Perceived glucose levels matter more than CGM-based data in predicting diabetes distress in type 1 or type 2 diabetes: a precision mental health approach using n-of-1 analyses.

AIMS/HYPOTHESIS: Diabetes distress is one of the most frequent mental health issues identified in people with type 1 and type 2 diabetes. Little is known about the role of glucose control as a potential contributor to diabetes distress and whether the subjective perception of glucose control or the objective glycaemic parameters are more important for the experience. With the emergence of continuous glucose monitoring (CGM), this is a relevant question as glucose values are now visible in real-time. We employed a precision monitoring approach to analyse the independent associations of perceived and measured glucose control with diabetes distress on a daily basis. By using n-of-1 analyses, we aimed to identify individual contributors to diabetes distress per person and analyse the associations of these individual contributors with mental health at a 3 month follow-up. METHODS: In this prospective, observational study, perceived (hypoglycaemia/hyperglycaemia/glucose variability burden) and measured glucose control (time in hypoglycaemia and hyperglycaemia, CV) were assessed daily for 17 days using an ecological momentary assessment (EMA) approach with a special EMA app and CGM, respectively. Mixed-effect regression analysis was performed, with daily diabetes distress as the dependent variable and daily perceived and CGM-measured metrics of glucose control as random factors. Individual regression coefficients of daily distress with perceived and CGM-measured metrics were correlated with levels of psychosocial well-being at a 3 month follow-up. RESULTS: Data from 379 participants were analysed (50.9% type 1 diabetes; 49.6% female). Perceived glucose variability (t=14.360; p<0.0001) and perceived hyperglycaemia (t=13.637; p<0.0001) were the strongest predictors of daily diabetes distress, while CGM-based glucose variability was not significantly associated (t=1.070; p=0.285). There was great heterogeneity between individuals in the associations of perceived and measured glucose parameters with diabetes distress. Individuals with a stronger association between perceived glucose control and daily distress had more depressive symptoms (ß=0.32), diabetes distress (ß=0.39) and hypoglycaemia fear (ß=0.34) at follow-up (all p<0.001). Individuals with a stronger association between CGM-measured glucose control and daily distress had higher levels of psychosocial well-being at follow-up (depressive symptoms: ß=-0.31; diabetes distress: ß=-0.33; hypoglycaemia fear: ß=-0.27; all p<0.001) but also higher HbA1c (ß=0.12; p<0.05). CONCLUSIONS/INTERPRETATION: Overall, subjective perceptions of glucose seem to be more influential on diabetes distress than objective CGM parameters of glycaemic control. N-of-1 analyses showed that CGM-measured and perceived glucose control had differential associations with diabetes distress and psychosocial well-being 3 months later. The results highlight the need to understand the individual drivers of diabetes distress to develop personalised interventions within a precision mental health approach.

The emotional burden of type 1 diabetes: A cross-sectional study to understand associations between diabetes distress and glucose metrics in adulthood.

AIMS: Advancements in type 1 diabetes (T1D) management, such as continuous glucose monitoring (CGM), have helped people achieve narrower glucose ranges, but associations between CGM and diabetes distress are unclear. Although higher HbA1c is associated with higher distress, associations with other glucose metrics are unknown. To better understand this relationship, we characterized diabetes distress in a sample of CGM users and compared differences in glucose metrics (measured via CGM) between those with higher versus lower distress. METHODS: CGM users with T1D from the T1D Exchange Registry completed an online survey including diabetes distress (DDS-2) and shared CGM data (N = 199). CGM metrics were computed from all available data within 3 months prior to survey completion. Participants were grouped by distress level: lower (DDS-2 < 3, n = 120) or higher (DDS-2 ≥ 3, n = 79). Welch's t-tests were used to compare mean differences in CGM metrics between groups and MANCOVA was used to further probe mean differences. RESULTS: Approximately 39.7% participants reported higher diabetes distress. Welch's t-tests revealed participants with higher distress spent significantly more time in higher glucose ranges (above 180 mg/dL and above 250 mg/dL), less time in target glucose ranges (between 70 and 180 mg/dL and between 70 and 140 mg/dL) and had higher glucose management index values compared to those with lower distress (p < 0.01). MANCOVA models showed similar results. CONCLUSIONS: CGM users continue to experience diabetes distress. Moreover, higher distress appears to be associated with hyperglycaemia. These findings provide support for broader screening efforts for diabetes distress.

