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Ishtiaq Ahmad,1 Myo Nyein Aung,2 Satomi Ueno,1 Ei Thinzar Khin,1 Tint Swe Latt,3 Saiyud Moolphate,4 Motoyuki Yuasa1,5 1Department of Public Health, Graduate School of Medicine, Juntendo University, Tokyo, Japan; 2Advanced Research Institute for Health Sciences and Faculty of International Liberal Arts, Juntendo University, Tokyo, Japan; 3Myanmar Diabetes Association (MMDA), Yangon, Myanmar; 4Department of Public Health, Chiang Mai Rajabhat University, Chiang Mai, Thailand; 5Faculty of International Liberal Arts, Juntendo University, Tokyo, JapanCorrespondence: Myo Nyein AungAdvanced Research Institute for Health Sciences and Faculty of International Liberal Arts, Juntendo University, Bunkyo City, Hongo, 2 Chome-1-1, Tokyo, 〒113-8421, JapanTel +813-3813-3111Email myo@juntendo.ac.jpBackground: Despite the evidence that physical activity (PA) can prevent type 2 diabetes mellitus (T2DM), limited research investigated the level of PA among diabetes and non-diabetes in Myanmar, where there is the escalating prevalence of diabetes recently. We investigated PA as modified the risk of diabetes, in a case-control study.Methods: We conducted a case-control study which included 150 cases and 150 controls age 25– 74 years (Mean age 43.3± 14.7 years) among the cases and (55.1± 10.9 years) among the controls, both sex and residence in Yangon. Cases were newly diagnosed with T2DM within six months before data collection, with laboratory-confirmed fasting blood glucose level ≥ 126mg/dl. Controls were community residents, without diabetes, confirmed with a laboratory test. The IPAQ-S was used to assess the PA level. Multiple logistic regression analysis was applied in STATA 15, using the interaction terms for age and PA, adjusting age, sex and BMI.Results: In comparison to controls, cases were older and having less PA knowledge. The levels of vigorous PA were mean 254.9±standard deviations (SD) 845.6 METsmin.wk− 1 among controls, 73.06± 392.1 cases, moderate PA 631.5± 1240.8 METsmin.wk− 1 among controls and 1050.9± 1601.6 cases and walking PA 569.8± 1060 METsmin.wk− 1 among controls and 777.4± 1249 cases, respectively. The multiple logistic regression analysis showed adjusted odds ratios (aOR) 3.84, 95% confidence interval (CI) 1.18– 12.42 (P< 0.05) for those aged 40 and older, with moderate PA and aOR 18.01, Cl 6.45– 50.26 (P< 0.001) for those aged 40 and older, with low PA. Comparing the strength of association, the risk of T2DM among people aged 40 and older with moderate PA is lower than age over 40 with low PA.Conclusion: PA lessened the risk of T2DM, posted by increasing age. The findings highlighted the importance of promoting PA to reduce the T2DM prevalence in the context of Yangon, Myanmar, a low- and middle-income Asian country.Keywords: METs, effect modification, non-communicable disease; risk of diabetes, global health, public health

Globally, 67% of the population has received at least one COVID-19 vaccine dose, but coverage varies across countries. This study aimed to compare people’s willingness to receive COVID-19 vaccination across Thailand, Indonesia, Philippines, and Vietnam, where vaccination intention tends to be high, to determine factors associated with willingness, and to obtain suggestions for developing strategies. We conducted a secondary data analysis of the Japan International Cooperation Agency survey “Building Resilience: COVID-19 Impact and Responses in Urban Areas—Case of Southeast Asia,” including1842 unvaccinated participants from Thailand (n = 461), Indonesia (n = 246), the Philippines (n = 609), and Vietnam (n = 526). Vaccination willingness was high in all countries (69.6%), but the social and psychological factors motivating people to undergo vaccination differed among these countries. The highest vaccination willingness was in the Philippines, followed by Vietnam and Indonesia, whereas the lowest vaccination willingness was in Thailand. Vaccination willingness was affected by not only sociodemographic attributes, but also risk perception and beliefs, which, in turn, were shaped by social factors such as infection trends and vaccine policies. To achieve effective vaccination promotion programs, a system allowing the flexible modification of promotion methods in response to social conditions must be established.

