Type 1 Diabetes and Sleep

Sleep duration and association with cardiometabolic health in adolescents and adults with type 1 diabetes: Results from the BCQR-T1D study

AIM

Type 1 diabetes (T1D) increases the risk of morbidity and mortality from cardiovascular disease, and insufficient sleep is prevalent. Emerging evidence suggests a link between sleep and cardiometabolic health, but this has not been examined across the lifespan in individuals with T1D. We aimed to examine associations between sleep and cardiometabolic health in adolescents and adults with T1D in a secondary analysis of data from a 4-week double-blind, random-order, placebo-controlled crossover trial of bromocriptine quick release (BCQR) therapy with a 4-week washout in between conditions.

MATERIALS AND METHODS

Forty-two adults (19-60 years) and 42 adolescents (12-18 years) with T1D >9 months completed 1 week of home monitoring with wrist-worn actigraphy to estimate sleep duration and continuous glucose monitoring, anthropometrics, arterial stiffness, magnetic resonance imaging (adolescents only), and fasting laboratory testing at each treatment phase.

RESULTS

Sixty-two per cent of adolescents and 74% of adults obtained <7 h of sleep per night at baseline. After adjustment for age, sex and diabetes duration, baseline sleep <7 h per night was associated with a higher body mass index, a higher waist circumference, a higher systolic blood pressure, worse arterial stiffness and a lower estimated insulin sensitivity (all p < .05). When examined by age group, associations between sleep duration and cardiometabolic health outcomes remained significant, predominantly for adolescents. In adolescents only, wake time was significantly later (p = .027) and time in bed was significantly longer with BCQR versus placebo (p = .049).

CONCLUSIONS

Objectively measured sleep <7 h per night was prevalent in adolescents and adults with T1D and associated with poorer cardiometabolic health markers. Small changes in sleep were seen following BCQR treatment in adolescents only. Sleep may be an important and novel target for improving cardiometabolic health in individuals with T1D.

Eating Disorders and Sleep Disturbance as Determinants of Metabolic Control in Adolescents with Type 1 Diabetes

This cross-sectional study examined the effect of sleep disturbance and eating disorders on metabolic control in adolescents with Type 1 Diabetes. The study was conducted with adolescents with T1DM treated at a university hospital in Turkey between October 2023 and January 2024. The study sample consisted of 120 adolescents with T1DM between the ages of 10-18. Data were collected online using the Adolescent Information Form, Dutch Eating Behavior Questionnaire (DEBQ), and DSM-5 Sleep Disorder Scale (SDS). Mean, percentage, and regression analyses were used to analyze the data. Ethics committee, institutional permission and written permission from the adolescents with Type 1 Diabetes and their parents were obtained for the study. In the current study, sleep disturbance and eating disorders explained 38.5% and 40.2% of HbA1c, respectively, and were found to have a significant effect (respectively: F = 73.737, p ≤ .001; F = 19.353, p ≤ .001). This study provides evidence that eating disorders and sleep disturbance explain approximately half of HbA1c. The results of the study revealed that sleep disturbance and eating disorders were significant predictors of metabolic control in adolescents with type 1 diabetes.

Seasonal differences in physical activity, sedentary behaviour, and sleep patterns in people with type 1 diabetes in Kuwait

AIMS

The main aim of the current study was to measure physical activity, sedentary behaviors and sleep levels across the different seasons in people with type 1 diabetes in Kuwait.

METHODS

A prospective cross-sectional study was conducted from August 2021 to September 2022. Physical activity and sleep metrics were measured over a 7-day period with a wrist-worn accelerometer (GENEActiv). Overall physical activity was measured as a Euclidean Norm Minus One in milli gravitational units (mg). Accelerometer metrics were compared across the seasons and between the sex.

RESULTS

A total of 784 people with type 1 diabetes participated. Mean daily physical activity was 25.2 mg (SD = 7.3). Seasonal differences were seen in overall physical activity (p = 0.05), inactivity (p = 0.04), light activity (p = 0.001), the intensity gradient (p = 0.001) and sleep efficiency (p = 0.02). Poorer metrics were generally seen in Spring and Summer. Overall physical activity, moderate and vigorous physical activity, and inactivity were significantly higher in males compared to females (p ≤ 0.02). Females had a longer sleeping duration (p = 0.02), and higher sleep efficiency (p = 0.04) and light physical activity (p = 0.01). Overall physical activity and the intensity gradient were negatively associated with HbA1c (both p = 0.01).

CONCLUSIONS

Physical activity levels were generally low and sleep poor in people with type 1 diabetes in Kuwait and these varied by sex and season. The current data are useful to target and develop interventions to improve physical activity and glycemic control.

Sleep disturbances in children and adolescents with type 1 diabetes mellitus: Prevalence, and relationship with diabetes management

OBJECTIVE

A decline in sleep quality and regularity has been reported in patients with type 1 diabetes mellitus (T1D) in many studies. However, research on medical-based sleep disorders in patients with T1D is limited. Diagnosing sleep disorders is crucial, as it negatively impacts academic performance, cardiovascular health, and cognitive functions among children as well as essential skills for effective diabetes management. Our objective was to assess sleep disturbances in patients diagnosed with T1D and explore whether these patients experience significantly more sleep disturbances compared to their healthy peers.

METHODS

This study, designed as a cross-sectional case-control investigation, involved a cohort of 250 participants (144 T1D, 106 control cases) aged 6-15 years. The Sleep Disturbance Scale for Children (SDCS) scores of the T1D group were compared with those of the control group. Furthermore, the study explored the correlation between clinical/biochemical parameters and SDCS scores within the T1D group.

