Empagliflozin in South Asians with type 2 diabetes: Real world data on effects on cardiometabolic parameters, safety and determinants of response to therapy from a diabetes practice in Sri Lanka.

AIMS: SGLT2 inhibitors provide cardiovascular and renal protection in people with type 2 diabetes (T2DM). Real-world data on their effect on improving glucose and cardiovascular risk factors, and adverse effects in South Asians are limited. METHODS: We retrospectively analyzed clinical, demographic, anthropometric and biochemical data among adults with T2DM, commenced on empagliflozin and followed up for at least one month in a diabetes clinic in Colombo. RESULTS: Among 1523 participants (men 49.6 %, age 54.9 (± 10.8) years, diabetes duration 11.5 (± 7.6) years, body mass index 28.2 (± 4.5 kg/m2), over a median follow up of 12 months (range: 1-24 months), reduction in HbA1c, weight, systolic blood pressure (SBP) and urine albumin-creatinine ratio were evident within the first month. Benefits sustained up to two-years (mean changes from baseline: HbA1c - 0.31 (± 1.49), weight - 1.14 (± 4.17), SBP - 3.44 (± 21.75), UACR - 19.84 (± 108.22) follow up. eGFR declined by the third month, returned to baseline by 12th and remained stable over 24 months. Higher baseline HbA1c, weight and SBP predicted greater decline in HbA1c, weight and SBP respectively. Weight reduction independently predicted the SBP reduction. Eighteen participants per 100 patient-years discontinued therapy due to adverse effects: genital mycotic infections and features of hypovolaemia were the commonest. We observed only two events of diabetic ketoacidosis. CONCLUSIONS: Empagliflozin effectively improves glucose, weight and SBP and retards progression of renal impairment in South Asians with T2D. Genital mycotic infections and hypovolaemia were the commonest reasons for discontinuation. Careful patient selection and advice can avoid other sinister complications.

Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data.

BACKGROUND: The global epidemic of type 2 diabetes mellitus (T2DM) renders its prevention a major public health priority. A key risk factor of diabetes is obesity and poor diets. Food environments have been found to influence people's diets and obesity, positing they may play a role in the prevalence of diabetes. Yet, there is scant evidence on the role they may play in the context of low- and middle-income countries (LMICs). We examined the associations of food environments on T2DM among adults and its heterogeneity by income and sex. METHODS AND FINDINGS: We linked individual health outcome data of 12,167 individuals from a network of health surveillance sites (the South Asia Biobank) to the density and proximity of food outlets geolocated around their homes from environment mapping survey data collected between 2018 and 2020 in Bangladesh and Sri Lanka. Density was defined as share of food outlets within 300 m from study participant's home, and proximity was defined as having at least 1 outlet within 100 m from home. The outcome variables include fasting blood glucose level, high blood glucose, and self-reported diagnosed diabetes. Control variables included demographics, socioeconomic status (SES), health status, healthcare utilization, and physical activities. Data were analyzed in ArcMap 10.3 and STATA 15.1. A higher share of fast-food restaurants (FFR) was associated with a 9.21 mg/dl blood glucose increase (95% CI: 0.17, 18.24; p < 0.05). Having at least 1 FFR in the proximity was associated with 2.14 mg/dl blood glucose increase (CI: 0.55, 3.72; p < 0.01). A 1% increase in the share of FFR near an individual's home was associated with 8% increase in the probability of being clinically diagnosed as a diabetic (average marginal effects (AMEs): 0.08; CI: 0.02, 0.14; p < 0.05). Having at least 1 FFR near home was associated with 16% (odds ratio [OR]: 1.16; CI: 1.01, 1.33; p < 0.05) and 19% (OR: 1.19; CI: 1.03, 1.38; p < 0.05) increases in the odds of higher blood glucose levels and diagnosed diabetes, respectively. The positive association between FFR density and blood glucose level was stronger among women than men, but the association between FFR proximity and blood glucose level was stronger among men as well as among those with higher incomes. One of the study's key limitations is that we measured exposure to food environments around residency geolocation; however, participants may source their meals elsewhere. CONCLUSIONS: Our results suggest that the exposure to fast-food outlets may have a detrimental impact on the risk of T2DM, especially among females and higher-income earners. Policies should target changes in the food environments to promote better diets and prevent T2DM.

Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities.

