Publicado

2025-02-27

Asociación entre porcentaje de grasa corporal y presión arterial media elevada en adultos peruanos: un estudio analítico

Association between body fat percentage and elevated mean arterial pressure in Peruvian adults: an analytical study

DOI:

https://doi.org/10.15446/revfacmed.v74.118415

Palabras clave:

Distribución de la Grasa Corporal, Hipertensión, Sobrepeso, Medidas de Asociación, Vulnerabilidad en Salud (es)
Body Fat Distribution, Hypertension, Overweight, Measures of Association, Health Vulnerability (en)

Autores/as

Introducción. El exceso de grasa corporal es un factor de riesgo independiente para hipertensión arterial. Sin embargo, esta relación ha sido poco explorada en grandes grupos poblacionales.

Objetivo. Evaluar la asociación entre el porcentaje de grasa corporal (%GC) y la presión arterial media (PAM) elevada en adultos peruanos.

Materiales y métodos. Estudio analítico y transversal basado en datos de 28 611 adultos peruanos que participaron en la Encuesta Demográfica y de Salud Familiar de 2022. Para evaluar la asociación entre %GC y PAM elevada se realizó un análisis bivariado (prueba chi-cuadrado con V de Cramer y cálculo de Odds Ratio [OR]) y un análisis multivariado (modelo de regresión logística linear binaria con eliminación hacia atrás). También se evaluó la correlación entre %GC y PAM (coeficiente de correlación de Spearman).

Resultados. De los 28 611 registros incluidos, 57.40% eran mujeres y 56.18% tenían un %GC elevado. El promedio de PAM fue significativamente mayor en aquellos con un %GC elevado tanto en mujeres (88.37 vs. 80.27) como en hombres (95.51 vs. 87.01). En el análisis bivariado, tener un %GC elevado se asoció significativamente con una mayor probabilidad de PAM elevada en mujeres (OR=4.897; p<0.001, V=0.294) y en hombres (OR=4.064; p<0.001, V=0.336). En el análisis multivariado, tener un %GC elevado aumentó la probabilidad de tener PAM elevada 2.6 (OR=2.65; p<0.001) y 2.15 (OR=2.150; p<0.001) veces en hombres y mujeres, respectivamente. La correlación entre %GC y PAM fue moderada en mujeres (Rho=0.464) y hombres (Rho=0.441).

Conclusiones. El %GC se asoció de forma independiente con mayor probabilidad de PAM elevada en adultos peruanos.

Introduction: Excess body fat is an independent risk factor for high blood pressure. However, this relationship has been scarcely explored in large population groups.

Objective: To evaluate the association between body fat percentage (BF%) and elevated mean arterial pressure (MAP) in Peruvian adults.

Materials and methods: Analytical, cross-sectional study based on data from 28 611 Peruvian adults who participated in the Encuesta Nacional Demográfica De Salud Familiar - 2022 (National Demographic and Family Health Survey 2022). To evaluate the association between BF% and elevated MAP, a bivariate analysis (chi-square test with Cramer's V and odds ratio [OR] calculation) and a multivariate analysis (binary linear logistic regression model with backward elimination) were performed. The correlation between BF% and MAP (Spearman’s correlation coefficient) was also evaluated.

Results: Of the 28 611 records included, 57.40% were women and 56.18% had a high BF%. The average MAP was significantly higher in individuals with a high BF% in both women (88.37 vs. 80.27) and men (95.51 vs. 87.01). In the bivariate analysis, having a high BF% was significantly associated with a higher probability of elevated MAP in women (OR=4.897; p<0.001, V=0.294) and men (OR=4.064; p<0.001, V=0.336). In the multivariate analysis, having a high BF% increased the probability of having high BP by 2.6 (OR=2.65; p<0.001) and 2.15 (OR=2.150; p<0.001) times in men and women, respectively. The correlation between BF% and MAP was moderate in women (Rho=0.464) and men (Rho=0.441).

