Prefronto-temporal white matter microstructural alterations 20 years after the diagnosis of type 1 diabetes mellitus.

OBJECTIVE: Microvascular pathophysiology that uniquely manifests as white matter (WM) abnormalities is often implicated in type 1 diabetes mellitus (T1DM)-related central nervous system (CNS) complications. This study sought to identify regional WM abnormalities in young adults diagnosed with T1DM and further examine their association with cognitive and emotional dysfunction. RESEARCH DESIGN AND METHODS: Diffusion tensor images (DTI) obtained from 34 young adults with T1DM for ≥15 years (mean duration, 20.9 years), and 16 age- and sex-matched healthy control subjects were analyzed using tract-based spatial statistics. Fractional anisotropy (FA) values of the whole brain were analyzed, and their associations with memory function and depressive symptoms were assessed. RESULTS: Whole brain voxel-wise analyses showed that T1DM-related FA reductions were most prominent within the fronto-temporo-parietal regions of the brain. Reduced FA values in the bilateral superior longitudinal fasciculi, at which group differences were most prominent, correlated with lower working memory performance in young adults with T1DM (left, P < .001; right, P = .009). Subsyndromal depressive symptoms were also associated with lower FA values in the right inferior fronto-occipital fasciculus (P = .004). CONCLUSION: Widespread WM microstructural abnormalities in the fronto-temporo-parietal brain regions, which are associated with emotional and cognitive dysfunction, may be a contributing factor to the neural mechanisms underlying T1DM-related CNS complications, thus affecting the quality of life in young adults with T1DM.

The Psychosocial Challenges and Care of Older Adults with Diabetes: "Can't Do What I Used To Do; Can't Be Who I Once Was".

The prevalence of diabetes is increasing in older populations worldwide. Older adults with diabetes have unique psychosocial and medical challenges that impact self-care and glycemic control. These challenges may include psychological factors such as depression or anxiety, social factors such loss of independence and removal from home environment/placement in a facility, and medical factors such as multiple comorbidities and polypharmacy. Importantly, these challenges interact and complicate the everyday life of the older adult with diabetes. Thus, timely identification and interventions for psychosocial and medical challenges are a necessary component of diabetes care. This review summarizes the current literature, research findings, and clinical recommendations for psychosocial care in older adults with diabetes.

Improving quality of life and self-care for patients on hemodialysis using cognitive behavioral strategies: A randomized controlled pilot trial.

INTRODUCTION: Behavioral-education interventions have the potential to improve quality of life and self-care for patients on hemodialysis (HD) but have not been incorporated into routine clinical practice. The purpose of this pilot study was to determine the feasibility of delivering a simple behavioral-education intervention using cognitive behavioral strategies in patients receiving HD with poor quality of life. METHODS: In this mixed methods study, HD patients were randomly assigned to the study intervention (8 behavioral-education sessions delivered over 12 weeks) or a control group of dialysis education alone. Kidney disease quality of life (KDQOL)-36 scores, depressive symptoms and self-care behaviors were measured at weeks 0, 8, and 16. Following study completion, participants, social workers, and physicians provided their perspectives about the intervention via qualitative interviews. FINDINGS: Forty-five participants were randomized. Due, in part, to social worker attrition from the intervention arm, 34 participants (76%) completed at least 1 study session and were included in the analysis. The intervention led to modest, but non-significant, increase in KDQOL-physical component summary scores (+3.1±1.2 points) from week 0 to week 16. There were small, non-significant decreases in interdialytic weight gain and pre-dialysis phosphorus levels in the intervention group. Participants felt that chair-side delivery was practical and efficient, and that content related to the impact of dialysis on daily life was unique and important. Suggestions for adapting the intervention included narrowing its content and its delivery by additional providers that are not necessarily therapy trained. DISCUSSION: In this pilot study, we were able to deliver a simple behavioral-education intervention to improve both quality of life and self-care. Participants had a positive impression of the intervention, but we did not find significant improvements in quality of life or self-care. We will now adapt our intervention by narrowing its content and by using other providers that are focused solely on delivering the intervention.

Self-care barriers and facilitators in older adults with T1D during a time of sudden isolation.

