Fear of hypoglycemia: Influence on glycemic variability and self-management behavior in young adults with type 1 diabetes

Glycemic Management Around Postprandial Exercise in People With Type 1 Diabetes: Challenge Accepted

CONTEXT

The precise glycemic impact and clinical relevance of postprandial exercise in type 1 diabetes (T1D) has not been clarified yet.

OBJECTIVE

This work aimed to examine acute, subacute, and late effects of postprandial exercise on blood glucose (BG).

METHODS

A randomized, controlled trial comprised 4 laboratory visits, with 24-hour follow-up at home. Participants included adults with T1D (n = 8), aged 44 ± 13 years, with body mass index of 24 ± 2.1. Intervention included 30 minutes of rest (CONTROL), walking (WALK), moderate-intensity (MOD), or intermittent high-intensity (IHE) exercise performed 60 minutes after a standardized meal. Main outcome measures included BG change during exercise/control (acute), and secondary outcomes included the subacute (≤2 h after) and late glycemic effects (≤24 h after).

RESULTS

Exercise reduced postprandial glucose (PPG) excursion compared to CONTROL, with a consistent BG decline in all patients for all modalities (mean declines -45 ± 24, -71 ± 39, and -35 ± 21 mg/dL, during WALK, MOD, and IHE, respectively (P < .001). For this decline, clinical superiority was demonstrated separately for each exercise modality vs CONTROL. Noninferiority of WALK vs MOD was not demonstrated, noninferiority of WALK vs IHE was demonstrated, and equivalence of IHE vs MOD was not demonstrated. Hypoglycemia did not occur during exercise. BG increased in the hour after exercise (more than after CONTROL; P < .001). More than half of participants showed hyperglycemia after exercise necessitating insulin correction. There were more nocturnal hypoglycemic events after exercise vs CONTROL (P < .05).

CONCLUSION

Postprandial exercise of all modalities is effective, safe, and feasible if necessary precautions are taken (ie, prandial insulin reductions), as exercise lowered maximal PPG excursion and caused a consistent and clinically relevant BG decline during exercise while there was no hypoglycemia during or shortly after exercise. However, there seem to be 2 remaining challenges: subacute postexercise hyperglycemia and nocturnal hypoglycemia.

MDI versus CSII in Chinese adults with type 1 diabetes in a real-world situation: based on propensity score matching method

BACKGROUND

Compared with multiple daily insulin injections (MDI), continuous subcutaneous insulin infusion (CSII) is significantly more expensive and has not been widely used in Chinese type 1 diabetes mellitus (T1DM) patients. So there are still significant knowledge gaps regarding clinical and patient-reported outcomes in China.

AIMS

This study aims to compare the glycated hemoglobin (HbA1C), insulin therapy related quality of life (ITR-QOL), fear of hypoglycemia (FOH) of adult T1DM patients treated with MDI and CSII based on propensity score matching in real-world conditions in China.

METHODS

Four hundred twenty adult T1DM patients who were treated with MDI or CSII continuously for more than 12 months in a national metabolic center from June 2021 to June 2023 were selected as the study subjects. Their QOL and FOH were evaluated with Insulin Therapy Related Quality of Life Measure Questionnaire-Chinese version (ITR-QOL-CV) and the Chinese Version Hypoglycemia Fear Survey-Worry Scale (CHFSII-WS), and their HbA1C were collected at the same time. Potential confounding variables between the two groups were matched using propensity score matching.

RESULTS

Of the 420 patients included in the study, 315 were in MDI group and 105 were in CSII group. 102 pairs were successfully matched. After matching, the total score of ITR-QOL-CV scale in CSII group was significantly higher than that in MDI group (87.08 ± 13.53 vs. 80.66 ± 19.25, P = 0.006). Among them, the dimensions of daily life, social life, and psychological state were all statistically different (P < 0.05). The scores of CHFSII-WS (8.33 ± 3.49 vs. 11.77 ± 5.27, P = 0.003) and HbA1C (7.19 ± 1.33% vs. 7.71 ± 1.93%, P = 0.045) in CSII group were lower than those in MDI group.

CONCLUSIONS

25.0% of T1DM adults are treated with CSII. Compared with adult T1DM patients treated with MDI, those treated with CSII have higher ITR-QOL, less FoH, and better control of HbA1C in real-world conditions in China. Therefore, regardless of economic factors, CSII is recommended for adult T1DM patients to optimize the therapeutic effect and outcomes.

FREE: A randomized controlled feasibility trial of a cognitive behavioral therapy and technology-assisted intervention to reduce fear of hypoglycemia in young adults with type 1 diabetes

OBJECTIVE

The purpose of this study was to test the preliminary effectiveness of a cognitive behavioral therapy intervention (Fear Reduction Efficacy Evaluation [FREE]) designed to reduce fear of hypoglycemia in young adults with type 1 diabetes. The primary outcome was fear of hypoglycemia, secondary outcomes were A1C, and glycemic variability.

METHODS

A randomized clinical trial was used to test an 8-week intervention (FREE) compared to an attention control (diabetes education) in 50 young adults with type 1 diabetes who experienced fear of hypoglycemia at baseline. All participants wore a continuous glucose monitor for the 8-week study period. Self-reported fear of hypoglycemia point-of-care A1C testing, continuous glucose monitor-derived glucose variability were measured at baseline, Week 8, and Week 12 (post-program).

RESULTS

Compared to controls, those participating in the FREE intervention experienced a reduction in fear of hypoglycemia (SMD B = -8.52, p = 0.021), change in A1C (SMD B = 0.04, p = 0.841) and glycemic variability (glucose standard deviation SMD B = -2.5, p = 0.545) by the end of the intervention. This represented an 8.52% greater reduction in fear of hypoglycemia.

CONCLUSION

A cognitive behavioral therapy intervention (FREE) resulted in improvements in fear of hypoglycemia.

CLINICALTRIALS

govNCT03549104.

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks

Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity plays a crucial role in the therapy of diabetes, benefiting both types of patients. The detection, recognition, and subsequent classification of physical activity based on type and intensity are integral components of DM treatment. The continuous glucose monitoring system (CGMS) signal provides the blood glucose (BG) level, and the combination of CGMS and heart rate (HR) signals are potential targets for detecting relevant physical activity from the BG variation point of view. The main objective of the present research is the developing of an artificial intelligence (AI) algorithm capable of detecting physical activity using these signals. Using multiple recurrent models, the best-achieved performance of the different classifiers is a 0.99 area under the receiver operating characteristic curve. The application of recurrent neural networks (RNNs) is shown to be a powerful and efficient solution for accurate detection and analysis of physical activity in patients with DM. This approach has great potential to improve our understanding of individual activity patterns, thus contributing to a more personalized and effective management of DM.

The Health Economics of Automated Insulin Delivery Systems and the Potential Use of Time in Range in Diabetes Modeling: A Narrative Review

Intensive therapy with exogenous insulin is the treatment of choice for individuals living with type 1 diabetes (T1D) and some with type 2 diabetes, alongside regular glucose monitoring. The development of systems allowing (semi-)automated insulin delivery (AID), by connecting glucose sensors with insulin pumps and algorithms, has revolutionized insulin therapy. Indeed, AID systems have demonstrated a proven impact on overall glucose control, as indicated by effects on glycated hemoglobin (HbA1c), risk of severe hypoglycemia, and quality of life measures. An alternative endpoint for glucose control that has arisen from the use of sensor-based continuous glucose monitoring is the time in range (TIR) measure, which offers an indication of overall glucose control, while adding information on the quality of control with regard to blood glucose level stability. A review of literature on the health-economic value of AID systems was conducted, with a focus placed on the growing place of TIR as an endpoint in studies involving AID systems. Results showed that the majority of economic evaluations of AID systems focused on individuals with T1D and found AID systems to be cost-effective. Most studies incorporated HbA1c, rather than TIR, as a clinical endpoint to determine treatment effects on glucose control and subsequent quality-adjusted life year (QALY) gains. Likely reasons for the choice of HbA1c as the chosen endpoint is the use of this metric in most validated and established economic models, as well as the limited publicly available evidence on appropriate methodologies for TIR data incorporation within conventional economic evaluations. Future studies could include the novel TIR metric in health-economic evaluations as an additional measure of treatment effects and subsequent QALY gains, to facilitate a holistic representation of the impact of AID systems on glycemic control. This would provide decision makers with robust evidence to inform future recommendations for health care interventions.

A Matched-Pair Analysis of Gross Motor Skills of 3- to 5-Year-Old Children With and Without a Chronic Physical Illness

PURPOSE

The purpose of this study was to compare the gross motor skills of children with a chronic physical illness with those of their healthy peers.

