Diabetes-related Distress Research Articles

Prevalence and the association between clinical factors and Diabetes-Related Distress (DRD) with poor glycemic control in patients with type 2 diabetes: A Northern Thai cross-sectional study.

Glycemic control is important to prevent diabetic complications. However, evidence linking factors such as diabetes-related distress (DRD) to poor glycemic outcomes is lacking in Thailand. Therefore, this study aimed to investigate the prevalence and associated factors of poor glycemic control type 2 diabetes. A cross-sectional study was conducted on 127 type 2 diabetic patients between December 2021 and March 2022 at Maharaj Nakorn Chiang Mai Hospital, Thailand. Data collection included demographic data, clinical data (duration of being type 2 diabetes, diabetic treatment modalities, weight, height, blood pressure, FBS, and HbA1c), behavioral data (self-care behavior, physical activity, dietary assessment, smoking, alcohol consumption, and sleep quality), and psycho-social data (depression and DRD). Poor glycemic control was defined as not achieving the target HbA1c based on the 2021 American Diabetes Association (ADA) Guideline. Multivariable logistic regression was used to explore the associations between potential factors including DRD, and poor glycemic control. The prevalence of poor glycemic control in patients with type 2 diabetes was 29.1%. Our analysis revealed that age under 65 years old (OR 6.40, 95% CI 2.07-19.77, p = 0.001), obesity (BMI ≥ 25 kg/m2) (OR 2.96, 95% CI 1.05-8.39, p = 0.041), and DRD (OR 14.20, 95% CI 3.76-53.64, p<0.001) were significantly associated with poor glycemic control. Three dimensions of DRD were associated with poor glycemic control, including emotional distress (OR 4.23, 95% CI 1.51-11.85, p = 0.006), regimen-related distress (OR 6.00, 95% CI 1.88-19.18, p = 0.003), and interpersonal distress (OR 5.25, 95% CI 1.39-20.02, p = 0.015). Age, obesity, and DRD are associated with poor glycemic control. A holistic approach that includes addressing DRD is crucial for improving glycemic outcomes in patients with type 2 diabetes. Further studies in broader populations using a cohort design are recommended.

Reliability and validity of a parent-reported screening tool for disordered eating in children and young people with type 1 diabetes.

There is a high prevalence and complex overlap between type 1 diabetes (T1D) and disordered eating. However, screening for disordered eating in children and young people (CYP) with T1D is not routinely conducted, with reluctance reported by both professionals and parents. This study aimed to validate a parent-reported version of a validated disordered eating screening tool for CYP with T1D (the Diabetes Eating Problems Survey-Revised; DEPS-R). The existing DEPS-R was adapted for parental use. Eighty-nine parents of CYP with T1D aged 11-14 years completed the parent-reported DEPS-R and other questionnaires related to demographics, child eating behaviours and parental well-being. CYP of parents were invited to participate, with 51 CYP completing the validated CYP-reported DEPS-R for comparison. The parent-reported DEPS-R demonstrated good internal consistency (Cronbach's α = 0.89). Moderate to good inter-rater reliability was found between the parent-reported DEPS-R and CYP-reported DEPS-R (ICC 0.746, 95% CI = 0.554-0.855, p < 0.001), indicating good convergent validity. Construct validity with hypothesised variables, including specific eating behaviours, diabetes-related distress, well-being, CYP BMI, gender and parental worry about CYP disordered eating, suggested validity of the measure. However, some hypothesised variables did not significantly correlate with the parent-reported DEPS-R as expected. The parent-reported DEPS-R has demonstrated good reliability and validity, and it may provide clinical benefit by increasing screening and early detection of disordered eating in CYP with T1D. Whilst novel and providing stepped increase in our knowledge, these findings would benefit from further validation (e.g. in a larger sample and responsiveness).

Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis.

