643 Rest Activity Rhythms, Symptom Burden, and Glucose Variability in Young Adults with Type 1 Diabetes

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A252-A252
Author(s):  
Stephanie Griggs ◽  
Kingman Strohl ◽  
Seunghee Margevicius ◽  
Margaret Grey ◽  
Ronald Hickman
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Daytime Sleepiness ◽  
Activity Rhythm ◽  
Symptom Burden ◽  
Glucose Variability ◽  
Diabetes Distress ◽  
Distress Scale ◽  
Rest Activity

Abstract Introduction Circadian alignment is an important element in individual health, and one behavioral marker, rest-activity rhythm (RAR), may influence disease management in young adults with type 1 diabetes (T1D). Thus, in this descriptive study, we examined whether circadian rhythm is correlated with symptoms (emotional and diabetes distress, and diabetes physical symptom burden) and glucose variability in young adults with T1D. Methods Using convenience sampling, young adults with T1D underwent concurrent actigraphy and continuous glucose monitoring for 6–14 days to generate the following RAR parameters: (MESOR, amplitude, acrophase, and circadian quotient) and glucose variability indices (coefficient of variation and time in range). Participants completed the 8-item Epworth Sleepiness Scale, 8-item PROMIS v1.0 Emotional Distress Scale, 17-item Diabetes Distress Scale, and 34-item Diabetes Symptom Checklist-Revised. Cosinor analysis was used to compute the RAR parameters and linear regression modeling procedures were performed to determine the associations among the study variables. Results The sample included 46 young adults (mean age 22.3±3.2; 32.6% male; 84.8% non-Hispanic White, A1C mean 7.2±1.1%, BMI 27.0±4.4 kg/m2). A more robust rhythm (higher amplitude) was associated with a lower diabetes symptom burden (ß=-0.31, p=.035). A higher circadian quotient was associated with less daytime sleepiness (ß=-0.41, p=.004). All associations between the RAR parameters and symptom measures remained statistically significant (p<.05) after adjustment for sex and BMI. The associations between the RAR parameters and glucose variability indices were not significant. Conclusion RAR was associated with daytime sleepiness, as well as symptom burden in young adults with T1D even after consideration of sex and BMI. Future investigators should clarify the causality of these associations and the potential for improving the strength and stability of RAR in the mitigation of daytime sleepiness and symptoms. Support (if any) This research is or was partially supported by grants from the American Academy of Sleep Medicine (220-BS-19), National Institute of Nursing Research (K99NR018886 & T32NR0008346), Sigma Theta Tau International, and Dexcom provided continuous glucose monitors (G4) free of charge for participants who did not have a device.

Home Telemedicine (CoYoT1 Clinic): A Novel Approach to Improve Psychosocial Outcomes in Young Adults With Diabetes

2019 ◽  
Vol 45 (4) ◽  
pp. 420-430 ◽  
Author(s):  
Marwan Bakhach ◽  
Mark W. Reid ◽  
Elizabeth A. Pyatak ◽  
Cari Berget ◽  
Cindy Cain ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Self Efficacy ◽  
Group Home ◽  
Depression Scale ◽  
Diabetes Distress ◽  
Control Group ◽  
Distress Scale ◽  
The Impact

Purpose To assess the impact of a home telemedicine clinic model (CoYoT1 Clinic) on psychosocial and behavioral outcomes designed for young adults (YAs) with type 1 diabetes (T1D). Methods YAs self-selected to participate in the CoYoT1 Clinic or serve as a usual care control. CoYoT1 Clinic visits consisted of an individual appointment with a provider and a group appointment with other YAs with T1D using home telemedicine. Psychosocial and behavioral functioning was assessed by 4 measures: Diabetes Distress Scale, Self-Efficacy for Diabetes Scale, Self-Management of Type 1 Diabetes in Adolescence Scale, and Center for Epidemiologic Studies Depression Scale. Results Forty-two patients participated in the CoYoT1 Clinic and 39 patients served as controls. CoYoT1 participants reported lower levels of distress ( P = .03), increased diabetes self-efficacy ( P = .01), and improved ability to communicate with others about diabetes ( P = .04) over the study period compared to controls. YA males in the control group reported increases in depressive symptoms ( P = .03) during the study period, but CoYoT1 participants showed no changes. Conclusion Group home telemedicine for YAs with T1D positively affects diabetes distress, self-efficacy, and diabetes-specific communication. These positive findings have the potential to also affect the YAs’ long-term diabetes outcomes. Further investigation of the model is needed.

