Prevalence of Depression in Patients with Type II Diabetes Mellitus and its Impact on Quality of Life

Uncovering the hidden burden: A mixed methods study on the implementation of depression screening among persons with type 2 diabetes mellitus seeking health care in an urban primary health center of South India

BACKGROUND

Diabetes is linked with depression, but screening rates for depression are low, indicating a need for periodic assessments among those with diabetes. The study aimed to determine depression prevalence and associated factors in persons with type 2 diabetes mellitus (T2DM) in an urban primary care setting of Karnataka, as well as implementation challenges in depression screening for persons with T2DM as perceived by healthcare providers.

MATERIAL AND METHODS

A mixed-methods study was performed for 6 months in 2022-2023 at an Urban Primary Health Centre (UPHC) in Bengaluru. The sample size was calculated to be 110, and convenience sampling was applied to select persons with T2DM. The participants were screened for depression using Patient Health Questionnaire-9. Key informant interviews were performed among various health care providers of the UPHC. Data were captured using EpiCollect Version 5.0. Univariate logistic regression was performed to find the factors associated with depression.

RESULT

Of the 110 participants, 60 (54.5%) screened positive for depression. Men had 0.474 (95% Confidence Intervals-CI: 0.126, 1.782) lesser odds of depression when compared with women (P = 0.269). Those with comorbidities had 1.975 more odds (95% CI: 0.538, 7.252) when compared with absence of comorbidities (P = 0.305). Statistically significant associations were not found with any of the factors. Key facilitators for screening were willingness to implement screening, empathetic attitude, and awareness of mental health, whereas the challenges included lack of training in mental health assessment and patient reluctance to adhere to treatment due to stigma.

CONCLUSION

The study found that 54.5% of persons with T2DM seeking heath care at the UPHC screened positive for depression. Several challenges in implementing depression screening for T2DM in primary care settings were noted.

Comorbidity of depression and type 2 diabetes in Egypt results from the International Prevalence and Treatment of Diabetes and Depression (INTERPRET-DD) study

BACKGROUND

Diabetes mellitus and depression are serious common diseases, and the number of people with both conditions is rising steadily. Depression in people with diabetes mellitus results in poorer prognosis through different mechanisms. On the other hand, the presence of diabetes in individuals with depression increases functional impairment that is associated with depression.

AIMS

The study aimed to assess the prevalence and factors associated with depression among adults with type 2 diabetes mellitus attending a diabetes clinic in Cairo, Egypt.

METHODS

A cross-sectional study was conducted among adult patients with diabetes type 2 attending a diabetes clinic in the endocrinology department in Ain Shams University Teaching Hospital, Cairo, Egypt. Data were collected through face-to-face interviews by trained psychiatrists and from patients' records.

RESULTS

The prevalence of depression among diabetic patients was 21.8% (95% CI [15.6%, 29.1%]). Depression was more common among younger age groups and those with a higher level of education. There was no significant difference between those with lifetime depression compared to those without depression regarding physical health complications.

CONCLUSIONS

The prevalence of depression among patients with type 2 diabetes is high. Given the impact of co-morbid diabetes and depression, diabetic patients should be routinely screened for the latter condition.

Prevalence of depression among clients with diabetes and hypertension in selected hospital at Mangaluru, India

BACKGROUND

Non-communicable diseases are lifestyle diseases that are increasing throughout the world. They are responsible for 71% of death worldwide, among which 16 million people die prematurely or before reaching the age of 70 years. Among the non-communicable diseases, diabetes and hypertension are the most common. The study aimed to find the prevalence of depression among diabetes and hypertensive clients.

MATERIALS AND METHODS

A descriptive cross-sectional study was conducted among 370 subjects diagnosed with diabetes mellitus, hypertension, and both in Justice K.S Hegde Charitable Hospital at Mangaluru. A purposive sampling technique was adopted to select the subjects. Patient health questionnaire-9 (PHQ-9) was used to find the depressive symptoms among the client. The statistical analysis was conducted using SPSS version 20 (Armonk, NY: IBM Corp.); descriptive (frequency and percentage) and inferential (one-way analysis of variance (ANOVA)) statistics were used to interpret the data.

RESULTS

Out of 370 subjects, 41% had no depression, and most 59% had mild to severe levels of depression. Among clients diagnosed with diabetes mellitus (n = 139), the majority (63%) had mild to severe depression. Similarly, of subjects diagnosed with hypertension, 51% had no depression, and 49% had mild to severe depression. In addition, among subjects diagnosed with both diabetes mellitus and hypertension (n = 99), 67% had mild to severe depression.

CONCLUSIONS

The study shows that many diabetes and hypertensive patients attending the outpatient departments of the hospital experience depression. So, it is crucial to identify the depressive symptoms early and take appropriate measures to prevent complications.

Health-related quality of life, medical resource use and physical function in patients with diabetes mellitus and depression: A cross-sectional analysis from the National Health and Nutrition Examination Survey

BACKGROUND

Patients with either diabetes (DM) or depression (DP) are prone to developing other diseases and require more medical resources than do the general population. This study aimed to examine health-related quality of life, medical resource use, and physical function of patients with both diabetes mellitus and depression, and the magnitude of effects among patients with different combinations of comorbid diseases.

METHODS

A retrospective cross-sectional study was conducted using the National Health and Nutrition Examination Survey data from 2009 to 2014. Total 16,159 patients were studied and classified into one of 4 groups: both DM and DP(DM+/DP+), DM+/without DP(DP-), without DM (DM-)/DP+, and DM-/DP-, according to the perceived score in Patient Health Questionnaire and diabetes questionnaire in NHANES. Health-related quality of life (HRQoL), medical resource use, and physical function were measured as outcomes of interests. Multivariate logistic regression models were used.

