Differential of physical activities and its association with hypertension and diabetes in Myanmar
Keywords:Insufficient physical activity, Physical inactivity, Hypertension, Diabetes, 2014 Myanmar STEP survey
Background: Myanmar has been facing a high and growing burden of NCDs. Since regular physical activity has been recognized as one of the effective strategies in prevention and control of NCDs, promotion of physically active lifestyle might help in combatting a number of NCDs. This study was conducted to assess the sociodemographic differentials of physical activity and to identify the association between the insufficient physical activity and occurrence of hypertension and diabetes using data extracted from Myanmar STEP-2014-data.
Methods: This study was further data analysis on 2014 STEP survey and included (5791) 40-64-year-aged participants, a subsample of STEP survey. Binary logistic regression with clustered robust standard error method was applied to estimate the effect of insufficient physical activity on occurrence of hypertension and diabetes.
Results: The findings revealed that 17.5% [95%CI: 16.5%, 18.5%] of participants had the insufficient physical activity, 41.9% [95%CI: 40.6%, 43.2%] had raised blood pressure and 16.9% [95%CI: 15.9%, 17.9%] had raised blood glucose. After adjusting other covariates, the significant association between insufficient physical activity and raised blood pressure was not found; whereas insufficient physical activity was significantly contributed to occurrence of raised blood glucose.
Conclusions: The present study highlighted the importance of physical activity in occurrence of raised blood glucose. The proportions of insufficient physical activity, raised blood pressure and raised blood glucose were observed as a rising pattern with increasing in age. Community-based health promotion program targeted at promoting physically active lifestyle should be adapted to interventions that are appropriate to different age structures.
World Health Organization (WHO). Noncommunicable diseases. Available at: https://www.who.int/health-topics/noncom municable-diseases. Accessed on 6th March 2022.
World Health Organization (WHO). Hypertension Available at: https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed on 14 March 2022.
Gill JM, Cooper AR. Physical activity and prevention of type 2 diabetes mellitus. Sports Medicine. 2008;38(10):807-24.
Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047-53.
World Health Organization (WHO). Noncommunicable diseases Myanmar 2018. Available at: https://www.who.int/nmh/countries/ mmr_en.pdf. Accessed on 6 March 2022.
World Health Organization (WHO). Diabetes. Available at: https://www.who.int/news-room/fact-sheets/detail/diabetes. Accessed on 14th March 2022.
Sahebkar M, Heidarian Miri H, Noormohammadpour P, Tiyuri A, Pakzad R, Mansournia N, et al. Geographical Patterning of Physical Activity Prevalence in Iran: Spatial Analysis of 4 Pooled National Health Surveys Among 119,560 Adults. J Phys Act Health. 2019;16(12):1071-7.
Diaz KM, Shimbo D. Physical activity and the prevention of hypertension. Current hypertension reports. 2013;15(6):659-68.
Sternfeld B, Gabriel KP, Jiang S-F, Whitaker KM, Jacobs Jr DR, Quesenberry Jr CP, et al. Risk estimates for diabetes and hypertension with different physical activity methods. Medicine and science in sports and exercise. 2019;51(12):2498.
Zucatti ATN, de Paula TP, Viana LV, DallAgnol R, Cureau FV, Azevedo MJ, et al. Low Levels of Usual Physical Activity Are Associated with Higher 24 h Blood Pressure in Type 2 Diabetes Mellitus in a Cross-Sectional Study. J Diabetes Res. 2017;2017:6232674.
American Heart Association. Recommendations for Physical Activity in Adults and Kids. Available at: https://www.heart.org/en/healthy-living/fitness/ fitness-basics/aha-recs-for-physical-activity-in-adults. Accessed on 13 March 2022.
World Health Organization (WHO). Physical activity. Available at: https://www.who.int/news-room/fact-sheets/detail/physical-activity. Accessed on 13 March 2022.
Latt TS, Zaw KK, Ko K. Report on National survey of diabetes mellitus and risk factors for non-communicable diseases in Myanmar. 2014. Available at: https://www.who.int/ncds/surveillance /steps/Myanmar_2014_STEPS_Report.pdf Accessed on 20 March 2022.
American Heart Association. High Blood Pressure. Available at: https://www.heart.org/en/health-topics/high-blood-pressure. Accessed on 20 March 2022.
