 obtained higher scores than youths in G2 in self-esteem/guilt problems, cognitive alterations, and sadness due to T1D. Their caregivers reported more burden and rated their offspring as having more internalizing problems, facing more barriers to complying with T1D treatment, and using a medical ID less frequently than their counterparts did. A higher percentage of G1 participants presented clinical anxiety and inadequate glycemic control, and reported a history of major depression. According to caregivers, a higher proportion of G1 members had experienced multiple diabetes-related hospitalizations, were non-compliant with insulin treatment, and lived in homes with a conflictive environment.

Our study documents important differences in outcomes between T1D youths with vs. without any HRD. Clinicians may need an intensive and integrative approach to treat mental and physical aspects of health among these patients.

We evaluate the effectiveness of psychological interventions for depression in people with NCDs in South Asia and explore the individual, organizational, and policy-level barriers and facilitators for the implementation and scaling up of these interventions. Eight databases (and local web pages) were searched in May 2022. We conducted random effects models to evaluate the pooled effect of psychological interventions on depression in people with NCDs. We extracted the individual, organizational, and policy level barriers and facilitators. We found five randomized control trials, nine qualitative studies, and 35 policy documents that fitted the inclusion criteria. The pooled standardized mean difference in depression comparing psychological interventions with usual care was -2.31 (95% CI, -4.16 to -0.45; p = .015, I2 = 96.0%). We found barriers and facilitators to intervention delivery, mental health appears in the policy agenda in Bangladesh and Pakistan. However, there is a lack of policies relating to training in mental health for NCD health providers and a lack of integration of mental health care with NCD care. All of the psychological interventions reported to be effective in treating depression in this population. There are important delivery and policy barriers to the implementation and scaling up of psychological interventions for people with NCDs.

The prevalence of liver fibrosis among diabetic patients is increasing rapidly. Our study aims at exploring the relationship between antidepressant use and liver fibrosis in diabetic patients.

We conducted this cross-sectional study through the cycle of National Health and Nutrition Examination Survey (NHANES) 2017-2018. The study population were consisted of patients with type 2 diabetes and reliable vibration-controlled transient elastography (VCTE) results. The presence of liver fibrosis and steatosis were assessed by the median values of liver stiffness measurement (LSM) and controlled attenuation parameter (CAP), respectively. Antidepressants included selective serotonin reuptake inhibitors (SSRIs), tricyclic antidepressants (TCAs), serotonin and norepinephrine reuptake inhibitors (SNRIs) and serotonin antagonists and reuptake inhibitors (SARIs). Patients with evidence of viral hepatitis and significant alcohol consumption were excluded. Logistic regression analysis was performed to evaluate the association between antidepressant use and both steatosis and significant (≥ F3) liver fibrosis after adjustment for potential confounders.

Our study population consisted of 340 women and 414 men, of whom 87 women(61.3%) and 55(38.7%) men received antidepressants. The most commonly used antidepressants were SSNIs(48.6%), SNRIs(22.5%) and TCAs(12.7%), followed by SARIs(10.6%) and other antidepressants(5.6%). 165 participants had significant liver fibrosis by VCTE, with a weighted overall prevalence of 24%(95% CI 19.2-29.5). In addition, 510 patients had evidence of hepatic steatosis by VCTE with a weighted overall prevalence of 75.4%(95% CI 69.2-80.7). After adjusting confounders, no significant association was observed between antidepressant use and significant liver fibrosis or cirrhosis.

In conclusion, in this cross-sectional study, we found that antidepressant drugs was not associated with liver fibrosis and cirrhosis in patients with type 2 diabetes in a nationwide population.

Common Psychiatric Disorders (CPDs) are associated with the development of overweight and obesity, the strongest risk factors for the onset and maintenance of Type 2 Diabetes mellitus (T2D). To the best of our knowledge, this is the first study to assess the prevalence of CPDs in patients with T2D in Italy.

This is a monocentric cross-sectional study; n = 184 T2D patients were screened for CPDs using the Patient Health Questionnaire (PHQ). Primary outcome was to evaluate the prevalence of CPDs. To assess association between CPDs and risk factors, we have utilized univariable logistic regression models.

