Association Between Food Insecurity and Inability to Obtain Provider-Recommended Medications, Multidisciplinary Services, and Technology in Youth and Young Adults With Diabetes: A Cross-Sectional Study.

Objective: We assessed if food insecurity (FI) is associated with not obtaining recommended diabetes medications, technology, and multidisciplinary services, and explored the most common reasons for not obtaining recommended treatments in youth and young adults (YYA) with diabetes.

Methods: In this cross-sectional study, among 911 YYA with type 1 diabetes (T1D) and 144 with type 2 diabetes (T2D) from the SEARCH Food Security Cohort Study Follow-up 1 (2018-2021), FI (≥ 3 items affirmed from the 18-item Household Food Security Survey module), and inability to obtain recommended treatments were self-reported.

Results: Almost 30% of YYA with T1D and FI and 20% of YYA with T2D and FI did not obtain 1 or more recommended treatments.

Reassessing the Burden of Food Insecurity in Youth and Young Adults With Youth-onset Diabetes: The Importance of Marginal Food Security.

Introduction: Whereas marginal food insecurity has been recognized as important in Canadian food security policy, the category of marginal food security (MFS) is often ignored in US food security research.

Methods: Prevalence of FI was estimated according to the conventional and an alternate classification of MFS with food insecurity among 938 youth and young adults (YYA) with youth-onset type 1 diabetes (T1D) and 156 with youth-onset of type 2 diabetes (T2D) from the SEARCH Food Security Cohort Study (2018-2021). Multivariable regression was used to estimate the association of MFS and conventionally defined food insecurity (FI) ascertained with diabetes-related outcomes, including acute diabetes complications, health care utilization, and diabetes self-management among YYA with T1D.

Similar changes in diet quality indices, but not nutrients, among African American participants randomized to follow one of the three dietary patterns of the US Dietary Guidelines: A secondary analysis.

The goal of this study was to examine the relationship between diet quality, nutrients, and health outcomes among participants in the Dietary Guidelines: 3 Diets study (3-group randomized 12-week intervention; African American; Southeastern virtual teaching kitchen). Participants (n = 63; ages 18-65 y, BMI 25-49.9 kg/m) were randomized to the Healthy U.

Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.

Aim: To develop an automated computable phenotype (CP) algorithm for identifying diabetes cases in children and adolescents using electronic health records (EHRs) from the UF Health System.

Materials And Methods: The CP algorithm was iteratively derived based on structured data from EHRs (UF Health System 2012-2020). We randomly selected 536 presumed cases among individuals aged <18 years who had (1) glycated haemoglobin levels ≥ 6.