It is unclear whether psychological distress is an independent risk factor for cardiometabolic disease and multimorbidity. This cohort study investigated the relationship of psychological distress with incident cardiometabolic disease and multimorbidity.

All individuals who participated in the sixth survey of the Tromsø Study, conducted in Norway in 2007-2008, and completed the 10-item version of Hopkins Symptom Checklist (HSCL-10) were included. In total, 5264 individuals who had no cardiometabolic diseases, i.e. atrial fibrillation, coronary artery disease (CAD), diabetes, hypertension, and stroke, at baseline, and participated in the seventh survey (2015-2016) were included in the final study population. Multivariable logistic regression models were fitted to assess association of HSCL-10 score and clinically relevant psychological distress (HSCL-10 ≥ 1.85) with cardiometabolic disease and multimorbidity.

At baseline, 325 (6.2%) individuals had psychological distress. Psychological distress was negatively correlated with higher education, exercise frequency, and systolic blood pressure and positively correlated with smoking and alcohol use. Incidence of cardiometabolic disease and multimorbidity was 23.7% (N = 1246) and 3.9% (N = 204), respectively. Psychological distress was linked to cardiometabolic disease (OR, 2.08; 95% CI, 1.56-2.76) and multimorbidity (OR, 2.32; 95% CI, 1.32-4.08). Furthermore, psychological distress was associated with incident atrial fibrillation, diabetes, and hypertension whereas no significant association was found with CAD and stroke. Among the psychological distress symptoms, feeling hopeless about the future was associated with incident atrial fibrillation, hypertension, and CAD.

Our findings emphasize psychological distress as an independent risk factor for cardiometabolic disease and multimorbidity.

Depression is a major public health issue, increasing the risk of comorbidities. Some people with depression experience cognitive dysfunction, which can persist even after symptomatic recovery. British South Asians are at greater risk of developing depression and are less likely to seek treatment. It is important to understand their experience of subjective cognitive dysfunction in depression and how best to support them.

This study explored subjective experience of cognitive dysfunction during recurrent depression, in a sample of 12 British South Asians aged between 45 and 60 years.

We conducted semi-structured interviews to explore cognitive dysfunction during recurrent depression. We analysed the data using thematic analysis.

Difficulties in attention and concentration resulted in lower quality of social relationships, including not feeling present and social isolation. Learning new information was difficult, thus impacting productivity. Participants found it difficult to engage in enjoyable activities that promoted brain health. The emotional, physical and spiritual impact negatively impacted on quality of life.

Cognitive strategies used in therapies could improve brain health and functional recovery in people living with depression.

Mental health nurses play a pivotal role in providing culturally appropriate information and strategies for managing cognitive dysfunction in recurrent depression.

This systematic review explores the hypothesis that various lipid categories and lipid metabolism-related genomic variations link to mental disorders, seeking potential clinically useful markers.

We searched PubMed, Scopus, and PsycInfo databases until October 12th, 2024, using terms related to lipidomics, lipid-related genomics, and different mental disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizophrenia (SCZ), and Obsessive-Compulsive Disorder (OCD). Eligible studies were assessed. Extracted data included author, year, methodology, outcomes, genes, and lipids linked to disorders. Bias and evidence certainty were evaluated. The systematic review adhered to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and a registered protocol (PROSPERO: CRD42023438862).

A total of 27 studies were included. SCZ showed alterations in 77 lipids, including triglycerides (TG), ceramides, and phosphatidylcholine, while MDD and BD exhibited 97 and 47 altered lipids, respectively, with overlap among disorders. Shared genes, such as ABCA13, DGKZ, and FADS, and pathways involving inflammation, lipid metabolism, and mitochondrial function were identified. OCD was associated with sphingolipid signaling and peroxisomal metabolism.

Lipid signatures in MDD, BD, and SCZ shed light on underlying processes. Further research is needed to validate biomarkers and refine their clinical applications in precision psychiatry.

Patients with type 2 diabetes mellitus (T2DM) are susceptible to mental health issues, impacting medication adherence and diabetes control. This study aimed to evaluate factors associated with depression and anxiety among T2DM patients in Indonesia and Malaysia. A cross-sectional study was conducted in Indonesia and Malaysia from October 2022 to April 2023 among T2DM patients. The study utilised an instrument with patient and disease data and three validated tools to assess depression, anxiety, and medication adherence. Statistical analysis, including binary logistic regression, was performed using SPSS® version 28 software. A study of 606 T2DM patients revealed that 56.5% were at risk of depression, while 41.6% were at risk of anxiety. Older patients with T2DM had lower rates of depression (AOR = 0.41, 0.25-0.68) and anxiety than younger patients. Normal-weight patients were less likely to experience depression and anxiety (AOR = 0.44, 0.27-0.72) than overweight patients. Patients without diabetic foot ulcers had a lower risk of depression (AOR = 0.34, 0.21-0.55) and anxiety than those with foot ulcers. Patients with a shorter duration of diabetes had a higher risk of depression (AOR = 3.27, 1.70-6.30) and anxiety than those with a longer duration. Patients on insulin-based regimens had higher rates of depression and anxiety (AOR = 2.28, 1.20-4.30) than those on metformin-based regimens. Nonadherent patients were more likely to experience depression and anxiety (AOR = 4.30, 2.22-8.32) than patients who adhered to their medication. The prevalence of depression and anxiety is concerning and influenced by factors such as age, diabetes duration, the presence of diabetic foot ulcers, and the prescribed medication regimen. Further efforts are necessary to enhance the mental health of T2DM patients and improve management outcomes.

Domestic and international migrants along the United States-Mexico border are at increased risk for diabetes due to structural and psychosocial adversities.

This study assessed the prevalence of diabetes and prediabetes in a low-income United States-Mexico border community; examined the relationships between depression, anxiety, andadverse childhood experiences (ACEs) and diabetes prevalence and glucose regulation; and explored indirect effects of social support on these relationships. Results. Participants were 220 adults ages 19-83 years (M.47.2, SD.11.9) of majority Mexican nationality (89.1%). Over 70% reported history of migration to the United States; 56.8% reported deportation from the United States to Mexico. Prevalences of clinically significant depression and anxiety symptoms were 36.9% and 33.3%, respectively. Prevalences of diabetes and prediabetes were 17.3% and 29.1%, respectively. Psychological variables were not associated with diabetes or glucose regulation. Indirect effects were found from depression and ACEs through social support to hemoglobin A1c.