Conclusions: BF% was independently associated with a higher probability of elevated MAP in Peruvian adults.

Referencias

1. Mainous AG, Yin L, Wu V, Sharma P, Jenkins BM, Saguil AA, Nelson DS, et al. Body Mass Index vs Body Fat Percentage as a Predictor of Mortality in Adults Aged 20-49 Years. Ann Fam Med. 2025;23(4):337-43.

doi: 10.1370/afm.240330. PMID: 40555527; PMCID: PMC12306999.

2. Wong JC, O’Neill S, Beck BR, Forwood MR, Khoo SK. Comparison of obesity and metabolic syndrome prevalence using fat mass index, body mass index and percentage body fat. PLoS One. 2021;16(1):e0245436. doi: 10.1371/journal.pone.0245436 PMID: 33444369; PMCID: PMC7808627.

3. Bell JA, Carslake D, O’Keeffe LM, Frysz M, Howe LD, Hamer M, et al. Associations of body mass and fat indexes with cardiometabolic traits. J Am Coll Cardiol. 2018;72(24):3142-54. doi: 10.1016/j.jacc.2018.09.066. PMID: 30545453; PMCID: PMC6290112.

4. Nuttall FQ. Body mass index: Obesity, BMI, and health A critical review. Nutr Today. 2015;50(3):117-28. doi: 10.1097/NT.0000000000000092. PMID: 27340299; PMCID: PMC4890841.

5. Khanna D, Peltzer C, Kahar P, Parmar MS. Body mass index (BMI): A screening tool analysis. Cureus. 2022;14(2):e22119. doi: 10.7759/cureus.22119. PMID: 35308730; PMCID: PMC8920809.

6. Gurunathan U, Myles PS. Limitations of body mass index as an obesity measure of perioperative risk.

Br J Anaesth. 2016;116(3):319-21. doi: 10.1093/bja/aev541. PMID: 26865129.

7. Shariq OA, McKenzie TJ. Obesity-related hypertension: a review of pathophysiology, management, and the role of metabolic surgery. Gland Surg. 2020;9(1):80-93. doi: 10.21037/gs.2019.12.03. PMID: 32206601; PMCID: PMC7082272.

8. Usui I. Hypertension and insulin resistance in adipose tissue. Hypertens Res. 2023;46(6):1478-81.

doi: 10.1038/s41440-023-01263-5. PMID: 37016025.

9. Hall JE, Mouton AJ, da Silva AA, Omoto ACM, Wang Z, Li X, et al. Obesity, kidney dysfunction, and inflammation: interactions in hypertension. Cardiovasc Res. 2021;117(8):1859-76. doi: 10.1093/cvr/cvaa336. PMID: 33258945; PMCID: PMC8262632.

10. Hammoud SH, AlZaim I, Al-Dhaheri Y, Eid AH, El-Yazbi AF. Perirenal adipose tissue inflammation: Novel insights linking metabolic dysfunction to renal diseases. Front Endocrinol (Lausanne). 2021;12:707126. doi: 10.3389/fendo.2021.707126. PMID: 34408726; PMCID: PMC8366229.

11. Da Silva AA, do Carmo J, Dubinion J, Hall JE. The role of the sympathetic nervous system in obesity-related hypertension. Curr Hypertens Rep. 2009;11(3):206-11. doi: 10.1007/s11906-009-0036-3.

PMID: 19442330; PMCID: PMC2814329.

12. Hall JE, do Carmo JM, da Silva AA, Wang Z, Hall ME. Obesity, kidney dysfunction and hypertension: mechanistic links. Nat Rev Nephrol. 2019;15(6):367-85. doi:10.1038/s41581-019-0145-4. PMID: 31015582; PMCID: PMC7278043.

