Depression and type 2 diabetes in low- and middle-income countries: a systematic review

The Association Between Depressive Symptoms, Access to Diabetes Care, and Glycemic Control in Five Middle-Income Countries

OBJECTIVE

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.

RESEARCH DESIGN AND METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

The impact of food insecurity on mental health among older adults residing in low- and middle-income countries: A systematic review

Over the past few years, food insecurity has been increasing globally due to the COVID-19 pandemic, climate change, economic downturns and conflict and a number of other intersecting factors. Older adults residing in low- and middle-income countries are more vulnerable to food insecurity. While the impacts of food insecurity on physical health outcomes have been thoroughly researched, the effect on mental health outcomes remains under-researched, especially among older adults. Hence, this systematic review aims to investigate existing literature to assess how food insecurity impacts the mental health of older persons residing in LMICs. A systematic search of six databases and Google for studies was conducted. The search was limited to studies written in English and published between 2000 to the present. We identified 725 studies, out of which 40 studies were selected for a full-text review and 12 studies were included for a final analysis. The significant finding in all the included studies was that food insecurity is associated with the worsening mental health of older adults. We also found a complex interplay of factors such as gender, age, rural/urban and health conditions associated with the aggravation of several mental health outcomes. The findings of this study illuminate the need for improved food programs to improve food security and, consequently, mental health among older adults.

Prevalence of mental disorders in South Asia: A systematic review of reviews

Mental disorders are increasing in South Asia (SA), but their epidemiological burden is under-researched. We carried out a systematic umbrella review to estimate the prevalence of mental disorders and intentional self-harm in the region. Multiple databases were searched and systematic reviews reporting the prevalence of at least one mental disorder from countries in SA were included. Review data were narratively synthesised; primary studies of common mental disorders (CMDs) among adults were identified from a selected subset of reviews and pooled. We included 124 reviews. The majority (n = 65) reported on mood disorders, followed by anxiety disorders (n = 45). High prevalence of mental disorders and intentional self-harm was found in general adult and vulnerable populations. Two reviews met our pre-defined criteria for identifying primary studies of CMDs. Meta-analysis of 25 primary studies showed a pooled prevalence of 16.0% (95% CI = 11.0-22.0%, I 2 = 99.9%) for depression, 12.0% (5.0-21.0%, I 2 = 99.9%) for anxiety, and 14.0% (10.0-19.0, I 2 = 99.9%) for both among the general adult population; pooled estimates varied by country and assessment tool used. Overall, reviews suggest high prevalence for mental disorders in SA, but evidence is limited on conditions other than CMDs.

Factors influencing adherence to non-communicable disease medication in India: secondary analysis of cross-sectional data from WHO - SAGE2

Background: Non-communicable diseases (NCDs) are a leading cause of death globally and disproportionately affect those in low- and middle-income countries lower-middle-income countries. Poor medication adherence among patients with NCDs is prevalent in India due to lack of initiation, missed dosing or cessation of treatment, and represents a growing healthcare and financial burden. Objective: This study aimed to identify factors influencing medication adherence in adults with NCDs in India. Methods: We performed a cross-sectional study, conducting secondary data analysis on the second wave of the World Health Organisation's 'Study on global AGEing and adult health (SAGE)', a survey that collected data from predominantly older adults across India. Bivariate analysis and multivariate logistic regression modelling were conducted to specifically interrogate the reasons for lack of initiation and cessation of treatment. Reporting of this study was informed by the STROBE guidelines. Results: The average medication adherence rate was 51% across 2,840 patients with one or more NCDs, reflecting non-initiation and lack of persistence of treatment. The strongest factor significantly predicting non-adherence to medication across these components was multimorbidity (odds ratio 0.47, 95% CI 0.40-0.56). Tobacco use (OR = 0.76, CI 0.59-0.98) and never having attended school (OR = 0.75, CI 0.62-0.92) were significantly associated with poor medication adherence (p < 0.05) while rural living (OR = 0.70, CI 0.48-1.02), feelings of anxiety (OR = 0.84, CI 0.66-1.08) and feelings of depression (OR = 0.90, CI 0.70-1.16) were factors lacking statistically significant association with medication adherence on multivariate analysis. Older age (OR = 2.02, CI 1.51-2.71) was significantly associated with improved medication adherence whilst there was a weak association between increased wealth and improved medication use. Limitations: The SAGE2 survey did not capture whether patients were taking their medication doses according to prescribed instructions-as a result our findings may under-estimate the true prevalence of medication non-adherence. Conclusion: Our analysis provides evidence that poor medication adherence in India is multifactorial, with distinct socioeconomic and health-system factors interacting to influence patient decision making. Future large-scale surveys interrogating adherence should assess all components of adherence specifically, whilst public health interventions to improve medication adherence should focus on barriers that may exist due to multimorbidity, comorbid depression and anxiety, and low educational status.

Exploring Inequalities in the Use, Quality, and Outcome of the Diabetes Management Program of Indonesian National Health Insurance

Introduction

Access to diabetes management programs is crucial to control the increasing contribution of diabetes to the global burden of disease. However, evidence regarding whether such services are equally accessible for all population groups is still lacking, particularly in the context of low-middle-income countries and under the National Health Insurance (NHI). This study aimed to assess the extent of socioeconomic and geographical inequalities in the use, quality, and outcome of a diabetes management program for beneficiaries of Indonesian NHI.

Methods

A total of 628 participants in the NHI diabetes management program in Banyumas District, Indonesia, were included in 2021 in this cross-sectional study. The main variables measured were regular visits to primary care facilities, standard medication, and glycemic control. The rate difference and rate ratio of age-sex standardized prevalence rates, as well as multiple logistic regressions, were used to measure the extent of inequalities.

Results

Around 70% of participants regularly visited primary care facilities and received standard medication, but only 35% had good glycemic control. Highly educated participants were more likely to have regular visits compared to low-educated participants (odds ratio [OR] 1.92; 95% confidence interval [95% CI]: 1.04-3.56). Based on employment and type of NHI beneficiaries, a small extent and even reverse inequalities were found although these findings were insignificant statistically. Urban residents were also more likely to have regular visits (OR 6.61; 95% CI: 2.90-15.08), receive standard medication (OR 9.73; 95% CI: 3.66-25.90), and have good glycemic control (OR 3.85; 95% CI: 1.68-8.83) compared to rural residents.

Conclusions

Evidence on the extent of socioeconomic inequalities is inconclusive but substantial geographical inequalities in the use, quality, and outcome of diabetes management programs exist among Indonesian NHI beneficiaries. Future implementation policies of the program should consider particularly the geographical characteristics of participants to avoid and reduce inequalities and, hence, the disease burden of diabetes.

Sex differences in the association between diabetes and depressive symptoms: findings from Mexican National Health and Nutrition Survey 2018-2019

AIMS

We set out to investigate the potential sex differences in the association between diabetes and depressive symptoms by conducting an interaction analysis, and to investigate whether sex mediates the effect of diabetes on depressive symptoms.

METHODS

We conducted analyses on cross-sectional data of adults aged 20 years or older in the Mexican National Health and Nutrition Survey 2018-2019 (ENSANUT 2018-2019). Diabetes was defined by self-reported medical diagnosis, and depressive symptoms were measured using the seven-item Centre for Epidemiologic Studies Depression scale. First, an unadjusted interaction analysis was conducted. Second, the inverse probability of treatment weighting was applied to account for imbalances and biases. Third, the four-way decomposition method was used to estimate the potential mediating effect of sex.

RESULTS

In the study population (N=43 074), the prevalence of diabetes was 9.3% for men and 11.7% for women. Depressive symptoms were more prevalent in women (19.0%) than in men (9.5%). Women with diabetes had the greatest odds of having depressive symptoms, compared with men without diabetes (ORwomen-diabetes3.49 (95% CI: 3.16 to 3.86)). The interaction analysis indicated that diabetes and sex interact on both, multiplicative and additive scales (ratio of ORs (95% CI) 1.22 (1.02 to 1.45), and relative excess risk due to interaction (95% CI) 0.99 (0.63 to 1.36)). The four-way decomposition analysis showed that the interaction effect between diabetes and sex is larger than the mediation effect.

CONCLUSIONS

We found a positive interaction between diabetes and sex in the odds of having depressive symptoms. Mental health and diabetes care services planning would benefit from adopting a sex-informed approach.

Exploring the coach-client interaction of virtual health coaching conducted in patients with type 2 diabetes mellitus: A scoping review

BACKGROUND AND AIMS

Recent studies reported that virtual health coaching (VHCs) had greater benefits on glycemic control compared to traditional diabetes care. However, VHCs are reported to lack real-time evaluations and personalized patient feedback. To support the intention of developing high quality VHC programs, this review aimed to describe characteristics of the coach-client interaction within VHC that had beneficial impacts on patients with type 2 diabetes mellitus (T2DM) patients.

METHODS

We conducted a comprehensive scoping review following the six steps of the framework developed by Arksey and O'Malley. Twelve articles that met the eligibility criteria were retrieved from Medline, ProQuest, Science Direct and Scopus.

RESULTS

We found five key concepts regarding the characteristics of coach-client interactions. First, the discussion through smartphones involved individualized feedback and insights, goals setting, barrier identification, facilitation to change behavior, and also clients' clinical, mental, and social conditions. Second, the interactions were supported by in-app features including in-app messaging, email, in-app live video consultation and in-app discussion forums. Third, the most used time of evaluation was 12 months. Fourth, the most commonly delivered topic was lifestyle changes which were predominantly focused on dietary patterns. Fifth, most of health coaches were health liaisons.