METHODS

Data for children with a chronic physical illness come from the Multimorbidity in Children and Youth Across the Life Course study, and data from children without a physical illness come from the Health Outcomes and Physical Activity in Preschoolers study. Multimorbidity in Children and Youth Across the Life Course and Health Outcomes and Physical Activity in Preschoolers included children ages 3-5 years and administered the Peabody Development Motor Scales-second edition. Participants were sex and age matched (20 male and 15 female pairs; Mage = 54.03 [9.5] mo).

RESULTS

Gross motor skills scores were "below average" for 47% of children with a physical illness compared with 9% of children without a physical illness (P = .003). Matched-paired t tests detected significant differences in total gross motor scores (dz = -0.35), locomotor (dz = -0.31), and object control (dz = -0.39) scores, with healthy children exhibiting better motor skills, and no significant difference in stationary scores (dz = -0.19).

CONCLUSIONS

This skill gap may increase burden on children with physical illness and future research should assess gross motor skills longitudinally to establish whether the gap widens with age.

Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition

Currently, the differentiation between type 1 diabetes (T1D) and type 2 diabetes (T2D) is not straightforward, and the features of both types of diabetes coexist in one subject. This situation triggered the need to discriminate so-called double diabetes (DD), hybrid diabetes or type 1.5 diabetes, which is generally described as the presence of the insulin resistance characteristic of metabolic syndrome in individuals diagnosed with T1D. DD not only raises the question of proper classification of diabetes but is also associated with a significantly greater risk of developing micro- and macroangiopathic complications, which was independent of glycaemic control. When considering the global obesity pandemic and increasing incidence of T1D, the prevalence of DD may also presumably increase. Therefore, it is of the highest priority to discover the mechanisms underlying the development of DD and to identify appropriate methods to prevent or treat DD. In this article, we describe how the definition of double diabetes has changed over the years and how it is currently defined. We discuss the accuracy of including metabolic syndrome in the DD definition. We also present possible hypotheses connecting insulin resistance with T1D and propose possible methods to identify individuals with double diabetes based on indirect insulin resistance markers, which are easily assessed in everyday clinical practice. Moreover, we discuss adjuvant therapy which may be considered in double diabetic patients.

"It changed everything we do": A mixed methods study of youth and parent experiences with a pilot exercise education intervention following new diagnosis of type 1 diabetes

AIMS

This pilot study delivered a comprehensive exercise education intervention to youth with new-onset type 1 diabetes (T1D) and their parents to increase knowledge and confidence with physical activity (PA) shortly after diagnosis.

METHODS

Youth initiated continuous glucose monitoring (CGM) and PA trackers within 1 month of diagnosis. Youth and their parents received the 4-session intervention over 12 months. Participants completed self-report questionnaires at baseline, 6- and 12-months. Surveys were analyzed using linear mixed effects models. Semi-structured interviews and focus groups explored experiences with the exercise education intervention. Groups and interviews were audio-recorded, transcribed, and analyzed using content analysis.

RESULTS

A total of 16 parents (aged 46 ± 7 years; 88 % female; 67 % non-Hispanic White) and 17 youth (aged 14 ± 2 years; 41 % female; 65 % non-Hispanic White) participated. Worry about hypoglycemia did not worsen throughout the study duration. Parents and youth reported increased knowledge and confidence in managing T1D safely and preventing hypoglycemia during PA following receiving the tailored exercise education intervention.

CONCLUSION

This study assessed a novel structured exercise education program for youth and their parents shortly following T1D diagnosis. These results support the broad translation and acceptability of a structured exercise education program in new-onset T1D.

Post-Hypoglycemic hyperglycemia are highly relevant markers for stratification of glycemic variability and partial remission status of pediatric patients with new-onset type 1 diabetes

AIMS

To evaluate whether parameters of post-hypoglycemic hyperglycemia (PHH) correlated with glucose homeostasis during the first year after type 1 diabetes onset and helped to distinguish pediatric patients undergoing partial remission or not.

METHODS

In the GLUREDIA (GLUcagon Response to hypoglycemia in children and adolescents with new-onset type 1 DIAbetes) study, longitudinal values of clinical parameters, continuous glucose monitoring metrics and residual β-cell secretion from children with new-onset type 1 diabetes were analyzed during the first year after disease onset. PHH parameters were calculated using an in-house algorithm. Correlations between PHH parameters (i.e., PHH frequency, PHH duration, PHH area under the curve [PHHAUC]) and glycemic homeostasis markers were studied using adjusted mixed-effects models.

RESULTS

PHH parameters were strong markers to differentiate remitters from non-remitters with PHH/Hyperglycemia duration ratio being the most sensitive (ratio<0.02; sensitivity = 86% and specificity = 68%). PHHAUC moderately correlated with parameters of glucose homeostasis including TIR (R2 = 0.35, p-value < 0.05), coefficient of variation (R2 = 0.22, p-value < 0.05) and Insulin-Dose Adjusted A1c (IDAA1C) (R2 = 0.32, p-value < 0.05) and with residual β-cell secretion (R2 = 0.17, p-value < 0.05). Classification of patients into four previously described glucotypes independently validated PHH parameters as reliable markers of glucose homeostasis and improved the segregation of patients with intermediate values of IDAA1C and estimated C-peptide (CPEPEST). Finally, a combination of PHH parameters identified groups of patients with specific patterns of hypoglycemia.

CONCLUSION

PHH parameters are new minimal-invasive markers to discriminate remitters from non-remitters and evaluate glycemic homeostasis during the first year of type 1 diabetes. PHH parameters may also allow patient-targeted therapeutic management of hypoglycemic episodes.

Fully Closed-Loop Glucose Control Compared With Insulin Pump Therapy With Continuous Glucose Monitoring in Adults With Type 1 Diabetes and Suboptimal Glycemic Control: A Single-Center, Randomized, Crossover Study

OBJECTIVE

We evaluated the safety and efficacy of fully closed-loop with ultrarapid insulin lispro in adults with type 1 diabetes and suboptimal glycemic control compared with insulin pump therapy with continuous glucose monitoring (CGM).

RESEARCH DESIGN AND METHODS

This single-center, randomized, crossover study enrolled 26 adults with type 1 diabetes using insulin pump therapy with suboptimal glycemic control (mean ± SD, age 41 ± 12 years, HbA1c 9.2 ± 1.1% [77 ± 12 mmol/mol]). Participants underwent two 8-week periods of unrestricted living to compare fully closed-loop with ultrarapid insulin lispro (CamAPS HX system) with insulin pump therapy with CGM in random order.

RESULTS

In an intention-to-treat analysis, the proportion of time glucose was in range (primary end point 3.9-10.0 mmol/L) was higher during closed-loop than during pump with CGM (mean ± SD 50.0 ± 9.6% vs. 36.2 ± 12.2%, mean difference 13.2 percentage points [95% CI 9.5, 16.9], P < 0.001). Time with glucose >10.0 mmol/L and mean glucose were lower during closed-loop than during pump with CGM (mean ± SD time >10.0 mmol/L: 49.0 ± 9.9 vs. 62.9 ± 12.6%, mean difference -13.3 percentage points [95% CI -17.2, -9.5], P < 0.001; mean ± SD glucose 10.7 ± 1.1 vs. 12.0 ± 1.6 mmol/L, mean difference -1.2 mmol/L [95% CI -1.8, -0.7], P < 0.001). The proportion of time with glucose <3.9 mmol/L was similar between periods (median [interquartile range (IQR)] closed-loop 0.88% [0.51-1.55] vs. pump with CGM 0.64% [0.28-1.10], P = 0.102). Total daily insulin requirements did not differ (median [IQR] closed-loop 51.9 units/day [35.7-91.2] vs. pump with CGM 50.7 units/day [34.0-70.0], P = 0.704). No severe hypoglycemia or ketoacidosis occurred.

CONCLUSIONS

Fully closed-loop insulin delivery with CamAPS HX improved glucose control compared with insulin pump therapy with CGM in adults with type 1 diabetes and suboptimal glycemic control.

Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes

OBJECTIVE

Pilot-test personalized digital health information to substantiate human-delivered exercise support for adults with type 1 diabetes (T1D).

DESIGN

Single-group, 2-week baseline observation, then 10-week intervention with follow-up observation.

SETTING

Community-based sample participating remotely with physician oversight.

PARTICIPANTS

Volunteers aged 18 to 65 years with T1D screened for medical readiness for exercise intervention offerings. N = 20 enrolled, and N = 17 completed all outcomes with 88% to 91% biosensor adherence.