Results suggest the need for diabetes prevention interventions with an integrated biopsychosocial approach.

Task-shared psychological interventions are effective for reducing the severity of depression symptoms, but differences in treatment outcome by socioeconomic status is uncertain. This study examines socioeconomic inequalities (SEI) in depression outcomes among people with HIV and/or diabetes who participated in a cluster randomised controlled trial in the Western Cape Province of South Africa. The trial took place at 24 primary care clinics randomised to deliver a task-shared psychological intervention or treatment as usual (TAU). The trial enrolled 1119 participants meeting criteria for probable depression. Depression symptom severity was evaluated at baseline and 24-month follow-up. Using a concentration index (CI), SEIs in depression were assessed for the intervention and TAU arms. Demographic and socioeconomic variables were used to decompose the CI to identify contributors to SEI. Results indicate poorer participants at the intervention arm have significantly worse 24-month outcomes than wealthier counterparts (CI = - 0.080; SE = 0.025). Race (34.2%), unemployment (17.4%) and food insecurity (15%) were the main contributing factors. While policymakers need to invest in psychological interventions to reduce the burden caused by depression, this study suggests treatment outcomes may be different across the socioeconomic spectrum. Decomposition of these findings points to structural constraints, such as unemployment, as the key contributors towards poorer treatment outcomes. These findings suggest a need to combine psychological interventions with structural interventions that address the broader socio-economic determinants of mental health.

Bidirectional communication between the brain and gastrointestinal tract, called the gut-brain axis, is linked with our emotions. Intestinal lipids, hormones, and molecules, such as bile acids (BAs), impact our mood, motivation, and emotions via the gut-brain axis. BAs are synthesized from cholesterol in the liver and serve as a regulator of lipid metabolism and hormonal secretion in the intestine. Human studies have indicated that the alteration of plasma BA levels is associated with depression and anxiety. Several possible mechanisms, such as BA receptor-dependent and receptor-independent mechanisms, have been reported for emotional control. Animal studies have indicated that the deletion of BA receptors shows behavioral abnormalities. BAs regulate gut hormones, glucagon-like peptide-1 secretion, bioactive lipids, oleoylethanolamide, and the immune system function, which influences neural activities. Thus, BAs act as an emotional regulator. This review aims to summarize the following: clinical evidence of BA concentration linked to mental disorders, including depression and anxiety; and animal studies of BA-related signaling correlated with its neurobehavioral effect supporting its mechanism. We will also discuss future research required for further neurobehavioral treatment.

The coexistence of depression and chronic diseases might lead to greater disability and increased mortality, and the American Heart Association (AHA) recently proposed Life's Essential 8 (LE8) score to quantify cardiovascular health (CVH). The study aimed to examine the association between LE8 and depression among adults with chronic diseases and comorbidity.

14,029 adults with chronic diseases from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018 were included in the study. Overall LE8 and subscale scores were categorized into low, moderate, and high groups. Multivariate logistic regressions were applied to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between LE8 and depression among adults with various chronic diseases and comorbidity.

After adjusting for all covariates, compared to low CVH, high CVH was associated with a significantly lower presence of depressive symptoms among adults with diabetes [OR (95% CI), 0.25 (0.11, 0.58)], hypertension [0.27 (0.20, 0.36)], coronary heart disease [0.16 (0.07, 0.36)], stroke [0.29 (0.11, 0.76)], hyperlipidemia [0.24 (0.20, 0.30)], at least one chronic comorbidity [0.25 (0.21, 0.30)], any single chronic condition [0.28 (0.21, 0.38)], and comorbidities [0.27 (0.19, 0.38)]. Similarly, moderate CVH was also associated with a lower presence of depressive symptoms among adults with various chronic diseases and comorbidities. Dose-response relationships were found, revealing that the ORs for depressive symptoms increased with the decrease of the LE8 score and subscale scores among adults with chronic diseases and comorbidities.

The prevalence of depression increases with decreasing levels of the LE8 and subscale scores among adults with various chronic diseases and comorbidities in the United States.

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.

Syndemic theory proposes that co-occurring, mutually reinforcing psychosocial challenges (mental health, substance use, minority stress [discrimination/stigma], abuse, unmet basic needs) drive HIV risk behavior and create barriers to care for marginalized populations. It is thus necessary to address this holistic, complex picture in HIV prevention. Emergency department (ED) visits are a prime opportunity to engage key risk groups, given their low engagement in regular clinic-based care and high utilization of drop-in care via EDs. Yet, EDs are overburdened and under-resourced; mHealth may be a vehicle for intervention delivery in this context. This study aimed to 1) characterize demographics, syndemic profiles, and HIV risk behavior among ED patients and 2) assess the acceptability of addressing syndemic issues, particularly via an mHealth approach, in the ED. A sample of N = 198 ED patients with an indication of HIV risk completed a cross-sectional psychosocial assessment. Descriptive statistics and bivariate correlations between syndemic issues were examined. Patients presenting to the ED reported marginalized identities and complex syndemic profiles including mental health issues (77%), at risk substance use (30%), childhood abuse (35%), adult abuse (31%), minority stress (63%), and unmet basic needs (37%). Over half the sample reported at least three syndemic issues (54%). All syndemic issues were significantly correlated with each other, supporting a synergistic nature. The sample reported indicators of HIV risk including lack of PrEP awareness (33%)/uptake (94%), condomless sex (37%), and not testing for HIV (41%). Majority reported syndemic profiles have never been addressed in the ED (71%), think it would be helpful (88%), and willing to utilize mHealth during an ED visit (76%). The current study provides information to guide next steps for ED-based point-of-care HIV prevention, and more broadly, working towards equitable HIV prevention services reaching those missed by existing interventions.

