Buddy Study: Partners for better health in adolescents with type 2 diabetes

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.

Impact of Diabetes Self-Management Education/Support on Self-Reported Quality of Life in Youth With Type 1 or Type 2 Diabetes

PURPOSE

The persistent requirement of self-management for diabetes impacts quality of life (QoL), yet the literature for impact of diabetes self-management education and support (DSMES) on QoL in youth has not been synthesized and reported. The purpose of this review was to systematically identify and describe the state of the science exploring the impact of DSMES on self-reported QoL in youth with type 1 diabetes (T1DM) or type 2 diabetes (T2DM).

METHODS

A modified Cochrane review was conducted. Retained studies were published in the English language between January 1, 2007, and March 31, 2020. Included studies specified that the intervention had diabetes education addressing at least 1 or more of The Association of Diabetes Care & Education Specialists' ADCES7 Self-Care Behaviors^TM (ADCES7™) and used an established self-reported QoL measure. Retained studies were assessed for risk of bias.

RESULTS

Eleven studies reported in 12 articles were retained. The interventions were primarily delivered to youth with T1DM or T2DM and included caregivers/families in some studies. The ADCES7™ were addressed across the retained studies. Five of the 11 studies assessed QoL as the primary outcome and 6 studies as a secondary outcome.

CONCLUSION

To enhance the QoL outcomes and to provide insight into how to positively impact self-perceptions of QoL, ongoing generic and diabetes-specific QoL assessments are warranted for youth with T1DM or T2DM. Further research is needed in structured DSMES programs to help reduce variability in research designs, methods, measures, and outcomes to generate evidence for best practices that can be translated and disseminated into real-world settings.

Developing and Evaluating Behaviour Change Interventions for People with Younger-Onset Type 2 Diabetes: Lessons and Recommendations from Existing Programmes

People with younger-onset type 2 diabetes (YOT2D, diagnosis before 40 years of age) are at higher risk of morbidity and premature mortality compared with their similar-age type 1 diabetes and later-onset type 2 diabetes peers. Despite recommendations for targeted, behavioural, and psychosocial approaches to optimising health outcomes, there are few such interventions for this group. Furthermore, evaluations of health behaviour change interventions targeting this priority population have proven challenging to complete. Despite this, there is little guidance for future behavioural programme developers. The aims of this paper are to synthesise lessons learned and recommendations from published evaluations of YOT2D-focused health behaviour change interventions, and illustrate challenges and solutions using case studies from our own experience. A rapid review of the literature identified 11 trials of behavioural interventions for YOT2D (5 randomised controlled trials, 6 pre/post studies). We sourced related needs assessment and development papers to describe the life course of each programme. We identified two development and two evaluation-related themes impacting successful trial execution. Development recommendations include ensuring appropriate adaptation of existing interventions to the unique challenges and characteristics of the target group, use of theory or theoretical frameworks throughout, and involvement of the priority population and key stakeholders from inception. Evaluation recommendations include planning for meaningful evaluation and development of age-appropriate Core Outcomes Sets. Future programme developers would benefit from closer attention to intervention development guidelines and a focus on supporting those with YOT2D to achieve behaviour change and diabetes self-management goals, ahead of change to biomedical outcomes.

Novel Digital Architecture of a "Low Carb Program" for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes

Globally, the burden of noncommunicable diseases such as type 2 diabetes is crippling health care systems. Type 2 diabetes, a disease linked with obesity, affects 1 in every 30 people today and is expected to affect 1 in 10 people by 2030. Current provisions are struggling to manage the trajectory of type 2 diabetes prevalence. Offline, face-to-face education for patients with type 2 diabetes has shown to lack long-term impact or the capacity for widespread democratized adoption. Digitally delivered interventions have been developed for patients with type 2 diabetes, and the evidence shows that some interventions provide the capacity to support hyperpersonalization and real-time continuous support to patients, which can result in significant engagement and health outcomes. However, digital health app engagement is notoriously difficult to achieve. This paper reviews the digital behavior change architecture of the Low Carb Program and the application of health behavioral theory underpinning its development and use in scaling novel methods of engaging the population with type 2 diabetes and supporting long-term behavior change.