64.1% were men, median age was 67 (59-64) and median BMI 27 (25-30) kg/m2. The 42.9% tested positive for one or more mental disorders, 25.6% for depression. Patients with higher BMI (p = 0.04) had an increased likelihood of testing positive to the PHQ. Patients who had implemented lifestyle changes (p < 0.01) and were aware that mental health is linked to body health (p = 0.07) had a reduction in the likelihood of testing positive.

Prevalence of CPDs in T2D patients is higher than in the general population. Since CPDs favor the onset and subsistence of T2D, integrated diabetic-psychiatric therapy is required for improvement or remission of T2D in patients with comorbid CPDs.

Anxiety disorders (AXD) are among the most prevalent mental health conditions in patients with type 2 diabetes (T2D). Previous data have established an association of other psychiatric conditions with poor metabolic control and increased odds of diabetes-related complications. Nonetheless, follow-up information about the effects of AXD on the metabolic control of patients with TD2 is still limited.

Evaluate the effects of AXD on the metabolic parameters of patients with T2D over 12 months of follow-up in a multidisciplinary comprehensive care model.

Prospective study of T2D subjects enrolled in a comprehensive care program with follow-up at 3 and 12 months of treatment. Patients were assessed using the Mini-International Neuropsychiatric Interview and the Hospital Anxiety and Depression Scale (HADS). We registered clinical and metabolic characteristics from each visit. Metabolic parameters over time were analyzed with a mixed model of repeated measures using AXD and time as interaction variables.

Our sample included 2703 patients at baseline, and 1161 (43%) subjects continued the follow-up at 12 months. The AXD group had more females, lower age, and fewer years of formal education compared with subjects without AXD at baseline, 3 and 12 months. Patients with AXD also reported higher mean fasting glucose at three months, and higher HbA1c at three and 12 months. Our MMRM for HbA1c reported significant differences over time in subjects with and without AXD. The differences in means between groups increased from 0.17% at three months to 0.31% at 12 months. The variables from the HADS anxiety score, sex, age, years of diagnosis, and insulin treatment were also associated with HbA1c parameters over time.

Patients with AXD had the worst glycemic control at 3 and 12 months of follow-up. HbA1c differences in patients with AXD compared with non-AXD subjects increases over time in association with anxiety symptoms.

To assess the a) prevalence, b) factors associated, and c) effect on self-care practices (SCP) of diabetes related distress (DRD) among patients with Type 2 Diabetes Mellitus (T2DM) in rural Punjab, India.

Amongst the cohort of 700 patients, the Diabetes Distress Scale-17 (DDS-17) was used to assess DRD and the Summary of Diabetes Self Care Activities scale (SDSCA) for diabetes SCP. Multivariable logistic regression identified the factors associated with DRD.

DRD was universal [severe or moderate in 391 (56%) and 309 (44%) patients, respectively]. Hypertension increased the odds of severe DRD [aOR 3.47; 95% CI:2.48-4.87, p-<0.01] whereas living in a joint family reduced the odds of severe DRD [aOR 0.68; 95% CI: 0.47-0.97, p- 0.03]. Patients with severe DRD were less likely to perform DM SCPs [aOR 0.53; 95% CI:0.32-0.85, p-0.01].

The burden of DRD was alarmingly high. There is an urgent need to screen, prevent and treat DRD to improve selfcare in T2DM.

Utilising coping strategies to reduce and manage the intensity of negative and distressing emotions caused by diabetes is essential. However, little is known about the use of coping strategies among people living with diabetes in Sub-Saharan African countries like Zambia. This study investigates coping strategies used by people with diabetes in Zambia and how these are associated with diabetes-specific emotional distress, depression and diabetes self-care.

Cross-sectional data from 157 people with diabetes aged between 12 and 68 years were collected. Of the 157, 59% were people with type 1 diabetes and 37% with type 2 diabetes. About 4% had missing information in their record but had either type 1 or type 2 diabetes. Coping styles were measured using the Brief Version of the Coping Orientation to Problems Experienced (Brief COPE), diabetes specific-distress using the Problem Areas in Diabetes, depression using the Major Depression Inventory and self-care using the Diabetes Self-Care scale.

