Prevalence of depression in relation to glucose intolerance in urban south Indians--the Chennai Urban Rural Epidemiology Study (CURES-76)

Epigenome-wide association study identifies a specific panel of DNA methylation signatures for antenatal and postpartum depressive symptoms

Depression during pregnancy and postpartum poses significant risks to both maternal and child well-being. The underlying biological mechanisms are unclear, but epigenetic variation could be exploited as a plausible candidate for early detection. We investigated whether DNA methylation signatures are associated with antenatal depressive symptoms (ADS) and whether early alterations in methylation patterns could be used to predict postpartum depressive symptoms (PDS). 201 pregnant women in early pregnancy, without a prior history of depressive disorders, from the STratification of Risk of Diabetes in Early Pregnancy study (STRiDE) were recruited. Using the Patient Health Questionnaire-9 (PHQ-9), 92 women were identified with ADS, while 109 served as controls. Edinburgh Postnatal Depression Scale (EPDS) was used to assess PDS during 6-12 weeks after delivery. The dataset was split into 80 % for training and testing and 20 % for validation, to discern potential CpGs for ADS using a support vector machine classifier. Analysis revealed 591 CpGs significantly associated with ADS, from which a panel of 7 CpGs was identified to discriminate between ADS and controls with high sensitivity and specificity (AUC: 0.85 in test, 0.73 in validation). Pathway analysis highlighted involvement in inositol phosphate metabolism, notch, and calcium signaling. The same 7 CpGs predicted PDS with an AUC of 0.76 (95 % CI: 0.66-0.87). Integration of CpG data with patient-reported information significantly enhanced PDS prediction. Our study identified DNA methylation signatures that could potentially differentiate ADS from controls and predict PDS. This suggests potential for developing a CpG panel for diagnostic and preventive strategies for perinatal depression.

Factors influencing diabetes treatment satisfaction in the INtegrating DEPrEssioN and Diabetes treatmENT randomized clinical trial: A multilevel model analysis

AIMS

Patient satisfaction is associated with positive diabetes outcomes. However, there are no identified studies that evaluate both patient- and clinic-level predictors influencing diabetes care satisfaction longitudinally.

METHODS

Data from the INtegrating DEPrEssioN and Diabetes treatmENT trial was used to perform the analysis. We used fixed and random effects models to assess whether and how changes in patient-level predictors (treatment assignment, depression symptom severity, systolic blood pressure, body mass index, LDL cholesterol, and haemoglobin A1C) from 0 to 24 months and clinic-level predictors (visit frequency, visit cost, number of specialists, wait time, time spent with healthcare provider, and receiving verbal reminders) measured at 24 months influence diabetes care satisfaction from 0 to 24 months.

RESULTS

Model 1 (patient-level predictors) accounted for 7% of the change in diabetes satisfaction and there was a significant negative relationship between change in depressive symptoms and care satisfaction (β = -0.23, SE = 0.12, p < 0.05). Within Model 1, 2% of the variance was explained by clinic-level predictors. Model 2 included both patient- and clinic-level predictors and accounted for 18% of the change in diabetes care satisfaction. Within Model 2, 9% of the variance was attributed to clinic-level predictors. There was also a cross-level interaction where the change in depression had less of an impact on the change in satisfaction for those who received a verbal reminder (β = -0.11, SE = 0.21, p = 0.34) compared with those who did not receive a reminder (β = -0.62, SE = 0.08, p < 0.01).

CONCLUSIONS

Increased burden of depressive symptoms influences diabetes care satisfaction. Clinic-level predictors also significantly influence diabetes care satisfaction and can reduce dissatisfaction in primary care, specifically, reminder calls from clinic staff.

Association between prediabetes and depression: A meta-analysis

BACKGROUND

Previous studies evaluating the association between prediabetes and depression have shown inconsistent results. Consequently, the aim of the systematic review and meta-analysis was to investigate whether prediabetes is associated with depression in the general population.

METHODS

Relevant observational studies were obtained by searching the Medline, Web of Science, and Embase databases. A random-effects model was utilized to pool the results by incorporating the influence of heterogeneity. Multiple subgroup analysis was performed to evaluate the influence of the study characteristics on the outcome.

