The Epidemiology of Depression and Diabetes Distress in Type 2 Diabetes in Kuwait

Prevalence of mild cognitive impairment and modifiable risk factors: A cross-sectional study in rural older adults with diabetes

To determine the prevalence and modifiable risk factors for MCI in older adults with T2DM in rural China. This cross-sectional study encompassed 96 villages, employing a cluster sampling approach to recruit eligible older adults with T2DM as study participants. Logistic regression analysis was utilized to identify modifiable risk factors associated with MCI. Average marginal effects were calculated. The discriminatory performance of these risk factors in identifying MCI was evaluated by plotting the receiver operating curve and calculating the value of the area under the curve. A total of 898 older adults with T2DM in our study. The overall prevalence of MCI was 50.22 %. Independent associations with MCI were found in poor self-management ability of diabetes (OR = 0.808, 95 % CI: 0.808, 0.766), depressive symptoms (OR = 3.500, 95 % CI: 1.933, 6.337), moderate (OR = 0.936, 95 % CI: 0.017, 0.075) and high (OR = 0.939, 95 % CI: 0.016, 0.100) levels of physical activity, poorer oral health (OR = 2.660, 95 % CI: 2.226, 3.179), and lower grip strength (OR = 0.913, 95 % CI: 0.870, 0.958). The AUC was 0.967 (95 % CI 0.508-0.470). The prevalence of MCI was high among older adults with T2DM in rural areas of China. The self-management ability of diabetes, depressive symptoms, physical activity, oral health and grip strength were modifiable risk factors of MCI. Targeted interventions should be developed and implemented to address these modifiable risk factors, aiming to enhance cognitive function and mitigate the incidence of MCI in older adults with T2DM.

Depression and type 2 diabetes risk: a Mendelian randomization study

Background

Extensive observational evidence has suggested an association between depression and type 2 diabetes (T2D). However, the causal relationships between these two diseases require further investigation. This study aimed to evaluate the bidirectional causal effect between two types of depression and T2D using two-sample Mendelian randomization (MR).

Methods

We applied two-step MR techniques, using single-nucleotide polymorphisms (SNPs) as the genetic instruments for analysis. We utilized summary data from genome-wide association studies (GWASs) for major depression (MD), depressive status (frequency of depressed mood in the last two weeks), T2D, and other known T2D risk factors such as obesity, sedentary behavior (time spent watching television), and blood pressure. The analysis utilized inverse variance weighted (IVW), MR-Egger regression, weighted median, weighted mode, MR pleiotropy residual sum, and outlier methods to determine potential causal relationships.

Results

The study found that MD was positively associated with T2D, with an odds ratio (OR) of 1.26 (95% CI: 1.10-1.43, p = 5.6×10-4) using the IVW method and an OR of 1.21 (95% CI: 1.04-1.41, p = 0.01) using the weighted median method. Depressive status was also positively associated with T2D, with an OR of 2.26 (95% CI: 1.03-4.94, p = 0.04) and an OR of 3.62 (95% CI: 1.33-9.90, p = 0.01) using the IVW and weighted median methods, respectively. No causal effects of MD and depressive status on T2D risk factors were observed, and T2D did not influence these factors.

Conclusion

Our study demonstrates a causal relationship between depression and an increased risk of developing T2D, with both major depression and depressive status being positively associated with T2D.

Association of Physical Activity and Sleep Metrics with Depression in People with Type 1 Diabetes

Objective

This study aimed to investigate the association of physical activity and sleep metrics, measured via wrist-worn accelerometers, with depression in people with type 1 diabetes.

Patients and Methods

People with type 1 diabetes were recruited from the Dasman Diabetes Institute in Kuwait and were invited to wear a wrist-worn accelerometer device for 7 days. Mean physical activity (overall acceleration), inactivity, light activity, moderate activity, vigorous activity, the distribution of physical activity intensity (intensity gradient), sleep duration and sleep efficiency were quantified from the accelerometer data. The associations of these metrics with depression were investigated using multiple linear regression.

