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Makhbuba Kalandarova,1 Ishtiaq Ahmad,1 Thin Nyein Nyein Aung,2 Saiyud Moolphate,3 Yoshihisa Shirayama,1,4 Miyoko Okamoto,1 Myo Nyein Aung,1,4,5 Motoyuki Yuasa1,4 1Department of Global Health Research, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan; 2Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand; 3Department of Public Health, Faculty of Science and Technology, Chiang Mai Rajabhat University, Chiang Mai, 50300, Thailand; 4Faculty of International Liberal Arts, Juntendo University, Tokyo, 113-8421, Japan; 5Juntendo Advanced Research Institute for Health Sciences, Juntendo University, Tokyo, 113-8421, JapanCorrespondence: Ishtiaq Ahmad; Myo Nyein Aung, Department of Global Health Research, Juntendo University Graduate School of Medicine, Bunkyo City, Hongo, 2 Chome-1-1, Tokyo, 113-8421, Japan, Email ahmad@juntendo.ac.jp; myo@juntendo.ac.jpBackground: The prevalence of T2DM is escalating in Thailand affecting over 10% of adults aged 20– 79 years old. It is imperative to identify modifiable risk factors that can potentially help mitigate the risk of developing diabetes.Objective: This study aimed to investigate the relationship between dietary habits and type 2 diabetes in Chiang Mai, Thailand.Methods: This case-control study involved 300 individuals aged 25– 74 years residing in Chiang Mai, Thailand including 150 newly diagnosed T2DM patients (cases) and 150 community residents without diabetes (controls). Dietary habits were assessed based on Food Frequency Questionnaire (FFQ). Socio-demographic characteristics and anthropometric information of the participants were collected. Data analysis was performed using the STATA-17.Results: The case group participants were older and had a higher proportion of males compared to the control group. The case group exhibited a significantly higher consumption of meat, beans, nuts, soft drinks, and topping seasonings (p< 0.001), conversely, a lowe

Makiko Komasawa,1,2 Myo Nyein Aung,2 Christopher Nsereko,3 Robert Ssekitoleko,4 Mitsuo Isono,5 Kiyoko Saito,1 Jesca Nantume,4 Yoshihisa Shirayama,2 Shrestha Chandani,1 Motoyuki Yuasa2 1Ogata Sadako Research Institute for Peace and Development, Japan International Cooperation Agency, Tokyo, Japan; 2Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan; 3Department of Internal Medicine, Entebbe Regional Referral Hospital, Entebbe, Uganda; 4College of Health Sciences, Makerere University, Kampala, Uganda; 5Department of Human Development, Japan International Cooperation Agency, Tokyo, JapanCorrespondence: Makiko Komasawa, Ogata Sadako Research Institute for Peace and Development, Japan International Cooperation Agency, 10-5, Ichigaya Honmura-cho, Shinjuku-ku, Tokyo, 162-8433, Japan, Tel +81-3-3269-2911, Fax +81-3-3269-2054, Email mkomasa@juntendo.ac.jpBackground: The COVID-19 pandemic and its measures have had a profound impact on universal access to health services. We investigated the impact of the closure of the Entebbe Regional Referral Hospital (ERRH) for two years on the accessibility to necessary healthcare among non-COVID-19 patients.Methods: This mixed-methods study focused on ERRH patients with tuberculosis (TB), human immunodeficiency virus (HIV), diabetes/hypertension, and mental illness. A quantitative study used a structured-questionnaire with a primary outcome measure to assess the discontinuation of healthcare accessibility. A qualitative study with a focus group discussion (FGD) was conducted on eight patients.Results: Of the 202 quantitative survey participants, 17.8% discontinued necessary healthcare due to the ERRH closure, and the discontinuation rates differed by disease: 48.1% of TB patients, 16.0% of HIV patients, 7.8% of diabetes/hypertension patients, and 4.0% of mental health patients (P < 0.001). Almost 90% of the patients reported a worsened health condition, regardless of the disease. Multi

The technology-driven application of big data is expected to assist policymaking towards sustainable development; however, the relevant literature has not addressed human welfare under climate change, which limits the understanding of climate change impacts on human societies. We present the first application of unique mobile phone network data to evaluate the current nation-wide human welfare of coastal tourism at Japanese beaches and project the value change using the four climate change scenarios. The results show that the projected national economic value loss rates are more significant than the projected national physical beach loss rates. Our findings demonstrate regional differences in recreational values: most southern beaches with larger current values would disappear, while the current small values of the northern beaches would remain. These changes imply that the ranks of the beaches, based on economic values, would enable policymakers to discuss management priorities under climate change.

Thin Nyein Nyein Aung,1 Yoshihisa Shirayama,2 Saiyud Moolphate,3 Myo Nyein Aung,4 Thaworn Lorga,5 Motoyuki Yuasa21Department of Public Health, Graduate School of Medicine, Juntendo University, Tokyo, Japan; 2Faculty of International Liberal Arts, Juntendo University, Tokyo, Japan; 3Department of Public Health, Faculty of Science and Technology, Chiang Mai Rajabhat University, Chiangmai, Thailand; 4Advanced Research Institute for Health Science, and Faculty of International Liberal Arts, Juntendo University, Tokyo, Japan; 5Department of Research and Community Engagement, Research Coordinating Unit, Boromrajonani College of Nursing, Nakhon Lampang, ThailandBackground and purpose: When migrants go to a new country to work, they experience transition of epidemiological risk factors, a new system of access to healthcare and changing life styles. Their comprehension of health risk factors will depend on acculturation pattern. Moreover, musculoskeletal disorders (MSDs) are significantly prevalent in such a population due to the manual work in their jobs. Myanmar immigrant’s acculturation level has not yet been studied in relation to prevalent diseases. This study aimed to investigate health risk behaviors, the prevalence of musculoskeletal disorders, and associated factors.Methods: A cross-sectional study surveyed 414 Myanmar migrant workers in Chiangmai, Thailand. Face-to-face interviews administered structured questionnaires which comprised the transculturally validated East Asian Acculturation Measure scale, Standardized Nordic musculoskeletal questionnaires, Patient Health Questionnaires 2 and 9 for depression and questionnaires to screen health behaviors and jobs. Data analysis applied binary logistic regression.Results: About 26.3% were current smokers and 40.8% current drinkers. Of the 75.8% of participants did not exercise, 40.1% were overweight and obese, 44.7% had prehypertension, 27.1% hypertension, and 13% had depression. The prevalence of MSDs at any