RESULTS

Sixteen large-scale cross-sectional studies involving 322,863 participants were included. Among the total participants, 82,154 (25.4%) had prediabetes. The pooled results showed that prediabetes was associated with a higher prevalence of depression in this population (odds ratio [OR]: 1.16, 95% confidence interval [CI]: 1.05 to 1.28, p = 0.003; I2 = 58%). Subgroup analysis showed a stronger association between prediabetes and depression in younger subjects (<50 years old, OR: 1.25, 95% CI: 1.04 to 1.50) than that in older subjects (≥50 years old, OR: 1.05, 95% CI: 1.10 to 1.10; p for subgroup difference = 0.03). Other study characteristics, such as the study country, sex of the participants, definition of prediabetes, methods for the detection of depression, and study quality score, did not seem to significantly affect the results (p for subgroup difference all > 0.05).

CONCLUSIONS

Prediabetes may be associated with a slightly higher prevalence of depression in the general population, particularly in subjects aged <50 years old.

Experiences and challenges of people living with multiple long-term conditions in managing their care in primary care settings in Kerala, India: A qualitative study

BACKGROUND

Multimorbidity or multiple long-term conditions (MLTCs), the coexistence of two or more chronic conditions within an individual, presents a growing concern for healthcare systems and individuals' well-being. However, we know little about the experiences of those living with MLTCs in low- and middle-income countries (LMICs) such as India. We explore how people living with MLTCs describe their illness, their engagements with healthcare services, and challenges they face within primary care settings in Kerala, India.

METHODS

We designed a qualitative descriptive study and conducted in-depth, semi-structured interviews with 31 people (16 males and 15 females) from family health centres (FHCs) in Kerala. Interview data were recorded, transcribed, and thematic analysis using the Framework Method was undertaken.

FINDINGS

Two main themes and three sub-themes each were identified; (1) Illness impacts on life (a)physical issues (b) psychological difficulties (c) challenges of self-management and (2) Care-coordination maze (a)fragmentation and poor continuity of care (b) medication management; an uphill battle and (c) primary care falling short. All participants reported physical and psychological challenges associated with their MLTCs. Younger participants reported difficulties in their professional lives, while older participants found household activities challenging. Emotional struggles encompassed feelings of hopelessness and fear rooted in concerns about chronic illness and physical limitations. Older participants, adhering to Kerala's familial support norms, often found themselves emotionally distressed by the notion of burdening their children. Challenges in self-management, such as dietary restrictions, medication adherence, and physical activity engagement, were common. The study highlighted difficulties in coordinating care, primarily related to traveling to multiple healthcare facilities, and patients' perceptions of FHCs as fit for diabetes and hypertension management rather than their multiple conditions. Additionally, participants struggled to manage the task of remembering and consistently taking multiple medications, which was compounded by confusion and memory-related issues.

CONCLUSION

This study offers an in-depth view of the experiences of individuals living with MLTCs from Kerala, India. It emphasizes the need for tailored and patient-centred approaches that enhance continuity and coordination of care to manage complex MLTCs in India and similar LMICs.

Risk and protective factors for severe mental disorders in Asia

Among 369 diseases and injuries, the years lived with disability (YLDs) and disability-adjusted life-years (DALYs) rates for severe mental illnesses (SMIs) are within the top 20 %. Research on risk and protective factors for SMIs is critically important, as acting on modifiable factors may reduce their incidence or postpone their onset, while early detection of new cases enables prompt treatment and improves prognosis. However, as most of the studies on these factors are from Western countries, the findings are not generalizable across ethnic groups. This led us to conduct a systematic review of the risk and protective factors for SMIs identified in Asian studies. There were common factors in Asian and Western studies and unique factors in Asian studies. In-depth knowledge of these factors could help reduce disability, and the economic and emotional burden of SMIs. We hope that this review will inform future research and policy-making on mental health in Asian countries.

The risk of experiencing depression among older adults in India: A cross-sectional study

Background

The comorbidity of diabetes and depression poses a major challenge to older adults. While a few small scale studies have investigated the diabetes associated risk of experiencing depression, there is no national-level study available for India on the same. In this context, this study estimates the burden and risk of depression due to diabetes among older adults aged 45 and above in India while adjusting for socio-economic and demographic characteristics of the individuals.