RESULTS

Compared with DM-/DP- patients, the DM+/DP+ (adjusted odds ratio [AOR]: 2.59; 95 % CI: 1.77-3.80) and DM-/DP+ (AOR: 2.44; 95 % CI: 1.94-3.06) had greater likely to have worse health. In addition, the DM+/DP+ (AOR: 5.40; 95 % CI: 1.30-22.41) and DM+/DP- (AOR: 2.49; 95 % CI: 1.91-3.25) were more likely to have medical visits, and worse physical function.

CONCLUSIONS

This study found that both depression and diabetes mellitus worsen HRQoL, increase medical resource use, and decrease physical function. Depression status should be considered by clinicians treating diabetes mellitus patients in order to improve their HRQoL, reduce medical resource use, and improve physical function.

Self-Management Model fails to Predict Quality of Life for People Living with Dual Diagnosis of HIV and Diabetes

The objective of this study was to test a self-management model for self-management in people living with HIV and type 2 diabetes (PLWH + T2DM). We conducted a predictive, longitudinal study of data from a national research cohort of PLWH using lag analysis to test short- and long-term health outcomes for PLWH + T2DM. We used a dataset from the Center for AIDS Research (CFAR) Network of Integrated Clinic Systems (CNICS), a nation-wide research network of 8 clinics that serves PLWH. Patient-reported outcomes, collected at clinic visit, included depression, adherence, CD4 cell count, and health-related quality of life (HRQoL). We computed summary statistics to describe the sample. Using lag analysis, we then modeled the three variables of adherence, CD4 count, and HRQoL as a function of their predecessors in our conceptual model. In the final model, an increase of in medication adherence corresponded to a small increase in HRQoL. An increase in CD4 count corresponded to a small increase in HRQoL. An increase in lagged depression was associated with a small decrease in HRQoL. The model was not sufficient to predict short- or long-term outcomes in PLWH + T2DM. Although depression had a moderate impact, the final model was not clinically significant. For people with a dual diagnosis of HIV and T2DM, variables other than those traditionally addressed in self-management interventions may be more important.

Quality of Life and Diabetes in India: A Scoping Review

In recent years, numerous studies have explored the quality of life (QoL) in those with diabetes mellitus. The aim of this scoping review was to explore the current state of knowledge on QoL and its various associated factors among people with diabetes in India. Three databases were searched (PubMed, Scopus, and Medline) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. A total of 41 articles were included in the review. The included studies were largely conducted in the Southern states and mainly investigated individuals with type 2 diabetes. The World Health Organization Quality of Life (WHOQOL-BREF) and Short Form Health Survey (SF-36) were the instruments used most often. In general, the studies showed that people with diabetes had poorer QoL than those without diabetes, and women with diabetes reported poorer QoL than men, consistent with findings across the world. However, the studies had significant methodological flaws which limit the validity and generalizability of the findings. Therefore, there is an urgent need to conduct high-quality QoL studies which are representative of all states of India as well as different types of diabetes in India in order to address this gap in the evidence.

Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India

BACKGROUND

Diabetes mellitus (DM) causes serious deterioration in general quality of life (QoL) mainly affecting the health-related quality of life (HRQOL). Routine assessment of QoL improves communication with the patient, helps to predict treatment response, and supports clinical decision-making. QoL can predict an individual's capacity to manage the disease and maintain long-term health and wellbeing.

AIMS

To find out the QoL and its socio-demographic, anthropometric, and clinical determinants among DM patients attending health institutions from sub-Himalayan region, catering rural population.

SETTINGS AND DESIGN

This cross-sectional study was conducted in two hospitals mostly catering rural population from 2014 to 2018. Purposive sampling technique was used.

MATERIALS AND METHODS

Socio-demographic, anthropometric, and clinical data of DM patients (N = 300) were collected. They were administeredHindi translation of QoL Instrument for Indian Diabetes Patients (QOLID) and Patient Health Questionnaire-9 (PHQ-9). All statistical analyses were carried out using Statistical Package for Social Sciences (SSPS) (Version 17.0, USA).

RESULTS

About 10% had very poor, 13% poor, 11% average, 16% good, and 50% very good QoL on QOLID. General health (GH) and treatment satisfaction (TS) were the most affected domains. Fatigue was the most common symptom (79%) reported in QOLID. Age more than 55 years, rural background, and PHQ-9 score of more than 7 were predictors of poorer QoL.

CONCLUSION

There is a need for a holistic and collaborative care of DM patients, to maintain a good HRQoL. Screening of depression, fatigue, and regular assessment of QoL should be emphasized.

Risk of Depression among Early Onset Type 2 Diabetes Mellitus Patients

<b><i>Methodology:</i></b> Biochemically confirmed type 2 diabetes mellitus (T2DM) patients (<i>n</i> = 1,114) were recruited from the outpatient department of 2 tertiary care hospitals in Dhaka, Bangladesh. Face-to-face interview was conducted using a semi-structured questionnaire containing sociodemographic parameters and relevant information about depression and diabetes. Biochemical test results and treatment-related information were taken from patients’ records. The Hospital Anxiety and Depression Scale (HADS) was used to screen all patients for psychiatric manifestation. Those diagnosed by HADS were subsequently reassessed using structured clinical interview for DSM-5 Disorders – Clinician Version. T2DM diagnosed at age &#x3c;40 years were considered as early onset T2DM. Association between age of onset category and depression was assessed using multivariable mixed-effect logistic regression adjusting for random variation of the area of residence and plausible confounders. <b><i>Results:</i></b> Around a third of the participants (32.5%) were diagnosed with T2DM before the age of 40 years. Early onset T2DM patients were found to have 57% increase in the risk of developing depression (OR 1.57; 95% CI 1.13–2.28; <i>p</i> = 0.011) in comparison to those with usual onset T2DM (≥40 years). Among other factors a positive family history for diabetes (OR 1.33; 95% CI 1.03–1.78; <i>p</i> = 0.038), poor glycemic control (OR 1.31; 95% CI 1.03–1.68; <i>p</i> = 0.028), presence of 1, or more diabetic complications (OR 1.37; 95% CI 1.03–1.78; <i>p</i> = 0.011) also showed increased risk of depression. <b><i>Conclusion:</i></b> Early onset T2DM patients are at greater risk of developing depression. The finding is likely to help in setting preventive strategies aiming to reduce the presence of concomitant depression symptoms among diabetes.

