Research Article Open Access

Anthropometric Indicators for Blood Pressure and the Prevalence of Hypertension in Indonesian College Students Aged 18-25 Years

Authors

CORRESPONDING AUTHOR
Janatin Hastuti
Laboratory of Bioanthropology and Paleoanthropology, Universitas Gadjah Mada, Jl. Medika, Sekip, 55281 Yogyakarta, Indonesia
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Neni Trilusiana Rahmawati
Laboratory of Bioanthropology and Paleoanthropology, Universitas Gadjah Mada, Jl. Medika, Sekip, 55281 Yogyakarta, Indonesia
|
Rusyad Adi Suriyanto
Laboratory of Bioanthropology and Paleoanthropology, Universitas Gadjah Mada, Jl. Medika, Sekip, 55281 Yogyakarta, Indonesia
Published on: March 15, 2018
DOI 10.3923/pjn.2018.163.170
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Abstract

Background and Objective: Anthropometric measures have been reported to be associated with elevated blood pressure. Understanding these factors may prevent the increasing level of hypertension. This study aimed to examine some anthropometric indicators for blood pressure and the prevalence of hypertension in Indonesian college students (18-25 years) in Yogyakarta. Materials and Methods: A total of 209 male and 258 female students (18-25 years) in Yogyakarta participated in this study. Weight, stature, circumferences at mid upper arm (MUAC), wrist, waist, hips, total of four skinfolds and systolic and diastolic blood pressure were measured. Body mass index (BMI), body frame index, waist-to-hip ratio (WHR) and waist-to-stature ratio (WSR) were determined. Analyses of t-test, chi-square test and simple and multiple linear regression analyses were conducted. Results: The prevalence of hypertension was low (14.0% in boys, 1.6% in girls), but that of prehypertension was high (43.0% in boys, 18.1% in girls). All anthropometric measures (weight, MUAC, wrist circumference, WC, HC, skinfold thickness, BMI and WSR) except for stature and WHR were significantly associated with systole and diastole in boys and systole in girls (r= 0.13 - 0.32, p<0.05, p<0.01, respectively). The BMI and MUAC were the strongest predictors of systole in boys and girls, respectively. Diastole was predicted better by weight and MUAC together and weight alone in boys and weight in girls. Conclusion: The prevalence of hypertension was higher in boys than in girls. All anthropometric measures except stature and WHR were significantly associated with systole and diastole in boys and systole in girls. The BMI in boys and MUAC in girls were the strongest contributors in systole, whereas, weight and MUAC in boys and weight in girls were the strongest predictors of diastole.

Keywords:

Anthropometric indicators, BMI, body weight, college students, diastole, hypertension prevalence, MUAC, systole

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Hastuti, J., Rahmawati, N. T., & Suriyanto, R. A. (2018). Anthropometric Indicators for Blood Pressure and the Prevalence of Hypertension in Indonesian College Students Aged 18-25 Years. Pakistan Journal of Nutrition, 17(4), 163–170. https://doi.org/10.3923/pjn.2018.163.170
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References