Background: e-Health refers to any health care service delivered through the internet or related technologies, to improve quality of life. Despite the increasing use of e-health interventions to manage type 2 diabetes (T2D), there is a lack of evidence about the effectiveness on diabetes distress and depression, which are common issues in those living with T2D. Purpose: To synthesize and determine the effects of e-health interventions on diabetes distress and depression among patients with T2D. Methods: We systematically searched PubMed, Scopus, Cochrane CENTRAL, and Web of Science for randomized controlled trials (RCTs), non-RCTs and observational cohort studies for the effects of e-health interventions on diabetes distress and depression in patients with T2D up to September 14, 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 recommendations were followed. The risk of bias was assessed according to the Risk-of-Bias 2 tool (RCTs), the Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) (non-RCTs) and the National Institute of Health tool (observational). The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) were estimated with the DerSimonian-Laird method through random-effect models. A pooled raw mean difference (MD) meta-analysis was conducted for RCTs comparing the effects of e-health versus control on diabetes distress screening to display the clinical impact. Results: A total of 41 studies (24 RCTs, 14 non-RCTs, and 3 observational) involving 8,667 individuals were included. The pooled SMD for the effect of e-health versus the control group on diabetes distress was -0.14 (95% CI = -0.24 to -0.04; I2 = 23.9%; n = 10 studies), being -0.06 (95% CI = -0.15 to 0.02; I2 = 7.8%; n = 16 studies) for depression. The pooled raw MD on diabetes distress screening showed a reduction of -0.54 points (95% CI = -0.81 to -0.27; I2 = 85.1%; n = 7 studies). Conclusion: e-Health interventions are effective in diminishing diabetes distress among adults with T2D, inducing clinically meaningful reductions.

Counting the Minutes: Perceived Diabetes Mental Load and its Associations With Technology Use and Mental Disorders.

Little is known about mental load in people with diabetes and associations with demographic, clinical, and treatment characteristics, such as the use of diabetes technologies. To explore perceived mental load, 503 adults with diabetes answered the one-item survey "How much time (in minutes) would you spontaneously estimate that you spend each day thinking about your diabetes?" Mental load estimations varied widely within the sample and between subgroups. Perceived mental load was higher in type 1 diabetes than in type 2 diabetes, higher in women than in men and increased with treatment intensity (ie, insulin therapy, technology use) and the number of mental disorders. Further research may explore associations with diabetes-related distress and determine whether (perceived) mental load has relevance in technology use.

Internet-based cognitive-behavioral therapy is effective in reducing depressive symptomatology in type 1 diabetes: results of a randomized controlled trial.

Depression in people with diabetes is associated with poorer health outcomes. Although web programs integrating cognitive-behavioral therapy with diabetes education have shown good results, no similar approach has been implemented in Spain. This aim of this study was to administer an Internet-based cognitive-behavioral therapy program (CBT) for the treatment of mild-moderate depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study) and evaluate the efficacy of this program. A pre-post randomized controlled study was conducted. The sample comprised 65 people with type 1 diabetes and mild-moderate depressive symptoms: 35 treatment group (TG) and 30 control group (CG). The following effects of the nine-session program were analyzed: depression (Beck Depression Inventory Fast Screen, BDI-FS), metabolic variables (glycosilated hemoglobin, HbA1c), and other psychological variables including anxiety (State Trait Anxiety Inventory, STAI), fear of hypoglycemia (Fear of Hypoglycemia Questionnaire, FH-15), distress (Diabetes Distress Questionnaire (DDS), quality of life (Diabetes Quality of Life Questionnaire, DQOL),and treatment adherence (Diabetes Self-Care Inventory-Revised questionnaire, SCI-R). At the end of the treatment program, only 28 people were evaluated (TG=8; CG=20). However, a significant reduction was found in both groups in BDI-FS and STAI-T scores, which was significantly greater in the TG. Significant improvements were also found in the TG in DQOL, FH-15, DDS and SCI-R scores. The percentage change in these variables was also statistically significant in the TG versus the CG. However, no significant results were found in HbA1c. The Internet-based cognitive-behavioral therapy program for the treatment of mild-moderate depressive symptomatology in people with type 1 diabetes (WEB_TDDI1 study) is effective in reducing depressive symptomatology in the sample that completed the study. Positive results are also produced in other variables associated with depression in this population such as diabetes-related distress, trait anxiety, fear of hypoglycemia, quality of life, and adherence to diabetes treatment. Although new studies would be necessary to support the results of this platform, the results obtained are positive and support the use of this platform as an appropriate treatment for this population. ClinicalTrials.gov; identifier NCT03473704.

