Carolyn Bradner Jasik1, Eileen C King2, Erinn Rhodes3, Brooke Sweeney4, Michele Mietus-Snyder5, H Mollie Grow6, J Mitchell Harris7, Lynne Lostocco7, Elizabeth Estrada8, Katie Boyle9, Jared M Tucker10, Ihuoma U Eneli11, Susan J Woolford12, George Datto13, William Stratbucker10, Shelley Kirk2. 1. 1 UCSF Benioff Children's Hospitals , Oakland, CA. 2. 2 Cincinnati Children's Hospital , Cincinnati, OH. 3. 3 Boston Children's Hospital , Boston, MA. 4. 4 Children's Mercy Hospitals and Clinics , Kansas City, MO. 5. 5 Children's National Health System , Washington, DC. 6. 6 Seattle Children's Hospital , Seattle, WA. 7. 7 Children's Hospital Association , Washington, DC. 8. 8 North Carolina Children's Hospital , Chapel Hill, NC. 9. 9 Connecticut Children's Medical Center , Hartford, CT. 10. 10 Helen DeVos Children's Hospital , Grand Rapids, MI. 11. 11 Nationwide Children's Hospital , Columbus, OH. 12. 12 C.S. Mott Children's Hospital , Ann Arbor, MI. 13. 13 Nemours/Alfred I. duPont Hospital for Children , Wilmington, DE.
Abstract
BACKGROUND: There are no existing multisite national data on obese youth presenting for pediatric weight management. The primary aim was to describe BMI status and comorbidities among youth with obesity presenting for pediatric weight management (PWM) at programs within the Pediatric Obesity Weight Evaluation Registry (POWER). METHODS: Data were collected from 2009-2010 among 6737 obese patients ages 2-17. Patients were classified in three groups by BMI (kg/m(2)) cutoffs and percent of the 95th percentile for BMI: (1) obesity; (2) severe obesity class 2; and (3) severe obesity class 3. Weighted percentages are presented for baseline laboratory tests, blood pressure, and demographics. Generalized logistic regression with clustering was used to examine the relationships between BMI status and comorbidities. RESULTS: Study youth were 11.6 ± 3.4 years of age, 56% female, 31% black, 17% Hispanic, and 53% publicly insured. Twenty-five percent of patients had obesity (n = 1674), 34% (2337) had severe obesity class 2, and 41% (2726) had severe obesity class 3. Logistic regression revealed that males (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.5-2.0), blacks (OR, 1.7; 95% CI, 1.5-2.0), age <6 years (OR, 2.0; 95% CI, 1.5-2.6), and public insurance (OR, 1.8; 95% CI, 1.5-2.0) had a higher odds of severe obesity class 3. Severe obesity class 3 was associated with higher odds of laboratory abnormalities for hemoglobin A1c (OR, 1.7; 95% CI, 1.3-2.2), alanine aminotransferase ≥40 U/L (OR, 1.9; 95% CI, 1.3-2.6), and elevated systolic blood pressure (OR, 2.5; 95% CI, 2.0-3.0). CONCLUSIONS: Youth with obesity need earlier access to PWM given that they are presenting when they have severe obesity with significant comorbidities.
BACKGROUND: There are no existing multisite national data on obese youth presenting for pediatric weight management. The primary aim was to describe BMI status and comorbidities among youth with obesity presenting for pediatric weight management (PWM) at programs within the Pediatric Obesity Weight Evaluation Registry (POWER). METHODS: Data were collected from 2009-2010 among 6737 obesepatients ages 2-17. Patients were classified in three groups by BMI (kg/m(2)) cutoffs and percent of the 95th percentile for BMI: (1) obesity; (2) severe obesity class 2; and (3) severe obesity class 3. Weighted percentages are presented for baseline laboratory tests, blood pressure, and demographics. Generalized logistic regression with clustering was used to examine the relationships between BMI status and comorbidities. RESULTS: Study youth were 11.6 ± 3.4 years of age, 56% female, 31% black, 17% Hispanic, and 53% publicly insured. Twenty-five percent of patients had obesity (n = 1674), 34% (2337) had severe obesity class 2, and 41% (2726) had severe obesity class 3. Logistic regression revealed that males (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.5-2.0), blacks (OR, 1.7; 95% CI, 1.5-2.0), age <6 years (OR, 2.0; 95% CI, 1.5-2.6), and public insurance (OR, 1.8; 95% CI, 1.5-2.0) had a higher odds of severe obesity class 3. Severe obesity class 3 was associated with higher odds of laboratory abnormalities for hemoglobin A1c (OR, 1.7; 95% CI, 1.3-2.2), alanine aminotransferase ≥40 U/L (OR, 1.9; 95% CI, 1.3-2.6), and elevated systolic blood pressure (OR, 2.5; 95% CI, 2.0-3.0). CONCLUSIONS: Youth with obesity need earlier access to PWM given that they are presenting when they have severe obesity with significant comorbidities.
Authors: Thao-Ly T Phan; Jared M Tucker; Robert Siegel; Amy L Christison; William Stratbucker; Lloyd N Werk; Jobayer Hossain; George Datto; Douglas A Gentile; Sam Stubblefield Journal: Child Obes Date: 2018-09-29 Impact factor: 2.992
Authors: Barbara Bohn; Susanna Wiegand; Wieland Kiess; Thomas Reinehr; Rainer Stachow; Johannes Oepen; Helmut Langhof; Thomas Hermann; Kurt Widhalm; Martin Wabitsch; Ines Gellhaus; Reinhard Holl Journal: Obes Facts Date: 2017-10-31 Impact factor: 3.942
Authors: Aaron S Kelly; Marsha D Marcus; Jack A Yanovski; Susan Z Yanovski; Stavroula K Osganian Journal: Int J Obes (Lond) Date: 2018-10-03 Impact factor: 5.095