Depression is one of the predominant common mental illnesses that affects millions of people of all ages worldwide. Random mood changes, loss of interest in routine activities, and prevalent unpleasant senses often characterize this common depreciated mental illness. Subjects with depressive disorders have a likelihood of developing cardiovascular complications, diabesity, and stroke. The exact genesis and pathogenesis of this disease are still questionable. A significant proportion of subjects with clinical depression display inadequate response to antidepressant therapies. Hence, clinicians often face challenges in predicting the treatment response. Emerging reports have indicated the association of depression with metabolic alterations. Metabolomics is one of the promising approaches that can offer fresh perspectives into the diagnosis, treatment, and prognosis of depression at the metabolic level. Despite numerous studies exploring metabolite profiles post-pharmacological interventions, a quantitative understanding of consistently altered metabolites is not yet established. The article gives a brief discussion on different biomarkers in depression and the degree to which biomarkers can improve treatment outcomes. In this review article, we have systemically reviewed the role of metabolomics in depression along with current challenges and future perspectives.

This study from Northern Vietnam aims to assess the association between social support and symptoms of depression among pregnant women screened for gestational diabetes mellitus (GDM).

A cross-sectional study was conducted among 823 pregnant women in Thai Binh, Vietnam. The women were screened for GDM and structured questionnaire were used to collect data on social support factors, GDM factors, and symptoms of depression. The diagnosis of GDM was based on the 2-hour 75-g OGTT according to WHO 2013 criteria. The Edinburg Postpartum Depression Scale (EPDS) with a cut-off of 10 and the Multidimensional Perceived Social Support Scale (MSPSS) were used to assess depression symptoms and perceived social support, respectively. Logistic regression analysis was conducted to measure the associations between social support, GDM-related factors, and symptoms of depression. The relationship between social support score and symptoms of depression was evaluated using Spearman's correlation. The strength of the associations were measured by adjusted odds ratios (aOR) with 95% confidence intervals (CI).

The prevalence rates of GDM and symptoms of depression were 22.2% (95%CI: 19.4-25.2) and 23.0% (95%CI: 20.1-26.0), respectively. Women who had moved away from their commune of birth and women who reported another person than their husband to be the primary person to confide in had increased odds of depression (aOR = 1.74; 95%CI:1.19-2.56 and aOR = 2.36; 95%CI:1.48-3.75, respectively). A reported lack of social support was strongly associated with increased odds of depression symptoms among both women with gestational diabetes mellitus (aOR = 6.16, 95% CI:2.35-16.12) and without gestational diabetes mellitus (aOR = 2.81; 95%CI: 1.67-4.75). When analysing the correlation between social support and depression symptoms, a negative correlation was found, with decreasing depression scores as the social support score increased.

The prevalence of symptoms of depression was high in our study, and women in Northern Vietnam who feel well-supported socially are less likely to report symptoms of depression. This finding applies both to women with and without GDM.

The physiological role of prolactin (PRL) in men is still not well defined. The pathological increase is characterized by sexual function impairment along with possible negative consequences in body composition and metabolic profile. Conversely, the clinical significance of reduced PRL levels was only partially investigated or mainly neglected. The present paper aims to summarize and critically discuss possible phenotypes characterizing male subjects with reduced PRL levels. When possible, meta-analytic results were provided. Available data derived from patients seeking medical care for sexual dysfunction as well as from cross-sectional and longitudinal studies showed that low PRL in males is associated with a worse metabolic phenotype (including diabetes mellitus), mood disturbances (including anxiety and depression), and sexual dysfunctions (including psychogenic erectile and ejaculatory dysfunctions). Whether or not these features are direct consequences of reduced PRL levels or whether the latter reflect other pathway impairments such as serotoninergic failure cannot be clarified. The present data, however, emphasize that a deficiency of PRL should be taken into account and need further investigations.

As the largest minoritised ethnic group in the United States, Latinxs face a greater risk for type 2 diabetes and depression. The aim of the present study was to explore whether the relationship between depressive symptoms and insulin resistance among Latinxs with type 2 diabetes was moderated by toxic stressors arising from urban environmental threat (i.e., uncomfortable or unsafe aspects of city life). A community sample of Latinx adults with type 2 diabetes (n = 121) was recruited from Hartford, Connecticut. Participants self-reported depressive symptoms and exposure to urban environmental threat using items from the Patient Health Questionnaire and Urban Hassles Index, respectively. Insulin and glucose levels assessed via fasting blood draw were used to calculate insulin resistance using the HOMA-IR formula. After controlling for demographic, financial and health-related factors, results from a regression analysis revealed a significant interaction between depressive symptoms and urban environmental threat; more severe symptoms of depression predicted greater insulin resistance, but only amongst those with frequent exposure to urban environmental threats. Findings from the current study suggest that improving urban living conditions may offer an alternate avenue for attenuating the deleterious impacts of depression on type 2 diabetes progression in Latinxs.

Objectives: This study investigates the mediating role of moderate physical activity (MPA), vigorous physical activity (VPA), and self-rated health (SRH) in the association between depression and quality of life (QoL) in a large sample of Europeans aged 50 and over, differentiated by sex. Methods: Data from the 2017 Survey of Health, Ageing and Retirement in Europe were analyzed, including 11,986 individuals (6843 women) aged 50 and older. All information was collected through face-to-face interviews: sociodemographic data, SRH, physical activity levels, depression (EURO-D scale), and QoL (CASP-12). Results: Comparatively, women reported a higher prevalence of depression, a lower perception of QoL, and slightly lower levels of SRH, MPA, and VPA. Parallel mediation models revealed, for both sexes, that an increase in VPA levels was more effective in benefiting SRH; and MPA proved to be a better promoter of QoL. When comparing sexes, only the path depression → VPA → QoL showed a significant difference (p < 0.001). Conclusions: These results provide valuable insights for developing physical activity interventions capable of improving mental health and promoting QoL in older European adults.

To assess the individual and joint effects of diabetes and depression on all-cause mortality and cardiovascular disease (CVD) in the middle-aged and elderly Chinese populations.

9105 individuals without CVD from the China Health and Retirement Longitudinal Study (CHARLS) were included and followed up for 9 years. Participants were divided into four comparative groups: diabetes alone, depression alone, both conditions, and neither condition. Multivariate binary logistic regression models were performed to compare the risks of all-cause mortality and CVD among the four groups.