According to the National Survey of Diabetes and Its Risk Factors conducted in 2014, Myanmar has a high burden of diabetes, as the prevalence of diabetes in adult population was 10.5% and the estimated number of adults with diabetes was 2.5 million. Diabetes care in the country is still far from satisfaction, as more than 50% of people with diabetes were unaware of their diagnosis, and access to the comprehensive diabetes care is generally available in the big cities only. Moreover, most people have to pay the cost of health care out of their own pocket, as the health insurance system and social security system are currently in their rudimentary stage. Because of these gaps in diabetes care and health financing system, a significant number of people resort to the traditional medicine, which is familiar to a significant proportion of the public and also being relatively more accessible with affordable cost. This article assesses the current situation of traditional medicine in diabetes care in Myanmar and attempts to make some suggestions to remedy the drawbacks of traditional medicine. It discusses ways to adopt an integrated approach to strengthen the practice of traditional medicine, in general, in the health care system of the country regarding the diabetes care.

In Myanmar, the escalating prevalence of type 2 diabetes mellitus (T2DM) and impaired glucose tolerance among adults was recently reported, with the highest prevalence in the Yangon Region. The aim of the present study was to identify the risk factors in dietary habits and their relationship with T2DM in urban Myanmar residents. We conducted a case–control study recruiting 300 individuals aged 25–74 years living in the Yangon Region, consisting of 150 newly diagnosed cases attending a diabetes clinic, and 150 controls, who were community residents and free of diabetes. The case group had a significantly higher consumption of noodles, fish, beans, fermented food and pickles, dried food, topping seasonings, and non-dairy milk products than the control group, whereas they had a lower vegetable intake (more than three servings/day) and fruit intake (more than three servings/day) than the control group. Furthermore, the case group exhibited a higher frequency of some dietary behaviors than the control group, such as (1) having meals with family, (2) skipping breakfast, and (3) eating out. The final model showed that topping seasonings (adjusted odds ratio (aOR) 11.23, 95% confidence interval (CI) 3.08–40.90), more than three servings/day of vegetable intake (aOR 0.18, 95% CI 0.05–0.67), and having meals with family (aOR 2.23, 95% CI 1.05–4.71) were associated with diabetes. The study suggests that Myanmar’s characteristic dietary culture of topping their meals with salty seasonings and sauces and eating multiple dishes together as a family are risk factors associated with T2DM. Our findings may contribute recommendations and opportunities for the primary prevention of T2DM in urban Myanmar.

Diabetes patients, due to the chorionic nature of the disease, need complex and long-term care for control and prevention of complications. The patients themselves find it difficult to adopt appropriate disease management after diagnosis and they need social support from family, friends, and their environment, especially in lower- and middle-income countries where medical service is limited, and they need self-care of disease and lifestyle modification. In Myanmar, however, the study for social support among diabetes patients is still limited. Therefore, we conducted a case-control study to investigate the social support among diabetes patients and the association between socioeconomic factors in Yangon, which has the highest prevalence of diabetes in Myanmar. Social support between diabetes patients who came to diabetes special clinics and non-diabetes community control was assessed by applying transculturally translated ENRICHD Social Support Instrument (ESSI). Among the diabetes patients’ group, more than 70% had high perceived social support, specifically higher level of informational and emotional social support. Robust multiple regression models revealed significant positive associations between total social support and independent variables: p value &lt, 0.001 for monthly household income and being married, and p value &lt, 0.05 for household number and frequency of having meals together with family. These findings suggest that perceived social support among patients with diabetes may be mainly affected by the patients’ family conditions, such as household income and living with a spouse, in Myanmar culture.