Prevalence and Factors Associated with Hyperglycemia among Myanmar Migrant Workers in Mueang District, Chiang Rai Province, Thailand: A Cross-Sectional Study
Abstract
Objectives: This study aimed to estimate the prevalence of hyperglycemia and identify factors associated with hyperglycemia among Myanmar migrant workers, aged over 18 years, in Mueang district, Chiang Rai province, Thailand.
Material and Methods: A cross-sectional study was performed on 402 Myanmar migrant workers aged over 18 years in Mueang District, Chiang Rai Province, Thailand. A questionnaire was used to collect research data, and blood pressure, body mass index, waist circumference, and fasting blood glucose levels were measured. Multiple logistic regression analyses were used to analyze the association between variables at a significance level of a=0.05.
Results: Among all the participants, 42.0% were male and 58.0% were female, with a mean age of 38.9 years (standard deviation=10.4). The prevalence of hyperglycemia was 13.4%. Six factors were found to be significantly associated with hyperglycemia in multivariate analysis; including: ethnicity (adjusted odd ratio (AOR)=4.76, 95% confidence interval (CI) =1.25-18.14), high blood pressure (AOR=3.83, 95% CI=1.82–8.03), overweight (AOR=5.19, 95% CI=2.28-11.81), obese (AOR=3.87, 95% CI=1.17–12.79), parent's history of diabetes mellitus (DM) (AOR=6.86, 95% CI=1.45–32.46), smoking (AOR=6.24, 95% CI=2.08–18.69), and depression (AOR=4.21, 95% CI=2.00–8.89).
Conclusion: The prevalence of hyperglycemia among Myanmar migrant workers was 13.4%. Ethnicity, high blood pressure, body mass index, parental history of DM, smoking and depression were significantly associated with hyperglycemia. The findings of this study are useful for the development of policies and measures for preventing and controling hyperglycemia and DM among Myanmar migrant workers.
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Islam JY, Zaman MM, Bhuiyan MR, Haq SA, Ahmed S, AlQadir AZ. Prevalence and determinants of hyperglycemia among adults in Bangladesh: results from a population-based national survey. BMJ Open 2019;9:e029674.
Chomchoei C, Apidechkul T, Khunthason S, Kullawong N, Keawdounglek V, Tamornpark R, et al. Prevalence and factors associated with type 2 diabetes meliitus among middle-aged and elderly Lisu Hill tribe people, Northern Thailand: a crosssectional study. J Health Sci Altern Med 2019;1:17-23.
Kyrou I, Tsigos C, Mavrogianni C, Cardon G, Van Stappen V, Latomme J, et al. Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe. BMC Endocrine Disorders 2020;20:134.
Kumar V, Abbas AK, Aster JC. Robbins basic pathology. 10th ed. Canada: Julie Ed; 2018.
International Organization for Migration (IOM). Flow monitoring surveys: insights into the profiles and vulnerabilities of Myanmar migrants to Thailand (round three) [monograph on the Internet]. Bangkok: DTM Thailand; 2019 [cited 2019 Feb 25]. Available from: https://reliefweb.int/sites/reliefweb.int/files/resources/ Round-3_DTM-FMS_Thailand-Myanmar_Report.pdf
Thiger. Government urged to let in 100,000 migrant workers from Myanmar despite Covid surge [monograph on the Internet]. Bangkok: Thiger; 2020 [cited 2020 Dec 20]. Available from: https://thethaiger.com/coronavirus/government-urged-tolet-in-100000-migrant-workers-from-myanmar-despitecovid-surge
Montesi L, Caletti MT, Marchesini G. Diabetes in migrants and ethnic minorities in a changing World. World J Diabetes 2016;7:34-44.
Aung WP, Bjertness E, Htet AS, Stigum H, Kjøllesdal M. Trends in diabetes prevalence, awareness, treatment and control in Yangon Region, Myanmar, between 2004 and 2014, two crosssectional studies. Int J Environ Res Public Health 2019;16:3461.
Hnuplo K, Sornlorm K, Naepimay N, Changkaew S. Prevalence and factors associated with pre-diabetes mellitus among Myanmar migrant workers in Suratthani Province. Health Sci J Thai 2021;4:1-9.
Isreal GD. Determining sample size [monograph on the Internet]. Florida: Scientific Research Publishing Inc; 2020 [cited 2020 Sep 1]. Available from: https://www.tarleton.edu/ academicassessment/documents/Samplesize.pdf(1992)
Adams NE. Bloom’s taxonomy of cognitive learning objectives. J Med Libr Assoc 2015;103:152–3.
Arneson JB, Offerdahl EG. Visual Literacy in Bloom: Using Bloom's Taxonomy to Support Visual Learning Skills. CBE Life Sci Educ 2018;17:7.
Latt TS, Zaw KK, Ko K, Hlaing MM, Ohnmar M, Oo ES, et al. Measurement of diabetes, prediabetes and their associated risk factors in Myanmar 2014. Diabetes, metabolic syndrome and obesity: targets and therapy [serial on the Internet]. 2018 Oct [cited 2019 Oct 5]; 12;291–298. Available from: https://doi. org/10.2147/DMSO.S156270
Apidechkul T. Prevalence and factors associated with type 2 diabetes mellitus and hypertension among the hill tribe elderly populations in northern Thailand. BMC Public Health 2018; 18:694.
