BackgroundDiabetes can be efficiently prevented by life style modification and medical therapy. So, identification for high risk subjects for incident type 2 diabetes is important. The aim of this study is to identify the best β-cell function index to identify high risk subjects in non-diabetic Koreans.MethodsThis is a retrospective longitudinal study. Total 140 non-diabetic subjects who underwent standard 2-hour 75 g oral glucose tolerance test from January 2007 to February 2007 at Kangbuk Samsung Hospital and followed up for more than 1 year were analyzed (mean follow-up, 54.9±16.4 months). The subjects were consist of subjects with normal glucose tolerance (n=44) and subjects with prediabetes (n=97) who were 20 years of age or older. Samples for insulin and C-peptide levels were obtained at 0 and 30 minutes at baseline.ResultsThirty subjects out of 140 subjects (21.4%) developed type 2 diabetes. When insulin-based index and C-peptide-based index are compared between progressor and non-progressor to diabetes, all C-peptide-based indices were statistically different between two groups, but only insulinogenic index and disposition index among insulin-based index were statistically different. C-peptide-based index had higher value of area under receiver operating characteristic curve (AROC) value than that of insulin-based index. "C-peptidogenic" index had highest AROC value among indices (AROC, 0.850; 95% confidence interval, 0.761 to 0.915). C-peptidogenic index had significantly higher AROC than insulinogenic index (0.850 vs. 0.731 respectively; P=0.014).ConclusionC-peptide-based index was more closely related to incident type 2 diabetes in non-diabetic subjects than insulin-based index.

The focus of this study is on how online brand communities are utilised throughout the new product development (NPD) process by promoting communications between firms and communities. We investigate leading MP3 player manufacturers and mobile phone handset manufacturers in Korea. The results of our case studies show that the roles of online brand communities vary along the NPD stages — from trendsetters (lead users) to innovation facilitators (users as innovators), and information disseminators (early adopters). These communities can help firms gain insight into customer needs, desirable characteristics of new products and trends for future development. Furthermore, various inputs from online brand communities can stimulate firms' internal communication among several departments involved in the NPD. Finally, this study suggests the extended research model and generates hypotheses on the roles and impacts of online brand communities.

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