Login Register Cart 0
Generic placeholder image

Current Hypertension Reviews

Editor-in-Chief

ISSN (Print): 1573-4021
ISSN (Online): 1875-6506

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

The Novelty of using Obesity Indices as Blood Pressure Predictors

Author(s): Buthaina Alkhatib*, Lana M. Agraib, Islam Al-Shami and Anfal AL-Dalaeen

Volume 20, Issue 1, 2024

Published on: 30 November, 2023

Page: [36 - 43] Pages: 8

DOI: 10.2174/0115734021277171231114103758

Price: $65

Abstract

Aims: To study the association between selected obesity indices, systolic blood pressure (SBP), and diastolic blood pressure (DBP).

Methods: A cross-sectional study on 491 Jordanian adults (19-65 years old). The sociodemographic data, anthropometrics, and blood pressure were measured and recorded. Obesity indices (Conicity Index (CI), Abdominal volume index (AVI), Body Roundness Index (BRI), and Weight-adjusted-waist index (WWI)) were calculated using standard validated formulas.

Results: Based on age, the SBP had a significant moderate correlation with BRI and AVI in all age groups. In the age group 20 to 34 years, SBP had a significantly moderate correlation with CI, and DBP had a significantly moderate correlation with BRI and AVI. In the age group 35 to 44 years, DBP had a significantly moderate correlation with CI, BRI, WWI, and AVI. For the age group 45 to 65 years, the SBP had a significantly moderate correlation with all the obesity indexes, opposite to DBP. Obesity indices explain 23.6% to 24.1% of the changeability in SBP, and one unit increase in them resulted in an increase in SBP range from 0.61 ± 0.14 to 19.88 ± 4.45. For DBP, obesity indices explained 15.9% to 16.3% of the variability in DBP, and raising them by one unit led to an increase in the DBP range from 0.27 ± 0.11 to 10.08 ± 4.83.

Conclusion: All the studied obesity indices impacted SBP and DBP with the highest reported effect for AVI and BRI and a lower impact for WWI. The impact of obesity indices on DBP was affected by age group.

Keywords: Systolic blood pressure, diastolic blood pressure, conicity index, obesity indices, hypertension, cardiovascular disease.