Older adults with type 1 diabetes (T1D) have unique challenges and needs. In this mixed-methods study, we explored the impact of isolation during a pandemic on diabetes management and overall quality of life in this population. Older adults (age ≥ 65 years) with T1D receiving care at a tertiary care diabetes center participated in semi-structured interviews during COVID-19 pandemic isolation between June and August 2020. A multi-disciplinary team coded transcripts and conducted thematic analysis. Thirty-four older adults (age 71 ± 5 years, 97% non-Hispanic white, diabetes duration of 38 ± 7 years, A1C of 7.4 ± 0.9% (57.3 ± 10.1 mmol/mol) were recruited. Three themes related to diabetes self-care emerged regarding impact of isolation on: (1) diabetes management and self-care behaviors (how isolation prompted changes in physical activity and dietary habits); (2) emotional stress and anxiety (related to isolation and lack of support system, economic concerns); and (3) concerns regarding the COVID-19 pandemic (impact on timely medical care and access to information). Our findings identify modifiable barriers and challenges faced by older adults with T1D during isolation. As this population has a higher risk of decline in physical and psychosocial support even during non-pandemic times, clinicians will benefit from understanding these issues to improve care of this population.

A qualitative study of perceived responsibility and self-blame in type 2 diabetes: reflections of physicians and patients.

BACKGROUND: Despite new treatment therapies and the emphasis on patient activation, nearly 50 % of diabetes patients have hemoglobin A(1c) levels above target. Understanding the impact of unmet treatment goals on the physician-patient relationship is important for maintaining quality care in clinical practice. OBJECTIVE: To explore physicians' and type 2 diabetes patients' views of patients' difficulty achieving diabetes treatment goals. DESIGN: Qualitative study using in-depth interviews with a semi-structured interview guide. PARTICIPANTS: Nineteen endocrinologists and primary care physicians and 34 patients diagnosed with type 2 diabetes at least two years prior. MAIN MEASURES: In-depth interviews with physicians and patients. A multidisciplinary research team performed content and thematic analyses. KEY RESULTS: Qualitative analysis revealed two main findings, organized by physician and patient perspectives. Physician Perspective: Physicians' Perceived Responsibility for Patients' Difficulty Achieving Treatment Goals: Physicians assumed responsibility for their patients not achieving goals and expressed concern that they may not be doing enough to help their patients achieve treatment goals. Physicians' Perceptions of Patients' Reactions: Most speculated that their patients may feel guilt, frustration, or disappointment when not reaching goals. Physicians also felt that many patients did not fully understand the consequences of diabetes. Patient Perspective: Patients' Self-Blame for Difficulty Achieving Treatment Goals: Patients attributed unmet treatment goals to their inability to carry out self-care recommendations. Most patients blamed themselves for their lack of progress and directed their frustration and disappointment inwardly through self-depreciating comments. Patients' Perceptions of Physicians' Reactions: Several patients did not know how their physician felt, while others speculated that their physicians might feel disappointed or frustrated. CONCLUSIONS: Physicians' perceived responsibility and patients' self-blame for difficulty achieving treatment goals may serve as barriers to an effective relationship. Physicians and patients may benefit from a greater understanding of each other's frustrations and challenges in diabetes management.

Quality of life and technology: impact on children and families with diabetes.

Ensuring quality of life (QOL) while maintaining glycemic control within targets is an important challenge in type 1 and type 2 diabetes treatment. For children with diabetes, QOL includes enjoying meals, feeling safe in school, and perceiving positive, supportive relationships with parents, siblings, and friends. Yet many treatment-related and psychosocial barriers can interfere with a child's QOL and their ability to manage diabetes effectively. Diabetes management also imposes considerable lifestyle demands that are difficult and often frustrating for children to negotiate at a young age. Recent advances in diabetes medications and technologies have improved glycemic control in children with diabetes. Two widely used technologies are the insulin pump and continuous glucose monitoring (CGM) system. These technologies provide patients with more flexibility in their daily life and information about glucose fluctuations. Several studies report improvements in glycemic control in children with type 1 diabetes using the insulin pump or sensor-augmented pump therapy. Importantly, these technologies may impact QOL for children and families with diabetes, although they are rarely used or studied in the treatment of children with type 2 diabetes. Further, emerging closed loop and web- and phone-based technologies have great potential for supporting diabetes self-management and perhaps QOL. A deeper understanding and appreciation of the impact of diabetes technology on children's and parents' QOL is critical for both the medical and psychological care of diabetes. Thus, the purpose of this review is to discuss the impact of new diabetes technologies on QOL in children, adolescents and families with type 1 diabetes.