13. Islam ANMS, Sultana H, Nazmul Hassan Refat M, Farhana Z, Abdulbasah Kamil A, Meshbahur Rahman M. The global burden of overweight-obesity and its association with economic status, benefiting from STEPs survey of WHO member states: A meta-analysis. Prev Med Rep. 2024;46:102882. doi: 10.1016/j.pmedr.2024.102882. PMID: 39290257; PMCID: PMC11406007.

14. Tarqui-Mamani C, Alvarez-Dongo D, Espinoza-Oriundo PL, Sanchez-Abanto JR. Análisis de la tendencia del sobrepeso y obesidad en la población peruana. Rev Esp Nutr Humana Diet. 2017;21(2):137-47.

doi: 10.14306/renhyd.21.2.312.

15. Semana de Oro del Perú 2025: el 62% de la población peruana mayor de 15 años tiene exceso de peso [Internet]. Lima: Ministerio de Salud; 2025 [cited 2025 Feb 9]. Available from: https://tinyurl.com/478s5r9e.

16. Perú. Instituto Nacional de Estadística e Informática (INEI). Perú: Encuesta Demográfica y de Salud Familiar ENDES 2024 [Internet]. Lima: INEI; 2022 [cited 2025 Jan 29]. Available from: https://tinyurl.com/3sezvvwa.

17. World Health Organizatión (WHO). Hypertension [Internet]. Geneva: WHO; 2025 [cited 2026 Feb 9]. Available from: https://tinyurl.com/ya4efpyk.

18. Organización Panamericana de la Salud (OPS). Hipertensión [Internet]. Washington D.C.: OPS; 2025 [cited 2026 Feb 9]. Available from: https://tinyurl.com/5by7pmvj.

19. Más de cinco millones de peruanos sufren de hipertensión arterial y la mitad no lo sabe [Internet]. Lima: Ministerio de Salud; 2025 [cited 2025 Feb 10]. Available from: https://tinyurl.com/4ydvmp79.

20. Perú. Instituto Nacional de Estadística e Informática (INEI). Perú: Encuesta Demográfica y de Salud Familiar ENDES 2023 [Internet]. Lima: INEI; 2022 [cited 2025 Jan 29]. Available from: https://tinyurl.com/3358f77j.

21. Alvarez-Arias P, Huanca-Yufra F, Caira B, Zafra-Tanaka JH, Moreno-Loaiza O. Prevalencia de hipertensión arterial en Perú según las nuevas recomendaciones de la guía AHA 2017: análisis secundario de Endes 2016. Salud Publica Mex. 2019;61(2):98-9. doi: 10.21149/9542.

22. Chen Y, Liang X, Zheng S, Wang Y, Lu W. Association of body fat mass and fat distribution with the incidence of hypertension in a population-based Chinese cohort: A 22-year follow-up. J Am Heart Assoc. 2018;7(6):e007153. doi: 10.1161/JAHA.117.007153. PMID: 29745366; PMCID: PMC5907541.

23. Veile A, Chávez-Cabello R, Otárola-Castillo E, Rojas-Bravo V, Turner G. Urbanization, migration, and indigenous health in Peru. Am J Hum Biol. 2023;35(8):e23904. doi: 10.1002/ajhb.23904. PMID: 37157872.

24. Perú. Instituto Nacional de Estadística e Informática (INEI). Perú: Encuesta Demográfica y de Salud Familiar ENDES 2022 [Internet]. Lima: INEI; 2022 [cited 2025 Jan 29]. Available from: https://bit.ly/4aBVVei.

25. Instituto Nacional de Estadística e Informática (INEI). Ficha Técnica ENDES 2022 [Internet]. Lima: INEI; 2022 [cited 2026 Feb 11]. Available from: https://tinyurl.com/484ukmpn.

26. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement [Internet]. Oxford: Equator-network.org; 2022 [cited 2024 Sep 3]. Available from: https://bit.ly/42MWMXE.

27. Aras M, Tchang BG, Pape J. Obesity and diabetes. Nurs Clin North Am. 2021;56(4):527-41. doi: 10.1016/j.cnur.2021.07.008. PMID: 34749892.