Association between diabetes distress and sociodemographic and/or socioeconomic factors among adults: A cross-sectional study

Diabetes-related distress (DRD) is a psychological syndrome with worsened prognosis in uncontrolled diabetic patients. The current study aimed to assess the factors contributing to DRD among the Lebanese population using the Diabetes Distress Scale (DDS-17) score and its sub-scores. A cross-sectional analysis was conducted between March and September 2021 enrolling. 125 diabetic from six Lebanese governorates through an online survey. The survey included two parts: the first section gathered sociodemographic data sociodemographic and socioeconomic data and the second one focused on assessing the Diabetes Distress Scale (DDS-17) score. Participants 30 years old and above had higher emotional distress compared to younger patients, (65.2 % versus 45.5 %). Those with a primary educational level showed significantly higher emotional distress than those with a secondary and tertiary level of education (72.5 %, versus 66.7 % and 46.4 %). Participants who were treated with both insulin and non-insulin medications or had a diastolic blood pressure of more than 90 mmHg showed significantly moderate to high distress (63.6 % or 53.8 %). Participants who lived in rural areas showed higher distress (35.6 %). Obese and overweight had significant moderate to high distress (64.1 %, and 48.0 %). The same results were found in non-married (divorced or widowed) and married participants (76.9 % and 51.3 %). The association between medical history with total distress showed that participants with glycemic store HbA1c of more than 6.5 followed by those who had HbA1c between 5.7 and 6.4 showed moderate to high total distress (45.9 % and 40.0 %). It is concluded that the prevalence of DRD is high in Lebanon, more common among rural residents, and among participants high HbA1c, low educational level, unmarried and on complex treatment regimens. Screening for DRD and providing better support can optimize clinical outcomes.

Relationship Between Genetic Variant Of OXTR (Rs53576) And MTNR1B (Rs1387153) And Symptoms Of Psychological Stress In Females With Gestational Diabetes Mellitus.

To assess the association of oxytocin receptor (rs53576) and melatonin hormone receptor 1B (rs1387153) gene single nucleotide polymorphisms with psychological symptoms in women with gestational diabetes mellitus. The case-control study was conducted from May 1 to June 1, 2022, at the Department of Physiology, University of Karachi, in collaboration with the Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, and the Department of Obstetrics and Gynaecology, Jinnah Postgraduate Medical Centre, Karachi. Fifty gestational diabetic pregnant women and ninety healthy pregnant women were recruited. Sanger sequencing was performed to assess the genotypic frequency and polymorphic variation of all subjects. Perceived stress scale and diabetes-related distress scale were used to assess the stress levels. Data was analysed using SPSS 23. Of the 140 subjects, 90 (64.3%) were controls with mean age 24.96±4.35 years, and 50 (35.7%) were cases with mean age 28.78±5.25 (p<0.05). Mean body weight and mean gestational age were not significantly different between the groups (p>0.05). Melatonin hormone receptor 1B rs1387153 frequency was significantly different between the groups (p<0.05). Among the cases, a significant mean difference for regimen distress scores between AA and GG was observed for oxytocin receptor rs53576 (p=0.04). A significant mean difference in sum of PSS, diabetes-related stress, total diabetes- related stress and emotional distress was noted between CC and TT genotypes for melatonin hormone receptor 1B rs1387153 (p=0.001). MTNR1B rs1387153 genotypes were associated with perceived stress, diabetes-related stress, diabetic distress, and emotional burden, while OXTR rs53576 genotypes were associated with regimen distress in GDM women.

Diabetes self-care behaviours among people diagnosed with serious mental illness: A cross-sectional correlational study.