« Previous Next »
Graphical Abstract

[1]
Calderón-García JF, Roncero-Martín R, Rico-Martín S, et al. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in predicting hypertension: A systematic review and meta-analysis of observational studies. Int J Environ Res Public Health 2021; 18(21): 11607.
[http://dx.doi.org/10.3390/ijerph182111607] [PMID: 34770120]
[2]
Candan S, Candan OO, Karabag T. The relationship between nocturnal blood pressure drop and body composition indices among hypertensive patients. J Clin Hypertens 2020; 22(4): 616-22.
[http://dx.doi.org/10.1111/jch.13832] [PMID: 32092245]
[3]
Ding C, Shi Y, Li J, et al. Association of weight-adjusted-waist index with all-cause and cardiovascular mortality in China: A prospective cohort study. Nutr Metab Cardiovasc Dis 2022; 32(5): 1210-7.
[http://dx.doi.org/10.1016/j.numecd.2022.01.033] [PMID: 35277327]
[4]
Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380(9859): 2224-60.
[http://dx.doi.org/10.1016/S0140-6736(12)61766-8 ] [PMID: 23245609]
[5]
Zhou B, Perel P, Mensah GA, Ezzati M. Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension. Nat Rev Cardiol 2021; 18(11): 785-802.
[http://dx.doi.org/10.1038/s41569-021-00559-8] [PMID: 34050340]
[6]
WHO. World Health Organization NCD global monitoring framework. Geneva: World Health Organization 2013.
[7]
Baveicy K, Mostafaei S, Darbandi M, Hamzeh B, Najafi F, Pasdar Y. Predicting metabolic syndrome by visceral adiposity index, body roundness index and a body shape index in adults: a cross-sectional study from the Iranian RaNCD cohort data. Diabetes Metab Syndr Obes 2020; 13: 879-87.
[http://dx.doi.org/10.2147/DMSO.S238153] [PMID: 32273739]
[8]
Diniz K, Rocha SV, Oliveira ACC. Anthropometric indicators of obesity include predictors of high blood pressure in the elderly. Rev Bras Cineantropom Desempenho Hum 2017; 19: 31-9.
[9]
WHO. Obesity and overweight 2020.https://www.who.int/news-room/fact-sheets/detail/obesity-andoverweight
[10]
Mills KT, Stefanescu A, He J. The global epidemiology of hypertension. Nat Rev Nephrol 2020; 16(4): 223-37.
[http://dx.doi.org/10.1038/s41581-019-0244-2] [PMID: 32024986]
[11]
Drozdz D, Alvarez-Pitti J, Wójcik M, et al. Obesity and cardiometabolic risk factors: From childhood to adulthood. Nutrients 2021; 13(11): 4176.
[http://dx.doi.org/10.3390/nu13114176] [PMID: 34836431]
[12]
Owiredu W, Osei-Yeboah J, Aryee C, Owusu-Dabo E, Laing E, Owusu I. Gender specific predictive performance and optimal threshold of anthropometric indices for the prediction of hypertension among a Ghanaian population in Kumasi. Asian J Med Health 2018; 9(3): 1-10.
[http://dx.doi.org/10.9734/AJMAH/2017/37772]
[13]
Adegoke O, Ozoh OB, Odeniyi IA, et al. Prevalence of obesity and an interrogation of the correlation between anthropometric indices and blood pressures in urban Lagos, Nigeria. Sci Rep 2021; 11(1): 3522.
[http://dx.doi.org/10.1038/s41598-021-83055-w] [PMID: 33568712]
[14]
Chang Y, Guo X, Chen Y, et al. A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China. BMC Public Health 2015; 15(1): 794.
[http://dx.doi.org/10.1186/s12889-015-2150-2] [PMID: 26286520]
[15]
Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One 2012; 7(7): e39504.
[http://dx.doi.org/10.1371/journal.pone.0039504] [PMID: 22815707]
[16]
Stefanescu A, Revilla L, Lopez T, et al. Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults. J Int Med Res 2020; 48(1)
[http://dx.doi.org/10.1177/0300060519848854] [PMID: 31144540 ]
[17]
Tian T, Zhang J, Zhu Q, Xie W, Wang Y, Dai Y. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China. BMC Public Health 2020; 20(1): 1317.
[http://dx.doi.org/10.1186/s12889-020-09423-9] [PMID: 32867710]
[18]
Nkwana MR, Monyeki KD, Lebelo SL. Body roundness index, a body shape index, conicity index, and their association with nutritional status and cardiovascular risk factors in South African rural young adults. Int J Environ Res Public Health 2021; 18(1): 281.
[http://dx.doi.org/10.3390/ijerph18010281] [PMID: 33401502]
[19]
Christakoudi S, Tsilidis KK, Muller DC, et al. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort. Sci Rep 2020; 10(1): 14541.
[http://dx.doi.org/10.1038/s41598-020-71302-5] [PMID: 32883969]
[20]
Nieman DC, Lee R. Nutritional assessment: McGraw-Hill Education United States of America. 2019.