RESULTS

The mean age of individuals in the T1D group was 10.27 ± 3.25 years, while the control group had a comparable mean age of 10.48 ± 3.5 years (P = 0.303). Within the T1D group, the median duration of diabetes was 5 (1-15) years, and the median glycosylated hemoglobin A1c (HbA1c) level for the past one year was 8.4 %. Although there was no significant difference in total SDSC scores between the T1D and control groups, both groups exhibited average scores that remained close to the threshold indicative of sleep disturbances (>39). Notably, individuals with total SDSC scores surpassing 39 were identified at rates of 48.6 % in the T1D group and 47.6 % in the control group, respectively. Furthermore, disorders of arousal nightmares (DA) were more prevalent in T1D patients compared to their healthy peers (P = 0.049). Additionally, HbA1c showed a positive correlation with scores for disorders of excessive somnolence (DOES) and total scores (P < 0.001, R = 0.368; P = 0.003, R = 0.243).

CONCLUSION

Our study found that the prevalence of sleep disturbances among children and adolescents with T1D was not significantly higher than that observed in their healthy peers. Nevertheless, it is crucial to note that a notable portion, 48.6 % of T1D cases and 47.6 % of healthy cases, displayed sleep disturbances based on SDSC scores. To optimize diabetes management and proactively address potential challenges, incorporating routine screening for sleep disturbances in the monitoring of T1D patients can yield valuable benefits.

Associations between sleep characteristics and glycemic variability in youth with type 1 diabetes

OBJECTIVE

This study aimed to determine sleep characteristics and their associations with glycemic variability in youth with type 1 diabetes (T1D).

MATERIAL AND METHODS

This cross-sectional study conducted at two pediatric diabetes centers in Istanbul, Turkey, included 84 children with T1D (mean age 10.5 years). Sleep characteristics and glycemic variability were determined by actigraphy, DSM-5 Level 2-Sleep Disturbance Scale Short Form and continuous glucose monitoring. Circadian preference was evaluated by the Children's Chronotype Questionnaire. Sleep disturbances were assessed by the. The sleep quality was determined by actigraphy-derived sleep measures.

RESULTS

Eighty-eight percent of participants had insufficient age-appropriate total sleep time (TST) (<9 h for 6-13-year-olds and <8 h for 14-17-year-olds). Chronotype was classified as intermediate in 50%, evening in 45.2%, and morning in 4.8%. A higher chronotype score indicating a stronger eveningness preference was associated with more time spent in hypoglycemia (β = 0.433, p = 0.002). On nights when participants had lower sleep efficiency and longer sleep onset latency, they had significantly higher overnight glycemic variability (β = -0.343, p = 0.016, β = 0.129, p = 0.017, respectively). Prolonged nocturnal wake duration was significantly associated with more time spent in daytime hypoglycemia (β = 0.037, p = 0.046) and higher overnight glycemic variability (J index, β = 0.300, p = 0.015). The associations between TST and glycemic variability indices were not significant.

CONCLUSIONS

Sleep quality rather than TST was significantly associated with glycemic variability in children with T1D. Eveningness preference might contribute to an increased risk of hypoglycemia. Addressing sleep patterns and chronotypes can be crucial in management plans for youth with T1D.

Across and Within- Individual Associations Between Everyday Activities and Quality of Life Relevant Measures, in Workers with Type 1 Diabetes

Relationships between activity engagement and health related quality of life (HRQOL) can differ based on the level of analyses. For instance, greater exercise on average may be linked with lower fatigue across individuals (between-person level), whereas the momentary experience of exercise may be associated with increased fatigue within an individual (within-person level). Disentangling the between- and within-person associations between everyday activities and HRQOL outcomes may provide insights for personalized lifestyle-oriented health promotion efforts for individuals with chronic conditions. The purpose of this paper was to examine the between- and within-person relationships between activity engagement and HRQOL relevant measures in a sample of 92 workers with type 1 diabetes (T1D), from whom we collected ecological momentary assessment (EMA) data 5-6 times daily over 14 days. At each EMA prompt, information was collected on the activity participants just engaged in, and HRQOL relevant metrics (e.g. mental health, blood glucose, fatigue, functioning). Momentary reports of "caring for others", and more frequently "caring for others", were both associated with decreased HRQOL. Reporting napping 10% or more of the time during a person's waking hours, but not the momentary experience of napping, was associated with decreased HRQOL. Momentary reports of sleeping were associated with low activity satisfaction relative to other activities, but higher activity importance. Study results provided a quantitative representation of the lived experience of T1D covering multiple types of activity engagement, which potentially has health promotion implications for workers with T1D.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11482-023-10171-2.

Beliefs about Healthy Sleep Habits in Adults with Diabetes Compared to Adults without Diabetes: A Reasoned Action Approach Elicitation Study

Objective  Sleep is part of a healthy lifestyle and in adults with diabetes, inadequate sleep is associated with risks of developing complications. The objective was to compare beliefs about healthy sleep habits (HSHs) in adults with versus without diabetes based on the Reasoned Action Approach. Methods  A total of 56 adults with and 98 without diabetes answered open-ended questions regarding their beliefs about: avoiding screen use in bed; having a regular sleep schedule; or avoiding caffeine, alcohol, and cigarettes before bedtime. A qualitative content analysis was used to identify the most important beliefs, similarities, and differences between both groups. Results  Both groups reported that adopting HSHs could improve sleep. Having a regular sleep schedule was perceived to facilitate diabetes management in adults with diabetes. Negative consequences specific to adopting each HSH were identified in both groups. Adopting HSHs was associated with mainly negative emotions (e.g., stress, anxiety, fear) in both groups. Avoiding screen use in bed was associated with anxiety of not knowing blood glucose levels at night in adults with diabetes. Partners, parents, and friends were considered the most important individuals who would approve of adopting HSHs, but they were often perceived as unlikely to adopt HSHs themselves in both groups. Adults with diabetes perceived more barriers to adopting HSHs. Facilitating factors for both groups included removing triggers of unhealthy sleep habits, behavior substitution, using reminders, time management, and social support. Discussion  These beliefs can guide the development of behavioral sleep interventions, including interventions specifically for adults with diabetes.

