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

Targeting depression and diabetes comorbidity: A generalization meta-analysis of randomized controlled trials on cognitive-behavioural therapy efficacy

AIMS

This study evaluated the effectiveness of cognitive-behavioural therapy (CBT) in managing comorbid depression and diabetes by examining its influence on psychological and metabolic outcomes, addressing inconsistencies in existing research.

METHODS

A systematic review of 26 randomized controlled trials (RCTs) involving 4220 participants conducted between 2000 and 2024 was performed. Subgroup analyses evaluated geographic location, delivery modes, and intervention characteristics, including session duration and frequency.

RESULTS

CBT significantly reduced depressive symptoms (SMD = -1.30, 95 % CI -2.46 to -0.13, p < 0.05), demonstrating substantial psychological benefits. Its effect on glycemic control, measured by HbA1c levels, was modest and not statistically significant (SMD = -0.56, 95 % CI -1.12-0.01, p > 0.05). Subgroup analyses revealed variations based on region and intervention characteristics. High heterogeneity across studies highlighted the need for tailored approaches that consider context-specific factors and delivery methods.

CONCLUSIONS

CBT effectively reduces depressive symptoms in individuals with diabetes, supporting its role in integrated care models. However, its association with glycemic control remains inconclusive. Future research should refine CBT protocols to enhance both psychological and metabolic outcomes while addressing diverse needs.

Exploring the relationships between self-efficacy, self-care, and glycaemic control in primary care diabetes management

Objectives

Our study aimed to identify the complex interplay between self-efficacy, self-care practice, and glycaemic control among people with type 2 diabetes mellitus (PWDs) to inform the design of more targeted and effective behavioural interventions in primary care.

Methods

A cross-sectional descriptive study was performed with 294 PWDs managed in primary care. The Diabetes Management Self-Efficacy Scale (DMSES) and Summary of Diabetes Self-Care Activities (SDSCA) questionnaire measured patients' self-efficacy and self-care practice. Multivariate logistic regression models were developed to explore how SDSCA, DMSES, and their combined effect relate to glycaemic control, adjusting for patient characteristics. Network analysis in R software examined relationships between self-efficacy and self-care dimensions across glycaemic control subgroups using a Gaussian graphical model with the extended Bayesian information criterion.

Results

Half the PWDs (50.7%) had suboptimal glycaemic control. Better glycaemic control was consistently associated with higher self-efficacy (odds ratio (OR) = 0.76, 95% confidence (CI) (0.60, 0.97), p = 0.03), shorter duration of diabetes (OR = 1.89, 95% CI (1.08, 3.31), p = 0.03), normal waist circumference (OR = 1.76, 95% CI (1.02, 3.05), p = 0.04), absence of diabetes complications (OR = 2.09, 95% CI (1.10, 3.98), p = 0.02), and treatment with oral hypoglycaemic agents (OR = 3.05, 95% CI (1.53, 6.09), p < 0.01). Network analysis among people with well-controlled HbA1c revealed that diet adherence and self-efficacy had the most robust connection, with diet self-efficacy strongly associated with most self-efficacy dimensions. Self-efficacy in exercise, blood glucose monitoring, and foot care are the most central factors in the network structures for PWDs with suboptimal glycaemic control.

Conclusions

Our study highlights the critical role of self-efficacy in diabetes primary care. For people with optimal glycaemic control, prioritising self-efficacy in diet adherence is crucial for sustaining glycaemic outcomes and supporting other self-care behaviours. Among those with suboptimal glycaemic control, enhancing self-efficacy in exercise, blood glucose monitoring, and foot care is essential. Targeted education programs, personalised counselling, and E-health tools can further empower patients to manage their diabetes more effectively.

Social determinants of health and diabetes self-care management in South Africa

OBJECTIVE

Diabetes is an incapacitating condition affecting millions of people in South Africa. Maintaining optimal glycaemic control is crucial in preventing diabetes complications, highlighting the importance of diabetes self-care. This study examined how Social Determinants of Health (SDoH) are associated with self-care management practices in individuals with diabetes in South Africa using the framework developed by the Healthy People 2020 initiative.