Impact of Diabetes Duration on Functional and Clinical Status in Older Adults With Type 1 Diabetes.

OBJECTIVE: Adults with type 1 diabetes (T1D) are aging successfully. The impact of diabetes duration on clinical and functional status as people age with T1D is not well known. RESEARCH DESIGN AND METHODS: We performed a cross-sectional study of older adults (age ≥65 years) with T1D. RESULTS: We evaluated 165 older adults, mean age 70 ± 10 years. After adjustment for age, sex, and A1C, longer duration of T1D, ≥50 years, was associated with a higher likelihood of depression (odds ratio [OR] 2.8; P = 0.008), hypoglycemia unawareness (OR 2.6; P = 0.01), lower scores on 6-Minute Walk Test (OR 0.99; P = 0.01) and the Physical Component Summary (PCS) of Short Form-36 (SF-36) (OR 0.96; P = 0.02), and greater daily medication use (OR 1.1; P = 0.004) compared with those with duration <50 years. CONCLUSIONS: In older adults with T1D, duration of diabetes impacts clinical and functional status, independent of age and glycemic control, and should be considered in development of management strategies for safety and success.

Use of Telecommunication and Diabetes-Related Technologies in Older Adults With Type 1 Diabetes During a Time of Sudden Isolation: Mixed Methods Study.

BACKGROUND: The COVID-19 lockdown imposed a sudden change in lifestyle with self-isolation and a rapid shift to the use of technology to maintain clinical care and social connections. OBJECTIVE: In this mixed methods study, we explored the impact of isolation during the lockdown on the use of technology in older adults with type 1 diabetes (T1D). METHODS: Older adults (aged ≥65 years) with T1D using continuous glucose monitoring (CGM) participated in semistructured interviews during the COVID-19 lockdown. A multidisciplinary team coded the interviews. In addition, CGM metrics from a subgroup of participants were collected before and during the lockdown. RESULTS: We evaluated 34 participants (mean age 71, SD 5 years). Three themes related to technology use emerged from the thematic analysis regarding the impact of isolation on (1) insulin pump and CGM use to manage diabetes, including timely access to supplies, and changing Medicare eligibility regulations; (2) technology use for social interaction; and (3) telehealth use to maintain medical care. The CGM data from a subgroup (19/34, 56%; mean age 74, SD 5 years) showed an increase in time in range (mean 57%, SD 17% vs mean 63%, SD 15%; P=.001), a decrease in hyperglycemia (>180 mg/dL; mean 41%, SD 19% vs mean 35%, SD 17%; P<.001), and no change in hypoglycemia (<70 mg/dL; median 0.7%, IQR 0%-2% vs median 1.1%, IQR 0%-4%; P=.40) during the lockdown compared to before the lockdown. CONCLUSIONS: These findings show that our cohort of older adults successfully used technology during isolation. Participants provided the positive and negative perceptions of technology use. Clinicians can benefit from our findings by identifying barriers to technology use during times of isolation and developing strategies to overcome these barriers.

Digging deeper: the role of qualitative research in behavioral diabetes.

Qualitative research methodology is more recognized and valued in diabetes behavioral research in recent years. Qualitative methods help clinicians answer questions that quantitative research may not be able to answer, such as exploring patients' motivations, perceptions, and expectations. This paper reviews recent (2005-present) rigorous qualitative studies of children, adolescents, and adult patients with type 1 and type 2 diabetes with the aim of answering the following research question: How has qualitative research contributed to our understanding of behavioral diabetes care? We focus on studies exploring patients', health care providers', and families' interpersonal experiences of diabetes as well as patients' psychosocial experiences of diagnosis and treatment, self-care, complications, and cultural factors. After reviewing the research in each area, we conclude by discussing how qualitative research contributes to our increased understanding of behavioral diabetes.

Long-term effect of diabetes and its treatment on cognitive function.

