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Aims: To identify 11-year HbA 1c trajectories in children/adolescents with type 1 diabetes and determine whether baseline caregiver- and/or child/adolescent-reported Adherence in Diabetes Questionnaire (ADQ) scores and multiple covariates predict HbA 1c trajectory membership., Methods: For a 2009 population-based cohort of children/adolescents with type 1 diabetes, we analyzed HbA 1c follow-up (2010-2020) data from Danish diabetes registries. HbA 1c trajectories were identified with group-based trajectory modeling. Using multinomial logistic regression, we tested whether ADQ scores predicted trajectory membership when adjusting for sex, age at diabetes diagnosis, diabetes duration, family structure, and caregiver education., Results: For 671 children/adolescents (10-17 years at baseline) with 5644 HbA 1c observations over 11 years, four trajectories/groups were identified: 1) "on target, gradual decrease" (27%), 2) "above target, mild increase then decrease" (39%), 3) "above target, moderate increase then decrease" (25%), and 4) "well above target, large increase then decrease" (9%). Using group one as the reference, lower caregiver-reported ADQ scores predicted group 2, 3, and 4 membership. Lower child/adolescent-reported ADQ scores predicted group 3 and 4 membership. Low caregiver education predicted group 3 and 4 membership. Single-parent status predicted group 4 membership., Conclusions: ADQ scores and socio-demographics may serve as tools to predict glycemic control in youth with type 1 diabetes., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Aims: To determine 1) the prevalence of symptoms of overeating (OE), subclinical binge eating (SBE) and clinical binge eating (CBE), in adolescents with type 1 diabetes (T1D), and 2) their associations with quality of life (QoL), anxiety, depression, HbA 1c , and body mass index standard deviation score (BMISDS)., Methods: In total 506 adolescents (age 12-17 years; mean 14.7 years; girls 49%) from the Danish Registry for Diabetes in Childhood and Adolescence (DanDiabKids) were included. Participants completed questionnaires on disordered eating, QoL, and emotional difficulties. A blood sample was sent for HbA 1c determination. BMISDS was determined from the DanDiabKids data., Results: Prevalence rates of OE, SBE, and CBE were 8.4%, 18% and 7.9% respectively. Youth with CBE symptoms scored lowest on generic and diabetes specific QoL, highest on anxiety and depression symptoms, and had a higher HbA 1c. Youth with CBE had borderline increased BMISDS., Conclusions: In a Danish national survey of adolescents with T1D, approximately one-third of participants had overeating or binge eating symptoms, comparable with the numbers in a U.S T2D population. Increased binge eating symptoms associated with lower QoL, higher depression scores, higher anxiety scores, and poorer clinical outcomes. Binge eating symptoms were markers for poor mental and somatic health., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Having a psychiatric disorder may increase the risk of developing type 2 diabetes[T2D] and this umbrella review aims to determine whether people with a psychiatric disorder have an increased risk of developing T2D and to investigate potential underlying mechanisms. A literature search was performed to identify systematic reviews of longitudinal studies investigating different psychiatric disorders as risk factors for incident T2D in humans (≥18 years). A total of 8612 abstracts were identified, 180 full-text articles were read, and 25 systematic reviews were included. Six categories of psychiatric disorders were identified. Except for eating disorders, all psychiatric disorders were associated with increased risk of incident T2D ranging from RR = 1.18 [95% CI 1.12-1.24] to RR = 1.60 [95% CI 1.37-1.88] for depression; from RR = 1.27 [95% CI 1.19-1.35] to OR = 1.50 [95% CI 1.08-2.10] for use of antidepressant medication; from OR = 1.93 [1.37-2.73] to OR = 1.94 [1.34-2.80] for use of antipsychotic medication; from RR = 1.55 [95% CI 1.21-1.99] to RR = 1.74 [95% CI 1.30-2.34] for insomnia, and finally showed OR = 1.47 [95% CI 1.23-1.75] for anxiety disorders. Plausible underlying mechanisms were discussed, but in most reviews corrections for mechanisms did not explain the association. Notable, only 16% of the systematic reviews had a high methodological quality., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

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., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Aims: Diabetes self-care outcomes are positively impacted by social support. Understanding the mechanisms involved can inform more effective interventions. This study tested potential cross-sectional mediation of social support through self-efficacy and diabetes distress for self-care and clinical outcomes (diet, physical activity, blood glucose monitoring, HbA 1c )., Method: We analysed a sub-sample of the Australian Diabetes MILES-2 cross-sectional online survey (N = 1727). Measures were: Diabetes Social Support Scale, Confidence in Diabetes Self-care Scale, Problem Areas In Diabetes scale, diet and physical activity subscales of the Summary of Diabetes Self-Care Activities, and self-reported HbA 