Is Being a Lark Healthier for Patients with Type 1 Diabetes Mellitus?

Background  Sleep quality and mood have been evaluated in type 1 diabetic (T1DM) patients, but chronotypes were not studied. Our objectives were to analyze chronotypes, sleep and mood variables and to describe their association with some metabolic variables in this population. Methods  An observational, cross-sectional study was performed. Adults with a diagnosis of T1DM were included. We evaluated chronotypes by the Morningness-Eveningness Questionnaires, sleep quality by Pittsburgh Sleep Quality Index (PSQI), excessive daytime sleepiness by Epworth Sleepiness Scale (ESS), symptoms of depression by Patient Health Questionnaire - 9 (PHQ-9) and emotional well-being by Emotional Well Being Index (IWHO-5). A few metabolic variables were included. Results  Ninety-five patients participated. The mean age was 38 years old (range 18-70). The average body mass index (BMI) was 24.4 Kg/m ² (standard deviation [SD]: 4.6). Out of the total sample, 52.6% were males. The Intermediate chronotype was predominant: n  = 56 (55%). We found poor quality of sleep in 67.4% of the sample, excessive daytime sleepiness in 14.7%, depressive symptoms in 6.3% by PHQ9 and low perception of well-being by IWHO-5 in 16.8%. Evening chronotype scored worse in sleep quality ( p  = 0.05) and had lower well-being ( p  = 0.03) compared with the other chronotypes. Higher MEQ values (morningness) correlated with lower height ( p  = 0.043), lower values in the PSQI ( p  = 0.021); and higher values in emotional well-being ( p  = 0.040). Conclusions  We found that the predominant chronotype in T1DM was the intermediate. Two-thirds reported poor quality of sleep and 14,7% excessive daytime sleepiness. Possible diagnosis of a depressive disorder in 6.3% and poor self-perception of emotional well-being in 16. 8% were observed. The morning chronotype had significant correlation with better sleep quality and higher scores in emotional well-being.

Within-person Relationships of Sleep Duration with Next-Day Stress and Affect in the Daily Life of Adults with Type-1 Diabetes

Objective

The objective of this study is to examine the within-person relationships between sleep duration and next-day stress and affect in the daily life of individuals with T1D.

Methods

Study participants were recruited in the Function and Emotion in Everyday Life with Type 1 Diabetes (FEEL-T1D) study. Sleep duration was derived by synthesizing objective (actigraphy) and self-report measures. General and diabetes-specific stress and positive and negative affect were measured using ecological momentary assessment. Multilevel regression was used to examine the within-person relationships between sleep duration and next-day stress and affect. Cross-level interactions were used to explore whether gender and baseline depression and anxiety moderated these within-person relationships.

Results

Adults with T1D (n=166) completed measurements for 14 days. The average age was 40.99 years, and 91 participants (54.82%) were female. The average sleep duration was 7.29 hours (SD=1.18 hours). Longer sleep was significantly associated with lower general stress (p<0.001) but not diabetes-specific stress (p=0.18) on the next day. There were significant within-person associations of longer sleep with lower levels on next-day negative affect (overall, p=0.002, disappoint, p=0.05; sad, p=0.05; tense, p<0.001; upset, p=0.008; anxious, p=0.04). There were no significant associations with positive affect. Examination of the interaction effects did not reveal significant differential relationships for men and women and for individuals with and without depression or anxiety at baseline.

Conclusion

Findings from this study suggest optimizing sleep duration as an important interventional target for better managing general stress and improving daily emotional wellbeing of individuals with T1D.

Associated factors with depression and sleep quality in T1DM patients: a cross-sectional descriptive study

BACKGROUND

Individuals with type 1 diabetes (T1DM) may experience sleep problems, usually due to low blood sugar levels during sleep or performance of blood sugar management (e.g., blood sugar monitoring). This study aimed to identify the disease-related characteristics, psychosocial aspects, and related factors underlying sleep quality in patients with T1DM.

METHODS

This study employed a descriptive research design. The participants were 159 individuals with T1DM who completed online questionnaires. The data were analyzed using descriptive statistics, correlations, and multiple regression analyses.

RESULTS

The average score for depression in T1DM patients was 23.77 (SD 5.31), and sleep quality received a score of 4.58 (SD 3.22). Depression was positively correlated with sleep quality and negatively correlated with the total resilience score. The factors linked to depression in T1DM patients were duration of disease, sleep latency, sleep duration, sleep disturbance, and resilience-acceptance of self and life sub-factors, with an explanatory power of 44.4% for the depression variance. The associated factors with sleep quality in T1DM patients were complications, resilience-personal competence sub-factors, and depression, with an explanatory power of 37.4% for sleep quality variance.

CONCLUSIONS

The results of this study suggest that to improve sleep quality in patients with T1DM, it is necessary to develop and support disease management to prevent complications and implement interventions for improving resilience and reducing negative emotions such as depression.

Relationship satisfaction moderates links between poor sleep quality and psychological distress among couples coping with type 1 diabetes

OBJECTIVES

We examined links between sleep quality and psychological distress among couples dealing with type 1 diabetes (T1D) across cross-sectional and daily diary methods and investigated whether relationship satisfaction moderated these associations.

METHODS

199 persons with T1D and their spouses completed survey questionnaires reporting their own sleep quality, depressive symptoms, and relationship satisfaction. They also completed 14-day diaries reporting their own sleep quality and negative affect. Multi-level actor-partner interdependence models examined associations between sleep quality and psychological distress.

RESULTS

Cross-sectional and daily diary data revealed an association between poorer sleep quality and higher psychological distress for both persons with T1D and their spouses (ie, actor effects). Some partner effects were found. For example, poorer sleep quality of persons with T1D was associated with greater negative affect for spouses (within persons). Relationship satisfaction moderated the effects of sleep quality on psychological distress. For example, participants' poorer overall daily sleep quality was associated with greater negative affect for those with lower relationship satisfaction but not for those with higher relationship satisfaction (ie, actor effects). In contrast, partners' poorer overall daily sleep quality was associated with participants' greater negative affect for those with higher relationship satisfaction but not for those with lower relationship satisfaction (ie, partner-effects).