28. Ohishi M. Hypertension with diabetes mellitus: physiology and pathology. Hypertens Res. 2018;41(6):389-93. doi: 10.1038/s41440-018-0034-4. PMID: 29556093.

29. Melgarejo JD, Yang WY, Thijs L, Li Y, Asayama K, Hansen TW, et al. Association of fatal and nonfatal cardiovascular outcomes with 24-hour mean arterial pressure. Hypertension. 2021;77(1):39-48.

doi: 10.1161/HYPERTENSIONAHA.120.14929. PMID: 33296250; PMCID: PMC7720872.

30. Mittal R, Goyal MM, Dasude RC, Quazi SZ, Basak A. Measuring obesity: results are poles apart obtained by BMI and bio-electrical impedance analysis. J. Biomedical Science and Engineering. 2011;04(2011):677-83. doi: 10.4236/jbise.2011.411084.

31. Ho-Pham LT, Campbell LV, Nguyen TV. More on body fat cutoff points. Mayo Clin Proc. 2011;86(6):584; author reply 584-5. doi: 10.4065/mcp.2011.0097. PMID: 21628621; PMCID: PMC3104919.

32. World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human participants. JAMA. 2025;333(1):71-4. doi: 10.1001/jama.2024.21972. PMID: 39425955.

33. Li R, Tian Z, Wang Y, Liu X, Tu R, Wang Y, et al. The association of body fat percentage with hypertension in a Chinese rural population: The Henan rural cohort study. Front Public Health. 2020;8:70.

doi: 10.3389/fpubh.2020.00070. PMID: 32266195; PMCID: PMC7103629.

34. Nguyen TT, Nguyen MH, Nguyen YH, Nguyen TTP, Giap MH, Tran TDX, et al. Body mass index, body fat percentage, and visceral fat as mediators in the association between health literacy and hypertension among residents living in rural and suburban areas. Front Med (Lausanne). 2022;9:877013. doi: 10.3389/fmed.2022.877013. PMID: 36148456; PMCID: PMC9485490.

35. Kim H, Kim S-E, Sung MK. Sex and gender differences in obesity: Biological, sociocultural, and clinical perspectives. World J Mens Health. 2025;43(4):758-72. doi: 10.5534/wjmh.250126. PMID: 40676890; PMCID: PMC12505483.

36. Elffers TW, de Mutsert R, Lamb HJ, de Roos A, Willems van Dijk K, Rosendaal FR, et al. Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women. PLoS One. 2017;12(9):e0185403. doi: 10.1371/journal.pone.0185403. PMID: 28957363; PMCID: PMC5619737.

37. Lambert GW, Patel M, Lambert EA. The influence of the sympathetic nervous system on cardiometabolic health in response to weight gain or weight loss. Metabolites. 2025;15(5):286. doi: 10.3390/metabo15050286. PMID: 40422864; PMCID: PMC12112833.

38. Kalil GZ, Haynes WG. Sympathetic nervous system in obesity-related hypertension: mechanisms and clinical implications. Hypertens Res. 2012;35(1):4-16. doi: 10.1038/hr.2011.173. PMID: 22048570;

PMCID: PMC3902842.

39. Bell BB, Rahmouni K. Leptin as a mediator of obesity-induced hypertension. Curr Obes Rep. 2016;5(4):397-404. doi: 10.1007/s13679-016-0231-x. PMID: 27665107; PMCID: PMC5119542.

Dimensions

PlumX

Visitas a la página del resumen del artículo

506

Descargas

Los datos de descarga aún no están disponibles.

Cómo citar

Guevara-Tirado, A. (2025). Asociación entre porcentaje de grasa corporal y presión arterial media elevada en adultos peruanos: un estudio analítico. Revista De La Facultad De Medicina, 74, e118415. https://doi.org/10.15446/revfacmed.v74.118415