Association between food insecurity and depression among older adults from low- and middle-income countries

BACKGROUND

To examine the association between self-reported food insecurity and depression in 34,129 individuals aged ≥50 years from six low- and middle-income countries (LMICs) (China, Ghana, India, Mexico, Russia, and South Africa).

METHODS

Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Self-reported past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Multivariable logistic regression analysis and meta-analysis were conducted to assess associations.

RESULTS

In total, 34,129 individuals aged ≥50 years [mean (SD) age, 62.4 (16.0) years; 52.1% females] were included in the analysis. Overall, the prevalence of moderate and severe food insecurity was 6.7% and 5.1%, respectively, while the prevalence of depression was 6.0%. Meta-analyses based on countrywise estimates showed that overall, moderate food insecurity (vs. no food insecurity) is associated with a nonsignificant 1.69 (95% confidence interval [CI] = 0.82-3.48) times higher odds for depression, while severe food insecurity is significantly associated with 2.43 (95% CI = 1.65-3.57) times higher odds for depression.

CONCLUSIONS

In this large representative sample of older adults from six LMICs, those with severe food insecurity were over two times more likely to suffer from depression (compared with no food insecurity). Utilizing lay health counselors and psychological interventions may be effective mechanisms to reduce depression among food-insecure populations. Interventions to address food insecurity (e.g., supplemental nutrition programs) may reduce depression at the population level but future longitudinal studies are warranted.

Quality of life and depression among diabetic patients attending the lifestyle clinic of a teaching hospital, West Bengal

CONTEXT

The coexistence of diabetes and depression has resulted in poor quality of life. Reported literature suggested the need for research for assessing the correlates of both quality of life along with depression in diabetic persons.

AIMS

To assess the quality of life (QOL), the prevalence of depression and associated factors in diabetic patients attending the lifestyle clinic of a tertiary healthcare facility in Eastern India.

SETTINGS AND DESIGN

This hospital-based descriptive, cross-sectional research recruited 219 patients with diabetes to assess the QOL and depression in the lifestyle clinic of a tertiary healthcare facility.

METHODS AND MATERIALS

The quality of life was assessed with the help of the World Health Organization (WHO) QOL BREF instrument. Depression was determined by a standardized Patient Health Questionnaire - 9(PHQ-9). The sociodemographic and diabetes-related information were collected by a semistructured questionnaire. Clinical and anthropometric examinations were conducted.

STATISTICAL ANALYSIS USED

All the available data were initially coded and then analyzed using the SPSS 22.0 licensed software.

RESULTS

The participants had a median age of 54 years. Illiteracy was significantly more among females. Hypertension was the most common comorbidity. Gender-wise difference in mean of weight, height, hip circumference, and QOL score in the psychosocial domain was significant. The mean QOL score was least in the social domain and highest in the environmental domain. Literate patients had a statistically significantly better QOL. Depression was observed significantly more in females, illiterates, and unemployed respondents.

CONCLUSIONS

Diabetic women with lesser literacy have an increased risk of poor QOL. Women, illiterates, and the unemployed suffered more from depression. Therefore, a target-specific, routine, and well-planned clinic approach is needed to improve the QOL and mental health of respondents.

Correlation of lower 2 h C-peptide and elevated evening cortisol with high levels of depression in type 2 diabetes mellitus

BACKGROUND

A number of studies have explored the association between depression and ghrelin, leptin, and cortisol; further, postprandial C-peptide levels have a therapeutic effect on type 2 diabetes mellitus (T2DM). However, the relationship between C-peptide and depression in patients with diabetes, remains unclear. The aim of this study was to explore the association between depression and ghrelin, leptin, cortisol, and C-peptide in patients with diabetes.

METHODS

We enrolled 50 adults without T2DM, 77 non-depressed adults with T2DM (free of Axis-I psychiatric disorders as assessed using the Mental Illness Needs Index (MINI), Patient Health Questionnaire (PHQ-9 score ≤ 4)) and 59 patients with T2DM and depression (PHQ-9 ≥ 7 and positive by the Structured Clinical Interview for DSM-5). The age range of the participants was 45-59 years of age. We compared the above three groups and explored the association between ghrelin, leptin, cortisol, C-peptide, and depression in patients with diabetes. A post-hoc power-analysis was finished.

RESULTS

Compared with the non-depression T2DM group, the depression T2DM group had significantly higher blood glucose fluctuations. Further, compared with the non-depression T2DM and non-diabetic groups, the depression T2DM group had significantly lower levels of post-meal 2-h C-peptide and elevated evening cortisol (p < 0.01). Regression analysis revealed a significant negative correlation between depression severity and 2-h postprandial C-peptide in patients with diabetes (p < 0.01) and a significant positive correlation with midnight cortisol levels (p < 0.01). A post hoc power analysis showed that we had an adequate sample size and met the minimum requirement to attain 80% power. A post hoc power calculation also demonstrated that this study basically achieved power of 80% at 5% alpha level.

CONCLUSIONS

Our findings indicate a correlation of low fasting levels of 2-h C-peptide as well as higher midnight cortisol levels with higher depression severity in middle-aged patients with T2DM.

