Methods: This study used a qualitative design. Rice preference deeply explored using focus group discussion as a case-study. 85 informants with an average of ages 20 years old were divided into several groups. Several topics to discuss include the reasons to accept or reject brown and black rice, knowledge, attitude, motivation, and potency to substitute white rice.
Results: Price was the main barrier to substitute white rice to brown and black rice. The participants have known brown rice from parents, mass media, and friends. Most of them were still unfamiliar with black rice. Culture also affected the preferences of the participants. To motivate people to change their white rice diet, creative packaging and segmentation of the sale were recommended.
Conclusion: Substituting white to brown and black rice is still a challenge for young adults in Indonesia. Several barriers such as culture, accessibility, and affordability need to be considered. Further efforts are important to manage a program to increase brown and black rice consumption.
OBJECTIVE: This study analyses the effect of estimating EGP for ICU patients with very low SI (severe insulin resistance) and its impact on identified, model-based insulin sensitivity identification, modeling accuracy, and model-based glycemic clinical control.
METHODS: Using clinical data from 717 STAR patients in 3 independent cohorts (Hungary, New Zealand, and Malaysia), insulin sensitivity, time of insulin resistance, and EGP values are analyzed. A method is presented to estimate EGP in the presence of non-physiologically low SI. Performance is assessed via model accuracy.
RESULTS: Results show 22%-62% of patients experience 1+ episodes of severe insulin resistance, representing 0.87%-9.00% of hours. Episodes primarily occur in the first 24 h, matching clinical expectations. The Malaysian cohort is most affected. In this subset of hours, constant model-based EGP values can bias identified SI and increase blood glucose (BG) fitting error. Using the EGP estimation method presented in these constrained hours significantly reduced BG fitting errors.
CONCLUSIONS: Patients early in ICU stay may have significantly increased EGP. Increasing modeled EGP in model-based glycemic control can improve control accuracy in these hours. The results provide new insight into the frequency and level of significantly increased EGP in critical illness.