Prevalence and Factors Associated with Pre-hypertension among Myanmar Migrant Workers in Surat Thani Province

Main Article Content

Kanit Hnuploy
Kittipong Sornlorm
Nattakarn Naepimay
Sirichai Changkaew

Abstract

The objectives of this cross-sectional analytical research were to describe the prevalence of pre-hypertension and assess factors associated with pre-hypertension among Myanmar migrant workers in Surat Thani province. Data were collected from October 2020–March 2021. Of these, 508 samples were selected using the multi-stage random sampling method. The data were analyzed using descriptive statistics and multiple logistic regression. The results show that Myanmar migrant workers had pre-hypertension at 68.30 percent (95%CI: 64.12-72.72). Factors associated with pre-hypertension were; age over 30 years old (Adjusted odd ratios [AOR] = 2.77; 95%CI: 1.77-4.33), overweight or obese (AOR = 2.30; 95%CI: 1.50-3.53), family expenditure ≥5,000 baht/month (AOR = 2.28; 95%CI: 1.17-4.44), not received health information (AOR = 2.28; 95%CI: 1.44-3.61), males (AOR = 1.97; 95%CI: 1.27-3.07), working experience ≥48 months (AOR = 1.69; 95%CI: 1.06-2.71), and working period ≤8 hours/day (AOR = 1.60; 95%CI: 1.03-2.49), respectively. In summary, it was found that two-thirds of Myanmar migrant workers had pre-hypertension. In addition, the factors such as demographic characteristics, socioeconomic, and health information were associated with pre-hypertension.

Downloads

Download data is not yet available.

Article Details

Section
Original articles

References

Olsen MH, Angell SY, Asma S, Boutouyrie P, Burger D, Chirinos JA, et al. A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: The Lancet Commission on hypertension. The Lancet 2016; 388(10060): 2665-2712.

Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics 2015 update: A report from the American Heart Association. Circulation 2015; 131(4): e29-322.

Qureshi AI, Suri MFK, Kirmani JF, Divani AA, Mohammad Y. Is prehypertension a risk factor for cardiovascular diseases? Stroke 2005; 36(9): 1859-1863.

Seedat Y, Ali A, Ferdinand KC. Hypertension and cardiovascular disease in the sub-Saharan African context. Ann Transl Med 2018; 6(15): 8.

Danaei G, Lu Y, Singh GM, Carnahan E, Stevens GA, Cowan MJ, et al. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment. Lancet Diabetes Endocrinol 2014; 2(8): 634-647.

Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. The lancet 2012; 380(9859): 2224-2260.

Zygmuntowicz M, Owczarek A, Elibol A, Chudek J. Comorbidities and the quality of life in hypertensive patients. Pol Arch Med Wewn 2012; 122(7-8): 333-340.

Alidu L, Grunfeld EA. Gender differences in beliefs about health: A comparative qualitative study with Ghanaian and Indian migrants living in the United Kingdom. BMC Psychology 2017; 5(1): 1-8.

Khanam R, Ahmed S, Rahman S, Kibria GMA, Syed JRR, Khan AM, et al. Prevalence and factors associated with hypertension among adults in rural Sylhet district of Bangladesh: A cross-sectional study. BMJ Open 2019; 9(10): e026722.

Hnuploy K, Laohasiriwong W, Sornlorm K, Nutrawong T. Influence of living and working environments on depressive symptoms among myanmar migrant workers in the South of Thailand. J Clin Diagn Res. 2019; 13(10), 1-5.

Aung TNN, Shirayama Y, Moolphate S, Aung MN, Lorga T, Yuasa M. Health risk behaviors, musculoskeletal disorders and associated cultural adaptation, depression: A survey among Myanmar migrant workers in Chiangmai, Northern Thailand. Int J Gen Med 2019; 12: 283-292.

Hsieh FY, Bloch DA, Larsen MD. A simple method of sample size calculation for linear linearnd logistic regression. Stat Med 1998; 17(14): 1623-1634.

Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav 1983; 24(4): 385-96.

Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003; 289(19): 2560-2572. doi: 10.1001/jama.289. 19.2560.

Hosmer Jr DW, Lemeshow S, Sturdivant RX. Applied logistic regression. New Jersey: John Wiley & Sons; 2013.

Hnuploy K, Sornlorm K, Naepimay N, Changkaew S. Prevalence and factors associated with pre-diabetes mellitus among Myanmar migrant workers in Suratthani Province. Health Science J Thailand 2022; 4(1): 1-9. (In Thai)

Shen Y, Chang C, Zhang J, Jiang Y, Ni B, Wang Y. Prevalence and risk factors associated with hypertension and prehypertension in a working population at high altitude in China: a cross-sectional study. Environ Health Prev Med 2017; 22(1): 19.

Chambergo-Michilot D, Rebatta-Acuña A, Delgado-Flores CJ, Toro-Huamanchumo CJ. Socioeconomic determinants of hypertension and prehypertension in Peru: Evidence from the Peruvian demographic and health survey. PloS One 2021; 16(1): e0245730.

Buford TW. Hypertension and aging. Ageing Res Rev 2016; 26: 96-111.

Kishore J, Gupta N, Kohli C, Kumar N. Prevalence of Hypertension and Determination of Its Risk Factors in Rural Delhi. Int J Hypertens 2016; 2016: 7962595.

Shah SM, Loney T, Sheek-Hussein M, El Sadig M, Al Dhaheri S, El Barazi I, et al. Hypertension prevalence, awareness, treatment, and control, in male South Asian immigrants in the United Arab Emirates: A cross-sectional study. BMC Cardiovasc Disord 2015; 15(1): 1-11.

Trudel X, Brisson C, Gilbert-Ouimet M, Vézina M, Talbot D, Milot A. Long working hours and the prevalence of masked and sustained hypertension. Hypertension 2020; 75(2): 532-538.