Impact of personalized diabetes care on distress and treatment satisfaction in people with breast cancer.

AIMS: In patients with breast cancer (BCa) and diabetes (DM), diabetes distress (DD) and treatment satisfaction (DTS) can influence BCa management and outcomes. We assessed the impact of implementing a personalized diabetes care model in patients with BCa. METHODS: Patients in active treatment or surveillance for BCa with an HbA1c > 53 mmol/mol (7%) or random blood glucose >11.1 mmol/L were included. Participants were offered continuous glucose monitoring (CGM), virtual care and a dedicated diabetes provider for 6 months. Primary outcomes included DD measured by the Diabetes Distress Survey (DDS) and DTS measured by the Diabetes Treatment Satisfaction Questionnaire (DTSQ). Questionnaires were conducted at 0, 3 and 6 months. RESULTS: Thirty-one women were enrolled (median age 61, IQR 49.0-69.0). Compared to baseline, the mean DDS score was lower at both 3 months (2.2 vs. 1.8 [n = 27], p = 0.004, SD = 0.70) and 6 months (2.3 vs. 1.8 [n = 23], p = 0.002, SD = 0.70). The mean DTSQ score was higher at 3 months (baseline: 20.5 vs. 3 months: 28.7 [n = 28], p < 0.001, SD = 9.2) and 6 months (baseline: 20.4 vs. 6 months: 30.0 [n = 26], p < 0.001, SD = 9.7). CONCLUSIONS: Personalized diabetes care models that emphasize remote management and optimize access for those with BCa may lower DD and improve DTS.

Diabetes distress and depression are independently associated with gastrointestinal symptoms in type 2 diabetes in Bangladesh.

BACKGROUND AND AIMS: Gastrointestinal (GI) symptoms, common in type 2 diabetes (T2D), are typically bothersome, socially embarrassing, and impact negatively on quality of life. They may also contribute to diabetes distress (DD), but this has never been formally evaluated. We aimed to investigate the relationships between GI symptoms, DD and depressive symptoms in a large cohort of individuals with T2D in Bangladesh. MATERIALS AND METHODS: 1406 unselected T2D individuals (female 58.8%; mean age 51.0 ± 12.5 years) from four diabetes clinics in Bangladesh completed validated questionnaires evaluating GI symptoms (PAGI-SYM), DD (DDS-17) and depressive symptoms (PHQ-9). RESULTS: 31.1% of participants reported GI symptoms (36.2% females, 23.7% males), while 51.1% had elevated DD and 37.8% depressive symptoms. GI symptoms exhibited independent relationships with both DD and depressive symptoms, and their likelihood was higher among those with DD (OR: 3.6 [2.2-5.6] and with depressive symptoms (OR: 5.9 [3.5-9.9]). CONCLUSIONS: GI symptoms are independently associated with both DD and depressive symptoms in people with T2D in Bangladesh.

Body mass index moderates the association between diabetes distress and objective self-management behaviours in adolescents with type 1 diabetes and elevated A1Cs.