Methods

Longitudinal Ageing Study in India (LASI), 2017-2018 wave 1 data was utilised in this study. The prevalence of depression and diabetes were estimated by background characteristics using bivariate cross-tabulation. In addition, multivariate logistic regression was applied to examine the likelihood of depression associated with diabetes and other covariates.

Result

Empirical estimation demonstrated that 14% of males and 8% of females with diabetes suffer from depression in the 45-59 age group. A diabetic person aged 45 and above was 16% more likely to suffer from depression than a non-diabetic person; whereas, a diabetic elderly aged 60 and above was 24% more likely to experience depression than their non-diabetic counterparts. The multivariate analysis confirmed a highly statistically significant association between diabetes and depression indicating a substantial risk to experience depression among those older adults and elderly who suffer from diabetes.

Conclusion

Elderly population (60 +) is at higher risk of experiencing depression due to diabetes. Therefore, public health care awareness should be raised, particularly among endocrinologists or specialist doctors who provide treatment at the tertiary-care hospitals in India. The health care experts should refer/recommend the diabetic patients to screen for depressive symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01185-6.

Higher levels of peripheral blood glucose in the acute stage of stroke increase the risk of Post-stroke Depression: A Systematic Review and Meta-Analysis

BACKGROUND

Multiple investigations have shown that diabetes mellitus is a predictor of post-stroke depression (PSD). However, whether elevated levels of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are associated with an increased risk of PSD remains controversial.

METHODS

We comprehensively searched databases for eligible studies. Standard mean differences and 95% confidence intervals were used to examine the relationship between peripheral blood glucose levels during the acute phase of stroke and the risk of PSD. Narrative syntheses and meta-analyses were conducted when appropriate unadjusted or adjusted ORs were available.

RESULTS

A total of 21 prospective cohort studies were included in the analysis. PSD patients had significantly higher peripheral blood glucose levels than non-PSD patients (FPG: SMD, 0.28, 95% CI, 0.11-0.45, p＜0.01, HbA1c: SMD, 0.49, 95%CI, 0.20-0.78, p＜0.01, respectively). In the subgroup analyses by classifying the time point of depression assessment, HbA1c was more statistically significant associated with the risk of PSD than FPG. Differences in the prevalence of diabetes were not heterogeneity sources.

CONCLUSION

Higher levels of peripheral blood glucose in the acute phase of stroke increase the risk of PSD. HbA1c might be a better biomarker for the risk of PSD than FPG.

Effect of a collaborative care model on anxiety symptoms among patients with depression and diabetes in India: The INDEPENDENT randomized clinical trial

OBJECTIVE

We assessed the impact of a collaborative care intervention on anxiety symptoms among participants in India with comorbid depression, poorly controlled diabetes, and moderate to severe anxiety symptoms.

METHOD

We analyzed data from a randomized controlled trial conducted at four diabetes clinics in India. Participants received either collaborative care or usual care. We included only participants who scored ⩾10 on the Generalized Anxiety Disorder-7 (GAD-7) at baseline. We estimated the effect of the intervention on clinically significant reduction in anxiety symptoms; we considered several potential baseline moderators and mediation by anti-depressant use.

RESULTS

One hundred and seventy-two participants scored 10 or above on the GAD-7 at baseline. Collaborative care participants were more likely than control participants to achieve a clinically significant reduction in anxiety symptoms at 6 and 12 months (65.7% vs. 41.4% at 12 months, p = 0.002); these differences were not sustained at 18 or 24 months. There was little evidence of moderation by participant characteristics at baseline, and effects were not mediated by anti-depressant use.

CONCLUSIONS

Collaborative care for the treatment of depression and type 2 diabetes can lead to clinically significant reductions in anxiety symptoms among patients with anxiety. Effects were notable during the active intervention period but not over the year post-intervention.

Impact of prediabetes education program on Knowledge, attitude and practice among prediabetic population of south India

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A Prediabetes prevalence of 10.5% alarms the need for prediabetes management programs.

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KAP-PAQ was found to be an efficient tool to conduct KAP survey among prediabetes.

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Implementation of Prediabetes Education Program increased the self management skills among the prediabetes.

