Evaluation of anthropometric indexes for cardiometabolic risk in adults of a community in the Cañada region of Oaxaca, México.

Authors

DOI:

https://doi.org/10.29105/respyn20.3-2

Keywords:

Cardiometabolic risk, waist circumference, waist to height index

Abstract

Introduction: Cardiometabolic disease is an important public health problem worldwide, the early evaluation of risk factors will allow a prompt medical and nutritional intervention. Objective: To determine the prevalence of cardiometabolic risk (CMR) using anthropometry, and the associations between its indexes, in adults from Teotitlán de Flores Magón, Oaxaca; Mexico. Material and method: A descriptive, cross-sectional study was performed in 208 individuals older than 20 years old. CMR was evaluated based on body mass index, waist circumference, waist to height ratio and conicity index. All variables were analyzed using descriptive statistics; Pearson's Chi square and Spearman's correlation were used to analyze associations and correlations, respectively, P < 0.05 was considered significant. Results: The prevalence of obesity was significantly higher in women (42.34%) than in men (35.21%). Prevalence for CMR ranging from 17.31% to 87.5% was observed according to the parameter analyzed, a significant positive correlation was found among all parameters. A higher CMR among women for all markers analyzed was found. Conclusions: Our findings suggest that anthropometric measurements constitute an affordable alternative to evaluate the CMR on communities lacking health infrastructure, however, this approach could be completed using some other indicators.

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Author Biography

Jacob Jonatan Cruz Sánchez, Universidad de la Cañada

Profesor-Investigador de Tiempo Completo

Instituto de Farmacobiología

Universidad de la Cañada

References

Aguilar-Morales, I., Colin-Ramirez, E., Rivera-Mancía, S., Vallejo, M., & Vázquez-Antona, C. (2018). Performance of waist-to-height ratio, waist circumference, and body mass index in discriminating cardio-metabolic risk factors in a sample of school-aged Mexican children. Nutrients, 10(12), 1850. https://doi.org/10.3390/nu10121850 DOI: https://doi.org/10.3390/nu10121850

Arroyo, P., Fernández, V., Loría, A., Pardío, J., Laviada, H., Vargas-Ancona, L., & Ward, R. (2007). Obesidad, morfología corporal y presión arterial en grupos urbanos y rurales de Yucatán. Salud Publica de Mexico, 49(4), 274–285. https://doi.org/10.1590/S0036-36342007000400007 DOI: https://doi.org/10.1590/S0036-36342007000400007

Ashtary-Larky, D., Daneghian, S., Alipour, M., Rafiei, H., Ghanavati, M., Mohammadpour, R., Kooti, W., Ashtary-Larky, P., & Afrisham, R. (2018). Waist circumference to height ratio: Better correlation with fat mass than other anthropometric indices during dietary weight loss in different rates. International Journal of Endocrinology and Metabolism, 16(4), 1. https://doi.org/10.5812/ijem.55023 DOI: https://doi.org/10.5812/ijem.55023

Browning, L. M., Hsieh, S. D., & Ashwell, M. (2010). A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 05 could be a suitable global boundary value. Nutrition Research Reviews, 23(2), 247–269. https://doi.org/10.1017/S0954422410000144 DOI: https://doi.org/10.1017/S0954422410000144

Charakida, M., Khan, T., Johnson, W., Finer, N., Woodside, J., Whincup, P. H., Sattar, N., Kuh, D., Hardy, R., & Deanfield, J. (2014). Lifelong patterns of BMI and cardiovascular phenotype in individuals aged 60-64 years in the 1946 British birth cohort study: An epidemiological study. The Lancet Diabetes and Endocrinology, 2(8), 648–652. https://doi.org/10.1016/S2213-8587(14)70103-2 DOI: https://doi.org/10.1016/S2213-8587(14)70103-2

Chatterjee, A., Harris, S. B., Leiter, L. A., Fitchett, D. H., Teoh, H., Bhattacharyya, O. K., & Cardiometabolic Risk Working Group (Canadian). (2012). Managing cardiometabolic risk in primary care: summary of the 2011 consensus statement. Canadian Family Physician Medecin de Famille Canadien, 58(2), 389–393.