When compared to those without diabetes and depression, the multivariate adjusted odds ratios (aORs) for CVD in individuals who had diabetes only, depression only, and both diabetes and depression were 1.245 (95 % CI 1.023 to 1.515), 1.318 (95 % CI 1.171 to 1.485) and 1.722 (95 % CI 1.361 to 2.178), respectively. The aORs for all-cause mortality were 1.366 (95 % CI 1.035-1.804) for diabetes alone, 1.082 (95 % CI 0.916-1.279) for depression alone, and 1.590 (95 % CI 1.152-2.195) for both conditions when compared with those with neither condition.

Individuals with both diabetes and depression had greater risk of CVD and all-cause mortality when compared to those with diabetes or depression alone, or those without either condition.

The Supplemental Nutrition Assistance Program (SNAP) has been established to reduce food insecurity. Limited evidence is available on SNAP participation status over time and depressive symptoms. We aimed to examine the associations of SNAP status over time among low-income individuals, with depressive symptoms in the U.S.

NHANES participants aged ≥20 years of low family income from 2011 to 2018 with information available on depressive symptoms and SNAP use were included in analysis. Depressive symptoms were assessed using 9-item Patient Health Questionnaire (PHQ-9), and PHQ-9 score ≥ 10 is indicative of significant depressive symptoms. Multivariable linear and logistic regressions models were conducted to examine the associations of SNAP participation status over time (never receiving SNAP, receiving SNAP prior to >12 months ago, current receiving SNAP, receiving SNAP in the last 12 months but not currently) with depressive symptoms and significant depressive symptoms.

Currently receiving SNAP (beta (β) = 0.17, 95 % CI: 0.10, 0.25; odds ratio (OR) = 1.52, 95 % confidence interval (CI): 1.16, 2.00) and receiving SNAP in the last 12 months but not currently (β = 0.24, 95 % CI: 0.04, 0.43; OR = 1.83, 95 % CI: 1.16, 2.89) were associated with higher depressive symptoms and higher prevalence of significant depressive symptoms.

The cross-sectional design precludes causal interpretation, and key variables were measured with self-report.

Receiving SNAP in the last 12 months was associated with higher levels of depressive symptoms among individuals with low family income. Improvement on diet quality may be important for reducing depressive symptoms among SNAP users.

Depression is a global health challenge, but only a few studies have fully assessed and predicted the disease burden. This study described the trend of global depression burden from 1990 to 2019 through age-standardized incidence rate (ASIR), age-standardized disability-adjusted life rate (ASDR), and predicted the number of cases of depression during 2020-2030.

Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. The trends of global depression burden from 1990 to 2019 were analyzed by age, sex, and socio-demographic index (SDI) across various regions. Finally, we used the Bayesian age-period-cohort (BAPC) model to predict the disease burden in the coming 10 years.

Globally, the ASIR of depression decreased from 3681.24 per 100,000 population in 1990 to 3588.25 per 100,000 population in 2019 and the EAPC was -0.29%. ASDR also decreased, following a similar trend as the ASIR. The highest ASDR was observed in adults aged 60-64 years. The burden of depressive illness was higher in women, with the greatest increase in incidence in low SDI areas. BAPC predicted that the worldwide ASIR and ASDR of depression would stabilize from 2020 to 2030, with an increasing number of cases. By 2030, the ASIR was estimated to be 2519.88 per 100,000 men and 3835.11 per 100,000 women.

From 1990 to 2019, the global burden of depression remained significant, especially among women. It is important to address depression in older people, and it is therefore necessary to develop measures for prevention.

Metal exposure and depression have each been associated with adverse metabolic diseases, but no study has examined the potential interaction between them. We examined the interaction of depression on the association between metals and metabolic diseases among adults.

The interaction of depression in the relationship between metal and metabolic disease in adults was investigated using NHANES, a cross-sectional survey design.

By employing data from the NHANES database spanning the years 2007-2018, regression models were employed to investigate the independent impacts of heavy metals (cadmium, lead, and mercury) and depression on metabolic diseases (type 2 diabetes, hypertension, hyperlipidemia, metabolic syndrome). Subsequently, the association between metals and metabolic diseases was explored stratified by depression, and the interaction between heavy metals and depression was explored. Because of the complex NHANES design, statistical evaluations were adjusted through weighting to represent the populace of the United States.

We found log transformed-urinary lead was significantly associated with type 2 diabetes (OR: 2.33; 95 % CI: 1.23, 4.41) in adults with depression. Log transformed-urinary lead was not associated with type 2 diabetes (OR: 0.84; 95 % CI: 0.56, 1.27) in adults without depression. The interaction between Pb and depression in type 2 diabetes was significant (P for interaction = 0.033). Log transformed-urinary lead * depression was significantly associated with type 2 diabetes (OR: 1.82; 95 % CI: 1.01, 3.34) in adults. There was no significant interaction between cadmium and mercury exposure and depression in patients with type 2 diabetes, hypertension, hyperlipidemia, and metabolic syndrome (P for interaction > 0.05).

The presence of depression positively modified the adverse associations between urinary lead and type 2 diabetes.

Diabetes is a major public health problem in Qatar and is associated with an increased risk of depression. However, no study has been conducted in Qatar on the relationship between dietary patterns and depression symptoms in adults. The aim of this study was to assess the association between dietary patterns and depression symptoms among adults with or without diabetes in Qatar.

A total of 1000 participants from the Qatar Biobank (QBB) were included in this cross-sectional study. Food intake was assessed using a computer-administered food frequency questionnaire (FFQ), and dietary patterns were identified using factor analysis. Depression symptoms were evaluated using the Patient Health Questionnaire-9 (PHQ-9).

Depression symptoms were present in 13.5% of the sample. Two dietary patterns were identified: "unhealthy" (high consumption of fast food, biryani, mixed dish (chicken/meat/fish), croissant) and "prudent" (high consumption of fresh fruit, salads/raw vegetables, canned/dried fruit, and dates). After adjusting for sociodemographic, lifestyle factors (smoking and physical activity), diabetes and medication use for diabetes and hypertension, a high intake of "unhealthy" pattern was associated with an increased prevalence of depressive symptoms in individuals with diabetes (prevalence ratio, PR = 1.41; 95% CI = 1.28, 1.56; p-value < 0.001), while there was no statistically significant association between depressive symptoms and the "prudent" dietary pattern. The "prudent" pattern was inversely and significantly associated with depressive symptoms in individuals with a normal body weight (PR = 0.21; 95% CI = 0.06, 0.76; p-value = 0.018).