CONCLUSIONS

The findings highlight the discussion points within interaction through well-planned devices combining an appropriate in-app features contribute to an effective coach-client interactions of VHC. It is expected that future studies can apply these findings as the basis to develop a single set of standards for VHCs which refer to specific patterns of patient-oriented interaction.

Effectiveness and implementation of psychological interventions for depression in people with non-communicable diseases in South Asia: Systematic review and meta-analysis

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

Infrastructure, policy and regulatory interventions to increase physical activity to prevent cardiovascular diseases and diabetes: a systematic review

BACKGROUND

Noncommunicable diseases are major contributors to morbidity and mortality worldwide. Modifying the risk factors for these conditions, such as physical inactivity, is thus essential. Addressing the context or circumstances in which physical activity occurs may promote physical activity at a population level. We assessed the effects of infrastructure, policy or regulatory interventions for increasing physical activity.

METHODS

We searched PubMed, Embase and clinicaltrials.gov to identify randomised controlled trials (RCTs), controlled before-after (CBAs) studies, and interrupted time series (ITS) studies assessing population-level infrastructure or policy and regulatory interventions to increase physical activity. We were interested in the effects of these interventions on physical activity, body weight and related measures, blood pressure, and CVD and type 2 diabetes morbidity and mortality, and on other secondary outcomes. Screening and data extraction was done in duplicate, with risk of bias was using an adapted Cochrane risk of bias tool. Due to high levels of heterogeneity, we synthesised the evidence based on effect direction.

RESULTS

We included 33 studies, mostly conducted in high-income countries. Of these, 13 assessed infrastructure changes to green or other spaces to promote physical activity and 18 infrastructure changes to promote active transport. The effects of identified interventions on physical activity, body weight and blood pressure varied across studies (very low certainty evidence); thus, we remain very uncertain about the effects of these interventions. Two studies assessed the effects of policy and regulatory interventions; one provided free access to physical activity facilities and showed that it may have beneficial effects on physical activity (low certainty evidence). The other provided free bus travel for youth, with intervention effects varying across studies (very low certainty evidence).

CONCLUSIONS

Evidence from 33 studies assessing infrastructure, policy and regulatory interventions for increasing physical activity showed varying results. The certainty of the evidence was mostly very low, due to study designs included and inconsistent findings between studies. Despite this drawback, the evidence indicates that providing access to physical activity facilities may be beneficial; however this finding is based on only one study. Implementation of these interventions requires full consideration of contextual factors, especially in low resource settings.

TRIAL REGISTRATION

PROSPERO 2018 CRD42018093429.

Relationship of Mindfulness with Depression, Self-Management, and Quality of Life in Type 2 Diabetes Mellitus: mindfulness is a Predictor of Quality of Life

Context

Mindfulness interventions have shown promising results in both psychological and clinical outcomes of type 2 diabetes mellitus. Depression, self-management, and quality of life (QOL) have shown improvement with mindfulness interventions; however, little is known about dispositional mindfulness and its relationship with depression, self-management, and QOL in type 2 diabetes mellitus.

Aims

The aim of this study is to assess the relationship of dispositional mindfulness with depression, self-management, and QOL in patients of type 2 diabetes.

Settings and Design

Noncommunicable disease outpatient department of a tertiary care medical center of East India. Cross-sectional study.

Subjects and Methods

Ninety-nine patients with type 2 diabetes completed the Five Facets Mindfulness Questionnaire, Diabetes Self-Management Questionnaire, and World Health Organization QOL BREF questionnaire and Hamilton Rating Scale for depression.

Statistical Analysis Used

Pearson's correlation and hierarchical regression analysis using the SPSS software version 20.0.

Results

Describing, acting with awareness, and nonjudging facets of mindfulness showed a negative correlation with depression (P < 0.05). Acting with awareness and nonreactivity to inner experience were positively correlated with the physical activity domains of self-management (P < 0.05). All facets of mindfulness showed a positive correlation with four domains of QOL. In hierarchical regression analysis, after controlling for sociodemographic and clinical variables, mindfulness predicted the psychological domain of QOL, explaining 31% of the variance (P ≤ 0.001). However, mindfulness did not predict depression or self-management.

Conclusions

Dispositional mindfulness is a strong predictor of QOL in type 2 diabetes mellitus and hence can be targeted with interventions to improve psychological outcomes.

Depression and its associated factors among patients with diabetes: A cross-sectional survey at Mnazi Mmoja Referral Hospital in Zanzibar, Tanzania

BACKGROUND

Depression is one of the mental illnesses that cause disability worldwide, and is a significant contributor to the global burden of diseases. Although depression is reported among patients with diabetes in high-income countries, it remains undetected or undiagnosed in low and middle-income countries. This article describes the prevalence of depression and its associated factors among patients with diabetes in Zanzibar, United Republic of Tanzania.

MATERIALS AND METHODS

A cross-sectional study design was conducted at Mnazi Mmoja Referral Hospital (MMRH). A simple random sampling method was used to select the potential participants. Depressive symptoms were assessed using Patient Health Questionnaire-9(PHQ-9). Data were coded and analyzed using SPSS 23.0. A Chi-square test was performed to obtain the association between depression and socio-demographic, medical and psychological factors. A P-value of <0.05 with a 95% confidence interval was used to determine the significant associations between the variables. Also, multiple logistic regression was performed with the factors with P-value <0.2 to ascertain the confounding factors.

RESULTS

A total of 267 patients with diabetes responded to the questionnaire of which 142 (53.2%) were males. The mean age of participants was 50 years and a standard deviation of ±14. The overall prevalence of depression in this study was 73%. The specific type of depression among diabetic patients varied from severe (8%) to mild depression (30%). Respondents who had difficulties in adhering to the treatment regimen (AOR = 5.7: 95% CI, 2.11-15.18, p = 0.001), feeling angry or stressed (AOR = 4.4: 95% CI, 2.44-8.10, p<0.001), and had diabetic retinopathy (AOR = 2.8: 95% CI, 1.45-5.28, p = 0.002) had symptoms of depression. Furthermore, respondents who had diabetic foot ulcers (AOR = 0.1: 95% CI, 0.04-0.49, p = 0.003) and impotence for male patients (AOR = 0.4: 95% CI, 0.20-0.68, p = 0.002) were 0.1 and 0.4 times less likely to have depression respectively.

CONCLUSION

The majority of patients with diabetes have symptoms of depression. Adherence to the treatment regimen, diabetic retinopathy, feeling angry or stressed, impotence and diabetic foot ulcer were associated with depression. Thus, early screening of depression among patients with diabetes is crucial to enhance self-management and good health outcomes.

Type 2 diabetes and depressive symptoms in the adult population in Mexico: a syndemic approach based on National Health and Nutrition Survey

Background

The syndemic approach allows the analysis of clusters of diseases that affect a population in contexts of geographic, social and economic inequalities at the same moment and time. This study aims to analyze, from a syndemic perspective, the relationship between type 2 diabetes (T2D) and depressive symptoms in Mexican adults and its association with individual, contextual and structural factors.

Methods

Observational, cross-sectional study based on secondary data from Mexico’s National Health and Nutrition Survey 2018–19. The sample of this study consisted of 16 835 adults, which represented a total of 78 463 734 persons aged ≥ 20 years. Bivariate descriptive analyses were performed and logistic regression models were estimated to analyze the association between T2D and depressive symptoms with various co-variables. In addition, interactions between T2D and depressive symptoms with obesity, educational level, and socioeconomic status were tested.

Results

In the study population, 12.2% of adults aged 20 years and older self-reported having T2D, 14.7% had depressive symptoms and 2.8% had both diseases. There was a statistically significant relationship between T2D and depressive symptoms. The prevalence of T2D and depressive symptoms was higher compared to people who did not have these two conditions. Obesity increased the probability of having T2D, while violence was statistically associated with people having depressive symptoms. A low level of education increased the odds ratio of having T2D and depressive symptoms.

Conclusion

The availability of analytical frameworks such as the syndemic perspective could help to identify areas of opportunity for decision making and actions for population groups that–because of their individual, contextual and structural disadvantages–are at greater risk of experiencing poorer health outcomes due to the presence of T2D and depressive symptoms.

Prevalence and correlates of diabetes distress and depressive symptoms among individuals with type-2 diabetes mellitus during Ramadan fasting: A cross-sectional study in Bangladesh amid the COVID-19

AIMS

Psychological concerns relating to "diabetes distress" (DD) and depressive symptoms (DS) in individuals with type-2 diabetes mellitus (T2DM) may negatively impact adherence to medical treatments and overall mental health. Thus, this study was undertaken to investigate DS and DD in relation to fasting during the month of Ramadan.

METHODS

A cross-sectional survey was conducted among 735 patients with T2DM in 2021. DD and DS were measured by the Problem Areas in Diabetes scale and Patient Health Questionnaire-9, respectively. Logistic regression and correlation analyses were executed.

RESULTS

More than one-third of the participants (41.2%) had DD and DS (36.9%). DS was significantly higher in participants who did not fast (p = 0.027). Participants who had higher dietary diversity were less likely to have DD (p = 0.004) and DS (p = 0.001). Females (AOR = 1.89, 95% CI: 1.25-2.85) and those who lived alone (AOR = 1.89, 95% CI: 1.25-2.85) were more likely to have DS. Participants with diabetes-related complications were more likely to experience DS (AOR = 2.17; 95% CI: 1.5-3.13) and DD (AOR = 3.46; 95% CI: 2.42-4.95). DD was also associated with being younger (p = 0.003), having hypertension (p = 0.030), having heart disease (p = 0.012), and taking insulin (p = 0.010).