Education plays a vital role not only in the management of diabetes but also for the effective prevention of diabetes and its complications. Prediabetes awareness and knowledge is grossly inadequate in India and massive prediabetic screening and management programs are urgently needed. This study was an initiative to conduct education program among the prediabetic subjects after assessment of their knowledge attitude and practice using a newly developed and validated prediabetes questionnaire. A total of 308 prediabetic participants were recruited through prediabetes screening camps conducted in the selected districts of Kerala and Tamilnadu. A newly developed and validated KAP-PAQ Questionnaire was used to analyze the Knowledge Attitude and Practice among the prediabetic population. The impact of Prediabetes Education Program was assessed by administration of questionnaire before and after PEP with an interval period of 30 days. Baseline assessment of knowledge among prediabetics shown that 90% had poor knowledge but after PEP program 43% had average knowledge and 44% could score good knowledge. Baseline assessment of attitude exhibited 30% with negative attitude but after counseling 68% shown positive attitude. Regarding practice assessment 35% had very poor and 52% shown poor practice but after PEP 71% shown good practice and 15% shown very good practice. Baseline KAP survey shows the need for health literacy among the newly diagnosed prediabetics. Prediabetes education program could bring significant improvement in knowledge attitude and practice and KAP-PAQ was found to be an efficient tool to conduct survey among the newly diagnosed prediabetics of south India.

Depressive symptoms in Chinese adults with risk factors for diabetes: the Shanghai High-Risk Diabetic Screen (SHiDS) study

AIMS

To evaluate the relationship between newly diagnosed diabetes or prediabetes and depressive symptoms among individuals with risk factors for diabetes in China. We also investigated the associations of depressive symptoms with pancreatic β-cell function and insulin resistance.

METHODS

We used cross-sectional data from the Shanghai High-Risk Diabetic Screen (SHiDS) project. Between 2014 and 2017, a total of 1728 participants were enrolled in this study and underwent an oral glucose tolerance test to screen for diabetes and prediabetes. Insulin resistance was evaluated using the homeostatic model assessment of insulin resistance and the modified Matsuda index. Pancreatic β-cell function was calculated using the homeostatic model assessment of β-cell function, Stumvoll first- and second-phase indexes. Elevated depressive symptoms were determined using the Patient Health Questionnaire-9 (PHQ-9 score ≥ 10).

RESULTS

The prevalence of elevated depressive symptoms in the total study population was 4.8% (83 of 1728). Compared with the normal glucose tolerance group, individuals with newly diagnosed diabetes were less likely to have elevated depressive symptoms even after controlling for potential confounders [adjusted odds ratio (OR) 0.35, 95% confidence interval (CI) 0.18-0.68; P = 0.002]. However, prediabetes was not associated with depressive symptoms. The odds for elevated depressive symptoms were increased in individuals with higher levels of the Stumvoll first-phase index. No association was observed between depressive symptoms and insulin resistance.

CONCLUSION

Elevated depressive symptoms were less prevalent in Chinese individuals with newly diagnosed diabetes among a high-risk population for diabetes.

Burden of depression and anxiety among leprosy affected and associated factors-A cross sectional study from India

BACKGROUND

Leprosy is a Neglected Tropical Diseases (NTDs) known to cause stigma and discrimination in low-and middle-income countries. It often results in visible impairments, thus pre-disposing to poor mental health. Aim of the study was to estimate the prevalence of depression and anxiety among people affected by Leprosy and to determine the associated factors.

METHODOLOGY/PRINCIPAL FINDINGS

A multi-centric, cross-sectional study was carried out in four leprosy endemic states of India-Chhattisgarh, Maharashtra, West Bengal and Tamil Nadu in randomly selected blocks (a sub-unit of district), from one district in each state. From selected blocks those registered for leprosy treatment at public health or referral centres, people above the age of 18 years were interviewed with PHQ-9 and GAD-7 questionnaires for Depression and Anxiety, respectively. Disease profile like leprosy classification, deformity grade, number and site of the patches and socio-economic status were collected along with individual data. Of the total 220 respondents, prevalence of depression and anxiety symptoms was, 33% (73) and 19% (42), respectively. Presence of disability (47%) and Female gender (46%) were significantly associated with depression. Presence of disability (32%), Lower income group (27%) and low education (22%) were significantly associated with symptoms of anxiety. As the severity of disability increased, risk of developing depression and anxiety increased.