The "unhealthy" dietary pattern was positively associated with depression symptoms in those with diabetes, whereas the "prudent" dietary pattern was inversely associated with depression symptoms in those with a normal body weight. Promoting healthy eating habits should be considered in the prevention and management of depression.

The relationship between depression, diabetes, and access to diabetes care is established in high-income countries (HICs) but not in middle-income countries (MICs), where contexts and health systems differ and may impact this relationship. In this study, we investigate access to diabetes care for individuals with and without depressive symptoms in MICs.

We analyzed pooled data from nationally representative household surveys across Brazil, Chile, China, Indonesia, and Mexico. Validated survey tools Center for Epidemiologic Studies Depression Scale Revised, Composite International Diagnostic Interview, Short Form, and Patient Health Questionnaire identified participants with depressive symptoms. Diabetes, defined per World Health Organization Package of Essential Noncommunicable Disease Interventions guidelines, included self-reported medication use and biochemical data. The primary focus was on tracking diabetes care progression through the stages of diagnosis, treatment, and glycemic control. Descriptive and multivariable logistic regression analyses, accounting for gender, age, education, and BMI, examined diabetes prevalence and care continuum progression.

The pooled sample included 18,301 individuals aged 50 years and above; 3,309 (18.1%) had diabetes, and 3,934 (21.5%) exhibited depressive symptoms. Diabetes prevalence was insignificantly higher among those with depressive symptoms (28.9%) compared with those without (23.8%, P = 0.071). Co-occurrence of diabetes and depression was associated with increased odds of diabetes detection (odds ratio [OR] 1.398, P < 0.001) and treatment (OR 1.344, P < 0.001), but not with higher odds of glycemic control (OR 0.913, P = 0.377).

In MICs, individuals aged 50 years and older with diabetes and depression showed heightened diabetes identification and treatment probabilities, unlike patterns seen in HICs. This underscores the unique interplay of these conditions in different income settings.

Studies have shown a strong bidirectional association between diabetes and depression, with diabetes increasing the risk of developing depression and vice versa. Depression among patients with diabetes is associated with poor glycemic control, complications, and poor self-care.

To explore the present state of research globally concerning diabetes and depression, to aid understanding the current research landscape and identify potential future areas of research.

A bibliometric approach was used, utilizing the Scopus database to gather pertinent research articles released from 2004 to 2023. Analyses encompassed publication patterns, significant contributors, research focal points, prevalent themes, and the most influential articles, aimed at discerning emerging research subjects.

A total of 3229 publications that met the search criteria were identified. A significant increase in the number of publications related to diabetes and depression has been observed in the past two decades. The most productive nation was the USA (n = 1015; 31.43%), followed by China (n = 325; 10.07%), the UK (n = 236; 7.31%), and Germany (n = 218; 6.75%). Three principal themes in research on depression and diabetes were delineated by the analysis. First, the exploration of the elevated prevalence and etiology of this comorbidity; second, the focus on interventions, particularly randomized controlled trials, aimed at enhancing diabetes management among individuals with depression; and finally, the investigation of the involved risk factors and biological mechanisms underlying this bidirectional relationship.

There has been a recent surge of interest in the relationship between diabetes and depression. This could aid researchers to identify areas lacking in the literature and shape future research.

The association between diabetes and depressive symptoms is well recognized. However, the impact of depressive symptoms on prediabetes remains unclear. This study aims to explore the specific correlation between depressive symptoms and prediabetes.

A total of 7467 participants from the National Health and Nutrition Examination Survey (NHANES) were included in this study, spanning five rounds of surveys conducted between 2007 and 2016. Weighted logistic regression was utilized to assess the relationship between depressive symptoms and prediabetes.

Compared with the normoglycemic population, individuals with prediabetes had a significantly higher probability of experiencing trouble sleeping (P = 0.020). After adjusting for non-glucose factors, there was no significant correlation between PHQ-9 and prediabetes; however, severe depressive symptoms were positively associated with abnormal fasting plasma glucose (FPG) levels (OR = 1.093 [95 % CI 1.002, 1.192]). There was a positive correlation between trouble concentrating and FPG abnormalities (OR = 1.065 [95 % CI 1.004, 1.129]).

The cross-sectional design limits causal inference.

Individuals with depressive symptoms, especially severe cases, should be targeted for prediabetes prevention and management efforts. The diverse symptom presentations may have distinct impacts on glucose, necessitating personalized prevention and management strategies.

Depression and diabetes mellitus (DM) are major chronic noncommunicable diseases that impair one's mental and physical well-being and impose substantial burdens on the health system. Depressed individuals have an increased risk of impaired blood glucose, weight gain and dyslipidemia which could induce poorer long-term survival.

37,040 individuals from the National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9) and classified by the total scores as no (0-4), mild (5-9), moderate (10-14), and severe (15-27). DM was determined based on self-reported medical history, clinical test results, and medication use. Logistic and Cox regression were the main statistical models. All analyses were based on weighted data from complex sampling.

The prevalence of DM was higher in depressed than non-depressed individuals (21.26 % vs. 13.75 %). The adjusted odds ratio (OR) (95 % CI) of comorbid DM increased with depression severity, from 1.00 (reference) for no depression, to 1.22 (1.09,1.36) for mild, 1.62 (1.37,1.92) for moderate, and 1.52(1.28,1.82) for severe depression. Comorbidity of DM and depression significantly associated with a higher risk of all-cause mortality, with a hazard ratio (HR) (95 % CI) = 2.09 (1.64,2.66).

Dynamic demographic and metabolic data were not available.

Depression is associated with a higher risk of DM, which may be related to biological, socioeconomic, and medication-related factors. Comorbidity of the two worsens long-term survival. Therefore, blood glucose management and prevention of DM should be emphasized in depressed patients.

Depressive symptoms are established risk factors for various health outcomes. However, previous studies assessed depressive symptoms at a single time point, neglecting individual variations over time.

To identify depressive symptoms trajectories through repeated measures and examine their associations with cardiovascular disease (CVD), cancer and mortality.