Depression in High-Risk Type 2 Diabetes Adults

BACKGROUND

Patients suffering from diabetes mellitus are two to three times more vulnerable to develop depressive symptomatology.

PURPOSE

To report the association between depression and high-risk diabetes in India.

METHODS

A total of 1,606 adults were recruited for the study. A patient health questionnaire was used to determine the depression on the basis of score. A statistical analysis was done using analysis of covariance (ANCOVA) and binary logistic regression to determine the association between diabetes categories and four degrees of depression.

RESULTS

Out of 1,606 participants, 52.6% were males and 47.4% were females, 56.4% belonged to the urban area and 43.6% to the rural area. However, 19.5% (314) had diabetes; 29.1% of diabetes individuals had minimal depression, 38.7% had mild, 17.2% moderate, 12.0% moderately severe, and 3.1% had severe depression. In the self-reported diabetic participant group (N = 142), there was a significantly higher degree of severe depression (3.3%) in the uncontrolled group (HbA1c >7%) as compared to the well-controlled diabetes group (HbA1c <7%). ANCOVA in gender differences in the uncontrolled diabetes group showed that male gender had significantly (P = -.02) higher mean scores of depression.

CONCLUSION

This study found that there is a positive association between depression and uncontrolled diabetes in male gender.

Depression and Associated Factors Among the Patients with Type 2 Diabetes in Rwanda

Background

Various studies have found a greater prevalence of depression among patients having one or more chronic non communicable disease like diabetes mellitus than in the general population. This co-morbidity is linked with serious health consequences such as high mortality and morbidity, debility, low quality of life and increased health costs. The aim was to determine the prevalence of depression among patients with diabetes attending three selected district hospitals in Rwanda. Sociodemographic factors associated with depression were also explored.

Methods

It was a descriptive cross sectional study. A sample of 385 was selected randomly to participate in the study and 339 complete the questionnaires making a response rate of 88%. The Patient Health Questionnaire-9 (PHQ-9) was used to screen depression. Descriptive and inferential analysis were done.

Results

The majority of respondents 83.8% (n=284) had depression. Among them 17.9% (n=61) had moderately severe to severe depression while 81.9% (n=223) had minimal to moderate depression. A statistically significant association was found between age and depression (p=0.01) also between gender and depression (p=0.02). Significance was determined at P<0.05.

Conclusion

we found a high prevalence of depression among patients with diabetes. The regular screening of depression among these patients is recommended.

Depression and diabetes: An experience from Kashmir

BACKGROUND

Diabetes mellitus is a common chronic metabolic disorder characterized by hyperglycemia. Minimal attention has been paid toward the relationship between diabetes and depression in developing countries such as India, despite a number of studies in developed countries, exploring casual pathway between the two highly prevalent conditions. The aim of this study was to estimate the prevalence and severity of depression among patients of diabetes attending the endocrinology department of a tertiary care hospital of Kashmir.

METHODOLOGY

A total of 527 patients having diabetes of ≥6 months with age ranging from 18 years to 60 years were screened for major depressive disorder (MDD) using Diagnostic and Statistical Manual IV-based criteria. Severity of depression was assessed by the Montgomery-Asberg Depression Rating Scale.

RESULTS

Depression was present in 39.65% of patients. Depression was more prevalent in the age group of 29-38 years, in females as compared to males, among literates and government employees. Prevalence of depression among Type 1 diabetic patients was 60%, while as in case of Type 2, it was 37.75%. Depressed patients had higher fasting blood glucose levels as compared to nondepressed diabetic patients.

CONCLUSION

MDD is inordinately high among adult diabetic patients, and majority of the depressive patients have moderate intensity of MDD.

The prevalence of comorbid depression in patients with diabetes: A meta-analysis of observational studies

Depression is one of the most common psychiatric disorders in patients with diabetes, which can exacerbate and accelerate adverse diabetes complaints by reducing self-care behaviors and medication adherence. The purpose of this study is to estimate the prevalence of depression in Iranian patients with diabetes. The search was conducted in the databases of Scientific Information Database (SID), MagIran, PubMed, Scopus, Web of Science, and Google Scholar. The following keywords and their possible combinations were used: depressive disorder, major depressive disorder, dysthymic disorder, diabetes mellitus and Iran. Heterogeneity between studies was examined with I². The data were analyzed using the meta-analysis method and random-effects model with Stata version 11.0. The analysis of 37 selected articles with a total sample size of 7849 indicated that the overall prevalence of depression in Iranian patients with diabetes was 54% (95% CI: 47.32-60.70). In addition, the prevalence of depression in women (56.25%; 95% CI: 48.83-63.68) was higher than that of men (41.05%; 95% CI: 32.74-49.36). The results showed that there was no relationship between the prevalence of depression and publication year (0.249), sample size (p = 0.529), and mean age of the subjects (p = 0.330). More than half of the patients with diabetes suffer from depression. Identification and treatment of these patients can be an important step in controlling and delaying the diabetes complication.

A review of the bidirectional relationship between psychiatric disorders and diabetes mellitus

The prevalence of type 2 diabetes is rising worldwide, including Saudi Arabia. Among patients with diabetes, 30% suffer from mental disorders, such as depression, schizophrenia, delirium, and substance misuse (for example, tobacco smoking). Moreover, these disorders appear to share a bidirectional relationship with diabetes. For example, the incidence of diabetes has been shown to be 2-4 times greater in patients with schizophrenia than in normal individuals; also, there is a known association between depression and diabetes. In this review, we focus specifically on the bidirectional relationship between diabetes and psychiatric disorders, including the effects of antipsychotic drugs.