INTERVENTION

Feedback on personalized data from continuous glucose monitoring (CGM), its intersection with other ecological data sets (exercise, mood, and sleep), and other informational and motivational elements (exercise videos, text-based exercise coach, and self-monitoring diary).

MAIN OUTCOME MEASURES

Feasibility (use metrics and assessment completion), safety (mild and severe hypoglycemia, and diabetic ketoacidosis), acceptability (system usability scale, single items, and interview themes), and standard clinical and psychosocial assessments.

RESULTS

Participants increased exercise from a median of 0 (Interquartile range, 0-21) to 64 (20-129) minutes per week ( P = 0.001, d = 0.71) with no severe hypoglycemia or ketoacidosis. Body mass index increased (29.5 ± 5.1 to 29.8 ± 5.4 kg/m 2 , P = 0.02, d = 0.57). Highest satisfaction ratings were for CGM use (89%) and data on exercise and its intersection with CGM and sleep (94%). Satisfaction was primarily because of improved exercise management behavioral skills, although derived motivation was transient.

CONCLUSIONS

The intervention was feasible, safe, and acceptable. However, there is a need for more intensive, sustained support. Future interventions should perform analytics upon the digital health information and molecular biomarkers (eg, genomics) to make exercise support tools that are more personalized, automated, and intensive than our present offerings.

Translation and Validation Study of the Hypoglycemia Fear Survey in a Greek Population of Children and Adolescents with Type 1 Diabetes Mellitus and their Parents

The present study attempted to translate and culturally adapt an established research instrument, the Hypoglycemia Fear Survey (HFS) questionnaire, to the Greek population and evaluate its validity and internal consistency so that it can be used for the assessment of hypoglycemia fear in Greek children and adolescents with T1DM and their parents. One hundred Greek children and adolescents with T1DM, 54 males, 6-18 years old, and one of their parents participated in this validation study. The participants completed the translated Greek HFS, which includes one version for children (CHFS) and one for parents (PHFS). Exploratory Factor Analysis (EFA) was used to assess construct validity. Internal consistency was assessed using Cronbach's alpha, and convergent validity was established by estimating the correlation coefficients between the scores of the HFS scales/subscales and the different constructs of the Pediatric Quality of Life Inventory. The CHFS and PHFS exhibited adequate internal consistency for the total score and the Worry subscale, but lower consistency for the Behavior subscale. High test-retest reliability was also shown. We conclude that the Greek version of the HFS is a valid and reliable instrument to assess the fear of hypoglycemia in Greek children and adolescents with T1DM and their parents.

Effect of diabetes technologies on the fear of hypoglycaemia among people living with type 1 diabetes: a systematic review and meta-analysis

Background

Fear of hypoglycaemia (FOH) significantly disrupts the daily management of type 1 diabetes (T1D) and increases the risk of complications. Recent technological advances can improve glucose metrics and reduce hypoglycaemia frequency, yet their impact on FOH is unclear. This systematic review and meta-analysis (SRMA) aimed to synthesize the current literature to understand the impact of diabetes technologies on FOH in T1D.

Methods

In this SRMA, we searched PubMed, Medline, Scopus, and Web of Science from inception up to May 21st, 2023 for studies assessing the effect of using real-time or intermittently scanned continuous glucose monitors (rtCGM or isCGM); insulin pumps (CSII); and their combinations on FOH as the primary outcome, measured using the Hypoglycaemia Fear Survey (HFS; including total, worries [HFS-W], and behaviours [HFS-B] scores), in non-pregnant adults with T1D. Data was extracted by the first and second authors. Results were pooled using a random-effects model based on study design (RCT and non-RCT), with subgroup analysis based on the type of technology, reported change in hypoglycaemia frequency, and duration of use. Risk of bias was evaluated with Cochrane and Joanna Briggs Institute tools. This study is registered with PROSPERO, CRD42021253618.

Findings

A total of 51 studies (n = 8966) were included, 22 of which were RCTs. Studies on rtCGM and CSII reported lower FOH levels with ≥8 weeks of use. Studies on CSII and rtCGM combinations reported lower FOH levels after ≥13 weeks of automated insulin delivery (AID) use or 26 weeks of sensor-augmented pump (SAP) use. The meta-analysis showed an overall lower FOH with technologies, specifically for the HFS-W subscale. The RCT meta-analysis showed lower HFS-W scores with rtCGM use (standard mean difference [95%CI]: -0.14 [-0.23, -0.05], I2 = 0%) and AID (-0.17 [-0.33, -0.01], I2 = 0%). Results from non-RCT studies show that SAP users (-0.33 [-0.38, -0.27], I2 = 0%) and rtCGM users (-0.38 [-0.61, -0.14], I2 = 0%) had lower HFS-W.

Interpretation

We found consistent, yet small to moderate, effects supporting that diabetes technologies (specifically rtCGM, SAP, and AID) may reduce hypoglycaemia-related worries in adults with T1D. Current literature, however, has limitations including discrepancies in baseline characteristics and limited, mainly descriptive, statistical analysis. Thus, future studies should assess FOH as a primary outcome, use validated surveys, and appropriate statistical analysis to evaluate the clinical impacts of technology use beyond just glucose metrics.

Funding

Canadian Institutes of Health Research, Juvenile Diabetes Research Foundation Ltd.

Emerging Adult and Caregiver Psychosocial Experiences with Severe Hypoglycemic Events and the Perceived Impact of Nasal Glucagon: A Cross-Sectional Study

INTRODUCTION

Severe hypoglycemic events are distressing. Although past studies have shown that young adulthood is a potentially distressing time, few studies have explored distress about severe hypoglycemia in this age group. The real-world psychosocial experiences of potential severe hypoglycemic events and the perceived impact of glucagon treatments like nasal glucagon are currently unknown. We explored perceptions of severe hypoglycemic events and impact of nasal glucagon on psychosocial experiences with these events in emerging adults with type 1 diabetes and caregivers of emerging adults and children/teens. Further, we compared perceptions of preparedness and protection in handling severe hypoglycemic events with nasal glucagon versus the emergency glucagon kit that requires reconstitution (e-kit).

METHODS

This observational, cross-sectional study enrolled emerging adults (aged 18-26; N = 364) with type 1 diabetes, caregivers of emerging adults (aged 18-26; N = 138) with type 1 diabetes, and caregivers of children/teens (aged 4-17; N = 315) with type 1 diabetes. Participants completed an online survey about their experiences with severe hypoglycemia, perceptions of nasal glucagon impact on psychosocial experiences, and perceptions of feeling prepared and protected with nasal glucagon and the e-kit.

RESULTS

Many emerging adults (63.7%) agreed that the experience of severe hypoglycemic events was distressing; 33.3% and 46.7% of caregivers of emerging adults and children/teens, respectively, reported distress. Participants reported positive perceptions of nasal glucagon impact, particularly improved confidence in other people's ability to help during severe hypoglycemic events: emerging adults, 81.4%; caregivers of emerging adults, 77.6%; caregivers of children/teens, 75.5%. Participants demonstrated higher perceptions of preparedness and protection for nasal glucagon than for the e-kit (p < 0.001).

CONCLUSIONS

Participants reported improved confidence in other people's ability to help during severe hypoglycemic events since having nasal glucagon available. This suggests that nasal glucagon may help broaden the support network for young people with type 1 diabetes and their caregivers.

Rebound Hypoglycemia and Hyperglycemia in Type 1 Diabetes

AIMS

The aim was to investigate rebound hypoglycemic and hyperglycemic events, and describe their relation to other glycemic metrics.

METHODS

Data from intermittently scanned continuous glucose monitoring were downloaded for 90 days for 159 persons with type 1 diabetes. A hypoglycemic event was defined as glucose <3.9 mmol/l for at least two 15-minute periods. Rebound hypoglycemia (Rhypo) was a hypoglycemic event preceded by glucose >10.0 mmol/l within 120 minutes and rebound hyperglycemia (Rhyper) was hypoglycemia followed by glucose >10.0 mmol/l within 120 minutes.

RESULTS

A total of 10 977 hypoglycemic events were identified of which 3232 (29%) were Rhypo and 3653 (33%) were Rhyper, corresponding to a median frequency of 10.1, 2.5, and 3.0 events per person/14 days. For 1267 (12%) of the cases, Rhypo and Rhyper coexisted. The mean peak glucose was 13.0 ± 1.6 mmol/l before Rhypo; 12.8 ± 1.1 mmol/l in Rhyper. The frequency of Rhyper was significantly (P < .001) correlated with Rhypo (Spearman's rho 0.84), glucose coefficient of variation (0.78), and time below range (0.69) but not with time above range (0.12, P = .13).

