Body Composition and Its Related to Hypertension in Elderly: A Cross-Sectional Study from Surakarta

Authors

  • Wahyu Tri Sudaryanto Physiotherapy Department, Faculty of Health Sciences, Universitas Muhammadiyah Surakarta, Indonesia, Indonesia
  • Wahyuni Wahyuni Physiotherapy Department, Faculty of Health Sciences, Universitas Muhammadiyah Surakarta, Indonesia, Indonesia
  • Isnaini Herawati Physiotherapy Department, Faculty of Health Sciences, Universitas Muhammadiyah Surakarta, Indonesia
  • Ika Yuli Ayuningrum Masters Program in Public Health, Universitas Sebelas Maret, Indonesia, Indonesia
  • Bhisma Murti Masters Program in Public Health, Universitas Sebelas Maret, Indonesia, Indonesia
  • Rizki Setiawan Physiotherapy Department, Faculty of Health Sciences, Universitas Muhammadiyah Surakarta, Indonesia, Indonesia
  • Nuristiqomah Dwi Putri Physiotherapy Department, Faculty of Health Sciences, Universitas Muhammadiyah Surakarta, Indonesia, Indonesia

DOI:

https://doi.org/10.36408/mhjcm.v10i3.873

Keywords:

body composition, body mass index, elderly, hypertension, waist circumference

Abstract

BACKGROUND: Several studies reported that obesity was linked to abnormal blood pressure. Obesity increases cardiovascular disease risk in adults and elderly. Body composition has been commonly measured using basic anthropometry, i.e body mass index (BMI). However, waist circumference (WC) is assumed to be more capable of capturing long-term visceral fat accumulation than BMI. Studies comparing BMI and WC to the risk of hypertension in the elderly are needed.

OBJECTIVE: The aim of this study was to compare the risk of body composition using body mass index and waist circumference as risk factors for hypertension in the elderly.

METHOD: A cross-sectional study was carried out in Surakarta, Central Java. A sample of 91 elderly was selected by convenience sampling. The dependent variable was hypertension. The independent variables included age, gender, body mass index (BMI), and central obesity (assessed by waist circum­ference). BMI and central obesity were used to measure body compo­sition. Blood pressure was measured by a sphygmomano­meter, body weight was measured by digital scale (kg), and body height was measured by stature meter (cm). Central obesity was categorized by waist circumference (WC in centimeter) measurement. The other variables were obtained from questionnaire. Comparison of body composition on hyper­tension were examined using simple logistic regression run on Stata 13.

RESULTS: Elderly with central obesity (waist circumference ≥94 cm for males or ≥80 cm for females) had higher risk hypertension and it was statistically significant (OR= 3.07; 95% CI= 1.10 to 8.53; p= 0.032).

CONCLUSION: Central obesity is significantly increase the risk hypertension in elderly.

Downloads

Download data is not yet available.

References

1. Waist circumference and waist-hip ratio: report of a WHO expert consultation. [Internet]. 2011 [cited 2022 Dec 12]. Available from: https://www.who.int/publications/i/item/9789241501491.

2. Ashwell M, Gibson S. A proposal for a primary screening tool: “Keep your waist circumference to less than half your height.”. BMC Med. 2014;12(1):1–6. https://doi.org/10.1186/s12916-014-0207-1.

3. Onuoha FM, Ebirim CC, Ajonuma BC, Alabi NT, Eseigbe P, Okezue OS. Correlation between central obesity and blood pressure in an adult Nigerian population. J Insul Resist. 2016;1(1):5. http://dx.doi.org/10.4102/jir.v1i1.16.

4.  Goon D, Libalela M, Amusa L, Muluvhu T. Screening for total and abdominal obesity among University of Venda students. African J Phys Act Heal Sci. 2013;19(4):1014–24. Available from: https://www.ajol.info/index.php/ajpherd/article/view/98416

5. Ashwell M, Gibson S. Waist-to-height ratio as an indicator of “early health risk”: simpler and more predictive than using a “matrix” based on BMI and waist circumference. BMJ Ope 2016;6(3). https://doi.org/10.1136/bmjopen-2015-010159.

6. Thaikruea L, Thammasarot J. Prevalence of normal weight central obesity among Thai healthcare providers and their association with CVD risk: a cross-sectional study. Sci Rep. 2016 Nov 16;6. Available from: https://pubmed.ncbi.nlm.nih.gov/27848990/.

7. Owolabi EO, Ter Goon D, Adeniyi OV. Central obesity and normal-weight central obesity among adults attending healthcare facilities in Buffalo City Metropolitan Municipality, South Africa: a cross-sectional study. J Health Popul Nutr. 2017;36(1). https://doi.org/10.1186%2Fs41043-017-0133-x.

8. American College of Cardiology. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/­NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018;71(19):e127–248. Available from: https://www.acc.org/latest-in-cardiology/articles/2017/11/08/11/47/mon-5pm-bp-guideline-aha-2017.

9. Center for Disease Control and Prevention. Body Mass Index (BMI). 2022. Available from: https://www.cdc.gov/healthyweight/assessing/bmi/index.html

10. Lin YA, Chen YJ, Tsao YC, Yeh WC, Li WC, Tzeng IS, et al. Relationship between obesity indices and hypertension among middle-aged and elderly populations in Taiwan: a community-based, cross-sectional study. BMJ Open. 2019;9(10). http://dx.doi.org/10.1136/bmjopen-2019-031660.