WHAT IS KNOWN ON THE SUBJECT?: People diagnosed with serious mental illness have a high risk of diabetes and are more likely to develop type 2 diabetes at ages below 60 years. Effective diabetes self-care behaviours among people diagnosed with serious mental illness can improve glycaemic control and reduce vascular complications. Few studies have investigated diabetes self-care behaviours and their associations with health literacy and self-efficacy in people diagnosed with serious mental illness. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Diabetes self-care behaviours in people diagnosed with serious mental illness were suboptimal; the least frequently performed self-care activities were self-monitoring of blood glucose. Factors associated with diabetes self-care behaviours are gender, age, communicative and critical health literacy and self-efficacy. Self-efficacy is the strongest predictor of self-care behaviours among people diagnosed with comorbid serious mental illness and type 2 diabetes. WHAT ARE THE IMPLICATIONS OF PRACTICE?: Mental health nurses should assess diabetes-specific health literacy of people diagnosed with serious mental illness to ensure that they possess the knowledge and skills related to diabetes self-care. When treating young people and those with newly diagnosed type 2 diabetes, nurses should incorporate strategies to minimise their perceptions of diabetes-related distress and increase their confidence in managing comorbid diabetes. ABSTRACT: Introduction People diagnosed with serious mental illness (SMI) experience greater challenges in managing their type 2 diabetes mellitus (T2DM) than do those diagnosed with T2DM alone. Aim This study investigated diabetes self-care activities and the factors associated with these activities in people diagnosed with SMI in a hospital setting. Methods A cross-sectional correlational study was conducted among 126 people diagnosed with comorbid SMI and T2DM in Taipei, Taiwan, between October 2020 and April 2021. Data were collected using self-report questionnaires and a chart review. Three-step hierarchical multiple regression analysis was used to identify factors associated with diabetes self-care behaviours. Results Diabetes self-care behaviours in people diagnosed with SMI were suboptimal overall. Hierarchical multiple regression analyses revealed that age (β = 0.18, p = .037) and self-efficacy (β = 0.27, p = .004) significantly associated with diabetes self-care behaviours. Discussion Self-efficacy is the strongest predictor of self-care behaviours among people diagnosed with comorbid SMI and T2DM. Implications for Practice Mental health professionals should focus on enhancing confidence in managing comorbid diabetes in people diagnosed with comorbid SMI, especially young people and those with newly diagnosed T2DM.

The psychosocial burdens of living with diabetes.

To better understand the prevalence of self-reported psychosocial burdens and the unmet needs identified by people with diabetes in relation to routine diabetes visits. An English language, online survey was distributed via social media, key stakeholder networks, charity and advocacy groups to adults with type 1 diabetes or type 2 diabetes. Survey items were designed by members of the FDA RESCUE Collaborative Community Governing Committee prior to pilot testing with potential participants. Descriptive statistical analyses were conducted, as well as thematic analyses on free-text responses using NVivo v14. Four hundred and seventy-eight participants completed the survey: 373 (78%) had type 1 diabetes, 346 (73%) identified as a woman and 433 (91%) were white. Most participants had experienced self-reported (rather than diagnosed) anxiety and depression (n = 323 and n = 313, respectively), as well as fear of low blood sugars (n = 294), low mood (n = 290) and diabetes-related distress (n = 257). Sixty-eight percent reported that diabetes had negatively affected self-esteem, 62% reported the feelings of loneliness, but 93% reported that friends/family/work colleagues were supportive when needed. Two hundred and seventy-two percent (57%) reported that their diabetes team had never raised the topic of mental health. The overwhelming majority stated that the best thing their diabetes team could do to help was to simply ask about mental well-being, listen with empathy and without judgement, and practice skills to understand psychosocial issues in diabetes. Integrating psychosocial discussions and support within routine healthcare visits is crucial to improve outcomes for people with diabetes. Such a biopsychosocial model of healthcare has long been advocated by regulatory bodies.

Carbohydrate Counting vs. Fixed Meal Plan in Indian Children with Type 1 Diabetes Mellitus: A Randomized Controlled Trial.