Utilizing eHealth and Telemedicine Technologies to Enhance Access and Quality of Consultations: It's Not What You Say, It's the Way You Say It

Therapeutic inertia and suboptimal adherence to therapy have been cited as key contributors to poor diabetes outcomes. Although many of the factors associated with therapeutic inertia and adherence are often beyond the control of both patients and health care providers, most factors can be addressed through improved patient-provider communications.Use of telemedicine and electronic health (eHealth) technologies has the potential to address these factors, and thus, improve management of diabetes, increase access to care, and diminish inequalities in providing health care services. This article examines the behavioral aspects of the eHealth and telemedicine technologies, discusses how patient-centered care can be delivered effectively using eHealth and telemedicine, and reviews a novel model of care, KALMOD, which addresses a range of factors that are critical to improving patient-provider communications and collaborations.

The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies

AIMS

Depression is a common co-morbidity in patients with type 2 diabetes mellitus (T2DM). Untreated depression in these patients adversely affects self-care activities and other diabetes complications. The aim of this study is to estimate the prevalence of depression among patients with T2DM by conducting a meta-analysis of observational studies.

METHODS

MEDLINE, Web of Science, Science Direct, and Google Scholar databases were searched for all observational studies that assessed depression in T2DM. Relevant articles were searched using the combination of Medical Subject Heading (MeSH) terms of "depression", "depressive disorder", and "diabetes mellitus" published between January 2007 and July 2018. Random effects model was used to estimate the weighted prevalence rates and 95% CI using "metaprop program in STATA 11".

RESULTS

In total, the 248 included studies (with 273 reported prevalence) identified 83,020,812 participants; of them, 23,245,827 (28%; 95% CI 27, 29) suffered from different severity levels of depressive disorders. The prevalence of depression was separately reported in 137,372 males and 134,332 females. Of them, 31,396 males (23%, 95% CI: 20, 26) and 45,673 females (34%, 95% CI: 31, 38) were depressed. Compared with global estimate, depression prevalence was lower in Europe (24%) and Africa (27%), but higher in Australia (29%) and Asia (32%). The prevalence in America was equal to the estimated prevalence in the world (28%). Depression was more common in subjects younger than 65 compared with elderlies (31% vs. 21%).

CONCLUSION

Our findings demonstrated that almost one in four adults with T2DM experienced depression. Given the high prevalence of depressive disorders in diabetic patients, screening these patients for co-morbid depression and its relevant risk factors is highly recommended.

Behera J, Patnaik S. Effect of Sertraline as an Add-on Therapy in T2DM Patients with Comorbid Depression: An Open Label Randomized Controlled Trial

OBJECTIVES

To study the effect of sertraline on depression in type 2 diabetes mellitus (T2DM) patients with comorbid depression.

MATERIALS AND METHODS

An open label randomized control study. Patients with T2DM and moderate to severe depression were randomized to sertraline or control therapy for six months. The primary objective was the change in depression score and the secondary objectives were changes in glycemic parameters, wellbeing, and drug adherence scores at three and six months.

RESULTS

The present study includes 160 T2DM patients with moderate to severe depression. Depression in these patients was evaluated using a self-reporting version of Patient Health Questionnaire (PHQ-9). A total of 80 patients each were randomized to sertraline and control groups. Sertraline significantly improved depression scores in patients with T2DM and moderate to severe depression both at 3 months and 6 months compared to the control group. The wellbeing and treatment adherence scores improved significantly in the sertraline group at 6 months. However, sertraline had no significant effect on glycemic parameters when compared to control group both at 3 months and 6 months.

CONCLUSION

Sertraline significantly improves depression and drug adherence in T2DM patients with depression but has no effect on glycemic parameters.

Physical injury and depression in six low- and middle-income countries: A nationally representative study

BACKGROUND

Studies on the association between physical injury and depression in low- and middle-income countries (LMICs) are scarce. Therefore, our goal was to analyze the association between physical injury and depression using nationally representative data from six LMICs.

METHODS

Cross-sectional data from the Study on Global Ageing and Adult Health (SAGE) survey (2007-2010) were analyzed (N = 42,489). Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Any injury in our analysis referred to having experienced traffic injury or other injury in the past 12 months. Multivariable logistic regression analysis and meta-analyses were used to assess associations.

RESULTS

Overall, the prevalence of depression was higher among those who had any injury compared to those without injuries (9.0% vs. 3.7%). Compared to having no injury, any injury without disability was associated with a 1.72 (95%CI=1.18-2.50) times higher odds for depression, while the odds for injury with disability was much higher (OR =3.81; 95%CI=2.16-6.73). The pooled estimate (OR) for the association between any injury and depression based on a meta-analysis using country-wise estimates was 3.28 (95%CI = 1.71-6.31) and a moderate level of between-country heterogeneity was observed (I² = 63.1%).

LIMITATIONS

Causality or temporal associations cannot be established due to the cross-sectional nature of the study.

CONCLUSIONS

Personalized mental health care to victims of physical injury may reduce risk for depression. Treating disability as the result of injuries may also be effective in the prevention of depressive disorders.

Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome

Schizophrenia (SCZ) and major depressive disorder (MDD) in treatment-naive patients are associated with increased risk for type 2 diabetes (T2D) and metabolic syndrome (MetS). SCZ, MDD, T2D, and MetS are often comorbid and their comorbidity increases cardiovascular risk: Some risk genes are likely co-shared by them. For instance, transcription factor 7-like 2 (TCF7L2) and proteasome 26S subunit, non-ATPase 9 (PSMD9) are two genes independently reported as contributing to T2D and SCZ, and PSMD9 to MDD as well. However, there are scarce data on the shared genetic risk among SCZ, MDD, T2D, and/or MetS. Here, we briefly describe T2D, MetS, SCZ, and MDD and their genetic architecture. Next, we report separately about the comorbidity of SCZ and MDD with T2D and MetS, and their respective genetic overlap. We propose a novel hypothesis that genes of the prolactin (PRL)-pathway may be implicated in the comorbidity of these disorders. The inherited predisposition of patients with SCZ and MDD to psychoneuroendocrine dysfunction may confer increased risk of T2D and MetS. We illustrate a strategy to identify risk variants in each disorder and in their comorbid psychoneuroendocrine and mental-metabolic dysfunctions, advocating for studies of genetically homogeneous and phenotype-rich families. The results will guide future studies of the shared predisposition and molecular genetics of new homogeneous endophenotypes of SCZ, MDD, and metabolic impairment.