This study included 20 634 UK Biobank participants free of CVD and cancer at baseline with two or more assessments of depressive symptoms during 2006-2016. Group-based trajectory modelling identified depressive symptoms trajectories. Incident CVD, cancer and mortality were followed up until 2021 through linked registries.

Six depressive symptoms trajectories were identified: no symptoms (n=6407), mild-stable (n=11 539), moderate-stable (n=2183), severe-decreasing (n=206), moderate-increasing (n=177) and severe-stable (n=122). During a median follow-up of 5.5 years, 1471 CVD cases, 1275 cancer cases and 503 deaths were documented. Compared with the no symptoms trajectory, the mild-stable, moderate-stable and severe-stable trajectories exhibited higher CVD risk, with hazard ratios (HRs) (95% CIs) of 1.19 (1.06 to 1.34), 1.32 (1.08 to 1.34) and 2.99 (1.85 to 4.84), respectively. Moderate-increasing and severe-stable trajectories were associated with higher mortality risks, with HRs (95% CIs) of 2.27 (1.04 to 4.93) and 3.26 (1.55 to 6.88), respectively. However, the severe-decreasing trajectory was not associated with higher risks of adverse outcomes. We did not find significant associations between any trajectory and cancer.

Trajectories related to stable and increasing depressive symptoms, but not the trajectory associated with severe depressive symptoms at the initial assessment but decreasing at the follow-up, were associated with higher risks of CVD and mortality. Alleviating severe depressive symptoms at the initial onset may mitigate CVD and mortality risks.

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Socioeconomic inequalities in type 2 diabetes (T2D) are well established in the literature. However, within the background of changing work contexts associated with digitalization and its effect on lifestyle and sedentary behavior, little is known on T2D prevalence and trends among different occupational groups. This study aims to examine occupational sector differences in T2D prevalence and trends thereof between 2012 and 2019.

The study was done on 1.683.644 employed individuals using data from the German statutory health insurance provider in Lower Saxony, the "Allgemeine Ortskrankenkasse Niedersachsen" (AOKN). Predicted probabilities for T2D prevalence in four two-year periods between 2012 and 2019 were estimated based on logistic regression analyses for nine occupational sectors. Prevalence ratios were calculated to illustrate the effect of time period on the prevalence of T2D among the nine occupational sectors. Analyses were stratified by gender and two age groups.

Results showed differences among occupational sectors in the predicted probabilities for T2D. The occupational sectors "Transport, logistics, protection and security" and "Health sector, social work, teaching & education" had the highest predicted probabilities, while those working in the sector "Agriculture" had by far the lowest predicted probabilities for T2D. Over all, there appeared to be a rising trend in T2D prevalence among younger employed individuals, with gender differences among occupational sectors.

The study displayed different vulnerability levels among occupational sectors with respect to T2D prevalence overall and for its rising trend among the younger age group. Specific occupations within the vulnerable sectors need to be focused upon in further research to define specific target groups to which T2D prevention interventions should be tailored.

Limited evidence exists on the relationship between vitamin D status and mortality in depressed patients.

This study investigates serum 25-hydroxyvitamin D [25(OH)D] concentrations in 8417 adults with depression among the National Health and Nutrition Examination Survey (NHANES, 2005-2018). Mortality outcomes were assessed through National Death Index records up to December 31, 2019. Cox proportional risk models estimated risk ratios (HR) and 95 % confidence intervals (CI) for all-cause, cardiovascular disease (CVD), and cancer mortality. Restricted cubic spline analyses explored the nonlinear association of serum 25(OH)D levels with mortality, using the likelihood ratio test for nonlinearity.

The weighted mean serum 25(OH)D level was 66.40 nmol/L (95 % CI: 65.8, 67.0), with 36.3 % having deficient vitamin D (<50 nmol/L [20 ng/mL]). Over an average 7.16-year follow-up, 935 deaths were documented, including 296 CVD deaths and 191 cancer deaths. Higher serum 25(OH)D levels were associated with reduced all-cause mortality (HRs 0.55-1.00, p trend = 0.006) and cancer-specific mortality (HRs 0.36-1.00, p trend = 0.015) after multivariate adjustment. The relationship between serum 25(OH)D and all-cause mortality exhibited a nonlinear pattern (P for nonlinearity <0.001), with a 34 % lower risk for each unit increase in natural log-transformed 25(OH)D levels. Significant interactions were observed with age, antidepressant use, and diabetes status.

Higher serum 25(OH)D levels were associated with decreased all-cause and cancer-specific mortality in depressed adults, particularly among younger individuals and those using antidepressants or without diabetes. Further research is essential to understand mechanisms and interventions related to vitamin D in depression.

Previous studies report an association between maternal diabetes mellitus (MDM) and attention-deficit/hyperactivity disorder (ADHD), often overlooking unmeasured confounders such as shared genetics and environmental factors. We therefore conducted a multinational cohort study with linked mother-child pairs data in Hong Kong, New Zealand, Taiwan, Finland, Iceland, Norway and Sweden to evaluate associations between different MDM (any MDM, gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PGDM)) and ADHD using Cox proportional hazards regression. We included over 3.6 million mother-child pairs between 2001 and 2014 with follow-up until 2020. Children who were born to mothers with any type of diabetes during pregnancy had a higher risk of ADHD than unexposed children (pooled hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 1.08-1.24). Higher risks of ADHD were also observed for both GDM (pooled HR = 1.10, 95% CI = 1.04-1.17) and PGDM (pooled HR = 1.39, 95% CI = 1.25-1.55). However, siblings with discordant exposure to GDM in pregnancy had similar risks of ADHD (pooled HR = 1.05, 95% CI = 0.94-1.17), suggesting potential confounding by unmeasured, shared familial factors. Our findings indicate that there is a small-to-moderate association between MDM and ADHD, whereas the association between GDM and ADHD is unlikely to be causal. This finding contrast with previous studies, which reported substantially higher risk estimates, and underscores the need to reevaluate the precise roles of hyperglycemia and genetic factors in the relationship between MDM and ADHD.

Depressive symptoms have been suggested to increase mortality risk but causality remains unproven. Depressive symptoms increase likelihood of smoking which is thus a potential factor modifying the effect of depressive symptoms on mortality. This study aims to assess if the association of depressive symptoms and all-cause mortality is affected by smoking.