To study the impact of carbohydrate counting vs. fixed-meal plan on glycemic control, quality of life (QoL) and diabetes-related emotional distress in children with Type 1 diabetes mellitus (T1DM). Children aged 6-18 y with T1DM of duration >1 y were eligible for the study if they were on multiple daily injections of insulin and regularly monitoring blood glucose. Those with celiac disease, hypothyroidism, any underlying chronic renal/liver/systemic disease or HbA1c >13% were excluded. Both groups received education on diabetes management and healthy diet. In the intervention arm, parents were taught to quantify carbohydrate content and modify insulin doses according to insulin-carbohydrate ratio. The control arm had dietary prescription according to recommended dietary allowance and food exchange list. Standard validated questionnaires were used to assess the QoL and emotional distress related to diabetes. One hundred twenty five patients (61 intervention, 64 controls) were enrolled and 91.8% and 84.3%, respectively, completed 6-mo follow-up. There was a reduction in HbA1c in both the groups, but was not statistically significant within or between groups {Intervention: 8.9 (1.4) to 8.6 (1.5) vs. control: 9.1 (1.6) to 8.8 (1.9), [95% CI 8.3-9.3 vs. 8.3-9.0, intention to treat (ITT), p= 0.63]}. There was a significant reduction in diabetes distress in the intervention group; DAWN Problem Areas in Diabetes Questionnaire (PAID) score with a median (interquartile range) of 21 (11-33) vs. control: 27 (20-40), (p=0.04). Patients in the carbohydrate-counting group demonstrated lower diabetes distress scores and less emotional burnout compared to fixed-meal plan over a 6 mo period though overall glycemic control was comparable between groups.

Effectiveness of a Digital Health Application for the Treatment of Diabetes Type II-A Pilot Study.

(1) Background: This study aimed at providing preliminary evidence for mebix, an app-based treatment program for patients with diabetes mellitus type II. The main target was to show a positive healthcare impact as defined by improved blood glucose control, i.e., reduced HbA1c values. (2) Methods: For this, a 3-month, prospective, open-label trial with an intraindividual control group was conducted. Participants received the mebix intervention for 3 months. HbA1c values were observed every 3 months: retrospectively, at baseline, and 3 months after the start of using the app. Additionally, weight and patients' reported outcomes (well-being, diabetes-related distress, and self-management) were assessed. Data generated within the app were summarized and analyzed (steps, physical activity, fulfilled tasks, and food logs). (3) Results: After the usage of mebix for 3 months, participants significantly reduced their HbA1c levels (-1.0 ± 0.8%). Moreover, improvements in weight, well-being, and self-management as well as a reduction in diabetes-related distress were observed. App-generated data mainly supported the other main finding, that higher baseline HbA1c values lead to higher reductions. Overall, the study provided preliminary evidence that mebix can help patients improve metabolic and psychological health outcomes.

Diabetes-Related-Distress and its Relationship with Glycaemic Control Among Type 2 Diabetes Mellitus Patients Attending a Specialty Clinic in Lagos, Nigeria

Background: Diabetes Mellitus (DM) is a chronic metabolic disease with various complications throughout its course. The presence of emotional burden in diabetes disease, which is referred to as diabetes-related distress (DRD) is common among such patients and may affect their response to treatment. Objectives: To assess the relationship of diabetes-related distress and glycaemic control among patients with Type 2 Diabetes mellitus. Methods: This hospital-based cross-sectional study was conducted at the Family Medicine Department of LASUTH, Ikeja, Lagos. A total of 317 patients with Type 2 Diabetes mellitus were systematically recruited. The data were collected over a four-month period. Important clinical information including clinical characteristics and diabetes-related distress using the diabetes distress scale (DDS-17) was collected. Glycosylated haemoglobin (HbA1c) was also assessed. Results: The degrees of DRD were as follows: 54.9% (No/little), 40.1% (moderate) and 5.0% (severe). The mean HbA1c estimate for all participants was 7.83±1.8%. Among the 317 study participants, 67.2% had poor glycaemic control while 32.8% had good glycaemic control. There was a statistically significant association between DRD and glycaemic control (p &lt; 0.001). Likewise, the various domains of DRD had statistically significant associations with glycaemic control with the exception of physician-related domain. Participants with better glycaemic control reported lower levels of DRD than participants with poorer glycaemic control. Conclusion: There is a high level of diabetes-related distress patients with diabetes mellitus. Good glycaemic control is important in improving or preventing DRD. Therefore, T2DM patients should be screened for DRD during their treatment.

COVID-19 Impact Predicts Diabetes Distress Among Individuals With Type 2 Diabetes.