OBJECTIVE: To examine the cross-sectional associations between diabetes distress, BMI (zBMI; BMI z-score), objectively measured mean daily blood glucose readings and insulin boluses administered, and A1C in adolescents with type 1 diabetes (T1D) using insulin pumps. METHODS: T1D self-management behaviour data were downloaded from adolescents' (N = 79) devices and mean daily frequency of blood glucose readings and insulin boluses were calculated. Diabetes distress was measured (Problem Areas in Diabetes-Teen questionnaire [PAID-T]), A1C collected, and zBMI calculated from height and weight. Three multiple linear regressions were performed with blood glucose readings, insulin boluses, and A1C as the three dependent variables and covariates (age, T1D duration), zBMI, diabetes distress, and the diabetes distress x zBMI interaction as independent variables. RESULTS: Participants (55.7% female) were 14.9 ± 1.9 years old with T1D for 6.6 ± 3.4 years. zBMI moderated the relationship between diabetes distress and mean daily insulin boluses administered (b = -0.02, p = 0.02); those with higher zBMI and higher diabetes distress administered fewer daily insulin boluses. zBMI was not a moderator of the association between diabetes distress and blood glucose readings (b = -0.01, p = 0.29) or A1C (b = 0.002, p = 0.81). CONCLUSIONS: Using objective behavioural data is useful for identifying how adolescent diabetes distress and zBMI affect daily bolusing behaviour amongst adolescent insulin pump users. Although distinct interventions exist to improve T1D self-management or diabetes distress, none addresses them together while considering zBMI. Decreasing diabetes distress could be especially important for youth with high zBMI.

Screening for diabetes distress and depression in routine clinical care for youth with type 1 diabetes.

OBJECTIVE: The purpose of this study is to examine diabetes distress as a potential mediator of the relationship between depression symptoms and diabetes outcomes, including hemoglobin A1c (hemoglobin A1c [HbA1c]) and diabetes management behaviors in a clinical sample of adolescents and young adults. METHODS: In a pediatric diabetes clinic, 716 youth (ages 12-21 years) completed measures of diabetes distress (Problem Areas in Diabetes-Teen [PAID-T]), a single-item of diabetes distress, and depression (Patient Health Questionnaire [PHQ-9]) as part of standard care. Electronic health records were extracted for the "Six Habits" and glycemic management (HbA1c). RESULTS: Overall, 3.6% (n = 26) of adolescents had clinically elevated diabetes distress and depression symptoms, 5.0% had diabetes distress alone, 8.7% had depression symptoms alone, and 82.7% had neither clinical elevation of diabetes distress nor depression symptoms. Results of mediation analysis demonstrated diabetes distress (both full and single-item measures) fully mediated the relationship between depression symptoms and HbA1c (p < .001). Also, mediation analysis results showcase incomplete mediation of the effect of the Six Habits score on HbA1c appears by PAID-T Diabetes Distress. CONCLUSIONS: In a clinical sample of youth with type 1 diabetes, both depressive symptoms and diabetes distress are associated with HbA1c. Furthermore, diabetes distress fully mediates the relationship between depressive symptoms and HbA1c. As part of standard clinical care, the single-item screener for diabetes distress captured similar results as the full-scaled PAID-T. With limited clinical resources, providers may consider focusing assessment and interventions on the psychological factor of diabetes distress within the diabetes clinic to maximize the impact on glycemic control and consider the use of single-item screening to identify distress.

The moderating role of diabetes distress on the effect of a randomized eHealth intervention on glycemic control in Black adolescents with type 1 diabetes.

OBJECTIVE: Due to systemic inequities, Black adolescents with type 1 diabetes are more likely to have suboptimal glycemic control and high rates of diabetes distress, but tailored interventions for this population are lacking. In primary outcomes of a randomized clinical trial, a family-based eHealth intervention improved glycemic control in Black adolescents with type 1 diabetes and elevated depressive symptoms. The present study is a secondary analysis of these clinical trial data examining the moderating effect of diabetes distress on the efficacy of the intervention. METHODS: Using secondary data from a multicenter randomized clinical trial (Clinicaltrials.gov [NCT03168867]), caregiver-adolescent dyads were randomly assigned to either up to three sessions of an eHealth parenting intervention (n = 75) or a standard medical care control group (n = 74). Black adolescents (10 years, 0 months to 14 years, 11 months old) with type 1 diabetes and a caregiver willing to participate were eligible. Adolescents reported their diabetes distress at baseline, and hemoglobin A1c (HbA1c) data were collected at baseline, 6-, 13-, and 18-month follow-up. RESULTS: No between-group contrasts emerged in a linear mixed-effects regression (p's > .09). Within-group contrasts emerged such that adolescents assigned to the intervention who reported high diabetes distress had lower HbA1c at the 18-month follow-up relative to baseline (p = .004); the 18-month decrease in HbA1c was -1.03%. CONCLUSIONS: Black adolescents with type 1 diabetes and high levels of diabetes distress showed significant decreases in HbA1c following a family-based eHealth intervention, suggesting diabetes distress may be a key moderator of intervention efficacy within this population.

