"Feeling Anxious about Catching COVID": Facilitators and Barriers of Sleep Health among Young Adults with Type 1 Diabetes

Cognitive Behavioral Sleep Self-Management Intervention for Young Adults With Type 1 Diabetes (NCT04975230)

The purpose of this study was to explore perceptions of the first dose of a cognitive behavioral sleep self-management intervention (CB-sleep) among young adults aged 18 to 25 years with type 1 diabetes (T1D). We used a qualitative descriptive approach to conduct in-depth semi-structured focused interviews with a purposive sample of 16 young adults with T1D, transitioning from adolescence to early adulthood. Interviews were audio-recorded, transcribed verbatim, and analyzed using qualitative content analysis. Participants described their sleep knowledge (previous, new, and additional), sleep health goals, along with barriers and facilitators of the CB-sleep intervention. Based on these results, we suggest CB-sleep is a useful modality with the potential to support sleep self-management in young adults with T1D during this complex life transition. Furthermore, CB-sleep could be incorporated into an existing diabetes self-management education and support program after pilot testing and determining efficacy to improve sleep and glycemic health.

A Self-Compassion Chatbot to Improve the Wellbeing of Adolescents with Type 1 Diabetes During the COVID-19 Pandemic: What do Adolescents and their Healthcare Professionals Want?

BACKGROUND

Prior to the coronavirus (COVID-19) pandemic, adolescents with type 1 diabetes (T1D) already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24/7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown.

OBJECTIVE

This qualitative study was designed to evaluate the acceptability and potential clinical utility of a novel self-compassion chatbot (called 'COMPASS') among adolescents aged 12 to 16 years with T1D and their diabetes healthcare professionals.

METHODS

Potential adolescent participants were recruited from previous participant lists, and online and in-clinic study flyers, whereas healthcare professionals were recruited from clinic emails and diabetes research special interest groups. Qualitative Zoom interviews exploring views on a newly developed self-compassion chatbot were conducted with 19 adolescents (in 4 focus groups), and 11 diabetes healthcare professionals (in 2 focus groups and 6 individual interviews), from March to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups.

RESULTS

Adolescents were broadly representation of the youth population living with T1D in Aotearoa (58% female, 68% Aotearoa New Zealand European, 11% Māori). Healthcare professionals represented a range of disciplines including Diabetes Nurse Specialists (n = 3), Health Psychologists (n = 3), Dieticians (n = 3), and Endocrinologists (n = 2). Findings offer early insight into what adolescents with T1D and their healthcare professionals see as shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13 of 19 adolescents), clinical utility (mentioned by all 11 healthcare professionals), and breadth and flexibility of tools (mentioned by 10 of 11 healthcare professionals).

CONCLUSIONS

Early data suggest that a self-compassion chatbot for adolescents with T1D is acceptable, relevant to common difficulties, and offers clinical utility during the COVID-19 pandemic. However, shared desired features amongst both groups, including problem-solving and integration with diabetes technology to support self-management, creating a safe peer-to-peer sense of community, and broadening the representation of different cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. Based on these findings, the COMPASS chatbot is currently being improved to be tested in a future feasibility study.

CLINICALTRIAL

Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) has had a rapid and sustained negative impact on sleep and mental health in the United States with disproportionate morbidity and mortality among socioeconomically deprived populations. We used multivariable and logistic regression to evaluate the associations among sleep duration, mental health, and socioeconomic deprivation (social deprivation index) in 14,676 Ohio residents from 1101 zip code tabulation areas from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. Higher socioeconomic deprivation was associated with shorter sleep and poorer mental health after adjusting for covariates (age, sex, race, education, income, and body mass index) in the multivariable linear regression models. Those in the highest socioeconomically deprived areas had 1.6 and 1.5 times higher odds of short sleep (duration < 6 h) and poor mental health (>14 poor mental health days), respectively, in the logistic regression models. Previous researchers have focused on limited socio-environmental factors such as crowding and income. We examined the role of a composite area based measure of socioeconomic deprivation in sleep duration and mental health during the first year of COVID-19. Our results suggest the need for a broader framework to understand the associations among socioeconomic deprivation, sleep duration, and mental health during a catastrophic event.