Data showed that adaptive coping strategies such as religious coping, acceptance among others, were the most frequently used coping strategies among Zambian individuals with diabetes. Maladaptive coping strategies e.g., self-blame and self-distraction were related to increased diabetes specific-distress and depression. Emotional support was related to better diabetes self-care, while self-blame was related to poor diabetes self-care.

There is need to help individuals with diabetes identify adaptive strategies that work best for them in order to improve their quality of life.

To systematically evaluate the effect of nursing intervention on children with type 2 diabetes.

The randomized controlled trials (RCTs) on nursing intervention in children with type 2 diabetes in CNKI, VIP, WanFang, Chinese Biomedical Database (CBM), PubMed, The Cochrane Library, Embase, and Science were searched by the computer until July 2022. Two evaluators reviewed the articles, selected the information, and assessed their quality according to the inclusion criteria and exclusion criteria and then carried out meta-analysis with RevMan 5.3.

A total of 5 RCT studies were kept, including 319 patients with type 2 diabetes (≤21 years old), where 162 patients were in the nursing group and 157 patients were in the control group. Meta-analysis revealed that, compared with routine nursing, nursing intervention could effectively control children's fasting blood glucose (FBG) (MD = -1.68, 95% CI (-2.19, -1.17), P < 0.00001), 2 h postprandial blood glucose (2hPG) (MD = -4.01, 95% CI (-4.70, -3.33), P < 0.00001), fasting insulin (FINS) (MD = -7.42, 95% CI (-10.63, -4.20), P < 0.00001), 2 h postprandial insulin (2hINS) (MD = -58.18, 95% CI (-103.24, -13.11), P = 0.01), triglycerides (TG) (MD = -0.41, 95% CI (-0.56, -0.25), P < 0.00001), and systolic blood pressure (SBP) (MD = -8.85, 95% CI (-14.67, -3.03), P = 0.003) and effectively maintain patients' blood glucose at a normal level (MD = -8.85, 95% CI (-14.67, -3.03), P = 0.003), where all the differences were statistically significant.

The existing evidence showed that nursing intervention has a significant effect in controlling normal blood glucose and improving insulin utilization in children with type 2 diabetes, which can effectively improve the therapeutic effect on children.

While a growing body of research highlights a bi-directional link between diabetes and mood disorders, little is known about the relationship between diabetes and obsessive-compulsive disorder (OCD). The aim of the present review is to investigate current evidence linking OCD, insulin-signaling and diabetes.

A PubMed search was conducted to review all the available studies assessing diabetes, glucose metabolism and insulin-signaling in OCD patients and vice versa.

Some clinical and epidemiological studies show a higher prevalence of diabetes in OCD and vice versa compared to the general population. Animal and genetic studies suggest a possible role of insulin-signaling in the pathophysiology of OCD. Deep brain stimulation (DBS) studies suggest that abnormal dopaminergic transmission in the striatum may contribute to impaired insulin sensitivity in OCD. While DBS seems to increase insulin sensitivity, a possible protective role of serotonin reuptake-inhibitors on diabetic risk needs further studies.

Despite their preliminary nature, these data highlight the importance of further investigations aimed at assessing metabolic features in OCD patients and OCD symptoms in diabetes patients to understand the impact of each condition on the pathophysiology and course of the other. Understanding the role of insulin in the obsessive-compulsive brain could open new treatment pathways for OCD.

The prevalence of type 2 diabetes mellitus (T2DM) is increasing in China. Depression in patients with T2DM interferes with blood glucose management, leads to poor treatment outcomes, and has a high risk of dementia and cardiovascular event. We conducted this systematic review and meta-analysis to evaluate the prevalence of depression in patients with T2DM in China and explore potential risk factors associated with depression in T2DM.

We conducted a literature search in MEDLINE/PubMed, EMBASE, the Cochrane Library, the Chinese Biomedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), the Chinese Science and Technology Periodical Database (VIP), and the Wanfang Database from their inception to February 25, 2022 to include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese T2DM patients and studied possible risk factors. Gray literature and reference lists were also manually searched. We used the Agency for Healthcare Research and Quality methodology checklist to assess the risk of bias in the included studies. Two reviewers screened studies, extracted data, and evaluated the risk of bias independently. The primary outcome was the pooled prevalence of depression in Chinese T2DM patients, and the secondary outcomes included potential risk factors for depression in T2DM patients. R (version 3.6.1) and Stata (version 12.0) software were used for data synthesis.