BACKGROUND: Long-standing concern about the effects of type 1 diabetes on cognitive ability has increased with the use of therapies designed to bring glucose levels close to the nondiabetic range and the attendant increased risk of severe hypoglycemia. METHODS: A total of 1144 patients with type 1 diabetes enrolled in the Diabetes Control and Complications Trial (DCCT) and its follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) study were examined on entry to the DCCT (at mean age 27 years) and a mean of 18 years later with the same comprehensive battery of cognitive tests. Glycated hemoglobin levels were measured and the frequency of severe hypoglycemic events leading to coma or seizures was recorded during the follow-up period. We assessed the effects of original DCCT treatment-group assignment, mean glycated hemoglobin values, and frequency of hypoglycemic events on measures of cognitive ability, with adjustment for age at baseline, sex, years of education, length of follow-up, visual acuity, self-reported sensory loss due to peripheral neuropathy, and (to control for the effects of practice) the number of cognitive tests taken in the interval since the start of the DCCT. RESULTS: Forty percent of the cohort reported having had at least one hypoglycemic coma or seizure. Neither frequency of severe hypoglycemia nor previous treatment-group assignment was associated with decline in any cognitive domain. Higher glycated hemoglobin values were associated with moderate declines in motor speed (P=0.001) and psychomotor efficiency (P<0.001), but no other cognitive domain was affected. CONCLUSIONS: No evidence of substantial long-term declines in cognitive function was found in a large group of patients with type 1 diabetes who were carefully followed for an average of 18 years, despite relatively high rates of recurrent severe hypoglycemia. (ClinicalTrials.gov number, NCT00360893.)

Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study.

BACKGROUND: Previous studies have reported older adults' perceptions of using health monitors; however, no studies have examined the actual use of multiple health monitors for lifestyle changes over time among older adults with type 2 diabetes (T2D). OBJECTIVE: The primary aim of this study was to examine the actual use of multiple health monitors for lifestyle changes over 3 months among older adults with T2D. The secondary aim was to explore changes in caloric intake and physical activity (PA) over 3 months. METHODS: This was a single-group study lasting 3 months. The study sample included participants who were aged ≥65 years with a diagnosis of T2D. Participants were recruited through fliers posted at the Joslin Diabetes Center in Boston. Participants attended five 60-min, biweekly group sessions, which focused on self-monitoring, goal setting, self-regulation to achieve healthy eating and PA habits, and the development of problem-solving skills. Participants were provided with the Lose It! app to record daily food intake and devices such as a Fitbit Alta for monitoring PA, a Bluetooth-enabled blood glucose meter, and a Bluetooth-enabled digital scale. Descriptive statistics were used for analysis. RESULTS: Of the enrolled participants (N=9), the sample was white (8/9, 89%) and female (4/9, 44%), with a mean age of 76.4 years (SD 6.0; range 69-89 years), 15.7 years (SD 2.0) of education, 33.3 kg/m2 (SD 3.1) BMI, and 7.4% (SD 0.8) hemoglobin A1c. Over the 84 days of self-monitoring, the mean percentage of days using the Lose It!, Fitbit Alta, blood glucose meter, and scale were 82.7 (SD 17.6), 85.2 (SD 19.7), 65.3 (SD 30.1), and 53.0 (SD 34.5), respectively. From baseline to completion of the study, the mean daily calorie intake was 1459 (SD 661) at week 1, 1245 (SD 554) at week 11, and 1333 (SD 546) at week 12, whereas the mean daily step counts were 5618 (SD 3654) at week 1, 5792 (SD 3814) at week 11, and 4552 (SD 3616) at week 12. The mean percentage of weight loss from baseline was 4.92% (SD 0.25). The dose of oral hypoglycemic agents or insulin was reduced in 55.6% (5/9) of the participants. CONCLUSIONS: The results from the pilot study are encouraging and suggest the need for a larger study to confirm the outcomes. In addition, a study design that includes a control group with educational sessions but without the integration of technology would offer additional insight to understand the value of mobile health in behavior changes and the health outcomes observed during this pilot study.

Regional brain activation during hypoglycemia in type 1 diabetes.

