Tool to assess likelihood of fasting glucose impairment (TAG-IT)

Richelle J. Koopman, Arch G. Mainous, Charles J. Everett, Rickey E. Carter

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

PURPOSE: Fifty-four million people in the United States have impaired fasting glucose (IFG); if it is identified, they may benefit from prevention strategies that can minimize progression to diabetes, morbidity, and mortality. We created a tool to identify those likely to have undetected hyperglycemia. METHODS: We undertook a cross-sectional analysis of existing data from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 of 4,045 US adults aged 20 to 64 years who did not have a disgnosis of diabetes who had a measured fasting plasma glucose. Using characteristics that are self-reported or measured without laboratory data, we developed a logistic regression model predicting IFG and undiagnosed diabetes. Based on this model, we created TAG-IT (the Tool to Assess likelihood of fasting Glucose ImpairmenT), validated it using NHANES III, examined race and ethnicity subsets, and compared it with body mass index (BMI) alone. RESULTS: Predictors in the final tool were age, sex, BMI, family history of diabetes, resting heart rate, and history of hypertension (or measured high blood pressure), which yielded an area under the curve (AUC) of 0.740, significantly better than BMI alone (AUC = 0.644). CONCLUSIONS: The TAG-IT efficiently identifies those most likely to have abnormal fasting glucose and can be used as a decision aid for screening in clinical and population settings, or as a prescreening tool to help identify potential participants for research. The TAG-IT represents an improvement over BMI alone or a list of risk factors in both its utility in younger adult populations and its ability to provide clinicians and researchers with a strategy to assess the risks of combinations of factors.

Original languageEnglish (US)
Pages (from-to)555-561
Number of pages7
JournalAnnals of Family Medicine
Volume6
Issue number6
DOIs
StatePublished - Nov 2008
Externally publishedYes

Fingerprint

Fasting
Glucose
Body Mass Index
Nutrition Surveys
Area Under Curve
Logistic Models
Hypertension
Aptitude
Decision Support Techniques
Hyperglycemia
Population
Young Adult
Cross-Sectional Studies
Heart Rate
Research Personnel
Morbidity
Mortality
Research

Keywords

  • Diabetes mellitus
  • Hyperglycemia
  • Impaired fasting glucose
  • NHANES
  • Nutrition surveys
  • Risk assessment

ASJC Scopus subject areas

  • Family Practice

Cite this

Tool to assess likelihood of fasting glucose impairment (TAG-IT). / Koopman, Richelle J.; Mainous, Arch G.; Everett, Charles J.; Carter, Rickey E.

In: Annals of Family Medicine, Vol. 6, No. 6, 11.2008, p. 555-561.

Research output: Contribution to journalArticle

Koopman, Richelle J. ; Mainous, Arch G. ; Everett, Charles J. ; Carter, Rickey E. / Tool to assess likelihood of fasting glucose impairment (TAG-IT). In: Annals of Family Medicine. 2008 ; Vol. 6, No. 6. pp. 555-561.
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