CONCLUSIONS

The strong correlation between Rhyper and Rhypo suggests an individual behavioral characteristic toward intensive correction of glucose excursions.

Where to Start? Physical Assessment, Readiness, and Exercise Recommendations for People With Type 1 or Type 2 Diabetes

Exercise plays an important role in the management of diabetes and is associated with many benefits such as decreased morbidity and mortality. For people exhibiting signs and symptoms of cardiovascular disease, pre-exercise medical clearance is warranted; however, requiring broad screening requirements can lead to unnecessary barriers to initiating an exercise program. Robust evidence supports the promotion of both aerobic and resistance training, with evidence emerging on the importance of reducing sedentary time. For people with type 1 diabetes, there are special considerations, including hypoglycemia risk and prevention, exercise timing (including prandial status), and differences in glycemic responses based on biological sex.

Is fear of hypoglycemia a major barrier to an active lifestyle in children and adolescents with type 1 diabetes? The Diactive-1 Study

Studies on fear of hypoglycemia as a barrier to physical activity among youth with type 1 diabetes (T1D) have been limited and controversial, most of which used self-reported assessment. The aim of the study was to evaluate the relationship between fear of hypoglycemia and physical activity and glycemic metrics in children and adolescents with T1D. Seventy-four participants (6-18 years of age; 44.6% females) with T1D were included in the study. Physical activity was assessed through accelerometry on nine consecutive days, and blood glucose metrics were simultaneously tracked using continuous glucose monitoring (time-in-range and hypoglycemic events). A closed question was used to evaluate the avoidance of physical activity due to fear of hypoglycemia. Fifteen participants (20%) reported avoiding physical activity due to fear of hypoglycemia. The group reporting no fear of hypoglycemia showed lower total physical activity (-35.33 min/day, 95% confidence interval [CI] (-77.57 to -1.47)) and light physical activity (-29.81 min/day, 95% CI -64.01 to -2.75) and higher sedentary time (77.95 min/day, 95% CI 26.46-136.87) per day compared with those with fear of hypoglycemia. No difference was found between those patients with fear of hypoglycemia in terms of meeting the recommendations of glycated hemoglobin, glucose coefficient of variation, and time-in-range when compared to those with no fear of hypoglycemia. In conclusion, children and adolescents with fear of hypoglycemia were more active, less sedentary, and had similar glycemic metrics to those without fear. Our results therefore suggest that fear of hypoglycemia may be less of a barrier to an active lifestyle than previously believed.

Hypoglycemia and glycemic variability of people with type 1 diabetes with lower and higher physical activity loads in free-living conditions using continuous subcutaneous insulin infusion with predictive low-glucose suspend system

INTRODUCTION

Maintaining glycemic control during and after physical activity (PA) is a major challenge in type 1 diabetes (T1D). This study compared the glycemic variability and exercise-related diabetic management strategies of adults with T1D achieving higher and lower PA loads in nighttime-daytime and active- sedentary behavior hours in free-living conditions.

RESEARCH DESIGN AND METHODS

Active adults (n=28) with T1D (ages: 35±10 years; diabetes duration: 21±11 years; body mass index: 24.8±3.4 kg/m²; glycated hemoglobin A1c: 6.9±0.6%) on continuous subcutaneous insulin delivery system with predictive low glucose suspend system and glucose monitoring, performed different types, duration and intensity of PA under free-living conditions, tracked by accelerometer over 14 days. Participants were equally divided into lower load (LL) and higher load (HL) by median of daily counts per minute (61122). Glycemic variability was studied monitoring predefined time in glycemic ranges (time in range (TIR), time above range (TAR) and time below range (TBR)), coefficient of variation (CV) and mean amplitude of glycemic excursions (MAGE). Parameters were studied in defined hours timeframes (nighttime-daytime and active-sedentary behavior). Self-reported diabetes management strategies were analysed during and post-PA.

RESULTS

Higher glycemic variability (CV) was observed in sedentary hours compared with active hours in the LL group (p≤0.05). HL group showed an increment in glycemic variability (MAGE) during nighttime versus daytime (p≤0.05). There were no differences in TIR and TAR across all timeframes between HL and LL groups. The HL group had significantly more TBR during night hours than the LL group (p≤0.05). Both groups showed TBR above recommended values. All participants used fewer post-PA management strategies than during PA (p≤0.05).

CONCLUSION

Active people with T1D are able to maintain glycemic variability, TIR and TAR within recommended values regardless of PA loads. However, the high prevalence of TBR and the less use of post-PA management strategies highlights the potential need to increase awareness on actions to avoid glycemic excursions and hypoglycemia after exercise completion.

Effect of perceived stress, concern about hypoglycaemia and level of knowledge of management of the disease on glycaemic control in type 1 diabetes mellitus

AIMS AND OBJECTIVES

To evaluate perceived stress, concern about hypoglycaemia and the level of knowledge of management of the disease in patients with type 1 diabetes mellitus and their relationship with glycaemic control, gender and age.

BACKGROUND

Perceived stress and concern about hypoglycaemia are significant obstacles to achieving adequate glycaemic control in patients with type 1 diabetes mellitus, and notably influence management of the disease itself.

MATERIAL AND METHODS

A cross-sectional study was carried out in 193 adult patients with type 1 diabetes mellitus. Study quality was scored using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cohort studies. Glycaemic control was evaluated by number and type of hypoglycaemic event and glycosylated haemoglobin. Questionnaires about hypoglycaemia concern (HFS II), perceived stress (PSS), unrecognised hypoglycaemia (Clarke Test) and level of knowledge of the disease were completed.

RESULTS

Perceived stress was significantly associated with glycosylated haemoglobin (p < 0.001) and concern about hypoglycaemia (p < 0.037). With respect to level of knowledge, we observed that an advanced level was associated with lower glycosylated haemoglobin (p < 0.001), number (p < 0.001) and type (p < 0.001) of hypoglycaemic episode, and less perceived stress (p = 0.006). In addition, age was negatively correlated with perceived stress (p < 0.030) and positively correlated with the number of unrecognised hypoglycaemic episodes (p < 0.002), which was associated, in turn, with a higher number of daily glycaemia tests (p < 0.037) and concern about hypoglycaemia (p < 0.006).

CONCLUSION

In type 1 diabetes mellitus, perceived stress can negatively influence glycaemic control and concern about hypoglycaemia, and level of knowledge about the condition has a bearing on glycosylated haemoglobin levels, perceived stress and number and type of hypoglycaemic events. In addition, higher age is associated with more frequent unrecognised hypoglycaemic events.

RELEVANCE TO CLINICAL PRACTICE

It is essential to identify and address the psychological needs of patients with type 1 diabetes mellitus with the aim of achieving an adequate management of the disease itself and generating a change in future intervention strategies.

Validation and Cross-Cultural Adaptation of the Diabetes Self-Management Questionnaire (DSMQ) and the Social Phobia Inventory (SPIN) in Romanian Patients with Diabetes Mellitus

Background and Objectives: Anxiety disorders are common in individuals with diabetes mellitus (DM) and have a negative impact on diabetes-related self-management and, therefore, on patients’ evolution and prognosis. In this context, it becomes necessary to accurately and easily assess anxiety and self-management behaviours. Thus, the aim of this research was translation and cultural adaptation for Romanian patients and validation of two instruments used for assessing diabetes self-management and anxiety, namely the Diabetes Self-Management Questionnaire (DSMQ) and the Social Phobia Inventory (SPIN). Materials and Methods: The Summary of Diabetes Self-Care Activities Questionnaire (SDSCA) and the DSMQ instruments for assessing diabetes self-management, as well as the Generalised Anxiety Disorder Scale (GAD-7) and the SPIN instruments for assessing anxiety, have been administered to 117 patients from Timisoara, Romania, previously diagnosed with DM. Results: The SPIN has proven to have good internal consistency, excellent acceptability of its questions without non-responders and a median completion time of 3 min and 10 s, an excellent test−retest performance (Spearman’s rho = 0.971, p < 0.001 between two administrations of the test) and good validity in comparison with the GAD-7, a previously validated and comprehensive instrument. The DSMQ has also proven to have acceptable internal consistency, excellent acceptability of its questions without non-responders and a median completion time of 2 min and 28 s; however, it has shown a weak, positive correlation without statistical significance in comparison with the SDSCA, a previously validated questionnaire. Conclusions: The SPIN, translated in Romanian and culturally adapted, is a valid tool for the screening of social phobias in individuals with DM. The DSMQ requires additional data for its validation in DM patients from Romania.