The purpose of this study was to determine whether COVID-19 impact and Diabetes Self-Management Education and Support (DSMES) service attendance predicted diabetes distress among individuals with type 2 diabetes during the pandemic. Eighty-six adults with type 2 diabetes who either attended (n = 29) or did not previously attend (n = 57) DSMES services completed a cross-sectional survey. Participants' mean age was 57 ± 12.3 years, 50% were female, and 71.3% were diagnosed with diabetes >5 years. The Coronavirus Impact Scale was used to measure impact of the pandemic on daily life. The Diabetes Distress Scale was used to measure distress overall and within 4 subscales (emotional burden, interpersonal distress, physician-related distress, regimen distress). Separate multiple linear regressions were conducted for each outcome, controlling for age, sex, marital status, financial status, and time since diabetes diagnosis. Higher COVID-19 impact predicted higher diabetes-related distress for all subscales and overall. Only the subscale for interpersonal distress was predicted by DSMES attendance, which decreased with DSMES attendance. This study identifies a link between the effects of the COVID-19 pandemic and diabetes distress. The findings highlight the negative impact of the pandemic on diabetes distress and the importance of DSMES services for diabetes-related distress. Interventions are needed to reduce psychological distress among this population during public health crises.

Diabetes knowledge, self-efficacy and dietary, psychological and physical health barriers: Comparing young and usual-onset type 2 diabetes.

Young-onset (21-39 years old) type 2 diabetes (YOD) is associated with high complication rates and glycaemic levels, and poor self-management plays a significant role. Knowledge, skills and barriers influence self-management behaviours considerably. Therefore, this study assessed diabetes knowledge, self-efficacy and barriers (situational dietary barriers, physical health, mental health and diabetes-related distress) between participants with young and usual-onset (40-59 years old) (UOD) diabetes. A cross-sectional survey was conducted. Differences between YOD and UOD were analysed using bivariate analysis and effect sizes were estimated with Cohen's d. Differences were further adjusted by demographic factors (gender, ethnicity, marital status, educational level, income level) and diabetes duration. A total of 409 (97 YOD, 312 UOD) participants were recruited. Participants with YOD had lower self-efficacy levels (adjusted B = -0.19, CI -0.35 to -0.03) and higher dietary barriers (adjusted B = 3.6, CI 2.1-5.1), lower mental health scores (adjusted B = -3.5, CI -5.7 to -1.4) and higher diabetes-related distress levels (adjusted B = 0.2, CI 0.2-0.4). Our study found that participants with YOD faced more challenges with adapting to life with diabetes when compared with UOD. More effective self-management programmes are needed to support the multifaceted needs of adults with YOD.

Psychometric Properties of the Turkish Validity and Reliability of the Parent Diabetes Distress Scale

The aim of this study was to evaluate the validity and reliability of the Turkish translation of the Parent Diabetes Distress Scale (PDDS). The PDDS is a 5-point Likert-type scale with 20 items. After obtaining permission from the scale developers, the study commenced. First, a systematic adaptation of the scale into the Turkish language was performed including translation, expert panel review, back translation, and pilot study. Test-retest was applied to 35 participants. After these procedures, data collection was undertaken using the adapted PDDS and a demographic data collection form. The collected data were analyzed for reliability, including stability of the scale with test-retest and internal consistency of the scale (Cronbach’s α), and validity including construct validity of the scale with confirmatory factor analysis (CFA). The parents of 210 teenagers, aged >11 and <18 years, who had been diagnosed with type 1 diabetes mellitus for at least one year were included. Of these parents, 71.9% (n=151) were mothers and 53.3% (n=112) of the children were girls. The Cronbach’s α value was 0.906. The results of the CFA were χ2/df=4.406, p<0.001, comparative fit test 0.704, and goodness of fit tests 0.749. The mean total PDDS score was 2.2±0.7. These results indicate that scores of 1.6 points or less was evaluated as “little or no distress” 1.7-2.4 as “moderate distress,” and >2.4 points as “high distress”. This showed that the majority of the parents in the study experienced moderate or severe diabetes-related distress. The Turkish version of the PDDS fulfilled the validity and reliability tests at an acceptable level.