We included 48 reports that identified 108,678 subjects. Among the included reports, 4 were rated as low risk of bias, 40 moderate risks of bias, and 4 high risks of bias. The prevalence of depression in T2DM patients in China was 25.9% (95% CI 20.6%-31.6%). The prevalence of depression was higher in women (OR = 1.36, 95% CI 1.19-1.54), subjects ≥60 years (OR = 1.56, 95% CI 1.14-2.14), with a primary school or lower education (vs. middle or high school education (OR = 1.49, 95% CI 1.16 - 1.92); vs. college degree or higher education (OR = 1.84, 95% CI 1.16 - 2.92), with a duration of T2DM ≥ 10 years (OR = 1.68, 95% CI 1.11-2.54), with complications (OR = 1.90, 95% CI 1.53-2.36), insulin users (OR = 1.46, 95% CI 1.09-1.96) and individuals living alone (OR = 2.26, 95% CI 1.71-2.98). T2DM patients with current alcohol use had a lower prevalence of depression (OR = 0.70, 95% CI 0.58-0.86). Prevalence varied from 0.8 to 52.6% according to different instruments used to detect depression.

The prevalence of depression in T2DM patients is remarkable in China. Potential risk factors of depression in T2DM patients included women, age ≥ 60 years, low educational level, complications, duration of diabetes ≥ 10 years, insulin use, and living alone. High-quality epidemiological investigations on the prevalence of depression in Chinese T2DM patients are needed to better understand the status of depression in T2DM.

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42020182979.

As the prevalence of long-term conditions continues to rise it becomes increasingly important to identify ways to mitigate their effects, including the psychological impact. In rural Kenya identifying people with diabetes or mental health problems is challenging due to the stigma and negative experiences within community settings.Four broad themes were identified; (1) misconceptions and stigma: the use of language, (2) treatment and medications, (3) community beliefs and alternative treatment pathways, (4) the role of informal and formal care.Our study demonstrated the detrimental effect of the use of stigmatising language and misconceptions surrounding diabetes and depression at both the individual and community levels. Inequalities in health care access were observed and a lack of resources in rural communities was evident. Improvements in support for health care workers at the community level as well as acknowledging the importance of informal care could help improve the psychological and emotional impact of diabetes and depression.

The aim of this integrative literature review was to investigate the prevalence of depression in adults diagnosed with type 2 diabetes within Europe and to examine the link between adults with type 2 diabetes and the risk of developing depression.

An integrative literature review using the databases CINAHL, Medline and PsycInfo to retrieve the most relevant articles on adults with type 2 diabetes and the risk of developing depression.

Gender, age and socio-economic status may increase the risk of an adult with type 2 diabetes developing depression.

Adults with type 2 diabetes are at a greater risk of developing depression, and factors such as age, gender and socio-economics also play a role in predicting whether a person with type 2 diabetes will develop depression. Screening tools such as Patient Health Questionnaire-2 (PHQ-2) may be used to assess for depression within GP surgeries at the time of diagnosis with type 2 diabetes.

This systematic review was conducted to determine the prevalence of mental disorders among children and adults in Uganda. A comprehensive systematic search for relevant studies reporting prevalence of mental disorders in children or adults in Uganda was conducted in PubMed, Embase, PsycINFO, Scopus, Web of Science databases and grey literature sources. Study was eligible if, validated instrument based on the International Classification of Diseases or Diagnostic and Statistical Manual of Mental Disorders criteria to assess a mental disorder was used. Eligible studies were critically appraised, prevalence data extracted and pooled using the random-effects model. Certainty in the pooled prevalence estimates was evaluated using the Grading of Recommendation, Assessment, Development and Evaluation approach. A total of 632 records were obtained, of which 26 articles from 24 studies conducted in Uganda were included in the review. Overall and with moderate level of certainty, the prevalence of any mental disorder in Uganda was 22.9% (95% C.I 11.0% - 34.9%) in children and 24.2% (95% C.I 19.8% - 28.6%) in adults. Prevalence of anxiety disorders was 14.4% (95% C.I 4.9% - 24.0%) in children and 20.2% (95% C.I 14.5% - 25.9%) in adults. The prevalence of current depressive disorders was 22.2% (95% C.I 9.2% - 35.2%) in children and 21.2% (95% C.I 16.8% - 25.6%) in adults. Eating disorder and psychotic syndrome disorder were also reported. Our findings suggest that depression and anxiety disorders are common mental disorders in Uganda, affecting approximately one in four persons. The findings provide essential insights for health service planning, clinical practice, and future epidemiological research in Uganda.