CONCLUSIONS

Individuals with T2DM who were not fasting experienced more mental health concerns. Psychosocial support and other interventions from health professionals should be examined and empirical interventions should be implemented to promote the mental health and well-being of individuals with T2DM.

Prevalence and Associated Factors of Diabetes Distress, Depression and Anxiety Among Primary Care Patients With Type 2 Diabetes During the COVID-19 Pandemic in Egypt: A Cross-Sectional Study

The prevalence of type 2 diabetes mellitus (T2DM) is growing worldwide. T2DM is often complicated by a range of psychological disorders that interfere with glycemic control and self-care. Previous studies have reported diabetes distress, depression, and anxiety among patients with T2DM; however; little is known about the burden of these comorbid mental disorders in primary care patients with T2DM treated in Egypt during the COVID-19 era. Participants were selected by convenient sampling from eight rural primary healthcare facilities from Ismailia in Egypt. Symptoms of diabetes distress, depression and anxiety were assessed by using the Arabic version of the 20-item Problem Areas in Diabetes (PAID), Patient Health Questionnaire 9, and Generalized Anxiety Disorder Scales, respectively. Multiple hierarchical logistic regression models were used to estimate the significant factors associated with diabetes distress, depression, and anxiety. A total of 403 individuals with T2DM were interviewed. The prevalence of severe diabetes distress was 13.4% (95% CI: 10.1-16.7), while prevalence of depressive and anxiety symptoms was 9.2% (95% CI: 6.4-12.0%), and 4.0% (95% CI: 2.1-5.9), respectively. In a series of hierarchical logistic regression models, significant predictors for diabetes distress were being married, illiterate, not-working, living with insufficient income, and having multi-comorbidities. Likewise, the significant predictors for depression and anxiety were elevated glycated hemoglobin level and the higher PAID total score, while having multi-comorbidities was a significant predictor for anxiety only. Diabetes distress was more prevalent than depressive and anxiety symptoms in this study population. Several sociodemographic and clinical characteristics were identified to be related with psychological problems among patients with T2DM, which necessitate a multidisciplinary team-based approach for optimal screening and management.

Comorbidity Between Recent Diagnosis of Type 2 Diabetes and Non-Psychotic Psychiatric Disorders: Metabolic Characteristics and Clinical Correlates

PURPOSE

To describe the metabolic status and clinical characteristics associated with NPPD in patients with less than five years of T2D diagnosis and explore the role of age in the presentation of psychiatric comorbidities.

PATIENTS AND METHODS

This was a cross-sectional study of subjects who attended a comprehensive care program. Patients were assessed using the Mini-International Neuropsychiatric Interview, and clinical and metabolic characteristics were registered. Multivariate logistic regression analyses were conducted to identify risk and protective factors for psychiatric disorders. We performed an analysis to further explore age's influence on our results.

RESULTS

We included 1953 patients, and 40.1% had any psychiatric disorder. Younger age, female sex, and personal psychiatric history were associated with NPPD. The use of insulin was reported as a protective factor for eating disorders. Body mass index was associated with any psychiatric disorders and eating disorders. The analysis of age reported that patients younger than 45 years had the worst metabolic parameters and increased odds for NPPD, while patients older than 65 years had the best metabolic measures and decreased odds for psychiatric comorbidity.

CONCLUSION

NPPD were frequent comorbidities in our sample; younger age, female sex, and personal psychiatric history were the most important factors associated with psychiatric comorbidities. Younger subjects experience a higher risk for psychiatric disorders and worst metabolic control.

Factors Associated with Depressive Symptoms in Korean Adults with Diabetes Mellitus: A Cross-Sectional Study

Depressive symptoms in adults with diabetes are influenced by sociodemographic status, health-related behaviors, and comorbid diseases. This study aimed to examine the factors related to depressive symptoms in Korean adults with diabetes, using data from the Korea National Health and Nutrition Examination Surveys for 2014, 2016, and 2018. A total of 1529 Korean adults with diabetes were selected as subjects for the analysis. The age group of the participants was 19-80 years, with a mean age of 63.34 ± 0.68 years. The depressive symptoms and severity were assessed using the Korean version of the Patient Health Questionnaire-9. Descriptive statistics, chi-squared tests, and univariate and multivariable logistic regression analyses were used by applying a complex sample analysis method. The findings showed that 9.6% of Korean adults with diabetes exhibited moderate to severe depressive symptoms, which gradually decreased during 2014-2018. The most significant independent factors of depressive symptoms were living without a spouse, unemployment, low household income, fair or poor subjective health conditions, high perceived stress, a diabetes duration of over 20 years, and stroke. In females, living without a spouse, low household income, poor subjective health condition, high perceived stress, stroke, and coronary heart disease were significantly associated with depressive symptoms. In males, living without a spouse, unemployment, poor subjective health condition, high perceived stress, and hypertension were significantly associated with depressive symptoms. These findings highlight the importance of regular screening for depressive symptoms in patients with diabetes as the prevalence of depressive symptoms in people with diabetes may be higher than those in the general population. Future studies should also examine the development and effectiveness of psychosocial intervention programs to decrease depressive symptoms in patients with diabetes, considering cost-effective and time-saving approaches.

Diabetes comorbidities in low- and middle-income countries: An umbrella review

Background

Diabetes mellitus, particularly type 2 diabetes, is a major public health burden globally. Diabetes is known to be associated with several comorbidities in high-income countries. However, our understanding of these associations in low- and middle-income countries (LMICs), where the epidemiological transition is leading to a growing dual burden of non-communicable and communicable disease, is less clear. We therefore conducted an umbrella review to systematically identify, appraise and synthesise reviews reporting the association between diabetes and multiple key comorbidities in LMICs.

Methods

We searched Medline, Embase, Global Health, and Global Index Medicus from inception to 14 November 2020 for systematic reviews, with or without meta-analyses, of cohort, case-control or cross-sectional studies investigating the associations between diabetes and cardiovascular disease (CVD), chronic kidney disease (CKD), depression, dengue, pneumonia, and tuberculosis within LMICs. We sought reviews of studies focused on LMICs, but also included reviews with a mixture of high-income and at least two LMIC studies, extracting data from LMIC studies only. We conducted quality assessment of identified reviews using an adapted AMSTAR 2 checklist. Where appropriate, we re-ran meta-analyses to pool LMIC study estimates and conduct subgroup analyses.

Results

From 11 001 articles, we identified 14 systematic reviews on the association between diabetes and CVD, CKD, depression, or tuberculosis. We did not identify any eligible systematic reviews on diabetes and pneumonia or dengue. We included 269 studies from 29 LMICs representing over 3 943 083 participants. Diabetes was positively associated with all comorbidities, with tuberculosis having the most robust evidence (16 of 26 cohort studies identified in total) and depression being the most studied (186 of 269 studies). The majority (81%) of studies included were cross-sectional. Heterogeneity was substantial for almost all secondary meta-analyses conducted, and there were too few studies for many subgroup analyses.

Conclusions

Diabetes has been shown to be associated with several comorbidities in LMICs, but the nature of the associations is uncertain because of the large proportion of cross-sectional study designs. This demonstrates the need to conduct further primary research in LMICs, to improve, and address current gaps in, our understanding of diabetes comorbidities and complications in LMICs.

Cardiovascular risk factors and major depressive disorder: a cross-sectional study in São Paulo, Brazil

BACKGROUND

Cardiovascular risk factors can mediate the association between depression and cardiovascular diseases.

OBJECTIVE

To evaluate cardiovascular risk factors in adult individuals with and without histories of major depression in the metropolitan region of São Paulo, Brazil.

DESIGN AND SETTING

Cross-sectional study in São Paulo (SP), Brazil.

METHODS

This study evaluated 423 individuals without any lifetime diagnosis of major depression and 203 individuals with a previous diagnosis of major depression (n = 626). The participants underwent a psychiatric evaluation using a structured clinical interview (SCID-1), an anthropometric evaluation and a clinical evaluation that included blood pressure measurement and assessment of fasting blood glucose, lipid profile and physical activity levels.

RESULTS

Individuals with histories of major depression were more likely to be female (P < 0.0001). Individuals with lifetime diagnoses of major depression were more likely to be current smokers (odds ratio, OR 1.61; 95% confidence interval, CI 1.01-2.59) and to have diabetes (OR 1.79; 95% CI 1.01-3.21); and less likely to be obese (OR 0.58; 95% CI 0.35-0.94).

CONCLUSION

Individuals with major depression had higher odds of presenting tobacco smoking and diabetes, and lower odds of being obese. Healthcare professionals need to be aware of this, so as to increase the rates of diagnosis and treatment in this population.

Meta-analysis of studies on depression prevalence among diabetes mellitus patients in Africa

Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion or insulin action. It can be caused by the consumption of carbohydrate meals or medication side effects. Depression as a comorbid condition in an individual with diabetes is accountable for increased disability, mortality, and significant health problem in patients. As a continent, Africa does not have an overall estimation of depression prevalence among diabetes mellitus patients at a regional level. Consequently, this study's purpose was to use the meta-analysis method to summarize estimates of extant studies that have reported depression prevalence among patients with diabetes mellitus in Africa. The literature search method was executed to classify studies with reported depression prevalence with evidently designed inclusion and exclusion criteria. In total, 20 studies from sundry screened articles were appropriate for ultimate inclusion in the meta-analysis. Since substantial heterogeneity was expected, a random-effects meta-analysis was carried out using the number of cases with a total sample size to estimate the prevalence of diabetes mellitus at a regional level. The residual amount of heterogeneity was found to be high according to the statistics of τ² = 0.06; I² = 99.10%, chi-square = 2184.85, degree of freedom = 19 and P =< 0.001. The pooled depression prevalence was 40% within a 95% confidence interval of 29%–51%. The meta-regression analysis result showed that none of the included moderators contributed to the heterogeneity of studies. The result of effect size estimates against its standard error showed publication bias with a P-value of 0.001. The meta-analysis findings of this study have indicated that depression prevalence in Africa is still high. Reporting on numerous risk factors like socio-demographic characteristics were not possible in this study because of a lack of completeness in the included articles. Consequently, screening diabetes patients for comorbid depression with its associated risk factors is highly recommended.