CONCLUSION

Links between sleep quality and psychological distress occur both within and between persons. Relationship satisfaction moderates the effect of poorer sleep quality on psychological distress in a nuanced way.

Sleep and Circadian Rhythm Disturbances in Diabetes: A Narrative Review

Sleep and circadian rhythm disturbances are less-known risk factors for the development and suboptimal outcomes of diabetes. The goal of this narrative review is to highlight the importance of sleep and circadian rhythm disturbances in the development and outcomes of type 1 diabetes (T1D) and type 2 diabetes (T2D), assess current treatment options and the possible mediating mechanisms. We performed a literature search using PubMed and selected relevant English and Dutch papers. Disturbances of sleep and circadian rhythm are common in people with diabetes. They are associated with an increased risk of developing T2D as well as with suboptimal diabetes outcomes (including higher HbA1c levels and reduced quality of life) for T1D and T2D. Preliminary data suggest that treatment of sleep and circadian rhythm disturbances could improve diabetes outcomes in people with T1D and T2D. Finally, the association with medical parameters appears to be mediated by disturbance in hormones, and by suboptimal self-care including forgetting or postponing glucose monitoring or medication use as well as higher consumption of high fat/high sugary foods. Diabetes may also disturb sleep, for example through nocturnal hypoglycemia and nocturia. We concluded that sleep and circadian rhythm disturbances are closely linked with diabetes. More attention to sleep in regular diabetes care is warranted, while further research is needed on treatment of sleep and circadian rhythm disturbances in the prevention of diabetes and its suboptimal outcomes.

Closed-Loop Insulin Delivery Effects on Glycemia During Sleep and Sleep Quality in Older Adults with Type 1 Diabetes: Results from the ORACL Trial

Sleep-related effects of closed-loop therapy among older adults with type 1 diabetes have not been well established. In the OldeR Adult Closed-Loop (ORACL) randomized, crossover trial of first-generation closed-loop therapy (MiniMed 670G), participants wore actigraphy and completed sleep diaries for 14-day periods at stage end. During objectively measured sleep (actigraphy) with closed-loop versus sensor-augmented pump therapy, glucose time-in-range 70-180 mg/dL (3.9-10.0 mmol/L) was greater (90.3% vs. 78.7%, respectively; difference 8.2 percentage points [95% confidence interval {CI} 1.5 to 13.0]; P = 0.008), and there were fewer sensor hypoglycemia episodes (18 vs. 43, respectively; incident rate ratio 0.40 [95% CI 0.20 to 0.55]; P = 0.007). Sleep quality recorded daily was worse with closed-loop therapy (P = 0.006); Pittsburgh Sleep Quality Index did not differ. There were 30% more system alarms during monitored sleep with closed-loop therapy (P < 0.001). First-generation closed-loop therapy has important glycemic benefits during sleep for older adults, with deterioration in some sleep quality measures. Sleep quality warrants prioritization and investigation during advancement of closed-loop technology.

'I don't sleep through the night': Qualitative study of sleep in type 1 diabetes

AIMS

Individuals with type 1 diabetes (T1D) experience greater sleep disturbances than people without diabetes. However, the nature, causes and effects of sleep disruption in individuals with T1D and their family are not well understood. The purpose of this study was to explore and characterise the perspectives of parents, partners and individuals with diabetes about T1D-related sleep issues.

METHODS

Participants included 44 youth and adults with T1D (ages 9-69), 24 parents of youth with T1D, and 14 partners of adults with T1D, recruited from diabetes clinics at two academic medical centres in the Southwestern and Midwestern United States. Semi-structured qualitative interviews were transcribed verbatim, coded and analysed using hybrid thematic analysis.

RESULTS

We identified two central themes: Emotional Distress and Sleep Disruption. Each theme had multiple subthemes, and the two central themes were related to one another via a shared subtheme, Worry Impacting Sleep.

CONCLUSIONS

Complex T1D-related emotional and behavioural factors both contributed to and resulted from sleep difficulties. Diabetes care providers should routinely assess for sleep concerns in people with T1D and their parents and partners. It may be important to consider both diabetes-related causes of sleep disruptions and potential impacts on self management and emotional functioning.

Using compositional analysis to explore the relationship between physical activity and cardiovascular health in children and adolescents with and without type 1 diabetes

OBJECTIVE

The aim of this study was to use a compositional analysis approach to account for the inherent co-dependencies between behaviors and to explore how daily movement behaviors influence cardiovascular health in children with and without T1D.

RESEARCH DESIGN AND METHODS

Augmentation index, pulse wave velocity (PWV) and heart rate variability were measured in 20 children with (11.9 ± 1.6 years) and 17 children without T1D (11.6 ± 2.2 years). Subsequently, physical activity and sleep were assessed at 20 Hz for 28 consecutive days using a wrist-worn accelerometer. Compositional analyses were utilized to explore the relative effects of each movement behavior and the overall movement complex on cardiovascular parameters, with predictive modeling used to explore the effects of reallocating 20 min between behaviors.

RESULTS

Arterial stiffness markers were most influenced by the total movement composition, whereas autonomic function was most influenced by sedentary time and sleep relative to all other behaviors. Reallocation of time from moderate-to-vigorous physical activity (MVPA) to any other behavior was predicted to negatively affect all cardiovascular measures, independent of disease status, whereas reallocating time to MVPA was consistently predicted to improve all outcome measures. Additionally, the same intensity of physical activity appeared to be more potent for cardiovascular health in T1D children compared to nondiabetic peers.

CONCLUSIONS

Intensity, rather than volume, of physical activity may be key in reducing risk of premature adverse changes in cardiovascular health, whereas increasing time in MVPA could potentially the slow progression of cardiovascular aging in children with diabetes.