1c . Separate mediation path models were tested for each of the four self-care/clinical outcomes in groups with type 1 and type 2 (insulin- and non-insulin-treated) diabetes., Results: Social support was associated with more optimal self-care and self-reported HbA 1c outcomes. When diabetes-specific self-efficacy and distress were included as mediators, the direct path from social support became non-significant. Conversely, the indirect effects of social support through diabetes-specific self-efficacy and distress were significant across all diabetes groups and outcomes., Conclusion: Diabetes-specific self-efficacy and distress may be important mechanisms linking social support with diabetes self-care and clinical outcomes. Social support interventions could explore whether improving diabetes self-efficacy and decreasing diabetes distress could help improve self-care., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Aims: To investigate the validity and reliability of the 6-item DAWN2 Impact of Diabetes Profile (DIDP), and the modified 7-item DIDP, which includes assessment of dietary freedom., Methods: The online, cross-sectional, Australian MILES-2 survey included the DIDP and other validated measures, to examine convergent, discriminant and known-groups validity. The DIDP was completed by 2207 adults with diabetes (Type 1: n = 1012; Type 2 insulin: n = 504; non-insulin: n = 691). Data were subjected to exploratory factor analysis, internal consistency reliability and univariate statistics, conducted separately by diabetes type/treatment., Results: The DIDP was highly acceptable: 99% completion rate. One-factor solutions were supported for the 6-item and 7-item DIDP scales, in all diabetes type/treatment groups (variance explained range: 6-item: 59-67%, 7-item: 55-62%), with satisfactory internal consistency (α = 0.85-0.90). Known-groups validity was demonstrated, by diabetes type and complications presence/absence, as was satisfactory convergent and discriminant validity., Conclusions: The DIDP meets the need for a brief, contemporary, valid and reliable measure of the perceived impact of diabetes on quality of life, suitable for adults with Type 1 or Type 2 diabetes mellitus. The 6-item and 7-item scales have psychometric equivalence. Use of the seventh item can be informed by research questions., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Aims: To examine whether diabetes distress (DD), when measured by three different instruments, was associated differently with self-efficacy, self-care activity, medication adherence and disease control in people with Type 2 diabetes mellitus., Methods: A cross-sectional study in three health clinics. DD was assessed with the 17-item Diabetes Distress Scale, the 2-item DDS-2 (DDS-2) and the 5-item Problem Areas in Diabetes Scale (PAID-5). Dependent variables included self-efficacy, self-care activities, medication adherence, HbA 1c , systolic and diastolic blood pressure (SBP, DBP). Multiple linear and logistic regression were used in analyses., Results: In total 338 participants (56% women), with a mean age of 61 years and diabetes duration of 9.8 years, were included. DDS-2 was an independent determinant of SBP (β = 1.89, 95% CI 0.14, 3.64), DBP (β = 1.19, 95% CI 0.16, 2.21) and blood pressure target (OR = 2.09, 95% CI 1.12, 3.83). PAID-5 was an independent determinant of medication adherence (adjusted β = -0.05, 95% CI -0.08, -0.01) and self-care activities (OR = 0.50, 95% CI 0.26, 0.99)., Conclusions: Associations of DD with important aspects of diabetes care are substantially influenced by confounders and depend on the way DD is measured. Our findings call for a judicious use of different DD measures in clinical practice and research. The study is registered on ClinicalTrials.gov (NCT02730754)., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Aims: Screening for depression is recommended internationally. The World Health Organization's 5-item Well-being Index (WHO-5) is used clinically to screen for depression but its empirical suitability for this purpose is not well documented. We investigated the psychometric properties of the WHO-5 and its suitability for identifying likely depression in Australian adults with diabetes., Methods: The Diabetes MILES - Australia study dataset provided a sample of N=3249 who completed the WHO-5 (positively-worded 5-item measure of emotional well-being) and the PHQ-9 (9-item measure of depressive symptoms). Analyses were conducted for the full sample, and separately by diabetes type and treatment (type 1, non-insulin-treated type 2, and insulin-treated type 2 diabetes). Construct (convergent and factorial) validity and reliability of the WHO-5 were examined. ROC analyses were used to examine the sensitivity and specificity of the WHO-5 as a depression screening instrument, comparing two commonly used WHO-5 cut-off values (≤7 and <13) with the PHQ-9., Results: For the whole sample, the WHO-5 demonstrated satisfactory internal consistency reliability (α=0.90) and convergent validity with the PHQ-9 (r=-0.73, p<0.001). Confirmatory factor analysis partially supported factorial validity: Χ 2 (5)=834.94, p<0.001; RMSEA=0.23, 90% CI 0.21-0.24; CFI=0.98, TLI=0.96; factor loadings=0.78-0.92. The AUC was 0.87 (95% CI: 