11. Sun JY, Hua Y, Zou HYY, Qu Q, Yuan Y, Sun GZ, et al. Association Between Waist Circumference and the Prevalence of (Pre) Hypertension Among 27,894 US Adults. Front Cardiovasc Med. 2021;8: 717257. https://doi.org/10.3389%2Ffcvm.2021.717257.

12. Putri MS, Supratman S. Gambaran Kualitas Hidup Pada Aspek Hubungan Sosial Penderita Hipertensi Di Wilayah Puskesmas Pajang Surakarta. Jurnal Berita Ilmu Keperawatan. 2021;14(2): 65-72. https://doi.org/10.23917/bik.v14i2.10441.

13. Kvamme JM, Holmen J, Wilsgaard T, Florholmen J, Midthjell K, Jacobsen BK. Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies. J Epidemiol Community Health. 2012; 66:611e617. http://dx.doi.org/10.1136/jech.2010.123232.

14. Ortega FB, Lavie CJ, Blair SN. Obesity and Cardiovascular Disease. Circ Res. 2016;118(11):1752–70. https://doi.org/10.1161/circresaha.115.306883.

15. St-Onge M-P, Gallagher D. Body composition changes with aging: the cause or result of alterations in metabolic rate and macronutrient oxidation?. Nutrition. 2010;26(2):152-155.

16. Noppa H, Andersson M, Bengtsson C, Bruce A, Isaksson B. Longitudinal studies of anthropometric data and body composition: the population study of women in Göteborg. Sweden Am J Clin Nutr. 2019; 33(1):1-6.

17. Javed AA, Aljied R, Allison DJ, Anderson LN, Ma J, Raina P (2020). Body mass index and all-cause mortality in older adults: A scoping review of observational studies. Obesity Reviews. 2020;1–12.

18. Di Angelantonio E, Bhupathiraju SN, Wormser D, Gao P, Kaptoge S, de Gonzalez AB, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet (London, England). 2016;388(10046):776–86. https://doi.org/10.1016/s0140-6736(16)30175-1.

19. Bhaskaran K, dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6(12):944–53. https://doi.org/10.1016/s2213-8587(18)30288-2.

20. Beaufrère B, Morio B. Fat and protein redistribution with aging: metabolic considerations. Eur J Clin Nutr. 2000;54(July 2000):S48-S53. https://doi.org/10.1038/sj.ejcn.1601025.

21. Mathus-Vliegen EMH. Obesity and the elderly. J Clin Gastroentero 2012;46(7):533–44. https://doi.org/10.1097/mcg.0b013e31825692ce.

22. Cetin DC, Nasr G. Obesity in the elderly: More complicated than you think. Cleve Clin J Med. 2014;81(1):51–61. https://doi.org/10.3949/ccjm.81a.12165.

23. Setters B, Holmes HM. Hypertension in the Older Adult. Prim Care. 2017;44(3):529. doi:10.1016/j.pop.2017.05.002.

24. Chau YY, Bandiera R, Serrels A, Martínez-Estrada OM, Qing W, Lee M, et al. Visceral and subcutaneous fat have different origins and evidence supports a mesothelial source Europe PMC Funders Group. Nat Cell Biol. 2014;16(4):367–75. https://doi.org/10.1038%2Fncb2922.

25. Neeland IJ, Poirier P, Després JP. The Cardiovascular and Metabolic Heterogeneity of Obesity: Clinical Challenges and Implications for Management. Circulation. 2018;137(13):1391. https://doi.org/10.1161/circulationaha.117.029617.

26. Wahyuni Y, Kholifah U, Jus'at I (2019). Macronutrient intake, vitamin c, purine intake, body mass index and uric acid levels in man (aged 26-45 years old) in rw 05 Sub-District Bukit Duri Jakarta. Jurnal Kesehatan. 12(2): 73-80. https://doi.org/10.23917/jk.v12i2.9763.

27. Fezeu L, Balkau B, Kengne AP, Sobngwi E, Mbanya JC. Metabolic syndrome in a sub-Saharan African setting: central obesity may be the key determinant. Atherosclerosis. 2007;193(1):70. https://doi.org/10.1016/j.atherosclerosis.2006.08.037.

28. De Lorenzo A, Bianchi A, Maroni P, Iannarelli A, Di Daniele N, Iacopino L, et al. Adiposity rather than BMI determines metabolic risk. Int J Cardiol. 2013;166(1):111–7. https://doi.org/10.1016/j.ijcard.2011.10.006.

29. Olinto M, Nacul L, Gigante D, Costa J, Menezes A, Macedo S. Waist circumference as a determinant of hypertension and diabetes in Brazilian women: a population-based study. Public Health Nutr. 2004;7(5):629–35. https://doi.org/10.1079/phn2003582.

30. Cai L, Liu A, Zhang Y, Wang P. Waist-to-height ratio and cardiovascular risk factors among Chinese adults in Beijing. PLoS One. 2013; 8: e69298.

Additional Files

Published

2023-11-29

How to Cite

1.
Sudaryanto WT, Wahyuni W, Herawati I, Ayuningrum IY, Murti B, Setiawan R, Putri ND. Body Composition and Its Related to Hypertension in Elderly: A Cross-Sectional Study from Surakarta . Medica Hospitalia J. Clin. Med. [Internet]. 2023 Nov. 29 [cited 2024 May 14];10(3):264-9. Available from: http://medicahospitalia.rskariadi.co.id/medicahospitalia/index.php/mh/article/view/873

Issue

Section

Original Article

Citation Check