Results

A total of 551 people with type 1 diabetes (age 33.1 (9.5) years) were included. Overall physical activity (B = -0.09, CI = -0.14 to -0.04), moderate intensity activity (B = -0.02, CI = -0.02 to -0.01), vigorous intensity activity (B = -0.16, CI = -0.27 to -0.05), and the intensity gradient (B = -2.11, CI = -3.51 to -0.72) were negatively associated with depression score (p < 0.01) and these associations remain significant even after adjustment for age, sex, diabetes duration, and BMI. However, sleep duration and efficiency were not associated with depression. After mutual adjustment overall physical activity (B = -0.07, CI = -0.12 to -0.01), but not the intensity gradient (B = -0.90, CI = -2.47 to 0.68), remained associated with depression.

Conclusion

Overall, moderate and vigorous physical activity, and the intensity gradient were associated with lower symptoms of depression. Overall physical activity, rather than the distribution of activity intensity, appears more important in depression. This information can help guide physical activity interventions to improve depression in people with type 1 diabetes.

Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes

INTRODUCTION

Mental complications of diabetes are one of the main obstacles to the implementation of self -care behaviors that have been less studied. Therefore, this study was conducted to survey the effective factors in predicting burnout and self-care behaviors among patients with type 2 diabetes.

METHODS

In this Path analysis, 1280 patients with type 2 diabetes were selected from Mashhad (Iran) in 2023 to 2024. Four scales, the mental health literacy (MHL) scale, diabetes burnout scale, diabetes distress scale, and self-care behavior scale were used for data gathering. AMOS software checked the direct and indirect paths between the variables.

RESULTS

In the path analysis, variables of MHL and diabetes distress predicted 25% variance of diabetes burnout (R2 = 0.25), and diabetes distress (total effect = 0.491) had the greatest impact on predicting diabetes burnout. Variables of MHL, diabetes distress, and diabetes burnout predicted 12% variance of Self-care behaviors (R2 = 0.12) and MHL (total effect = -0.256), age of onset of diabetes (total effect = 0.199), and diabetes burnout (total effect = - 0.167) had the greatest impact on prediction of self-care behaviors.

CONCLUSION

MHL could reduce diabetes distress and burnout and eventually promote self-care behaviors among patients with type 2 diabetes. Therefore, screening and identifying psychological problems (such as distress and burnout) and designing interventions to increase MHL can ultimately increase the health of patients with diabetes.

Seasonal differences in physical activity, sedentary behaviour, and sleep patterns in people with type 1 diabetes in Kuwait

AIMS

The main aim of the current study was to measure physical activity, sedentary behaviors and sleep levels across the different seasons in people with type 1 diabetes in Kuwait.

METHODS

A prospective cross-sectional study was conducted from August 2021 to September 2022. Physical activity and sleep metrics were measured over a 7-day period with a wrist-worn accelerometer (GENEActiv). Overall physical activity was measured as a Euclidean Norm Minus One in milli gravitational units (mg). Accelerometer metrics were compared across the seasons and between the sex.

RESULTS

A total of 784 people with type 1 diabetes participated. Mean daily physical activity was 25.2 mg (SD = 7.3). Seasonal differences were seen in overall physical activity (p = 0.05), inactivity (p = 0.04), light activity (p = 0.001), the intensity gradient (p = 0.001) and sleep efficiency (p = 0.02). Poorer metrics were generally seen in Spring and Summer. Overall physical activity, moderate and vigorous physical activity, and inactivity were significantly higher in males compared to females (p ≤ 0.02). Females had a longer sleeping duration (p = 0.02), and higher sleep efficiency (p = 0.04) and light physical activity (p = 0.01). Overall physical activity and the intensity gradient were negatively associated with HbA1c (both p = 0.01).