CONCLUSION

The study indicates that more than 30% of people affected by leprosy have mental health problems, which emphasizes the importance of mental health care services in leprosy. Women, those who had lower level of education, those belonging to lower socio-economic status and those with any level of disability due to leprosy are at risk of developing depression and/or anxiety. The study concludes more attention to be paid to the categories identified to be at risk.

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.

Altered circulatory levels of miR-128, BDNF, cortisol and shortened telomeres in patients with type 2 diabetes and depression

AIMS

Several studies have reported the role of biomarkers either in diabetes or depression. The present study is aimed at profiling the circulating levels of miR-128, brain-derived neurotrophic factor (BDNF), cortisol and telomere length in patients with type 2 diabetes with and without depression compared to individuals with normal glucose tolerance.

METHODS

Study subjects (n = 160) were recruited from an ongoing epidemiological study in southern India. Non-diabetic and diabetic individuals were diagnosed as per the World Health Organization criteria. Depression score was derived using PHQ-12 questionnaire. Real-time quantitative PCR and ELISA methodologies were used to quantify the biomarkers.

RESULTS

Circulatory levels of miR-128 and cortisol were significantly (p < 0.05) increased with decreased BDNF levels and shortened telomeres in T2DM patients with or without depression compared to NGT individuals. T2DM patients with depression had the highest levels of miR-128 and cortisol and lowest levels of BDNF and telomere length compared to other groups. Pearson correlation analysis showed miR-128 levels were negatively associated with BDNF, telomere length and HDL cholesterol and positively correlated with cortisol, depression score, poor glycemic control and insulin resistance. Regression analysis confirmed that miR-128 was significantly associated with depression score even after adjusted for several confounding factors. However, this association was lost when adjusted for cortisol or telomere length.

CONCLUSIONS

Patients with type 2 diabetes and depression exhibited increased circulatory levels of miR-128 and serum cortisol and decreased levels of BDNF and shortened telomeres. These neuroendocrine signatures were more markedly altered in those with combined diabetes and depression.

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.

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.

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.

Prevalence and pattern of co morbidity among type2 diabetics attending urban primary healthcare centers at Bhubaneswar (India)

OBJECTIVE

India has the second largest diabetic population in the world. The chronic nature of the disease and high prevalence of co-existing chronic medical conditions or "co morbidities" makes diabetes management complex for the patient and for health care providers. Hence a strong need was felt to explore the problem of co morbidity among diabetics and its dimensions in primary health care practices.

METHOD

This cross sectional survey was carried out on 912 type 2 diabetes patients attending different urban primary health care facilities at Bhubaneswar. Data regarding existence of co morbidity and demographical details were elicited by a predesigned, pretested questionnaire"Diabetes Co morbidity Evaluation Tool in Primary Care (DCET- PC)". Statistical analyses were done using STATA.

RESULTS

Overall 84% had one ormore than one comorbid condition. The most frequent co morbid conditions were hypertension [62%], acid peptic disease [28%], chronic back ache [22%] and osteoarthritis [21%]. The median number of co morbid conditions among both males and females is 2[IQR = 2]. The range of the number of co morbid conditions was wider among males [0-14] than females [0-6]. The number of co morbidities was highest in the age group > = 60 across both sexes. Most of the male patients below 40 years of age had either single [53%] or three co morbidities [11%] whereas among female patients of the same age group single [40%] or two co morbidities [22%] were more predominantly present. Age was found to be a strong independent predictor for diabetes co morbidity. The odds of having co morbidity among people above poverty line and schedule caste were found to be[OR = 3.50; 95%CI 1.85-6.62]and [OR = 2.46; CI 95%1.16-5.25] respectively. Odds were increased for retired status [OR = 1.21; 95% CI 1.01-3.91] and obesity [OR = 3.96; 95%CI 1.01-15.76].

CONCLUSION

The results show a high prevalence of co morbidities in patients with type 2 diabetes attending urban primary health care facilities. Hypertension, acid peptic disease, chronic back ache and arthritis being the most common, strategies need to be designed taking into account the multiple demands of co morbidities.

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.