METHODS

This study utilised cross-sectional Project Mind baseline data collected in 2017. Self-care management was coded on a scale from '0' (never) to '7' (daily adherence). For analysis, this scale was dichotomised into two categories: low self-care (scores 0-5) and high self-care (scores 6-7). Furthermore, adherence with these daily self-care activities was categorised into three levels: no adherence, partial adherence (inconsistent or partial adherence to activities), and full adherence (consistent adherence to all self-care activities).

RESULTS

The analytical sample (n = 539) was predominantly female (76%), with a mean age of 54 years, urban residents (60%), unemployed (70%), and attained secondary education (11.3%). In determining the attainment of a higher scale of self-care, age (AOR = 1.02, CI=[0.99,1.05]) and secondary education (AOR = 1.13, CI=[1.02, 2.03]) were associated with an increase in the scale of self-care. Conversely, urban residency (AOR = 0.50, CI=[0.29,0.88]) and being obese (AOR = 0.43, CI=[0.19,1.00]) were associated with a lower scale of self-care. Although not statistically robust, food insecurity decreased while being a woman and having a stable house showed an increased association. Travelling longer distances to access healthcare was positively associated with no adherence, and urban residency has a negative association with full adherence relative to partial adherence.

CONCLUSIONS

The associations between SDoH and diabetes self-care management within a South African context highlight the need for a more holistic understanding and approach to interventions. Future endeavours should examine these determinants more broadly and formulate integrative strategies to ameliorate diabetes self-care.

Diabetes Self-Care Behaviors in Singapore and Their Associations With Patients' Characteristics and Health Literacy

PURPOSE

The purpose of this study was to examine the relationship between self-management behaviors (eg, healthy eating, being active, medication taking, glucose monitoring, feet check), sociodemographic factors, disease-related characteristics, and health literacy among patients with type 2 diabetes in Singapore.

METHODS

Data were analyzed from a nationwide survey conducted between 2019 and 2020 (n = 387). Self-management behaviors were assessed using the Dietary Approaches to Stop Hypertension questionnaire, the Global Physical Activity Questionnaire, and a diabetes care questionnaire. A linear regression model was generated to examine the association of healthy eating with the variables of interest (sociodemographic factors, disease-related characteristics, and health literacy), and logistic regression models were generated to investigate the significant correlates of the remaining self-care behaviors.

RESULTS

Regression models showed that the 5 self-care behaviors have different correlates. Nonetheless, compared to individuals aged 50 to 64 years, those aged 65 years and above were less likely to be active, adhere to their medication prescription, and check their feet. Individuals with a higher number of diabetes-related complications were less likely to be sufficiently active but more likely to monitor their glucose level and check their feet. Moreover, individuals with poor health literacy were more likely to eat healthily and be sufficiently active.

CONCLUSIONS

Programs related to self-care behaviors can be tailored to specific demographics to improve their uptake in the population. Furthermore, encouraging comprehensive self-care behaviors in those aged 65 years and above is crucial for effective diabetes management.

Walking away from depression: the mediating role of walking activity in depression impacting blood glucose levels of people with diabetes or prediabetes

Introduction

Depression can exacerbate diabetes by impairing self-care behaviors and increasing the risk of complication; however, the underlying mechanism is still unclear. Given the suggested associations between walking activity, depression status, and blood glucose levels this study explores the intricate relationship between depression and blood glucose (BG) control, with a focus on walking activity as a behavioral mediator. The purpose of this study is to examine walking activity's mediating role in depression's impact on BG levels, investigating and validating the non-linear association between BG levels and walking activity. This retrospective real-world study demonstrates the potential of regular walking activity as a simple and accessible intervention to mitigate the negative effects of depression on BG levels in T2D and prediabetes.