The Effect of Symptom Clusters on Quality of Life Among Patients With Type 2 Diabetes

Purpose

The purpose of this study was to examine the collective effect of a symptom cluster (depression, anxiety, fatigue, and impaired sleep quality) at baseline on the quality of life (QOL) of patients with type 2 diabetes (T2DM) over time.

Methods

This was a secondary data analysis of 302 patients with T2DM who presented with both hypertension and hyperlipidemia. All of the participants were enrolled in a randomized controlled intervention study testing strategies to improve medication adherence. The psychological symptoms and QOL were assessed at baseline, 6 months, and 12 months. Cluster analysis was used to identify subgroups of patients based on the severity of symptoms at baseline.

Results

Hierarchical cluster analysis identified 4 patient subgroups: all low severity, mild, moderate, and all high severity. There were significant differences in patients’ QOL overall among the 4 subgroups. Compared with the all-low-severity subgroup, subgroups with higher severity of the 4 symptoms had poorer QOL across all 3 time points. QOL was most impacted by trait anxiety across the 3 time points.

Conclusion

QOL was significantly impacted by psychological symptom clusters among patients with T2DM. Healthcare providers should not neglect psychological symptoms that patients experience. It is important to assess and manage these symptoms to improve QOL among patients with diabetes.

Study On Social Support for Exercise And Its Impact on the Level of Physical Activity of Patients with Type 2 Diabetes

BACKGROUND:

Physical activity is one of the most important self-care approaches to controlling complications of type 2 diabetes. According to Bandura’s social theory, factors such as social support are effective factors in the incidence of the behaviour.

AIM:

This study aims to determine the level of physical activity, social support and their determinants.

METHODS:

This descriptive study was performed on 250 patients with type 2 diabetes by Cluster-Random Sampling method in Rafsanjan City. Data were collected using the International Physical Activity Questionnaire and Social Support Questionnaire for Sport, that their validity and reliability were confirmed. The results were analysed by t-test, ANOVA and logistic regression.

RESULTS:

This study showed that 46.8% of the patients were in the inactive group. Social support score for exercise was low in this group. The results indicated that social support and gender are predictors of physical activity, and with an increase in the social support score, the odds of having minimal physical activity increased 1.17 fold (OR = 1.167) and men were 4.18 times more likely to have minimal physical activity (OR = 4.183).

CONCLUSION:

Considering the low level of physical activity and social support in diabetic patients, and the effect of social support on the prediction of physical activity, interventions are recommended to increase social support in this group.

Screening for Depressive Symptoms among Patients Attending Specialist Medical Outpatient Clinics in a Tertiary Hospital in Southern Nigeria

This study aimed to determine the prevalence of unrecognized depressive symptoms and its associated risk factors among patients with diabetes and/or hypertension attending medical outpatient clinics of a tertiary health centre in southern Nigeria. A cross-sectional study design was employed to assess 200 randomly selected patients attending the clinics. Questionnaires were administered to obtain sociodemographic and medical history data. The perceived stress scale (PSS) was used to determine the presence of subjective psychological stress and PHQ-9 was used to screen for depression. The prevalence of depressive symptoms was 54.9% with 16.5% categorised as having major depression. After adjusting for confounding variables, age younger than 60 years was associated with less odds of having depressive symptoms (AOR 0.32, 95% CI 0.17, 0.62; p=0.001), while only significant psychological stress increased the odds of having depressive symptoms (AOR 2.78, 95% CI 1.37, 5.64; p=0.005). The prevalence of depression among the study participants is high and has the potential to significantly impact the control of their disease and ultimately contribute to the high cardiovascular risk faced by this population.

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.

Depression and related risk factors among patients with type 2 diabetes mellitus, Jazan area, KSA: A cross-sectional study

PURPOSE

To determine the prevalence of depression and related risk factors among type 2 diabetes mellitus patients (T2DM) in Jazan area, Saudi Arabia.

METHOD

A cross sectional, self-administered questionnaire study was conducted among T2DM patients in Jazan area, Saudi Arabia. A total of 385 patients were selected at randomly. The Patient Health Questionnaire (PHQ-9) was utilized to measure symptoms and signs of depression.

RESULTS

The overall prevalence of depression among T2DM patients was 37.6%. Of them, 24.2% were mildly depressed, 9.6% were moderately severely depressed, and 4.2% were severely depression. Significant predictors of depression include the presence of diabetic foot (P=0.000), cardio-vascular diseases (P=0.000), eye complication (P=0.073), and erectile dysfunction (P=0.090). The prevalence of depression was not significantly associated with the age (P=0.375) and gender (P=0.374). Similarly no association was found with duration of diabetes (P=0.475) and HbA1c (P=0.555).

CONCLUSION

The study revealed that diabetes complications are strong predictors of the rate of depression among T2DM patients. Therefore, early depression screening is needed to improve the quality of life of diabetic patients.

Depression in diabetes mellitus-A comprehensive systematic review of literature from an Indian perspective

Diabetes and depression are rapidly growing chronic health conditions that have significant negative impact upon the physical, psychological, social and occupational functioning, quality of life and often leads to socio-economic burden. Presence of both these comorbid diseases results in various short term and long term complications and increases the mortality as compared to those with depression or diabetes alone.