The role of peer social relationships in psychological distress and quality of life among adolescents with type 1 diabetes mellitus: a longitudinal study.

BACKGROUND: Adolescents with type 1 diabetes mellitus suffer from diabetes distress and poor health-related quality of life (HRQOL) since living with the condition that differentiates them from their peers. The present study investigated the effects of peer support and stress on diabetes distress and HRQOL and whether positive coping mediated the effects. METHODS: We used a prospective study design. A total of 201 adolescents with type 1 diabetes mellitus from 20 cities in 4 provinces were recruited.Participants complete two separate surveys at approximately 18-month intervals. The scales employed at both Time 1 and Time 2 included the Diabetes-Specific Peer Support Measure, Diabetes Stress Questionnaire for Youths, Simplified Coping Style Questionnaire, 5-item Problem Areas in Diabetes Scale, and the Diabetes Quality of Life for Youth scale. RESULTS: Baseline peer stress directly predicted diabetes distress and HRQOL at 18 months, even controlling for age, gender, and peer support. However, the direct effect of baseline peer support on 18-month diabetes distress and HRQOL was insignificant. Baseline peer support indirectly affected diabetes distress and HRQOL at 18 months through positive coping, indicating that positive coping plays a mediating role. CONCLUSION: The findings suggest that peer social relationships, especially peer stress, and positive coping are promising intervention targets for adolescents facing challenges in psychosocial adaptation.

Perceptions of diabetes distress during pregnancy in women with type 1 and type 2 diabetes: a qualitative interpretive description study.

BACKGROUND: Diabetes distress is commonly seen in adults with pre-existing diabetes and is associated with worsened glycemic management and self-management practices. While a majority of women report increased stress during pregnancy, it is unknown how women with type 1 or type 2 diabetes experience diabetes distress during this unique and transitional time. PURPOSE: This study aimed to understand the experiences and perceptions of diabetes distress in women with pre-existing diabetes during pregnancy. METHODS: A qualitative study using an interpretive description approach was conducted. In-depth, one to one interviewing was used to capture rich descriptions of the pregnancy experience. Nested, stratified, and theoretical sampling was used to recruit 18 participants with type 1 and type 2 diabetes from the quantitative strand of this mixed methods study. Constant comparative analysis was used to inductively analyze the data and develop themes. FINDINGS: Four themes, each with several subthemes, emerged under the main finding of "Diabetes Distress": 1) Worry for Baby's Health - "What's this going to do to the baby?"' 2) Feeling Overwhelmed with Diabetes Management-"It just seemed unattainable"; 3) Living with Diabetes - "There's no way out" and 4) Cycle of Diabetes Distress. CONCLUSIONS: The findings from this study identify the sources and experiences of diabetes distress during pregnancy in women with pre-existing diabetes. Diabetes distress often presents as cyclical and multifaceted during pregnancy, with elements of fear for the unborn baby, difficulties with diabetes management, and having negative lived experiences of diabetes. Further work is needed to develop appropriate screening tools for pregnancy and interventions to mitigate diabetes distress. Diabetes educators are well-positioned provide emotional support and person-centred self-management education to individuals with diabetes.

