Correlation of anthropometric sizes with blood presure, total cholesterole level, and blood fasting glucose level in young adult

Jenny Novina Sitepu* -  Fakultas Kedokteran Universitas HKBP Nommensen, Indonesia
DOI : 10.30867/action.v8i3.999

Supp. File(s): common.other common.other common.other common.other

Obesity and overweight raised cardiovascular disease risk through metabolic disfunction. Anthropometric is a simple and non invasive examination  that can be used to detect metabolic disorders. This study aimed to evaluated correlation of anthropometic sizes (BMI, WC, WHR, and skinfold) with systolic and diastolic blood pressure (BP), total cholesterol (TC), and fasting blood glucose (FBG). This cross sectional study involved 88 young adults as subject in 2019. Total cholesterol and fasting blood glucose was examined by digital rapid test, taken in the morning after 10-12 hours fasting. Datas were analyzed univariately to describe each variable. Then, datas were analyzed bivariately using Pearson correlation test for BMI, WC, WHR, TC, FBG, and Spearman rho test for skinfold and BP. The study showed that BMI correlated with dyastolic BP, and total cholesterol (p<0,05). WC correlated with systolic BP and diastolic BP (p<0,05). Biceps skinfold correlated with systolic BP, dyastolic BP, and total cholesterol (p<0,05). Triceps skinfold correlated with systolic BP, dyastolic BP, and total cholesterol (p<0,05). Suprailiaca skinfold correlated with systolic BP, dyastolic BP, and total cholesterol (p<0,05). In Conclusion, anthropometric can be used as predictor of total cholesterol level and blood pressure in young adult subjects.

 