Hybrid Closed Loop Therapy in Adults With Type 1 Diabetes and Above-Target HbA1c: A Real-World Observational Study.

We explored longitudinal changes associated with switching to hybrid closed loop (HCL) insulin delivery systems in adults with type 1 diabetes and elevated HbA1c levels despite the use of intermittently scanned continuous glucose monitoring (isCGM) and insulin pump therapy. We undertook a pragmatic, preplanned observational study of participants included in the National Health Service England closed loop pilot. Adults using isCGM and insulin pump across 31 diabetes centers in England with an HbA1c ≥8.5% who were willing to commence HCL therapy were included. Outcomes included change in HbA1c, sensor glucometrics, diabetes distress score, Gold score (hypoglycemia awareness), acute event rates, and user opinion of HCL. In total, 570 HCL users were included (median age 40 [IQR 29-50] years, 67% female, and 85% White). Mean baseline HbA1c was 9.4 ± 0.9% (78.9 ± 9.1 mmol/mol) with a median follow-up of 5.1 (IQR 3.9-6.6) months. Of 520 users continuing HCL at follow-up, mean adjusted HbA1c reduced by 1.7% (95% CI 1.5, 1.8; P < 0.0001) (18.1 mmol/mol [95% CI 16.6, 19.6]; P < 0.0001). Time in range (70-180 mg/dL) increased from 34.2 to 61.9% (P < 0.001). Individuals with HbA1c of ≤58 mmol/mol rose from 0 to 39.4% (P < 0.0001), and those achieving ≥70% glucose time in range and <4% time below range increased from 0.8 to 28.2% (P < 0.0001). Almost all participants rated HCL therapy as having a positive impact on quality of life (94.7% [540 of 570]). Use of HCL is associated with improvements in HbA1c, time in range, hypoglycemia, and diabetes-related distress and quality of life in people with type 1 diabetes in the real world.

The Turkish version of the problem areas in diabetes-parents of teens (P-PAID-T): Cross-cultural adaptation, reliability, and validity

ObjectiveTo examine the Turkish validity and reliability of the Problem Areas in Diabetes- Parents of Teens (P-PAID-T) scale and its psychometric properties for determining the parents' diabetes-related distress. MethodsThe study included the parents of 200 adolescents with T1DM for at least a year. P-PAID-T and a demographic data form were used for data collection. Davis technique was used for the content validity of the scale. The scale's reliability was tested using test-retest, and its internal reliability was analyzed with Cronbach's alpha test. Exploratory Factor Analysis (EFA) was used to analyze the factor structure. Confirmatory Factor Analysis (CFA) was used to evaluate the fit of the scale. Results69.5% (n = 139) of the participants were mothers. Compared to the fathers, the mothers' mean P-PAID-T score was significantly higher. Parents of sons, who used insulin injections for their children, and had a college degree or higher education level had higher P-PAID-T scores. The test-retest correlation coefficient of the scale was 0.977. The Cronbach α value of the scale was 0.901. The results of confirmatory factor analysis were x2/df = 2.931, GFI = 0.736, CFI = 0.711, NFI = 0.628, NNFI = 0.660, RMSEA = 0.141. ConclusionThe Turkish version of P-PAID-T was a valid and reliable screening tool for measuring diabetes stress in parents of adolescents with T1DM. Practice implicationsNurses could use the Turkish version of P-PAID-T to monitor parental diabetes distress and organize interventions; also Turkish P-PAID-T could facilitate research on diabetes distress for parents of adolescents with T1DM.

Treatment Satisfaction and Well-Being With CGM in People With T1D: An Analysis Based on the GOLD Randomized Trial.

