| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Departments of Preventive Medicine (M.L.C., G.B., M.I.G.), and Physiology and Biophysics (M.I.G.), Keck School of Medicine, Department of Biokinesiology and Physical Therapy (G.Q.S.), University of Southern California, Los Angeles, California 90089; Department of Pediatrics (M.J.W.), Los Angeles County and University of Southern California Medical Center, Los Angeles, California 90033; and Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging (T.T.-K.H.), Tufts University, Boston, Massachusetts 02111
Address all correspondence and requests for reprints to: Michael I. Goran, Professor of Preventive Medicine, Physiology and Biophysics, University of Southern California, 1540 Alcazar Street, CHP Room 208-D, Los Angeles, California 90089. E-mail: goran{at}hsc.edu.
 |
Abstract |
|---|
 Top Abstract IntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
|
Introduction |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
The prevalence of being overweight in Hispanic youth has approximately doubled in the last 10 yr, such that 21.8% of young Hispanics are now overweight (4). The increased prevalence of being overweight in childhood has been paralleled by an increase in the incidence of type 2 diabetes (5) and impaired glucose tolerance (6). The link between obesity and disease risk is thought to be explained by insulin resistance and its associated metabolic abnormalities. It is now clear that increased adiposity, including increased visceral fat, in childhood is associated with lower insulin sensitivity (7, 8, 9). In epidemiological studies, insulin resistance (measured indirectly through fasting insulin) has been shown to cluster with several features of the metabolic syndrome in both White and Black children (10, 11, 12, 13). However, studies designed to explore the prevalence of features of the metabolic syndrome in Hispanic youth are lacking. An evaluation of the relationship between directly measured insulin sensitivity and features of the metabolic syndrome is also required. These issues are important because children of Hispanic ethnicity have a higher prevalence of obesity (14) and are more insulin resistant than Caucasian children independent of adiposity (8). Therefore, the objectives of this study were to 1) establish the prevalence of the metabolic syndrome and its individual components in overweight Hispanic youth, 2) establish the relative role of insulin sensitivity (independent of body composition) on the metabolic syndrome, and 3) explore the association between insulin sensitivity and the individual components of the metabolic syndrome in this population.
|
Subjects and Methods |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
The present study included 126 children and adolescents (73 boys, 53 girls). Thirty-eight percent (Tanner stage 1) were prepubertal, 40.5% were pubertal (Tanner stage 2–3), and 21.4% were postpubertal (Tanner stage 4–5). All subjects were part of the University of Southern California (USC) Study of Latino Adolescents at Risk for Diabetes (SOLAR Diabetes Project), an ongoing longitudinal study to explore risk factors for the development of type 2 diabetes in at-risk youth during adolescence. Subjects at high risk for type 2 diabetes were recruited through clinics and word of mouth and were selected based on the following inclusion criteria: 1) Hispanic origin, 2) a family history for type 2 diabetes (at least one parent, grandparent, or sibling), 3) age 8–13 yr, 4) body mass index at least 85th percentile (15), and 5) absence of diabetes, established by an oral glucose tolerance test (5). Children were of Mexican-American (71%), Central American (16%), or mixed Mexican/Central American (13%) descent and lived in the county of Los Angeles. This study was approved by the USC Institutional Review Board. Written informed consent was obtained from all parents and subjects. Preliminary data have been previously reported from this cohort (9).
Protocol
Outpatient visit: oral glucose tolerance test. Children arrived at the USC General Clinical Research Center (GCRC) at approximately 0800 h after an overnight fast. Subjects ingested 1.75 g of oral glucose solution/kg body weight (to a maximum of 75.0 g). Blood samples were taken via antecubital vein catheter for measurement of glucose before (fasting) and 2 h after the glucose load. Impaired glucose tolerance was defined as a 2-h postchallenge plasma glucose value at least 140 and less than 200 mg/dl (16). In this cohort, 27% of subjects had impaired glucose tolerance (21 boys, 13 girls), and none had diabetes.
Inpatient visit. Children were admitted to the GCRC in the afternoon. A whole-body dual-energy x-ray absorptiometry scan was used to determine whole-body composition using a Hologic QDR 4500W. Children were fasted between 2000 h and testing the following morning.