Association of depression with pre-diabetes, undiagnosed diabetes, and previously diagnosed diabetes: a meta-analysis

We performed a meta-analysis to analyze the associations of depression with pre-diabetes (PreDM), undiagnosed diabetes (UDM), and previously diagnosed diabetes (PDM), and whether the association was affected by important study characteristics. We searched relevant articles published in PubMed and EMBASE up to August, 2015. Studies reporting cross-sectional associations of depression with PreDM, UDM, or PDM compared with normal glucose metabolism (NGM) were included. Odds ratios (ORs) were pooled with random-effect and fixed-effect models. Subgroup analyses by sex, study mean age, different degrees of adjustment, publication year, quality score, and depression assessment scales were also performed. Twenty studies were eligible and included in current analysis. Summary estimates showed that compared with NGM individuals, prevalence of depression was moderately increased in PreDM (random-effect odds ratio (OR) 1.11, 95 % confidence interval (CI) 1.03-1.19) and UDM (OR 1.27, 95 % CI 1.02-1.59), and markedly increased in PDM (OR 1.80, 95 % CI 1.40-2.31). Subgroup analyses showed that the positive association remained only among studies with mean age <60 years old but not among those with mean age ≥60 years old. Summary estimates of ORs with cardiovascular disease adjustment substantially attenuated the association. Our findings suggested that risk of prevalent depression was gradually increased with the deterioration of glucose metabolism among younger age groups but not among older age groups. Comorbid cardiovascular diseases might be an important intermediate factor underlying the association between depression and diabetes.

Associations of depression with impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes in Chinese adults

AIM

To examine the association between depression and impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes in middle-aged and elderly Chinese people, and whether depression was associated with different treatment regimens or durations of diabetes.

METHODS

A cross-sectional study was performed among 229,047 adults living in the community aged ≥ 40 years from 25 centres in China. The self-reported depression rating scale Patient Health Questionnaire 9 (PHQ-9) was used to diagnose probable and sub-threshold depression. Glucose metabolism status was determined according to World Health Organization 1999 diagnostic criteria.

RESULTS

The numbers of participants with normal glucose regulation, impaired glucose regulation, newly diagnosed diabetes and previously diagnosed diabetes were 120,458, 59,512, 24,826 and 24,251, respectively. The prevalence of sub-threshold depression in the total sample of participants was 4.8% (4.8%, 4.8%, 4.4% and 5.6% from normal glucose regulation to previously diagnosed diabetes, respectively), and the prevalence of probable depression was 1.1% (1.1%, 1.0%, 0.9% and 1.8% from normal glucose regulation to previously diagnosed diabetes, respectively). Compared with participants with normal glucose regulation, those with previously diagnosed diabetes had increased odds of probable depression [odds ratio (OR) = 1.61, 95% confidence interval (CI) 1.39-1.87] and sub-threshold depression (OR = 1.14, 95% CI 1.06-1.24), after adjustment for multiple confounding factors. Newly diagnosed diabetes or impaired glucose regulation was not associated with depression. Among those with previously diagnosed diabetes, insulin treatment was associated with greater odds of depression compared with no treatment or oral anti-diabetic medicine.

CONCLUSION

Previously diagnosed diabetes, but not newly diagnosed diabetes or impaired glucose regulation, was associated with a higher prevalence of depression. Patients receiving insulin were more likely to have depression than those not receiving treatment or being treated with oral anti-diabetic medicine.

Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh

BACKGROUND

Depression and glucose abnormality are increasing in Bangladesh including its rural area. This study was designed to determine the prevalence of depression in an urbanizing rural population of Bangladesh with or without glucose abnormality (including diabetes mellitus [DM], and pre-diabetes which combines impaired fasting glucose and impaired glucose tolerance pre-DM).

METHODS

A total of 2,293 subjects aged ≥20 years were investigated. Sociodemographic and anthropometric details, blood pressure, fasting (fasting plasma glucose) and 2 hours after 75 g plasma glucose (2-hour plasma glucose), were studied. Montgomery-Asberg Depression Rating Scale was used to assess depression.

