Risk Factors of Hypertension among Adult in Rural Indonesia

Rian Diana, Naufal Muharam Nurdin, Faisal Anwar, Hadi Riyadi, Ali Khomsan

Abstract

The aim of this study was to analyse the risk factors of hypertension among adult in rural Indonesia. This cross-sectional study included 112 married couples (112 men and 112 women) aged 45-59 years old and was conducted in Cianjur District, West Java, Indonesia. The measurement of body weight and fat composition used Bioelectrical Impedance Analysis (BIA) monitor (OMRON® Karada Scan Body Composition Monitor HBF-358-BW). Body height was measured by stadiometer, meanwhile waist circumference was measured by measuring tape. Data on the blood pressure measured by an automatic blood pressure monitor (OMRON® Automatic Blood Pressure Monitor Model HEM-7200). All measurement were done twice in repetition. Chi-square was used to analysed the association between variables and logistic regression was used to analyse the risk factors. The prevalence of hypertension was 49.1% (women 54.5%; men 43.7%). Women had a higher proportion of overweight, obesity, abdominal obesity, and hypertension stage 2 than men. BMI (p<0.05), waist circumference (p<0.05), total body fat (p<0.05), and visceral fat (p<0.05) were significantly higher in hypertension subject than not hypertension. Nonetheless, only waist circumference became the risk factor for hypertension (OR=4.005; 95%CI:1.47-10.914 for high risk). There is high prevalence of hypertension among adult in rural area. Adult, particularly women need to pay attention on their body fat to reduce the risk of hypertension.

References

Battie CA, Borja-Hart N, AnchetaI B, FloresR, Rao G, Palaniappan L. 2016. Comparison of body mass index, waist circumference, and waist to height ratio in the prediction of hypertension and diabetes mellitus: Filipino-American women cardiovascular study. Preventive Medicine Reports 4:608-613.http://dx.doi.org/10.1016/j.pmedr.2016.10.003.
Chandra A, Neeland IJ, Berry JD, Ayers CR, Rohatgi A, Das SR, Khera A, McGuire DK, de Lemos JA, Turer AT. 2014. The relationship of body mass and fat distribution with incident hypertension: Observations from the Dallas heart study. J Am Coll Cardiol 64(10):9971002. http://dx.doi.org/10.1016/j.jacc.2014.05.057.

Choi HM, Kim HC, Kang DR. 2017. Sex differences in hypertension prevalence and control: Analysis of the 2010-2014 Korea National Health and Nutrition Examination Survey. PLoS ONE 12(5): e0178334. https://doi.org/10.1371/journal. pone.0178334.

Dogan N, Toprak D, Demir S. 2012. Hypertension prevalence and risk factors among adult population in Afyonkarahisar region: A cross-sectional research. Anadolu Kardiyol Derg 12(1):47-52.

Ettehad D, Emdin CA, Kiran A, Anderson SG, Callender T, Emberson J, Chalmers J, Rodgers A, Rahimi K. 2015. Blood pressure lowering for prevention of cardiovascular disease and death: A systematic review and meta-analysis articles blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet 387(10022):957-967. http://dx.doi.org/10.1016/S0140-6736(15)01225-8.

Forouzanfar MH, Alexander L, Anderson HR, et al. 2015. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 386(10010):2287-2323. http://dx.doi.org/10.1016/S01406736(15)00128-2.

Gallagher d, Heymsfield B, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y. 2000. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 72(3):694-701. doi: 10.1093/ajcn/72.3.694.

Landsberg L, Aronne LJ, Beilin LJ, Burke V, Igel LI, Lloyd-Jones D, Sowers J. 2013. Obesity-related hypertension: pathogenesis, cardiovascular risk, and treatment: A position paper of the obesity society and the American Society of Hypertension. J Clin Hypertens 15(1):14-33. doi:10.1111/jch.12049.

[MoH] Ministry of Health. 2013. Basic Health Survey. Jakarta: Ministry of Health Indonesia.