The relationship between depression and metabolic control parameters in type 2 diabetic patients: A cross-sectional and feasibility interventional study

BACKGROUND

Substantial evidence supports a bidirectional relationship between diabetes and clinical depression. However, little is known about the effect of treating one condition on the control of the other. Thus, this study aimed to determine the prevalence of depression among Type II diabetes mellitus (T2DM) patients and to assess the efficacy and feasibility of escitalopram treatment of depression on their metabolic control parameters.

METHODS

T2DM patients attending primary care clinics in the North of Jordan were enrolled in a cross-sectional study during the period from February to December 2019 (n = 157). Depressive symptoms were screened utilising the patient health questionnaire-9 (PHQ-9) tool. Metabolic control was assessed by measurement of glycated haemoglobin (HbA1c), triglycerides, cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL). Patients with moderate to severe depressive symptoms by PHQ-9 (n = 58) were interviewed by a psychiatrist to confirm a clinical diagnosis of depression. Eligible depressed patients were administered escitalopram 10 mg orally once daily for 3 months (n = 12). Thereafter, depressive symptoms and metabolic control measures were reassessed.

RESULTS

The prevalence of moderate to severe depressive symptoms among T2DM patients, according to PHQ-9, was 36.94%, while the prevalence of clinical depression based on interview was 7.64%. Baseline PHQ-9 scores correlated significantly with baseline levels of HbA1c, HDL, cholesterol and triglycerides. Escitalopram treatment intervention resulted in significant improvement of PHQ-9 scores without significantly improving any of the metabolic control measures.

CONCLUSION

The relationship between depression and T2DM in the context of metabolic syndrome is plausible. However, our results show that escitalopram treatment may not be associated with significant improvement in metabolic control parameters among these patients. Our study has laid the groundwork for future randomised clinical trials with larger sample size and longer follow-up.

Mental health and diabetes self-management: assessing stakeholder perspectives from health centers in Northern Mexico

BACKGROUND

People living with diabetes have an increased risk of developing mental health issues. Mexico has observed a high prevalence of people living with diabetes suffering from mental health issues, such as anxiety and depression. Self-management programs have demonstrated promise in helping participants address and prevent not only physiological health complications but mental health issues as well. This qualitative study aimed to understand the mental health benefits of a diabetes self-management intervention for health centers in Northern Mexico and opportunities for improvement through assessing stakeholder perspectives.

METHODS

Trained research staff used a semi-structured questionnaire guide to conduct all interviews and focus groups from February-May 2018. Individual interviews (n = 16) were conducted face-to-face at four health center sites among all health center directors and key staff located throughout the state of Sonora. One focus group (n = 41) was conducted at each of the four health centers among intervention participants. Directed content analysis was used to establish themes by understanding relationships, identifying similar experiences, and determining patterns across datasets.

RESULTS

In total 57 health center directors, health center staff, and intervention participants were involved in the interviews and focus groups across the four health centers. Overall the analysis identified four themes throughout the data, two were categorized as benefits and two as improvements. The primary themes for participant benefits were an increase in self-efficacy and social support to manage their chronic conditions. These were evident from not only participant perspectives, but health staff observations. Conversely, increased family involvement, and increased mental health integration and services within diabetes care were identified themes for opportunities to improve the intervention to be more inclusive and holistic.

CONCLUSION

All stakeholders observed the benefits for intervention participants and opportunities for more inclusivity of the family and integration as well as an increase in mental health services. The themes identified demonstrated a need to more proactively enhance and utilize diabetes self-management as a means to improve mental health outcomes among people living with diabetes in Mexico. This is an opportunity to employ a more comprehensive approach to diabetes self-management, and integrate mental health services into overall diabetes care.

TRIAL REGISTRATION

www.ClinicalTrials.gov, identifier: NCT02804698 . Registered on June 17, 2016.

Interventions for preventing type 2 diabetes in adults with mental disorders in low- and middle-income countries

BACKGROUND

The prevalence of type 2 diabetes is increased in individuals with mental disorders. Much of the burden of disease falls on the populations of low- and middle-income countries (LMICs).

OBJECTIVES

To assess the effects of pharmacological, behaviour change, and organisational interventions versus active and non-active comparators in the prevention or delay of type 2 diabetes among people with mental illness in LMICs.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Controlled Trials Register, CENTRAL, MEDLINE, Embase and six other databases, as well as three international trials registries. We also searched conference proceedings and checked the reference lists of relevant systematic reviews. Searches are current up to 20 February 2020.

SELECTION CRITERIA

Randomized controlled trials (RCTs) of pharmacological, behavioural or organisational interventions targeting the prevention or delay of type 2 diabetes in adults with mental disorders in LMICs.

DATA COLLECTION AND ANALYSIS

Pairs of review authors working independently performed data extraction and risk of bias assessments. We conducted meta-analyses using random-effects models.

MAIN RESULTS

One hospital-based RCT with 150 participants (99 participants with schizophrenia) addressed our review's primary outcome of prevention or delay of type 2 diabetes onset. Low-certainty evidence from this study did not show a difference between atypical and typical antipsychotics in the development of diabetes at six weeks (risk ratio (RR) 0.46, 95% confidence interval (CI) 0.03 to 7.05) (among a total 99 participants with schizophrenia, 68 were in atypical and 31 were in typical antipsychotic groups; 55 participants without mental illness were not considered in the analysis). An additional 29 RCTs with 2481 participants assessed one or more of the review's secondary outcomes. All studies were conducted in hospital settings and reported on pharmacological interventions. One study, which we could not include in our meta-analysis, included an intervention with pharmacological and behaviour change components. We identified no studies of organisational interventions. Low- to moderate-certainty evidence suggests there may be no difference between the use of atypical and typical antipsychotics for the outcomes of drop-outs from care (RR 1.31, 95% CI 0.63 to 2.69; two studies with 144 participants), and fasting blood glucose levels (mean difference (MD) 0.05 lower, 95% CI 0.10 to 0.00; two studies with 211 participants). Participants who receive typical antipsychotics may have a lower body mass index (BMI) at follow-up than participants who receive atypical antipsychotics (MD 0.57, 95% CI 0.33 to 0.81; two studies with 141 participants; moderate certainty of evidence), and may have lower total cholesterol levels eight weeks after starting treatment (MD 0.35, 95% CI 0.27 to 0.43; one study with 112 participants). There was moderate certainty evidence suggesting no difference between the use of metformin and placebo for the outcomes of drop-outs from care (RR 1.22, 95% CI 0.09 to 16.35; three studies with 158 participants). There was moderate-to-high certainty evidence of no difference between metformin and placebo for fasting blood glucose levels (endpoint data: MD -0.35, 95% CI -0.60 to -0.11; change from baseline data: MD 0.01, 95% CI -0.21 to 0.22; five studies with 264 participants). There was high certainty evidence that BMI was lower for participants receiving metformin compared with those receiving a placebo (MD -1.37, 95% CI -2.04 to -0.70; five studies with 264 participants; high certainty of evidence). There was no difference between metformin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Low-certainty evidence from one study (48 participants) suggests there may be no difference between the use of melatonin and placebo for the outcome of drop-outs from care (RR 1.00, 95% CI 0.38 to 2.66). Fasting blood glucose is probably reduced more in participants treated with melatonin compared with placebo (endpoint data: MD -0.17, 95% CI -0.35 to 0.01; change from baseline data: MD -0.24, 95% CI -0.39 to -0.09; three studies with 202 participants, moderate-certainty evidence). There was no difference between melatonin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Very low-certainty evidence from one study (25 participants) suggests that drop-outs may be higher in participants treated with a tricyclic antidepressant (TCA) compared with those receiving a selective serotonin reuptake inhibitor (SSRI) (RR 0.34, 95% CI 0.11 to 1.01). It is uncertain if there is no difference in fasting blood glucose levels between these groups (MD -0.39, 95% CI -0.88 to 0.10; three studies with 141 participants, moderate-certainty evidence). It is uncertain if there is no difference in BMI and depression between the TCA and SSRI antidepressant groups.

AUTHORS' CONCLUSIONS

Only one study reported data on our primary outcome of interest, providing low-certainty evidence that there may be no difference in risk between atypical and typical antipsychotics for the outcome of developing type 2 diabetes. We are therefore not able to draw conclusions on the prevention of type 2 diabetes in people with mental disorders in LMICs. For studies reporting on secondary outcomes, there was evidence of risk of bias in the results. There is a need for further studies with participants from LMICs with mental disorders, particularly on behaviour change and on organisational interventions targeting prevention of type 2 diabetes in these populations.

