Literature DB >> 15973311

Frequency of abnormal carbohydrate metabolism and diabetes in a population-based screening of adolescents.

Lawrence M Dolan1, Judy Bean, David D'Alessio, Robert M Cohen, John A Morrison, Elizabeth Goodman, Stephen R Daniels.   

Abstract

OBJECTIVE: To document the frequency of glucose intolerance in adolescents in a population-based study of primarily African-American/Non-Hispanic whites in an urban-suburban school district. STUDY
DESIGN: Measurement of fasting and 2-hour post-glucose load plasma glucose concentrations.
RESULTS: Carbohydrate intolerance (either impaired fasting glucose, impaired glucose tolerance, or both) was identified in 8.0%, near-diabetes (1 fasting glucose > or = 126 mg/dL [7.0 mmol/L] and/or 2-hour glucose > or = 200 mg/dL [11.1 mmol/L]) in 0.3%, and diabetes in 0.36% (type 1A = 0.24%; type 2 = 0.08%; undiagnosed type 2 = 0.04%). A model for abnormal carbohydrate metabolism was constructed with regression analysis in the Carbohydrate Intolerance (CI)/near-diabetes group and with logistic regression in the entire study population. Risk factors for the development of CI/near-diabetes included having a 1 unit increase in body mass index (BMI) z-score and either being non-Hispanic white or in the pubertal group. Increased fasting glucose correlated with having puberty and decreased BMI z-score, whereas 2-hour glucose correlated with increased BMI z-score. By using National Health and Nutrition Survey (NHANES) III (1988-1994) definitions, impaired fasting glucose was present in 2.0% in this study versus 1.7% (NHANES III).
CONCLUSION: The prevalence of CI/near-diabetes was 8.3%. Undiagnosed diabetes mellitus was rare. One third of adolescents with diabetes mellitus could be classified as having type 2 diabetes mellitus. The adult model of the progression of insulin resistance to type 2 diabetes mellitus in adolescents may be valid. Despite the increase in the overweight population since NHANES III, abnormalities in glucose metabolism have not changed significantly.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15973311     DOI: 10.1016/j.jpeds.2005.01.045

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  45 in total

1.  Presence of diabetes risk factors in a large U.S. eighth-grade cohort.

Authors:  T Baranowski; D M Cooper; J Harrell; K Hirst; F R Kaufman; M Goran; K Resnicow
Journal:  Diabetes Care       Date:  2006-02       Impact factor: 19.112

2.  Re: "Prevalence of diagnosed and undiagnosed type 2 diabetes mellitus among US adolescents: results from the continuous NHANES, 1999-2010".

Authors:  Dana Dabelea; Jean M Lawrence; Catherine Pihoker; Lawrence Dolan; Ralph B D'Agostino; Santica Marcovina; Elizabeth J Mayer-Davis
Journal:  Am J Epidemiol       Date:  2013-11-15       Impact factor: 4.897

3.  Optimism and the socioeconomic status gradient in adolescent adiposity.

Authors:  Dhruv Khullar; Nicolas M Oreskovic; James M Perrin; Elizabeth Goodman
Journal:  J Adolesc Health       Date:  2011-06-08       Impact factor: 5.012

4.  A risk score for identifying overweight adolescents with dysglycemia in primary care settings.

Authors:  Joyce M Lee; Achamyeleh Gebremariam; Susan J Woolford; Beth A Tarini; Melissa A Valerio; Surair Bashir; Ashley J Eason; Preciosa Y Choi; James G Gurney
Journal:  J Pediatr Endocrinol Metab       Date:  2013       Impact factor: 1.634

5.  Hemoglobin A1c assay variations and implications for diabetes screening in obese youth.

Authors:  Christine L Chan; Kim McFann; Lindsey Newnes; Kristen J Nadeau; Philip S Zeitler; Megan Kelsey
Journal:  Pediatr Diabetes       Date:  2014-03-17       Impact factor: 4.866

6.  Free Fatty Acids as an Indicator of the Nonfasted State in Children.

Authors:  Shavonne M Collins; Miranda M Broadney; Nejla Ghane; Elisabeth K Davis; Manuela Jaramillo; Lisa M Shank; Sheila M Brady; Jack A Yanovski
Journal:  Pediatrics       Date:  2019-05-03       Impact factor: 7.124

7.  Socioeconomic status gradients in inflammation in adolescence.

Authors:  Stefanie A Pietras; Elizabeth Goodman
Journal:  Psychosom Med       Date:  2013-03-26       Impact factor: 4.312

8.  Risk factors for type 2 diabetes in a sixth- grade multiracial cohort: the HEALTHY study.

Authors:  Francine R Kaufman; Kathryn Hirst; Barbara Linder; Tom Baranowski; Dan M Cooper; Gary D Foster; Linn Goldberg; Joanne S Harrell; Marsha D Marcus; Roberto P Treviño
Journal:  Diabetes Care       Date:  2009-02-05       Impact factor: 17.152

9.  Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among U.S. adolescents: National Health and Nutrition Examination Survey 2005-2006.

Authors:  Chaoyang Li; Earl S Ford; Guixiang Zhao; Ali H Mokdad
Journal:  Diabetes Care       Date:  2008-10-28       Impact factor: 17.152

10.  Gender differences in the relationships among obesity, adiponectin and brachial artery distensibility in adolescents and young adults.

Authors:  E M Urbina; P Khoury; L J Martin; D D'Alessio; L M Dolan
Journal:  Int J Obes (Lond)       Date:  2009-08-25       Impact factor: 5.095

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.