RESULTS

The overall prevalence of DM was 7.9% and pre-DM was 8.6%. Prevalence of depression was 15.31% (n=351; 95% confidence interval [CI], 1.59 to 1.36) with mean depressive score 17.62±3.49. Female were more likely to have depression (17.16%). The 22.35% of male and 29.46% of female with pre-DM and 26.58% male and 36.27% female with DM had depressive symptoms. There was no significant variation in the mean age of different groups (healthy, depressed and with glucose abnormality). Depression was significantly associated with age, marital status, occupation, high physical activity, and low body mass index. The odds ratio (OR) for depression was significantly increased in patients with glucose abnormality compared with those without pre-DM (OR, 2.49; 95% CI, 1.76 to 3.51; P<0.000) and DM (OR, 3.27; 95% CI, 2.33 to 4.60; P<0.000).

CONCLUSION

Prevalence of depression found alarming in our study area though lesser than previous studies and it is significantly related to glucose abnormality. The study reveals that mental health should get more focused specially along with metabolic diseases.

Association of depression with common carotid artery intima media thickness and augmentation index in a large Urban South Indian population- The Chennai Urban Rural Epidemiology Study (CURES - 138)

AIM

The aim of the study was to assess the relationship of depression with carotid intima media thickness and augmentation index in Asian Indians.

RESEARCH DESIGN AND METHODS

For this study, 1505 subjects were randomly selected from a population based study conducted in Chennai, South India. Right common carotid artery intima medial thickness [IMT] was determined using high-resolution B-mode ultrasonography. Augmentation index [AI] was measured using the Sphygmocor apparatus. Depressive symptoms were assessed using a previously validated instrument, the Patient Health Questionnaire -12 (PHQ -12).

RESULTS

Of the 1505 subjects included in this study, depressive symptoms were present in 16.6% (n = 250) of the subjects. The mean IMT and AI values among subjects with depression were significantly higher than those without depression [0.83 ± 0.43 mm vs 0.73 ± 0.12 mm, P < 0.001] and IMT was higher in females with depression while AI was higher in males with depression. However, both IMT and AI were higher among those with depression in both genders. In multiple logistic regression model, depressive symptoms were associated with IMT even after adjusting for age, gender, body mass index, fasting plasma glucose, serum cholesterol and hypertension (Odds ratio [OR] =2.17, 95% Confidence intervals [CI]:1.01- 4.63, P = 0.047) but in the case of AI, the significance was lost in the adjusted model (OR = 1.01, 95% CI: 0.991-1.02, P = 0.445).

CONCLUSION

Among Asian Indians, presence of depressive symptoms was associated with carotid intima media thickness and Augmentation index, even after adjusting for potential confounders.

Depression and type 2 diabetes: a causal association?

There is a controversy regarding whether depression and type 2 diabetes are causally linked. To assess this issue, we review key findings for the association between depression and diabetes, and its underlying mechanisms. Findings from meta-analyses of cohort studies show a modestly sized bidirectional association between depression and type 2 diabetes (ie, depression predicts diabetes onset and diabetes predicts future depression). However, depression-related biological alterations in the hypothalamic-pituitary-adrenal cortex axis and the sympathetic nervous system, and subclinical inflammation, are not consistently linked with increased diabetes risk. The evidence for an association between depression and glycaemic traits (eg, glucose, insulin, insulin sensitivity, and insulin secretion) is also mixed. Diabetes increases the risk of depression to the same extent as do other chronic disorders (eg, cardiac diseases, osteoarthritis, lung disease, and poor hearing). At present, the available evidence suggests that pathophysiological changes preceding the onset of type 2 diabetes might not cause depression, nor might depression directly increase the risk of developing type 2 diabetes. Despite insufficient robust causal evidence, treating physicians should be aware of the co-occurrence of depression and type 2 diabetes.

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

Eighty percent of people with type 2 diabetes reside in low- and middle-income countries (LMICs). Yet much of the research around depression among people with diabetes has been conducted in high-income countries (HICs). In this systematic review we searched Ovid Medline, PubMed, and PsychINFO for studies that assessed depression among people with type 2 diabetes in LMICs. Our focus on quantitative studies provided a prevalence of comorbid depression among those with diabetes. We reviewed 48 studies from 1,091 references. We found that this research has been conducted primarily in middle-income countries, including India (n = 8), Mexico (n = 8), Brazil (n = 5), and China (n = 5). There was variation in prevalence of comorbid depression across studies, but these differences did not reveal regional differences and seemed to result from study sample (e.g., urban vs rural and clinical vs population-based samples). Fifteen depression inventories were administered across the studies. We concluded that despite substantial diabetes burden in LMICs, few studies have reviewed comorbid depression and diabetes. Our review suggests depression among people with diabetes in LMICs may be higher than in HICs. Evidence from these 48 studies underscores the need for comprehensive mental health care that can be integrated into diabetes care within LMIC health systems.