Self care practices and psychological distress among diabetic patients in Manipur during COVID-19: A scenario from the North East

BACKGROUND AND AIM

Uncontrolled diabetes has emerged as one of the major risk factors for mortality in patients with coronavirus disease (COVID-19). Physical inactivity, alterations in dietary habits, and inability to seek guidance from the physician are some of the contributing factors. This study aims to assess the self-care practices and psychological distress during the pandemic among diabetic patients visiting the institute's out patient department.

METHOD

A convenient sampling method was used to recruit subjects from a representative clinical sample using validated scales like the Summary of Diabetes Self-Care Activities (SDSCA) and Kessler Psychological Distress Scale (K10).

RESULT

The study enrolled a total of 108 subjects with the mean age being 56.3 years. The everyday healthy eating plan was followed by 76.85% (N = 83) subjects and daily physical activity for at least 30 min performed by 50% (54) subjects. Only 12.04% (13) subjects tested their blood sugar and 6.48% (7) respondents checked their feet daily. There was no significant difference found between the SDSCA and psychological distress based on socio-demographic variables.

CONCLUSION

Participants in this study typically reported a good level of self-care behavior particularly for diet followed by exercise whereas the self-care behavior was not adequate for foot care and blood-glucose testing. People were not too anxious about COVID-19. This study highlighted the fact that people with diabetes should monitor their blood sugar levels more often along with their foot care.

Screening for depression in diabetes in an Indian primary care setting: Is depression related to perceived quality of life?

AIMS

To screen for depression in diabetes and evaluate the contributing factors in a primary care setting in India. To evaluate the relationship of depression with perceived quality of life.

METHODS

We used convenience sampling method in this cross-sectional study. 388 consecutive patients with type 2 diabetes mellitus were enrolled over a period of one year. 50.3% patients screened positive on Patient Health Questionnaire (PHQ-9) out of which 21.4% reported moderate to severe depression. Male gender, middle age and poor glycaemic control were associated with depression. In stepwise linear regression analysis when depression category was included as an independent variable, significant difference in regression equations were found. Other independent variables which were included in regression equation were age, education, gender, income lifestyle, glycosylated haemoglobin and Body Mass Index whereas dependent variables were transformed domains of World Health Organization Quality of Life questionnaire.

RESULTS

There is high prevalence of depression in primary care in type 2 diabetes patients in this Indian setting. Depression was strongly associated with all four domains of quality of life. Highest association with depression was seen in Physical domain (β -0.385, p = 0.000) followed by Social domain (β -0.372, p = 0.000).

CONCLUSIONS

High prevalence of depression and its association with poor quality of life indicates need for improved recognition of depression for improving diabetes outcomes in this centre.

Managing Depression in Diabetes Mellitus: A Multicentric Randomized Controlled Trial Comparing Effectiveness of Fluoxetine and Mindfulness in Primary Care: Protocol for DIAbetes Mellitus ANd Depression (DIAMAND) Study

BACKGROUND

Suboptimal management of depression in type 2 diabetes mellitus (T2DM) often translates into poor glycemic control, medical complications, and impaired quality of life. Feasibility and effectiveness of collaborative care models of depression in diabetes in low- and middle-income countries (LMICs) remain unexplored. DIAbetes Mellitus ANd Depression (DIAMAND) study, a multicentric single-blind randomized controlled trial (SBRCT) comparing effectiveness of fluoxetine and mindfulness in primary care settings, addresses this gap in scientific literature.

METHODS

This trial conducted in diverse geographic settings of New Delhi, Bengaluru, and Bhubaneswar will comprise module-based training of primary care providers (PCPs) for screening, diagnosing, and managing depression in diabetes in phase I. Phase II will involve four-arm parallel group RCT on 350 participants with T2DM with comorbid depressive episode randomly allocated to receive fluoxetine, mindfulness therapy, fluoxetine plus mindfulness therapy, or treatment as usual at primary care settings. Interventions would include fluoxetine (up to 60 mg/day) and/or sessions of mindfulness for 16 weeks. Primary outcomes on standardized rating scales include depression scores (Hamilton Depression Rating Scale), treatment adherence (Adherence to Refill and Medication Scale), self-care (Diabetes Self-Management Questionnaire), diabetes-related distress (Diabetes Distress Scale), and glycemic control. Secondary outcomes include quality of life (World Health Organization Quality of Life Brief version [WHO-QOL BREF]) and mindfulness (Five Facets Mindfulness Questionnaire).

DISCUSSION

This RCT will investigate the effectiveness of module-based training of PCPs and feasibility of collaborative care model for managing depression in T2DM in primary care settings in LMICs and effectiveness of fluoxetine and/or mindfulness in improving diverse outcomes of T2DM with major depression.

Detection and prevalence of depression among adult type 2 diabetes mellitus patients attending non-communicable diseases clinics in Lilongwe, Malawi

Background

Depression is associated with chronic physical illnesses and negatively affects health outcomes. However, it often goes undiagnosed and untreated. We investigated the prevalence of depression among adult type 2 diabetes mellitus (T2DM) patients attending non-communicable diseases (NCD) clinics in Lilongwe, Malawi, and estimated the level of routine detection by NCD clinicians. This study set out to determine the prevalence of major depression and its detection among adult type 2 diabetes mellitus (T2DM) patients attending NCD clinics in Lilongwe, Malawi.

Methods

In a cross-sectional study design, 323 T2DM patients aged ≥ 18 years were screened for depression with the Patient Health Questionnare-9 (PHQ-9) followed by diagnostic assessment with the Structured Clinical Interview for DSM-IV (SCID). We analysed the association between presence of major depression and sociodemographic factors using logistic regression.

Results

Three quarters of the participants (76%) were females. The participants’ ages ranged from 21–79 years. Of the 323 participants, 58 (18%) met criteria for DSM-IV major depression. None of the cases of major depression had been identified by the NCD clinicians. Major depression was found not to be significantly associated with any of the sociodemographic factors.

Conclusions

We found that depression is common among NCD clinic attendees with T2DM in Malawi, and poorly detected by NCD clinicians. Given the high prevalence and challenges in clinical identification, integration of depression screening with a standardized validated tool should be a high priority so as to link patients to appropriate services.

Depressive Symptoms are Associated with High Levels of Serum Low-Density Lipoprotein Cholesterol in Older Adults with Type 2 Diabetes Mellitus

Fundamento

O Diabetes Mellitus Tipo 2 (DMT2) é comum nos idosos, que também apresentam um nível elevado de fatores de risco para doenças cardiovasculares (DCVs), tais como dislipidemia. Entretanto, o papel da depressão nos pacientes com DMT2 e sua relação com fatores de risco para DCV são pouco estudados.

Objetivo

O objetivo do presente estudo foi investigar a relação entre sintomas depressivos (SDs) e fatores de risco cardiovascular conhecidos em idosos comunitários portadores de DMT2.

Métodos

Trata-se de um estudo transversal, no qual foram incluídos 85 idosos comunitários com DMT2. Os SDs foram avaliados através da Escala de Depressão Geriátrica de Yesavage, em versão reduzida (GDS-15). Os seguintes fatores de risco cardiovascular foram avaliados: pressão arterial sistólica (PAS) e diastólica (PAD), glicose plasmática em jejum (GPJ), perfil lipídico (triglicerídeos séricos (TG), colesterol total sérico (CT), colesterol sérico de lipoproteína de baixa densidade (LDL-C) e colesterol sérico de lipoproteína de baixa densidade (HDL-C)) e índice de massa corporal (IMC). A análise de regressão múltipla de Poisson foi utilizada para avaliar a associação entre os SDs e cada fator de risco cardiovascular ajustado por sexo, idade, tempo em atividades físicas moderadas e status funcional. O nível de significância adotado para a análise foi de 5%.

Resultados

Dentre todos os fatores de risco analisados, apenas o aumento de LDL-C apresentou uma correlação com níveis elevados de SD (RP=1,005; IC95% 1,002-1,008). Foi observada uma associação significativa entre os níveis de HDL-C (RP=0,99; IC95% 0,98-0,99) e a PAS (RP=1,009; IC95% 1,004-1,014).

Conclusão

Nos idosos com DMT2, a presença de SD foi associada a níveis de LDL-C, HDL-C e PAS, mesmo após o ajuste por sexo, idade, nível de atividade física e capacidade funcional. (Arq Bras Cardiol. 2020; 115(3):462-467)

Depression and Diabetes Distress in South Asian Adults Living in Low- and Middle-Income Countries: A Scoping Review

OBJECTIVES

In this study, we conducted a scoping review to identify the prevalence of both depression and diabetes distress in patients with type 2 diabetes in low- and middle-income countries in South Asia.

METHODS

This scoping review was grounded in the methodology of Arksey and O'Malley by searching for relevant studies using Ovid MEDLINE, PsycINFO and Cumulative Index of Nursing and Allied Health Literature databases, as well as grey literature sources and hand searches. Two reviewers independently screened and extracted data from articles that met the inclusion criteria.

RESULTS

A total of 46 studies were included, with only 1 addressing both depression and diabetes distress. We present 42 total articles on depression and 5 on diabetes distress. The prevalence of type 2 diabetes and elevated depressive symptoms ranged from 11.6% to 67.5%, whereas the prevalence of diabetes distress ranged from 18.0% to 76.2%.

CONCLUSIONS

The prevalence of elevated depressive symptoms was found to be much higher than that reported in data from high-income countries and in data on South Asians living in high-income countries. Diabetes distress was found to be lower compared with other studies; however, the scarcity of data makes this observation inconclusive. Variations in depression inventories, lack of culturally tailored inventories and the focus on urban clinic-based populations are identified as limitations and areas requiring further research. Our review provides evidence for the need of increased mental health screening and treatment in diabetes care in South Asian countries.