The neuropsychiatric symptoms and disorders among endocrine disorders are discussed in the context of current global and local epidemiological data. Neuropsychiatric symptoms, clinical differentials in hypothyroidism, hyperthyroidism, and parathyroid disorders, and relevant management protocols are described. HPT axis and its interaction with psychotropic usage are mentioned. Stress diathesis, depression, anxiety disorders, and severe mental illnesses and their respective association with diabetes, the relevant mechanisms, and management protocols are stated. The metabolic syndrome, its definition, and its relationship to psychotropic usage are laid out. Moreso, best clinical practices for scenarios such as hyperprolactinemia and psychiatric illnesses, and steroid-induced psychosis are mentioned.

There are limited data on the role of body image in patients with type 2 diabetes. The purpose of this study was to compare body self-esteem in this group with norms for the general Polish population and to investigate the relationship between body self-esteem and the psychological and clinical characteristics of the course of diabetes.

A group of 100 consecutive adult patients with type 2 diabetes (49 women and 51 men) aged 35 to 66 years were assessed using the Body Esteem Scale (BES), World Health Organization-Five Well-Being Index (WHO-5), Problem Areas in Diabetes Scale (PAID), and Hamilton Rating Scale for Depression (HAM-D).

In comparison to norms for the general population, women with type 2 diabetes had lower body self-esteem only in the dimension of Physical Condition (M = 30.71; SD = 7.11 versus M = 32.96; SD = 5.69; P = 0.003), whereas men in the dimensions of Physical Condition (M = 42.43; SD = 9.43 versus M = 48.30; SD = 8.42; P <0.001) and Upper Body Strength (M = 32.16; SD = 6.60 versus M = 33.97; SD = 5.86; P = 0.015). There were moderate or weak positive correlations between the overall BES score and/or its dimensions and subjective well-being, and negative correlations between the overall BES score and/or its dimension and the severity of depression symptoms, level of glycated hemoglobin (HbA1c), body mass index (BMI), and diabetes-related distress among women. Among men, BES scores were positively correlated with well-being, and negatively, with BMI and diabetes-related distress. A correlation of r = 0.39 between BES scores and HbA1c levels was relatively high compared with values for other psychosocial factors. Both in women and men, a high Physical Condition score was a significant predictor of better well-being, less severe depression, and milder diabetes-related distress. Among men, it was also a significant predictor of lower BMI, whereas among women, BMI was predicted by Weight Concern.

Persons with diabetes seem to have lower body self-esteem than the general population, which is significantly associated with clinical and psychological characteristics of the diabetes course. The observed differences and relationships are gender-specific.

The aim of this study was to assess the relationship between the occurrence and number of T2DM complications with sociodemographic (age, sex, habitation, education), clinical (duration of diabetes, HbA1c (%), BMI) and psychological (well-being, sense of influence on the diabetes course, coping styles) variables.

A total of 2574 adult patients were assessed using The Sense of Influence on the Diabetes Course Scale, WHO-5 Well-Being Index, and the Brief Method of Evaluating Coping with Disease. Hierarchical Regression Analysis was conducted with number of complications as the dependent variable and three sets of variables entered in sequential steps: (a) sociodemographic; (b) clinical and (c) psychological factors. Logistic regression analysis was used to examine the association of these variables with diabetes complications' occurrence.

A higher number of complications and higher odds ratios of occurrence of complications were associated with sociodemographic and clinical variables, poor well-being, low perception of influence on the diabetes course, and an emotion-oriented coping style. The logistic regression indicated that participants with HbA1c >7% (in comparison with HbA1c ≤ 7%) and with high risk of depression (in comparison with no risk of depression) had respectively 68% and 86% higher odds of developing complications.

The number of complications has weak but statistically significant relations with psychological and clinical factors.

The results support the rationale of including the psychosocial factors in the context of diabetes management.