The effect of social support, diabetes management self-efficacy, and diabetes distress on resilience among patients with type 2 diabetes: a moderated mediation analysis.

BACKGROUND: Diabetes can result in distress. Improving Resilience is important in managing these conditions. It is also important to consider the mediating role of diabetes management self-efficacy (DMSE) between diabetes distress (DD) and Resilience. Likewise, understanding how social support (SS) buffers the impact of diabetes distress on Resilience is equally important. METHODS: The present study used a cross-sectional design and included 403 participants diagnosed with type 2 diabetes (T2D). The study was conducted in the south of Iran. The participants were selected through convenience sampling from July 2022 to January 2023. Self-reported questionnaires, namely the Diabetes Distress Scale (DDS), Diabetes Management Self-Efficacy Scale (DMSE), Perceived Social Support Scale (PSSS), and Resilience Scale, were used for data collection in the present study. Structural equation modelling was used for moderated mediation analysis. RESULTS: The results of the Pearson correlation analysis were indicative of a significant negative correlation (p < 0.01) between diabetes distress and diabetes management self-efficacy (r = - 0.607), social support (r = - 0.417), and Resilience (r = - 0.552). The findings further revealed that diabetes management self-efficacy had fully mediated the correlation between diabetes distress and Resilience. Moreover, the results indicated that social support had a moderating role in the DD-resilience link. CONCLUSIONS: The present study's findings offer a new theoretical framework for T2DM that can benefit intervention designers. The results further suggest that promoting diabetes management self-efficacy can be an effective strategy to enhance Resilience and decrease diabetes distress. Also, nurses and other healthcare providers must pay close attention to support resources to improve the patients' Resilience and evaluate the distress associated with diabetes.

COVID-19 pandemic-related healthcare interruptions and diabetes distress: a national study of US adults with diabetes.

BACKGROUND: Early COVID-19 pandemic research found changes in health care and diabetes management, as well as increased diabetes distress. This study aims to determine the association between COVID-19 pandemic-related healthcare interruptions and diabetes distress among adults with Type 1 and Type 2 diabetes in the US in 2021. METHODS: Multinomial logistic regression was used to analyze moderate and high levels of diabetes distress (reference = no diabetes distress) in 228 individuals with Type 1 diabetes and 2534 individuals with Type 2 diabetes interviewed in the National Health Interview Survey in 2021. RESULTS: Among adults with Type 1 diabetes, 41.2% experienced moderate diabetes distress and 19.1% experienced high diabetes distress, and among adults with Type 2 diabetes, 40.8% experienced moderate diabetes distress and 10.0% experienced high diabetes distress. In adults with Type 1 diabetes, experiencing delayed medical care was associated with an adjusted odds ratio (aOR) of 4.31 (95% CI: 1.91-9.72) for moderate diabetes distress and 3.69 (95% CI: 1.20-11.30) for high diabetes distress. In adults with Type 2 diabetes, experiencing delayed medical care was associated with an aOR of 1.61 (95% CI: 1.25-2.07) for moderate diabetes distress and 2.27 (95% CI: 1.48-3.49) for high diabetes distress. Similar associations were observed between not receiving medical care due to the pandemic and diabetes distress. CONCLUSION: Among people with diabetes, experiencing delayed medical care and not receiving care due to the pandemic were associated with higher reports of diabetes distress.

Relationship between glycaemic control and frailty in older Chinese patients: The mediating role of diabetes distress.

