RESUMEN
Background: Many Americans have adopted popular diet patterns for general health improvement that restrict specific foods, macronutrients, or eating time. However, there is limited evidence to characterize the quality of these diet patterns. Objectives: This study 1) evaluated the quality of popular diet patterns in the United States and 2) modeled the effect of targeted food substitutions on diet quality. Methods: Dietary data from 34,411 adults ≥20 y old were acquired from the NHANES, 2005-2018. Dietary intake was assessed using the National Cancer Institute's usual intake methodology, and the Healthy Eating Index-2015 was used to evaluate diet quality. A diet model was used to evaluate the effect of targeted food substitutions on diet quality. Results: A pescatarian diet pattern had the highest diet quality (65.2; 95% CI: 64.0, 66.4), followed by vegetarian (63.0; 95% CI: 62.0, 64.0), low-grain (62.0; 95% CI: 61.6, 62.4), restricted-carbohydrate (56.9; 95% CI: 56.6, 57.3), time-restricted (55.2; 95% CI: 54.8, 55.5), and high-protein (51.8; 95% CI: 51.0, 62.7) diet patterns. Modeled replacement of ≤3 daily servings of foods highest in added sugar, sodium, saturated fat, and refined grains with alternative foods led to an increase in diet quality and a decrease in energy intake for most diet patterns. Conclusions: Low diet quality was observed for all popular diet patterns evaluated in this study. Modeled dietary shifts that align with recommendations to choose foods lower in added sugar, sodium, saturated fat, and refined grains led to modest improvements in diet quality and larger reductions of energy intake. Greater efforts are needed to encourage the adoption of dietary patterns that emphasize consumption of a variety of high-quality food groups.
RESUMEN
We conducted a retrospective study of a telemedicine clinic for paediatric patients with poorly controlled type 1 diabetes. Thirty-one patients (mean age 12 years) were enrolled into the clinic. After an initial visit, a group messaging system was provided to allow communication with the diabetic team which consisted of a diabetic provider, diabetic educator, insulin pump trainer and dietician. Patients and parents were encouraged to make all contacts by electronic means. For urgent matters, direct paging access was provided to the diabetic team. Adjustments in insulin dosing were accomplished via automated web-based communication or email between patient and provider. Compared to baseline, the HbA1c levels were significantly lower at 3 months (9.1% vs. 11.1%, P < 0.05) and 6.5 months (9.5% vs. 11.1%, P < 0.05). There were no significant differences in HbA1c levels for different age categories, insulin delivery methods or number of telemedicine encounters. The study showed that while telemedicine was effective in lowering HbA1c levels, it did not achieve optimum control.