"It's embarrassing. I get angry. I get frustrated.": Understanding severe hypoglycemia and glucagon usage from the perspectives of people with type 1 diabetes

Introduction

This study characterized the emotional impact of severe hypoglycemia, views of glucagon, and barriers to glucagon use from the perspective of adults with type 1 diabetes (T1D).

Methods

Participants included individuals recruited from the T1D Exchange online community. The current study conducted 7 focus groups consisting of adults with T1D (N = 38, average age 49.4, SD = 16.11 years). Average duration of diabetes was 34.4 years (SD = 17.3) and average self-reported A1c was 6.8 % (SD = 0.7). Focus group interviews were recorded, transcribed, and thematically analyzed.

Results

A range of emotions was expressed about severe hypoglycemia including fear, anxiety, stress, frustration, shame, and embarrassment. Participants frequently identified prescription cost and insurance deductibles as barriers to glucagon use. Participants were also concerned about ease of administration-how difficult it is to prepare the glucagon in an emergency. Many participants expressed a preference for auto-injectables over nasal administration. Timing of glucagon action and time to recovery were high priorities. Some participants, while they had not self-administered glucagon, were interested in a mini-dose glucagon they could self-administer. They also identified desirable characteristics of glucagon treatment including reduced cost, long shelf-life, and quick activation.

Conclusions

These results highlight the attitudes about severe hypoglycemia and emergency treatment with glucagon. Healthcare professionals should assess glucagon training needs and knowledge when they meet with their patients with diabetes.

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals

Non-coordinated physical activity may lead to hypoglycemia, which is a dangerous condition for diabetic people. Decision support systems related to type 1 diabetes mellitus (T1DM) still lack the capability of automated therapy modification by recognizing and categorizing the physical activity. Further, this desired adaptive therapy should be achieved without increasing the administrative load, which is already high for the diabetic community. These requirements can be satisfied by using artificial intelligence-based solutions, signals collected by wearable devices, and relying on the already available data sources, such as continuous glucose monitoring systems. In this work, we focus on the detection of physical activity by using a continuous glucose monitoring system and a wearable sensor providing the heart rate-the latter is accessible even in the cheapest wearables. Our results show that the detection of physical activity is possible based on these data sources, even if only low-complexity artificial intelligence models are deployed. In general, our models achieved approximately 90% accuracy in the detection of physical activity.

Effectiveness of a flash glucose monitoring systems implementation program through a group and telematic educational intervention in adults with type 1 diabetes

OBJECTIVES

Verifying the clinical effectiveness and the impact on quality-of-life parameters, fear of hypoglycaemia and satisfaction with the treatment obtained with a flash glucose monitoring (MFG) devices implantation program that includes a telematic and group educational intervention in adults with type 1 diabetes.

PATIENTS AND METHODS

Prospective quasi-experimental study, carried out during the COVID-19 pandemic period with a 9-month follow-up at the Virgen Macarena University Hospital, Sevilla.

RESULTS

Eighty-eight participants were included (men: 46.6%; mean age (years) 38.08, SD: 9.38); years of DM1 evolution: 18.4 (SD: 10.49); treatment with multiple doses insulin (MDI) 70.5% vs 29.5% subcutaneous insulin infusion therapy (CSII)). Baseline HbA1c was 7.74% (1.08). After the intervention, the global decrease in HbA1c was -0.45% (95% CI [-0.6, -0.25], P < 0.01), increasing to -1.08% in the group that started with HbA1c ≥ 8% (P < 0.01). A mean decrease in the Fear of Hypoglycemia 15 (FH15) test score of -6.5 points was observed (P < 0.01). In the global score of the Spanish version of Diabetes Quality Of Life (DQOL-s) test, the decrease was -8.44 points (P < 0.01). In Diabetes Treatment Satisfaction Questionnaire test (DTQ-s), global score increased in + 4 points (P < 0.01).

CONCLUSIONS

The incorporation of an educational program in group and telematic format within the development of MFG devices implantation strategies is an effective option, with associated benefits in quality of life and fear of hypoglycemia in adult patients with DM1. This option can be implemented in usual clinical practice.

Are nocturnal hypoglycemia prevention strategies influenced by diabetes technology usage? A BETTER registry analysis

AIM

To assess the association of nocturnal hypoglycemia prevention strategies (NH-PS) and diabetes technology usage (insulin pump and/or continuous glucose monitors [CGM]) in people with type 1 diabetes (PWT1D).

METHODS

Logistic regression models were used to describe associations between self-reported NH-PS and diabetes technology (pump with intermittently-scanned or real-time CGM (isCGM or rtCGM), or automated insulin delivery (AID)), hypoglycemia history, and fear of hypoglycemia (FOH).

RESULTS

Among 831 adults (65 % female, aged 44 ± 15 years, T1D duration 26 ± 15 years), 32 % reported HbA1c ≤ 7.0 %, 88 % used ≥ 1 diabetes technology, 66 % reported ≥ 1 symptomatic NH in the past month, and 64 % used ≥ 2 NH-PS. Compared to multiple daily injections (MDI) + capillary blood glucose (CBG), bedtime snack consumption was less likely among pump + isCGM (OR [95 %CI]: 0.55 [0.31, 0.98]), pump + rtCGM (0.40 [0.20, 0.81]), and AID (0.34 [0.17, 0.66]) users, while evening insulin basal reduction was associated with CSII + CBG (3.15 [1.25, 7.99]), pump + isCGM 4.00 [1.99, 8.01]), and pump + rtCGM 2.89 [1.28, 6.50] use. Elevated FOH was associated with snack consumption (1.37 [1.00, 1.89]), evening bolus insulin avoidance (1.77 [1.11, 2.83]), limiting exercise (2.50 [1.30, 4.82]), and limiting alcohol consumption (2.33 [1.15, 4.70]) as NH-PS.

CONCLUSION

Technology use and elevated FOH might influence PWT1D' choice of NH-PS.

Comparison Between Continuous Versus Flash Glucose Monitoring in Children, Adolescents, and Young Adults with Type 1 Diabetes: An 8-Week Prospective Randomized Trial

INTRODUCTION

To assess the impact of real-time continuous glucose monitoring (RT-CGM) instead of first-generation flash glucose monitoring (FGM) on hypoglycaemia in children and adolescents with type 1 diabetes.

METHODS

In this randomized controlled interventional study, young individuals with type 1 diabetes used RT-CGM or FGM for 8 weeks. We evaluated changes in time below range (TBR), severe hypoglycaemia (SH), HbA1c, glycaemic variability, and impaired awareness of hypoglycaemia with RT-CGM (intervention group) in comparison with FGM.

RESULTS

We randomly assigned 37 participants to either the intervention group (n = 19) or the control group (n = 18). At 8 weeks, we did not find a decrease in TBR in either group, but there was a significant reduction in SH in the intervention group. For participants with TBR ≥ 5% at baseline, we observed significant reductions in 24-h TBR, wake TBR, sleep TBR, and glucose variability at 8 weeks in the intervention group.

CONCLUSIONS

The use of RT-CGM versus FGM decreased SH in young individuals with type 1 diabetes, and TBR and glucose variability in patients with a higher TBR at baseline. The patient's history should be taken into account when advising on the method of blood glucose monitoring, as RT-CGM could be more effective in younger patients at high risk for SH.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04249102.

Fear of hypoglycemia-An underestimated problem

INTRODUCTION

Fear of hypoglycemia (FOH) is a phenomenon that affects people with diabetes experiencing hypoglycemia. On the one hand, FOH is an adaptive mechanism that helps to protect patients from hypoglycemia and its consequences. On the other hand, the non-normative level of FOH causes anxiety and tension, disturbs normal functioning, and makes normoglycemia maintenance difficult.

OBJECTIVE

The main objective of this review was to describe factors influencing FOH and methods of measurement of FOH levels. Moreover, we highlighted the impact of the new technologies used in diabetes therapy on FOH and different therapeutic possibilities helping patients cope with excessive levels of FOH. We also presented clinical cases of patients with high FOH levels met in clinical practice and discussed methods to better diagnose and assist people with this kind of problem.

METHODS

We searched for studies and articles via PubMed using the keywords fear of hypoglycemia, diabetes, and hypoglycemia. From screened documents identified from literature search, 67 articles were included in our review.

RESULTS

We divided results from literature screening into five parts: fear of hypoglycemia and hypoglycemia definition, risk factors for the FOH, methods of measuring levels of FOH, therapies for the FOH, and modern technologies. We also described clinical examples of abnormal fear of hypoglycemia in patients.

