Updated Psychosocial Surveys With Continuous Glucose Monitoring Items for Youth With Type 1 Diabetes and Their Caregivers.

AIM: We added items relevant to continuous glucose monitoring (CGM) to the Diabetes Family Conflict Scale (DFC), Diabetes Family Responsibility Questionnaire (DFR), and Blood Glucose Monitoring Communication Questionnaire (GMC) and evaluated the psychometric properties of the updated surveys. RESEARCH DESIGN AND METHODS: Youth with type 1 diabetes who recently started CGM and their parents completed the updated surveys and additional psychosocial surveys. Medical data were collected from self-reports and review of the medical record. RESULTS: Youth (N = 114, 49% adolescent girls) were aged 13.3 ± 2.7 years and had mean glycated hemoglobin (HbA1c) 7.9 ± 0.9%; 87% of them used pump therapy. The updated surveys demonstrated high internal consistency (DFC youth: α = .91, parent: α = .81; DFR youth: α = .88, parent: α = .93; and GMC youth: α = .88, parent: α = .86). Higher youth and parent DFC scores (more diabetes-specific family conflict) and GMC scores (more negative affect related to glucose monitoring) were associated with more youth and parent depressive symptoms (r = 0.28-0.60, P ≤ .003), more diabetes burden (r = 0.31-0.71, P ≤ .0009), more state anxiety (r = 0.24 to r = 0.46, P ≤ .01), and lower youth quality of life (r = -0.29 to -0.50, P ≤ .002). Higher youth and parent DFR scores (more parent involvement in diabetes management) were associated with younger youth age (youth: r = -0.76, P < .0001; parent: r = -0.81, P < .0001) and more frequent blood glucose monitoring (youth: r = 0.27, P = .003; parent: r = 0.35, P = .0002). CONCLUSIONS: The updated DFC, DFR, and GMC surveys maintain good psychometric properties. The addition of CGM items expands the relevance of these surveys for youth with type 1 diabetes who are using CGM and other diabetes technologies.

Ecological Momentary Assessment of Positive and Negative Affect and Associations with Blood Glucose in Teens with Type 1 Diabetes.

BACKGROUND: Affect (i.e., emotions) can be associated with diabetes self-care and ambient glucose in teens with type 1 diabetes (T1D). We used momentary sampling to examine associations of daily affectwithblood glucose (BG) monitoring,BG levels,and BG variability in teens with T1D. METHOD: Over 2 weeks, 32 teens reported positive and negative affect (Positive and Negative Affect Scale) and BG levels on handheld computers 4x/day, coordinated with planned daily BG checks. BG values were classified as: in-range (70-180 mg/dL); low (<70 mg/dL); severe low (<54 mg/dL); high (>180 mg/dL); severe high (>250 mg/dL). Daily BG variability was derived from BG coefficient of variation (BGCV). To determine associations of positive and negative affect with BG checks, BG levels, and BGCV, separate generalized estimating equations were performed, adjusting for demographic and diabetes-related variables, for the overall sample and stratified by HbA1c (≤8%, >8%). RESULTS: Teens (44% male, ages 14-18, 63% pump-treated, HbA1c 8.8 ± 1.4%) reported 51% in-range, 6% low (2% severe low), and 44% high (19% severe high) BG. In teens with HbA1c ≤8%, positive affect was associated with in-range BG (OR = 1.08, 95% CI = 1.04-1.13, P = .0002), reduced odds of very low glucose (OR = 0.35, 95% CI = 0.16-0.74, P = .006), and less daily BGCV (ß = -0.9; 95% CI = -1.6, -0.2; P = .01). In teens with HbA1c >8%, negative affect was associated with less likelihood of checking BG (OR = 0.75, 95% CI = 0.64-0.87, P = .0003). CONCLUSIONS: Our findings shed light on individual differences in metabolic reactivity based on glycemic levels and the importance of incorporating affect into automated insulin delivery systems.

Memory complaints moderate the concordance between self-report and electronically monitored adherence in adults with type 2 diabetes.

AIMS: We examined the impact of memory complaints on the concordance between self-report (SR) and electronically monitored (EM) medication adherence, independent of depression symptoms, among adults with type 2 diabetes (T2D). METHODS: Adults (N = 104, age = 56.6 ± 9.2; 64% female) completed a prospective and retrospective memory questionnaire (PRMQ) and a depression symptom interview at baseline. EM was tracked over 3 months and participants rated adherence using SR. Multiple linear regression evaluated PRMQ as a moderator of the relationship between EM and SR, adjusting for depression and other covariates. RESULTS: PRMQ was correlated with lower SR (r = -0.31, p = 0.001), but not with EM. PRMQ moderated the relationship between SR and EM, independent of depression symptoms. At low levels of PRMQ, SR and EM were closely related (ß = 0.76, p < 0.001); at high levels of PRMQ the relationship was weaker (ß = 0.28, p = 0.02). Participants who under-reported their adherence (SR < EM) had higher PRMQ scores than more concordant reporters (p = 0.016). CONCLUSIONS: SR and EM measures were less concordant among adults with T2D who endorsed higher PRMQ scores. Memory complaints may contribute to under-reporting of medication adherence in adults with T2D.

Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes.

Monitoring of glucose plays an essential role in the management of diabetes. However, to fully understand and meaningfully interpret glucose levels, additional information on context is necessary. Important contextual factors include data on behaviours such as eating, exercise, medication-taking and sleep, as well as data on mental health aspects such as stress, affect, diabetes distress and depressive symptoms. This narrative review provides an overview of the current state and future directions of precision monitoring in diabetes. Precision monitoring of glucose has made great progress over the last 5 years with the emergence of continuous glucose monitoring (CGM), automated analysis of new glucose variables and visualisation of CGM data via the ambulatory glucose profile. Interestingly, there has been little progress in the identification of subgroups of people with diabetes based on their glycaemic profile. The integration of behavioural and mental health data could enrich such identification of subgroups to stimulate precision medicine. There are a handful of studies that have used innovative methodology such as ecological momentary assessment to monitor behaviour and mental health in people's everyday life. These studies indicate the importance of the interplay between behaviour, mental health and glucose. However, automated integration and intelligent interpretation of these data sources are currently not available. Automated integration of behaviour, mental health and glucose could lead to the identification of certain subgroups that, for example, show a strong association between mental health and glucose in contrast to subgroups that show independence of mental health and glucose. This could inform precision diagnostics and precision therapeutics. We identified just-in-time adaptive interventions as a potential means by which precision monitoring could lead to precision therapeutics. Just-in-time adaptive interventions consist of micro-interventions that are triggered in people's everyday lives when a certain problem is identified using monitored behaviour, mental health and glucose variables. Thus, these micro-interventions are responsive to real-life circumstances and are adaptive to the specific needs of an individual with diabetes. We conclude that, with current developments in big data analysis, there is a huge potential for precision monitoring in diabetes.

Health-related quality of life in youth with type 1 diabetes: Associations with multiple comorbidities and mental health conditions.

AIM: This cross-sectional study examined the associations of comorbid conditions on health-related quality of life (HRQOL) in 601 youth with type 1 diabetes. We evaluated associations between number of comorbid conditions (0, 1, ≥2) and particular comorbid conditions and youth HRQOL by self-report and parent proxy-report. RESEARCH DESIGN AND METHODS: Youth with type 1 diabetes, aged 5-18 years, and their parents completed the PedsQL 4.0 Generic Core Scales self-report and parent proxy-report, respectively; they also reported youths' comorbid medical and mental health conditions. Separate linear regression models tested the relationship between number of comorbid conditions and specific comorbid conditions with youth-reported and parent proxy-reported HRQOL. RESULTS: Youth with ≥2 comorbid conditions had significantly lower HRQOL by both self- and parent proxy-reports compared with youth with 0 or 1 comorbid condition (youth self-report: 0: 85 ± 12, 1: 85 ± 13, 2+: 78 ± 16, p = <0.0001; parent proxy-report: 0: 83 ± 12, 1: 81 ± 13, 2+: 74 ± 15, p = <0.0001). Amongst the comorbid conditions, only a mental health comorbidity was associated with lower HRQOL. For youth and parent proxy-reports, both the number of comorbidities (≥2) and the presence of a mental health comorbidity were significantly associated with lower HRQOL. CONCLUSIONS: Health-related quality of life seems to be preserved in youth with type 1 diabetes unless confronted by multiple comorbidities as reported by youth and their parents. Our findings highlight the importance of tracking the presence of multiple comorbid conditions, possibly by reviewing problem and medication lists in the medical record, as well as screening for and addressing mental health conditions in routine diabetes care.

Associations of diabetes self-management characteristics, HbA1c, and psychosocial outcomes with depressive symptoms in a contemporary sample of adolescents with type 1 diabetes.

AIMS: We sought to examine the associations between diabetes self-management, HbA1c, and psychosocial outcomes with the frequency of depressive symptoms. METHODS: We surveyed 301 teens (50% male, 22% non-white), mean age of 15.0±1.3 years, diabetes duration of 6.5±3.7 years. Biomedical variables: daily frequency of blood glucose monitoring of 4.5±1.9, 63% insulin pump use, mean HbA1c 8.5±1.1% (69±12 mmol/mol); 15% of the sample achieved the target HbA1c of <7.5% (<58 mmol/mol). RESULTS: Nearly 1 in 5 (18%, n=54) adolescents reported significant depressive symptoms and, of those participants, slightly under half reported moderate/severe depressive symptoms. Teens with moderate/severe depressive symptoms (CES-D scores ≥24) were more likely to be female, have parents without a college education, and not utilize insulin pumps. Teens with more depressive symptoms reported higher diabetes family conflict, higher diabetes burden, and lower quality of life. In the group reporting no depressive symptoms (10%), scores on psychosocial variables and diabetes treatment variables were the most favorable. CONCLUSION: In our sample, the presence of depressive symptoms appears to relate to both diabetes treatment and quality of life. In addition, studying teens without depressive symptoms can help us learn more about protective factors that potentially buffer against depressive symptoms and that are associated with better outcomes.

