Adherence to multiple medications in the TODAY (Treatment Options for type 2 Diabetes in Adolescents and Youth) cohort: effect of additional medications on adherence to primary diabetes medication

Medication Bias During the Hospital-to-Family Transition Among Young and Middle-Aged Chinese Patients with Type 2 Diabetes: A Qualitative Study

Objective

This study aimed to examine the prevalence of medication non-adherence among young and middle-aged Chinese individuals diagnosed with type 2 diabetes, and to explore the underlying causes of such deviations.

Methods

The Medication Discrepancy Tool (MDT) was used to assess medication deviations in a cohort of 100 patients who had been discharged from the hospital. Furthermore, 15 subjects were interviewed to gain a better understanding of their medication non-adherence experiences.

Results

The rate of medication deviation in the studied cohort was 79.5%, with the most frequent deviation being a reduction in the types of drugs taken. The primary cause of this deviation was found to be patient-derived, with the most common reason being symptom improvement. Iatrogenic medication deviation was most often caused by incomplete or inaccurate medication education for medical staff at discharge, resulting in patients having to guess their own medication. Internal and extrinsic motivating factors were identified as the primary causes of medication deviation behavior.

Conclusion

This study has demonstrated that medication non-adherence is a major issue among young and middle-aged Chinese individuals diagnosed with type 2 diabetes. Therefore, it is essential for nurses to be aware of the importance of medication adherence management and working.

Mental health comorbidity and youth onset type 2 diabetes: A systematic review of the literature

BACKGROUND

Type 2 diabetes (T2D) is a burgeoning epidemic in children and adolescents. Adult T2D doubles the risk of depression and mental health comorbidity, makes it more difficult to make the lifestyle, medication adherence and health behavior changes needed to optimize outcomes. There is limited research on the impact of depression and depressive symptoms on youth T2D.

METHODS

A search of the literature in the last 10 years regarding youth with depression and T2D was conducted. Abstracts were screened by 2 randomly assigned authors for inclusion, and disagreement was resolved by a third author. Selected full-text articles were divided among all authors for review.

RESULTS

13 publications from 8 studies (N=2244, age 6-17) were included. 6 of 13 publications utilized Treatment Options for Type 2 Diabetes in Youth (TODAY) study data. While studies included evaluation of depressive symptoms, most did not formally assess for major depressive disorder (MDD) and excluded participants with a previous diagnosis of MDD. Depressive symptoms were common in this population and were associated with negative T2D outcomes.

CONCLUSIONS

While there is a growing body of adult literature highlighting the extensive relationship between T2D and mental health, there is a dearth of data in youth. Future studies are needed that include, 1.) youth with diagnosed MDD, 2.) treatment studies of both T2D and MDD, 3.) larger, more racially diverse samples of youth with T2D, and 4.) studies that evaluate the impact of social determinants of health, including mental health comorbidity on outcomes of T2D.

Mental health comorbidity is common in children with type 2 diabetes

OBJECTIVE

To describe the prevalence of mental health comorbidity in children with type 2 diabetes compared to a matched population without diabetes and children with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Population-based cohorts of 528 youth (7-18 years of age) with prevalent type 2 diabetes, 1519 matched children without diabetes and 778 youth with type 1 diabetes were identified from a clinical registry and linked to provincial health care records to assess the prevalence of mental health comorbidity using ICD-9CM, ICD-10CA and ATC codes.

RESULTS

The majority of children with type 2 diabetes were of First Nations heritage. Compared to their matched peers, children with type 2 diabetes where more likely to have a mood or anxiety disorder before and after diagnosis [RR 2.38 (1.63, 3.48) p < 0.001 and 1.70 (1.39, 2.08) p < 0.001 respectively], to attempt/complete suicide [RR 3.18 (1.30, 7.81) p = 0.012 and 2.18 (1.32, 3.60) p = 0.0002 respectively] and be prescribed an antipsychotic [RR 2.33 (1.23, 4.39) p = 0.009 and 1.76 (1.23, 2.52) p = 0.002 respectively]. Following adjustment for age and sex, children with type 2 diabetes, compared to children with type 1 diabetes where more likely to have a mood or anxiety disorder and be prescribed an antipsychotic after diagnosis [RR 1.43 (1.07, 1.91) p = 0.015; RR 2.41 (1.44, 4.06) p = 0.0009 respectively].

CONCLUSIONS

Children with type 2 diabetes have high rates of comorbid mental illness. Programs to provide care, support, and education must address the mental health comorbidity in the context of the demographic, socioeconomic, and psycho-cultural characteristics of the population.

ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents

Since the 2018 ISPAD guidelines on this topic, follow-up of large cohorts from around the globe have continued informing the current incidence and prevalence of co-morbidities and complications in young adults with youth-onset type 2 diabetes (T2D). This chapter focuses on the risk factors, diagnosis and presentation of youth-onset T2D, the initial and subsequent management of youth-onset T2D, and management of co-morbidities and complications. We include key updates from the observational phase of the multi-center Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) clinical trial, the SEARCH for Diabetes in Youth (SEARCH) study and new data from the Restoring Insulin Secretion (RISE) study, a head-to-head comparison of youth onset vs adult-onset T2D. We also include an expanded section on risk factors associated with T2D, algorithms and tables for treatment, management, and assessment of co-morbidities and complications, and sections on recently approved pharmacologic therapies for the treatment of youth-onset T2D, social determinants of health, and settings of care given COVID-19 pandemic.

Cardiovascular risk factor progression in adolescents and young adults with youth-onset type 2 diabetes

AIMS

Youth-onset type 2 diabetes (T2D) confers a high risk of early adverse cardiovascular morbidity. We describe the cumulative incidence and prevalence of cardiovascular risk factors over time and examine relationships with diabetes progression in young adults with youth-onset T2D from the Treatment Options for type 2 Diabetes in Adolescents and Youth (TODAY) study.

METHODS

Longitudinal data was used to evaluate the relationships between hypertension, LDL-C dyslipidemia, hypertriglyceridemia, and smoking with risk factors in 677 participants.

RESULTS

Baseline mean age was 14 ± 2 years and mean follow-up 10.2 ± 4.5 years. The 14-year cumulative incidence of hypertension, LDL-C dyslipidemia, and hypertriglyceridemia was 59%, 33%, and 37% respectively. Average prevalence of reported smoking was 23%. Male sex, non-Hispanic white race/ethnicity, obesity, poor glycemic control, lower insulin sensitivity, and reduced beta-cell function were significantly associated with an unfavorable risk profile. At end of follow-up, 54% had ≥2 cardiovascular risk factors in addition to T2D.

CONCLUSIONS

Cardiovascular risk factor incidence and prevalence was high over a decade of follow-up in young adults with youth-onset T2D. Glucose control and management of cardiovascular risk factors is critical in youth with T2D for prevention of cardiovascular morbidity and mortality.

Distance from the endocrinology clinic and diabetes control in a rural pediatric population

OBJECTIVE

We analyzed the impact of geographic distance from the clinic on adherence to recommended clinic visits and diabetes control among patients with type 1 diabetes (T1D) seen in a pediatric endocrinology clinic serving a rural region in eastern North Carolina.

METHODS

We retrospectively included patients with T1D age ≤20 years seen in our clinic during 2017. Outcomes were tracked until June 2018. Distance from the clinic was determined according to the zone improvement plan (ZIP) code of patient address. Visit adherence was defined based on the number of attended visits during the study period, aiming for 1 every 3 months. Glycated hemoglobin (HbA1c) was measured at the first and last visits during the review period.

RESULTS

The analysis included 368 patients, of whom 218 (59%) completed at least 1 visit every 3 months. The median HbA1c was 9.1 (interquartile range [IQR]: 8.0, 10.3) at the initial visit, and 9.3 (IQR: 8.0, 11.1) at the final visit. Median distance from the clinic was 56 km (IQR: 35, 86). On multivariable logistic regression, greater distance from the clinic was associated with lower odds of visit adherence (odds ratio per 10 km: 0.93; 95% confidence interval: 0.87, 0.99; p=0.030). Neither distance to the clinic nor clinic visit adherence were associated with HbA1c.

CONCLUSIONS

Patients living further away from the clinic were less likely to adhere to the recommended visit schedule, but distance was not correlated with HbA1c levels. Further work is needed to assist families living far from the clinic with adhering to recommended visits.

Depression in Youth-Onset Type 2 Diabetes

PURPOSE OF REVIEW

The current review summarizes extant knowledge regarding the prevalence of depression in youth-onset type 2 diabetes (T2D) and how depression might impact glycemic control through stress-related behavioral and physiological mechanisms. The current review also discusses depression intervention studies in adult-onset T2D, as there are no such studies in youth-onset T2D, and provides recommendations for clinical research.

RECENT FINDINGS

The prevalence of elevated depression symptoms in youth-onset T2D is approximately 20%. Some studies suggest depression may negatively impact glycemic control through inadequate medication adherence and disordered eating, but there is a dearth of studies investigating associations with depression and physical activity/sedentary time, sleep, and stress-related physiological mechanisms. In adult-onset T2D, evidence-based behavioral interventions tailored to address diabetes-related issues have shown positive effects for depression and glycemic control. Future research is needed to characterize the epidemiology of depression in youth-onset T2D and test interventions to improve depression, glycemic control, and health outcomes in this specific pediatric population.