[NHLBI] National Heart, Lung, and Blood Institute. 2004. Complete Report The Seventh Report of Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Bethesda: NHLBI.

Nuttall FQ. 2015. Body mass index: obesity, BMI, and health: a critical review. Nutrition Today 50(3):117-128. doi: 10.1097/NT.0000000000000092.OMRON. 2017. OMRON Instruction manual body composition monitor model hbf-358-bw karadascan. http://omronhealthcare.co.id/resource/manual/English/HBF-358.pdf [Accessed on July 29th, 2018].

Palmer AK, Kirkland JL. 2016. Aging and adipose tissue: Potential interventions for diabetes and regenerative medicine. Experimental Gerontology 86:97-105. http://dx.doi.org/10.1016/j.exger.2016.02.013.

Peltzer K, Pengpid S. 2018. The prevalence and social determinants of hypertension among adults in Indonesia: A cross-sectional population-based national survey. Int J Hypertens 5610725. https://doi.org/10.1155/2018/5610725.

Rao S, Parab-Waingankar P. 2013. Performance of waist circumference relative to BMI in predicting risk of obesity and hypertension among affluent Indian Adults. Health 5(8A3):16-22. http://dx.doi.org/10.4236/health.2013.58A3003.

Ranasinghe C, Gamage P, Katulanda P, Andraweera N, Sithira T, Tharanga P. 2013. Relationship between body mass index (BMI) and body fat percentage, estima-ted by bioelectrical impedence, in a group of Sri Lankan adults: A cross sectional study. BMC Public Health 13(1):797.doi:10.1186/1471-2458-13-797.

Sari MK, Lipoeto NI, Herman RB. 2016. Penelitian hubungan lingkar abdomen (lingkar perut ) dengan tekanan darah. Jurnal Kesehatan Andalas 5(2):456-461.

Seven E, Thuesen BH, Linneberg A, Jeppesen JL. 2016. Abdominal adiposity distribution quantified by ultrasound imaging and incident hypertension in a general population. Hypertension 68(5):1115-1122. doi:10.1161/HYPERTENSIONAHA.116.07306.

Shi H, Kumar SPDS. 2012. Sex differences in obesity-related glucose intolerance and insulin resistance. Glucose Tolerance 38-65 in tech. http://dx.doi.org/10.5772/52972.

Singh S, Shankar R, Singh GP. 2017. Prevalence and associated risk factors of hypertension: a cross-sectional study in urban Varanasi. Int J Hypertens 5491838. https://doi.org/10.1155/2017/5491838.

Sudikno, Syarief H, Dwiriani CM, Riyadi H, Pradono J. 2018. Obesity risk factor among 25-65 years old adults in Bogor City, Indonesia: A prospective cohort study. J Gizi Pangan 13(2):55-62. doi:10.25182/jgp.2018.13.2.55-62.

White UA, Tchoukalova YD. 2014. Sex dimorphism and depot differences in adipose tissue function. Biochimica et Biophysica Acta 1842(3):377-392. http://dx.doi.org/10.1016/j.bbadis.2013.05.006.

[WHO] World Health Organization. 2016. Raised blood pressure (SBP ≥140 OR DBP ≥90), age standardized (%) Global estimates [Internet]. WHO. http://apps.who.int/gho/data/view.main.CM1320R?lang=en [Accessed on November 6th, 2017].

[WHO] World Health Organization. 2011. Waist Circumference and Waist-Hip Ratio: Report Of A WHO Expert Connsultation, Geneva, 8-11 December 2008. Geneva: WHO.

Authors

Rian Diana
rian.diana@fkm.unair.ac.id (Primary Contact)
Naufal Muharam Nurdin
Faisal Anwar
Hadi Riyadi
Ali Khomsan
DianaR., Muharam NurdinN., AnwarF., RiyadiH., & KhomsanA. (2018). Risk Factors of Hypertension among Adult in Rural Indonesia. Jurnal Gizi Dan Pangan, 13(3), 111-116. https://doi.org/10.25182/jgp.2018.13.3.111-116

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