PURPOSE: This study aimed to investigate the effects of glycaemic control and diabetes distress on frailty in older Chinese patients with diabetes, and to explore the mediating role of diabetes distress between glycaemic control and frailty. DESIGN: This is a descriptive, cross-sectional study. A total of 209 older patients with diabetes were recruited from a teaching hospital in Zhejiang Province. Data were collected from February to September 2022. METHODS: A self-designed questionnaire was used to collect demographic and disease-related data. The Fried Scale and Diabetes Distress Scale were employed to assess frailty and diabetes distress, respectively The bootstrap method was used to examine the mediating effects of diabetes distress on glycaemic control and frailty. The STROBE checklist was adhered to in the reporting of this study (see details in File S1). RESULTS: The findings indicated a positive correlation between the level of glycaemic control and frailty, as well as between diabetes distress and frailty. Furthermore, diabetes distress was found to play a complete mediating role between glycaemic control and frailty. CONCLUSIONS: The study findings highlight the relationship between glycaemic control, diabetes distress and frailty offering a valuable reference for enhancing the management of frailty in older patients with diabetes. RELEVANCE TO CLINICAL PRACTICE: This study emphasizes the significance of managing glycaemic control and diabetes distress in older patients with diabetes to prevent frailty, and may contribute for healthcare professionals to developing effective measures to improve the frailty of older diabetic patients in clinical settings. PATIENT OR PUBLIC CONTRIBUTION: This study was conducted with the participation of older patients with diabetes who contributed data by completing study questionnaires and undergoing physical assessments.

Transition readiness and coping styles in adolescents with type 1 diabetes.

PURPOSE: Although promoting positive coping and reducing negative coping improves health, little research has examined how types of coping relate to transition readiness in adolescents with type 1 diabetes (T1D). This study aimed to clarify the direct and indirect relations between coping style and transition readiness. We first examined which coping styles predict transition readiness in adolescents with T1D and then explored whether diabetes distress mediates the relation between disengagement coping and transition readiness. DESIGN AND METHODS: Using a cross-sectional observational design, 68 families with an adolescent with T1D were recruited during routine clinic appointments. Surveys on family demographics, coping styles, transition readiness, and diabetes distress were completed electronically. Medical information was extracted from electronic health records. RESULTS: Neither primary control, secondary control, nor disengagement coping had a direct significant association with transition readiness after controlling for HbA1c. There was a significant indirect effect of disengagement coping on transition readiness through greater diabetes distress (adolescent report ß = -0.13; 95% CI, LL = -0.27, UL = -0.02; parent report ß = -0.12; 95% CI, LL = -0.26, UL = -0.02). CONCLUSIONS: Coping style did not have a direct effect on transition readiness. However, disengagement coping was associated with diabetes distress, which in turn was significantly related to transition readiness. PRACTICE IMPLICATIONS: Clinicians and researchers should consider incorporating coping strategies within transition readiness interventions to decrease distress and improve transition readiness. Disease-specific psychosocial screening may enhance routine diabetes transition education.

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.

Psychological First Aid.

In this communication, we discuss the concept of psychological first aid, as relevant to diabetes management. Psychological first aid, in the diabetes care context, is defined as "the empathic support, counselling and education to improve coping skills, and optimize selfcare of persons living with diabetes, so that psychological well-being can be optimized." Various models can help provide structured psychological first aid. We feel that each and every health care provider should be able to provide effective first aid, including psychological first aid.

Foot self-care behaviour in primary care patients with diabetic foot ulcers: Structural equation modelling of psychological predictors.

Diabetic foot ulcers (DFUs) are one of the most prevalent and costly diabetes complications, associated with diminished quality of life and poor prognosis. Management of DFUs relies heavily on patients' foot self-care behaviour. This study aims to explore psychological determinants of this important behaviour among primary care patients. A total of 186 patients with active DFUs self-reported their illness perception, diabetes distress, self-efficacy, and foot self-care behaviour. Structural equation modelling was performed to examine interrelationships among measured variables. The final model demonstrated satisfactory fit, CFI = 0.933, TLI = 0.913, RMSEA = 0.050, SRMR = 0.073, χ2(95) = 132.256 (p = 0.004), and explained 51.1% of the variance of foot self-care. Illness threat perceptions (i.e., consequence, timeline, identity, concern, and emotion) had a direct positive effect on foot self-care behaviours, but also indirectly decreased foot self-care through increasing diabetes distress. Control perceptions (i.e., personal control, treatment control, and coherence) were not directly associated with foot self-care behaviours, but indirectly improved foot self-care by reducing diabetes distress and increasing foot care confidence. These findings suggest illness perceptions, diabetes distress, and self-care confidence as modifiable predictors to be targeted in self-management interventions for patients with DFUs.