Després, J. P. (2012). Body fat distribution and risk of cardiovascular disease: An update. Circulation, 126(10), 1301–1313. https://doi.org/10.1161/CIRCULATIONAHA.111.067264 DOI: https://doi.org/10.1161/CIRCULATIONAHA.111.067264

Dhana, K., Ikram, M. A., Hofman, A., Franco, O. H., & Kavousi, M. (2015). Anthropometric measures in cardiovascular disease prediction: Comparison of laboratory-based versus non-laboratory-based model. Heart, 101(5), 377–383. https://doi.org/10.1136/heartjnl-2014-306704 DOI: https://doi.org/10.1136/heartjnl-2014-306704

Fitzgerald, S. J., Janorkar, A. V., Barnes, A., & Maranon, R. O. (2018). A new approach to study the sex differences in adipose tissue. Journal of Biomedical Science, 89. https://doi.org/10.1186/s12929-018-0488-3 DOI: https://doi.org/10.1186/s12929-018-0488-3

Ford, E. S., Mokdad, A. H., & Giles, W. H. (2003). Trends in waist circumference among U.S. adults. Obesity Research, 11(10), 1223–1231. https://doi.org/10.1038/oby.2003.168 DOI: https://doi.org/10.1038/oby.2003.168

Fosbøl, M. O., & Zerahn, B. (2015). Contemporary methods of body composition measurement. Clinical Physiology and Functional Imaging, 35(2), 81–97. https://doi.org/10.1111/cpf.12152 DOI: https://doi.org/10.1111/cpf.12152

Fuchs, F. D., & Whelton, P. K. (2020). High Blood Pressure and Cardiovascular Disease. In Hypertension (Vol. 75, Issue 2, pp. 285–292). Lippincott Williams and Wilkins. https://doi.org/10.1161/HYPERTENSIONAHA.119.14240 DOI: https://doi.org/10.1161/HYPERTENSIONAHA.119.14240

Gallagher, D., Visser, M., Sepúlveda, D., Pierson, R. N., Harris, T., & Heymsfieid, S. B. (1996). How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a008733 DOI: https://doi.org/10.1093/oxfordjournals.aje.a008733

Gierach, M., Gierach, J., Ewertowska, M., Arndt, A., & Junik, R. (2014). Correlation between Body Mass Index and Waist Circumference in Patients with Metabolic Syndrome. ISRN Endocrinology, 2014(1), 1–6. https://doi.org/10.1155/2014/514589 DOI: https://doi.org/10.1155/2014/514589

González-Muniesa, P., Mártinez-González, M. A., Hu, F. B., Després, J. P., Matsuzawa, Y., Loos, R. J. F., Moreno, L. A., Bray, G. A., & Martinez, J. A. (2017). Obesity. Nature Reviews Disease Primers, 1(17034). https://doi.org/10.1038/nrdp.2017.34 DOI: https://doi.org/10.1038/nrdp.2017.34

Graves, L., Garnett, S. P., Cowell, C. T., Baur, L. A., Ness, A., Sattar, N., & Lawlor, D. A. (2014). Waist-to-height ratio and cardiometabolic risk factors in adolescence: Findings from a prospective birth cohort. Pediatric Obesity, 9(5), 327–338. https://doi.org/10.1111/j.2047-6310.2013.00192.x DOI: https://doi.org/10.1111/j.2047-6310.2013.00192.x

INEGI. (2015). Oaxaca. División municipal. INEGI. http://www.cuentame.inegi.org.mx/monografias/informacion/oax/territorio/div_municipal.aspx?tema=me&e=20

Javed, A., Jumean, M., Murad, M. H., Okorodudu, D., Kumar, S., Somers, V. K., Sochor, O., & Lopez-Jimenez, F. (2015). Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: A systematic review and meta-analysis. Pediatric Obesity, 10(3), 234–244. https://doi.org/10.1111/ijpo.242 DOI: https://doi.org/10.1111/ijpo.242

Karastergiou, K., Smith, S. R., Greenberg, A. S., & Fried, S. K. (2012). Sex differences in human adipose tissues - The biology of pear shape. Biology of Sex Differences, 3(1), 13. https://doi.org/10.1186/2042-6410-3-13 DOI: https://doi.org/10.1186/2042-6410-3-13

Mantzoros, C. S., Evagelopoulou, K., Georgiadis, E. I., & Katsilambros, N. (1996). Conicity index as a predictor of blood pressure levels, insulin and triglyceride concentrations of healthy premenopausal women. Hormone and Metabolic Research, 28(1), 32–34. https://doi.org/10.1055/s-2007-979126 DOI: https://doi.org/10.1055/s-2007-979126

Marcos-Delgado, A., Fernández-Villa, T., Martínez-González, M. Á., Salas-Salvadó, J., Corella, D., Castañer, O., Martínez, J. A., Alonso-Gómez, Á. M., Wärnberg, J., Vioque, J., Romaguera, D., López-Miranda, J., Estruch, R., Tinahones, F. J., Lapetra, J., Serra-Majem, J. L., García-Molina, L., Tur, J. A., de Paz, J. A., … Martín, V. (2020). The effect of physical activity and high body mass index on health-related quality of life in individuals with metabolic syndrome. International Journal of Environmental Research and Public Health, 17(10), 3728. https://doi.org/10.3390/ijerph17103728 DOI: https://doi.org/10.3390/ijerph17103728

