title: Developing an objective evaluation method to estimate diabetes risk in community-based settings.
abstract: BACKGROUND
  Exercise interventions often aim to affect abdominal obesity and glucose tolerance, two significant risk factors for type 2 diabetes. Because of limited financial and clinical resources in community and university-based environments, intervention effects are often measured with interviews or questionnaires and correlated with weight loss or body fat indicated by body bioimpedence analysis (BIA). However, self-reported assessments are subject to high levels of bias and low levels of reliability. Because obesity and body fat are correlated with diabetes at different levels in various ethnic groups, data reflecting changes in weight or fat do not necessarily indicate changes in diabetes risk. To determine how exercise interventions affect diabetes risk in community and university-based settings, improved evaluation methods are warranted.
  
  
  METHODS
  We compared a noninvasive, objective measurement technique--regional BIA--with whole-body BIA for its ability to assess abdominal obesity and predict glucose tolerance in 39 women. To determine regional BIA's utility in predicting glucose, we tested the association between the regional BIA method and blood glucose levels.
  
  
  RESULTS
  Regional BIA estimates of abdominal fat area were significantly correlated (r = 0.554, P < 0.003) with fasting glucose. When waist circumference and family history of diabetes were added to abdominal fat in multiple regression models, the association with glucose increased further (r = 0.701, P < 0.001).
  
  
  CONCLUSIONS
  Regional BIA estimates of abdominal fat may predict fasting glucose better than whole-body BIA as well as provide an objective assessment of changes in diabetes risk achieved through physical activity interventions in community settings.
authors.affiliation: St Luke's-Roosevelt Hospital, Columbia University College of Physicians and Surgeons, Columbia University Mailman School of Public Health, New York, New York, USA. skenya@med.miami.edu
authors.forename: Sonjia
authors.initials: S
authors.lastname: Kenya
authors.forename: Qing
authors.initials: Q
authors.lastname: He
authors.forename: Robert
authors.initials: R
authors.lastname: Fullilove
authors.forename: Donald P
authors.initials: DP
authors.lastname: Kotler
mesh_terms: D050153:Abdominal Fat; D050154:Adiposity; D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D003153:Community Health Services; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology* / Q000209:etiology; D042241:Early Diagnosis; D017097:Electric Impedance; D005192:Family Health; D005260:Female; D018149:Glucose Intolerance / Q000175:diagnosis* / Q000209:etiology; D006801:Humans; D008875:Middle Aged; D009519:New York City / Q000453:epidemiology; D056128:Obesity, Abdominal / Q000097:blood / Q000503:physiopathology*; D011236:Prediabetic State / Q000175:diagnosis* / Q000453:epidemiology* / Q000209:etiology; D012307:Risk Factors; D013333:Student Health Services; D055105:Waist Circumference; D055815:Young Adult
chemical_list: D001786:Blood Glucose