CONCLUSION

The review highlights the importance of taking into consideration fear of hypoglycemia phenomenon in diabetic patients in everyday clinical practice.

Maximal Oxygen Uptake, VO2 Max, Testing Effect on Blood Glucose Level in Adolescents with Type 1 Diabetes Mellitus

Assessing maximal oxygen uptake (VO2 max) is generally considered safe when performed properly for most adolescents; however, for adolescents with type 1 diabetes mellitus (T1DM), monitoring glucose levels before and after exercise is critical to maintaining euglycemic ranges. Limited guidance exists for glucose level recommendations for the pediatric population; therefore, the purpose of this retrospective clinical chart review study was to determine the effects of VO2 max testing on blood glucose levels for adolescents with T1DM. A total of 22 adolescents (mean age = 15.6 ± 1.8 years; male = 13, 59.1%) with a diagnosis of T1DM participated in a Bruce protocol for VO2 max from January 2019 through February 2020. A statistically significant reduction in glucose levels between pretest (<30 min, mean = 191.1 mg/dL ± 61.2) and post-test VO2 max (<5 min, mean = 166.7 mg/dL ± 57.9); t(21) = 2.3, p < 0.05) was detected. The results from this current study can help guide health and fitness professionals in formulating glycemic management strategies in preparatory activities prior to exercise testing and during exercise testing.

Higher scanning frequency is correlated with less fear of hypoglycemia in type 1 diabetes patients using isCGM

BACKGROUND

Frequent scanning of intermittently scanned continuous glucose monitoring (isCGM) devices is associated with improvements in glycemic indices. Limited data is available for its correlation with fear of hypoglycemia (FOH), an established factor affecting quality of life and glycemic control in type 1 diabetes (T1DM).

AIM

The aim of the study was to analyze the association of sensor scanning frequency with FOH and glycemic indices in T1DM patients using isCGM.

SUBJECTS AND METHODS

T1DM patients using isCGM were eligible. Clinical data and Ambulatory Glucose Profile (AGP) reports were obtained from medical records. At outpatient visits, AGP of last 14 days prior to visit were analyzed and FOH was assessed using Hypoglycemia Fear Survey II (HFS II).

RESULTS

We included 77 consecutive T1DM patients (58 females, 19 males). Mean age was 34.1 ± 10.2 years and mean T1DM duration was 14.7 ± 12.0 years. Baseline mean glycemic indices were as follows: mean glucose - 155.8 ± 29.8 mg/dL; GMI - 53.3 ± 7.5 mmol/mol; TIR - 66.4 ± 17.8%; TBR70 - 4.5 ± 4.1%; TBR54 - 0.6 ± 1.2%; TAR180 - 29.2 ± 17.9%; TAR250 - 9.6 ± 10.4%; %CV - 36.7 ± 8.3. Average scanning frequency was 13.8 ± 7.8 scans/day. Mean HFS II scores were 16.1 ± 7.2 and 18.7 ± 12.2 in behavior and worry subscale, respectively. Correlation was confirmed between scanning frequency and mean glucose, GMI, TIR, TBR70, TAR180, TAR250, %CV and HFS II total, and HFS II - B (p<0.05 for all statistics).

CONCLUSIONS

For the first time, we report that higher scanning frequency is associated not only with better glycemic indices but also with less FOH in T1DM adult patients using isCGM.

Cross-Sectional and Individual Relationships between Physical Activity and Glycemic Variability

Introduction/Purpose

Overweight or obese adults spend more time sedentary and less time performing physical activity (PA) and are at an increased risk for developing impaired glycemic health. Free-living environments may provide insight into glycemic health in addition to clinical assessments. The purpose of this study was to examine the relationship between PA and glycemic health assessed by continuous glucose monitoring (CGM).

Methods

Twenty-eight overweight or obese adults each wore an accelerometer and CGM over the same 7 consecutive days. Average daily time (minutes and metabolic-equivalent minutes (MET-minutes)) and associated energy expenditure performing light (LPA), moderate-to-vigorous (MVPA), total PA, and standard deviation (SD) across days were calculated. Average daily 24-h and waking glycemia, mean glucose concentration, glycemic variability measured as the continuous overlapping net glycemic action, mean amplitude of glycemic excursions, and mean of daily difference were assessed.

Results

LPA MET-minutes per day was positively associated with 24-h and waking glycemia time-in-range and negatively associated with 24-h and waking time in hyperglycemia. Total PA time and the SD of MVPA and total PA time were negatively associated with 24-h mean glucose concentration. Individual-level analysis identified that most participants (50%-71%) expressed negative associations between LPA and MVPA time with 24-h mean glucose concentration, mean amplitude of glycemic excursion, and 4-h continuous overlapping net glycemic action.

Conclusions

Expectedly, greater total PA time and intensity-specific PA time were associated with lower 24-h and waking mean glucose concentration, greater glycemia time-in-range, and less time in hyperglycemia. The relationship between glucose concentrations and PA time SD was unexpected, whereas most participants expressed hypothesized relationships, which necessitates further exploration.

Psychometric Properties of the Hypoglycemia Fear Survey in a Clinical Sample of Adolescents with Type 1 Diabetes and Their Caregivers

OBJECTIVE

A previously published exploratory factor analysis suggested that the Hypoglycemia Fear Survey-Child and Parent Versions, is comprised of three subscales: Maintain High Blood Glucose, Helplessness/Worry About Low Blood Glucose, and Worry About Negative Social Consequences. The primary aim of this study was to confirm this three-factor model with a clinical population of adolescents with type 1 diabetes (T1D) and their caregivers.

METHODS

Participants included N = 1,035 youth ages 10-17.99 years with T1D, and their female (N = 835) and/or male (N = 326) caregivers who completed the Hypoglycemia Fear Survey independently during a routine medical appointment. We conducted confirmatory factor analysis and examined reliability of the Hypoglycemia Fear Survey and its associations with demographics and clinical outcomes (e.g., mean blood glucose, glycemic control).

RESULTS

Confirmatory factor analysis supported the three-factor model in youth and female and male caregivers. The internal consistencies for Maintain High Blood Glucose, Helplessness/Worry About Low Blood Glucose, and Worry About Negative Social Consequences were acceptable. The majority of demographic and clinical outcome variables correlated as hypothesized with the three subscales.

CONCLUSIONS

Using a large clinical sample of adolescents with T1D and their caretakers, we confirmed the three-factor model for the Hypoglycemia Fear Survey, which is sufficiently reliable to be used in a clinical setting. Important areas of future research include examining moderators for the effect of fear of hypoglycemia on clinical outcomes, and possible inclusion of items related to modern diabetes devices.

Youth and Parent Perspectives on the Acceptability of a Group Physical Activity and Coping Intervention for Adolescents With Type 1 Diabetes

PURPOSE

To examine youth and parent perspectives on the acceptability of Bright 1 Bodies, a group physical activity and coping intervention for adolescents with type 1 diabetes mellitus (T1DM).

METHODS

Adolescents participated in 12 weekly sessions of moderate to vigorous physical activity and discussion with peers with T1DM. Adolescents completed an exit survey measuring satisfaction with the intervention on a 5-point Likert scale. Semistructured interviews were conducted with adolescents and at least one parent. Qualitative description was used to develop themes that summarize the acceptability of the intervention.

RESULTS

Mean scores for survey subscales were: 4.5 (SD = 0.39) for program components and strategies, 4.4 (SD = 0.44) for comfort with the intervention, and 4.3 (SD = 0.62) for instructors. Themes included: (1) adolescents and parents valued being around others with T1DM and their families, (2) the intervention helped adolescents gain knowledge and reinforce diabetes self-management behaviors, (3) challenges included convenience and sustaining participant engagement, and (4) adolescents intended to sustain physical activity and diabetes self-management behaviors after the intervention.

CONCLUSIONS

Adolescents and parents viewed the intervention as acceptable across multiple domains. Participants valued the group aspect of the intervention, and future interventions would benefit from integrating social interactions with others with T1DM.

Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes

Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.