Insulin-modified frequently sampled iv glucose tolerance test
At approximately 0730 h, flexible iv catheters were placed in both arms. Two fasting blood samples were collected for determining basal glucose and insulin concentrations. At time zero, glucose (25% dextrose, 0.3 g/kg body weight) was administered iv. Blood samples were then collected at the following time points: 2, 4, 8, 19, 22, 30, 40, 50, 70, 100, and 180 min. Insulin [0.02 U/kg body weight; Humulin R (regular insulin for human injection; Eli Lilly, Indianapolis, IN)] was injected iv at 20 min. Plasma was analyzed for glucose and insulin and values were entered into the Minmod Millenium 2003 computer program (version 5.16, Richard N. Bergman, USC) for determination of insulin sensitivity (17, 18, 19).
Anthropometry and blood pressure. Height, weight, and waist circumference (at the umbilicus) were recorded to the nearest 0.1 cm, 0.1 kg, and 0.1 cm, respectively. Body mass index (BMI) and BMI percentiles for age were determined based upon established Centers for Disease Control normative curves (15) using computer software EpiInfo 2000, version 1.1. Sitting blood pressure was measured on two separate days using the right arm after the subject had rested quietly for 5 min. On each occasion, three readings of blood pressure were obtained, and the average was recorded (20).
Definition of the metabolic syndrome.
According to the Adult Treatment Panel III (1), the presence of the metabolic syndrome is defined as having at least three of the following abnormalities: abdominal obesity measured via waist circumference, triglycerides at least 150 mg/dl, high-density lipoprotein (HDL) cholesterol less than 40 mg/dl in men and less than 50 mg/dl in women, blood pressure at least 130/85 mm Hg, and a serum fasting glucose at least 110 mg/dl. Because there is no current definition of the metabolic syndrome in children, we defined metabolic syndrome as the presence of at least three of the following abnormalities: abdominal obesity [waist circumference 
90th percentile for age, gender, and Hispanic ethnicity from NHANES III data kindly provided by J. R. Fernandez, D. Redden, A. Piertrobelli, and D. B. Allison (unpublished data)], hypertriglyceridemia (triglycerides 90th percentile for age and gender) (21), low HDL cholesterol (HDL cholesterol 
10th percentile for age and gender) (21), hypertension (systolic or diastolic blood pressure >90th percentile adjusted for height, age, and gender (20), and finally, impaired glucose tolerance (16).
Assays. Blood samples taken during the oral glucose tolerance were separated for plasma and immediately transported on ice to the Los Angeles County-USC Medical Center Core Laboratory where glucose was analyzed on a Dimension clinical chemistry system and an in vitro hexokinase method (Dade Behring, Deerfield, IL). Blood samples taken during the inpatient visit were centrifuged immediately to obtain plasma, and aliquots were frozen at -70 C until assayed. Glucose was assayed in duplicate using a Yellow Springs Instrument 2700 Analyzer (YSI Inc., Yellow Springs, OH) and a glucose oxidase kit. Insulin was assayed in duplicate using a specific human insulin ELISA kit from Linco (St. Charles, MO). Fasting triglycerides and HDL and total cholesterol were measured using the Vitros chemistry DT slides (Johnson and Johnson Clinical Diagnostics Inc., Rochester, NY). Low-density lipoprotein (LDL) was calculated using the Friedwald formula.
Statistical analysis
Gender differences in physical and metabolic characteristics were examined using a general linear model. Variables that were not normally distributed (age, weight, height, Tanner stage, total fat mass, total lean mass, BMI, blood pressure, triglycerides, HDL cholesterol, fasting insulin, and insulin sensitivity) were log transformed. The prevalence of individual components of the metabolic syndrome was calculated as the total number of subjects with abdominal obesity, low HDL cholesterol, hypertriglyceridemia, hypertension, and impaired glucose tolerance expressed as a percentage of the total group. Subjects were then classified into one of four groups depending on whether they had zero, one, two, or three or more components of the metabolic syndrome.
