Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela

datacite.rightshttp://purl.org/coar/access_right/c_abf2eng
dc.contributor.authorBermúdez, Valmore
dc.contributor.authorSalazar, Juan
dc.contributor.authorFuenmayor, Jorge
dc.contributor.authorNava, Manuel
dc.contributor.authorOrtega, Ángel
dc.contributor.authorDuran, Pablo
dc.contributor.authorRojas, Milagros
dc.contributor.authorAñez, Roberto
dc.contributor.authorRivas-Montenegro, Alejandra
dc.contributor.authorAngarita, Lissé
dc.contributor.authorChacín, Maricarmen
dc.contributor.authorCano, Clímaco
dc.date.accessioned2021-09-15T14:59:29Z
dc.date.available2021-09-15T14:59:29Z
dc.date.issued2021
dc.description.abstractBackground. Visceral adiposity is related to insulin resistance (IR), a metabolic state considered as a risk factor for other cardiometabolic diseases. In that matter, mathematical indexes such as the visceral adiposity index (VAI) and the lipid accumulation product (LAP) could indirectly assess IR based on visceral adiposity. Objective. To evaluate the association and diagnostic accuracy of VAI and LAP to diagnose IR in the adult population of Maracaibo city. Methods. This is a cross-sectional descriptive study with multistage sampling. Receiver operating characteristic (ROC) curves were built to determine VAI and LAP cutoff points to predict IR. A set of logistic regression models was constructed according to sociodemographic, psychobiologic, and metabolic variables. Results. 1818 subjects were evaluated (51.4% women). The area under the curve (AUC) values for LAP and VAI were 0.689 (0.665–0.714) and 0.645 (0.619–0.670), respectively. Both indexes showed a higher IR risk in the upper tertile in bivariate analysis. However, in the logistic regression analysis for the IR risk, only the 2nd (OR: 1.91; 95% CI: 1.37–2.65; ) and 3rd (OR: 5.40; 95% CI: 3.48–8.39; ) LAP tertiles showed a significant increase. This behaviour was also observed after adjusting for hs-C-reactive protein (hs-CPR). Conclusion. Although both indexes show a low predictive capacity in individuals with IR in the Maracaibo city population, the LAP index was more strongly associated with IR.eng
dc.format.mimetypepdfspa
dc.identifier.doihttps://doi.org/10.1155/2021/5514901
dc.identifier.issn20900716
dc.identifier.urihttps://hdl.handle.net/20.500.12442/8389
dc.language.isoengeng
dc.publisherHindawieng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceJournal of Obesityeng
dc.sourceVol. 2021
dc.subjectInsulin resistanceeng
dc.subjectHyperinsulinemiaeng
dc.subjectMetabolic syndromeeng
dc.subjectHomeostatic model assessmenteng
dc.subjectDiabeteseng
dc.titleLipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuelaeng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.spaArtículo científicospa
dcterms.referencesJ. Rojas, V. Berm´udez, E. Leal et al., “Insulinorresistencia e hiperinsulinemia como factores de riesgo para enfermedad cardiovascular,” International Journal of Diabetes in Developing Countries, vol. 2, no. 3, pp. 53–64, 2012eng
dcterms.referencesR. Liu, K. K. Christoffel, W. J. Brickman et al., “Do static and dynamic insulin resistance indices perform similarly in predicting pre-diabetes and type 2 diabetes?” Diabetes Research and Clinical Practice, vol. 105, no. 2, pp. 245–250, 2014eng
dcterms.referencesR. A. DeFronzo, J. D. Tobin, and R. Andres, “Glucose clamp technique: a method for quantifying insulin secretion and resistance,” American Journal of Physiology-Endocrinology and Metabolism, vol. 237, no. 3, pp. E214–E223, 1979eng
dcterms.referencesJ. Otten, B. Ahren, and T. Olsson, “Surrogate measures of ´ insulin sensitivity vs the hyperinsulinaemic-euglycaemic clamp: a meta-analysis,” Diabetologia, vol. 57, no. 9, pp. 1781–1788, 2014eng