Design and patient characteristics of the randomized controlled trial TExT-MED + FANS A test of mHealth augmented social support added to a patient-focused text-messaging intervention for emergency department patients with poorly controlled diabetes

Although diabetes is a nationwide epidemic, US Latinos are a particularly vulnerable population. Culturally appropriate interventions can combat this disparity, especially those that increase social support. However, these interventions face significant cost and time barriers, which mHealth (mobile health) may overcome. This trial examines the benefit of adding social support to an existing text-message based, patient-focused mHealth intervention for emergency department patients with poorly controlled diabetes. Family members and friends of patients were randomized to mHealth augmented social support training (daily text-messages that synchronize with the patient messages) or a pamphlet based training (the same content mailed to their house.) We hypothesize that patients who received mHealth augmented social support will have a larger improvement in diabetes management (glycosylated hemoglobin or A1C) than those receiving standard support at six-months, and that improvement will be sustained at twelve-months. Secondary patient outcomes are clinical (weight, blood pressure), behavioral (medication adherence, self-care activities) and psychosocial (general and diabetes-specific social support, self-efficacy, diabetes-related distress, depression, fatalism and quality of life). We screened 2004 patients and enrolled 166 patient/supporter dyads. 70% of patients are Spanish-speaking, 51% female, with a mean A1C of 10.8. We employed innovative measures to remotely enroll family members and support a bilingual population, which will assist other investigators in design of similar trials. The findings of our trial will have real-world applicability for clinicians, health system administrators, health educators and mHealth developers who aim to improve the health of this vulnerable population.

Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study

Background

Type 2 diabetes mellitus has serious health consequences, including blindness, amputation, stroke, and dementia, and its annual global costs are more than US $800 billion. Although typically considered a progressive, nonreversible disease, some researchers and clinicians now argue that type 2 diabetes may be effectively treated with a carbohydrate-reduced diet.

Objective

Our objective was to evaluate the 1-year outcomes of the digitally delivered Low-Carb Program, a nutritionally focused, 10-session educational intervention for glycemic control and weight loss for adults with type 2 diabetes. The program reinforces carbohydrate restriction using behavioral techniques including goal setting, peer support, and behavioral self-monitoring.

Methods

The study used a quasi-experimental research design comprised of an open-label, single-arm, pre-post intervention using a sample of convenience. From adults with type 2 diabetes who had joined the program and had a complete baseline dataset, we randomly selected participants to be followed for 1 year (N=1000; mean age 56.1, SD 15.7 years; 59.30% (593/1000) women; mean glycated hemoglobin A_1c (HbA_1c) 7.8%, SD 2.1%; mean body weight 89.6 kg, SD 23.1 kg; taking mean 1.2, SD 1.01 diabetes medications).

Results

Of the 1000 study participants, 708 (70.80%) individuals reported outcomes at 12 months, 672 (67.20%) completed at least 40% of the lessons, and 528 (52.80%) completed all lessons of the program. Of the 743 participants with a starting HbA_1c at or above the type 2 diabetes threshold of 6.5%, 195 (26.2%) reduced their HbA_1c to below the threshold while taking no glucose-lowering medications or just metformin. Of the participants who were taking at least one hypoglycemic medication at baseline, 40.4% (289/714) reduced one or more of these medications. Almost half (46.40%, 464/1000) of all participants lost at least 5% of their body weight. Overall, glycemic control and weight loss improved, especially for participants who completed all 10 modules of the program. For example, participants with elevated baseline HbA_1c (≥7.5%) who engaged with all 10 weekly modules reduced their HbA_1c from 9.2% to 7.1% (P<.001) and lost an average of 6.9% of their body weight (P<.001).

Conclusions

Especially for participants who fully engage, an online program that teaches a carbohydrate-reduced diet to adults with type 2 diabetes can be effective for glycemic control, weight loss, and reducing hypoglycemic medications.

Using Mobile Health to Improve Social Support for Low-Income Latino Patients with Diabetes: A Mixed-Methods Analysis of the Feasibility Trial of TExT-MED + FANS

BACKGROUND

Social support interventions can improve diabetes self-care, particularly for Latinos, but are time and resource intensive. Mobile health may overcome these barriers by engaging and training supporters remotely.