A prospective cohort study in Finnish primary care setting was conducted among 2557 middle-aged cardiovascular disease (CVD) risk persons identified in a population survey. Baseline depressive symptoms were assessed by Beck's Depression Inventory (BDI) and current smoking by self-report. Data on mortality was obtained from the official statistics. Effect of depressive symptoms and smoking on all-cause mortality after 14-year follow-up was estimated.

Compared to non-depressive non-smokers, the adjusted hazard ratio (HR) for all-cause mortality was 3.10 (95% CI 2.02 to 4.73) and 1.60 (95% CI 1.15 to 2.22) among smoking subjects with and without depressive symptoms, respectively. Compared to the general population, relative survival was higher among non-depressive non-smokers and lower among depressive smokers. Relative standardized mortality ratio (SMR) for all-cause mortality was 1.78 (95% CI 1.31 to 2.44) and 3.79 (95% CI 2.54 to 6.66) among non-depressive and depressive smokers, respectively, compared to non-depressive non-smokers. The HR for all-cause mortality and relative SMR of depressive non-smokers were not increased compared to non-depressive non-smokers.

Current smoking and increased depressive symptoms seem to additively contribute to excess mortality.

Mental disorders are important comorbidities in youth with obesity. Aim was to describe the clinical characteristics and outcome of youth with overweight or obesity having comorbid mental disorders.

Data from children, adolescents, and young adults (age 6-30 years) with overweight or obesity and mental disorders (depression, anxiety disorder, eating disorder, attention deficit disorder (ADHD)) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry (APV) were analyzed and compared with those without reported mental disorders using regression modeling.

Mental health comorbidity was reported in a total of 3969 out of 114,248 individuals with overweight or obesity: 42.5% had ADHD, 31.3% anxiety disorders, 24.3% depression, and 12.9% eating disorders. Being male (OR 1.39 (95%CI 1.27;1.52)), of older age (1.42 (1.25;1.62)), or with extreme obesity (1.45 (1.30;1.63)) were most strongly associated with mental health comorbidity. Regression analysis showed that mean BMI-SDS was significantly higher in the group of individuals with depression and eating disorders (BMI-SDS 2.13 (lower; upper mean:2.09;2.16) and 2.22 (2.17;2.26)) compared to those without reported mental health comorbidity (BMI-SDS 2.008 (2.005;2.011); p < 0.001). In youth with ADHD, BMI-SDS was lower compared to those without reported mental disorders (BMI-SDS 1.91 (1.89;1.93) vs 2.008 (2.005;2.011); p < 0.001). Proportion of severe obesity was higher in individuals with depression (23.7%), anxiety disorders (17.8%), and eating disorders (33.3%), but lower in ADHD (10.3%), compared to those without reported mental disorders (13.5%, p < 0.002). Proportions of dyslipidaemia and abnormal carbohydrate metabolism were not different in youth with and without reported mental health comorbidity. BMI-SDS change after one year of lifestyle intervention program ranged between -0.22 and -0.16 and was similar in youth without and with different mental disorders.

Health care professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders and regular mental health screening should be considered.

Prevalence of mental health disorders continue to increase worldwide. Over the past decades, suboptimal vitamin D (VD) levels and gut dysbiosis have been associated with neurological dysfunction and psychiatric disorders.

In this review, we examined the available literature on VD and mental health disorders, particularly depression and anxiety, in both clinical and pre-clinical studies.

Our extensive review failed to find a link between VD deficiency, depression, and anxiety-related behavior in preclinical animal models. However, strong evidence suggests that VD supplementation may alleviate symptoms in chronically stressed rodents, with some promising evidence from clinical studies. Further, fecal microbiota transplantations suggest a potential role of gut microbiota in neuropsychiatric disorders, although the underlying mechanisms remain to be fully elucidated. It has been postulated that serotonin, primarily produced by gut bacteria, may be a crucial factor. Hence, whether VD has the ability to impact gut microbiota and modulate serotonin synthesis warrants further investigation.

Taken together, literature has suggested that VD may serve as a key regulator in the gut-brain axis to modulate gut microbiota and alleviate symptoms of depression and anxiety. The inconsistent results of VD supplementation in clinical studies, particularly among VD deficient participants, suggests that current intake recommendations may need to be re-evaluated for individuals at-risk (i.e. prior to diagnosis) of developing depression and/or anxiety.

Both metabolic syndrome (MetS) and depression are high priority health problems, especially for working age. Numerous studies have explored the link between metabolic syndrome and depression; however, not all of them have consistently demonstrated an association. The objective of this study was to determine whether there is an association between MetS and depression by analyzing extensive real-world data (RWD).

Our data was drawn from insurance claims and health checkups of local government officials across all prefectures in Japan except for Tokyo in the 2019 fiscal year. According to the number of months with diagnosis of depression and prescription of antidepressants, the study participants were classified into the following categories: Certainly not Depression (CN), Possibly not Depression (PN), Possible Depression (PD), and Certain Depression (CD). Associations between MetS and its components-visceral obesity, hypertension, hyperlipidemia, and diabetes- and these categories of depression were analyzed by logistic regression.

The depression categories of the 130,059 participants were as follows: CN 85.2%; PN 6.9%; PD 3.9%; and CD 4.1%. For men, the adjusted odds ratio (AOR) for MetS were PN 0.94 (95% CI: 0.86-1.02), PD 1.31 (1.19-1.43), and CD 1.63 (1.50-1.76), with reference to CN. For women, AOR of MetS were PN 1.10 (0.91-1.32), PD 1.54 (1.24-1.91), and CD 2.24 (1.81-2.78). Among the MetS components, visceral obesity, hyperlipidemia, and diabetes were significantly associated with depression categories.

In this study, we found a significant association between MetS and depression, this association being similar to that previously reported. Our findings provide robust evidence for linkage between MetS and depression, suggesting that analysis of RWD is useful for providing concrete evidence.

Major depressive disorder (MDD) is linked to an increased risk of diabetes; however, the underlying pathomechanism remains unknown. Although insulin-like growth factor 1 (IGF-1) is involved in the pathogenesis of both insulin resistance (IR) and MDD, no studies have investigated the relationship between IGF-1 and IR in patients with MDD.