dcterms.referencesB. Ji, H. Qu, H. Wang, H. Wei, and H. Deng, “Association between the visceral adiposity index and homeostatic model assessment of insulin resistance in participants with normal waist circumference,” Angiology, vol. 68, no. 8, pp. 716–721, 2017eng
dcterms.referencesV. J. Berm´udez, J. Salazar, R. Añez et al., “Optimal cutoff for visceral adiposity index in a Venezuelan population: results from the Maracaibo city metabolic syndrome prevalence study,” Revista Argentina de Endocrinolog´ıa y Metabolismo, vol. 54, no. 4, pp. 176–183, 2017eng
dcterms.referencesP. Mathieu, P. Poirier, P. Pibarot, I. Lemieux, and J.-P. Despres, “Visceral obesity: the link among inflammation, ´ hypertension, and cardiovascular disease,” Hypertension (Dallas, Tex: 1979), vol. 53, no. 4, pp. 577–584, 2009eng
dcterms.referencesD. Dai, Y. Chang, Y. Chen et al., “Visceral adiposity index and lipid accumulation product index: two alternate body indices to identify chronic kidney disease among the rural population in northeast China,” International Journal of Environmental Research and Public Health, vol. 13, no. 12, p. 1231, 2016eng
dcterms.referencesJ. Wu, L. Gong, Q. Li et al., “A novel visceral adiposity index for prediction of type 2 diabetes and pre-diabetes in Chinese adults: a 5 year prospective study,” Scientific Reports, vol. 7, no. 1, p. 13784, 2017.eng
dcterms.referencesZ. Biyik and I. Guney, “Lipid accumulation product and visceral adiposity ındex: two new indices to predict metabolic syndrome in chronic kidney disease,” European Review for Medical and Pharmacological Sciences, vol. 23, no. 5, pp. 2167–2173, 2019eng
dcterms.referencesX. Huang, Q. Wang, T. Liu et al., “Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China,” Endocrine, vol. 65, no. 1, pp. 81–85, 2019eng
dcterms.referencesV. Berm´udez, R. P. Marcano, C. Cano et al., “,e Maracaibo city metabolic syndrome prevalence study: design and scope,” American Journal of Gerapeutics, vol. 17, no. 3, pp. 288–294, 2010.eng
dcterms.referencesJ. Rojas, V. Bermudez, R. Añez et al., “Comportamiento Epidemiologico del s ´ ´ındrome metabolico en el municipio ´ Maracaibo-Venezuela,” Sindrome Cardiometabolico. ´ , vol. 3, no. 2, pp. 31–42, 2013spa
dcterms.referencesH. Mendez Castellano and M. de M ´ endez, “Estratificaci ´ on´ social y biolog´ıa humana: metodo Graffar modificado,” ´ Arch Venez Pueric Pediatrics, vol. 49, no. 3, pp. 93–104, 1986.eng
dcterms.referencesV. Berm´udez, “Smoking habit in adult population from Maracaibo city, Venezuela,” International Journal of Respiratory and Pulmonary Medicine, vol. 3, no. 4, p. 61, 2016.eng
dcterms.referencesGuidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ), 2005, http://www. IPAQ.ki.sehttps://www.researchgate.net/publication/267932370_ Guidelines_for_data_processing_and_analysis_of_the_ International_Physical_Activity_Questionnaire_IPAQ2005_ URL_httpwwwIPAQkiseeng
dcterms.referencesV. Berm´udez, Y. Torres, V. Apruzzese et al., “Alcohol drinking patterns in the adult population from the Maracaibo municipality, Zulia—Venezuela,” Revista Latinoamericana de Hipertension, vol. 9, no. 1, pp. 21–28, 2014.eng
dcterms.referencesHealth Statistics, NHANES III Reference Manuals and Reports (CDROM), Centers for Disease Control and Prevention, Atlanta, GA, USA, 1996, https://wwwn.cdc.gov/nchs/data/ nhanes3/manuals/.eng
dcterms.referencesK. G. M. M. Alberti, R. H. Eckel, S. M. Grundy et al., “Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity,” Circulation, vol. 120, no. 16, pp. 1640–1645, 2009.eng
dcterms.referencesJ. C. Levy, D. R. Matthews, and M. P. Hermans, “Correct homeostasis model assessment (HOMA) evaluation uses the computer program,” Diabetes Care, vol. 21, no. 12, pp. 2191-2192, 1998eng
dcterms.referencesV. Berm´udez, J. Rojas, M. S. Mart´ınez et al., “Epidemiologic behavior and estimation of an optimal cut-off point for homeostasis model assessment-2 insulin resistance: a report from a Venezuelan population,” International Scholarly Research Notices, vol. 2014, Article ID 616271, 10 pages, 2014.eng
