Prevalence of vitamin B12 deficiency among individuals with type 2 diabetes mellitus in a South Indian rural community

Background: To estimate the prevalence of vitamin B12 deficiency in a rural south Indian community and to evaluate the association between metformin use and prevalent vitamin B12 deficiency in people with T2DM stratified by oral vitamin B12 supplementation.Methods: Using a cross sectional study design, a random sample of people with T2DM (N=438) was recruited from a rural community. Vitamin B12 deficiency was defined as serum B12 ≤200pg/ml. Data on metformin dose, duration of use, oral vitamin B12 supplementation, and diet were collected. Laboratory measurements included complete blood count, tests for hepatic, renal, and thyroid function, as well as serum vitamin B12 levels and HbA1c.Results: The prevalence of vitamin B12 deficiency in people with T2DM was 11.2% (95% Confidence Interval (CI) 8.2%-14.1%). The odds of vitamin B12 deficiency in patients receiving a metformin dose of 2 grams/day were 4 times higher compared to those receiving ≤1 gram/day, after adjusting for oral B12 supplementation (odds ratio 4.2;95% CI 1.5-11.8). The odds of vitamin B12 deficiency in those taking metformin and receiving oral vitamin B12 supplementation were lower compared to those on metformin and not receiving vitamin B12 supplementation (adjusted odds ratio 0.20; 95% CI 0.06-0.70).Conclusions: Vitamin B12 deficiency affects 1 in 10 people with T2DM, is associated with higher dose metformin use, and oral vitamin B12 supplementation mitigates B12 deficiency in this group

Diabetes, cardiovascular disease, and chronic kidney disease in South Asia: current status and future directions

No abstract available

Normalizing diabetes in Delhi: a qualitative study of health and health care

The Type 2 diabetes epidemic in India poses challenges to the health system. Yet little is known about how urban Indians view treatment and self-care. Such views are important within the pluralistic healthcare landscape of India, bringing together allopathic and non-allopathic (or traditional) paradigms and practices. We used in-depth qualitative interviews to examine how people living with diabetes in India selectively engage with allopathic and non-allopathic Indian care paradigms. We propose a ‘discourse marketplace’ model that demonstrates competing ways in which people frame diabetes care-seeking in India's medical pluralism, which includes allopathic and traditional systems of care. Four major domains emerged from grounded theory analysis: (1) normalization of diabetes in social interactions; (2) stigma; (3) stress; and (4) decision-making with regard to diabetes treatment. We found that participants selectively engaged with aspects of allopathic and non-allopathic Indian illness paradigms to build personalized illness meanings and care plans that served psychological, physical, and social needs. Participants constructed illness narratives that emphasized the social-communal experience of diabetes and, as a result, reported less stigma and stress due to diabetes. These data suggest that the pro-social construction of diabetes in India is both helpful and harmful for patients – it provides psychological comfort, but also lessens the impetus for prevention and self-care. Clarifying the social constructions of diabetes and chronic disease in India and other medically pluralistic contexts is a crucial first step to designing locally situated treatment schemes

Park availability and major depression in individuals with chronic conditions: Is there an association in urban India?

Green space exposure has been positively correlated with better mental-health indicators in several high income countries, but has not been examined in low- and middle-income countries undergoing rapid urbanization. Building on a study of mental health in adults with a pre-existing chronic condition, we examined the association between park availability and major depression among 1208 adults surveyed in Delhi, India. Major depression was measured using the Mini International Neuropsychiatric Interview. The ArcGIS platform was used to quantify park availability indexed as (i) park distance from households, (ii) area of the nearest park; and within one km buffer area around households - the (iii) number and (iv) total area of all parks. Mixed-effects logistic regression models adjusted for socio-demographic characteristics indicated that relative to residents exposed to the largest nearest park areas (tertile 3), the odds [95% confidence interval] of major depression was 3.1 [1.4-7.0] times higher among residents exposed to the smallest nearest park areas (tertile 1) and 2.1 [0.9-4.8] times higher in residents with mid-level exposure (tertile 2). There was no statistically significant association between other park variables tested and major depression. We hypothesized that physical activity in the form of walking, perceived stress levels and satisfaction with the neighborhood environment may have mediating effects on the association between nearest park area and major depression. We found no significant mediation effects for any of our hypothesized variables. In conclusion, our results provide preliminary and novel evidence from India that availability of large parks in the immediate neighborhood positively impacts mental well-being of individuals with pre-existing chronic conditions, at the opportune time when India is embarking on the development of sustainable cities that aim to promote health through smart urban design - one of the key elements of which is the inclusion of urban green spaces

Early detection of chronic kidney disease in low-income and middle-income countries: development and validation of a point-of-care screening strategy for India.