American Diabetes Association. Diabetes: Understanding A1C: Diagnosis. Available at: https://www.diabetes.org/diabetes/a1c/diagnosis Accessed on 20 March 2022.
Frantz JM, Ngambare R. Physical activity and health promotion strategies among physiotherapists in Rwanda. African Health Sciences. 2013;13(1):17-23.
Karunanayake AL, Senaratne CD, Stathi A. A descriptive cross sectional study comparing barriers and determinants of physical activity of Sri Lankan middle aged and older adults. PloS One. 2020;15(5):e0232956.
Pedisic, Z, Shrestha N, Loprinzi PD, Mehata S, Mishra SR. Prevalence, patterns, and correlates of physical activity in Nepal: findings from a nationally representative study using the Global Physical Activity Questionnaire (GPAQ). BMC Public Health. 2019;19(1):864.
Wickramarachchi BI, Siop SJ, Perera B. Personal determinants for physical activity behavior of urban-dwelling older adults in Sri Lanka. Gerontology Geriatric Medicine. 2019;7:23337214211023684.
Koeneman MA, Verheijden MW, Chinapaw MJ, Hopman-Rock M. Determinants of physical activity and exercise in healthy older adults: a systematic review. The International Journal Behavioral Nutrition and Physical Activity. 2021;8:142.
Thakur JS, Jeet G, Nangia R, Singh D, Grover S, Lyngdoh T, et al. Non-communicable diseases risk factors and their determinants: A cross-sectional state-wide STEPS survey, Haryana, North India. PloS One. 2019;14(11):e0208872.
John U, Meyer C, Hanke M, Völzke H, Schumann A. Smoking status, obesity and hypertension in a general population sample: a cross-sectional study. QJM: Monthly Journal of the Association of Physicians. 2006;99(6):407-15.
Primatesta P, Falaschetti E, Gupta S, Marmot MG, Poulter NR. Association between smoking and blood pressure: evidence from the health survey for England. Hypertension (Dallas, Tex.: 1979). 2001;37(2):187-93.
Bernabé-Ortiz A, Carrillo-Larco RM, Gilman RH, Checkley W, Smeeth L, Miranda JJ. Cohort Study Group. Contribution of modifiable risk factors for hypertension and type-2 diabetes in Peruvian resource-limited settings. Journal of Epidemiology and Community Health. 2016;70(1):49-55.
Brugnara L, Murillo S, Novials A, Rojo-Martínez G, Soriguer F, Goday A, et al. Low Physical Activity and Its Association with Diabetes and Other Cardiovascular Risk Factors: A Nationwide, Population-Based Study. PloS One. 2016;11(8):e0160959.
Ali N, Akram R, Sheikh N, Sarker AR, Sultana M. Sex-specific prevalence, inequality and associated predictors of hypertension, diabetes, and comorbidity among Bangladeshi adults: results from a nationwide cross-sectional demographic and health survey. BMJ Open. 2019;9(9):e029364.
Mistry SK, Hossain MB, Parvez M, Gupta RD, Arora A. Prevalence and determinants of hypertension among urban slum dwellers in Bangladesh. BMC Public Health. 2022;22(1):2063.
Zhang H, Ni J, Yu C, Wu Y, Li J, Liu J, et al. Sex-based differences in diabetes prevalence and risk factors: a population-based cross-sectional study among low-income adults in China. Frontiers in Endocrinology. 2019; 10: 658.
Pandey AR, Karki KB, Mehata S, Aryal KK, Thapa P, Pandit A, et al. Prevalence and determinants of comorbid diabetes and hypertension in nepal: evidence from non communicable disease risk factors STEPS Survey Nepal 2013. Journal of Nepal Health Research Council. 2015;13(29):20-5.
Maher D, Waswa L, Baisley K, Karabarinde A, Unwin N, Grosskurth H. Distribution of hyperglycaemia and related cardiovascular disease risk factors in low-income countries: a cross-sectional population-based survey in rural Uganda. International Journal of Epidemiology. 2011;40(1):160-71.
Talukder A, Hossain MZ. Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model. Sci Rep. 2020;10:10237.
Endris T, Worede A, Asmelash D. Prevalence of Diabetes Mellitus, Prediabetes and Its Associated Factors in Dessie Town, Northeast Ethiopia: A Community-Based Study. Diabetes, metabolic syndrome and obesity: targets and therapy. 2019;12:2799-809.