METHODS

We conducted a randomized controlled feasibility trial of emergency department patients with diabetes to determine the feasibility of enrolling patients and supporters, acceptability of the intervention, and preliminary efficacy results to power a larger trial. All patients received an existing mHealth curriculum (TExT-MED). After identifying a supporter, patients were randomized to intervention: supporters receiving FANS (family and friends network support), a text message support curriculum synchronized to patient messages, or control: supporters receiving a mailed pamphlet of the same information. Participants followed up at 3 months. FANS intervention participants came to postintervention interviews as part of a qualitative analysis.

RESULTS

We enrolled 44 patients (22 per arm) and followed up 36 at 3 months. Participants were positive about the program. FANS intervention improved HbA1c (intervention mean decreased from 10.4% to 9.0% vs. from 10.1% to 9.5%, delta -0.8%, confidence interval [CI] -0.4 to 2, P = 0.30), self-monitoring of glucose (intervention increased 1.6 days/week vs. control decreased 2 days/week, delta 2.3 days/week, CI 4-0.6, P = 0.02), and physical activity (mean Godin leisure time activity score improved 16.1 vs. decreased 9.6 for control, delta 25.7, CI 49.2-2.3, P = 0.10). In qualitative analysis, patients reported improved motivation, behaviors, and relationships. Supporters reported making healthier decisions for themselves.

CONCLUSIONS

mHealth is a feasible, acceptable, and promising avenue to improve social support and diabetes outcomes.

Energy sensing pathways: Bridging type 2 diabetes and colorectal cancer?

The recently rapid increase of obesity and type 2 diabetes mellitus has caused great burden to our society. A positive association between type 2 diabetes and risk of colorectal cancer has been reported by increasing epidemiological studies. The molecular mechanism of this connection remains elusive. However, type 2 diabetes may result in abnormal carbohydrate and lipid metabolism, high levels of circulating insulin, insulin growth factor-1, and adipocytokines, as well as chronic inflammation. All these factors could lead to the alteration of energy sensing pathways such as the AMP activated kinase (PRKA), mechanistic (mammalian) target of rapamycin (mTOR), SIRT1, and autophagy signaling pathways. The resulted impaired SIRT1 and autophagy signaling pathway could increase the risk of gene mutation and cancer genesis by decreasing genetic stability and DNA mismatch repair. The dysregulated mTOR and PRKA pathway could remodel cell metabolism during the growth and metastasis of cancer in order for the cancer cell to survive the unfavorable microenvironment such as hypoxia and low blood supply. Moreover, these pathways may be coupling metabolic and epigenetic alterations that are central to oncogenic transformation. Further researches including molecular pathologic epidemiologic studies are warranted to better address the precise links between these two important diseases.

Integration of molecular pathology, epidemiology and social science for global precision medicine

The precision medicine concept and the unique disease principle imply that each patient has unique pathogenic processes resulting from heterogeneous cellular genetic and epigenetic alterations and interactions between cells (including immune cells) and exposures, including dietary, environmental, microbial and lifestyle factors. As a core method field in population health science and medicine, epidemiology is a growing scientific discipline that can analyze disease risk factors and develop statistical methodologies to maximize utilization of big data on populations and disease pathology. The evolving transdisciplinary field of molecular pathological epidemiology (MPE) can advance biomedical and health research by linking exposures to molecular pathologic signatures, enhancing causal inference and identifying potential biomarkers for clinical impact. The MPE approach can be applied to any diseases, although it has been most commonly used in neoplastic diseases (including breast, lung and colorectal cancers) because of availability of various molecular diagnostic tests. However, use of state-of-the-art genomic, epigenomic and other omic technologies and expensive drugs in modern healthcare systems increases racial, ethnic and socioeconomic disparities. To address this, we propose to integrate molecular pathology, epidemiology and social science. Social epidemiology integrates the latter two fields. The integrative social MPE model can embrace sociology, economics and precision medicine, address global health disparities and inequalities, and elucidate biological effects of social environments, behaviors and networks. We foresee advancements of molecular medicine, including molecular diagnostics, biomedical imaging and targeted therapeutics, which should benefit individuals in a global population, by means of an interdisciplinary approach of integrative MPE and social health science.