Insulin sensitivity, glucose effectiveness, and body fat distribution pattern in nondiabetic offspring of patients with NIDDM.

OBJECTIVE: To determine the relationship of insulin sensitivity (SI), glucose effectiveness (glucose-dependent glucose transport [SG]), and body fat distribution patterns in glucose-tolerant offspring of patients with non-insulin-dependent diabetes mellitus (NIDDM). RESEARCH DESIGN AND METHODS: Ten glucose-tolerant offspring of patients with NIDDM and 10 age-, sex-, and weight-matched healthy control subjects without family history of diabetes were studied with the minimal model method of Bergman et al. Body fat composition and distribution pattern were assessed by the bioelectrical impedance analyzer and waist-hip circumference ratios (WHR), respectively, in each subject. RESULTS: Mean fasting serum glucose (4.39 +/- 0.17 vs. 3.94 +/- 0.17 mM) and postglucose peak (18.50 +/- 1.50 vs. 13.20 +/- 1.06 mM) levels were significantly greater (P less than 0.05) in the offspring than in the control subjects. Mean fasting serum insulin levels were slightly greater but not significantly different in the offspring versus control subjects (64 +/- 14 vs. 29 +/- 7 pM). After intravenous stimulation with glucose and tolbutamide, the mean serum insulin rose to significantly greater (P less than 0.05) levels at t = 5 and 25 min in the offspring compared with the control subjects. Mean SI was significantly reduced by 45% in the offspring compared with the control subjects (4.77 +/- 0.67 vs. 8.37 +/- 1.24 x 10(-4) min-1.mU-1.L-1). However, SG was not different in the offspring versus control subjects (1.92 +/- 0.12 vs. 2.10 +/- 0.17 x 10(-2) min-1). SI correlated significantly and inversely with the percentage of body fat mass (r = -0.580, P less than 0.05) but not with the WHR (r = -0.019) in the offspring. We found a negative association between SI and basal serum insulin (r = -0.798, P less than 0.01) but not with the poststimulation incremental insulin responses in the offspring. Family history of diabetes independently accounted for at least 27% of variance in the SI in our subjects. CONCLUSIONS: Our study confirmed that insulin insensitivity but not a reduced glucose effectiveness exists in young glucose-tolerant offspring of patients with NIDDM. The reduced S1 appears to be causally related to the total body fat content and may be a familial and/or genetic trait in the offspring.

Forecasting in foodservice: model development, testing, and evaluation.

This study was designed to develop, test, and evaluate mathematical models appropriate for forecasting menu-item production demand in foodservice. Data were collected from residence and dining hall foodservices at Ohio State University. Objectives of the study were to collect, code, and analyze the data; develop and test models using actual operation data; and compare forecasting results with current methods in use. Customer count was forecast using deseasonalized simple exponential smoothing. Menu-item demand was forecast by multiplying the count forecast by a predicted preference statistic. Forecasting models were evaluated using mean squared error, mean absolute deviation, and mean absolute percentage error techniques. All models were more accurate than current methods. A broad spectrum of forecasting techniques could be used by foodservice managers with access to a personal computer and spread-sheet and database-management software. The findings indicate that mathematical forecasting techniques may be effective in foodservice operations to control costs, increase productivity, and maximize profits.