Changes in quality of life following hypoglycaemia in adults with type 2 diabetes: A systematic review of longitudinal studies

AIM

To conduct a systematic review of published studies reporting on the longitudinal impacts of hypoglycaemia on quality of life (QoL) in adults with type 2 diabetes.

METHOD

Database searches with no restrictions by language or date were conducted in MEDLINE, Cochrane Library, CINAHL and PsycINFO. Studies were included for review if they used a longitudinal design (e.g. cohort studies, randomised controlled trials) and reported on the association between hypoglycaemia and changes over time in patient-reported outcomes related to QoL.

RESULTS

In all, 20 longitudinal studies published between 1998 and 2020, representing 50,429 adults with type 2 diabetes, were selected for review. A descriptive synthesis following Synthesis Without Meta-analysis guidelines indicated that self-treated symptomatic hypoglycaemia was followed by impairments in daily functioning along with elevated symptoms of generalised anxiety, diabetes distress and fear of hypoglycaemia. Severe hypoglycaemic events were associated with reduced confidence in diabetes self-management and lower ratings of perceived health over time. Frequent hypoglycaemia was followed by reduced energy levels and diminished emotional well-being. There was insufficient evidence, however, to conclude that hypoglycaemia impacted sleep quality, depressive symptoms, general mood, social support or overall diabetes-specific QoL.

CONCLUSIONS

Longitudinal evidence in this review suggests hypoglycaemia is a common occurrence among adults with type 2 diabetes that impacts key facets in the physical and psychological domains of QoL. Nonetheless, additional longitudinal research is needed-in particular, studies targeting diverse forms of hypoglycaemia, more varied facets of QoL and outcomes assessed using hypoglycaemia-specific measures.

Unraveling the concepts of distress, burnout, and depression in type 1 diabetes: A scoping review

BACKGROUND

Psychological complications are frequent in type 1 diabetes (T1D) but they might be difficult to distinguish one from the other in clinical practice. Our objective was to study the distinguishing characteristics, overlaps and their use in the literature between three concepts of T1D: depression, diabetes distress (DD) and diabetes burnout (DB).

METHODS

A scoping review (PRISMA guidelines) performed in three databases (PubMed/MEDLINE, PsycInfo, Web of Science) with the keywords: T1D, depression, diabetes and burnout, from January 1990 to June 2021. We selected original studies with participants with T1D, which reported depression, DD, or DB. We extracted information about the concepts, their sub-concepts and screening tools.

FINDINGS

Of the 4763 studies identified, 201 studies were included in the study. Seventy-three percent, 57% and 45% of sub-concepts do not overlap in depression, DD, and DB, respectively. We observed overlap between depression (27%)/DD (27%) and between DD (20%)/DB (50%).

INTERPRETATION

A number of sub-concepts distinguish depression and DD. Overlaps between concepts suggest that a more precise definition is still lacking. DB is still a relatively new concept and more research is needed to better understand how it can present itself differently, in order to personalize care in comparison to those having DD.

Relationship of glycaemic derangement using continuous glucose monitoring system with sleep pattern among children with type 1 diabetes

BACKGROUND

Glycaemic derangement has been linked to sleep disruption. However, the impact of glycaemic derangement on sleep pattern among children with type 1 diabetes (C-T1D) remains unraveled.

AIM

To assess the effect of nocturnal hyperglycaemia and clinically significant (CS) hypoglycaemia on sleep pattern among C-T1D.

METHODOLOGY

Thirty C-T1D were compared to 30 age and sex matched healthy siblings. Patients having other organ disease that might cause sleep disorders or on medications causing sleep disturbance were excluded. History included diabetes-duration, type and dose of insulin therapy, chronic diabetic-complications, and manifestations of sleep disorders. Epworth Sleepiness Scale-Child Adolescent was used. Continuous glucose monitoring system (CGMS) and overnight polysomnography were done and analysed.

RESULTS

C-T1D had significantly lower sleep efficiency and significantly higher arousal index (AI), periodic limb movement index and apnoea-hypopnoea index compared to controls. Moreover, they had significantly longer sleep-onset latency, light sleep percentage, and shorter rapid eye movement percentage than controls. According to nocturnal CGMS readings, 15 C-T1D had nocturnal hyperglycaemia (50%), six experienced CS hypoglycaemia (20%), two had level-1 hypoglycaemia (6.7%), and seven were within the normoglycaemic range (23.3%). C-T1D experiencing nocturnal CS hypoglycaemia had significantly higher stage 3 sleep (P = 0.004) than controls. On the other hand, C- T1D experiencing nocturnal hyperglycaemia had significantly higher sleep onset latency (P = 0.013), light sleep percentage (P < 0.001), and AI (P < 0.001) than controls. Nocturnal CS hypoglycaemia was positively correlated to deep sleep duration, while hyperglycaemia was correlated to number of awakenings, sleep-onset latency, and light sleep duration.

CONCLUSION

In children with T1D CS hypoglycaemia is associated with sleep deepening, while hyperglycaemia is associated with increased light sleep, sleep onset latency.

Mental and somatic health in university students with type 1 diabetes: new results from DiaSHoT18, a cross sectional national health and well-being survey

OBJECTIVES

To explore mental and somatic health, quality of life, alcohol-related problems, sleep problems, and diabetes related distress in university students with type 1 diabetes (T1D), compared to students without T1D. Further, we evaluated associations with gender, treatment modalities, and achieved metabolic control.

METHODS

All fulltime Norwegian students aged 18-35 years pursuing higher education in 2018 (n=162.512) were invited into a comprehensive national survey on health and well-being. Students that stated having diabetes was asked further questions about their diabetes care.