dcterms.referencesV. Berm´udez, M. Cabrera, L. Mendoza et al., “High-sensitivity c-reactive protein epidemiological behavior in adult individuals from Maracaibo, Venezuela,” Revista Latinoamericana de Hipertension, vol. 8, no. 1, pp. 22–29, 2015.eng
dcterms.referencesM. C. Amato, C. Giordano, M. Galia et al., “Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk,” Diabetes Care, vol. 33, no. 4, pp. 920–922, 2010eng
dcterms.referencesH. S. Kahn, “,e “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison,” BMC Cardiovascular Disorders, vol. 5, no. 1, p. 26, 2005eng
dcterms.referencesX. Robin, N. Turck, A. Hainard et al., “pROC: an open-source package for R and S+ to analyze and compare ROC curves,” BMC Bioinformatics, vol. 12, no. 1, p. 77, 2011.eng
dcterms.referencesH. S. Kahn, “,e lipid accumulation product is better than BMI for identifying diabetes: a population-based comparison,” Diabetes Care, vol. 29, no. 1, pp. 151–153, 2006eng
dcterms.referencesS. Pekgor, C. Duran, U. Berberoglu, and M. A. Eryilmaz, “,e role of visceral adiposity index levels in predicting the presence of metabolic syndrome and insulin resistance in overweight and obese patients,” Metabolic Syndrome and Related Disorders, vol. 17, no. 5, pp. 296–302, 2019eng
dcterms.referencesC. M. de Oliveira, J. Pavani, J. E. Krieger, R. de Oliveira Alvim, C. A. Mourão-Junior, and A. da Costa Pereira, “Body adiposity index in assessing the risk of type 2 diabetes mellitus development: the baependi heart study,” Diabetology & Metabolic Syndrome, vol. 11, no. 1, p. 76, 2019.eng
dcterms.referencesG. A. Abruzzese, G. E. Cerrrone, J. M. Gamez et al., “Lipid accumulation product (LAP) and visceral adiposity index (VAI) as markers of insulin resistance and metabolic associated disturbances in young argentine women with polycystic ovary syndrome,” Hormone and Metabolic Research � Hormon- and Stoffwechselforschung � Hormones et Metabolisme, vol. 49, no. 1, pp. 23–29, 2017eng
dcterms.referencesK. Baveicy, S. Mostafaei, M. Darbandi, B. Hamzeh, F. Najafi, and Y. Pasdar, “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, Metabolic Syndrome and Obesity: Targets and Gerapy, vol. 13, pp. 879–887, 2020.eng
dcterms.referencesM. E. Zaki, S. Kamal, H. Reyad et al., “,e validity of body adiposity indices in predicting metabolic syndrome and its components among Egyptian women,” Open Access Macedonian Journal of Medical Sciences, vol. 4, no. 1, pp. 25–30, 2016eng
dcterms.referencesN. Ahn, S. E. Baumeister, U. Amann et al., “Visceral adiposity index (VAI), lipid accumulation product (LAP), and product of triglycerides and glucose (TyG) to discriminate prediabetes and diabetes,” Scientific Reports, vol. 9, no. 1, p. 9693, 2019eng
dcterms.referencesT. V. Fiorentino, M. A. Marini, E. Succurro, F. Andreozzi, and G. Sesti, “Relationships of surrogate indexes of insulin resistance with insulin sensitivity assessed by euglycemic hyperinsulinemic clamp and subclinical vascular damage,” BMJ Open Diabetes Research & Care, vol. 7, no. 1, Article ID e000911, 2019eng
dcterms.referencesM. Mazidi, A.-P. Kengne, N. Katsiki, D. P. Mikhailidis, and M. Banach, “Lipid accumulation product and triglycerides/ glucose index are useful predictors of insulin resistance,” Journal of Diabetes and its Complications, vol. 32, no. 3, pp. 266–270, 2018eng
dcterms.referencesB. Kim, H. Y. Choi, W. Kim et al., “,e cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean genome and epidemiology study (KOGES),” PLoS One, T. Muka, Ed., vol. 13, no. 11, Article ID e0206994, 2018.eng
dcterms.referencesL.-K. Er, S. Wu, H.-H. Chou et al., “Triglyceride glucose-body mass index is a simple and clinically useful surrogate marker for insulin resistance in nondiabetic individuals,” PLoS One, vol. 11, no. 3, Article ID e0149731, 2016.eng