CONCLUSIONS

Physical activity levels were generally low and sleep poor in people with type 1 diabetes in Kuwait and these varied by sex and season. The current data are useful to target and develop interventions to improve physical activity and glycemic control.

Prevalence and predictors of diabetes distress and depression in people with type 1 diabetes

Background

People living with diabetes often encounter psychosocial challenges, including diabetes distress and depression. Despite this, little research has focused on the co-occurrence of these conditions. This study aimed to explore the prevalence of depressive symptoms and diabetes distress in people with type 1 diabetes in Kuwait and to identify clinical and demographic factors associated with these conditions.

Methods

A total of 832 people with type 1 diabetes (females: 54.1%, mean age: 29 ± 8.5 years), were invited to participate in Dose Adjustment for Normal Eating (DAFNE) course. Diabetes distress was measured using the Problem Areas in Diabetes (PAID) scale and depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Depressive symptoms were defined as PHQ-9 scores ≥10. Data on biomedical outcomes, lifestyle factors, and sociodemographic information were collected.

Results

The prevalence rates of diabetes distress and depressive symptoms were 27.8% and 38.3%, respectively. Notably, 19.6% of people experienced both conditions. In the regression analysis, PAID scale and PHQ-9 scores were significantly associated, patients with higher score on depressive symptoms scale were more likely to suffer diabetes distress (B= 2.65, p < 0.001). Female sex (odds ratio [OR]= 2.2, 95% CI= 1.5, 3.2), higher hemoglobin A1c levels (OR= 1.6, 95% CI= 1.0, 2.5), obesity (OR= 1.7, 95% CI= 1.1, 2.8), inactivity (OR= 2.4, 95% CI= 1.6, 3.6), microvascular complications (OR= 2.8, 95% CI= 1.5, 5.4), and lipohypertrophy (OR= 1.7, 95% CI= 1.1, 2.5) were associated with greater odds for the co-occurrence of diabetes distress and depressive symptoms (p< 0.05 for all).

Conclusion

The majority of people with type 1 diabetes in Kuwait experience both diabetes distress and depressive symptoms. The strong correlation between diabetes distress and depressive symptoms suggests mutual predictability. The co-occurrence of both symptoms is associated with many sociodemographic and clinical factors.

Impact of Type D Personality, Role Strain, and Diabetes Distress on Depression in Women With Type 2 Diabetes: A Cross-Sectional Study

BACKGROUND

Women with diabetes face a significantly elevated risk of developing depression. Clarifying the factors associated with depression is critical to designing more timely interventions for this vulnerable population.

PURPOSE

This study was developed to examine the impact of Type D personality, diabetes-care-related role strain, and diabetes-related distress on depression in women with Type 2 diabetes.

METHODS

A cross-sectional design was used. Convenience sampling was used to recruit 298 women aged 20-64 years who had been diagnosed with Type 2 diabetes for over 6 months from three outpatient endocrine clinics in Taiwan. Demographic and disease characteristics and Type D personality (negative affectivity and social inhibition), diabetes-care-related role strain, and diabetes-related distress and depression status information were collected using self-reported questionnaires and medical records. The important factors of influence on depression were examined using hierarchical multiple regression.

RESULTS

On the basis of the results of the hierarchical multiple regression analysis, age, negative affectivity, diabetes-care-related role strain, and diabetes-related distress were identified as significantly associated with depression, with negative affectivity explaining most (43.4%) of the variance in depression, followed by diabetes-care-related role strain and diabetes-related distress, which respectively explained 3% and 2.5% of the variance.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The negative affectivity associated with the Type D personality was shown to be more significantly associated with depression than diabetes-related psychosocial factors such as diabetes-related distress and diabetes-care-related role strain. Timely assessment of negative affectivity and the provision of brief mindfulness intervention to reduce negative affectivity may be useful in preventing depression in women with Type 2 diabetes, whereas addressing diabetes-related distress and diabetes-care-related role strain should not be neglected when providing comprehensive depression-preventing interventions to young women with diabetes.