We recruited 120 patients with MDD (84 non-remitting patients and 36 remitting patients) and 99 control participants. Blood samples were collected after overnight fasting to investigate associations between serum and clinical factors, such as serum IGF-1 levels and homeostasis model assessment-insulin resistance (HOMA-IR).

Serum IGF-1 levels were higher in patients with non-remitting MDD than in control participants and patients with remitting MDD (P = 0.001 and P = 0.007, respectively). There were no significant differences in HOMA-IR between the three groups. HOMA-IR was positively correlated with serum IGF-1 levels in patients with non-remitting MDD (R = 0.355; P= 0.001) but not in control participants or patients with remitting MDD. A stepwise multiple regression analysis with various clinical factors revealed a positive association of serum IGF-1 levels and body mass index with HOMA-IR in patients with non-remitting MDD.

This is a cross-sectional study and therefore we cannot draw firm conclusions about causal associations.

Serum IGF-1 levels may play a role in IR in patients with MDD who fail to achieve remission. Further studies, including longitudinal studies, are needed to determine the relationship between high serum IGF-1 levels and subsequent IR and diabetes risk.

Previous research has revealed a strong link between the experience of childhood sexual abuse (CSA) and diabetes in adulthood. Moreover, research has shown that sexual minorities (SM) are exposed to adverse childhood experiences (ACEs) (i.e. CSA) and experience depression at higher rates than their heterosexual counterparts. Thus, it is imperative to further investigate the role of depression and the differential associations of exposure to ACEs with diabetes prevalence by sexual orientation. We explored sexual orientation disparities regarding the relationship between CSA and diabetes and examined the moderating role of depression. A total of 29,903 participants from the 2021 Behavioral Risk Factor Surveillance System (BRFSS) were included in this study. Secondary data analysis was conducted using the survey data, and weighted logistic regression and moderation analysis were performed. Heterosexuals who experienced CSA (AOR = 1.25; p < .05) and SM who experienced CSA (AOR = 2.13; p < .05) reported higher odds of having diabetes. Among heterosexuals, depression (AOR = 1.38; p < .001) was significantly associated with having diabetes. Additionally, depression was a significant moderator among heterosexuals with and without CSA. Further understanding of the impact of ACEs on diabetes among specific subgroups of SM should be assessed in future studies.

Depression and anxiety occur more frequently in women and are associated with an increased risk of cardiovascular disease.

Data on the association between these psychiatric conditions and the incidence of acute heart failure (HF) and how they influence heart failure outcomes in women are lacking. We investigated this potential relationship using data from the National Inpatient Sample.

We used ICD-10 codes to extract encounters for acute heart failure and/or the acute exacerbation of chronic heart failure, anxiety, and depression from the discharge data of the NIS from 2019 to 2020. We compared baseline characteristics and length of stay (LOS), cost of care (COC) and acute HF by depression/anxiety status for males and females and employed regression models to assess the influence of these psychiatric conditions on the outcomes.

There were 6,394,136 encounters involving females, which represented 56.6% of the sample. The prevalence of depression and anxiety were 15.7% and 16.8%, respectively. Among females, the occurrence of acute CHF did not differ by depression or anxiety status. However, Takostubo cardiomyopathy was more prevalent in those with depression (0.3% vs. 0.2%, p = 0.003) and anxiety (0.3% vs. 0.2%, p = 0.03) compared to those without these conditions. Among those with depression, LOS was significantly longer (3 days IQR: 2-6, vs. 3 days IQR:2-5 days, p < 0.001). The COC was USD 1481 more in patients with depression. On the contrary, LOS and COC were significantly lower in those without anxiety.

Depression was associated with an increased LOS among both men and women and an increased cost of care among women. Anxiety was associated with a decreased LOS and cost of care among women, which may be related to an increased rate of against medical advice (AMA) discharges among this population. Further research is necessary to identify optimal management strategies for depression and anxiety among patients hospitalized with HF.

Previous studies have reported that depression can increase the risk of type 2 diabetes. However, they did not sufficiently consider antidepressants or comorbidity.

The National Health Insurance Sharing Service database was used. Among the sample population, 276,048 subjects who had been diagnosed with depression and prescribed antidepressants (DEP with antidepressants group) and 79,119 subjects who had been diagnosed with depression but not prescribed antidepressants (DEP without antidepressants group) were found to be eligible for this study. Healthy controls (HCs) were 1:1 matched with the DEP with antidepressants group for age and sex. We followed up with them for the occurrence of type 2 diabetes.

In the group of DEP with antidepressants, although the risk of type 2 diabetes increased compared to HCs in a crude analysis, it decreased when comorbidity was adjusted for. In the group of DEP without antidepressants, the risk of type 2 diabetes decreased both in the crude model and the adjusted models. The risk varied by age group and classes or ingredients of antidepressants, with young adult patients showing an increased risk even in the fully adjusted model.

Overall, those with depression had a reduced risk of type 2 diabetes. However, the risk varied according to the age at onset, comorbidity, and type of antidepressants.

Evaluate the association between poor mental health and risk of developing gestational diabetes mellitus (GDM) in a cohort of women from a socioeconomically disadvantaged community.

A total of 1363 nulliparous women with singleton pregnancies recruited to the Screening Tests to Predict Poor Outcomes of Pregnancy study in Adelaide, Australia. Women were assessed for mental health in the first trimester, including likelihood of depression, high functioning anxiety, perceived stress and risk of developing a mental health disorder. GDM was diagnosed based on the International Association of Diabetes in Pregnancy Study Group (IADPSG) criteria. Socioeconomic status was measured using the New Zealand Socioeconomic Index (NZSEI).

Complete mental health data was available for 1281 participants. There was no statistically significant difference in SEI, depression, risk of mental health issues, high functioning anxiety and perceived stress between women who developed GDM and those who did not. There was no difference in history of depression nor risk of developing a high mental health disorder in first trimester after adjusting for SEI, BMI in first trimester, smoking status in first trimester and maternal age between women with a GDM pregnancy and those who did not.

There was no difference in markers of poor mental health in early pregnancy between women who subsequently did or did not develop GDM. Cohort participants were socioeconomically disadvantaged, potentially contributing to the lack of apparent differences in depression observed between groups. Socioeconomically disadvantaged women should be targeted in pre-conception planning to reduce risk of GDM.