Physical Activity, Dietary Patterns, and Glycemic Management in Active Individuals with Type 1 Diabetes: An Online Survey

Individuals with type 1 diabetes (T1D) are able to balance their blood glucose levels while engaging in a wide variety of physical activities and sports. However, insulin use forces them to contend with many daily training and performance challenges involved with fine-tuning medication dosing, physical activity levels, and dietary patterns to optimize their participation and performance. The aim of this study was to ascertain which variables related to the diabetes management of physically active individuals with T1D have the greatest impact on overall blood glucose levels (reported as A1C) in a real-world setting. A total of 220 individuals with T1D completed an online survey to self-report information about their glycemic management, physical activity patterns, carbohydrate and dietary intake, use of diabetes technologies, and other variables that impact diabetes management and health. In analyzing many variables affecting glycemic management, the primary significant finding was that A1C values in lower, recommended ranges (<7%) were significantly predicted by a very-low carbohydrate intake dietary pattern, whereas the use of continuous glucose monitoring (CGM) devices had the greatest predictive ability when A1C was above recommended (≥7%). Various aspects of physical activity participation (including type, weekly time, frequency, and intensity) were not significantly associated with A1C for participants in this survey. In conclusion, when individuals with T1D are already physically active, dietary changes and more frequent monitoring of glucose may be most capable of further enhancing glycemic management.

Cardiovascular health in emerging adults with type 1 diabetes

AIMS

Individuals with type 1 diabetes (T1D) face increased risk for cardiovascular disease (CVD). Controlling individual cardiovascular risk factors can prevent or slow the onset of CVD. Ideal cardiovascular health is associated with a lower incidence of CVD. Identifying areas of suboptimal cardiovascular health can help guide CVD prevention interventions. To assess cardiovascular health and explore the barriers and facilitators to achieving ideal cardiovascular health in a sample of young adults with T1D.

METHODS AND RESULTS

We used a sequential mixed-method design to assess the seven factors of cardiovascular health according to American Heart Association. Qualitative interviews, guided by Pender's Health Promotion Model, were used to discuss participant's cardiovascular health results and the barriers and facilitators to achieving ideal cardiovascular health. We assessed the frequency of ideal levels of each factor. The qualitative data were analysed using content analysis. Qualitative and quantitative data were integrated in the final analysis phase. The sample (n = 50) was majority female (70%), White (86%), with a mean age of 22 ± 2.4 and diabetes duration of 10.7 ± 5.5 years. Achievement of the seven factors of cardiovascular health were: non-smoking (96%); cholesterol <200 mg/dL (76%); body mass index <25 kg/m2 (54%); blood pressure <120/<80 mmHg (46%); meeting physical activity guidelines (38%); haemoglobin A1c <7% (40%); and healthy diet (14%). Emerging qualitative themes related to the perceived benefits of action, interpersonal influences on their diabetes self-management, and perceived self-efficacy.

CONCLUSION

We found areas of needed improvement for cardiovascular health. However, these young adults expressed a strong interest in healthy habits which can be supported by their healthcare providers.

Afternoon aerobic and resistance exercise have limited impact on 24-h CGM outcomes in adults with type 1 diabetes: A secondary analysis

AIMS

This study examined post-exercise glycemic variability in individuals with type 1 diabetes after acute bouts of resistance (RE) and aerobic exercise (AE) compared to a no-exercise day (CON). We hypothesized that exercise days would have greater glucose variability (standard deviation - SD, coefficient of variation - CV), and less time in range (TIR), compared to CON.

METHODS

A secondary analysis was conducted on previously collected data. Twelve active participants with type 1 diabetes performed three testing sessions in random order with at least 48 h in between: AE (45-min treadmill run at 60%VO_2max), RE (three sets of eight repetitions, seven weight-lifting exercises), and CON (45-min no-exercise control). Interstitial glucose levels were monitored by blinded continuous glucose monitoring (CGM). Glycemic variability was evaluated for 0-6 h, overnight (00:00-06:00) and 24 h after exercise.

RESULTS

Mean CGM glucose, TIR, and time above/below range were similar among conditions (P > 0.05). Lower SD (0.8 [0.5-1.1], 1.4 [0.9-2.4]mmol/L, p = 0.009) and CV (11.4 [8.6-15.3], 23.4 [13.7-31.6]%, p = 0.007) were found overnight after AE versus CON. Otherwise, AE and RE had limited impact on post-exercise glycemia.

CONCLUSIONS

Acute RE and AE bouts may have limited impact on post-exercise glycemic variability compared to rest in habitually active individuals with type 1 diabetes.

The influence of hypoglycemia on the specific quality of life in type 2 diabetes mellitus: a comparative cross-sectional study of diabetics with and without hypoglycemia in Xi'an, China

Purpose

This study aims to explore the incidence of hypoglycemia in patients with type 2 diabetes mellitus (T2DM) and the influence of hypoglycemia on the specific quality of life in T2DM patients.

Methods

It was a comparative cross-sectional study consisting of 519 T2DM patients in Xi'an, China and patients were investigated by self-reported hypoglycemia and specific quality of life questionnaires from September 2019 to January 2020. Descriptive analysis, t-test, Chi-square test, hierarchical regression analysis and stepwise multiple regression analysis were applied to assess the influence of hypoglycemia on the specific quality of life.

Results

The incidence of hypoglycemia in T2DM patients was 32.18%. The mean score of specific quality of life in diabetes without hypoglycemia was 57.33 ± 15.36 and was 61.56 ± 17.50 in those with hypoglycemia, which indicated that hypoglycemia had a serious impact on the quality of life of diabetics (t = − 5.172, p = 0.000). In the Univariate analysis of specific quality of life, age, education background, marital status, living status, duration of diabetes, monthly income per capita were independent and significant factors associated with specific quality of life of two groups of T2DM patients (p < 0.05). In the hierarchical regression analysis, the duration of the diabetes more than 11 years and the frequency of hypoglycemia more than 6 times in half a year entered the equation of specific quality of life of 519 diabetics respectively (p < 0.001). In multiple linear regression analysis, age, marital status and income all entered the regression equation of quality of life of the two groups (p < 0.05).

Conclusion

Hypoglycemia will have a serious impact on the quality of life of T2DM patients. In order to improve the living quality in diabetics, effective measurements should be taken to strengthen the management of blood glucose and to avoid hypoglycemia.

Fear of hypoglycemia, a game changer during physical activity in type 1 diabetes mellitus patients

Hypoglycemia limits optimal glycemic management of patients with type 1 diabetes mellitus (T1DM). Fear of hypoglycemia (FoH) is a significant psychosocial consequence that negatively impacts the willingness of T1DM patients to engage in and profit from the health benefits of regular physical activity (e.g., cardiometabolic health, improved body composition, cardiovascular fitness, quality of life). Technological advances, improved insulin regimens, and a better understanding of the physiology of various types of exercise could help ameliorate FoH. This narrative review summarizes the available literature on FoH in children and adults and tools to avoid it.

'Smart' insulin-delivery technologies and intrinsic glucose-responsive insulin analogues

Insulin replacement therapy for diabetes mellitus seeks to minimise excursions in blood glucose concentration above or below the therapeutic range (hyper- or hypoglycaemia). To mitigate acute and chronic risks of such excursions, glucose-responsive insulin-delivery technologies have long been sought for clinical application in type 1 and long-standing type 2 diabetes mellitus. Such 'smart' systems or insulin analogues seek to provide hormonal activity proportional to blood glucose levels without external monitoring. This review highlights three broad strategies to co-optimise mean glycaemic control and time in range: (1) coupling of continuous glucose monitoring (CGM) to delivery devices (algorithm-based 'closed-loop' systems); (2) glucose-responsive polymer encapsulation of insulin; and (3) mechanism-based hormone modifications. Innovations span control algorithms for CGM-based insulin-delivery systems, glucose-responsive polymer matrices, bio-inspired design based on insulin's conformational switch mechanism upon insulin receptor engagement, and glucose-responsive modifications of new insulin analogues. In each case, innovations in insulin chemistry and formulation may enhance clinical outcomes. Prospects are discussed for intrinsic glucose-responsive insulin analogues containing a reversible switch (regulating bioavailability or conformation) that can be activated by glucose at high concentrations.

The impact of hypoglycaemia on quality of life outcomes among adults with type 1 diabetes: A systematic review

Hypoglycaemia is a common barrier to optimal glycaemic management and often feared among adults with type 1 diabetes. The aim of this systematic review was to summarize current evidence regarding the impact of hypoglycaemia on quality of life (QoL) and related outcomes. Electronic searches of MEDLINE, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were conducted. Peer-reviewed empirical studies investigating the relationship between hypoglycaemia and QoL were eligible for inclusion. Thirty studies met the inclusion criteria. Extracted data was summarized in a narrative synthesis according to Synthesis Without Meta-Analysis guidelines. None of the studies examined the impact of hypoglycaemia on general QoL. There was no association between hypoglycaemia and diabetes-specific QoL in four of the 30 studies. Severe hypoglycaemia was associated with greater fear of hypoglycaemia and diabetes distress, and lower general emotional well-being, but not with depression, anxiety, or health status. Self-treated hypoglycaemia was associated with greater fear of hypoglycaemia. With the exception of fear of hypoglycaemia, this review shows mixed associations between hypoglycaemia and psychological outcomes. Further research is needed to investigate the impact of hypoglycaemia on other domains of QoL.