Reduced heart rate variability in people with type 1 diabetes and elevated diabetes distress: Results from the longitudinal observational DIA-LINK1 study.

AIMS: People with type 1 diabetes have a higher risk for cardiovascular disease (CVD). Reduced heart rate variability (HRV) is a clinical marker for CVD. In this observational study using continuous HRV measurement across 26 days, we investigated whether psychological stressors (diabetes distress, depressive symptoms) and glycaemic parameters (hypo- and hyperglycaemic exposure, glycaemic variability and HbA1c ) are associated with lower HRV in people with type 1 diabetes. METHODS: Data from the non-interventional prospective DIA-LINK1 study were analysed. At baseline, depressive symptoms and diabetes distress were assessed. Glucose values and HRV were recorded daily for 26 days using continuous glucose monitoring (CGM) and a wrist-worn health tracker respectively. Multilevel modelling with participant as nesting factor was used to analyse associations between day-to-day HRV and diabetes distress, depressive symptoms and CGM-derived parameters. RESULTS: Data from 149 participants were analysed (age: 38.3 ± 13.1 years, HbA1c : 8.6 ± 1.9%). Participants with elevated diabetes distress had a significantly lower HRV across the 26 days compared to participants without elevated distress (ß = -0.28; p = 0.004). Elevated depressive symptoms were not significantly associated with HRV (ß = -0.18; p = 0.074). Higher daily exposure to hyperglycaemia (ß = -0.44; p = 0.044), higher average exposure to hypoglycaemia (ß = -0.18; p = 0.042) and higher HbA1c (ß = -0.20; p = 0.018) were associated with reduced HRV across the 26 days. Sensitivity analysis with HRV averaged across all days corroborated these results. CONCLUSIONS: Diabetes distress is a clinically meaningful psychosocial stressor that could play a role in the cardiovascular health of people with type 1 diabetes. These findings highlight the need for integrated psychosocial care in diabetes management.

Associations between disordered eating behaviour, diabetes distress and emotion regulation strategies in adults with type 1 diabetes: Results from a Dutch-Italian cross-sectional study.

AIMS: Disordered eating behaviour (DEB) and diabetes distress are prevalent in adults with type 1 diabetes (T1D). Emotion regulation strategies, such as cognitive reappraisal and expressive suppression, are associated with DEB and managing stress in general. Here we examine the associations between DEB, diabetes distress, and emotion regulation strategies in the context of T1D. METHODS: Adults with T1D in The Netherlands and Italy completed an online survey, covering DEB (DEPS-R), diabetes distress (PAID-5), and emotion regulation strategies (ERQ). Associations between DEB, diabetes distress, and emotion regulation strategies were examined using path analysis. RESULTS: N = 291 participants completed the survey (78.9% women, 39 ± 13 years, HbA1c : 55 ± 16 mmol/mol (7.2% [3.6%]); TIR: 66% ± 25). N = 79 participants (27.1%) reported DEB (DEPS-R ≥ 20) and n = 159 participants (54.6%) reported elevated diabetes distress (PAID-5 ≥ 8). The path analysis, with small-to-medium effect sizes, revealed that more diabetes distress was associated with more DEB (ß = 0.23, 95% CI [0.13, 0.34]). Less diabetes distress was associated with more use of cognitive reappraisal (ß = -0.24, 95% CI [-0.36, -0.12]). More DEB was associated with more use of expressive suppression (ß = 0.14, 95% CI [0.04, 0.24]). CONCLUSIONS: This cross-sectional study suggests an association between DEB and diabetes distress, between cognitive reappraisal and less diabetes distress and between expressive suppression and more DEB. The results suggest that it may prove beneficial to prioritize strengthening emotion regulation strategies in interventions for people with T1D and DEB. Future research should help clarify causality with regard to emotion regulation and DEB in adults with T1D.