Rahim FF, Abdulrahman SA, Kader Maideen SF, Rashid A. Prevalence and factors associated with prediabetes and diabetes in fishing communities in penang, Malaysia: a crosssectional study. PLoS One 2020;15:e0228570.
Yu X, Duan F, Lin D, Li H, Jian Z, Qiuyu W, et al. Prevalence of diabetes, prediabetes, and associated factors in an adult chinese population: baseline of a prediabetes cohort study. Int J Endocrinol 2020;2020:1-8.
Rimal A, Panza A. Prevalence of, and factors associated with, Type 2 diabetes and its microvascular complications among the elderly in Kathmandu, Nepal. J Health Res 2017;27:45-9.
Oh SH, Ku H, Park KS. Prevalence and socioeconomic burden of diabetes mellitus in South Korean adults: a populationbased study using administrative data. BMC Public Health 2021;21:548.
Fakir M, Islam A, Chakrabarti R, Dirani M, Ormsby G, Wahab M, et al. Knowledge, attitudes and practice of diabetes in rural Bangladesh: the Bangladesh based diabetes and eye study (BPDES). PLoS One 2014;9:e110368.
Vonglokham M, Kounnavong S, Sychareun V, Pengpid S, Peltzer K. Prevalence and social and health determinants of pre-diabetes and diabetes among adults in Laos: a crosssectional national population-based survey, 2013. Trop Med Int Health 2019;24:65-72.
Tamornpark R, Apidechkul T, Upala P, Inta C. Factors associated with type 2 diabetes mellitus among the elderly hill tribe population in Thailand. Southeast Asian J Trop Med Public Health 2017;48:1073-80.
Ueno S, Aung MN, Yuasa M, Ishtiaq A, Khin ET, Latt TS, et al. Association between dietary habits and type 2 diabetes mellitus in Yangon, Myanmar: a case–control study. Int J Environ Res Public Health 2021;18:11056.
Sakurai M, Nakamura K, Miura K, Takamura T, Yoshita K, Sasaki S, et al. Family history of diabetes, lifestyle factors, and the 7-year incident risk of type 2 diabetes mellitus in middle-aged Japanese men and women. J Diabetes Investig 2013;4:261-8.
van Dam RM, Boer JM, Feskens EJ, Seidell JC. Parental history of diabetes modifies the association between abdominal adiposity and hyperglycemia. Diabetes Care 2001;24:1454-9.
Ruhembe CC, Mosha TCE, Nyaruhucha CNM. Risk factors associated with elevated blood glucose among adults in Mwanza City, Tanzania. Tanzania J Agric Sci 2015;14:90-100.
Cryer MJ, Horani T, DiPette DJ. Diabetes and hypertension: a comparative review of current guidelines. J Clin Hypertens (Greenwich) 2016;18:95-100.
Landsberg L, Aronne LJ, Beilin LJ, Burke V, Igel LI, LloydJones D, et al. Obesity-related hypertension: pathogenesis, cardiovascular risk, and treatment: a position paper of The Obesity Society and the American Society of Hypertension. J Clin Hypertens (Greenwich) 2013;15:14-33.
Neighbors M, Tannehill-Jones R. Neighbors/Tannehill-Jones' human diseases. 3rd ed. Australia: Delmar Learning; 2010.
American Diabetes Association (ADA). Classification and diagnosis of diabetes: standards of medical care in diabetes-2020. Diabetes Care 2020;43:S14-31.
Aekplakorn W, Inthawong R, Kessomboon P, Sangthong R, Chariyalertsak S, Putwatana P, et al. Prevalence and trends of obesity and association with socioeconomic status in Thai adults: National Health Examination Surveys, 1991-2009. J Obes 2014;2014:410259.
Yue J, Mao X, Xu K, Lü L, Liu S, Chen F, et al. Prevalence, awareness, treatment and control of diabetes mellitus in a Chinese population. PLoS ONE 2016;11:e0153791.
Martyn JA, Kaneki M, Yasuhara S. Obesity-induced insulin resistance and hyperglycemia: etiologic factors and molecular mechanisms. Anesthesiology 2008;109:137-48.
Aynalem SB, Zeleke AJ. Prevalence of diabetes mellitus and its risk factors among individuals aged 15 years and above in Mizan-Aman Town, Southwest Ethiopia, 2016: a cross sectional study. Int J Endocrinol 2018;2018:9317987.
Sari MI, Sari N, Darlan DM, Prasetya RJ. Cigarette smoking and hyperglycaemia in diabetic patients. Open Access Maced J Med Sci 2018;6:634-7.
Maddatu J, Anderson-Baucum E, Evans-Molina C. Smoking and the risk of type 2 diabetes. Transl Res 2017;184:101-7.
Joseph JJ, Golden SH. Cortisol dysregulation: the bidirectional link between stress, depression, and type 2 diabetes mellitus. Ann N Y Acad Sci 2017;1391:20-34.
Bădescu SV, Tătaru C, Kobylinska L, Georgescu EL, Zahiu DM, Zăgrean AM, et al. The association between diabetes mellitus and depression. J Med Life 2016;9:120-5.
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