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Web-based decision support program with regard to patient-tailored selection of antiseizure medication in adolescents and also grownups: An external consent examine.
Analogies, broadly defined, map novel concepts onto familiar concepts, making them essential for perception, reasoning, and communication. We argue that analogy-building served a critical role in the evolution of cumulative culture by allowing humans to learn and transmit complex behavioural sequences that would otherwise be too cognitively demanding or opaque to acquire. The emergence of a protolanguage consisting of simple labels would have provided early humans with the cognitive tools to build explicit analogies and to communicate them to others. learn more on analogy-building can shed new light on the coevolution of cognition and culture and addresses recent calls for better integration of the field of cultural evolution with cognitive science.Cognitive reserve is characterized by a dissociation between cognitive level and brain structure, thereby reducing the impact of deteriorating brain structure on cognitive function. Cognitive reserve is therefore a promising approach to maintaining cognitive function and protecting against symptoms of dementia. The present paper evaluates evidence supporting the claim that bilingualism contributes to cognitive reserve. Four types of evidence are presented (i) brain and cognitive function in healthy aging, (ii) age of onset of symptoms of dementia, (iii) relation between clinical level and neuropathology for patients, and (iv) rate of cognitive decline in later stages of dementia. In all cases, bilinguals revealed patterns that were consistent with the interpretation of protection from cognitive reserve when compared with monolinguals.
Diabetes distress and depressive symptoms are common psychosocial concerns for people with diabetes. These are related, yet distinct, mood states, which have each been related to diabetes management and glycated hemoglobin (A1C) among adolescents and adults with diabetes. However, they have not been examined concurrently in preadolescents with type 1 diabetes. Understanding the overlaps and distinctions between diabetes distress and depressive symptoms in youth would help guide decisions about psychosocial screening in diabetes clinical practice. In this study, we aimed to categorize preadolescents based on clinical cutoffs of concurrently administered measures of depressive symptoms and diabetes distress, and identify clinical and demographic characteristics of each group.

One hundred eighty youth (age range, 9 to 13 years; age [mean ± standard deviation], 11.3±1.3 years; 55% female; 56% Caucasian; mean A1C, 8.4±1.6% [68 mmol/mol]) completed measures of diabetes distress, depressive symptoms and quality of life. Daily blood glucose monitoring frequency was calculated from meter download. A1C values were obtained from electronic medical records.

Depressive symptoms and diabetes distress each significantly correlated with A1C and quality of life. Although most (69%) participants had no clinically significant elevations in either diabetes distress or depressive symptoms, 14% had elevated depressive symptoms only and 17% had elevated distress without concurrent elevated depressive symptoms. Groups differed based on A1C, quality of life and insurance status.

Routine assessment of both depressive symptoms and diabetes distress may help to identify preadolescents with type 1 diabetes who require psychosocial support.
Routine assessment of both depressive symptoms and diabetes distress may help to identify preadolescents with type 1 diabetes who require psychosocial support.
Our aim in this work was to document sleep/insomnia, fruit and vegetable (FV) consumption and physical activity (PA) according to diabetes presence and type and biologic sex, as these 3 lifestyle habits may influence glycemic control and prevention of diabetes-related complications.

Adults between 18 and 64 years of age were invited to complete validated web-based self-reported questionnaires assessing sleep, insomnia, FV consumption and PA. Pregnant women and shift workers were excluded from the study.

A total of 151 adults (80.1% women), of whom 54 had diabetes (type 1 [T1D], n=30; type 2 [T2D], n=24), completed the questionnaires. Sleep quality scores were significantly higher, indicating poorer sleep quality, according to diabetes presence (diabetes, 7.2±3.5; no diabetes, 5.4±3.5; p=0.0024) and type (T1D, 6.1±2.9; T2D, 8.7±3.8; p=0.0072). Sleep duration was significantly shorter among adults living with diabetes (diabetes, 7.0±1.7 hours/night; no diabetes, 7.8±1.3 hours/night; p=0.0019), regardless of type. More adults living with diabetes had moderate to severe clinical insomnia (diabetes, 25.9%; no diabetes, 10.4%; p=0.0129), especially those with T2D (T1D, 13.3%; T2D, 41.7%; p=0.0182). FV consumption and PA did not vary significantly according to diabetes presence and type. Only PA differed by biologic sex, with lower PA among women.

The results suggest that adults living with diabetes, especially those with T2D, are at higher risk for short and poor sleep quality, and clinical insomnia. #link# Adults living with diabetes, especially those with T2D, should have access to effective sleep interventions to prevent complications associated with elevated glucose levels.
The results suggest that adults living with diabetes, especially those with T2D, are at higher risk for short and poor sleep quality, and clinical insomnia. Adults living with diabetes, especially those with T2D, should have access to effective sleep interventions to prevent complications associated with elevated glucose levels.
The roles of pharmacy technicians in clinical practice are being explored. Medication prior authorizations (PAs) from insurers can lead to delays in pharmacotherapy.

To assess the efficiency of our clinical pharmacy technicians in processing PAs for medications.

Outpatient clinics in a comprehensive health care provider group.

PA requests are routed to technicians for initial data collection. Clinical pharmacists can review their work before submission.

Clinical pharmacy staff in 4 clinics recorded information about PA requests from January 21, 2020, to April 21, 2020. In 3 of the clinics, PA requests were primarily processed by clinical pharmacy technicians. In another clinic, requests were processed by a clinical pharmacist. Information collected included the date the request was received, outcomes (e.g., approval, therapy change, or nonapproval), and the date of final outcome. Descriptive statistics were prepared, including number of requests that were approved, number of business days between request and decision, and final outcome.
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