Abstract
The objective of this paper is to analyze the relation of blood pressure values and the dimensions and different muscle and fat rates in healthy young women’s arms by means of data mining techniques. Methodology: 341 women from 18 to 29 years old were appraised in Divinópolis, Brazil and data on anthropometric measurements and Blood Pressure was collected and developed in multiple linear regression models using data mining techniques. Results: the average was 105,55 mmHg for systolic blood pressure (SBP) and 64,56 mmHg for diastolic blood pressure (DBP). The right arm’s SBP was higher when compared to the left arm (106,22 × 104,89) and DBP in the right arm was lower than it was in the left arm (63,94 × 65,19). The values of arm’s length (AL), triceps skinfold (TS) and arm’s muscle circumference (MC) correlates to SBP and DBP. The variables AL e MC can be considered forecasts of the increase of PAS and PAD’s values. Higher levels of MC Values with TS higher than 21,05 was a relevant factor in SBP’s increase. Conclusion: there are suggestions as to the dimensions and different fat and muscle rates being correlated with BP indirect measurement values: AL overestimates both SBP and DBP. TS and MC show distinct correlations between SBP and DBP according to specific intervals. Due to sex-related differences in the body composition of arms, can it be a measurement bias?
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mills, K.T., et al.: Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation 134(6), 441–450 (2016)
Brook, R.D., et al.: 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. Soc. Hypertens. 12(3), 238 (2017)
Teo, K., et al.: Prevalence of a healthy lifestyle among individuals with cardiovascular disease in high-, middle- and low-income countries the prospective urban rural epidemiology (PURE) study. JAMA 309(15), 1613–1621 (2013)
Moreira, J.P.L., Moraes, J.R., Luiz, R.R.: Prevalence of self-reported systemic arterial hypertension in urban and rural environments in Brazil: a population-based study. Cad. Saúde Pública 29(1), 62–72 (2013)
Zhou, B., et al.: Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19_1 million participants. Lancet 389(10064), 37–55 (2017)
Frisancho, A.R.: Anthropometric Standards for the Assessment of Growth and Nutritional Status. The University of Michigan Press, Ann Arbor (1990)
David, H., Robert, R., Jearl, W.: Fundamentals of Physics Extended, 10th edn. Editora Wiley, USA (2013)
Uluaszek, S.J., Hennberg, M.: Results of epidemiological studies of blood pressure are biased by continuous variation in arm size related to body mass. Hum. Biol. 84(4), 437–444 (2012)
Januário, L.H., et al.: Relationship between upper arm muscle index and upper arm dimensions in blood pressure measurement in symmetrical upper arms: statistical and classification and regression tree analysis. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds.) Trends and Advances in Information Systems and Technologies. WorldCIST2018 Advances in Intelligent Systems and Computing, vol 746. Springer, Cham (2018)
Neesha, J., Nur, A.A.R., Wahidah, H.: Data mining in healthcare – a review. Procedia Comput. Sci. 72, 306–313 (2015)
NHANES – National Health and Nutrition Examination Survey. Anthropometry Procedures Manual, http://www.cdc.gov/nchs/data/nhanes/nhanes07-08/manual_an.pdf. Accessed 17 Nov 2017
James, P.A. et al.: Evidence-based guideline for the management of high blood pressure in adults report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA 311(5), 507–520 (2014). Erratum in JAMA 311(17), 1809 (2014)
Weber, M.A., et al.: Clinical practice guidelines for the management of hypertension in the community: a statement by the American society of hypertension and the international society of hypertension. J. Hypertens. 32(1), 03–15 (2014)
Sociedade Brasileira de Cardiologia: Departamento de Hipertensão Arterial. VII Diretrizes brasileiras de hipertensão. Arq Bras Cardiol. 107(3), 01–83 (2016)
Leung, A.A., et al.: Hypertension Canada’s 2017 guidelines for diagnosis, risk assessment, prevention, and treatment of hypertension in adults. Can. J. Cardiol. 33(5), 557–576 (2017)
Kim, K.B., et al.: Inter-arm differences in simultaneous blood pressure measurements in ambulatory patients without cardiovascular diseases. Korean J. Fam. Med. 34(2), 98–106 (2013)
Fonseca-Reyes, S., Forsyth-MacQuarrie, A.M., García de Alba-García, J.E.: Simultaneous blood pressure measurement in both arms in hypertensive and nonhypertensive adult patients. Blood Press Monit. 17(4), 149–154 (2012)
Johansson, J.K., Puukka, P.J., Jula, A.M.: Interarm blood pressure difference and target organ damage in the general population. J. Hypertens. 32(2), 260–266 (2014)
Song, X., et al.: Association of simultaneously measured four-limb blood pressures with cardiovascular function: a cross-sectional study. Biomed. Eng. Online 15(2), 147, 247–260 (2016)
Her, A.Y., et al.: Association of inter-arm systolic blood pressure difference with coronary atherosclerotic disease burden using calcium scoring. Yonsei Med. J. 58(5), 954–958 (2017)
Hirono, A., et al.: Development and validation of optimal cut-off value in inter-arm systolic. blood pressure difference for prediction of cardiovascular events. J. Cardiol. 71(1), 24–30 (2017)
Farvid, M.S., et al.: Association of adiponectin and resistin with adipose tissue compartments, insulin resistance and dislipidaemia. Diabetes Obes. Metab. 7(4), 406–413 (2005)
Mendez, J., Keys, A.: Density and composition of mammalian muscle. Metabolism 9(2), 184–188 (1960)
Vaziri, Y., et al.: Lean body mass as a predictive value of hypertension in young adults, in Ankara, Turkey, Iran. J. Publ. Health 44(12), 1643–1654 (2015)
Wu, L.-W., et al.: Mid-arm muscle circumference as a significant predictor of all-cause mortality in male individuals. PLoS One 12(2), 01–11 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
de Oliveira Souza, P., de Oliveira, J.M.P., Januário, L.H. (2019). Indirect Measurement of Blood Pressure and Arm’s Body Composition in Women: Identification of Rules and Patterns Using Statistics and Data Mining. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 932. Springer, Cham. https://doi.org/10.1007/978-3-030-16187-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-16187-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16186-6
Online ISBN: 978-3-030-16187-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)