Circadian characteristics of the rest-activity rhythm, executive function, and glucose fluctuations in young adults with type 1 diabetes

2021 ◽  
pp. 1-11
Author(s):  
Stephanie Griggs ◽  
Kingman P. Strohl ◽  
Margaret Grey ◽  
Eric Barbato ◽  
Seunghee Margevicius ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Executive Function ◽  
Activity Rhythm ◽  
Glucose Fluctuations ◽  
Rest Activity

Virtual Group Appointments Reduce Distress and Improve Care Management in Young Adults with Type 1 Diabetes

2021 ◽  
pp. 193229682110357
Author(s):  
Daniel I. Bisno ◽  
Mark W. Reid ◽  
Jennifer L. Fogel ◽  
Elizabeth A. Pyatak ◽  
Shideh Majidi ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Controlled Trial ◽  
Self Management ◽  
Diabetes Distress ◽  
Care Providers ◽  
Virtual Group ◽  
Distress Scale ◽  
The Impact

Purpose: The purpose of this study was to analyze the impact of virtual group appointments (VGA) on self-reported health-related outcomes and care activities for young adults (YA) with type 1 diabetes (T1D). Methods: Fifty-three YA (ages 18-25 years) with T1D participated in a randomized controlled trial (RCT) of the Colorado Young Adults with T1D (CoYoT1) Clinic intervention, encompassing telehealth (TH) with or without VGA. Both new patients ( n = 32) and those who participated in a pilot phase ( n = 26) were randomized to CoYoT1 Clinic (TH+VGA; n = 23) or TH-only ( n = 35) and followed for 1 year. YA completed the Diabetes Distress Scale (DDS), Diabetes Strengths and Resilience (D-STAR), Self-Efficacy in Diabetes (SED), Self-Management of Type 1 Diabetes in Adolescence (SMOD-A), Center for Epidemiologic Studies Depression (CES-D), and EuroQol (EQ-5D) scales at baseline and study end. Results: YA were 67% female, 84% white, 10% Latinx, and the mean age was 20.4 years old. At study end, participants in CoYoT1 Clinic reported significantly reduced diabetes distress compared to those in TH-only, who reported increased levels [Effect Size (ES) = −0.40, P = .02]. Specifically, CoYoT1 Clinic participants reported relative reductions in Physician (ES = −2.87, P = .02) and Regimen-related distress (ES = −0.35, P = .01). In addition, participants in CoYoT1 Clinic reported improved self-management of T1D-related problem solving (ES = 0.47, P = .051) and communication with care providers (ES = 0.39, P = .07). Conclusions: Virtual group attendance in CoYoT1 Clinic was associated with significant improvements in diabetes-related distress. Long-term exposure to VGA should be investigated in YA with T1D and other pediatric chronic conditions.

Internal structure and psychometric properties of Diabetes Distress Scale for Type 1 Diabetes

Psychiatriki ◽  
2020 ◽  
Vol 31 (4) ◽  
pp. 302-309
Author(s):  
F. Griva ◽  
P. Thomakos ◽  
O. Kepaptsoglou ◽  
M. Ginieri-Coccossis ◽  
Α. Mitrakou ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Psychometric Properties ◽  
Internal Structure ◽  
Diabetes Distress ◽  
Distress Scale ◽  
Diabetes Distress Scale

scholarly journals Feasibility study of real-time online text-based CBT to support self-management for people with type 1 diabetes: the Diabetes On-line Therapy (DOT) Study

2021 ◽  
Vol 9 (1) ◽  
pp. e001934
Author(s):  
Anne M Doherty ◽  
Anne Herrmann-Werner ◽  
Arann Rowe ◽  
Jennie Brown ◽  
Scott Weich ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Real Time ◽  
Instant Messaging ◽  
Controlled Trial ◽  
Self Management ◽  
Diabetes Distress ◽  
The Mean ◽  
Distress Scale