Simple and partial Pearson correlation analysis was used to establish associations between insulin sensitivity and features of the metabolic syndrome alone and after adjustment for gender, age, Tanner stage, and body composition. Multivariate linear regression analysis was used to establish the independent contribution of insulin sensitivity on 1) log HDL cholesterol, 2) log triglycerides, 3) log systolic blood pressure, 4) log diastolic blood pressure, and 5) 2-h glucose, after adjustment for gender, age, Tanner stage, total fat mass, and total lean mass. For these analyses, the dependent variable was log HDL cholesterol, log triglycerides, log systolic blood pressure, log diastolic blood pressure, or 2-h glucose and the independent variable was insulin sensitivity. To establish differences in mean insulin sensitivity across groups that had zero, one, two, or three or more components of the metabolic syndrome, we performed analysis of covariance with Bonferroni adjustments for multiple comparisons, adjusting for gender, age, Tanner stage, total fat mass, and total lean mass. Results are presented as differences in the estimated marginal mean for insulin sensitivity. All analyses were performed using SPSS version 11.0 (SPSS Inc., Chicago, IL) with a type I error set at P < 0.05.
|
Results |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
Despite similar age, girls were more sexually mature than boys, as determined by Tanner stage (Table 1
). Boys had higher fasting blood glucose (P < 0.01) and diastolic blood pressure (P < 0.05) than girls. Approximately 82% of subjects had a BMI at least 95th percentile for age and gender (15).
|
The prevalence of abdominal obesity, low HDL cholesterol, hypertriglyceridemia, hypertension, and impaired glucose tolerance as defined in Subjects and Methods is shown in Fig. 1. Approximately 90% of participants had at least one component of the metabolic syndrome (Fig. 2). The presence of one, two, or three or more components associated with the metabolic syndrome was 22, 38, and 30%, respectively (Fig. 2). Approximately 10% of subjects had four or five features of the metabolic syndrome. There was a tendency for postpubertal children to have greater number of features of the metabolic syndrome than pubertal and prepubertal children, but this did not reach statistical significance (P = 0.09). Similarly, boys tended to have a higher prevalence of features of the metabolic syndrome compared with girls. However, significant differences between boys and girls were evident only for hypertriglyceridemia (15 vs. 9%, respectively; P < 0.001). Compared with subjects at risk of overweight (BMI 85th and <95th percentile), overweight subjects (BMI 95th percentile) had abdominal obesity (0 vs. 76%), low HDL cholesterol (48 vs. 71%), and high systolic blood pressure (0 vs. 27%), respectively (P < 0.05). Finally, 6% of all subjects had elevated plasma total cholesterol and 10% had elevated LDL cholesterol.
|
|
Pearson correlation analysis showed that log insulin sensitivity was correlated positively with log HDL cholesterol and negatively with log waist circumference, log triglycerides, log systolic blood pressure (P < 0.001), and log diastolic blood pressure (P < 0.01). However, log insulin sensitivity did not correlate with 2-h glucose. As expected log insulin sensitivity was not correlated with total or LDL cholesterol (results not shown). After adjustment for age, gender, total fat mass, and total lean mass, log insulin sensitivity remained significantly related to all components of the metabolic syndrome and the correlation between log insulin sensitivity and 2-h glucose became significant (P < 0.05) (Table 2).
|
Results from the multiple linear regression showed that insulin sensitivity, adjusted for gender, age, total fat mass, and total lean mass, was positively and significantly related to log HDL cholesterol (Table 3, model 1) and negatively related to log triglycerides (Table 3, model 2). Furthermore, insulin sensitivity remained significantly and negatively related to log systolic blood pressure (Table 3, model 3), log diastolic blood pressure (Table 3, model 4), but not to 2-h glucose (Table 3, model 5). Total fat mass was not independently related to any components of the metabolic syndrome (Table 3, models 1–5).
|
shows the estimated marginal means for insulin sensitivity (after adjustment for gender, age, Tanner stage, total fat mass, and total lean mass) in subjects grouped by the number of components of the metabolic syndrome. In general, insulin sensitivity decreased as the number of components of the metabolic syndrome increased (P < 0.001; Fig. 3). Mean insulin sensitivity was significantly higher in subjects with zero and one component of the metabolic syndrome compared with subjects with two and three or more (P < 0.001 and P < 0.01, respectively) components (Fig. 3). There were no significant differences in insulin sensitivity between subjects with zero vs. one component or between subjects with two vs. three or more components of the metabolic syndrome (Fig. 3).