RESULTS

Of 49,684 participating students, 324 participants stated having T1D. Students with T1D did not show more mental or somatic health symptoms, or report a higher level of loneliness. However, T1D was significantly associated with lower quality of life (QoL). Students with good metabolic control reached the same QoL as students without T1D. Mental disorders and suicidality were associated with lacking metabolic control. The proportion of unhealthy drinking habits was generally low, and even lower in students with T1D. Sleeping patterns were generally good, but students using continuous glucose measurement were awakening more often during sleep. Females with T1D showed higher levels of diabetes related problems and distress, but good metabolic control was associated with lower diabetes distress level.

CONCLUSIONS

Students with T1D scored equally on most mental and somatic health scales. Their quality of life was significantly worse compared to their healthy peers. Knowledge on the impact of metabolic control, gender and the use of CSII and CGM can be valuable for the caretakers of young adults with T1D.

Impact of type 1 diabetes mellitus, glucose levels, and glycemic control on sleep in children and adolescents: a case-control study

STUDY OBJECTIVES

To assess differences in habitual sleep patterns and sleep states between children and adolescents with type 1 diabetes mellitus (T1DM) and control subjects, and to explore the relationships between sleep, glucose levels, and glycemic control.

METHODS

Participants included 82 children (5-18 years); 41 with T1DM (cases), and 41 healthy control subjects group matched for age and sex. Sleep was measured by 7-day actigraphy and single-night home-based polysomnography (PSG) recordings. Hemoglobin A1c (HbA1c) and 7 days of continuous glucose monitoring (CGM) data were collected in cases. Regression analyses were used to model all within- and between-group comparisons adjusted for age, sex, and BMI z-scores.

RESULTS

There were no significant differences in sleep duration, efficiency, or awakenings as measured by actigraphy and PSG between cases and controls, nor sleep states measured by PSG. However, cases had significantly later sleep onset and offset than controls (both p < 0.05), partially moderated by age. Cases with suboptimal glycemic control (HbA1c ≥ 58 mmol/mol [≥7.5%]) had significantly shorter actigraphy-derived total sleep time (TST) (mean difference = -40 minutes; 95% confidence interval = -77, -3), with similar differences in TST measured by PSG. Cases with mean CGM glucose levels ≥10 mmol/L (≥180 mg/dL) on PSG night had significantly more stage N3 (%) sleep and less stage REM (%) sleep (both p < 0.05).

CONCLUSIONS

Short- and long-term suboptimal glycemic control in T1DM children appears to be associated with sleep alterations. Pediatric diabetes care teams should be aware of potential interrelationships between sleep and T1DM, including management and glycemic control.

Sleep insufficiency and incident diabetes mellitus among indigenous and minority populations in Greece

Objective

To investigate the potential association between sleep pathology and diabetes mellitus (DM) using self-reported questionnaires.

Material and Methods

957 adults aged between 19 and 86 years old were enrolled in this cross-sectional study. Multistage stratified cluster sampling was used and subjects were classified into three groups [short (<6h), normal (6-8h) and long (>8h) sleep duration]. Individuals were classified as diabetics if they responded positively to the questions: “Have you ever been told that you are diabetic or have high blood sugar by a health professional?” or “Are you on antidiabetic medication?”. Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined.

Results

DM prevalence was higher among expatriated and Muslim Greeks (23.1% and 18.7%, respectively) compared to indigenous Greek Christians (4.4%). DM prevalence was significantly associated with short sleep duration (aOR=2.82, p<0.001), excessive daytime sleepiness (aOR=2.09, p=0.019) and poor sleep quality (aOR=2.56, p<0.001), while its relation with insomnia (aOR=1.63, p=0.065) and risk for obstructive sleep apnea (aOR=1.53, p=0.080) were of marginal statistical significance.

Conclusion

This study indicates an association between sleep quantity, quality and DM and supports early pharmacological and cognitive behavioral interventions on sleep disturbances in order to reduce the burden of DM with increased focus on minority population needs.

"I've Had an Alarm Set for 3:00 a.m. for Decades": The Impact of Type 1 Diabetes on Sleep

There is a dearth of research characterizing the impact on a caregiver's sleep when caring for a minor with type 1 diabetes. This study used focus groups of people with type 1 diabetes and caregivers of minors with type 1 diabetes to explore the experience of how diabetes affects sleep. The occurrence of both unanticipated and planned sleep disruptions led to the majority of participants reporting that their sleep was considerably affected by diabetes. Despite the improvement in blood glucose management that diabetes technology devices can provide, people with type 1 diabetes and their caregivers still report sleep disruption and sleep loss resulting from overnight diabetes management.

The MiaoMiao study: can do-it-yourself continuous glucose monitoring technology improve fear of hypoglycaemia in parents of children affected by type 1 diabetes?

Purpose

Type 1 diabetes (T1D) is one of the most common chronic diseases of childhood and comes with considerable management and psychological burden for children and their families. Fear of hypoglycaemia (FOH), particularly nocturnal hypoglycaemia, is a common worry. Continuous glucose monitoring (CGM) is a tool that may help reduce FOH, as well as reduce overall diabetes burden. However, CGM systems are expensive and often not publicly funded or subsidised. MiaoMiao (MM) is a novel relatively affordable third-party add-on technology to intermittently scanned CGM (isCGM). MM allows users to convert their isCGM to a form of "Do-it-yourself" (DIY)-CGM. Our hypothesis is that MM-CGM will result in significant reduction in parental fear from hypoglycaemia. The primary objective is to determine the impact of real-time DIY-CGM on parental fear of hypoglycaemia using Hypoglycaemia Fear Survey (HFS).

Methods

This is a multisite randomised cross-over study of 55 New Zealand children (ages 2-13 years) with established T1D and current users of isCGM (Abbott FreeStyle Libre). DIY-CGM will be compared to usual care with isCGM. Participants will be randomised to either arm of the study for 6 weeks followed by a 4-week wash-out period before crossing over to the other study arm for a further 6 weeks.