INTRODUCTION: In low-middle income countries (LMICs) the role of food environments on obesity has been understudied. We address this gap by 1) examining the effect of food environments on adults' body size (BMI, waist circumference) and obesity; 2) measuring the heterogeneity of such effects by income and sex. METHODS: This cross-sectional study analysed South Asia Biobank surveillance and environment mapping data for 12,167 adults collected between 2018 and 2020 from 33 surveillance sites in Bangladesh and Sri Lanka. Individual-level data (demographic, socio-economic, and health characteristics) were combined with exposure to healthy and unhealthy food environments measured with geolocations of food outlets (obtained through ground-truth surveys) within 300 m buffer zones around participants' homes. Multivariate regression models were used to assess association of exposure to healthy and unhealthy food environments on waist circumference, BMI, and probability of obesity for the total sample and stratified by sex and income. FINDINGS: The presence of a higher share of supermarkets in the neighbourhood was associated with a reduction in body size (BMI, ß = - 3∙23; p < 0∙0001, and waist circumference, ß = -5∙99; p = 0∙0212) and obesity (Average Marginal Effect (AME): -0∙18; p = 0∙0009). High share of fast-food restaurants in the neighbourhood was not significantly associated with body size, but it significantly increased the probability of obesity measured by BMI (AME: 0∙09; p = 0∙0234) and waist circumference (AME: 0∙21; p = 0∙0021). These effects were stronger among females and low-income individuals. INTERPRETATION: The results suggest the availability of fast-food outlets influences obesity, especially among female and lower-income groups. The availability of supermarkets is associated with reduced body size and obesity, but their effects do not outweigh the role of fast-food outlets. Policies should target food environments to promote better diets and reduce obesity.

Impact of COVID-19 lockdown on people living with diabetes: Experience from a low-middle income country in South Asia.

AIMS: COVID-19 lockdown imposes many challenges to patients with diabetes. We aimed to assess the impact of COVID-19 lockdown on health-related behavior and disease control among patients with diabetes. MATERIALS AND METHODS: A cross-sectional study was conducted among adults with diabetes attending a diabetes clinic in Colombo, Sri Lanka in June-July 2020. Lifestyle and disease control changes before and during the lockdown, were determined using an interviewer-administered questionnaire and review of medical records. RESULTS: Among 1727 participants mean HbA1c decreased by 0.30% (95% CI 0.24-0.36, p < 0.001). HbA1c improved in 37.6% but deteriorated in 18.8%. Male sex (OR 1.36, 95% CI 1.10-1.67), better education (OR 1.10, 95% CI 1.01-1.20) and being employed (OR 1.08, 95% CI 1.00-1.16) were sociodemographic predictors of improved control. Better dietary adherence (OR 1.55, 95% CI 1.13-2.12), night-time sleep (OR 1.46, 95% CI 1.13-1.88) and indoor exercise (OR 1.62, 95% CI 1.23-2.07) were behavioural determinants of improved glycaemia. Decreases in self-monitoring of blood glucose (OR 1.45, 95% CI 1.09-1.93), exercise (OR 1.7, 95% CI 1.32-2.20), medication use (OR 1.95, 95% CI 1.37-2.78), dietary adherence (OR 1.72, 95% CI 1.32-2.26) and family income (OR 1.45, 95% CI 1.12-1.88) predicted worsening glycaemia. Only 4.1% used telehealth services; 83.1% of them reported good satisfaction. CONCLUSIONS: Mean HbA1c improved during the lockdown. Overall, 37.6% of participants improved their glycaemic control. Well-educated employed men were more likely to improve glycaemic status. Improving diabetes control through healthy lifestyle practices and self-monitoring are feasible even in resource limited settings.

Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme.

BACKGROUND: South Asia has become a major epicentre of the COVID-19 pandemic. Understanding South Asians' awareness, attitudes and experiences of early measures for the prevention of COVID-19 is key to improving the effectiveness and mitigating the social and economic impacts of pandemic responses at a critical time for the Region. METHODS: We assessed the knowledge, behaviours, health and socio-economic circumstances of 29,809 adult men and women, at 93 locations across four South Asian countries. Data were collected during the national lockdowns implemented from March to July 2020, and compared with data collected prior to the pandemic as part of an ongoing prospective surveillance initiative. RESULTS: Participants were 61% female, mean age 45.1 years. Almost half had one or more chronic disease, including diabetes (16%), hypertension (23%) or obesity (16%). Knowledge of the primary COVID-19 symptoms and transmission routes was high, but access to hygiene and personal protection resources was low (running water 63%, hand sanitisers 53%, paper tissues 48%). Key preventive measures were not widely adopted. Knowledge, access to, and uptake of COVID-19 prevention measures were low amongst people from disadvantaged socio-economic groups. Fifteen percent of people receiving treatment for chronic diseases reported loss of access to long-term medications; 40% reported symptoms suggestive of anxiety or depression. The prevalence of unemployment rose from 9.3% to 39.4% (P < 0.001), and household income fell by 52% (P < 0.001) during the lockdown. Younger people and those from less affluent socio-economic groups were most severely impacted. Sedentary time increased by 32% and inadequate fruit and vegetable intake increased by 10% (P < 0.001 for both), while tobacco and alcohol consumption dropped by 41% and 80%, respectively (P < 0.001), during the lockdown. CONCLUSIONS: Our results identified important knowledge, access and uptake barriers to the prevention of COVID-19 in South Asia, and demonstrated major adverse impacts of the pandemic on chronic disease treatment, mental health, health-related behaviours, employment and household finances. We found important sociodemographic differences for impact, suggesting a widening of existing inequalities. Our findings underscore the need for immediate large-scale action to close gaps in knowledge and access to essential resources for prevention, along with measures to safeguard economic production and mitigate socio-economic impacts on the young and the poor.