Megchún-Hernández, M., Espinosa-Raya, J., García-Parra, E., Albavera-Hernández, C., & Briones-Aranda, A. (2019). Association of anthropometric indicators to evaluate nutritional status and cardiometabolic risk in mexican teenagers. Nutricion Hospitalaria, 36(5), 1049–1054. https://doi.org/10.20960/nh.02487 DOI: https://doi.org/10.20960/nh.02487

Melin, E. O., Thulesius, H. O., Hillman, M., Svensson, R., Landin-Olsson, M., & Thunander, M. (2019). Lower HDL-cholesterol, a known marker of cardiovascular risk, was associated with depression in type 1 diabetes: A cross sectional study. Lipids in Health and Disease, 18(65). https://doi.org/10.1186/s12944-019-1009-4 DOI: https://doi.org/10.1186/s12944-019-1009-4

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia, 22(1), 67–72. https://doi.org/10.4103/aca.ACA_157_18 DOI: https://doi.org/10.4103/aca.ACA_157_18

Ormazabal, V., Nair, S., Elfeky, O., Aguayo, C., Salomon, C., & Zuñiga, F. A. (2018). Association between insulin resistance and the development of cardiovascular disease. Cardiovascular Diabetology, 17(122). https://doi.org/10.1186/s12933-018-0762-4 DOI: https://doi.org/10.1186/s12933-018-0762-4

Pitanga, F. J. G., & Lessa, I. (2005). [Anthropometric indexes of obesity as an instrument of screening for high coronary risk in adults in the city of Salvador--Bahia]. Arquivos Brasileiros de Cardiologia, 85(1), 26–31. https://doi.org//S0066-782X2005001300006 DOI: https://doi.org/10.1590/S0066-782X2005001400006

Ramírez-Vélez, R., Pérez-Sousa, M. Á., Izquierdo, M., Cano-Gutierrez, C. A., González-Jiménez, E., Schmidt-Riovalle, J., González-Ruíz, K., & Correa-Rodríguez, M. (2019). Validation of surrogate anthropometric indices in older adults: What is the best indicator of high cardiometabolic risk factor clustering? Nutrients, 11(8), 1701. https://doi.org/10.3390/nu11081701 DOI: https://doi.org/10.3390/nu11081701

Rangel-Baltazar, E., Cuevas-Nasu, L., Shamah-Levy, T., Rodríguez-Ramírez, S., Méndez-Gómez-Humarn, I., & Rivera, J. A. (2019). Association between high waist-to-height ratio and cardiovascular risk among adults sampled by the 2016 half-way national health and nutrition survey in Mexico (ENSANUT MC 2016). Nutrients, 11(6), 1402. https://doi.org/10.3390/nu11061402 DOI: https://doi.org/10.3390/nu11061402

Rivera-Dommarco, J. Á., Arantxa-Colchero, A. M., Luis-Fuentes, M., González de Cosío Martínez, T., Aguilar-Salinas, C. A., Hernández-Licona, G., & Barquera, S. (2019). La obesidad en México. Estado de la política pública y recomendaciones para su prevención y control. Instituto Nacional de Salud Pública.

Ross, R., Neeland, I. J., Yamashita, S., Shai, I., Seidell, J., Magni, P., Santos, R. D., Arsenault, B., Cuevas, A., Hu, F. B., Griffin, B. A., Zambon, A., Barter, P., Fruchart, J. C., Eckel, R. H., Matsuzawa, Y., & Després, J. P. (2020). Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology, 16(3), 177–189. https://doi.org/10.1038/s41574-019-0310-7 DOI: https://doi.org/10.1038/s41574-019-0310-7

San-Cristobal, R., Navas-Carretero, S., Martínez-González, M. Á., Ordovas, J. M., & Martínez, J. A. (2020). Contribution of macronutrients to obesity: implications for precision nutrition. Nature Reviews Endocrinology, 16(6), 305–320. https://doi.org/10.1038/s41574-020-0346-8 DOI: https://doi.org/10.1038/s41574-020-0346-8

Sánchez, E., Sánchez, M., Betriu, À., Rius, F., Torres, G., Purroy, F., Pamplona, R., Ortega, M., López-Cano, C., Hernández, M., Bueno, M., Fernández, E., Salvador, J., & Lecube, A. (2020). Are Obesity Indices Useful for Detecting Subclinical Atheromatosis in a Middle-Aged Population? Obesity Facts, 13(1), 1. https://doi.org/10.1159/000502696 DOI: https://doi.org/10.1159/000502696