CONTEXT: Mechanisms underlying the brain response to hypoglycemia are not well understood. OBJECTIVE: Our objective was to determine the blood glucose level at which the hypothalamus and other brain regions are activated in response to hypoglycemia in type 1 diabetic patients and control subjects. DESIGN: This was a cross-sectional study evaluating brain activity using functional magnetic resonance imaging in conjunction with a hyperinsulinemic hypoglycemic clamp to lower glucose from euglycemia (90 mg/dl) to hypoglycemia (50 mg/dl). SETTING: The study was performed at the Brain Imaging Center in the McLean Hospital. STUDY PARTICIPANTS: Seven type 1 diabetic patients between 18 and 50 yr old and six matched control subjects were included in the study. INTERVENTION: Hyperinsulinemic hypoglycemic clamp was performed. MAIN OUTCOME MEASURES: Blood glucose level at peak hypothalamic activation, amount of regional brain activity during hypoglycemia in both groups, and difference in regional brain activation between groups were calculated. RESULTS: The hypothalamic region activates at 68 +/- 9 mg/dl in control subjects and 76 +/- 8 mg/dl in diabetic patients during hypoglycemia induction. Brainstem, anterior cingulate cortex, uncus, and putamen were activated in both groups (P < 0.001). Each group also activated unique brain areas not active in the other group. CONCLUSIONS: This application of functional magnetic resonance imaging can be used to identify the glucose level at which the hypothalamus is triggered in response to hypoglycemia and whether this threshold differs across patient populations. This study suggests that a core network of brain regions is recruited during hypoglycemia in both diabetic patients and control subjects.

Diabetes education at diagnosis: sooner rather than later?

Few well-designed, randomized, controlled trials have examined the clinical consequences of diabetes education at diagnosis. As a result, relatively few patients with type 2 diabetes mellitus have access to such programs. In this Practice Point commentary, I discuss the study of Davies et al., which examined the effect of a structured diabetes education intervention at diagnosis on glycemic control, weight loss, and smoking cessation during a 12-month follow-up period. A control group that received standard diabetes education and guideline-based care was also enrolled. Although glycemic control did not differ between the two groups, patients in the intervention group lost more weight and were more likely to have stopped smoking by 12 months than those in the control group. These findings suggest potential long-term benefits of early patient education. Future studies that examine long-term follow-up data from this cohort would be useful to determine whether early diabetes education has any effect on glycemia later in the disease course.

How does anger coping style affect glycemic control in diabetes patients?

BACKGROUND: Although various forms of anger have been found to influence the psychological and physical health in many chronic illness populations, little is known about the effects of anger in diabetes patients. PURPOSE: Associations between anger coping style, diabetes-related psychological distress, and glycosylated hemoglobin (HbA1c) were examined in 100 diabetes patients. METHOD: Participants completed the Problem Areas in Diabetes and Coping Styles questionnaires, and had HbA1c assessments at study entry (Time 1 = T1), six months (T2), and 12 months after T1 (T3). RESULTS: Linear regression analyses revealed T1 anger coping associated with T3 HbA1c (beta = .22, p < .05), but T1 HbA1c did not associate with T3 anger coping (beta = .13, p = NS). After controlling for significant covariates (of gender, age, education, type and duration of diabetes), regression analyses revealed that T2 diabetes-related psychological distress partially mediated this association. CONCLUSION: These results suggested that higher levels of anger coping may promote poorer glycemic control in diabetes patients by provoking greater diabetes-related distress. Areas of future research on this topic are discussed.

The role of resilience on psychological adjustment and physical health in patients with diabetes.

OBJECTIVE: This study used a longitudinal design to investigate the buffering role of resilience on worsening HbA(1c) and self-care behaviours in the face of rising diabetes-related distress. METHOD: A total of 111 patients with diabetes completed surveys and had their glycosylated haemoglobin (HbA(1c)) assessed at baseline and at 1-year follow-up. Resilience was defined by a factor score of self-esteem, self-efficacy, self-mastery and optimism. Diabetes-related distress and self-care behaviours were also assessed. RESULTS: Baseline resilience, diabetes-related distress and their interaction predicted physical health (HbA(1c)) at 1 year. Patients with low, moderate and high resilience were identified. Those with low or moderate resilience levels showed a strong association between rising distress and worsening HbA(1c) across time (r=.57, .56, respectively). However, those with high resilience scores did not show the same associations (r=.08). Low resilience was also associated with fewer self-care behaviours when faced with increasing distress (r=-.55). These correlation coefficients remained significant after controlling for starting-points. CONCLUSION: In patients with diabetes, resilience resources predicted future HbA(1c) and buffered worsening HbA(1c) and self-care behaviours in the face of rising distress levels.

A protocol for a pilot randomized controlled trial to assess the feasibility and effect of a cognitive behavioral intervention on quality of life for patients on hemodialysis.