Increased serum interleukin-9 and interleukin-1β are associated with depression in type 2 diabetes patients

BACKGROUND

Co-morbid diabetes and depression are prevalent chronic conditions negatively affecting quality of life (QoL). Inflammation has been considered as an integral mechanism in patients with both diabetes and depression.

OBJECTIVE

The aim of the present study was to investigate depression and its association with interleukins (IL)-1β and IL-9 in type 2 diabetic patients (T2DM) and controls. The QoL in diabetic patient was also assessed.

METHODS

Eighty subjects were included, distributed among three groups: Group 1 - Healthy controls; Group 2 - T2DM patients without depression; Group 3 - T2DM patients with depression. Depression and QoL were assessed using Patient Health Questionnaire (PHQ-9) and The Audit of Diabetes-Dependent QoL (ADDQoL), respectively. IL-1β and IL-9 were measured in serum samples of all the patients using ELISA kit.

RESULTS

The PHQ score in the Group 3 was significantly higher as compared to Group 1. The ADDQoL scores in the Group 3 were significantly higher as compared to Group 2. Levels of IL-9 and IL-1β were elevated in Group 3, as compared to the other groups.

CONCLUSION

This study showed positive association between depression and IL-1β, IL-9 in T2DM patients. Additionally, the diabetic patients have poorer quality of life, which is further worsened by the presence of depression. Thus, routine assessment for the presence of depression is suggested in T2DM patients.

The development and tailoring of a peer support program for patients with diabetes mellitus and depression in a primary health care setting in Central Uganda

BACKGROUND

About 20-40% of patients with diabetes mellitus (DM) suffer from depressive disorders (DD) during the course of their illness. Despite the high burden of DD among patients with DM, it is rarely identified and adequately treated at the majority of primary health care clinics in sub-Saharan Africa (SSA). The use of peer support to deliver components of mental health care have been suggested in resource constrained SSA, even though its acceptability have not been fully examined.

METHODS

We conducted qualitative interviews (QI) to assess the perceptions of DM patients with an experience of suffering from a DD about the acceptability of delivering peer support to patients with comorbid DM and DD. We then trained them to deliver peer support to DM patients who were newly diagnosed with DD. We identified challenges and potential barriers to a successful implementation of peer support, and generated solutions to these barriers.

RESULTS

Participants reported that for one to be a peer, they need to be mature in age, consistently attend the clinics/keep appointments, and not to be suffering from any active physical or co-morbid mental or substance abuse disorder. Participants anticipated that the major barrier to the delivery of peer support would be high attrition rates as a result of the difficulty by DM patients in accessing the health care facility due to financial constraints. A potential solution to this barrier was having peer support sessions coinciding with the return date to hospital. Peers reported that the content of the intervention should mainly be about the fact that DM was a chronic medical condition for which there was need to adhere to lifelong treatment. There was consensus that peer support would be acceptable to the patients.

CONCLUSION

Our study indicates that a peer support program is an acceptable means of delivering adjunct care to support treatment adherence and management, especially in settings where there are severe staff shortages and psycho-education may not be routinely delivered.

Depression, anxiety, and associated factors in patients with diabetes: evidence from the anxiety, depression, and personality traits in diabetes mellitus (ADAPT-DM) study

BACKGROUND

Depression and anxiety are common psychiatric complications affecting patients with diabetes mellitus. However, data on the prevalence of depression, anxiety, and associated factors among Malaysian diabetic patients is scarce. The Anxiety, Depression, and Personality Traits in Diabetes Mellitus (ADAPT-DM) study aimed to determine the prevalence of depression and anxiety, and their associated factors in the Malaysian diabetic population.

METHODS

This cross-sectional study recruited 300 diabetic patients via convenience sampling from the Endocrine outpatient clinic of Universiti Kebangsaan Malaysia Medical Centre, a tertiary referral healthcare facility in Kuala Lumpur. Socio-demographic characteristics and clinical history were obtained from each participant. The Generalised Anxiety Disorder-7 (GAD-7) was administered to assess anxiety symptoms, the Beck Depression Inventory (BDI) to assess depressive symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) to measure quality of life (QOL). Stepwise multiple logistic regression analyses were performed to determine the association between various factors, and depression and anxiety.

RESULTS

The prevalence of depression was 20% (n = 60) while anxiety was 9% (n = 27). Co-morbid depression (adjusted odds ratio [OR] = 9.89, 95% confidence interval [CI] = 2.63-37.14, p = 0.001) and neuroticism (adjusted OR = 11.66, 95% CI = 2.69-50.47, p = 0.001) increased the odds of developing anxiety, while conscientiousness (adjusted OR = 0.45, 95% CI = 0.23-0.80, p = 0.004) and greater psychological-related QOL (adjusted OR = 0.47, 95% CI = 0.29-0.75, p = 0.002) were protective. Co-morbid anxiety (adjusted OR = 19.83, 95% CI = 5.63-69.92, p <  0.001) increased the odds of depression, while older age (adjusted OR = 0.96, 95% CI = 0.93-0.98, p = 0.002), social relationship-related QOL (adjusted OR = 0.84, 95% CI = 0.71-.0.99, p = 0.047), and physical health-related QOL (adjusted OR = 0.69, 95% CI = 0.58-0.83, p <  0.001) were protective.

CONCLUSIONS

The study findings signify the need to screen for co-morbid depression and anxiety, as well as personality traits and QOL, and to include psychosocial interventions when planning a multidisciplinary approach to managing diabetes.

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

OBJECTIVE

Diabetes mellitus is one of the most common noncommunicable diseases in Malaysia. It is associated with significant complications and a high cost of treatment, especially when glycaemic control is poor. Despite its negative impact on health, data is still lacking on the possible biopsychosocial predictors of poor glycaemic control among the diabetic population. This study is aimed at determining the prevalence of poor glycaemic control as well as its association with biopsychosocial factors such as personality traits, psychiatric factors, and quality of life (QOL) among Malaysian patients with diabetes.

METHODS

A cross-sectional study was conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using outpatient population diabetic patients. Demographic data on social and clinical characteristics were collected from participants. Several questionnaires were administered, including the Beck Depression Inventory-II (BDI-II) to measure depressive symptoms, the Generalized Anxiety Disorder-7 (GAD-7) to assess anxiety symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the WHO Quality of Life-BREF (WHOQOL-BREF) to assess QOL. Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control.

RESULTS

300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA_1C ≥ 7.0%) was 69%, with a median HbA_1C of 7.6% (IQR = 2.7). Longer duration of diabetes mellitus and a greater number of days of missed medications predicted poor glycaemic control, while older age and overall self-perception of QOL protected against poor glycaemic control. No psychological factors were associated with poor glycaemic control.

CONCLUSION

This study emphasizes the importance of considering the various factors that contribute to poor glycaemic control, such as duration of diabetes, medication adherence, age, and QOL. These findings should be used by clinicians, particularly when planning a multidisciplinary approach to the management of diabetes.

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

BACKGROUND

Depression is one of the most pressing public health problems and also highly prevalent comorbid condition among diabetes mellitus (DM) patients. Depression may impact lifestyle decisions and ability to poorly perform tasks which are risk factors for DM. For reducing the impact of depression among DM patients in developing countries, it is crucial to identify and assess associated risk factors of depression among DM patients, thereby designing effective management techniques. In line with this, the current study applies the Bayesian framework, which pools prior information and current data, to find factors associated with depression among DM patients.

METHODS

A hospital-based cross-sectional study was conducted at Adama Hospital and Medical College (AHMC) from March to April 2019. Data was entered into the Epi-data 3.1 then exported to the R software 3.4.4. Bayesian logistic regression models were fitted to the data using the Markov chain Monte Carlo (MCMC) algorithm. Estimates of model parameters including adjusted odds ratio (AOR) with 95% credible intervals (CI) were calculated.

RESULTS

A total of 359 adults with DM were included in the analysis. The prevalence of depression among diabetic patients was 9.22% (95% CI: 6.4% to 12.7%). Higher fasting blood sugar level (AOR = -1.012; HPD CI: (1.0020, 1.025)), having diabetic complication (AOR = 0.1876; HPD CI: (0.0214, 0.671)), history of hospital admission (AOR = 0.2865; HPD CI: (0.0711, 0.7318)), low medication adherence (AOR = 29.29; HPD CI: (3.383, 92.26)), and taking both insulin and oral antidiabetic medication (AOR = 24.46; HPD CI: (15.20, 49.37) were significantly and strongly associated with depression among DM patients.

CONCLUSIONS

Prevalence of depression among diabetes patients in the catchment area of Adama Hospital, Ethiopia, was found to be very low. Higher fasting blood sugar level, diabetic complication, history of hospital admission, low medication adherence, and taking both insulin and oral antidiabetic medication were found to be strong predictors of prevalence of depression among DM patients. Based on the findings, we recommend that integrating screening and treating of depression, early detection and management of diabetic complication, and giving counseling to improve medication adherence is an effective approach for lowering the impact of depression on DM patients.

Mental morbidity and its associations with socio-behavioural factors and chronic conditions in rural middle- and older-aged adults in South Africa

This study investigated mental morbidity and its association with socio-behavioural health and chronic health conditions among rural middle-older persons in South African (N = 5 059 adults; females = 53.6%; mean age = 62.4 years, SD = 13.1 years). We analysed baseline data from the Health and Aging in Africa Longitudinal Study (HAALSI), which included questions on socio-demographic, clinical, health, depression, and posttraumatic stress disorder (PTSD). Seventeen percent of the participants screened positive for depression and 4.8% for PTSD. The percentage of depression and/or PTSD was significantly higher in individuals with anaemia, angina, cataract, diabetes, dyslipidaemia, chronic bronchitis, heart failure, stroke, kidney disease, and tuberculosis. In multivariable logistic regression, being female, older age, being underweight, and having multi-morbidity portended higher risk for depression. Multi-morbidity and being physically inactive but not obese increased the odds for PTSD. Multi-layered interventions are needed to investigate the mental health burden of this aging rural population.

Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China longitudinal ageing social survey

BACKGROUND

The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China.

METHODS

Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model.

RESULTS

We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms.

CONCLUSIONS

Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults

BACKGROUND

Diabetes, hypertension, and obesity tend to be positively associated with socio-economic status in low- and middle-income countries (LMICs). It has been hypothesized that these positive socio-economic gradients will reverse as LMICs continue to undergo economic development. We use population-based cross-sectional data in India to examine how a district's economic development is associated with socio-economic differences in cardiovascular disease (CVD) risk factor prevalence between individuals.

METHODS

We separately analyzed two nationally representative household survey datasets - the NFHS-4 and the DLHS-4/AHS - that are representative at the district level in India. Diabetes was defined based on a capillary blood glucose measurement, hypertension on blood pressure measurements, obesity on measurements of height and weight, and current smoking on self-report. Five different measures of a district's economic development were used. We analyzed the data using district-level regressions (plotting the coefficient comparing high to low socio-economic status against district-level economic development) and multilevel modeling.

RESULTS

757,655 and 1,618,844 adults participated in the NFHS-4 and DLHS-4/AHS, respectively. Higher education and household wealth were associated with a higher probability of having diabetes, hypertension, and obesity, and a lower probability of being a current smoker. For diabetes, hypertension, and obesity, we found that a higher economic development of a district was associated with a less positive (or even negative) association between the CVD risk factor and education. For smoking, the association with education tended to become less negative as districts had a higher level of economic development. In general, these associations did not show clear trends when household wealth quintile was used as the measure of socio-economic status instead of education.

CONCLUSIONS

While this study provides some evidence for the "reversal hypothesis", large-scale longitudinal studies are needed to determine whether LMICs should expect a likely reversal of current positive socioeconomic gradients in diabetes, hypertension, and obesity as their countries continue to develop economically.

Pharmacotherapeutic strategies for managing comorbid depression and diabetes

Introduction: The increasing prevalence of comorbid depression and diabetes exerts a heavy burden on global health. Co-occurrence of depression and diabetes is common, affecting 14% to 35.8% of patients with diabetes, leading to a higher mortality and morbidity rate, more micro- and macro-vascular diseases and more cognitive decline. Areas covered: In this paper, the authors address various areas from epidemiology, the association between depression and diabetes, treatment strategies and future directions based on the currently available literature to provide novel insight into the pharmacotherapeutic management of comorbid depression and diabetes. Expert opinion: Pharmacotherapy can help patients with comorbid depression and diabetes by relieving depressive symptoms and improving glycemic control. When combined with psychological therapy, as a collaborative care effort, pharmacological therapy based on selective serotonin reuptake inhibitors (SSRIs) is recommended for comorbid depression with diabetes. Furthermore, studies with larger sample sizes that can help to define different subtypes of diabetes and severity of depression are needed so that clinicians can draw up a precise and applicable management guidelines for the personalized therapy of these diseases.

Association between socioeconomic status and prevalence of non-communicable diseases risk factors and comorbidities in Bangladesh: findings from a nationwide cross-sectional survey

OBJECTIVES

This study aimed to examine the prevalence and distribution in the comorbidity of non-communicable diseases (NCDs) among the adult population in Bangladesh by measures of socioeconomic status (SES).

DESIGN

This was a cross-sectional study.

SETTING

This study used Bangladesh Demographic and Health Survey 2011 data.

PARTICIPANTS

Total 8763 individuals aged ≥35 years were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measures were diabetes mellitus (DM), hypertension (HTN) and overweight/obesity. The study further assesses factors (in particular SES) associated with these comorbidities (DM, HTN and overweight/obesity).

RESULTS

Of 8763 adults, 12% had DM, 27% HTN and 22% were overweight/obese (body mass index ≥23 kg/m2). Just over 1% of the sample had all three conditions, 3% had both DM and HTN, 3% DM and overweight/obesity and 7% HTN and overweight/obesity. DM, HTN and overweight/obesity were more prevalent those who had higher education, were non-manual workers, were in the richer to richest SES and lived in urban settings. Individuals in higher SES groups were also more likely to suffer from comorbidities. In the multivariable analysis, it was found that individual belonging to the richest wealth quintile had the highest odds of having HTN (adjusted OR (AOR) 1.49, 95% CI 1.29 to 1.72), DM (AOR 1.63, 95% CI 1.25 to 2.14) and overweight/obesity (AOR 4.3, 95% CI 3.32 to 5.57).

CONCLUSIONS

In contrast to more affluent countries, individuals with NCDs risk factors and comorbidities are more common in higher SES individuals. Public health approaches must consider this social patterning in tackling NCDs in the country.

The validity of the patient health Questionnaire-9 to screen for depression in patients with type-2 diabetes mellitus in non-communicable diseases clinics in Malawi

BACKGROUND

Depression is a global problem, affecting populations worldwide, but is too often under-diagnosed. The identification of depression among patients with diabetes is important because depression is prevalent in this group and can complicate diabetes management.

OBJECTIVES

The aim of the study was to determine the sensitivity and specificity of the PHQ-9 in the detection of depression among patients with type-2 diabetes mellitus attending non-communicable diseases (NCD) clinics in Malawi.

METHODS

We conducted a validation study of the Patient Health Questionnaire (PHQ-9) among 323 patients with type-2 diabetes mellitus who attended two NCD clinics in one of the 28 districts of Malawi. The participants were screened consecutively using the nine-item PHQ-9 in Chichewa by a research assistant and completed a diagnostic interview using the Structured Clinical Interview for DSM-IV (SCID) for depression with a mental health clinician. We evaluated both content validity based on expert judgement and criterion validity of the Patient Health Questionnaire (PHQ-9) based on performance against the SCID. The PHQ-9 cutpoint that maximized sensitivity plus specificity was selected to report test characteristics.

RESULTS

Using the SCID for depression, the prevalence of minor or major depression was 41% (133/323). The internal consistency estimate for the PHQ-9 was 0.83, with an area under the receiver operator curve (AUC) of 0.93 (95% CI, [0.91-0.96]). Using the optimal cut-point of ≥9, the PHQ-9 had a sensitivity of 64% and a specificity of 94% in detecting both minor and major depression, with likelihood ratio-positive = 10.1 and likelihood ratio negative =0.4 as well as overall correct classification (OCC) rate of 81%.

CONCLUSIONS

This is the first validation study of the PHQ-9 in NCD clinics in Malawi. Depression was highly prevalent in this sample. The PHQ-9 demonstrated reasonable accuracy in identifying cases of depression and is a useful screening tool in this setting. Health care workers in NCD clinics can use the PHQ-9 to identify depression among their patients with those having a positive screen followed up by additional diagnostic assessment to confirm diagnosis.

TRIAL REGISTRATION

PACTR201807135104799 . Retrospectively registered on 12 July 2018.

Integrated care for people with long-term mental and physical health conditions in low-income and middle-income countries

Integrated care is defined as health services that are managed and delivered such that people receive a continuum of health promotion, disease prevention, diagnosis, treatment, disease management, rehabilitation, and palliative care services, coordinated across the different levels and sites of care within and beyond the health sector and, according to their needs, throughout the life course. In this Review, we describe the most relevant concepts and models of integrated care for people with chronic (or recurring) mental illness and comorbid physical health conditions, provide a conceptual overview and a narrative review of the strength of the evidence base for these models in high-income countries and in low-income and middle-income countries, and identify opportunities to test the feasibility and effects of such integrated care models. We discuss the rationale for integrating care for people with mental disorders into chronic care; the models of integrated care; the evidence of the effects of integrating care in high-income countries and in low-income and middle-income countries; the key organisational challenges to implementing integrated chronic care in low-income and middle-income countries; and the practical steps to realising a vision of integrated care in the future.

The role of concordant and discordant comorbidities on performance of self-care behaviors in adults with type 2 diabetes: a systematic review

Background: Most patients with Type 2 diabetes (T2D) have high number of comorbid chronic conditions that can affect their self-care abilities. Guidelines for diabetes self-care behaviors are disease specific with little attention given to managing T2D with other comorbidities. Identifying comorbidities that either improve or potentially diminish the individual's capacity to perform effective self-care behaviors is essential to enhance clinical outcomes. One such framework conceptualizes comorbidities as concordant or discordant with diabetes pathophysiological pathways and care goals. Objective: The purpose of this systematic review was to examine the role of diabetes-concordant and discordant chronic conditions on the performance of self-care behaviors in adults with T2D. Methods: A comprehensive literature search was undertaken to identify published English language articles through the following five electronic databases: PubMed, CINAHL, PsycINFO, ISI Web of Science, and EMBASE. Quantitative studies published from March 2006 to April 2018 were included. Quality of evidence was evaluated using the Joanna Briggs Institutes Critical Appraisal Tools (JBI-CAT) and rated using Quality Assessment Tool for Quantitative Studies (QATQS). Results: The initial database search identified 1,136 articles but only 33 studies that met the inclusion criteria were included. The most common concordant comorbidity was hypertension while depression was the most common discordant condition. Adherence to medications was the most frequent diabetes self-care behavior reported and tended to be higher among concordant comorbidities. The findings showed mixed results concerning the effect of some concordant comorbidities such as hypertension, hyperlipidemia, retinopathy, and heart failure on diabetes self-care behaviors. But, there is agreement across studies that diabetes-discordant comorbidities have a more detrimental effect on self-care behaviors. Conclusions: Concordant comorbidities may improve diabetes self-care, but the evidence is inconclusive. Future research using well designed studies are needed to examine the complex relationship between diabetes self-care and comorbidities.