Methods

A cohort of 989 users with T2D and prediabetes, who regularly tracked their steps levels and BG levels for 12 months using the Dario digital health platform was evaluated. The mediating role of the monthly average number of steps on the relationship between the self-reported depression status and lagged monthly average BG was assessed. Additionally, the association between monthly walking activity and monthly average BG was tested using a piecewise linear mixed effects model.

Results

Users with self-reported depression demonstrated increased BG levels compared to users without depression (B=8.00, P=.01). The association between depression and monthly average number of steps was significant (B=-.27, P<.005) and monthly average number of steps significantly predicted the following months' average BG (B=-.81, P=.001), adjusting for depression. The monthly average number of steps significantly mediated the effect of self-reported depression on the following month's average BG (M=.22, P<.005). Further sensitivity analysis demonstrated model robustness over various periods. Finally, non-linear dynamics of walking activity over time was validated using unseen data showing a decrease in monthly average BG for users with over an average of 400 steps per day (B=-1.87, P<.01).

Discussion

This study shows how regular walking may reduce the negative impact of depression on BG levels in people with T2D. Our findings advocate for the integration of walking activity into treatment protocols as a cost-effective, accessible intervention strategy to improve glycemic management and depressive symptoms in this population.

Depression and type 2 diabetes: A causal relationship and mechanistic pathway

Depression is a mood disorder that may increase risk for the development of insulin resistance (IR) and type 2 diabetes (T2D), and vice versa. However, the mechanistic pathway linking depression and T2D is not fully elucidated. The aim of this narrative review, therefore, was to discuss the possible link between depression and T2D. The coexistence of T2D and depression is twice as great compared to the occurrence of either condition independently. Hyperglycaemia and dyslipidaemia promote the incidence of depression by enhancing inflammation and reducing brain serotonin (5-hydroxytryptamine [5HT]). Dysregulation of insulin signalling in T2D impairs brain 5HT signalling, leading to the development of depression. Furthermore, depression is associated with the development of hyperglycaemia and poor glycaemic control. Psychological stress and depression promote the development of T2D. In conclusion, T2D could be a potential risk factor for the development of depression through the induction of inflammatory reactions and oxidative stress that affect brain neurotransmission. In addition, chronic stress in depression may induce the development of T2D through dysregulation of the hypothalamic-pituitary-adrenal axis and increase circulating cortisol levels, which triggers IR and 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.

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.

The Association between Self-Care Activities and Depression in Adult Patients with Type 2 Diabetes in Saudi Arabia: A Cross-Sectional Web-Based Survey Study

This study examined the level of adherence to self-care behaviors among individuals with type 2 diabetes in Saudi Arabia and its connection with depression and demographic factors. A cross-sectional survey was conducted among diabetes patients using the Patient Health Questionnaire (PHQ-9) to measure depression and the Summary of Diabetes Self-Care Activities (SDSCA) to evaluate diabetes self-care activities. Among the 252 participants who completed the survey, 43.2% were older than 55 and 59% were men. The ordinal regression model showed an association between the PHQ-9 and SDSCA scores with an OR of 0.83 (95% CI: 0.71 to 0.96, p = 0.013). The PHQ-9 score was significantly associated with blood sugar monitoring (OR: 0.90 [95% CI: 0.82 to 0.99, p = 0.003]), exercise (OR: 0.88 [95% CI: 0.79 to 0.98, p = 0.002]), and diet (OR: 0.94 [95% CI: 0.85 to 1.03, p = 0.045]). Of all the diabetes-related factors, only a history of hospitalization and receiving diabetes education were found to be associated with improved self-care behaviors. In conclusion, a negative association was found between PHQ-9 scores and the SDSCA mean score and most daily diabetic self-care behavior components.