Shamah-Levy, T., Campos-Nonato, I., Cuevas-Nasu, L., Hernández-Barrera, L., Morales-Ruán, M. del C., Rivera-Dommarco, J., & Barquera, S. (2019). Sobrepeso y obesidad en población mexicana en condición de vulnerabilidad. Resultados de la Ensanut 100k. Salud Pública de México, 61(6), 852–865. https://doi.org/10.21149/10585 DOI: https://doi.org/10.21149/10585

Shidfar, F., Alborzi, F., Salehi, M., & Nojomi, M. (2012). Association of waist circumference, body mass index and conicity index with cardiovascular risk factors in postmenopausal women. Cardiovascular Journal of Africa, 23(8), 442–445. https://doi.org/10.5830/CVJA-2012-038 DOI: https://doi.org/10.5830/CVJA-2012-038

Smith, S. C., & Haslam, D. (2007). Abdominal obesity, waist circumference and cardiometabolic risk: Awareness among primary care physicians, the general population and patients at risk - The Shape of the Nations survey. Current Medical Research and Opinion, 23(1), 29–47. https://doi.org/10.1185/030079906X159489 DOI: https://doi.org/10.1185/030079906X159489

Sniderman, A. D., Couture, P., Martin, S. S., DeGraaf, J., Lawler, P. R., Cromwell, W. C., Wilkins, J. T., & Thanassoulis, G. (2018). Hypertriglyceridemia and cardiovascular risk: a cautionary note about metabolic confounding. Journal of Lipid Research, 59(7), 1266–1275. https://doi.org/10.1194/jlr.R082271 DOI: https://doi.org/10.1194/jlr.R082271

Stevens, J., Katz, E. G., & Huxley, R. R. (2010). Associations between gender, age and waist circumference. European Journal of Clinical Nutrition, 64(1), 6–15. https://doi.org/10.1038/ejcn.2009.101 DOI: https://doi.org/10.1038/ejcn.2009.101

Valdez, R. (1991). A simple model-based index of abdominal adiposity. Journal of Clinical Epidemiology, 44(9), 955–956. https://doi.org/10.1016/0895-4356(91)90059-I DOI: https://doi.org/10.1016/0895-4356(91)90059-I

Wall-Medrano, A., Ramos-Jiménez, A., Hernandez-Torres, R. P., Villalobos-Molina, R., Tapia-Pancardo, D. C., Jiménez-Flores, J. R., Méndez-Cruz, A. R., Murguía-Romero, M., Gallardo-Ortíz, I. A., & Urquídez-Romero, R. (2016). Cardiometabolic risk in young adults from northern Mexico: Revisiting body mass index and waist-circumference as predictors. BMC Public Health, 16(236), 1–9. https://doi.org/10.1186/s12889-016-2896-1 DOI: https://doi.org/10.1186/s12889-016-2896-1

Welch, G. W., & Sowers, M. R. (2000). The interrelationship between body topology and body composition varies with age among women. Journal of Nutrition, 130(9), 2371–2377. https://doi.org/10.1093/jn/130.9.2371 DOI: https://doi.org/10.1093/jn/130.9.2371

Wilson, K. (2020). Obesity: Understanding Obesity. FP Essentials, 1(492), 11–18.

World Health Organization. (2008). Waist Circumference and Waist-Hip Ratio. Report of a WHO Expert Consultation. https://doi.org/10.1038/ejcn.2009.139 DOI: https://doi.org/10.1038/ejcn.2009.139

Ying, X., Song, Z. Y., Zhao, C. J., & Jiang, Y. (2010). Body mass index, waist circumference, and cardiometabolic risk factors in young and middle-aged Chinese women. Journal of Zhejiang University: Science B, 11(9), 639–646. https://doi.org/10.1631/jzus.B1000105 DOI: https://doi.org/10.1631/jzus.B1000105

Yoo, E. G. (2016). Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk. Korean Journal of Pediatrics, 59(11), 425–431. https://doi.org/10.3345/kjp.2016.59.11.425 DOI: https://doi.org/10.3345/kjp.2016.59.11.425

Zhang, X., Shu, X. O., Gao, Y. T., Yang, G., Matthews, C. E., Li, Q., Li, H., Jin, F., & Zheng, W. (2004). Anthropometric predictors of coronary heart disease in Chinese women. International Journal of Obesity, 28(6), 734–740. https://doi.org/10.1038/sj.ijo.0802634 DOI: https://doi.org/10.1038/sj.ijo.0802634

Published

2021-07-01

How to Cite

Cruz Sánchez, J. J., Jiménez Pineda, R., Gutiérrez Moguel, N. V., Acosta Chí, Z. A., Regalado Santiago, C., & González Cano, P. (2021). Evaluation of anthropometric indexes for cardiometabolic risk in adults of a community in the Cañada region of Oaxaca, México. RESPYN Revista Salud Pública Y Nutrición, 20(3), 8–17. https://doi.org/10.29105/respyn20.3-2

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