Discussion

The results of this study will provide much needed clinical trial data regarding DIY-CGM effectiveness in reducing parental FOH, as measured by HFS, as well as various other secondary outcomes including traditional glycaemic metrics, and child and caregiver sleep. The trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN 12619001551189) on 18 November 2019, and the World Health Organisation International Clinical Trial Registry Platform (Universal Trial Number U1111-1236-9189).

Sleep, Diet and Physical Activity Among Adults Living With Type 1 and Type 2 Diabetes

OBJECTIVES

Our aim in this work was to document sleep/insomnia, fruit and vegetable (FV) consumption and physical activity (PA) according to diabetes presence and type and biologic sex, as these 3 lifestyle habits may influence glycemic control and prevention of diabetes-related complications.

METHODS

Adults between 18 and 64 years of age were invited to complete validated web-based self-reported questionnaires assessing sleep, insomnia, FV consumption and PA. Pregnant women and shift workers were excluded from the study.

RESULTS

A total of 151 adults (80.1% women), of whom 54 had diabetes (type 1 [T1D], n=30; type 2 [T2D], n=24), completed the questionnaires. Sleep quality scores were significantly higher, indicating poorer sleep quality, according to diabetes presence (diabetes, 7.2±3.5; no diabetes, 5.4±3.5; p=0.0024) and type (T1D, 6.1±2.9; T2D, 8.7±3.8; p=0.0072). Sleep duration was significantly shorter among adults living with diabetes (diabetes, 7.0±1.7 hours/night; no diabetes, 7.8±1.3 hours/night; p=0.0019), regardless of type. More adults living with diabetes had moderate to severe clinical insomnia (diabetes, 25.9%; no diabetes, 10.4%; p=0.0129), especially those with T2D (T1D, 13.3%; T2D, 41.7%; p=0.0182). FV consumption and PA did not vary significantly according to diabetes presence and type. Only PA differed by biologic sex, with lower PA among women.

CONCLUSIONS

The results suggest that adults living with diabetes, especially those with T2D, are at higher risk for short and poor sleep quality, and clinical insomnia. Adults living with diabetes, especially those with T2D, should have access to effective sleep interventions to prevent complications associated with elevated glucose levels.

Sleep Quality and Associated Factors Among Diabetes Mellitus Patients in a Follow-Up Clinic at the University of Gondar Comprehensive Specialized Hospital in Gondar, Northwest Ethiopia: A Cross-Sectional Study

INTRODUCTION

Diabetic mellitus has a negative impact on the quality of sleep. It is one of the leading public health conditions which can result in poor sleep quality. Poor sleep quality is an unreported and unrecognized problem which can affect the prognosis of diabetes patients.

OBJECTIVE

The aim of this study is to assess the prevalence of poor sleep quality and its associated factors among patients with diabetes mellitus attending follow-up clinics at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2019.

METHODS

An institution-based cross-sectional study was conducted among 430 diabetes mellitus patients at the University of Gondar Comprehensive Specialized Hospital from February 1, 2020 to March 28, 2020. A systematic random sampling method was used to reach the study subjects. An interviewer-administered questionnaire was used for data collection. Pittsburgh sleep quality index was used for assessing sleep quality. To explain study variables, frequency tables and percentages were used. A binary logistic regression was conducted to see the relation between dependent and independent variables.

RESULTS

A total of 430 diabetes mellitus patients participated in the study with a response rate of 100%. The overall prevalence of poor sleep quality was 47.2%. Drinking alcohol (AOR = 2.45, 95% CI: 1.28-4.69), smokers (AOR = 6.26, 95% CI: 2.04-19.21), comorbidity (AOR = 1.80, 95% CI: 1.10-2.96), BMI ≥ 30 (AOR = 4.87, 95% CI: 1.07-22.09), having type 2 diabetes mellitus (AOR = 2.16, 95% CI: 1.04-4.50), poor glycemic control (AOR = 2.61, 95% CI: 1.81-4.81) and having depression (AOR = 9.95, 95% CI: 4.85-20.38) were associated with poor sleep quality.

CONCLUSION

In this study, nearly half of the patients had poor sleep quality. Drinking alcohol, smoking, comorbidities, higher BMI, type 2 diabetes mellitus, poor glycemic control and having depression were factors in poor sleep quality. Creating awareness of the need for weight reduction, minimizing alcohol intake, cessation of smoking, and improving sleep hygiene for DM patients would be effective management for improving poor sleep quality.

The Role of Self-regulation Failures and Self-care in the Link Between Daily Sleep Quality and Blood Glucose Among Adults with Type 1 Diabetes

BACKGROUND

Sleep, a process that restores the body's ability to self-regulate, may be one important factor affecting self-care behaviors and blood glucose (BG) levels. The link between sleep quality, self-care behaviors, and BG levels may occur by sleep-altering daily self-regulatory failures.

PURPOSE

This study examined whether the relation between sleep quality and self-care behaviors occurred through self-regulation failures and whether the relation between sleep quality and BG levels occurred through self-regulation failures and self-care behaviors sequentially.

METHODS

One hundred and ninety-nine adults with type 1 diabetes (T1D) completed an online questionnaire for 14 days in which they reported sleep quality, self-regulation failures, and self-care behaviors. BG levels were gathered from glucometers. Analyses involved multilevel mediation models and focused on daily within-person and between-person variability of sleep quality.

RESULTS

Better daily sleep quality was associated with higher self-care behaviors at both within-person and between-person levels, and self-regulation failures mediated the association between daily sleep quality and daily self-care behaviors at both within-person and between-person levels. Better daily sleep quality was associated with better BG levels at the within-person level and self-regulation behaviors and self-care behaviors sequentially mediated the association between daily sleep quality and daily BG levels at the within-person level.

CONCLUSION

This study provides a process account of the importance of daily sleep quality of adults with T1D, as well as one potential mechanism-self-regulation-that may explain the effect of sleep quality on diabetes outcomes.