OBJECTIVES

Systematic review of the epidemiological data, risk factors and relationship between depression and glycaemic control among the Indian studies.

METHODS

We searched Pubmed, Pubmed Central, Google Scholar and Directory of Open Access Journal (DOAJ) databases to identify relevant Indian studies.

RESULTS

Substantial variation in the prevalence of depression in people with diabetes was found across the 41 selected studies; according to this review the range is 2% to 84% (T1DM - 2-7%; T2DM - 8%-84%). Correlates of depression in diabetic patients are advancing age, female gender, low literacy rate, burden of being from a lower socioeconomic status, rural domicile, marriage and duration of diabetes of >2years, diabetes related complications and poor glycaemic control. Sedentary life without adequate physical activities, lack of self-care are often the factors that precipitates depression in a T2DM patient and vice versa.

CONCLUSION

According to this review, among Indian population there is a significant association between depression and diabetes.

Relationship between functional capacity and health-related quality of life of patients with type-2 diabetes

AIMS

Physical function is a determinant of survival in chronic diseases, however, little is known about functional capacity (FC) and self-reported health status of patients with type-2 diabetes (T2D). This study investigated the relationship between FC and health related quality of life (HRQoL) of patients with T2D.

MATERIALS AND METHODS

This cross-sectional survey recruited 150 patients with T2D from a Nigerian university teaching hospital using purposive sampling technique. Socio-demographic and physical characteristics were assessed. FC and HRQoL including physical and mental health component summary (PCS and MCS) were assessed using the six minute walk test (6MWT) and Short-Form (SF-12) questionnaire respectively. Maximum oxygen consumption (VO₂ max) was estimated, pre and post 6MWT cardiovascular parameters and fasting blood glucose (FBG) were assessed. Data were analyzed using descriptive and inferential statistics. Alpha level was set at p<0.05.

RESULTS

There were 83(55.3%) women, means of age and FBG of participants were 64.2±8.7years and 7.4±2.4mmol/L respectively. The means of 6-min walk distance (6-MWD) and estimated VO₂ max were 341.55±41.82m and 9.2±0.7mL/kg/min respectively. Significant differences were found between pre and post HR (t=-44.71; p=0.001), SBP (t=-38.38; p=0.001) and DBP (t=-38.58; p=0.001) following 6MWT. The means of PCS and MCS of HRQoL were 48.67±5.51 and 58.39±2.86 respectively. There were significant correlations between FC and each of PCS (r=0.678; p=0.001) and MCS (r=0.211; p=0.009).

CONCLUSION

Patients with T2D demonstrated low functional capacity and reduced HRQoL. Significant relationship exists between FC and physical and mental component summary of HRQoL. Exercise intervention to improve FC and HRQoL were recommended.

Prevalence of depression in patients of type 2 diabetes mellitus: A cross sectional study in a tertiary care centre

AIMS

The present study aims to study the prevalence of depression in patients with uncomplicated type II diabetes mellitus and to find its association with various socio-demographic factors in the same.

MATERIALS AND METHODS

A cross-sectional, single interview study was performed in an outpatient department of an endocrinology institute. Total 80 type II DM patients without any associated complications of diabetes were included in this study. To diagnose Depressive Episode, structured clinical interview for DSM V was applied. Severity of depression was assessed by Hamilton Rating Scale for Depression (HAM-D). To assess socio-demographic characteristics of the patients, all of them were evaluated with a semi-structured socio-demographic performa.

RESULTS

38.75% patients (N=31) were found to be suffering from depression. Among them 48.38% were moderately depressed and none were suffering from very severe depression. Significant association was not found between depression and socio-demographic factors of age (p=0.920), gender (p=0.251), economic profile (p=0.583), local background of the patient (p=0.646), educational qualification (p=0.935) and marital status (p=0.644). Similarly no association was found with duration of diabetes, HbA1c and BMI.

CONCLUSION

Exclusion of complicated cases didn't seem to influence overall prevalence of depression, although reduction in severity was apparent. Thus even in those diabetic patients who are leading a complication free life, a detailed psychiatric analysis to rule out depression is mandatory.

The Prevalence and Predictors of Depression in Type 2 Diabetic Population of Punjab

The present cross sectional study was carried out on 787 type 2 diabetic subjects from tertiary health care hospitals to identify the prevalence and predictors of depression in diabetes. Depression was tested using Patient Health Questionnaire-9. Of the study participants, 199 (25.29%) met the criteria for mild to moderate depression, 252 (32.02%) were severely depressed and 336 (42.69%) were clinically non-depressed. The prevalence of depression was 65.02 % in women, which is 1.87 fold higher (p < 0.0001) than men (49.87%). Depression was observed to be strongly associated with advancing age >30 years (p < 0.05), low income (p = 0.0001), sedentary life style (p = 0.001), Plasma levels of low density lipoproteins (LDL) >100 mg/dl and triglycerides (TG) >150 mg/dl (p < 0.05), drinking alcohol (p < 0.001), statin use (p < 0.001), BMI >35-39.9 kg m(-2) (p = 0.018), WHR >0.9 cm (p < 0.0001), Glucose levels >125 mg/dl (p < 0.0001) and duration of diabetes 2-4 years (p = 0.003). In multivariate logistic regression model, risk factors such as, being a woman, duration of diabetes ≥10 years, BMI ≥30 kg m(-2), LDL >100 mg/dl, TG >150 mg/dl and sedentary life style emerged as independent predictors of depression in diabetes. In the present study, 86.4 % diabetic subjects were not diagnosed for depression prior participation. In conclusion, the present study revealed that higher prevalence of depression in diabetes was evident in population of Punjab, especially in women and majority of these patients remain undiagnosed for depression.