[21]
WHO. Obesity: preventing and managing the global epidemic Report of a WHO consultation 2000.https://apps.who.int/iris/handle/10665/42330
[22]
Tian S, Zhang X, Xu Y, Dong H. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices. Medicine 2016; 95(34): e4642.
[http://dx.doi.org/10.1097/MD.0000000000004642 ] [PMID: 27559964]
[23]
Gowda V, Philip K. Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic class. Int J Med Sci Public Health 2016; 5(7): 1452-6.
[http://dx.doi.org/10.5455/ijmsph.2016.13102015231]
[24]
Park Y, Kim NH, Kwon TY, Kim SG. A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality. Sci Rep 2018; 8(1): 16753.
[http://dx.doi.org/10.1038/s41598-018-35073-4] [PMID: 30425288]
[25]
Quaye L, Owiredu WKBA, Amidu N, Dapare PPM, Adams Y. Comparative abilities of body mass index, waist circumference, abdominal volume index, body adiposity index, and conicity index as predictive screening tools for metabolic syndrome among apparently healthy Ghanaian adults. J Obes 2019; 2019: 8143179.
[http://dx.doi.org/10.1155/2019/8143179]
[26]
Ajlouni K, Khader Y, Batieha A, Jaddou H, El-Khateeb M. An alarmingly high and increasing prevalence of obesity in Jordan. Epidemiol Health 2020; 42: e2020040.
[http://dx.doi.org/10.4178/epih.e2020040] [PMID: 32512659]
[27]
Donkor N, Farrell K, Ocho O, et al. Correlates of obesity indices and cardiovascular disease risk factors among Trinidadian nurses. Int J Afr Nurs Sci 2020; 12: 100194.
[http://dx.doi.org/10.1016/j.ijans.2020.100194]
[28]
Islam MR, Moinuddin M, Saqib SM, Rahman SM. Relationship of anthropometric indicators of general and abdominal obesity with hypertension and their predictive performance among Albanians: A nationwide cross-sectional study. Nutrients 2021; 13(10): 3373.
[http://dx.doi.org/10.3390/nu13103373] [PMID: 34684374]
[29]
Raya-Cano E, Molina-Recio G, Romero-Saldaña M, Álvarez-Fernández C, Hernández-Reyes A, Molina-Luque R. Comparison of classic and new anthropometric indexes for the screening of metabolic syndrome on the working population. Rev Esp Salud Pública 2020; 94: 94.
[PMID: 32493897]
[30]
Jeppu AK, Kumar KA. An interrelationship between blood pressure, body roundness index, waist circumference, and waist to height ratio. Recent Adv Biol Med 2019; 5(2019): 10337.
[31]
Liu XZ, Qian JD, Li HH, et al. Body roundness index is significantly associated with prehypertension and hypertension in nonobese Chinese subjects. Biomed Environ Sci 2019; 32(11): 854-9.
[PMID: 31910942]
[32]
Xu J, Zhang L, Wu Q, et al. Body roundness index is a superior indicator to associate with the cardiometabolic risk: evidence from a cross-sectional study with 17,000 Eastern-China adults. BMC Cardiovasc Disord 2021; 21(1): 97.
[http://dx.doi.org/10.1186/s12872-021-01905-x] [PMID: 33593274]
[33]
Wu L, Zhu W, Qiao Q, Huang L, Li Y, Chen L. Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults. Nutr Metab 2021; 18(1): 3.
[http://dx.doi.org/10.1186/s12986-020-00536-x] [PMID: 33407674]
[34]
Khan M, Rutten BPF, Kim MO. MST1 regulates neuronal cell death via JNK/Casp3 signaling pathway in HFD mouse brain and HT22 cells. Int J Mol Sci 2019; 20(10): 2504.
[http://dx.doi.org/10.3390/ijms20102504] [PMID: 31117242]
[35]
Lee X, Gao Y, Zhang Y, et al. Comparison of 10 obesity-related indices for predicting hypertension based on ROC analysis in Chinese adults. Front Public Health 2022; 10: 1042236.
[http://dx.doi.org/10.3389/fpubh.2022.1042236] [PMID: 36504986]
[36]
Li Q, Qie R, Qin P, et al. Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study. Nutr Metab Cardiovasc Dis 2020; 30(10): 1732-41.
[http://dx.doi.org/10.1016/j.numecd.2020.05.033] [PMID: 32624344]
[37]
Fang H, Xie F, Li K, Li M, Wu Y. Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study. BMC Cardiovasc Disord 2023; 23(1): 435.
[http://dx.doi.org/10.1186/s12872-023-03452-z] [PMID: 37658325]
[38]
Xiong Y, Shi W, Huang X, et al. Association between weight-adjusted waist index and arterial stiffness in hypertensive patients: The China H-type hypertension registry study. Front Endocrinol 2023; 14: 1134065.
[http://dx.doi.org/10.3389/fendo.2023.1134065] [PMID: 37008949]

Rights & Permissions Print Cite
Article Metrics
7
1
© 2024 Bentham Science Publishers | Privacy Policy