Supplement Files

Keywords : Anthropometric, cardiovascular, cholesterol

  1. Abaa, Y. P., Polii, H., & Wowor, P. M. (2017). Gambaran Tekanan Darah, Indeks Massa Tubuh, dan Aktivitas Fisik pada Mahasiswa Kedokteran Umum Angkatan Tahun 2014. Jurnal E-Biomedik, 5(2). https://doi.org/10.35790/ebm.5.2.2017.18509
  2. Al, N. et. (2015). Associations between anthropometric parameters and serum lipids in preadolescent and adolescent girls and boys. Clinical Lipidology, 10(2), 119–128.
  3. Alquraishi, & Rababah. (2016). Lipid profiles and body mass index of young students in Jordan. BioRxiv.
  4. Anggraeini. (2012). Asuhan gizi; nutrional care process. (1st ed.). Graha Ilmu.
  5. Angi, A., & Chiarelli, F. (2020). Obesity and diabetes: A sword of damocles for future generations. Biomedicines, 8(11), 1–15. https://doi.org/10.3390/biomedicines8110478
  6. Astuti, Widyastuti, & Kusumastuti. (2017). Hubungan beberapa indikator obesitas dengan tekanan darah wanita dewasa muda. J Nutr Coll, 6(3), 219–225. https://doi.org/10.1038/184156a0
  7. Busayo Akinola, O., Gabriel Omotoso, O., Abdulazeez Akinlolu, A., Deborah Ayangbemi, K., & Akinola, O. B. (2014). Identification of the Anthropometric Index That Best Correlates With Fasting Blood Glucose and Bmi in Post-Pubescent Female Nigerians. Anatomy Journal of Africa, 3(2), 324–328.
  8. Cho, Kirigia, Mbanya, & Reja. (2017). IDF Diabetes Atlas (Karuranga, Fernandes, Huang, & Malanda (eds.); 8th ed.).
  9. Dengan, A., Massa, I., Rorong, G., & Purwanto, D. (2011). Fakultas Kedokteran Universitas Sam Ratulangi. Gambaran Kadar Glukosa Darah Puasa Mahasiswa Kedokteran Universitas Sam Ratulangi Angkatan 2011 Dengan Indeks Massa ≥ 23 Kg/M2, 300–304.
  10. Giron, M. S., & de la Vega, S. A. (2022). Prevalence of Diabetes Among Community-Living Older Persons in the Philippines: The FITforFrail Study. Journal of the ASEAN Federation of Endocrine Societies, 37(2), 23–27. https://doi.org/10.15605/jafes.037.02.15
  11. Guyton, & Hall. (2012). Buku Ajar Fisiologi Kedokteran (11th ed.). EGC.
  12. Heymsfield S. B, B. R. N. (2006). Body composition and anthropometry in Modern nutrition in health and disease tenth edition (C. R. J. Shills M., Shike M., Ross A. C., Caballero B. (ed.)). Lippincott Willams & Wilkins.
  13. Jennifer. (2016). Hubungan lingkar pinggang dan rasio lingkar pinggang dan panggul sanita terhadap risiko penyakit kardiovaskuler di Desa Kepuharjo Cangkringan Yogyakarta. Universitas Sanata Dharma.
  14. Kapil, U., Bhadoria, A. S., Sareen, N., & Kaur, S. (2013). Brief Communication Association of body mass index and waist circumference with hypertension among school children in the age group of 5-16 years belonging to lower income group and middle income group in National Capital Territory of Delhi. 17, 345–348. https://doi.org/10.4103/2230-8210.119614
  15. Kotchen. (2012). Hypertensive Vascular Disease. In Longo, Kasper, Jameson, F. AS, Hauser, & Loscalzo (Eds.), Harrison’s Principles of Internal Medicine (18th ed., pp. 2042–2059). The McGraw-Hill Companies.
  16. Kumar V, Abbas A, F. N. R. & C. (2009). Dasar Patologis Penyakit (R. L. Rachman L, Dany F (ed.); 7th ed.). EGC.
  17. McPhee, SJ, Papadakis, MA, Rabow, M. (2011). 2011 Current Medical Diagnosis and Treatment, 15th Edition (15th ed.). McGraw Hill Companies.
  18. Nordestgaard, B. G., Palmer, T. M., Benn, M., Zacho, J., Tybjærg-Hansen, A., Smith, G. D., & Timpson, N. J. (2012). The effect of elevated body mass index on ischemic heart disease risk: Causal estimates from a mendelian randomisation approach. PLoS Medicine, 9(5). https://doi.org/10.1371/journal.pmed.1001212
  19. Obregon, M. J. (2010). Maternal obesity results in offspring prone to metabolic syndrome. Endocrinology, 151(8), 3475–3476. https://doi.org/10.1210/en.2010-0611
  20. Oliviera, Chritina, Jesus, Pascoal, & Hunaldo. (2014). Correlation between anthropometric indicators and blood pressure in adolescents. Text Context Nursing, 23(4), 995–1004.
  21. Parker, E. D., Sinaiko, A. R., Kharbanda, E. O., Margolis, K. L., Daley, M. F., Trower, N. K., Sherwood, N. E., Greenspan, L. C., Lo, J. C., Magid, D. J., & O’Connor, P. J. (2016). Change in weight status and development of hypertension. Pediatrics, 137(3). https://doi.org/10.1542/peds.2015-1662
  22. Pazin, D. C., Rosaneli, C. F., Olandoski, M., de Oliveira, E. R. N., Baena, C. P., Figueredo, A. S., Baraniuk, A. O., Kaestner, T. L. da L., Guarita-Souza, L. C., & Faria-Neto, J. R. (2017). Waist circumference is associated with blood pressure in children with normal body mass index: A cross-sectional analysis of 3,417 school children. Arquivos Brasileiros de Cardiologia, 109(6), 509–515. https://doi.org/10.5935/abc.20170162
  23. Rizk, N. M., & Yousef, M. (2012). Association of lipid profile and waist circumference as cardiovascular risk factors for overweight and obesity among school children in Qatar. Diabetes, Metabolic Syndrome and Obesity, 5, 425–432. https://doi.org/10.2147/DMSO.S39189
  24. Schmidt, M., Johannesdottir, S. A., Lemeshow, S., Lash, T. L., Ulrichsen, S. P., Botker, H. E., & Sorensen, H. T. (2013). Obesity in young men, and individual and combined risks of type 2 diabetes, cardiovascular morbidity and death before 55 years of age: A danish 33-year follow-up study. BMJ Open, 3(4), 1–3. https://doi.org/10.1136/bmjopen-2013-002698
  25. Soegih, R. (2004). BMI and WC cut offs for the risk of comorbidities of obesity in a population in Indonesia. Medical Journal of Indonesia, 13(4), 241–246. https://doi.org/10.13181/mji.v13i4.159
  26. Tirosh, A., Shai, I., Afek, A., Dubnov-Raz, G., Ayalon, N., Gordon, B., Derazne, E., Tzur, D., Shamis, A., Vinker, S., & Rudich, A. (2011). Adolescent BMI Trajectory and Risk of Diabetes versus Coronary Disease. New England Journal of Medicine, 364(14), 1315–1325. https://doi.org/10.1056/nejmoa1006992
  27. Tsai SL, Seiler KJ, & J, J. (2013). Morning cortisol levels affected by sex and pubertal status in children and young adults. JCRPE Journal of Clinical Research in Pediatric Endocrinology, 5(2), 85–89. https://doi.org/10.4274/Jcrpe.892
  28. Whelton, Carey, Aronow, & Wright. (2018). 2017 ACC/ AHA/ AAPA/ ABC/ ACPM/ AGS/ APhA/ ASH/ NMA/ PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adult. Journal of American College of Cardiology, 71(19).
  29. WHO-SEARO. (2011). Noncommunicable diseases in the South-East Asia Region: Situation and response 2011.
  30. WHO. (2016). Report of commission on ending childhood obesity.
  31. WHO. (2017). Cardiovascular disease.
  32. WHO. (2018). Noncommunicable Diseases Country Profiles 2018.
  33. WHO. (2021). Obesity and overweight. Www.Who.Int. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
  34. Yang, Z., Ding, X., Liu, J., Duan, P., Si, L., Wan, B., & Tu, P. (2017). Associations between anthropometric parameters and lipid profiles in Chinese individuals with age 40 years and BMI <28kg/m2. PLoS ONE, 12(6), 1–11. https://doi.org/10.1371/journal.pone.0178343
  35. Zhao, X., Yu, J., Hu, F., Chen, S., & Liu, N. (2022). Association of body mass index and waist circumference with falls in Chinese older adults. Geriatric Nursing, 44, 245–250. https://doi.org/10.1016/j.gerinurse.2022.02.020

Open Access Copyright (c) 2023 Jenny Novina Sitepu
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

AcTion: Aceh Nutrition Journal
Published by: Department of Nutrition at the Health Polytechnic of Aceh, Ministry of Health.
Soekarno-Hatta Street, No. 168. Health Polytechnic of Aceh, Aceh Besar, 23352. Telp/Fax: 0651 46126 / 0651 46121.
Website: https://gizipoltekkesaceh.ac.id/
E-mail: [email protected]

e-issn: 2548-5741, p-issn: 2527-3310

All content is licensed under a: Creative Commons Attribution ShareAlike 4.0 International License

View My Stats

Get a feed by atom here, RRS2 here and OAI Links here