Kumar, Seema

Background: Thyrotropin (TSH) levels display a positive association with body mass index (BMI), and the prevalence of isolated hyperthyrotropinemia is higher in obese adolescents compared to their normal weight controls. However, the metabolic significance of the higher TSH in obese adolescents is less clear. The objective of this study was to determine the relationship between TSH concentrations and insulin sensitivity, lipids, and adipokines in euthyroid, non-diabetic, obese adolescents. Methods: Thirty-six euthyroid, non-diabetic, obese adolescents between the ages of 12 and 18 years underwent a 75 g oral glucose tolerance test. Insulin sensitivity (S i ) and pancreatic β-cell function as assessed by disposition index (DI) were measured using the oral glucose minimal model approach. Cholesterol (total, low-density lipoprotein [LDL-C], and high-density lipoprotein [HDL-C]), triglycerides (TG), interleukin-6 (IL-6), total and high molecular weight (HMW) adiponectin, and retinol binding protein-4 (RBP4) were also determined. Associations between measures of thyroid function and S i , DI, lipids, and adipokines were computed using Pearson's correlation coefficient and multiple regression analysis. Results: The mean age of the subjects was 14.3±1.88 years, and the mean BMI was 32.5±4.65 kg/m 2 ; 97% were non-Hispanic white and 47% were male. The mean TSH was 2.7±1.2 mIU/L. Increasing serum TSH was correlated with decreasing S i (log S i ) in the entire cohort ( p =0.03), but this relationship persisted only in males ( p =0.02). The correlation between TSH and S i in males remained significant after adjusting for BMI ( p =0.02). There was no correlation between TSH and pancreatic β-cell function as assessed by DI ( p =0.48). TSH correlated positively with LDL-C ( p =0.04) and IL-6 ( p =0.03), but these associations vanished or weakened after adjusting for BMI (LDL-C p- value=0.44; IL-6 p- value=0.07). Conclusions: This study suggests a sex-specific association between TSH and insulin sensitivity in euthyroid, non-diabetic, obese adolescent males. Prospective studies are warranted to explore further this sexual dimorphism in the relationship between thyroid function and insulin sensitivity and to determine if obese adolescents with insulin resistance receiving thyroid supplements for hypothyroidism would benefit from targeting TSH levels in the lower half of normal range.

BACKGROUND AND OBJECTIVE:There is ongoing concern that stimulant medications may adversely affect growth. In a sample of attention-deficit/hyperactivity disorder (ADHD) cases and controls from a population-based birth cohort, we assessed growth and the association between stimulant treatment and growth.METHODS:Subjects included childhood ADHD cases (N = 340) and controls (N = 680) from a 1976 to 1982 birth cohort (N = 5718). Height and stimulant treatment information were abstracted from medical records and obtained during a prospective, adult follow-up study. For each subject, a parametric penalized spline smoothing method modeled height over time, and the corresponding height velocity was calculated as the first derivative. Peak height velocity (PHV) age and magnitude were estimated from the velocity curves. Among stimulant-treated ADHD cases, we analyzed height Z scores at the beginning, at the end, and 24 months after the end of treatment.RESULTS:Neither ADHD itself nor treatment with stimulants was associated with differences in magnitude of PHV or final adult height. Among boys treated with stimulants, there was a positive correlation between duration of stimulant usage before PHV and age at PHV (r = 0.21, P = .01). There was no significant correlation between duration of treatment and change in height Z scores (r = −0.08 for beginning vs end change, r = 0.01 for end vs 24 months later change). Among the 59 ADHD cases treated for ≥3 years, there was a clinically insignificant decrease in mean Z score from beginning (0.48) to end (0.33) of treatment (P = .06).CONCLUSIONS:Our findings suggest that ADHD treatment with stimulant medication is not associated with differences in adult height or significant changes in growth.

SummaryBackgroundThe ideal means of identifying obesity in children and adolescents has not been determined although body mass index (BMI) is the most widely used screening tool.ObjectiveWe performed a systematic review and meta‐analysis of studies assessing the diagnostic performance of BMI to detect adiposity in children up to 18 years.MethodsData sources were EMBASE, MEDLINE, Cochrane, Database of Systematic Reviews Cochrane CENTRAL, Web of Science and SCOPUS up to March 2013. Studies providing measures of diagnostic performance of BMI and using body composition technique for body fat percentage measurement were included.ResultsThirty‐seven eligible studies that evaluated 53 521 patients, with mean age ranging from 4 to 18 years were included in the meta‐analysis. Commonly used BMI cut‐offs for obesity showed pooled sensitivity to detect high adiposity of 0.73 (confidence interval [CI] 0.67–0.79), specificity of 0.93 (CI 0.88–0.96) and diagnostic odds ratio of 36.93 (CI 20.75–65.71). Males had lower sensitivity. Moderate heterogeneity was observed (I2 = 48%) explained in meta‐regression by differences across studies in race, BMI cut‐off, BMI reference criteria (Center for Disease Control vs. International Obesity Task Force) and reference standard method assessing adiposity.ConclusionBMI has high specificity but low sensitivity to detect excess adiposity and fails to identify over a quarter of children with excess body fat percentage.

Objective: To determine the temporal trends in diagnosis and management of pediatric overweight/obesity by primary care providers at a single medical center. Patients: Children 2 to 18 years old undergoing a general medical examination during 3 calendar years (2003, 2006, and 2009). The number of visits for general medical examination were 6390 in 2003, 6646 in 2006, and 7408 in 2009. Methods: We performed a retrospective review of the electronic medical records for weight related diagnostic and/or management terms and laboratory screening in children with body mass index at or greater than the 85th percentile (n = 1630 in 2003, 1495 in 2006, and 1730 in 2009). Results: There was a significant increase in the diagnosis of obesity among obese children seen in 2009 (53.3%) compared with 2006 (36%, P < .001) and 2003 (24.3%, P < .001). Weight-related counseling was documented in a higher proportion of obese children in 2009 (49.4%) compared with 2006 (34.8%) and 2003 (26.6%). There was a significant increase in counseling regarding screen time in 2009 compared with 2006. A significant increase in screening for nonalcoholic fatty liver disease was also noted (30.5% in 2009 vs 21.9% in 2006, P = .018). Conclusions: There has been steady improvement in the rates of obesity diagnosis and obesity-related counseling by primary care providers. However, continued efforts to increase awareness of these issues are needed as nearly half of obese children remained undiagnosed and recommended laboratory screening for obesity-related comorbidities was performed in only a third of obese children.