Anthropometry, its usefulness in the prevention and diagnosis of high blood pressure
Keywords:
ANTHROPOMETRY, HYPERTENSION, INDICATORS OF MORBIDITY AND MORTALITY, HEALTH STATUS INDICATORS.Abstract
Introduction: high blood pressure occupies one of the first places in the morbidity and mortality rates in almost all the countries all over the world. The inclusion of anthropometric protocols for estimating body fat contributes to a better recognition of the risk of HBP, facilitating its prevention and control.
Objective: to update some aspects related to anthropometry and its usefulness in the assessment of the risk of suffering from hypertension.
Methods: a review was carried out in Websites such as IntraMed, PubMed, Cochrane Library, ScienceDirect and ClinicalKey, among others, using search strategies with MeSH terms.
Conclusions: the usefulness of anthropometry in the assessment and identification of factors associated with the development of high blood pressure was confirmed.
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1. Katamba G, Musasizi A, Kinene MA, Namaganda A, Muzaale F. Relationship of anthropometric indices with rate pressure product, pulse pressure and mean arterial pressure among secondary adolescents of 12-17 years. BMC Res Notes [Internet]. 2021[citado 28/10/2021]; 14(1):101. Disponible en: https://doi.org/10.1186/s13104-021-05515-w
2. Hernández Marín JD, Marrufo Patrón CA, López Rosales F. Efectos metabólicos en pacientes obesos posoperados de bypass gástrico laparoscópico: 5 años de experiencia en un hospital de tercer nivel. Cir Cir [Internet]. 2018 [citado 10/10/2021]; 86: 338-346. Disponible en: https://doi.org/10.24875/CIRU.M18000052
3. Vega Candelario R, Vega Jiménez J, Jiménez Jiménez UM. Caracterización epidemiológica de algunas variables relacionadas con el estilo de vida y los factores de riesgo cardiovascular en pacientes hipertensos. CorSalud [Internet]. 2018 Dic [citado 05/04/2021]; 10(4): 300-9. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2078-71702018000400300&lng=es
4. Rodríguez Hernández R, Paz Torres L, Ricardo Terán ER, Figueroa Rojas C, Tamayo Garayalde Y. La nutrición en los pacientes con hipertensión arterial [Internet], 2020 [citado 10/05/2021]. Disponible en: http://morfovirtual2020.sld.cu/index.php/morfovirtual/morfovirtual2020/paper/viewPaper/49
5. Del Moral Trinidad LE, Romo-González T, Carmona Figueroa YP, Barranca Enríquez A, Palmeros Exsome C, Campos-Uscanga Y. Potencial del índice de masa corporal como indicador de grasa corporal en jóvenes. Enferm Clin [Internet]. 2021[citado 10/10/2021]; 31(2):99-106. Disponible en: https://doi.org/10.1016/j.enfcli.2020.06.080
6. Súarez Yagual E. Estado nutricional relacionado a la hipertensión arterial en adultos mayores de la Fundación Melvin Jones 2018 [Tesis]. La Libertad: Universidad Estatal Península de Santa Elena; 2018 [citado 01/03/2021]. Disponible en: https://repositorio.upse.edu.ec/handle/46000/4537
7. Campos Nonato I, Hernández Barrera L, Oviedo Solís C, Ramírez Villalobos D, Hernández Prado B, Barquera S. Epidemiología de la hipertensión arterial en adultos mexicanos: diagnóstico, control y tendencias. Ensanut 2020. Salud Pública México[Internet]. 2021 [citado 28/06/2021]; 63(6): 692-704. Disponible en: https://www.medigraphic.com/pdfs/salpubmex/sal-2021/sal216c.pdf
8. Cossio Bolaños M, Gómez Campos R, Castelli Correia de Campos LF, Sulla Torres J, Urra-Albornoz C, Pires Lopes V. Muscle strength and body fat percentage in children and adolescents from the Maule region, Chile. Arch Argent Pediatr [Internet]. 2020[citado 10/10/2021]; 118(5): 320-326. Disponible en: https://doi.org/10.5546/aap.2020.eng.320
9. Lozano Berges G, Matute Llorente Á, Gómez Bruton A, González Agüero A, Vicente Rodríguez G, Casajús JA. Body fat percentage comparisons between four methods in young football players: are they comparable? Nutr Hosp [Internet]. 2017[citado 10/10/2021]; 34(5): 1119-1124. Disponible en: https://doi.org/10.20960/nh.760
10. Dirección de Registros Médicos y Estadísticas de Salud. Anuario Estadístico de Salud 2020 [Internet]. Ministerio de Salud Pública. La Habana; 2021 [citado 01/06/2021]. Disponible en: https://salud.msp.gob.cu/wp-content/Anuario/Anuario-2020.pdf
11. Mill Ferreyra E, Cameno Carrillo V, Saúl Gordo H, Camí-Lavado MC. Estimación del porcentaje de grasa corporal en función del índice de masa corporal y perímetro abdominal: fórmula Palafolls SEMERGEN [Internet]. 2019[citado 10/10/2021]; 45(2): 101-108. Disponible en: https://doi.org/10.1016/j.semerg.2018.04.007
12. Ruilope LM, Nunes Filho ACB, Nadruz W Jr, Rodríguez Rosales FF, Verdejo Paris J. Obesity and hypertension in Latin America: Current perspectives. Hipertens Riesgo Vasc [Internet]. 2018[citado 10/10/2021]; 35(2): 70-76. Disponible en: https://doi.org/10.1016/j.hipert.2017.12.004