0.86-0.89, p<0.001). The sensitivity/specificity of the WHO-5 for detecting likely depression was 0.44/0.96 for the ≤7 cut-off, and 0.79/0.79 for the <13 cut-off, with similar findings by diabetes type and treatment., Conclusions: These findings support use of a WHO-5 cut-point of <13 to identify likely depression in Australian adults with diabetes, regardless of type/treatment., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Aims: Despite growing recognition of the impact of sleep on diabetes, a clear profile of people with diabetes regarding subjective sleep impairment has yet to be established. This study examines: (1) subjective sleep characteristics in adults with type 1 and type 2 diabetes; (2) the relationship of poor subjective sleep quality with glycaemic control, self-care and daytime functioning; (3) possible risk markers for poor sleep quality., Methods: In a cross-sectional study, Dutch adults with type 1 (n=267) or type 2 diabetes (n=361) completed an online survey, including the Pittsburgh Sleep Quality Index (PSQI), socio-demographic, clinical, self-care and psychological measures., Results: Poor sleep quality (PSQI-score >5) was reported by 31% of adults with type 1 and 42% of adults with type 2 diabetes. Participants with good and poor sleep quality did not differ in self-reported HbA1c or the frequency of meeting lifestyle recommendations. Poor sleep quality was related to a higher self-care burden and higher levels of daytime sleepiness, fatigue, depressive and anxiety symptoms, and diabetes-specific distress. In multivariable logistic regression analyses examining risk markers, poor sleep quality was associated with depressive symptoms in adults with type 1 (OR=1.39, 95% CI 1.25-1.54) and type 2 diabetes (OR=1.31, 1.16-1.47), and with being female in those with type 2 diabetes (OR=2.72, 1.42-5.20)., Conclusions: Poor subjective sleep quality is prevalent both in adults with type 1 and type 2 diabetes, and is related to poor daytime functioning and higher self-care burden. The temporal relation with depression and merits of therapy should be explored., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Aims: Type D personality - defined as high negative affectivity (NA) and high social inhibition (SI) - has been associated with adverse cardiovascular prognosis. We explored the differential associations of Type D personality and its constituent components with health behaviors, emotional distress and standard biomedical risk factors as potential risk mechanisms in adults with diabetes., Methods: 3314 Dutch adults with self-reported type 1 or 2 diabetes completed an online survey, including the DS14 Type D Scale. AN(C)OVAs and X(2) tests were used to compare participants scoring (i) low on NA and SI; (ii) high on SI only; (iii) high on NA only; (iv) high on NA and SI (Type D)., Results: Participants with Type D personality (29%) were less likely to follow a healthy diet or to consult healthcare professionals in case of problems with diabetes management than those scoring high on neither or only one component. They also reported more barriers surrounding medication use, diabetes-specific social anxiety, loneliness and symptoms of depression and anxiety. There were no differences in standard biomedical risk factors (body mass index, blood pressure, cholesterol, HbA1c). After adjustment for demographics, clinical characteristics, NA, and SI in multivariable logistic regression analyses, Type D personality was independently associated with 2 to 3-fold increased odds of suboptimal health behaviors and over 15-fold increased odds of general emotional distress., Conclusions: Type D personality was not related to standard biomedical risk factors, but was associated with unhealthy behaviors and negative emotions that are likely to have adverse impact on adults with diabetes., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Aim: To examine the emotional well-being of severely obese Australians with type 2 diabetes, along with markers of social and economic disadvantage, using the Diabetes MILES - Australia dataset., Methods: Diabetes MILES - Australia was a national survey of 3338 adults with diabetes that focused on psychosocial issues; 1795 had type 2 diabetes and reported BMI. We extracted data regarding depression (PHQ-9), anxiety (GAD-7), obesity- and diabetes-related comorbidities, and demographics. The severely obese group (SOG) (BMI ≥ 35; median BMI=41.6) constituted 530 (30%) of the type 2 diabetes respondents and was matched with 530 controls (CG) (BMI<35; median BMI=28.2). Within- and between-group trends were examined., Results: The SOG had higher depression scores (median (IQR) 6.0 (3-12)) than CG (5.0 (2-10)); p<0.001, and were more likely to report moderate-severe depressive symptoms (37% versus 27%; p<0.001). The groups did not differ on anxiety. The SOG, compared with the CG, were more likely to live alone (21% versus 17%), receive a disability pension (21% versus 15%), earn ≤$40.000/year (51% versus 41%; all p<0.05), and were less likely to be employed (46% versus 53%), university or higher educated (17% versus 26%), or have health insurance (50% versus 60%; all p ≤ 0.01). Moderate-severe depression was positively associated with cumulative stressors of severe obesity, socioeconomic