|
|
Discussion |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
The high prevalence of the metabolic syndrome in the current cohort of overweight Hispanic youth does not appear to be unique to this at-risk group. In a recently published study, the prevalence of the metabolic syndrome (based on Adult Treatment Panel III definition) in overweight U.S. adolescents (BMI 95th percentile) participating in NHANES III was 28.7% compared with 0.1, and 6.8% in normal-weight (BMI < 85th percentile) and at-risk of overweight (BMI 85th < 95th percentile) adolescents. Therefore it appears that in general a high proportion of overweight youth may be at increased risk for type 2 diabetes and cardiovascular disease.
The dyslipidemia characteristic of the metabolic syndrome may increase cardiovascular disease risk through mechanisms different from those associated with high total or LDL cholesterol. Autopsy studies in youth have shown that cardiovascular risk factors are related to the early stages of coronary atherosclerosis (22) and more importantly that the extent of lesions increases markedly with multiple risk factors In children, as in adults (23, 24), the presence of multiple risk factors for type 2 diabetes and cardiovascular disease in the same individual has been linked to obesity (25) and hyperinsulinemia (13, 26). Furthermore, high insulin levels have been shown to precede the development of the atherogenic profile characterized by low HDL cholesterol, high triglycerides, and high systolic blood pressure (13). Only a handful of studies in children have explored the relationship between directly measured insulin sensitivity and features of the metabolic syndrome (7, 27, 28, 29). In one study, which included a multiethnic group of Black and White children (n = 357, mean age 
13 yr), insulin sensitivity measured via the insulin clamp was significantly correlated with fasting triglycerides and HDL cholesterol after adjusting for BMI (29). We found that insulin sensitivity measured via the frequently sampled iv tolerance test was negatively associated with systolic blood pressure in a mixed cohort of Black and White prepubertal children (28). Our results are in agreement with previous reports in Black and White children (28, 29) and extend these findings to Hispanic youth. Our data support the view that insulin resistance is at the core of the metabolic syndrome in overweight Hispanic youth. The fact that fat mass was not independently related to features of the metabolic syndrome in our multivariate regression analysis suggests that the effect of overall adiposity on lipids and blood pressure control is mediated by insulin resistance, as has been previously reported in adults (30) and children (28). However, it remains to be established whether visceral fat, which we have recently shown to be negatively and independently related to insulin sensitivity in a subsample of overweight Hispanic youth from this cohort (9), has an independent effect on some of the features of the metabolic syndrome through increased delivery of free fatty acids to the portal circulation.
The relationship between insulin resistance and fasting lipids can be explained through the effect of insulin on lipoprotein metabolism. Insulin plays a central role in determining triglyceride clearance from the blood via activation of lipoprotein lipase and triglyceride output through effects on the synthesis and secretion of very LDL (VLDL) by the liver (31). Furthermore, insulin controls the output of free fatty acids from adipose tissue (32). It is thought that in the insulin-resistant state, triglyceride-rich lipoproteins accumulate in the circulation due to decreased activity of lipoprotein lipase (33), increased lipolysis in adipose tissue (32), and increased output of VLDL particles from the liver (31). The delay in plasma lipoprotein triglyceride clearance allows for cholesterol esters to be passed on from HDL to triglyceride-rich particles, which results in potentially atherogenic lipoproteins particles (34).
The mechanism through which insulin resistance and the accompanying hyperinsulinemia may alter blood pressure is less clear but may relate to direct effects on the sympathetic nervous system and renal sodium reabsorption (35). High blood pressure may develop due to the lack of resistance to these secondary effects of insulin (36) or alternatively, insulin resistance may lead to endothelial dysfunction through the nitric oxide pathway (37).