13. García Casilimas GA, Martin DA, Martínez MA, Merchán CR, Mayorga CA, Barragán AF. Fisiopatología de la hipertensión arterial secundaria a obesidad Arch Cardiol Mex [Internet]. 2017[citado 15/10/2021]; 87(4): 336-344. Disponible en: https://doi.org/10.1016/j.acmx.2017.02.001
14. Iturzaeta A, Sáenz Tejeira MM. Early programming of hypertension. Programación temprana de la hipertensión arterial. Arch Argent Pediatr[Internet]. 2022[citado 15/02/2022]; 120(1): e8-e16. Disponible en: https://doi.org/10.5546/aap.2022.eng.e8
15. Lanas Zanetti F. Cambio del umbral diagnóstico de la hipertensión arterial en Latinoamérica. Rev Med Chil [Internet]. 2019[citado 15/10/2021]; 147(5): 543-544. Disponible en: https://doi.org/10.4067/S0034-98872019000500543
16. Gažarová M, Galšneiderová M, Mečiarová L. Obesity diagnosis and mortality risk based on a body shape index (ABSI) and other indices and anthropometric parameters in university students. Rocz Panstw Zakl Hig [Internet]. 2019[citado 15/10/2021]; 70(3): 267-275. Disponible en: https://doi.org/10.32394/rpzh.2019.0077
17. Mahmoud I, Al Wandi AS, Gharaibeh SS, Mohamed SA. Concordances and correlations between anthropometric indices of obesity: a systematic review. Public Health [Internet]. 2021[citado 15/10/2021]; 198: 301-306. Disponible en: https://doi.org/10.1016/j.puhe.2021.07.042
18. Sobhani Z, Amini M, Zarnaghash M, et al. Self-management Behaviors and Anthropometric Indices after Roux-en-Y Gastric Bypass. World J Surg [Internet]. 2021[citado 15/10/2021]; 45: 1812-1817. Disponible en: https://doi.org/10.1007/s00268-021-05959-y
19. Głuszek S, Ciesla E, Głuszek Osuch M, et al. Anthropometric indices and cut-off points in the diagnosis of metabolic disorders. PLoS One [Internet]. 2020 [citado 15/10/2021]; 15(6): e0235121. Disponible en: https://doi.org/10.1371/journal.pone.0235121
20. Alves Junior CA, Mocellin MC, Gonçalves ECA, Silva DA, Trindade EB. Anthropometric Indicators as Body Fat Discriminators in Children and Adolescents: A Systematic Review and Meta-Analysis. Adv Nutr [Internet]. 2017[citado 18/10/2021]; 8(5): 718-727. Disponible en: https://doi.org/10.3945/an.117.015446
21. 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 (Lond) [Internet]. 2021[citado 18/10/2021]; 18(1): 3. Disponible en: https://doi.org/10.1186/s12986-020-00536-x
22. Lee BJ, Yim MH. Comparison of anthropometric and body composition indices in the identification of metabolic risk factors. Sci Rep [Internet]. 2021[citado 18/10/2021]; 11(1): 9931. Disponible en: https://doi.org/10.1038/s41598-021-89422-x
23. Darbandi M, Pasdar Y, Moradi S, Mohamed HJJ, Hamzeh B, Salimi Y. Discriminatory Capacity of Anthropometric Indices for Cardiovascular Disease in Adults: A Systematic Review and Meta-Analysis. Prev Chronic Dis [Internet]. 2020[citado 28/10/2021]; 17: E131. Disponible en: https://doi.org/10.5888/pcd17.200112
24. Katamba G, Agaba DC, Migisha R, Namaganda A, Namayanja R, Turyakira E. Prevalence of hypertension in relation to anthropometric indices among secondary adolescents in Mbarara, Southwestern Uganda. Ital J Pediatr [Internet]. 2020[citado 28/10/2021]; 46: 76. Disponible en: https://doi.org/10.1186/s13052-020-00841-4
25. Cristine Silva K, Santana Paiva N, Rocha de Faria F, Franceschini SDCC, Eloiza Piore S. Predictive Ability of Seven Anthropometric Indices for Cardiovascular Risk Markers and Metabolic Syndrome in Adolescents. J Adolesc Health [Internet]. 2020[citado 28/10/2021]; 66(4): 491-498. Disponible en: https://doi.org/10.1016/j.jadohealth.2019.10.021
26. Mahmoud I, Sulaiman N. Significance and agreement between obesity anthropometric measurements and indices in adults: a population-based study from the United Arab Emirates. BMC Public Health [Internet]. 2021[citado 28/10/2021]; 21(1): 1605. Disponible en: https://doi.org/10.1186/s12889-021-11650-7
27. Wang F, Chen Y, Chang Y, Sun G, Sun Y. New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults. BMC Cardiovasc Disord [Internet]. 2018[citado 01/11/2021]; 18(1): 14. Disponible en: https://doi.org/10.1186/s12872-018-0754-z
28. Vallée A, Olié V, Lelong HÉL, Kretz S, Safar ME, Blacher J. Relationship between BMI and aortic stiffness: influence of anthropometric indices in hypertensive men and women. J Hypertens [Internet]. 2020[citado 01/11/2021]; 38(2): 249-256. Disponible en: https://doi.org/10.1097/HJH.0000000000002228
29. Wang Q, Wang Z, Yao W, et al. Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study. Med Sci Monit [Internet]. 2018[citado 01/11/2021]; 24: 1871-1879. Disponible en: https://doi.org/10.12659/msm.908257
30. Yang J, Wang F, Han X, et al. Different anthropometric indices and incident risk of hypertension in elderly population: a prospective cohort study.Zhonghua Yu Fang Yi Xue Za Zhi [Internet]. 2019 [citado 26/10/2021]; 53(3): 272-278. Disponible en: https://doi.org/10.3760/cma.j.issn.0253-9624.2019.03.007
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