Depression and diabetes in India: perspectives and recommendations

A mediation analysis evaluating change in self-stigma on diabetes outcomes among people with depression in urban India: A secondary analysis from the INDEPENDENT trial of the collaborative care model

Self-stigma-the internalization of negative community attitudes and beliefs about a disease or condition-represents an important barrier to improving patient care outcomes for people living with common mental disorders and diabetes. Integrated behavioral healthcare interventions are recognized as evidence-based approaches to improve access to behavioral healthcare and for improving patient outcomes, including for those with comorbid diabetes, yet their impact on addressing self-stigma remains unclear. Using secondary data from the Integrating Depression and Diabetes Treatment (INDEPENDENT) study-a trial that aimed to improve diabetes outcomes for people with undertreated and comorbid depression in four urban Indian cities via the Collaborative Care Model-we longitudinally analyzed self-stigma scores and evaluated whether change in total self-stigma scores on diabetes outcomes is mediated by depressive symptom severity. Self-stigma scores did not differ longitudinally comparing Collaborative Care Model participants to enhanced standard-of-care participants (mean monthly rate of change in Self-Stigma Scale for Chronic Illness-4 Item scores; B = 0.0087; 95% CI: -0.0018, 0.019, P = .10). Decreases in total self-stigma scores over 12 months predicted diabetes outcomes at 12 months (HbA1c, total effect; B = 0.070 95%CI: 0.0032, 0.14; P < .05), however depressive symptoms did not mediate this relationship (average direct effect; B = 0.064; 95% CI: -0.0043, 0.13, P = .069). Considering the local and plural notions of stigma in India, further research is needed on culturally grounded approaches to measure and address stigma in India, and on the role of integrated care delivery models alongside multi-level stigma reduction interventions. Trial registration : ClinicalTrials.gov, NCT02022111. https://clinicaltrials.gov/study/NCT02022111.

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.

The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India

Evidence suggests that diabetes is on the rise in India, affecting many people's life satisfaction. Comprehensive estimation of life satisfaction among diabetes patients does not exist in the country. This study examined the effects of socioeconomic status, depression, and diabetes symptoms severity on the life satisfaction of diabetes patients by controlling various demographic variables. It was a cross-sectional study comprising 583 diabetes patients from Punjab, India. Patients were interviewed using a multi-stage purposeful random sampling method. Descriptive analysis and partial least squares structural equation modelling were used in the study to test the hypotheses. Results revealed that socioeconomic status, depression and diabetes symptoms severity significantly influence the life satisfaction of diabetes patients. A 1% drop in diabetes symptoms severity corresponds to a 0.849% increase in life satisfaction, whereas a 1% decrease in depression results in a 0.898% increase in life satisfaction. Patients with higher diabetes symptoms severity were coping with common mental disorders. Women reported higher diabetes symptoms severity and depression than men, resulting in lower life satisfaction. An experimental evaluation of the effects of socioeconomic status, depression and diabetes symptoms severity, and numerous demographic factors on life satisfaction was reported. The findings will help policymakers understand the problem associated with life satisfaction among diabetes patients in the country.

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

AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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 syndemic of violence victimisation, drug use, frequent alcohol use, and HIV transmission risk behaviour among men who have sex with men: Cross-sectional, population-based study in India

The theory of syndemics has been used to explain elevated HIV risk facing men who have sex with men (MSM). However, few studies have employed suitable analytical methods to test this theory. Using data from a probability-based sample of MSM in India, we tested three proposed models linking the co-occurring epidemics of violence victimisation, drug use, and frequent alcohol use to HIV risk: 1) the syndemic model of synergistically interacting epidemics; 2) the "chains of risk" model; and 3) the model of mutually causal epidemics. The primary outcome was inconsistent condom use with male or hijra (transgender women) partners in the past month. For the syndemic model, we included product terms between the exposures and assessed for interaction on the additive (linear probability regression) and multiplicative (logistic regression) scales. Path analysis was used to test the models of serially causal epidemics and mutually causal epidemics. Among 22,297 HIV-negative MSM, violence victimisation (24.7%), frequent alcohol use (27.5%), and drug use (10.9%) frequently co-occurred. We found evidence for a three-way interaction between violence victimisation, drug use and frequent alcohol use on both the multiplicative (semi-elasticity = 0.28; 95% CI 0.10, 0.47) and additive (b = 0.14; 95% CI 0.01, .27) scales. We also estimated statistically significant two-way interactions between violence victimisation and frequent alcohol use on the multiplicative (semi-elasticity = .10; 95% CI 0.008, 0.20) and additive (b = 0.05, 95% CI 0.002, 0.107) scales, and between drug use and frequent alcohol use on the multiplicative (semi-elasticity = 0.13, 95% CI 0.02, 0.24) and additive (b = 0.06, 95% CI 0.007, 0.129) scales. Thus, we found strong evidence for the syndemic model. The models of serially causal and mutually causal epidemics were partially supported. These findings highlight the need to sharpen how syndemic models are specified so that their empirical predictions can be adequately tested and distinguished from other theories of disease distribution.

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.