The lack of association between insulin sensitivity and 2-h glucose in this cohort may be due to the fact that the concentration of glucose in the blood is not only dependent on insulin sensitivity but also on ß-cell secretory capacity (38, 39). In adults, a failure of the ß-cells to adequately compensate for the degree of insulin resistance underlies the transition from insulin resistance to overt type 2 diabetes (38, 39). In children, these relationships are less well established, although early reports suggest a similar pathophysiology (6). We are currently investigating the relative contributions of insulin sensitivity and insulin secretion in the state of impaired glucose tolerance in overweight Hispanic children and adolescents with a family history for type 2 diabetes.
In summary, approximately 90% of overweight Hispanic children with a family history for type 2 diabetes have at least one feature of the metabolic syndrome and 30% possess the metabolic syndrome. Insulin sensitivity decreased as the number of features of the metabolic syndrome increased. Furthermore, insulin sensitivity was independently related to adverse lipids, blood pressure, and abdominal obesity. Collectively, our findings suggest increased risk for both cardiovascular disease and type 2 diabetes in overweight Hispanic youth with a family history for type 2 diabetes. Our results support the view that improving insulin resistance may be crucial in the prevention of both type 2 diabetes and premature cardiovascular disease in this at-risk subpopulation of Hispanic youth. Research efforts should be made to address this issue specifically. For instance, insulin sensitivity may be improved through specific exercise modalities (e.g. resistance training), dietary interventions (e.g. polyunsaturated fatty acids), and/or through pharmacological agents (thiazolidinediones). Results from these studies will help us implement effective interventions for the prevention of chronic disease in the young.
|
Acknowledgments |
|---|
|
Footnotes |
|---|
Abbreviations: BMI, Body mass index; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NHANES, National Health and Nutrition Examination Survey; VLDL, very LDL.
Received July 9, 2003.
Accepted September 24, 2003.
|
References |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
This article has been cited by other articles:
 |
|
 |
|
  J. N Davis, K. E Alexander, E. E Ventura, C. M Toledo-Corral, and M. I Goran Inverse relation between dietary fiber intake and visceral adiposity in overweight Latino youth Am. J. Clinical Nutrition, November 1, 2009; 90(5): 1160 - 1166. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 T. Reinehr, M. Kleber, and A. M. Toschke Small for gestational age status is associated with metabolic syndrome in overweight children Eur. J. Endocrinol., April 1, 2009; 160(4): 579 - 584. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 E. Ventura, J. Davis, C. Byrd-Williams, K. Alexander, A. McClain, C. J. Lane, D. Spruijt-Metz, M. Weigensberg, and M. Goran Reduction in Risk Factors for Type 2 Diabetes Mellitus in Response to a Low-Sugar, High-Fiber Dietary Intervention in Overweight Latino Adolescents Arch Pediatr Adolesc Med, April 1, 2009; 163(4): 320 - 327. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M.-A. Cornier, D. Dabelea, T. L. Hernandez, R. C. Lindstrom, A. J. Steig, N. R. Stob, R. E. Van Pelt, H. Wang, and R. H. Eckel The Metabolic Syndrome Endocr. Rev., December 1, 2008; 29(7): 777 - 822. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 W. H. Tam, R. C. W. Ma, X. Yang, G. T. C. Ko, P. C. Y. Tong, C. S. Cockram, D. S. Sahota, M. S. Rogers, and J. C. N. Chan Glucose Intolerance and Cardiometabolic Risk in Children Exposed to Maternal Gestational Diabetes Mellitus in Utero Pediatrics, December 1, 2008; 122(6): 1229 - 1234. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. W. L. Strufaldi, E. M. K. Da Silva, and R. F. Puccini Metabolic syndrome among prepubertal Brazilian schoolchildren Diabetes and Vascular Disease Research, November 1, 2008; 5(4): 291 - 297. [Abstract] [PDF]