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).

Cuidados de enfermería para la persona adulta, diabética con hipoglucemia: revisión integrativa

Introducción: La hipoglucemia es la complicación más frecuente del tratamiento con insulina en adultos. Los eventos de hipoglucemia severa se asocian con complicaciones a corto, mediano y largo plazo en  pacientes con diabetes ellmitus. Una de las estrategias para reducir  la frecuencia de hipoglucemia son las intervenciones de enfermería y  aunque hay pocos estudios que las enuncian de manera explícita, se ha publicado respecto a las necesidades de dichos pacientes, que permiten determinar características definitorias de  diagnósticos enfermeros y a partir de ellos establecer metas e intervenciones enfermeras, para el cuidado de dichos pacientes.  Objetivo: identificar los cuidados de enfermería para prevenir y controlar los eventos de hipoglucemia en pacientes adultos diagnosticados con diabetes mellitus. Metodología: revisión integrativa, se realizó en seis fases: planteamiento de la pregunta PICO; búsqueda en bases de datos y metabuscadores; lectura crítica; análisis, clasificación, validación por nivel de evidencia y grado de recomendación, y presentación de la información. Resultados: la revisión reportó cinco categorías: factores de riesgo y protectores, miedo a la hipoglucemia, atención brindada al paciente, disminución de la hipoglucemia y descripción del impacto de la hipoglucemia en los pacientes. Conclusiones: a partir de las necesidades reportadas en las 5 categorías de los resultados se determinaron características definitorias y factores relacionados que permitieron formular diagnósticos de enfermería y determinar como principales intervenciones: enseñanza del proceso de enfermedad, medicamentos prescritos, entrenamiento de asertividad, manejo de la hipoglicemia, nutricional y de la medicación, mejorar el afrontamiento, enseñanza individual, facilitar el aprendizaje y potenciación de la disposición de aprendizaje.

Nutrition and Obesity in the Pathogenesis of Youth-Onset Type 1 Diabetes and Its Complications

Since the 1980s, there has been a dramatic rise in the prevalence of overweight and obesity in pediatric populations, in large part driven by sedentary lifestyles and changing dietary patterns with more processed foods. In parallel with the rise in pediatric obesity in the general population, the prevalence of overweight and obesity has increased among children and adolescents with type 1 diabetes. Adiposity has been implicated in a variety of mechanisms both potentiating the risk for type 1 diabetes as well as exacerbating long-term complications, particularly cardiovascular disease. Treatment options targeting the unique needs of obese pediatric patients, both before and after diagnosis of type 1 diabetes, are limited. In this review, we discuss the history of the epidemiology of the obesity epidemic in the context of pediatric type 1 diabetes, highlight the possible role of obesity in type 1 diabetes pathogenesis and review the concept of "double diabetes". The impact of obesity at and after diagnosis will be discussed, including noted differences in clinical and biochemical markers, lipid abnormalities, and long-term cardiovascular complications. Finally, we will review the existing literature on pharmacologic and nutritional interventions as potential treatment strategies for youth with coexisting type 1 diabetes and obesity.

Factors associated with social isolation and being homebound among older patients with diabetes: a cross-sectional study

OBJECTIVE

We aimed at investigating factors associated with social isolation and being homebound in older patients with diabetes.

DESIGN

Cross-sectional study.

SETTINGS

Those undergoing outpatient treatments at Ise Red Cross Hospital, Mie Prefecture.

PARTICIPANTS

Patients with diabetes aged ≥65 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

Social isolation was defined as indulging in less than one interaction per week with individuals other than cohabiting family members. We defined homebound as going outside home less than once a day. To identify factors associated with social isolation and being homebound, we performed logistic regression analysis. The dependent variable was social isolation or homebound and independent variables were basic attributes, glycaemic parameters, complications and treatment details.

RESULTS

We analysed 558 cases (320 men and 238 women). Among these, 174 (31.2%) were socially isolated; meanwhile, 87 (15.6%) were homebound. The glycoalbumin/haemoglobin A1c ratio (OR 4.52; 95% CI 1.07 to 19.1; p=0.040) and the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) scores (OR 0.72; 95% CI 0.57 to 0.90; p=0.006) had significant associations with social isolation. TMIG-IC scores (OR 0.78; 95% CI 0.66 to 0.92; p=0.003) and insulin use (OR 4.29; 95% CI 1.14 to 16.1; p=0.031) were associated with being homebound.

CONCLUSION

In older patients with diabetes, glycaemic fluctuations and insulin use are associated with social isolation and being homebound, respectively. In addition, a decline in higher level functional capacity is a common factor associated with social isolation and being homebound. Thus, it is important to pay attention to social isolation and being homebound when a decline in higher level functional capacity, increased glycaemic fluctuations and insulin use in older patients with diabetes are observed.

Association between fear of hypoglycemia and physical activity in youth with type 1 diabetes: The SEARCH for diabetes in youth study

BACKGROUND

Youth with type 1 diabetes (T1D) are encouraged to participate in physical activity (PA). Studies have identified fear of hypoglycemia (FOH) as a barrier to participating in PA.

OBJECTIVES

To examine (a) PA patterns in youth with T1D by age group and (b) the relationship between both parental and youth FOH and youth PA.

METHODS

A cross-sectional analysis from the SEARCH cohort study visit of youth ages 10 to 17 years with T1D (n = 1129) was conducted. Linear regression models estimated the association between self-reported number of days of vigorous PA (VPA) and moderate PA (MPA) and both youth- and parent-reported FOH. Multivariable models were adjusted for age, sex, race, duration of T1D, HbA1c, use of continuous glucose monitoring (CGM), recent severe hypoglycemia, primary insulin regimen, and BMI.

RESULTS

Participants were 52% female, had mean (sd) age 14.4 (4.2) years, diabetes duration 7.5 years (1.8), HbA1c 9.2% (1.7). Older youth were less likely to engage in VPA (P < .01), or sports teams (P < .01), but more likely to engage in MPA (P < .01). Higher youth FOH (behavior subscale) was associated with increased levels of VPA (β (se) 0.30 (0.11), P = .01) but not significantly associated with MPA (P = .06). There was no statistically significant association between parental FOH and youth PA.

CONCLUSIONS

In SEARCH participants with T1D, VPA, and team sports participation declined with age, while MPA increased. We observed that higher scores on the youth FOH behavioral subscale were associated with increased VPA levels, suggesting that FOH may be less of a barrier to PA than previously thought.

Long-term Cost-Effectiveness of Dexcom G6 Real-time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in Patients With Type 1 Diabetes in the U.K

OBJECTIVE

A long-term health economic analysis was performed to establish the cost-effectiveness of real-time continuous glucose monitoring (RT-CGM) (Dexcom G6) versus self-monitoring of blood glucose (SMBG) alone in U.K.-based patients with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

The analysis used the IQVIA CORE Diabetes Model. Clinical input data were sourced from the DIAMOND trial in adults with T1D. Simulations were performed separately in the overall population of patients with baseline HbA_1c ≥7.5% (58 mmol/mol), and a secondary analysis was performed in patients with baseline HbA_1c ≥8.5% (69 mmol/mol). The analysis was performed from the National Health Service health care payer perspective over a lifetime time horizon.

RESULTS

In the overall population, G6 RT-CGM was associated with a mean incremental gain in quality-adjusted life expectancy of 1.49 quality-adjusted life years (QALYs) versus SMBG (mean [SD] 11.47 [2.04] QALYs versus 9.99 [1.84] QALYs). Total mean (SD) lifetime costs were also pounds sterling (GBP) 14,234 higher with RT-CGM (GBP 102,468 [35,681] versus GBP 88,234 [39,027]) resulting in an incremental cost-effectiveness ratio of GBP 9,558 per QALY gained. Sensitivity analyses revealed that the findings were sensitive to changes in the quality-of-life benefit associated with reduced fear of hypoglycemia and avoidance of fingerstick testing as well as the HbA_1c benefit associated with RT-CGM use.

CONCLUSIONS

For U.K.-based T1D patients, the G6 RT-CGM device is associated with significant improvements in clinical outcomes and, over patient lifetimes, is a cost-effective disease management option relative to SMBG on the basis of a willingness-to-pay threshold of GBP 20,000 per QALY gained.