Association Between Depression, Diabetes Self-Care Activity and Glycemic Control in an Arab Population with Type 2 Diabetes

PURPOSE

Poor self-care behavior and depression are associated with worse glycemic control, but the relationship between these variables is poorly reported. The present study aimed to describe self-care behaviors and explore the association between depression, self-care and glycemic control in people with type 2 diabetes in an Arab population.

PATIENTS AND METHODS

This study recruited 446 patients with type-2 diabetes from an outpatient clinic in Kuwait and completed assessments of diabetes self-care using the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire and depression using the Patients Health Questionnaire-9 (PHQ-9) scales. Multiple linear regression models were used to determine the associations between depression, self-care behaviors and glycemic control.

RESULTS

Self-care behaviors were highest for medication taking (92.9%), an average for foot care (61.4%), blood glucose testing (60%) and healthy diet (55.7%), and lowest for exercise (27.1%). Depression, poor self-care activities and poor HbA1c levels were inter-correlated in univariate analysis (p< 0.03). In regression analysis, following healthful eating (B= -0.27, p< 0.001), general eating plan (B= -0.21, p= 0.01), more space carbohydrates evenly throughout the day (B= - 0.17, p= 0.03) and exercise at least 30 minutes (B= -0.17, p= 0.02) behaviors were associated with better HbA1c levels. However, depression was associated with poor scores of following a general eating plan (B= -0.20, p= 0.03), space carbohydrates evenly throughout the day (B= -0.21, p= 0.05), and exercising at least 30 minutes (B= -0.24, p= 0.03) behaviors. Depression scores were also associated with poor HbA1c levels (B= 0.32, p= 0.03). However, this association no longer persists after mutual adjustment with following a healthy diet (B= 0.14, p= 0.38) and exercise (B = 0.26, p = 0.08) behaviors.

CONCLUSION

Self-care activity was less than fifty percent in people with type 2 diabetes and higher activity was associated with better glycemic control. However, depression adversely affects self-care behaviors. To maintain and achieve glycemic control, diabetes educators might motivate people with type 2 diabetes to enhance their self-care activities, particularly those with depression symptoms and poor compliance with self-care activities.

Does awareness of diabetic status increase risk of depressive or anxious symptoms? Findings from the China Multi-Ethnic cohort (CMEC) study

INTRODUCTION

People with diabetes mellitus (DM) have increased risk of depressive symptoms (DS) or anxious symptoms (AS). This study explores whether awareness of DM will contribute to prevalence of DS or AS.

METHODS

The baseline data including 81,717 adults from Southwest China was analyzed. DS and AS were assessed using PHQ-2 and GAD-2. Exposures were defined as 1) having self-reported physician diagnosis of diabetes (self-reported DM), 2) no prior diagnosis of diabetes but meeting diagnostic criteria (newly diagnosed DM), 3) having self-reported physician diagnosis or meeting criteria of non-diabetic diseases (non-diabetic patients), 4) healthy participants. Generalized linear mixed models were used to assess impact of presence and awareness of DM on DS or AS, adjusting for regional and individual related factors.

RESULTS

The prevalence of DS in self-reported DM, newly diagnosed DM, non-diabetic patient and healthy participants was 7.08 %, 4.30 %, 5.37 % and 3.17 %. The prevalence of AS was 7.80 %, 5.77 %, 6.37 % and 3.91 %. After adjusting for related factors, compared with healthy participants, self-reported DM and non-diabetic patients were associated with DS [AOR_{DS, self-reported} = 1.443(1.218,1.710), AOR_{DS, nondiabetic patients} = 1.265(1.143,1.400)], while the association between newly diagnosed DM and DS was not statistically significant. The associations between self-reported DM, newly diagnosed DM, non-diabetic patients and AS were all statistically significant.