Investigating the relationship between lifestyle factors, family history, and diabetes mellitus in non-diabetic visitors to primary care centers

We investigated the risk levels associated with diabetes mellitus. They were assessed based on whether anyone in their family had a history of diabetes. The data collected are measurements of blood pressure, weight, height, and smoking habits, as well as physical activity and educational status. Based on the American Diabetes Association's (ADA) recommendations, the questionnaire included a diabetes risk assessment. The risk of diabetes was 76.3% among participants with a family history of diabetes. There is a 41.1% chance of diabetes among those participants whose fathers had diabetes, and a 39.3% chance of diabetes among those participants whose mothers had diabetes. Additionally, those participants who have siblings with diabetes were 24% at high risk for developing diabetes. The prevalence of the risk of having a family history of diabetes is higher in the women in the family (RR = 3.12; P = 0.0001) as compared to the men in the family (RR = 1.9; P = 0.0001). Risk of diabetes more in the male (1.13 times higher) in the current study based on the ADA scale. There is evidence that various factors, including lifestyle choices, physical attributes, and family history, influence the risk of developing diabetes in the current study. The results of the current study indicate that there is a strong association between patients with T2D and those who have a family history of diabetes. Considering Saudi Arabia's high diabetes risk, evidence-based lifestyle modifications are needed.

Intertemporal decision-making as a mediator between personality traits and self-management in type 2 diabetes: a cross-sectional study

Objectives

The aims to investigate the mediating effect of intertemporal decision-making on the association between personality traits and self-management among individuals with in Type 2 Diabetes (T2DM).

Method

Patients with T2DM in the early stages of hospitalization at two tertiary hospitals in Shenyang and Jinzhou, Liaoning Province, May 2022 to January 2023. Questionnaires, including General Demographic, Self-Management, Big Five Personality, and Intertemporal Decision-Making, were administered. Pearson correlation analysis examined relationships between personality traits, intertemporal decision-making, and self-management. Hierarchical regression analysis identified self-management predictors. Mediation analysis used the PROCESS SPSS Macro version 3.3 model 4 to investigate intertemporal decision-making as mediator between personality traits and self-management.

Results

Pearson correlation analysis revealed significant associations between self-management scores, personality traits, and intertemporal decision-making. Hierarchical regression revealed that Neuroticism and Conscientiousness accounted for 20.8% of the variance in self-management, while intertemporal decision-making explained 4.5% of the variance. Finally, using the Bootstrap method, the mediation analysis showed that intertemporal decision-making partially mediated the effect of personality traits on self-management.

Conclusion

This study emphasizes the importance of intertemporal decision-making in improving self-management behaviors among patients with T2DM. Interventions targeted at modifying intertemporal decision-making preferences could be effective in enhancing self-management behaviors, leading to better health outcomes.

The Hidden Burden-Exploring Depression Risk in Patients with Diabetic Nephropathy: A Systematic Review and Meta-Analysis

INTRODUCTION

Diabetic nephropathy is a common complication among patients with diabetes mellitus, and it has been linked to a higher risk of depression. However, the magnitude of this association remains unclear. This study aimed to systematically review and meta-analyse the risk of depression in patients with diabetic nephropathy compared to diabetes patients without nephropathy.

METHODS

We conducted a systematic literature review, searching multiple databases from January 1964 to March 2023, and included randomized controlled trials, non-randomized controlled trials, and observational studies. We assessed the risk of bias using the Newcastle Ottawa scale for observational studies. The statistical analysis was performed using STATA version 14.2, and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated. A total of 60 studies were included.

RESULTS

The pooled OR for the risk of depression among patients with diabetic nephropathy was 1.78 (95% CI 1.56-2.04; I² = 83%; n = 56), indicating a significantly higher risk compared to diabetes patients without nephropathy (p < 0.001). Pooling the effect size across these studies showed that the pooled OR was 1.15 (95% CI 1.14-1.16; I² = 88%; n = 32). Subgroup analyses based on the type of diabetes and study region revealed no significant differences in the pooled estimates.

CONCLUSION

This study demonstrates that patients with diabetic nephropathy have a significantly higher risk of depression compared to diabetes patients without nephropathy. These findings highlight the importance of assessing and addressing the mental health of patients with diabetic nephropathy as part of their overall healthcare management.