|
|
|
|
 |
|
 M. I. Goran, C. Lane, C. Toledo-Corral, and M. J. Weigensberg Persistence of Pre-Diabetes in Overweight and Obese Hispanic Children: Association With Progressive Insulin Resistance, Poor {beta}-Cell Function, and Increasing Visceral Fat Diabetes, November 1, 2008; 57(11): 3007 - 3012. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 Studies to Treat or Prevent Pediatric Type 2 Diabe Prevalence of the Metabolic Syndrome Among a Racially/Ethnically Diverse Group of U.S. Eighth-Grade Adolescents and Associations With Fasting Insulin and Homeostasis Model Assessment of Insulin Resistance Levels Diabetes Care, October 1, 2008; 31(10): 2020 - 2025. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. B. Schwimmer, P. E. Pardee, J. E. Lavine, A. K. Blumkin, and S. Cook Cardiovascular Risk Factors and the Metabolic Syndrome in Pediatric Nonalcoholic Fatty Liver Disease Circulation, July 15, 2008; 118(3): 277 - 283. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. J. Weigensberg, C. M. Toledo-Corral, and M. I. Goran Association between the Metabolic Syndrome and Serum Cortisol in Overweight Latino Youth J. Clin. Endocrinol. Metab., April 1, 2008; 93(4): 1372 - 1378. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. S. Ford, C. Li, G. Zhao, W. S. Pearson, and A. H. Mokdad Prevalence of the Metabolic Syndrome Among U.S. Adolescents Using the Definition From the International Diabetes Federation Diabetes Care, March 1, 2008; 31(3): 587 - 589. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. E. Caballero, K. Bousquet-Santos, L. Robles-Osorio, V. Montagnani, G. Soodini, S. Porramatikul, O. Hamdy, A. C.L. Nobrega, and E. S. Horton Overweight Latino Children and Adolescents Have Marked Endothelial Dysfunction and Subclinical Vascular Inflammation in Association With Excess Body Fat and Insulin Resistance Diabetes Care, March 1, 2008; 31(3): 576 - 582. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Weiss and F. R. Kaufman Metabolic Complications of Childhood Obesity: Identifying and mitigating the risk Diabetes Care, February 1, 2008; 31(Supplement_2): S310 - S316. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. D De Ferranti and S. K Osganian Epidemiology of paediatric metabolic syndrome and type 2 diabetes mellitus Diabetes and Vascular Disease Research, December 1, 2007; 4(4): 285 - 296. [Abstract] [PDF]
|
|
|
|
|
|
P. W. Franks, R. L. Hanson, W. C. Knowler, C. Moffett, G. Enos, A. M. Infante, J. Krakoff, and H. C. Looker Childhood Predictors of Young-Onset Type 2 Diabetes Diabetes, December 1, 2007; 56(12): 2964 - 2972. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. F. Krebs, J. H. Himes, D. Jacobson, T. A. Nicklas, P. Guilday, and D. Styne Assessment of Child and Adolescent Overweight and Obesity Pediatrics, December 1, 2007; 120(Supplement_4): S193 - S228. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. N Davis, K. E Alexander, E. E Ventura, L. A Kelly, C. J Lane, C. E Byrd-Williams, C. M Toledo-Corral, C. K Roberts, D. Spruijt-Metz, M. J Weigensberg, et al. Associations of dietary sugar and glycemic index with adiposity and insulin dynamics in overweight Latino youth Am. J. Clinical Nutrition, November 1, 2007; 86(5): 1331 - 1338. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P. Velasquez-Mieyer, C. P. Neira, R. Nieto, and P. A. Cowan Review: Obesity and cardiometabolic syndrome in children Therapeutic Advances in Cardiovascular Disease, October 1, 2007; 1(1): 61 - 81. [Abstract] [PDF]
|
|
|
|
|
|