The association between diabetes and depression

OBJECTIVES

To evaluate the frequency of depression among Saudi patients, and to correlate between the presence of depression and type of diabetes.

METHODS

The research approach was descriptive with a convenient subject of 100 male and female patients (27 subjects with Type 1 diabetes, 29 subjects with Type 2 diabetes, and 44 subjects with gestational diabetes) from March to June 2014 at Al-Solimania Primary Health Care Center, Al-Olaya, Riyadh, Kingdom of Saudi Arabia. Patients were interviewed individually using an interview questionnaire sheet formulated by researchers to assess lifestyle items, and Beck depression inventory was used to screen for depression.

RESULTS

Thirty-seven percent of those suffering from Type 1 diabetes, and 37.9% of subjects with Type 2 diabetes were diagnosed with depression, while only 13.6% of subjects with gestational diabetes were diagnosed with depression. The results also showed that more than half of the study subjects do not comply with either glucose check, or diet regimen.

CONCLUSION

This study revealed that there is an association between diabetes and depression although the correlation between depression and diabetes is not significant, while there is significant relation with changes in body image. Patients with diabetes should be screened for depression, provided referral to appropriate social services and psychosocial support, and involvement of mental health professions when needed.

Impact of diabetic foot ulcer on health-related quality of life: A cross-sectional study

Studies have reported that health-related quality of life (HRQoL) is adversely affected by diabetic foot ulcer (DFU). There is a paucity of data on the effects of foot ulcers on HRQoL of diabetes patients in our population. Because South-Asians, especially Indians, have unique features related to diabetes and its complications, generalizing the data about their effect on HRQoL from any other part of the world is not a pragmatic approach. This study evaluated the impact of foot ulcers on HRQoL of diabetes patients. This cross-sectional study, conducted in Kasturba Hospital, Manipal (coastal South India), included 200 DFU patients in a study group (SG) and 200 diabetes patients in a control group (CG). The RAND-36 questionnaire was employed for evaluating HRQoL scores for the patients in both groups. DFU patients also completed the Diabetic Foot Ulcer Scale-Short Form questionnaire. Independent t-test was used to test the differences in mean scores. Results found that both CG and SG have "poor" HRQoL (mean score <50) on all the subscales except for two in CG. There is a statistically significant difference between groups (P < 0.05) on all eight of the subscales of HRQoL. For both CG and SG, the Physical Component Summary domain score (44.9 ± 6.3 v 28.4 ± 3.4) and Mental Component Summary domain score (42.5 ± 3.8 v 29.5 ± 7.1) were poor. There were significant differences between CG and SG for both mean Physical Component Summary score and Mental Component Summary score of HRQoL (p < 0.05). The Diabetic Foot Ulcer Scale-Short Form found that HRQoL is very poor for DFU patients on all six domains. The study concludes that DFU patients have very poor HRQoL compared with diabetic patients. Likewise, the diabetic foot is associated with severely impaired HRQoL in both physical and mental health aspects. This study will help to develop a patient education model for DFU patients by looking at the various HRQoL domains that are adversely affected by the presence of foot ulcer.

Adherence to the American Diabetes Association standards of care among patients with type 2 diabetes in primary care in Saudi Arabia

OBJECTIVES

To assess adherence to 11 American Diabetes Association (ADA) standards of diabetic care.

METHODS

We conducted this one-year historical prospective study between October 2010 and September 2011 on 450 adult type 2 diabetes patients in a primary care center in Saudi Arabia. We used the definitions of the 2010 ADA standards of diabetic care processes and targets.

RESULTS

Four-hundred and fifty medical files were valid. The adherence to ADA process standards of measurement of glycated hemoglobin (HbA1c) was 68.7%, 92.9% for blood pressure, and 80.2% for serum lipids. Screening was lowest for nephropathy (35.6%), and highest for diabetic foot (72%). Adherence to medications ranged between 82.2% for antiplatelets, and 92.4% for dyslipidemia. For outcome standards, 24.2% of the patients had an HbA1c &lt;7%, and 32.2% had controlled blood pressure (&lt;130/80 mm Hg); and 58.5% achieved targeted low-density lipoproteins (LDL). Only 7.2% had glycemic control in addition to controlled blood pressure and targeted LDL level. An increasing trend of patients achieving glycemic control (&lt;7%) was shown throughout follow-up (p=0.003).

CONCLUSIONS

We found suboptimal adherence with many ADA standards of diabetic care among patients with type 2 diabetes treated at a primary care center in Saudi Arabia. The achievement of outcome standards, either singly or combined, is lower than the adherence rates. However, the figures show improvement in adherence during the follow-up period.

Coffee consumption is inversely associated with depressive status in Japanese patients with type 2 diabetes

Depression has been reported to be more prevalent among diabetic patients than non-diabetic individuals. Although depression and diabetes are causally and bi-directionally related, the influence of food intake frequency on depressive symptoms in diabetic patients has not been fully evaluated. This cross-sectional study analyzed data obtained from 89 patients with type 2 diabetes who completed self-administered questionnaires regarding food intake frequency, diabetic variables, physical activity and depressive states. The prevalence of a “definite” depressive state was 16.9%. The duration of diabetes, hemoglobin A1c levels, diabetic microvascular complications and physical activity levels were similar between depressed and non-depressed patients. Daily intakes of total lipids, n-6 polyunsaturated fatty acids and lipid energy ratios were significantly lower, and the carbohydrate energy ratio was significantly higher in depressed than in non-depressed patients. Coffee consumption was inversely associated with depressive symptoms, but no significant association was found between tea or green tea consumption and depressive symptoms. The logistic regression analysis showed that coffee consumption was an independent predictor of non-depressed status in diabetic patients. This might be due to biologically active compounds containing in coffee other than caffeine.