Sleep-related disorders in patients with type 1 diabetes mellitus: current insights

Type 1 diabetes mellitus (T1DM) is an autoimmune condition that results from destruction of beta cells in the pancreas. Several reviews have concluded that sleep contributes to poor glycemic control, diabetes management, and diabetes-related complications in individuals with T1DM and represents an untapped opportunity for intervention. However, at the current juncture, the American Diabetes Association's Standards of Medical Care are devoid of recommendations about how to address sleep in the management of T1DM. This article summarizes reviews of sleep in youth and adults with T1DM and empirical studies that have examined various sleep parameters ranging from sleep disturbances (general, perceived sleep quality, sleepiness, awakenings, and sleep efficiency), sleep duration, sleep consistency, sleep-disordered breathing (SDB), and sleep architecture. The data show that many individuals with T1DM sleep less than recommendations; individuals with the poorest sleep have difficulties with diabetes management; and sleep deficiency including SDB often corresponds to several disease morbidities (neuropathy, nephropathy, etc). Mixed findings exist regarding direct associations of various sleep parameters and glycemic control. SDB appears to be just as prevalent, if not more, than other conditions that have been recommended for universal screening in individuals with T1DM. The article concludes with recommendations for collaborative research efforts to further elucidate the role of sleep in diabetes-related outcomes; investigations to test behavioral strategies to increase sleep quantity and consistency; and considerations for clinical care to address sleep.

Endothelial Dysfunction is Related to Glycemic Variability and Quality and Duration of Sleep in Adults With Type 1 Diabetes

BACKGROUND

Elevated cardiovascular disease risk in people with type 1 diabetes (T1DM) is incompletely understood. Glycemic control, glycemic variability, and sleep quality and duration may relate to cardiovascular disease risk in this population via endothelial dysfunction.

OBJECTIVE

The aim of this study was to examine relationships among glycemic control, glycemic variability, sleep quality and duration, and endothelial function in adults with T1DM.

METHODS

Endothelial function was measured using flow-mediated dilation. Glycemic control and glycemic variability were measured using A1C and a continuous glucose monitor, respectively; sleep quality and duration were measured with the Pittsburgh Sleep Quality Index.

RESULTS

Twenty subjects were recruited. Reduced flow-mediated dilation and higher glucose levels were associated with poorer sleep quality (r = -0.51, P = .01; r = 0.52, P = .03). Subjects with shorter sleep duration had greater glycemic variability.

CONCLUSIONS

Endothelial dysfunction (a precursor to cardiovascular disease) relates to glycemic control, glycemic variability, and sleep quality in T1DM.

Daily sleep quality and daily stressors in couples coping with type 1 diabetes

OBJECTIVE

To examine the influence of daily sleep quality in patients with Type 1 diabetes (T1D) on that of their spouses and to investigate the influence of couples' sleep quality on patients' diabetes-specific stressors and couples' general stressors the following day.

METHODS

199 patients with Type 1 diabetes (Mage = 46.82) and their spouses (Mage = 46.41) completed a 14-day diary where they reported on their own sleep quality, and the presence of general stressors. Patients reported the presence of diabetes-specific stressors. Multilevel modeling examined the effects of daily variability in (within-person effects) and average levels of (between-person effects) sleep quality on the number of next-day diabetes-specific stressors (controlling for prior day stressors). Furthermore, the actor-partner interdependence model was used to examine the effect of sleep quality on general stressors.

RESULTS

Greater patients' daily sleep quality was related to their spouses' greater sleep quality. Increases in the patients' own daily- and average sleep quality were uniquely associated with fewer next day diabetes-specific stressors. Better own daily- and average sleep quality were associated with fewer general stressors for both partners. Spouses' increased daily sleep quality was associated with fewer general stressors of patients.

CONCLUSIONS

The results support that sleep quality is a dyadic phenomenon among couples and suggest that better sleep quality may buffer diabetes specific and general stress in couples coping with T1D. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Sleep in Type 1 Diabetes: Implications for Glycemic Control and Diabetes Management

PURPOSE OF REVIEW

To highlight recent findings from studies of sleep in type 1 diabetes (T1D), with a focus on the role of sleep in self-management, the cognitive and psychosocial outcomes related to sleep disturbances, and factors associated with sleep disturbances specific to T1D.

RECENT FINDINGS

People with T1D experience higher rates of sleep disturbances than people without diabetes, and these disturbances have negative implications for glycemic control and diabetes management, as well as psychosocial and cognitive outcomes. Inconsistent sleep timing (bedtime and wake time) has emerged as a potential target for interventions, as variability in sleep timing has been linked with poorer glycemic control and adherence to treatment. Sleep-promoting interventions and new diabetes technology have the potential to improve sleep in people with T1D. Sleep is increasingly considered a critical factor in diabetes management, but more multi-method and longitudinal research is needed. We emphasize the importance of sufficient and consistent sleep for people with T1D, and the need for providers to routinely assess sleep among patients with T1D.

New Insight into the Role of Obstructive Sleep Apnea in Cardiometabolic Diseases

Humans spend almost one third of their life sleeping, thus sleep deprivation or poor sleep quality will have consequences upon the quality of life. Obstructive sleep apnea (OSA) is the most common sleep disorder that represents a respiratory cessation for at least ten seconds, which appears repeatable during sleep and it is accompanied by decreased oxygen saturation. The diagnosis of OSA is possible by filling in the STOP, STOP BANG, BERLIN questionnaires and performing the polysomnography, an accessible and more accurate method but yet very expensive. The prevalence of OSA is continuously increasing, but because of the nonspecific symptoms, the percentage of un-diagnosed cases is further increased. Data from 11 epidemiological studies published between 1993 and 2014 indicated an OSA prevalence of 22% in men and 17% in women. It has been suggested that there is a bidirectional causal relationship between OSA and obesity, and numerous studies have shown association of OSA with insulin resistance, diabetes mellitus, diabetic micro- and macrovascular complications and atrial fibrillation.