IntroductionThis study examines the feasibility of conducting diabetes-focused cognitive–behavioral therapy (CBT) via a secure online real-time instant messaging system intervention to support self-management and improve glycemic control in people with type 1 diabetes.Research design and methodsWe used a pre–post uncontrolled intervention design over 12 months. We recruited adults with type 1 diabetes and suboptimal glycemic control (HbA1c ≥69 mmol/mol (DCCT 8.5%) for 12 months) across four hospitals in London. The intervention comprised 10 sessions of diabetes-focused CBT delivered by diabetes specialist nurses. The primary outcomes were number of eligible patients, rates of recruitment and follow-up, number of sessions completed and SD of the main outcome measure, change in HbA1c over 12 months. We measured the feasibility of collecting secondary outcomes, that is, depression measured using Patient Health Questionnaire-9 (PHQ-9), anxiety measured Generalised Anxiety Disorder (GAD) and the Diabetes Distress Scale (DDS).ResultsWe screened 3177 patients, of whom 638 were potentially eligible, from whom 71 (11.1%) were recruited. The mean age was 28.1 (13.1) years, and the mean HbA1c was 84.6 mmol/mol (17.8), DCCT 9.9%. Forty-six (65%) patients had at least 1 session and 29 (41%) completed all sessions. There was a significant reduction in HbA1c over 12 months (mean difference −6.2 (2.3) mmol/mol, DCCT 0.6%, p=0.038). The change scores in PHQ-9, GAD and DDS also improved.ConclusionsIt would be feasible to conduct a full-scale text-based synchronized real-time diabetes-focused CBT as an efficacy randomized controlled trial.

scholarly journals Racial-Ethnic Inequity in Young Adults With Type 1 Diabetes

2020 ◽  
Vol 105 (8) ◽  
pp. e2960-e2969 ◽  
Author(s):  
Shivani Agarwal ◽  
Lauren G Kanapka ◽  
Jennifer K Raymond ◽  
Ashby Walker ◽  
Andrea Gerard-Gonzalez ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Technology Use ◽  
Self Management ◽  
Diabetes Distress ◽  
Diabetes Technology ◽  
Racial Ethnic ◽  
Hispanic White ◽  
Hba1c Levels

Abstract Context Minority young adults (YA) currently represent the largest growing population with type 1 diabetes (T1D) and experience very poor outcomes. Modifiable drivers of disparities need to be identified, but are not well-studied. Objective To describe racial-ethnic disparities among YA with T1D and identify drivers of glycemic disparity other than socioeconomic status (SES). Design Cross-sectional multicenter collection of patient and chart-reported variables, including SES, social determinants of health, and diabetes-specific factors, with comparison between non-Hispanic White, non-Hispanic Black, and Hispanic YA and multilevel modeling to identify variables that account for glycemic disparity apart from SES. Setting Six diabetes centers across the United States. Participants A total of 300 YA with T1D (18-28 years: 33% non-Hispanic White, 32% non-Hispanic Black, and 34% Hispanic). Main Outcome Racial-ethnic disparity in HbA1c levels. Results Non-Hispanic Black and Hispanic YA had lower SES, higher HbA1c levels, and much lower diabetes technology use than non-Hispanic White YA (P < 0.001). Non-Hispanic Black YA differed from Hispanic, reporting higher diabetes distress and lower self-management (P < 0.001). After accounting for SES, differences in HbA1c levels disappeared between non-Hispanic White and Hispanic YA, whereas they remained for non-Hispanic Black YA (+ 2.26% [24 mmol/mol], P < 0.001). Diabetes technology use, diabetes distress, and disease self-management accounted for a significant portion of the remaining non-Hispanic Black–White glycemic disparity. Conclusion This study demonstrated large racial-ethnic inequity in YA with T1D, especially among non-Hispanic Black participants. Our findings reveal key opportunities for clinicians to potentially mitigate glycemic disparity in minority YA by promoting diabetes technology use, connecting with social programs, and tailoring support for disease self-management and diabetes distress to account for social contextual factors.

Diabetes Distress Scale for Type 1 Diabetes--Greek Version

2020 ◽  
Author(s):  
Fay Griva ◽  
P. Thomakos ◽  
O. Kepaptsoglou ◽  
M. Ginieri-Coccossis ◽  
A. Mitrakou ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Diabetes Distress ◽  
Greek Version ◽  
Distress Scale ◽  
Diabetes Distress Scale
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