Mental Health Providers' Assessment of Parents' Reactions to their Children's Elevated Depressive Symptoms.

This study assessed parental reactions to the report of elevated depressive symptoms in a sample of 29 youth with type 1 diabetes (ages 8-17 years; 48% female) who scored ≥15 on the Center for Epidemiologic Studies Depression Scale for Children (CES-DC). We also assessed parental depressive symptoms and how the presence of such symptoms was linked to parental reactions to the report of a positive screening score in their children and subsequent acceptance of a mental health referral. Mental health professionals contacted parents to discuss elevated scores and offer a mental health referral. Two coders reviewed the documentation of phone contacts made by mental health professionals and categorized parental responses to their child's elevated CES-DC score and the disposition plan. Youth and parent depressive symptoms were modestly correlated (r = 0.21, P = .01). About half (55%, 16/29) of parents were unaware of their child's depressive symptoms. Only 14% (4/29) of youth were already receiving mental health care while 28% (8/29) of parents accepted a referral. Parents with depressive symptoms were frequently unaware of their child's symptoms. Findings provide insight into parental reactions to learning of their child's depressive symptoms and highlight the need for more research on parental mood and reactions to their child's positive screen for depressive symptoms, as a potential barrier to mental health referral acceptance.

Depressive symptom dimensions and medication non-adherence in suboptimally controlled type 2 diabetes.

AIMS: Research suggests differential effects for somatic and cognitive-affective depressive symptoms in predicting health outcomes. This study evaluated differential relations with medication non-adherence among disadvantaged, and predominantly immigrant adults with sub-optimally controlled type 2 diabetes (T2D). METHODS: Health plan members taking oral diabetes medication and who had A1c ≥ 7.5% were recruited for a trial of telephonic self-management support. A subset (n = 376; age, M = 55.6 ±â€¯7.2 years; A1c M = 9.1% ±â€¯1.6) completed the Patient Health Questionnaire-8 (PHQ-8). Diabetes medication adherence was measured by self-report and claims-based records. Multivariable logistic regression modeled depressive symptoms and odds of non-adherence using pre-intervention data. RESULTS: A positive PHQ-8 screen (OR = 2.72 [95%CI: 1.56-4.73]) and each standard deviation increase in PHQ-8 score (OR = 1.40 [95%CI: 1.11-1.75]) were associated with non-adherence, with no independent effects for somatic versus cognitive-affective symptoms. Exploration of individual symptoms identified three significantly associated with non-adherence in covariate-adjusted models; after adjustment for likely presence of clinical depression, only fatigue was independently associated with non-adherence (OR = 1.71 [95%CI: 1.06-2.77]). CONCLUSIONS: Findings support depression symptom severity as a significant correlate of medication non-adherence among disadvantaged adults with T2D. Support was limited for differential associations for symptom dimensions, but findings suggest that fatigue may be associated with non-adherence independent of the likely presence of depression.

Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes.

OBJECTIVE: We conducted comprehensive assessments of emotional distress to examine relations with diabetes medication adherence over time. RESEARCH DESIGN AND METHODS: Ethnically and socioeconomically diverse adults treated for type 2 diabetes completed validated self-reports (SRs) for diabetes distress and depression, were administered semistructured depression interviews, and provided blood samples for A1C. Medication adherence among 104 participants was electronically monitored (EM) over the subsequent 3 months; validated SRs of medication adherence were also obtained. Hierarchical linear regression evaluated independent effects of diabetes distress and depression on adherence. RESULTS: Mean ± SD 3-month medication adherence was 76.1% ± 25.7% for EM and 83.7% ± 21.9% for SR. Higher levels of SR (P < 0.001) and interview-based (P < 0.05) depressive symptom severity (P < 0.05) and diabetes-related distress (P < 0.01) showed a significant bivariate association with EM and SR nonadherence. Regression models showed baseline diabetes distress was a significant independent predictor of EM (ß = -0.29; P = 0.001) and SR adherence (ß = -0.24; P < 0.02) at follow-up. SR depression was an independent predictor of EM and SR adherence and reduced the effects of diabetes distress to nonsignificance. Subsequent models indicated this effect was driven by somatic rather than cognitive-affective symptoms of depression. Results were consistent but weaker for interview-based depressive symptoms. CONCLUSIONS: Findings support diabetes-related distress and depression symptom severity as risk factors for type 2 diabetes medication nonadherence. Somatic symptoms captured by depression measures, but not cognitive-affective symptoms, independently predict nonadherence and should be further investigated as a potential link between emotional distress and nonadherence.