Significant reduction in diabetes distress and improvements in psychosocial outcomes: A pilot test of an intervention to reduce diabetes distress in adults with type 1 diabetes and moderate-to-severe diabetes distress (REDUCE).

AIM: To pilot-test an intervention, co-designed with people with type 1 diabetes (T1DM) and diabetes specialist nurses, to reduce diabetes distress (DD) in adults with T1DM and moderate-to-severe DD. METHODS: A group-based programme to reduce DD in people with T1DM and moderate-to-severe DD (REDUCE) was pilot-tested in four groups with five bi-weekly two and a half-hour meetings facilitated by two trained diabetes specialist nurses. Data collection included baseline and post-intervention questionnaires measuring DD and psychosocial outcomes and semi-structured interviews with participants post-intervention (n = 18). Data were analysed using descriptive statistics and systematic text condensation. RESULTS: Twenty-five adults with T1DM participated in the study. The median age and diabetes duration of participants were 50 (IQR: 32;57.5) years and 26 (IQR: 18;45) years, respectively. Seventeen (68%) were women. The pilot study showed a significant reduction in DD (measured by Type 1 Diabetes Distress Scale) between baseline and post-intervention from 2.6 ± 0.7 to 1.9 ± 0.6 (mean ± SD) (p < 0.001). The largest reductions were seen on the subscales: powerlessness 1.2 ± 1.1, eating distress 0.9 ± 1.2 and fear of hypoglycaemia 0.8 ± 1.0 (mean ± SD). Significant improvements were also seen for quality of life, diabetes empowerment and emotion regulation. Qualitative data showed that REDUCE supported participants in verbalizing emotions and seeing worries in a more constructive perspective. Acknowledgement of negative diabetes experiences eased negative self-judgments. Sharing experiences among peers increased relatedness and reduced loneliness. CONCLUSION: Participation in REDUCE was associated with significant reduction in DD and significant increase in quality of life. Larger scale studies are planned to determine sustained effectiveness of REDUCE.

Diabetes distress mediates the relationship between depressive symptoms and glycaemic control among adults with type 2 diabetes: Findings from a multi-site diabetes peer support intervention.

AIMS: Diabetes distress is positively associated with HbA1c and may mediate the relationship between depressive symptoms and HbA1c . This study examined these relationships in a geographically, socioeconomically, and ethnically diverse sample of adults with type 2 diabetes. METHODS: Using data from five US sites evaluating peer support for diabetes management (n = 917), Structural Equation Modeling (SEM) examined whether diabetes distress (four items from Diabetes Distress Scale) mediated the relationship between depressive symptoms (PHQ-8) and HbA1c . Sites compared interventions of varying content and duration with control conditions. Time from Baseline Assessment to Final Assessment varied from six to 18 months. Site characteristics were controlled by entering site as a covariate along with age, sex, education, diabetes duration, insulin use, and intervention/control assignment. RESULTS: Depressive symptoms, diabetes distress, and HbA1c were all intercorrelated cross-sectionally and from Baseline to Final Assessment (rs from 0.10 to 0.57; ps <0.05). In SEM analyses, diabetes distress at Final Assessment mediated the relationship between Baseline depressive symptoms and HbA1c at Final Assessment (indirect effect: b = 0.031, p < 0.001), controlling for Baseline HbA1c and covariates. Parallel analysis of whether depressive symptoms mediated the relationship between Baseline diabetes distress and HbA1c at Final Assessment was not significant. CONCLUSIONS: In this diverse sample, diabetes distress mediated the influence of depressive symptoms on HbA1c but the reverse, depressive symptoms mediating the effect of distress, was not found. These findings add to the evidence that diabetes distress is a worthy intervention target to improve clinical status and quality of life among individuals with type 2 diabetes.