dcterms.referencesG. Anik Ilhan, B. Yildizhan, and T. Pekin, “,e impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal and metabolic parameters in lean women with polycystic ovary syndrome,” Gynecological Endocrinology, vol. 35, no. 3, pp. 233–236, 2019.eng
dcterms.referencesJ.-Y. Oh, Y.-A. Sung, and H. J. Lee, “,e lipid accumulation product as a useful index for identifying abnormal glucose regulation in young Korean women,” Diabetic Medicine, vol. 30, no. 4, pp. 436–442, 2013.eng
dcterms.referencesC. Xia, R. Li, S. Zhang et al., “Lipid accumulation product is a powerful index for recognizing insulin resistance in nondiabetic individuals,” European Journal of Clinical Nutrition, vol. 66, no. 9, pp. 1035–1038, 2012.eng
dcterms.referencesM. Velasco, “Lipid accumulation product (LAP) and visceral adiposity index (VAI) a simple and clinically useful surrogate marker for metabolic syndrome and cardiovascular disease predictor in non-diabetic Venezuelan adults,” Journal of Pharma & Pharmaceutical Sciences, vol. 2, no. 1, pp. 1–8, 2017.eng
dcterms.referencesT. Du, G. Yuan, M. Zhang, X. Zhou, X. Sun, and X. Yu, “Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance,” Cardiovascular Diabetology, vol. 13, no. 1, p. 146, 2014.eng
dcterms.referencesJ. D. Sparks, C. E. Sparks, and K. Adeli, “Selective hepatic insulin resistance, VLDL overproduction, and hypertriglyceridemia,” Arteriosclerosis, Grombosis, and Vascular Biology, vol. 32, no. 9, pp. 2104–2112, 2012.eng
dcterms.referencesD. Santoleri and P. M. Titchenell, “Resolving the paradox of hepatic insulin resistance,” Cellular and Molecular Gastroenterology and Hepatology, vol. 7, no. 2, pp. 447–456, 2019.eng
dcterms.referencesM. Aslam, S. Aggarwal, K. K. Sharma, V. Galav, and S. V. Madhu, “Postprandial hypertriglyceridemia predicts development of insulin resistance glucose intolerance and type 2 diabetes,” PLoS One, vol. 11, no. 1, Article ID e0145730, 2016eng
dcterms.referencesX. Bi, Y. T. Loo, and C. J. Henry, “Ultrasound measurement of intraabdominal fat thickness as a predictor of insulin resistance and low HDL cholesterol in Asians,” Nutrition, vol. 55- 56, pp. 99–103, 2018eng
dcterms.referencesS. Klein, D. B. Allison, S. B. Heymsfield et al., “Waist circumference and cardiometabolic risk: a consensus statement from shaping America’s health: association for weight management and obesity prevention; NAASO, the obesity society; the American society for nutrition; and the American diabetes association,” Diabetes Care, vol. 30, no. 6, pp. 1647–1652, 2007eng
dcterms.referencesC. Zou and J. Shao, “Role of adipocytokines in obesity-associated insulin resistance,” Ge Journal of Nutritional Biochemistry, vol. 19, no. 5, pp. 277–286, 2008.eng
dcterms.referencesX.-F. Zhuang, M.-M. Zhao, C.-L. Weng, and N.-L. Sun, “Adipocytokines: a bridge connecting obesity and insulin resistance,” Medical Hypotheses, vol. 73, no. 6, pp. 981–985, 2009.eng
dcterms.referencesK. Verboven, K. Wouters, K. Gaens et al., “Abdominal subcutaneous and visceral adipocyte size, lipolysis and inflammation relate to insulin resistance in male obese humans,” Scientific Reports, vol. 8, no. 1, p. 4677, 2018.eng
dcterms.referencesM. D. Jensen, “Adipose tissue as an endocrine organ: implications of its distribution on free fatty acid metabolism,” European Heart Journal Supplements, vol. 8, no. suppl_B, 2006eng
oaire.versioninfo:eu-repo/semantics/publishedVersioneng

Archivos

Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Lipid-Accumulation-Product_related-to_Insuline-Resistance.pdf
Tamaño:
1.38 MB
Formato:
Adobe Portable Document Format
Descripción:
PDF
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
381 B
Formato:
Item-specific license agreed upon to submission
Descripción:

Colecciones