LIMITATIONS

DS and AS were assessed through self-report and may suffer recall or information bias.

CONCLUSIONS

The association between awareness of diabetes and DS/AS suggests to pay attention to distinguish between self-reported and newly diagnosed DM and screening for DS and AS in diabetic population.

Association of depression and parasympathetic activation with glycemic control in type 2 diabetes mellitus

AIM

Patients with type 2 diabetes mellitus exhibited autonomic nervous system (ANS) dysfunction and comorbidities with depressive or anxiety symptoms were related to poor glycemic control. Heart rate variability (HRV) converted from electrocardiogram (ECG) has been used as the ANS index. The study aimed to explore the associations between depression, anxiety, HRV, and glycemic control in patients with type 2 diabetes mellitus.

METHODS

The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) questionnaires were used to assess depressive and anxiety symptoms in 647 patients with type 2 diabetes mellitus (mean age was 63 ± 10 years, 56 % males). The ECG raw signals were collected from a 5-min sitting and resting baseline and then transformed to HRV indices referring ANS activation. Blood glucose and lipid profiles including glycated hemoglobin (HbA1c), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglyceride were obtained from the electronic medical records.

RESULTS

Ninety-nine (15 %) participants had depressive symptoms and 59 (9 %) had anxiety symptoms. Depression and HbA1c were negatively correlated with parasympathetic activation. Depression and anxiety were positively correlated with sympathetic activation. After controlling for demographic data and lipid profiles, depression was a significant positive predictor for HbA1c levels; and HRV indices (lnLF and lnHF) were the significant negative predictors for HbA1c levels. Mediation effect analysis showed that depression was a mediator between parasympathetic activation and glycemic control.

CONCLUSIONS

Lower parasympathetic activation and higher depressive symptoms may affect glycemic control in patients with type 2 diabetes mellitus. Intervention programs targeting to increase parasympathetic activities and reducing depression could be further tested for their effects on glycemic outcomes for potential clinical use.

Association Between Depression and Risk of Incident Cardiovascular Diseases and Its Sex and Age Modifications: A Prospective Cohort Study in Southwest China

To examine possible associations between depression and cardiovascular disease (CVD) incidence and whether demographic factors modified those associations in the Chinese population. This prospective cohort study comprised 7,735 adults aged 18 years or older in Guizhou, China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95%CIs) of depression and incident CVD. We identified 215 CVD cases (including 28 acute myocardial infarction (AMI) and 197 stroke cases) during an average follow-up of 7.07 years. In the multivariable-adjusted model, baseline PHQ-9 score was associated with incident CVD, AMI, and stroke. The HR per 1-SD increase for PHQ-9 score was 1.14 (95%CI: 1.03, 1.26) for CVD, 1.26 (95%CI: 1.01, 1.57) for AMI, and 1.12 (95%CI: 1.01, 1.25) for stroke. Compared with participants without depression, those with any mild or more advanced depression had a higher risk of incident CVD (HR: 1.69, 95%CI: 1.08, 2.64) and AMI (HR: 3.36, 95%CI: 1.17, 10.56). Associations between depression with CVD and stroke were suggested to be even stronger among women and participants aged <65 years (P for interaction <0.05). The effect of depression on stroke tended to be preserved in non-smokers. Depression was associated with a higher risk of incident CVD, AMI, and stroke in adults of Southwest, China, particularly in women, participants aged <65 years, and non-smokers. These findings highlighted the importance and urgency of depression healthcare.

Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review

The rising prevalence of depression among Type 2 Diabetes Mellitus (T2DM) patients has triggered an alarming situation, and further actions need to be taken by health care professionals and policymakers to curb the issue. There is a lack of evidence review in terms of the biopsychosocial and nutritional factors that are related to depression among T2DM. Hence, this review aimed to identify available evidence on the biopsychosocial and nutritional factors associated with depression among T2DM patients based on the existing literature. Articles were systematically searched from four databases, namely PubMed, Scopus, Web of Science, and EBSCOHost. The approach for the identification of the final articles followed PRISMA guidelines. The selected full-text articles were published between 2017 and 2021 in the English language, and included studies focused on depression among T2DM patients. Using AXIS tools, the eligible articles were evaluated to assess the quality of studies. A total of 19 studies were included in the review, and information related to research questions and associated factors was extracted. Biological, psychological, social, and nutritional factors were shown to be linked with depression among T2DM patients. Future studies need to considered using the biopsychosocial model and incorporating nutritional factors to manage the issues of depression among T2DM patients.

Diabetes and Ramadan: Practical guidelines 2021

Fasting during Ramadan is one of the five pillars of Islam and is obligatory for all healthy Muslims from the age of puberty. Though individuals with some illness and serious medical conditions, including some people with diabetes, can be exempted from fasting, many will fast anyway. It is of paramount importance that people with diabetes that fast are given the appropriate guidance and receive proper care. The International Diabetes Federation (IDF) and Diabetes and Ramadan (DaR) International Alliance have come together to provide a substantial update to the previous guidelines. This update includes key information on fasting during Ramadan with type 1 diabetes, the management of diabetes in people of elderly ages and pregnant women, the effects of Ramadan on one's mental wellbeing, changes to the risk of macrovascular and microvascular complications, and areas of future research. The IDF-DAR Diabetes and Ramadan Practical Guidelines 2021 seek to improve upon the awareness, knowledge and management of diabetes during Ramadan, and to provide real-world recommendations to health professionals and the people with diabetes who choose to fast.

Effectiveness of virtual mindfulness-based interventions on perceived anxiety and depression of physicians during the COVID-19 pandemic: A pre-post experimental study

BACKGROUND

The outbreak of coronavirus disease 2019 (COVID-19) created unprecedented stress on physicians. Mindfulness is a type of meditation that focuses on being fully present, aware of senses, and emotions in the present moment without analyzing or judging them, and it may help reduce psychological distress in physicians. This study aimed to examine the effectiveness of virtual mindfulness-based intervention (MBI) on physicians' perceived anxiety and depression and different facets of mindfulness.

METHODS

During the COVID-19 pandemic, an online survey was administered to physicians to assess depression, anxiety, and awareness using the 9-item Patient Health Questionnaire (PHQ-9), 7-item General Anxiety Disorder (GAD-7), and Five-Facets Mindfulness Questionnaire (FFMQ), respectively. Physicians that received the virtual MBI sessions also completed post-questionnaires at a 3-week follow-up time point.

RESULTS

A total of 125 physicians responded to the online survey, with 56 completing the MBI. The prevalence of moderate to severe anxiety and depression was 45.0 and 46.7%, respectively. Mindfulness scores were negatively associated with depression (r = -0.38, P < 0.001) and anxiety (r = -0.36, p < 0.001). Mindfulness scores for the 56 physicians who received virtual MBI sessions were significantly improved (mean difference ± SD, 17.7 ± 16.1, p = 0.001). Significant reductions were also evidenced in anxiety (4.4 ± 4.2) and depression (4.5 ± 5.1) scores (p's < 0.001). There was also an improvement in mindfulness facets of observing (5.1 ± 4.7), describing (2.3 ± 4.3), acting with awareness (2.7 ± 5.3), non-judging of inner experience (3.6 ± 6.1), and non-reactivity to inner experience (3.9 ± 4.0) (p's < 0.001). A facet of mindfulness, acting with awareness was most efficiently associated with improved anxiety (B = -0.3, p = 0.02) and depression (B = -0.4, p = 0.01).

CONCLUSION

This study has demonstrated that virtual MBI improved physicians' psychological wellbeing and mindfulness during the crisis. Regular mindfulness practice may help physicians to tolerate and handle unpleasant circumstances, such as future epidemics or pandemics.