Increased anxiety symptoms in pediatric type 1 diabetes during the acute phase of COVID-19 lockdown.

OBJECTIVES: The prevalence of mental health issues has increased at an alarming rate during the COVID-19 pandemic. Furthermore, an exacerbated psychosocial burden in populations with chronic disease is observed. This cross-sectional study evaluated the psychosocial factors of pediatric type 1 diabetes (T1D) during the COVID-19 pandemic. METHODS: During April 2020, 15 min phone interviews were performed for pediatric T1D group (n=100) and healthy comparison group (n=93) to assess psychosocial functioning during the acute lockdown phase of the pandemic. The patient health questionnaire-4 was utilized to assess anxiety and depressive symptoms. An additional questionnaire to assess specific concerns related to T1D and COVID-19 was administered to the T1D group to explore potential causes for increased psychosocial burden. RESULTS: T1D was associated with a five-times higher risk of anxiety symptoms. Increased anxiety symptoms in T1D group appear to be, at least in part, due to fear of higher risk of severe COVID-19 infection and uncertainty regarding access to diabetes supplies. CONCLUSIONS: This study provides a snapshot of mental well-being in a diverse population of patients with T1D in the acute phase of a crisis and underscores the need for timely, accurate medical information and distribution of medical resources for pediatric T1D population.

Context and time in causal learning: contingency and mood dependent effects.

Defining cues for instrumental causality are the temporal, spatial and contingency relationships between actions and their effects. In this study, we carried out a series of causal learning experiments that systematically manipulated time and context in positive and negative contingency conditions. In addition, we tested participants categorized as non-dysphoric and mildly dysphoric because depressed mood has been shown to affect the processing of all these causal cues. Findings showed that causal judgements made by non-dysphoric participants were contextualized at baseline and were affected by the temporal spacing of actions and effects only with generative, but not preventative, contingency relationships. Participants categorized as dysphoric made less contextualized causal ratings at baseline but were more sensitive than others to temporal manipulations across the contingencies. These effects were consistent with depression affecting causal learning through the effects of slowed time experience on accrued exposure to the context in which causal events took place. Taken together, these findings are consistent with associative approaches to causal judgement.

Use of a whole-cell biocatalyst to produce biodiesel in a water-containing system.

This study examined the use of a whole-cell biocatalyst to transesterify triglycerides, including high-Free Fatty Acid (FFA) waste greases, in a water-containing system. The whole-cell biocatalyst derived from Rhizopus oryzae (ATCC10260) was grown and reacted at room temperature without immobilization. The effectiveness of improving biodiesel yield through alteration of reaction temperature, additional alcohol, and additional transesterification reaction was also examined. Results showed that whole-cell biocatalyst was able to produce biodiesel with a yield of about 75% for virgin canola oil, 80% for waste vegetable oil and 55% for brown grease with a 72-hr transesterification reaction using no excess methanol. Elevating the reaction temperature to 35 degrees C significantly diminished the yield. An additional dose of methanol with another 24 hours of reaction time or a second 72-hr reaction resulted in biodiesel yield approaching 90% and only 3% residual glycerides (mono-, di- and tri-glycerides). These results suggest that whole-cell biocatalysts are able to transesterify waste oils or greases that are high in FFA and contain water. Brown (trap) grease and similar degraded or complex greases may be good candidates for further whole-cell biocatalyst research.

Effects of belief and logic on syllogistic reasoning: Eye-movement evidence for selective processing models.

Studies of syllogistic reasoning have demonstrated a nonlogical tendency for people to endorse more believable conclusions than unbelievable ones. This belief bias effect is more dominant on invalid syllogisms than valid ones, giving rise to a logic by belief interaction. We report an experiment in which participants' eye movements were recorded in order to provide insights into the nature and time course of the reasoning processes associated with manipulations of conclusion validity and believability. Our main dependent measure was people's inspection times for syllogistic premises, and we tested predictions deriving from three contemporary mental-models accounts of the logic by belief interaction. Results supported recent "selective processing" theories of belief bias (e.g., Evans, 2000; Klauer, Musch, & Naumer, 2000), which assume that the believability of a conclusion biases model construction processes, rather than biasing the search for falsifying models (e.g., Oakhill & Johnson-Laird, 1985) or a response stage of reasoning arising from subjective uncertainty (e.g., Quayle & Ball, 2000). We conclude by suggesting that the eye-movement analyses in reasoning research may provide a useful adjunct to other process-tracing techniques such as verbal protocol analysis.