S. Lee, N. Gungor, F. Bacha, and S. Arslanian Insulin Resistance: Link to the components of the metabolic syndrome and biomarkers of endothelial dysfunction in youth Diabetes Care, August 1, 2007; 30(8): 2091 - 2097. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Snitker, K. Y. Le, E. Hager, B. Caballero, and M. M. Black Association of Physical Activity and Body Composition With Insulin Sensitivity in a Community Sample of Adolescents Arch Pediatr Adolesc Med, July 1, 2007; 161(7): 677 - 683. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Ramachandran, C. Snehalatha, A. Yamuna, N. Murugesan, and K.M. V. Narayan Insulin Resistance and Clustering of Cardiometabolic Risk Factors in Urban Teenagers in Southern India Diabetes Care, July 1, 2007; 30(7): 1828 - 1833. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. M. Garcia, L. J. Duckett, E. M. Saewyc, and L. H. Bearinger Perceptions of Health Among Immigrant Latino Adolescents From Mexico J Holist Nurs, June 1, 2007; 25(2): 81 - 91. [Abstract] [PDF]
|
|
|
|
 |
|
 R. Kelishadi Childhood Overweight, Obesity, and the Metabolic Syndrome in Developing Countries Epidemiol. Rev., May 3, 2007; (2007) mxm003v1. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
G. Q. Shaibi, M. L. Cruz, M. J. Weigensberg, C. M. Toledo-Corral, C. J. Lane, L. A. Kelly, J. N. Davis, C. Koebnick, E. E. Ventura, C. K. Roberts, et al. Adiponectin Independently Predicts Metabolic Syndrome in Overweight Latino Youth J. Clin. Endocrinol. Metab., May 1, 2007; 92(5): 1809 - 1813. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. Goodman, S. R. Daniels, J. B. Meigs, and L. M. Dolan Instability in the Diagnosis of Metabolic Syndrome in Adolescents Circulation, May 1, 2007; 115(17): 2316 - 2322. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. N. Davis, M. J. Weigensberg, G. Q. Shaibi, N. C. Crespo, L. A. Kelly, C. J. Lane, and M. I. Goran Influence of Breastfeeding on Obesity and Type 2 Diabetes Risk Factors in Latino Youth With a Family History of Type 2 Diabetes Diabetes Care, April 1, 2007; 30(4): 784 - 789. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. L. Rosenfield Identifying Children at Risk for Polycystic Ovary Syndrome J. Clin. Endocrinol. Metab., March 1, 2007; 92(3): 787 - 796. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. H. Friedlander, J. Weinreb, I. Friedlander, and J. A. Yagiela Metabolic syndrome: Pathogenesis, medical care and dental implications J Am Dent Assoc, February 1, 2007; 138(2): 179 - 187. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 Y. Asato, K. Katsuren, T. Ohshiro, K. Kikawa, T. Shimabukuro, and T. Ohta Relationship Between Lipid Abnormalities and Insulin Resistance in Japanese School Children Arterioscler Thromb Vasc Biol, December 1, 2006; 26(12): 2781 - 2786. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Rodriguez-Moran and F. Guerrero-Romero Hyperinsulinemia in Healthy Children and Adolescents With a Positive Family History for Type 2 Diabetes Pediatrics, November 1, 2006; 118(5): e1516 - e1522. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Lopez-Capape, M. Alonso, E. Colino, C. Mustieles, J. Corbaton, and R. Barrio Frequency of the metabolic syndrome in obese Spanish pediatric population. Eur. J. Endocrinol., August 1, 2006; 155(2): 313 - 319. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Monzavi, D. Dreimane, M. E. Geffner, S. Braun, B. Conrad, M. Klier, and F. R. Kaufman Improvement in Risk Factors for Metabolic Syndrome and Insulin Resistance in Overweight Youth Who Are Treated With Lifestyle Intervention Pediatrics, June 1, 2006; 117(6): e1111 - e1118. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
The STOPP-T2D Prevention Study Group Presence of Diabetes Risk Factors in a Large U.S. Eighth-Grade Cohort Diabetes Care, February 1, 2006; 29(2): 212 - 217. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. D. Coviello, R. S. Legro, and A. Dunaif Adolescent Girls with Polycystic Ovary Syndrome Have an Increased Risk of the Metabolic Syndrome Associated with Increasing Androgen Levels Independent of Obesity and Insulin Resistance J. Clin. Endocrinol. Metab., February 1, 2006; 91(2): 492 - 497. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 Where to Begin With the Extremely Obese Child DOC News, December 1, 2005; 2(12): 5 - 5. [Full Text]
