Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-3-1
pubmed:abstractText
OBJECTIVE This study examines the usefulness of childhood glucose homeostasis variables (glucose, insulin, and insulin resistance index [homeostasis model assessment of insulin resistance {HOMA-IR}]) in predicting pre-diabetes and type 2 diabetes and related cardiometabolic risk factors in adulthood. RESEARCH DESIGN AND METHODS This retrospective cohort study consisted of normoglycemic (n = 1,058), pre-diabetic (n = 37), and type 2 diabetic (n = 25) adults aged 19-39 years who were followed on average for 17 years since childhood. RESULTS At least 50% of the individuals who ranked highest (top quintile) in childhood for glucose homeostasis variables maintained their high rank by being above the 60th percentile in adulthood. In a multivariate model, the best predictors of adulthood glucose homeostasis variables were the change in BMI Z score from childhood to adulthood and childhood BMI Z score, followed by the corresponding childhood levels of glucose, insulin, and HOMA-IR. Further, children in the top decile versus the rest for insulin and HOMA-IR were 2.85 and 2.55 times, respectively, more likely to develop pre-diabetes; children in the top decile versus the rest for glucose, insulin, and HOMA-IR were 3.28, 5.54, and 5.84 times, respectively, more likely to develop diabetes, independent of change in BMI Z score, baseline BMI Z score, and total-to-HDL cholesterol ratio. In addition, children with adverse levels (top quintile versus the rest) of glucose homeostasis variables displayed significantly higher prevalences of, among others, hyperglycemia, hypertriglyceridemia, and metabolic syndrome. CONCLUSIONS Adverse levels of glucose homeostasis variables in childhood not only persist into adulthood but also predict adult pre-diabetes and type 2 diabetes and relate to cardiometabolic risk factors.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-10421238, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-11368702, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-11756342, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-12043359, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-12765960, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-14511928, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-14988289, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-16207847, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-16644654, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-16732006, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-16769996, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-17720898, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-18165338, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-18628566, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-18678615, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-18957533, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-2036208, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-20805265, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-2200802, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-3056758, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-7503110, http://linkedlifedata.com/resource/pubmed/commentcorrection/20009096-8616941
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1935-5548
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
670-5
pubmed:dateRevised
2011-7-25
pubmed:meshHeading
pubmed-meshheading:20009096-Adult, pubmed-meshheading:20009096-Age Factors, pubmed-meshheading:20009096-Age of Onset, pubmed-meshheading:20009096-Biological Markers, pubmed-meshheading:20009096-Blood Glucose, pubmed-meshheading:20009096-Cardiovascular Diseases, pubmed-meshheading:20009096-Child, pubmed-meshheading:20009096-Cross-Sectional Studies, pubmed-meshheading:20009096-Diabetes Mellitus, Type 2, pubmed-meshheading:20009096-Female, pubmed-meshheading:20009096-Homeostasis, pubmed-meshheading:20009096-Humans, pubmed-meshheading:20009096-Louisiana, pubmed-meshheading:20009096-Male, pubmed-meshheading:20009096-Prediabetic State, pubmed-meshheading:20009096-Predictive Value of Tests, pubmed-meshheading:20009096-Retrospective Studies, pubmed-meshheading:20009096-Risk Factors, pubmed-meshheading:20009096-Young Adult
pubmed:year
2010
pubmed:articleTitle
Utility of childhood glucose homeostasis variables in predicting adult diabetes and related cardiometabolic risk factors: the Bogalusa Heart Study.
pubmed:affiliation
The Tulane Center for Cardiovascular Health, Tulane University Health Sciences Center, New Orleans, Louisiana, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies, Research Support, N.I.H., Extramural