Fasting glucose and insulin resistance trajectories during young adulthood and mid-life cardiac structure and function.

[1]  C. Lewis,et al.  Insulin resistance since early adulthood and appendicular lean mass in middle-aged adults without diabetes: 20 years of the CARDIA study. , 2019, Journal of diabetes and its complications.

[2]  Twenty‐five‐year trajectories of insulin resistance and pancreatic β‐cell response and diabetes risk in nonalcoholic fatty liver disease , 2018, Liver international : official journal of the International Association for the Study of the Liver.

[3]  C. Lewis,et al.  Duration of Diabetes and Prediabetes During Adulthood and Subclinical Atherosclerosis and Cardiac Dysfunction in Middle Age: The CARDIA Study , 2018, Diabetes Care.

[4]  C. Lewis,et al.  Association of Insulin Resistance and Glycemic Metabolic Abnormalities With LV Structure and Function in Middle Age: The CARDIA Study. , 2017, JACC. Cardiovascular imaging.

[5]  J. Lima,et al.  Cardiovascular Health in Young Adulthood and Association with Left Ventricular Structure and Function Later in Life: The Coronary Artery Risk Development in Young Adults Study. , 2015, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[6]  Pamela J Schreiner,et al.  Quality Control and Reproducibility in M‐Mode, Two‐Dimensional, and Speckle Tracking Echocardiography Acquisition and Analysis: The CARDIA Study, Year 25 Examination Experience , 2015, Echocardiography.

[7]  K. Anstey,et al.  Association of cognitive function with glucose tolerance and trajectories of glucose tolerance over 12 years in the AusDiab study , 2015, Alzheimer's Research & Therapy.

[8]  Victor Mor-Avi,et al.  Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. , 2015, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[9]  J. Butler,et al.  Fasting plasma glucose and incident heart failure risk: a population-based cohort study and new meta-analysis. , 2014, Journal of cardiac failure.

[10]  C. Lewis,et al.  Association of the Degree of Adiposity and Duration of Obesity with Measures of Cardiac Structure and Function: The CARDIA Study , 2014, Obesity.

[11]  S. Solomon,et al.  Insulin resistance and incident heart failure the ARIC study (Atherosclerosis Risk in Communities). , 2013, JACC. Heart failure.

[12]  L. Kuller,et al.  Insulin Resistance and Risk of Incident Heart Failure: Cardiovascular Health Study , 2013, Circulation. Heart failure.

[13]  Juned Siddique,et al.  Comparative effectiveness of medication versus cognitive-behavioral therapy in a randomized controlled trial of low-income young minority women with depression. , 2012, Journal of consulting and clinical psychology.

[14]  Daniel S Nagin,et al.  Group-based trajectory modeling in clinical research. , 2010, Annual review of clinical psychology.

[15]  G. Fonarow,et al.  Glucose, obesity, metabolic syndrome, and diabetes relevance to incidence of heart failure. , 2010, Journal of the American College of Cardiology.

[16]  D. Jacobs,et al.  Oxidative Stress and Insulin Resistance , 2009, Diabetes Care.

[17]  D. Jacobs,et al.  Circulating carotenoid concentrations and incident hypertension: the Coronary Artery Risk Development in Young Adults (CARDIA) study , 2009, Journal of hypertension.

[18]  J. Gottdiener,et al.  Left ventricular mass predicts heart failure not related to previous myocardial infarction: the Cardiovascular Health Study. , 2008, European heart journal.

[19]  Stef van Buuren,et al.  Multiple imputation of discrete and continuous data by fully conditional specification , 2007 .

[20]  S. Yusuf,et al.  Glucose Levels Predict Hospitalization for Congestive Heart Failure in Patients at High Cardiovascular Risk , 2007, Circulation.

[21]  S. Kahn,et al.  Mechanisms linking obesity to insulin resistance and type 2 diabetes , 2006, Nature.

[22]  C. Gullion,et al.  The incidence of congestive heart failure in type 2 diabetes: an update. , 2004, Diabetes care.

[23]  H. Taegtmeyer,et al.  Adaptation and maladaptation of the heart in diabetes: Part I: general concepts. , 2002, Circulation.

[24]  K. Roeder,et al.  A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories , 2001 .

[25]  E. Bonora,et al.  Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. , 2000, Diabetes care.

[26]  Yang C. Yuan,et al.  Multiple Imputation for Missing Data: Concepts and New Development , 2000 .

[27]  Daniel S. Nagin,et al.  Analyzing developmental trajectories: A semiparametric, group-based approach , 1999 .

[28]  P. Björntorp,et al.  The effects of hyperinsulinaemia on myocardial mass, blood pressure regulation and central haemodynamics in rats , 1996, European journal of clinical investigation.

[29]  H. S. Klopfenstein,et al.  Echocardiographic design of a multicenter investigation of free-living elderly subjects: the Cardiovascular Health Study. , 1992, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[30]  D. Jacobs,et al.  Validity and Reliability of Short Physical Activity History: Cardia and the Minnesota Heart Health Program. , 1989, Journal of cardiopulmonary rehabilitation.

[31]  S B Hulley,et al.  CARDIA: study design, recruitment, and some characteristics of the examined subjects. , 1988, Journal of clinical epidemiology.

[32]  N. Reichek,et al.  Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. , 1986, The American journal of cardiology.