INTRODUCTION: Poor health-related quality of life (HrQOL) is highly prevalent in patients on hemodialysis (HD), and is associated with increased hospitalizations and mortality. Cognitive behavioral (CB) techniques have improved HrQOL in HD patients but have not been routinely translated into clinical practice. The investigators present the rationale, study design and protocol of a randomized controlled trial to pilot the feasibility and effect of a translatable, behavioral-education intervention using CB techniques to improve poor HrQOL and self-management in hemodialysis patients. METHODS: Forty-eight HD patients will be randomly assigned to either the study intervention which includes 8-12 behavioral-education sessions with incorporated CB techniques delivered over 12 weeks or a control group of dialysis education without incorporated CB techniques. Subjects will be followed for 16 weeks and the primary outcome, change in kidney disease quality of life (KDQOL)-36 scores, will be measured at 0, 8, and 16 weeks. The study will have 85% power to detect an 8-point change in KDQOL-36 scores. At the end of the study, qualitative data will be gathered through end-of-study focus groups, and semi-structured interviews. These data will be used to refine the intervention and help translate it into clinical practice. DISCUSSION: There is promising evidence in support of CB-based interventions to improve HrQOL for patients on HD. Despite this, these interventions have not been routinely incorporated into clinical practice. The proposed intervention has the potential to improve both HrQOL and self-management, while also being easily translatable to other HD units.

Effects of type 1 diabetes on gray matter density as measured by voxel-based morphometry.

The effects of type 1 diabetes and key metabolic variables on brain structure are not well understood. Sensitive methods of assessing brain structure, such as voxel-based morphometry (VBM), have not previously been used to investigate central nervous system changes in a diabetic population. Using VBM, we compared type 1 diabetic patients aged 25-40 years with disease duration of 15-25 years and minimal diabetes complications with an age-matched, nondiabetic control group. We investigated whether lower than expected gray matter densities were present, and if so, whether they were associated with glycemic control and history of severe hypoglycemic events. In comparison with control subjects, diabetic patients showed lower density of gray matter in several brain regions. Moreover, in the patient group, higher HbA(1c) levels and severe hypoglycemic events were associated with lower density of gray matter in brain regions responsible for language processing and memory. Our study represents the first comprehensive study of gray matter density changes in type 1 diabetes and suggests that persistent hyperglycemia and acute severe hypoglycemia have an impact on brain structure.

Executive summary. The State of the Science on Nursing Best Practices for Diabetes Self-Management.

The State of the Science on Nursing Best Practices for Diabetes Self-Management.

Cognitive dysfunction is associated with poor diabetes control in older adults.

OBJECTIVE: To evaluate the association between cognitive dysfunction and other barriers and glycemic control in older adults with diabetes. RESEARCH DESIGN AND METHODS: Patients over the age of 70 years presenting to a geriatric diabetes clinic were evaluated for barriers to successful diabetes management. Patients were screened for cognitive dysfunction with the Mini Mental State Examination (MMSE) and a clock-drawing test (CDT) scored by 1) a method validated by Mendez et al. and 2) a modified CDT (clock in a box [CIB]). Depression was evaluated with the Geriatric Depression Scale. Interview questionnaires surveyed activities of daily living (ADLs) and instrumental ADLs (IADLs), as well as other functional disabilities. RESULTS: Sixty patients (age 79 +/- 5 years, diabetes duration 14 +/- 13 years) were evaluated. Thirty-four percent of patients had low CIB (< or =5), and 38% of patients had low CDT (< or =13). Both CIB as well as CDT were inversely correlated with HbA(1c), suggesting that cognitive dysfunction is associated with poor glycemic control (r = -0.37, P < 0.004 and r = -0.38, P < 0.004, respectively). Thirty-three percent of patients had depressive symptoms with greater difficulty completing the tasks of the IADL survey (5.7 +/- 1.7 vs. 4.6 +/- 2.0; P < 0.03). These older adults with diabetes had a high incidence of functional disabilities, including hearing impairment (48%), vision impairment (53%), history of recent falls (33%), fear of falls (44%), and difficulty performing IADLs (39%). CONCLUSIONS: Older adults with diabetes have a high risk of undiagnosed cognitive dysfunction, depression, and functional disabilities. Cognitive dysfunction in this population is associated with poor diabetes control.