The GOLD trial demonstrated that continuous glucose monitoring (CGM) in people with type 1 diabetes (T1D) managed with multiple daily insulin injections (MDI) improved not only glucose control but also overall well-being and treatment satisfaction. This analysis investigated which factors contributed to improved well-being and treatment satisfaction with CGM. The GOLD trial was a randomized crossover trial comparing CGM versus self-monitored blood glucose (SMBG) over 16 months. Endpoints included well-being measured by the World Health Organization-Five Well-Being Index (WHO-5) and treatment satisfaction by the Diabetes Treatment Satisfaction Questionnaire (DTSQ) as well as glucose metrics. Multivariable R2-decomposition was used to understand which variables contributed most to treatment satisfaction. A total of 139 participants were included. Multivariable analyses revealed that increased convenience and flexibility contributed to 60% (95% confidence interval [CI] = 50%-69%) of the improvement in treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire change version [DTSQc]) observed with CGM, whereas perceived effects on hypoglycemia and hyperglycemia only contributed to 6% (95% CI = 2%-11%) of improvements. Significant improvements in well-being (WHO-5) by CGM were observed for the following: feeling cheerful (P = .025), calm and relaxed (P = .024), being active (P = .046), and waking up fresh and rested (P = .044). HbA1c reductions and increased time in range (TIR) were associated with increased treatment satisfaction, whereas glycemic variability was not. HbA1c reduction showed also an association with increased well-being and increased TIR with less diabetes-related distress. While CGM improves glucose control in people with T1D on MDI, increased convenience and flexibility through CGM is of even greater importance for treatment satisfaction and patient well-being. These CGM-mediated effects should be taken into account when considering CGM initiation.

E-Health technologies for treatment of depression, anxiety and emotional distress in person with diabetes mellitus: A systematic review and meta-analysis

ObjectiveThis systematic review of randomized clinical trials (RCT) summarized the available evidence regarding the use of e-Health technologies for the treatment of depression, anxiety, and emotional distress in person with diabetes mellitus. MethodsThe Cochrane CENTRAL, MEDLINE, EMBASE, Web of Science and LILACS databases searched were up to January 11th, 2023. The primary outcomes were improvement of depression, anxiety, diabetes-related emotional distress and quality of life. Reviewers, in pairs and independently, selected the studies and extracted their data. ResultsA total of 10 RCT involving 2,209 participants were analyzed. The methodological quality of the studies reviewed was high. Results showed improvements in depression with the use of Internet-Guided Self-Help (SMD = −0.74, 95%CI = −1.04 to −0.43) or Telephone-Delivered Cognitive Behavioral Therapy (CBT) (SMD = −0.42, 95%CI = −0.65 to −0.19); in anxiety with Internet-Guided Self-Help (SMD = −0.72, 95%CI = −1.02 to −0.42) or Diabetes-specific-CBT (SMD = −0.60, 95%CI = −1.18 to −0.02); and in emotional distress with Internet-Guided Self-Help (SMD = −0.72, 95%CI = −1.02 to −0.41) or Healthy Outcomes through Patient Empowerment (SMD = −0.26, 95%CI = −0.53 to 0.01) compared to usual care. ConclusionDue to heterogeneity in interventions, populations, follow-up time and outcomes, future RCT should be conducted to confirm these findings.

Relationship between parent-adolescent communication and parent involvement in adolescent Type 1 diabetes management, parent/family wellbeing and glycaemic control.

This study investigated the relationship between parent-reported degree of openness and extent of problems in parent-adolescent communication and parent involvement in adolescent Type 1 diabetes management, parent and family wellbeing and adolescent glycaemic control. A cross-sectional quantitative survey was conducted. Parents completed measures of parent-adolescent communication, parent monitoring of diabetes care, diabetes family responsibility, parent knowledge of diabetes care, parent activation, parent diabetes distress, and diabetes family conflict. In total, 146 parents/guardians (121 mothers, mean age 46.56 years, SD 5.18) of adolescents aged 11-17 years (mean age 13.9 years, SD 1.81) with Type 1 diabetes completed the survey. Open parent-adolescent communication was significantly correlated to adolescents' voluntarily disclosing diabetes-specific information to their parents more frequently, increased parental knowledge of their adolescent's diabetes care completion, parents feeling more capable and willing to take action in relation to their adolescent's diabetes health, lower levels of diabetes-related parental distress, less diabetes-specific family conflict, and optimal glycaemic control. Parent-adolescent communication has an important role to play in Type 1 diabetes healthcare management and psychosocial wellbeing during adolescence. Optimising open parent-adolescent communication represents a potentially useful target for interventional research and should be considered by healthcare professionals during healthcare encounters.