'What kind of life is this?' Diabetes related notions of wellbeing among adults in eastern Uganda and implications for mitigating future chronic disease risk

Background

Effective prevention and care for type 2 diabetes requires that people link healthy behaviours to chronic disease-related wellbeing. This study explored how people perceive current and future wellbeing, so as to inform lifestyle education.

Methods

Eight focus group discussions and 12 in-depth interviews were conducted in Iganga and Mayuge districts in rural Eastern Uganda among people aged 35–60 years in three risk categories (1) People with diabetes, (2) people at higher risk of diabetes (with hypertension or overweight) and (3) community members without diabetes.

Results

People define wellbeing in three notions: 1) Physical health, 2) Socio-economic status and 3) Aspirational fulfilment. Most people hold the narrower view of wellbeing that focuses on absence of pain. Most overweight participants did not feel their condition as affecting their wellbeing. However, for several people with hypertension, the pains they describe indicate probable serious heart disease. Some people with diabetes expressed deep worry and loss of hope, saying that ‘thoughts are more bothersome than the illness’. Wellbeing among people with diabetes was described in two perspectives: Those who view diabetes as a ‘static’ condition think that they cannot attain wellbeing while those who view it as a ‘dynamic’ condition think that with consistent treatment and healthy lifestyles, they can be well. While many participants perceive future wellbeing as important, people without diabetes are less concerned about it than those with diabetes. Inadequate knowledge about diabetes, drug stock-outs in health facilities, unaffordable healthier food, and contradictory information were cited as barriers to future wellbeing in people with diabetes.

Conclusions

To make type 2 diabetes prevention relevant to healthy people, health education messages should link current lifestyles to future wellbeing. Diabetes patients need counselling support, akin to that in HIV care, to address deep worry and loss of hope.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6249-0) contains supplementary material, which is available to authorized users.

Association between diabetes mellitus and depressive symptoms in the Brazilian population

OBJECTIVE

To determine the prevalence of current depressive symptoms in people with diabetes mellitus and their association with the disease.

METHODS

Data were collected from the Brazilian National Health Survey (Pesquisa Nacional de Saúde - PNS), a cross-sectional, population-based study conducted in 2013. Study participants were selected by simple random cluster sampling in three stages: census tracts, households, and residents aged ≥ 18 years. The presence of diabetes was self-reported, whereas the presence of current depressive symptoms was determined by the Patient Health Questionnaire-9 (PHQ-9) and mean scores of this questionnaire were calculated for the variables assessed. Tobit regression was used to evaluate variation in these individuals.

RESULTS

Of the 60,202 interviewees, 6.03% (n = 3,636) reported diabetes mellitus. The disease was more frequent in female, older, widowed, obese and with incomplete elementary education. Depression symptoms were mild-to-moderately severe in 22% of the diabetics. The severity of current depressive symptoms was higher in individuals that were female (PHQ-9 mean = 3.35), older adults (PHQ-9 mean = 3.01), indigenous (PHQ-9 mean = 3.46), separated/divorced (PHQ-9 mean = 3.13), widowed (PHQ-9 mean = 3.39), obese (PHQ-9 mean = 3.13) and with incomplete primary education (PHQ-9 mean = 3.21). Higher severity of depressive symptoms was associated with the use of insulin and with coma (PHQ-9 mean = 8.32), limb amputation (PHQ-9 mean = 7.55), circulatory problems (PHQ-9 mean = 6.94), infarction (PHQ-9 mean = 6.83), diabetic foot (PHQ-9 mean = 6.62), and kidney problems (PHQ-9 mean = 6.68). The severity of current depressive symptoms was associated with diabetes severity and degree of limitation in activities of daily living (PHQ-9 mean = 10.62).

CONCLUSIONS

Interventions to improve depressive symptoms should be prioritized in people with diabetes are female, older adults, indigenous, widowed, separated/divorced, obese and with incomplete elementary education.

The effect of depression management on diabetes and hypertension outcomes in low- and middle-income countries: a systematic review protocol

BACKGROUND

Depression and non-communicable diseases (NCDs) account for a growing burden on health systems in low- and middle-income countries (LMICs). Depression is generally associated with the outcomes of NCDs and is an important barrier to consistent NCD care management. There is great need to understand the efficacy of interventions to treat depression for people with NCDs, but there is a paucity of evidence of the efficacy of the interventions in LMICs. Therefore, the broad objective of this review is to systematically review the literature on the effectiveness of depression management among patients with diabetes and hypertension to improve outcomes.

METHODS

This is a systematic review to assess the evidence of the effect of depression management in diabetic and hypertensive patients on diabetes and hypertension outcomes in LMICs. Two independent reviewers will search articles on PubMed, EMBASE, PsycINFO, and Global Index Medicus. Two reviewers will then screen the articles independently based on predefined criteria. We will use standard methods as recommended by the Cochrane Collaboration of assessing quality of evidence and publish our report using the PRISMA guidelines.

DISCUSSION

The findings from this review will provide evidence to be used in guiding practice and policy on how to integrate depression management in diabetes and hypertension clinics.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42017068257.

Depression and chronic diseases: Co-occurrence and communality of risk factors

BACKGROUND

The aim of current study is to assess the cross-sectional association of chronic non-communicable diseases (diabetes mellitus, arthritis, asthma, chronic lung disease, angina, and stroke) with both diagnosed and undiagnosed depression in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1, a study of adults in six low- and middle-income countries.

METHODS

A total of 41,810 participants, aged ≥ 18 years, were included. Depression status was assessed by standard methods derived from the World Mental Health Survey (WHH-CIDI). Undiagnosed depression was defined as a depressed person who did not report history of diagnosis/treatment for depression. Associations between depression/undiagnosed depression and chronic diseases, adjusting for country of residence, demographics and chronic diseases risk factors were assessed.

RESULTS

Depression was detected in 2508 (6.0%) cases, from whom 2098 (87%) were undiagnosed. Diabetes (Odds ratio:1.47[95%CI:1.24,1.75]), arthritis (2.14[1.82,2.52]), asthma (3.36[2.73,4.14]), chronic lung disease (3.74[3.10,4.51]), angina (3.20[2.66,3.85]), and stroke (3.14[2.55,3.86]) were associated with depression (p-values < 0.001). Being older, female, underweight, and having lower education, and lower income were positively associated with depression. The estimated odds ratios were similar for undiagnosed depression.

LIMITATIONS

Cross-sectional design of study prevent us to determine whether depression followed exposures in time. About 12% of the participant did not have data for depression status and were excluded from the study.

CONCLUSIONS

Most depression cases were undiagnosed. Depression/undiagnosed depression were strongly associated with chronic diseases; stronger than what has been reported in developed countries.

Prevalence of depression among type 2 diabetes mellitus patients in India: A meta-analysis

Depression as a co-morbid condition in type 2 diabetes mellitus (T2DM) patients is associated with significant morbidity, mortality, and rising health economic burden. Indian healthcare system is heavily burdened with T2DM, and it is important to understand the prevalence of depression associated with T2DM. This meta-analysis conducted as per the registered protocol (PROSPERO registration: CRD42016051552), searched for published studies in the databases including MEDLINE and Embase till 31st August 2018. The modified Newcastle-Ottawa Scale was used to assess the methodological quality. The pooled prevalence of depression among T2DM patients was estimated as primary outcomes, while prevalence based on demographic sub-group was estimated as the secondary outcome. In total, 43 studies including 10,270 patients fulfilled the eligibility criteria and were included in the analysis. The pooled prevalence of depression in T2DM patients was found to be 38% (95% CI: 31%-45%). Presence of depression in people with type 2 diabetes was more often associated with the presence of complications with an odds ratio of 2.33, 95% CI: 1.62-3.36, p < 0.00001. Overall, the study found a high prevalence of depression among T2DM patients in India. Diabetes management programs in India may consider early screening of depression in T2DM patients.

Parallels between research in mental health in Brazil and in the field of Global Mental Health: an integrative literature review

Global Mental Health is a field of teaching, research, and practice whose goal is to improve access to mental health and reduce inequalities in mental health outcomes for all people worldwide, especially proposing action in low- and middle-income countries like Brazil. Given this global scenario and Brazil's progress in health and psychiatric reforms, it is important to investigate the current status of the Brazilian mental health literature and its relationship to Global Mental Health, describing how Brazilian research deals with key topics in the Global Mental Health field. The authors performed an integrative literature review using a qualitative and descriptive approach. The article search was performed for the years 2014 and 2015 in Portuguese and English, using the terms "mental health" and "Brazil", combined with key words corresponding to the principal themes addressed by authors in Global Mental Health. The search yielded 88 articles, which were analyzed according to authorship, periodicals and regions, and the analytical categories of access, primary care, community mental health services, social determinants of health, human rights, and equity. Brazil's mental health research revealed a rich and diverse body of studies, showing parallels with the literature on global mental health, but with limited systematization. Although the review revealed efforts to generate knowledge in this field within Brazil, some barriers may be limiting Brazil's participation in the international debate on Global Mental Health.