INTRODUCTION: Although deaths due to chronic kidney disease (CKD) have doubled over the past two decades, few data exist to inform screening strategies for early detection of CKD in low-income and middle-income countries. METHODS: Using data from three population-based surveys in India, we developed a prediction model to identify a target population that could benefit from further CKD testing, after an initial screening implemented during home health visits. Using data from one urban survey (n=8698), we applied stepwise logistic regression to test three models: one comprised of demographics, self-reported medical history, anthropometry and point-of-care (urine dipstick or capillary glucose) tests; one with demographics and self-reported medical history and one with anthropometry and point-of-care tests. The 'gold-standard' definition of CKD was an estimated glomerular filtration rate <60 mL/min/1.73 m2 or urine albumin-to-creatinine ratio ≥30 mg/g. Models were internally validated via bootstrap. The most parsimonious model with comparable performance was externally validated on distinct urban (n=5365) and rural (n=6173) Indian cohorts. RESULTS: A model with age, sex, waist circumference, body mass index and urine dipstick had a c-statistic of 0.76 (95% CI 0.75 to 0.78) for predicting need for further CKD testing, with external validation c-statistics of 0.74 and 0.70 in the urban and rural cohorts, respectively. At a probability cut-point of 0.09, sensitivity was 71% (95% CI 68% to 74%) and specificity was 70% (95% CI 69% to 71%). The model captured 71% of persons with CKD and 90% of persons at highest risk of complications from untreated CKD (ie, CKD stage 3A2 and above). CONCLUSION: A point-of-care CKD screening strategy using three simple measures can accurately identify high-risk persons who require confirmatory kidney function testing

Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: The CARRS study

Objective: To estimate average annual expenditures per person, total economic burden and distress health financing associated with the treatment of five cardio-metabolic diseases (CMDs-hypertension, diabetes, heart disease (angina, myocardial infarction and heart failure), stroke and chronic kidney disease) in three metropolitan cities in South Asia.Design: Cross-sectional surveys.Setting: We analysed community-based baseline data from the Centre for cArdio-metabolic Risk Reduction in South Asia (CARRS) Study collected in 2010-2011 representing Chennai and New Delhi (India), and Karachi (Pakistan).Participants: We used data from non-pregnant adults (≥20 years) from the aforementioned cities that responded to a cost-of-illness questionnaire. We estimated health utilisation and expenditures among those reporting taking treatment(s) for the aforementioned CMDs in the last 1 year. We converted all costs to International Dollars (Int$2011) and inflated to 2018 values. The annual costs per person were stratified by city, sociodemographic characteristics, contributor of costs and financing methods. The total economic burden of CMDs for each city was projected using age-standardised prevalence and per-person costs of diseases reported in CARRS, applying these to population data from the most recent census. We also calculated distress financing (DF) as having to borrow or sell assets to pay for CMD treatment and identified sociodemographic groups at most risk of DF using multiple regression.Results: Of 16 287 CARRS participants, 2883 (17.7$358 to Int$2425. Medications constituted 46$0.42 billion, Int$3.4 billion and Int$1.4 billion in Chennai, New Delhi and Karachi, respectively. Overall, 36.1% experienced DF, and women (OR=4.4), unemployed (OR=10.7) and uninsured (OR=8.1) adults experienced higher odds of DF.Conclusion: CMDs are associated with large economic burdens in South Asia. Due to most payments coming from OOP expenditures and limited insurance, the odds of DF are high

Association between poor oral health and diabetes among Indian adult population: potential for integration with NCDs.

BACKGROUND: Studies in high-income countries have reported associations between oral health and diabetes. There is however a lack of evidence on this association from low and middle-income countries, especially India. The current study aimed to assess the prevalence of common oral diseases and their association with diabetes. METHODS: This cross-sectional study was nested within the second Cardiometabolic Risk Reduction in South Asia Surveillance Study. A subset of study participants residing in Delhi were administered the World Health Organization's Oral Health Assessment Questionnaire and underwent oral examination for caries experience and periodontal health assessment using standard indices. Diabetes status was ascertained by fasting blood glucose, glycosylated hemoglobin values or self-reported medication use. Information was captured on co-variates of interest. The association between oral health and diabetes was investigated using Multivariable Zero-Inflated Poisson (ZIP) regression analysis. RESULTS: Out of 2045 participants, 47% were women and the mean age of study participants was 42.17 (12.8) years. The age-standardised prevalence (95% confidence interval) estimates were 78.9% (75.6-81.7) for dental caries, 35.9% (32.3-39.6) for periodontitis. Nearly 85% participants suffered from at least one oral disease. Compared to diabetes-free counterparts, participants with diabetes had more severe caries experience [Mean Count Ratio (MCR)?=?1.07 (1.03-1.12)] and attachment loss [MCR?=?1.10 (1.04-1.17)]. Also, the adjusted prevalence of periodontitis was significantly higher among participants with diabetes [42.3%(40.0-45.0)] compared to those without diabetes [31.3%(30.3-32.2)]. CONCLUSION: We found that eight out of ten participants in urban Delhi suffered from some form of oral disease and participants with diabetes had worse oral health. This highlights the need for public health strategies to integrate oral health within the existing Non-Communicable Disease control programs