|
|
|
|
|
|
J. N Davis, E. E Ventura, M. J Weigensberg, G. D. Ball, M. L Cruz, G. Q Shaibi, and M. I Goran The relation of sugar intake to {beta} cell function in overweight Latino children Am. J. Clinical Nutrition, November 1, 2005; 82(5): 1004 - 1010. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 K. C. Copeland, D. Becker, M. Gottschalk, and D. Hale Type 2 Diabetes in Children and Adolescents: Risk Factors, Diagnosis, and Treatment Clin. Diabetes, October 1, 2005; 23(4): 181 - 185. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. J. Weigensberg, G. D.C. Ball, G. Q. Shaibi, M. L. Cruz, and M. I. Goran Decreased {beta}-Cell Function in Overweight Latino Children With Impaired Fasting Glucose Diabetes Care, October 1, 2005; 28(10): 2519 - 2524. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
P.H. Whincup, J.A. Gilg, A.E. Donald, M. Katterhorn, C. Oliver, D.G. Cook, and J.E. Deanfield Arterial Distensibility in Adolescents: The Influence of Adiposity, the Metabolic Syndrome, and Classic Risk Factors Circulation, September 20, 2005; 112(12): 1789 - 1797. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Weitzman, S. Cook, P. Auinger, T. A. Florin, S. Daniels, M. Nguyen, and J. P. Winickoff Tobacco Smoke Exposure Is Associated With the Metabolic Syndrome in Adolescents Circulation, August 9, 2005; 112(6): 862 - 869. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Lauenborg, E. Mathiesen, T. Hansen, C. Glumer, T. Jorgensen, K. Borch-Johnsen, P. Hornnes, O. Pedersen, and P. Damm The Prevalence of the Metabolic Syndrome in a Danish Population of Women with Previous Gestational Diabetes Mellitus Is Three-Fold Higher than in the General Population J. Clin. Endocrinol. Metab., July 1, 2005; 90(7): 4004 - 4010. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. M Boustany, D. R. Brown, D. C. Randall, and L. A Cassis AT1-receptor antagonism reverses the blood pressure elevation associated with diet-induced obesity Am J Physiol Regulatory Integrative Comp Physiol, July 1, 2005; 289(1): R181 - R186. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 G. M. Reaven The Metabolic Syndrome: Requiescat in Pace Clin. Chem., June 1, 2005; 51(6): 931 - 938. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
C. L Braunschweig, S. Gomez, H. Liang, K. Tomey, B. Doerfler, Y. Wang, C. Beebe, and R. Lipton Obesity and risk factors for the metabolic syndrome among low-income, urban, African American schoolchildren: the rule rather than the exception? Am. J. Clinical Nutrition, May 1, 2005; 81(5): 970 - 975. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. C.Q. da Silva, W. L. Miranda, A. R. Chacra, and S. A. Dib Metabolic Syndrome and Insulin Resistance in Normal Glucose Tolerant Brazilian Adolescents With Family History of Type 2 Diabetes Diabetes Care, March 1, 2005; 28(3): 716 - 718. [Full Text] [PDF]
|
|
|
|
|
|
A. Godoy-Matos, L. Carraro, A. Vieira, J. Oliveira, E. P. Guedes, L. Mattos, C. Rangel, R. O. Moreira, W. Coutinho, and J. C. Appolinario Treatment of Obese Adolescents with Sibutramine: A Randomized, Double-Blind, Controlled Study J. Clin. Endocrinol. Metab., March 1, 2005; 90(3): 1460 - 1465. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Jessup and J. S. Harrell The Metabolic Syndrome: Look for It in Children and Adolescents, Too! Clin. Diabetes, January 1, 2005; 23(1): 26 - 32. [Full Text] [PDF]
|
|
|
|
 |
|
 S. P. Bagby Obesity-Initiated Metabolic Syndrome and the Kidney: A Recipe for Chronic Kidney Disease? J. Am. Soc. Nephrol., November 1, 2004; 15(11): 2775 - 2791. [Full Text] [PDF]
|
|
|
|
 |
|
 S. K. Varma Metabolic Syndrome in Overweight Hispanic Youth and the Role of Insulin Sensitivity AAP Grand Rounds, October 1, 2004; 12(4): 48 - 49. [Full Text] [PDF]
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Endocrinology | Endocrine Reviews | J. Clin. End. & Metab. |
| Molecular Endocrinology | Recent Prog. Horm. Res. | All Endocrine Journals |