Stress and diabetes in socioeconomic context: a qualitative study of urban Indians

Type 2 diabetes has escalated in urban India in the past two decades. Historically a disease of the affluent, recent epidemiological evidence indicates rising diabetes incidence and prevalence in urban India's middle class and working poor. Although there is substantial qualitative data about people with diabetes from high-income countries, scant resources provide insight into diabetes experiences among those in India, and lower-income groups specifically. In this article, we use individual-level analysis of illness narratives to understand how people experience and understand diabetes across income groups in Delhi, India. We conducted in-depth qualitative interviews and administered the Hopkins Symptoms Check-List (HSCL-25) to evaluate depression among 59 people with diabetes in northeast Delhi between December 2011 and February 2012. We analyzed their responses to: 1) what caused your diabetes?; 2) what do you find most stressful in your daily life?; and 3) where do you seek diabetes care? We found few people held diabetes beliefs that were congruent with socio-spiritual or biomedical explanatory models, and higher income participants commonly cited "tension" as a contributor to diabetes. Stress associated with children's futures, financial security, and family dynamics were most commonly reported, but how these subjective stresses were realized in people's lives varied across income groups. Depression was most common among the poorest income group (55%) but was also reported among middle- (38%) and high-income (29%) participants. One-quarter of respondents reported diabetes distress, but only those from the low-income community reported co-occurring depression and these respondents often revealed poor access to diabetes care. These data suggest that lower-income populations not only have higher rates of depression but also may be more likely to delay health care and therefore develop diabetes complications. This research has many implications for public health care in India as diabetes prevalence shifts to affect lower income groups who concurrently experience higher rates of depression and poorer access to medical care.

Epidemiology of depression in diabetes: international and cross-cultural issues

INTRODUCTION

This paper reviews the most up-to-date epidemiological evidence of the relationship between depression and diabetes, and considers the risk factors for the development of depression and the consequences of depression in diabetes with an emphasis on international and cross-cultural data. The difficulties that researchers face when epidemiological studies require assessment of psychological phenomena, such as depression, across different cultural settings are explored.

METHODS

Relevant papers were sought on the epidemiology of diabetes and depression in people with diabetes by undertaking a literature search of electronic databases including MEDLINE, Psych-INFO, CINAHL and EMBASE. These papers were assessed by the authors and a narrative review of the relevant literature was composed.

RESULTS

Systematic reviews of the prevalence of depression in people with diabetes have focused on studies conducted in English speaking countries and emerging data suggest that there may be international variations in prevalence and also in how symptoms of depression are reported. There appears to be a bi-directional relationship between depression and diabetes, with one influencing the other; however, research in this area is further complicated by the fact that potential risk factors for depression in people with diabetes often interact with each other and with other factors. Further research is needed to elucidate the causal mechanisms underlying these associations.

LIMITATIONS

Data from non-English speaking countries remain scarce and so it is difficult to come to any firm conclusions as to the international variation in prevalence rates of co-morbid diabetes and depression in these countries until further research has been conducted.

CONCLUSION

It is important to take a culture-centered approach to our understanding of mental health and illness and consider the key issues related to the development of culturally sensitive depression screening tools. In order to come to any firm conclusions about the international variation in prevalence of co-morbid diabetes and depression, issues of culture and diversity must be taken into account prior to conducting international epidemiological studies.

Depression and diabetes in India: perspectives and recommendations

As diabetes prevalence shifts from affluent to lower-income groups in India, focus on depression in diabetes will become essential. This paper describes four perspectives through which depression and diabetes should be understood in the Indian context. We consider (1) how rapid socio-economic and demographic changes contribute to increased co-occurring diabetes and depression; (2) how social, cultural and economic factors in the Indian context contribute to depression and therefore play an important role in diabetes care; (3) biological and behavioural pathways between depression and diabetes; and (4) the role of health systems in depression, diabetes and their overlap. We conclude with recommendations for future research and policy on this topic in India.