disadvantage, and obesity- and diabetes-related comorbidity., Conclusions: Severely obese people living with type 2 diabetes have cumulative stressors related to health, disability, demographic and socioeconomic factors, and impaired emotional well-being., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Aim: To investigate differences in access to services and health outcomes between people living with Type 1 (T1DM) and Type 2 (T2DM) diabetes in rural/regional and metropolitan areas., Methods: Diabetes MILES--Australia was a national postal/online survey of persons registered with the National Diabetes Services Scheme. Selected variables, including utilisation of health care services and self-care indicators, were analysed for 3338 respondents with T1DM (41%) or T2DM (59%)., Results: Respondents from rural/regional (n=1574, 48%) and metropolitan areas were represented equally (n=1700, 52%). After adjusting for diabetes duration, demographic and socioeconomic variables, rural/regional respondents with T1DM (RR 0.90, 95% CI 0.83-0.97) and T2DM (RR 0.69, 95% CI 0.59-0.81) were less likely to report consulting an endocrinologist during the past 12 months. Rural/regional respondents with T1DM were more than twice as likely to have accessed a community/practice nurse for diabetes care (RR 2.22, 95% CI 1.25-3.93) while those with T2DM were more likely to have accessed a diabetes educator (RR 1.21, 95% CI 1.07-1.36) or dietician (RR 1.17, 95% CI 1.07-1.36). For the T1DM and T2DM groups were no differences between rural/regional and metropolitan respondents in self-reported hypoglycaemic events during past week and the majority of self-care indicators., Conclusions: Despite a lack of access to medical specialists, respondents with T1DM and T2DM living in rural/regional areas did not report worse health or self-care indicators. The results suggest that multidisciplinary primary services in rural areas may be providing additional care for people with diabetes, compensating for poor access to specialists., (Crown Copyright © 2013. Published by Elsevier Ireland Ltd. All rights reserved.)

Aims: The Diabetes Attitudes Wishes and Needs 2 (DAWN2) study aims to provide a holistic assessment of diabetes care and management among people with diabetes (PWD), family members (FM), and healthcare professionals (HCPs) and explores potential drivers leading to active management., Methods: DAWN2 survey over 16,000 individuals (∼9000 PWD, ∼2000 FM of PWD, and ∼5000 HCPs) in 17 countries across 4 continents. Respondents complete a group-specific questionnaire; items are designed to allow cross-group comparisons on common topics. The questionnaires comprise elements from the original DAWN study (2001), as well as psychometrically validated instruments and novel questions developed for this study to assess self-management, attitudes/beliefs, disease impact/burden, psychosocial distress, health-related quality of life, healthcare provision/receipt, social support and priorities for improvement in the future. The questionnaires are completed predominantly online or by telephone interview, supplemented by face-to-face interviews in countries with low internet access. In each country, recruitment ensures representation of the diabetes population in terms of geographical distribution, age, gender, education and disease status., Discussion: DAWN2 aims to build on the original DAWN study to identify new avenues for improving diabetes care. This paper describes the study rationale, goals and methodology., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Five personality characteristics were assessed in 312 adolescent boys and girls, and investigated in relation to the change in body fat percentage over 22 years of follow up. Boys with low levels of Social Inadequacy and girls with high levels of Recalcitrance showed relatively large gains in body fat percentage.

It has been hypothesized that coverage of diabetes-specific issues (e.g. coping with complications, incapacity, pain) during psychotherapy may optimize the likelihood of treatment success for depression in patients with diabetes. However, it is still unclear how often depression is confounded by diabetes-specific emotional problems. We aim to determine the levels of diabetes-specific emotional problems in diabetic individuals with high versus low levels of depression in a sample of 539 outpatients with diabetes (202 Dutch, 185 Croatian and 152 English). Subjects completed the Center for Epidemiological Studies Depression and the Problem Areas in Diabetes scales. Percentages of patients with high depression scores were: 39 and 34% (Croatian men and women), 19 and 21% (Dutch men and women), 19 and 39% (English men and women). Moreover, 79% (Croatian), 47% (Dutch) and 41% (English) of the patients with a severe depression score reported to have four or more serious diabetes-specific emotional problems. For patients with low depression scores, these percentages were: 29% (Croatian), 11% (Dutch) and 1% (English). Serious diabetes-specific emotional problems are particularly prevalent in depressed diabetes patients. Randomized controlled trials are warranted to test whether coverage of diabetes-specific issues during psychotherapy can further improve the treatment of depression in diabetes.