1.
WHO., 2015. Global Health Observatory (GHO) data. World Health Organization, Geneva, Switzerland.
2.
Ministry of Health Republic of Indonesia, 2013. Riset Kesehatan Dasar republik Indonesia. Ministry of Health Republic of Indonesia, Jakarta.
3.
WHO., 2016. Cardiovascular diseases (CVDs): Fact sheet. World Health Organization. http://www.who.int/mediacentre/factsheets/fs317/en/.
4.
WHO., 2011. Global Atlas on Cardiovascular Disease Prevention and Control. World Health Organization, Geneva, Switzerland.
5.
Gaziano, T.A., A. Bitton, S. Anand, S. Abrahams-Gessel and A. Murphy, 2010. Growing epidemic of coronary heart disease in low-and middle-income countries. Curr. Prob. Cardiol., 35: 72-115.
6.
WHO., 2013. A Global Brief on Hypertension: Sillent Killer, Global Public Health Crisis. World Health Organization, Geneva, Switzerland.
7.
Nguyen, T. and D.C.W. Lau, 2012. The obesity epidemic and its impact on hypertension. Can. J. Cardiol., 28: 326-333.
8.
Barreira, T.V., A.E. Staiano, D.M. Harrington, S.B. Heymsfield, S.R. Smith, C. Bouchard and P.T. Katzmarzyk, 2012. Anthropometric correlates of total body fat, abdominal adiposity and cardiovascular disease risk factors in a biracial sample of men and women. Mayo Clin. Proc., 87: 452-460.
9.
Burgos, M.S., L.T. Burgos, M.D. Camargo, S.I.R. Franke and D. Pra et al., 2013. Relationship between anthropometric measures and cardiovascular risk factors in children and adolescents. Arq. Brasil. Cardiol., 10: 288-296.
10.
Peymani, P., S.T. Heydari, S.M. Ahmadi, Y. Sarikhani and H. Joulaei et al., 2012. The prevalence of high blood pressure and its relationship with anthropometric indicators; a population based study in Fars province, IR Iran. Int. Cardiovasc. Res. J., 6: 40-45.
11.
Saeed, A.A. and N.A. Al-Hamdan, 2013. Anthropometric risk factors and predictors of hypertension among Saudi adult population: A national survey. J. Epidemiol. Global Health, 3: 197-204.
12.
Xu, C., X. Yang, S. Zu, S.Han, Z. Zhang and G. Zhu, 2008. Association between serum lipids, blood pressure and simple anthropometric measures in an adult Chinese population. Arch. Med. Res., 39: 610-617.
13.
Zheng, L., Z. Zhang, Z. Sun, J. Li and X. Zhang et al., 2010. The association between body mass index and incident hypertension in rural women in China. Eur. J. Clin. Nutr., 64: 769-775.
14.
Silva, D.A.S., E.L. Petroski and M.A. Peres, 2012. Is high body fat estimated by body mass index and waist circumference a predictor of hypertension in adults? A population-based study. Nutr. J., Vol. 11.
15.
Brar, S.K. and Badaruddoza, 2013. Better anthropometric indicators to predict elevated blood pressure in North Indian Punjabi adolescents. J. Biol. Sci., 13: 139-145.
16.
ISAK., 2006. International standards for anthropometric assessment. International Society for the Advancement of Kinanthropometry, Canbera.
17.
IBM., 2011. IBM SPSS Statistics for Windows, Version 20.0. IBM Corporation, Armonk, New York, USA.
18.
Erem, C., C. Arslan, A. Hacihasanoglu, O. Deger and M. Topbas et al., 2004. Prevalence of obesity and associated risk factors in a Turkish population (Trabzon city, Turkey). Obesity, 12: 1117-1127.
19.
Ali, N., S. Mahmood, M. Manirujjaman, R. Perveen and A. Nahid et al., 2018. Hypertension prevalence and influence of basal metabolic rate on blood pressure among adult students in Bangladesh. BMC Public Health, Vol. 18.
20.
Lim, N.K., J.Y. Lee, J.Y. Lee, H.Y. Park and M.C. Cho, 2015. The role of genetic risk score in predicting the risk of hypertension in the Korean population: Korean genome and epidemiology study. Plos One, Vol. 10.
21.
Carey, R.M., 2015. The intrarenal renin-angiotensin system in hypertension. Adv. Chronic Kidney Dis., 22: 204-210.
22.
Maranon, R. and J.F. Reckelhoff, 2013. Sex and gender differences in control of blood pressure. Clin. Sci., 125: 311-318.
23.
Guimaraes, I.C.B., A.M. de Almeida, A.S. Santos, D.B.V. Barbosa and A.C. Guimaraes, 2008. Blood pressure: Effect of body mass index and of waist circumference on adolescents. Arq. Brasil. Cardiol., 90: 426-432.
24.
Campana, E.M.G., A.A. Brandao, R. Pozzan, M.E.C. Magalhaes and F.L. Fonseca et al., 2014. Blood pressure in adolescence, adipokines and inflammation in young adults: The Rio de Janeiro study. Arq. Brasil. Cardiol., 102: 60-69.
25.
Mazicioglu, M.M., B.M. Yalcin, A. Ozturk, H.B. Ustunbas and S. Kurtoglu, 2010. Anthropometric risk factors for elevated blood pressure in adolescents in Turkey aged 11-17. Pediatr. Nephrol., 25: 2327-2334.
26.
Mishra, P.E., L. Shastri, T. Thomas, C. Duggan and R. Bosch et al., 2015. Waist-to-height ratio as an indicator of high blood pressure in urban Indian school children. Indian Pediatr., 52: 773-778.
27.
Febriana, K., N. Nurani and M. Julia, 2015. Body mass index and waist-to-height ratio cut-offs as predictors of high blood pressure in adolescents. Med. J. Indonesia, 24: 30-35.
28.
Chen, X. and Y. Wang, 2008. Tracking of blood pressure from childhood to adulthood. Circulation, 117: 3171-3180.
29.
Kang, Y.S., 2013. Obesity associated hypertension: New insights into mechanism. Electrolytes Blood Pressure, 11: 46-52.
30.
Seibert, H., A.M.L. Pereira, S.A. Ajzen and P.C.K. Nogueira, 2013. Abdominal circumference measurement by ultrasound does not enhance estimating the association of visceral fat with cardiovascular risk. Nutrition, 29: 393-398.
31.
Smith, L.P., K. Gilstadâ€Hayden, A. Carrollâ€Scott and J. Ickovics, 2014. High waist circumference is associated with elevated blood pressure in nonâ€Hispanic White but not Hispanic children in a cohort of preâ€adolescent children. Pediatr. Obesity, 9: e145-e148.
32.
Huxley, R., S. Mendis, E. Zheleznyakov, S. Reddy and J. Chan, 2010. Body mass index, waist circumference and waist: Hip ratio as predictors of cardiovascular risk. A review of the literature. Eur. J. Clin. Nutr., 64: 16-22.
33.
Lee, C.M.Y., R.R. Huxley, R.P. Wildman and M. Woodward, 2008. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: A meta-analysis. J. Clin. Epidemiol., 61: 646-653.
34.
Moser, D.C., I. de Carlos Back Giuliano, A.C.K. Titski, A.R. Gaya, M.J. Coelho-e-Silva and N. Leite, 2013. Anthropometric measures and blood pressure in school children. J. Pediatr., 89: 243-249.
35.
Dua, S., M. Bhuker, P. Sharma, M. Dhall and S. Kapoor, 2014. Body mass index relates to blood pressure among adults. North Am. J. Med. Sci., 6: 89-95.
36.
Stevens, J., E.G. Katz and R.R. Huxley, 2010. Associations between gender, age and waist circumference. Eur. J. Clin. Nutr., 64: 6-15.
37.
Mazicioglu, M.M., N. Hatipoglu, A. Ozturk, B. Cicek, H.B. Ustunbas and S. Kurtoglu, 2010. Waist circumference and mid-upper arm circumference in evaluation of obesity in children aged between 6 and 17 years. J. Clin. Res. Pediatr. Endocrinol., 2: 144-150.
38.
Gray, L., I.M. Lee, H.D. Sesso and G.D. Batty, 2011. Blood pressure in early adulthood, hypertension in middle age, and future cardiovascular disease mortality: HAHS (Harvard Alumni Health Study). J. Am. College Cardiol., 58: 2396-2403.