Cardiometabolic syndrome among general adult population in Ghana: The role of lipid accumulation product, waist circumference‐triglyceride index, and triglyceride‐glucose index as surrogate indicators

Visceral obesity and insulin resistance contribute to developing cardiometabolic syndrome (MetS). We investigated the predictive abilities of lipid accumulation product (LAP), waist circumference‐triglyceride index (WTI), and triglyceride‐glucose (TyG) index for MetS screening among the general Ghanaian adults.

[1]  Yue Guo,et al.  High triglyceride-glucose index in young adulthood is associated with incident cardiovascular disease and mortality in later life: insight from the CARDIA study , 2022, Cardiovascular Diabetology.

[2]  Wencheng Zhang,et al.  Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study , 2022, Cardiovascular Diabetology.

[3]  R. Hu,et al.  Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults , 2022, Frontiers in Endocrinology.

[4]  P. Liu,et al.  Screening for Metabolic Syndrome Using an Integrated Continuous Index Consisting of Waist Circumference and Triglyceride: A Preliminary Cross-sectional Study , 2020, Diabetes, metabolic syndrome and obesity : targets and therapy.

[5]  A. Kengne,et al.  Prevalence of metabolic syndrome in sub-Saharan Africa: A systematic review and meta-analysis. , 2019, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[6]  K. Shin,et al.  Usefulness Of Surrogate Markers Of Body Fat Distribution For Predicting Metabolic Syndrome In Middle-Aged And Older Korean Populations , 2019, Diabetes, metabolic syndrome and obesity : targets and therapy.

[7]  E. Colín-Ramírez,et al.  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 , 2018, Nutrients.

[8]  R. Kelishadi,et al.  Validity of triglyceride–glucose index as an indicator for metabolic syndrome in children and adolescents: the CASPIAN-V study , 2018, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.

[9]  H. Carvalho,et al.  The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults. , 2017, Clinical nutrition.

[10]  A. Kengne,et al.  Lipid accumulation product and triglycerides/glucose index are useful predictors of insulin resistance. , 2017, Journal of diabetes and its complications.

[11]  R. Ofori-Asenso,et al.  Metabolic Syndrome in Apparently “Healthy” Ghanaian Adults: A Systematic Review and Meta-Analysis , 2017, International journal of chronic diseases.

[12]  E. Owolabi,et al.  Prevalence and Correlates of Metabolic Syndrome Among Adults Attending Healthcare Facilities in Eastern Cape, South Africa , 2017 .

[13]  Qi Li,et al.  Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese , 2017, Journal of diabetes investigation.

[14]  B. Ludvik,et al.  Adipositas und Typ 2 Diabetes , 2016, Wiener klinische Wochenschrift.

[15]  F. Zamani,et al.  Lipid accumulation product and metabolic syndrome: a population-based study in northern Iran, Amol , 2016, Journal of Endocrinological Investigation.

[16]  A. Fernández-Montero,et al.  The TyG index may predict the development of cardiovascular events , 2016, European journal of clinical investigation.

[17]  A. Barcelo,et al.  Prevalence of metabolic syndrome in Central America: a cross-sectional population-based study. , 2015, Revista panamericana de salud publica = Pan American journal of public health.

[18]  R. Wong,et al.  Prevalence of the metabolic syndrome in the United States, 2003-2012. , 2015, JAMA.

[19]  Xuefeng Yu,et al.  O R I G I N a L I N V E S T I G a T I O N Open Access , 2022 .

[20]  Kyungdo Han,et al.  Gender Difference in the Association of Metabolic Syndrome and Its Components with Age-Related Cataract: The Korea National Health and Nutrition Examination Survey 2008-2010 , 2014, PloS one.

[21]  S. Norris,et al.  The Current Waist Circumference Cut Point Used for the Diagnosis of Metabolic Syndrome in Sub-Saharan African Women Is Not Appropriate , 2012, PloS one.

[22]  Saroj Jain,et al.  Prevalence of metabolic syndrome and gender differences , 2012, Bioinformation.

[23]  E. Oda Metabolic syndrome: its history, mechanisms, and limitations , 2012, Acta Diabetologica.

[24]  Goutham Rao,et al.  Assessing adiposity: a scientific statement from the American Heart Association. , 2011, Circulation.

[25]  Gregory Kaltsas,et al.  Metabolic syndrome: definitions and controversies , 2011, BMC medicine.

[26]  R. Ephraim,et al.  The prevalence of metabolic syndrome among active sportsmen/sportswomen and sedentary workers in the Kumasi metropolis , 2011 .

[27]  L. Colantonio,et al.  ' s response to reviews Title : Estimation of the burden of cardiovascular disease attributable to modifiable risk factors and cost-effectiveness analysis of preventative interventions to reduce this burden in Argentina , 2010 .

[28]  M. Martínez-Larrad,et al.  Ability of Lipid Accumulation Product to Identify Metabolic Syndrome in Healthy Men From Buenos Aires , 2009, Diabetes Care.

[29]  M. Rodríguez-Moran,et al.  The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. , 2008, Metabolic syndrome and related disorders.

[30]  Chaoyang Li,et al.  Metabolic Syndrome and Incident Diabetes , 2008, Diabetes Care.

[31]  Philippe Pibarot,et al.  Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk. , 2008, Arteriosclerosis, thrombosis, and vascular biology.

[32]  G. Kolovou,et al.  The Prevalence of Metabolic Syndrome in Various Populations , 2007, The American journal of the medical sciences.

[33]  D. Allison,et al.  Waist Circumference and Cardiometabolic Risk , 2007, Diabetes Care.

[34]  D. Allison,et al.  Waist Circumference and Cardiometabolic Risk , 2007, Diabetes Care.

[35]  B. Lamarche,et al.  The evolving definitions and increasing prevalence of the metabolic syndrome. , 2007, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[36]  Paul Zimmet,et al.  The metabolic syndrome—a new worldwide definition , 2005, The Lancet.

[37]  H. Kahn The "lipid accumulation product" performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison , 2005, BMC Cardiovascular Disorders.

[38]  W. Dietz,et al.  Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. , 2002, JAMA.

[39]  A. C. Burton,et al.  Recommendations for Human Blood Pressure Determination By Sphygmomanometers , 1981, Circulation.

[40]  R. Levy,et al.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. , 1972, Clinical chemistry.

[41]  D. Allison,et al.  Waist circumference and cardiometabolic risk : a consensus statement from Shaping America ’ s Health : Association for Weight Management and Obesity Prevention , 2007 .

[42]  J. Mckenney,et al.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). , 2001, JAMA.

[43]  Stanley Lemeshow,et al.  Applied Logistic Regression, Second Edition , 1989 .

[44]  C. Gysel [Adolphe Quetelet (1796-1874). The statistics and biometry of growth]. , 1974, l Orthodontie Française.