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Use of technology in diabetes management is rapidly advancing and has the potential to help individuals with diabetes achieve optimal glycemic control. Over the past 40 years, several devices have been developed and refined, including the blood glucose meter, insulin pump, and continuous glucose monitor. When used in tandem, the insulin pump and continuous glucose monitor have prompted the Artificial Pancreas initiative, aimed at developing control system for fully automating glucose monitoring and insulin delivery. In addition to devices, modern technology, such as the Internet and mobile phone applications, have been used to promote patient education, support, and intervention to address the behavioral and emotional challenges of diabetes management. These state-of-the-art technologies not only have the potential to improve clinical outcomes, but there are possible psychological benefits, such as improved quality of life, as well. However, practical and psychosocial limitations related to advanced technology exist and, in the context of several technology-related theoretical frameworks, can influence patient adoption and continued use. It is essential for future diabetes technology research to address these barriers given that the clinical benefits appear to largely depend on patient engagement and consistence of technology use. (PsycINFO Database Record

The short form of the Hypoglycaemia Fear Survey II is an important first step in more efficiently measuring fear of hypoglycaemia. Future prospective studies are needed for further validity testing and exploring the survey's applicability to different populations.

It has long been recognized that acute psychological stress may affect blood glucose (BG) levels in type 1 diabetes (T1DM) through both direct and indirect mechanisms.1-3 The direct impact is mediated by stress-induced activation of adrenergic hormones and cortisol, which can increase glucose production and increase insulin resistance.3-5 Indirect effects can occur secondary to stress-related deterioration in diabetes management behaviors such as under-or over-eating, checking BG less often, and skipping exercise. In spite of these recognized mechanisms, the glycemic impact of acute stress in T1DM has proven difficult to demonstrate. Laboratory studies have yielded inconclusive results, with some studies finding no stress effect, 6,7 and other studies finding increases in BG for some people and decreases in BG for others, in response to the same stressful situation. Abstract Background: The relationship between daily psychological stress and BG fluctuations in type 1 diabetes (T1DM) is unclear. More research is needed to determine if stress-related BG changes should be considered in glucose control algorithms. This study in the usual free-living environment examined relationships among routine daily stressors and BG profile measures generated from CGM readings.

Pediatric elimination disorders are common in childhood, yet psychosocial correlates are generally unclear. Given the physiological concomitants of both enuresis and encopresis, and the fact that many children with elimination disorders are initially brought to their primary care physician for treatment, medical evaluation and management are crucial and may serve as the first-line treatment approach. Scientific investigation on psychological and behavioral interventions has progressed over the past couple of decades, resulting in the identification of effective treatments for enuresis and encopresis. However, the body of literature has inherent challenges, particularly given the multicomponent nature of many of the treatment packages. This review identified 25 intervention studies-18 for nocturnal enuresis and 7 for encopresis-over the past 15 years and classified them according to the guidelines set forth by the Task Force on the Promotion and Dissemination of Psychological Procedures. For nocturnal enuresis, the urine alarm and dry-bed training were identified as well-established treatments, Full Spectrum Home Therapy was probably efficacious, lifting was possibly efficacious, and hypnotherapy and retention control training were classified as treatments of questionable efficacy. For encopresis, only two probably efficacious treatments were identified: biofeedback and enhanced toilet training (ETT). Best practice recommendations and suggestions for future research are provided to address existing limitations, including heterogeneity and the multicomponent nature of many of the interventions for pediatric elimination disorders.

OBJECTIVETwo aims of this study were to develop and validate A) a metric to identify drivers with type 1 diabetes at high risk of future driving mishaps and B) an online intervention to reduce mishaps among high-risk drivers.RESEARCH DESIGN AND METHODSTo achieve aim A, in study 1, 371 drivers with type 1 diabetes from three U.S. regions completed a series of established questionnaires about diabetes and driving. They recorded their driving mishaps over the next 12 months. Questionnaire items that uniquely discriminated drivers who did and did not have subsequent driving mishaps were assembled into the Risk Assessment of Diabetic Drivers (RADD) scale. In study 2, 1,737 drivers with type 1 diabetes from all 50 states completed the RADD online. Among these, 118 low-risk (LR) and 372 high-risk (HR) drivers qualified for and consented to participate in a 2-month treatment period followed by 12 monthly recordings of driving mishaps. To address aim B, HR participants were randomized to receive either routine care (RC) or the online intervention “DiabetesDriving.com” (DD.com). Half of the DD.com participants received a motivational interview (MI) at the beginning and end of the treatment period to boost participation and efficacy. All of the LR participants were assigned to RC. In both studies, the primary outcome variable was driving mishaps.RESULTSRelated to aim A, in study 1, the RADD demonstrated 61% sensitivity and 75% specificity. Participants in the upper third of the RADD distribution (HR), compared with those in the lower third (LR), reported 3.03 vs. 0.87 mishaps/driver/year, respectively (P < 0.001). In study 2, HR and LR participants receiving RC reported 4.3 and 1.6 mishaps/driver/year, respectively (P < 0.001). Related to aim B, in study 2, MIs did not enhance participation or efficacy, so the DD.com and DD.com + MI groups were combined. DD.com participants reported fewer hypoglycemia-related driving mishaps than HR participants receiving RC (P = 0.01), but more than LR participants receiving RC, reducing the difference between the HR and LR participants receiving RC by 63%. HR drivers differed from LR drivers at baseline across a variety of hypoglycemia and driving parameters.CONCLUSIONSThe RADD identified higher-risk drivers, and identification seemed relatively stable across time, samples, and procedures. This 11-item questionnaire could inform patients at higher risk, and their clinicians, that they should take preventive steps to reduce driving mishaps, which was accomplished in aim B using DD.com.

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Increasing research shows that high eyewitness confidence at the time of an initial identification is a strong predictor of accuracy (Wixted & Wells, 2017). However, as with all forms of criminal evidence, this relationship is imperfect. This study addresses whether there are variables that systematically influence the rate of high confidence misidentifications. Notably, this is the first study to document the influence of face recognition ability on the confidence-accuracy relationship. Participants viewed photos of individuals of their same race or a different race and performed a lineup recognition test after either a 5-min (n = 277) or 1-day (n = 292) delay. High confidence identification errors were more likely when (a) individuals are worse face recognizers, (b) decision-times are slow, and (c) responses are justified with references to familiarity (e.g., "He looks familiar").