The potential role of religiosity, psychological immunity, gender, and age group in predicting the psychological well-being of diabetic patients in Saudi Arabia within the Bayesian framework.

This study aimed to investigate the differences in Religiosity (R), Mental Immunity (MI), and Psychological Well-Being (PWB) in patients with diabetes due to gender and age group variables, and to detect the best predictors of PWB in diabetic patients within the Bayesian framework. The study was conducted from May 2022 to February 2023 on a random sample of 186 Saudis diagnosed with diabetes. After obtaining participants' consent, they completed three R, MI, and PWB scales. Bayesian Independent Samples t-test was performed to identify differences, and Bayesian linear regression analysis was used to reveal the best prediction model of PWB. The results of the Bayesian independent samples t-test indicated strong evidence supporting the alternative hypothesis H1, suggesting differences between male and female diabetic patients in R, MI, and PWB, with Bayesian factor values exceeding 10 (8.338×10+23, 1.762×10+25, and 1.866×10+24), and Cohen's δ of (-1.866, -1.934, -1.884). These results indicated that females with diabetes have higher means of R, MI, and PWB compared to males. However, the results also suggested evidence for the null hypothesis H0 of no differences in R, MI, and PWB among diabetic patients due to age group, with Bayesian factor values (0.176, 0.181, and 0.187) less than 1.00 and small Cohen's δ of (-0.034, -0.050, -0.063). Bayesian linear regression analysis detected strong evidence that the model including MI is the best predictive model (BF10 for mental immunity is 1.00 and for the other two models are 0.07 and 4.249×10-16) for the PWB of diabetic patients, however, there is no evidence that the model including R or the interaction between R and MI is the best predictor of PWB for diabetic patients. These findings highlight the need for direct psychological care services for male diabetic patients and the urgent need to enhance IM in diabetic patients to improve their PWB. Furthermore, results recommended that healthcare providers in Saudi Arabia integrate MI interventions into diabetes care programs.

Psychometric properties and clinical utility of COVID-19-related distress scale among children and adolescents with Disabilities.

BACKGROUND: The aim was to estimate the psychometric properties of the COVID-19-related distress scale in our society, as well as verifying the global structure of the COVID-19-related distress scale through exploratory factor analysis and the confirmatory factor analysis model for the dimensions prepared in the light of previous studies and the general factor model. METHODS: The study follows the design of the exploratory cross-sectional studies by applying a scale electronically using the Google Forms tool. Construct validity was evaluated using confirmatory factor analysis, exploratory factor analysis, and content validity. Pearson product-moment correlation, Cronbach's alpha reliability coefficient, and test-retest methods were used to evaluate reliability. RESULTS: In the analysis made for internal consistency in the reliability study of the scale, the Cronbach's alpha reliability coefficients were determined as α = 0.93 for the physical dimension subscale, 0.90 for the psychological and emotional dimension, 0.92 for cognitive dimension, 0.91 for the social dimension, 0.92 for behavioral dimension, 0.87 for living Dimension and 0.94 for the whole scale. The total number of items on the scale is 62. It is clear that the items of the scale explained 55.49 % of the variance of the correlation matrix between the items, which indicates that the scale has an appropriate degree to extract the variance that explains COVID-19-related distress. The fit indices were found to be Chi square = 862.30 (p < .001), degree of freedom = 210 (χ2 = 862.30; df = 210, χ2/df = 4.10), root mean square error of approximation (RMSEA) = 0.07 (p < .05) standardized root mean- square residual (SRMR) = 0.05, comparative fit index (CFI) = 0.92, non-normed fit index (NNFI) = 0.95, goodness of fit index (GFI) = 0.95, and adjusted goodness of fit index (AGFI) = 0.94. CONCLUSIONS: The COVID-19-related distress scale is an easy to administer, valid, and reliable instrument to assess COVID-19-related distress. This instrument can be a helpful tool informing us about distress related to COVID-19 and hence may prevent adverse long-term consequences arising due to pandemic.

Newly synthesized mRNA escapes translational repression during the acute phase of the mammalian unfolded protein response.

Endoplasmic Reticulum (ER) stress, caused by the accumulation of misfolded proteins in the ER, elicits a homeostatic mechanism known as the Unfolded Protein Response (UPR). The UPR reprograms gene expression to promote adaptation to chronic ER stress. The UPR comprises an acute phase involving inhibition of bulk protein synthesis and a chronic phase of transcriptional induction coupled with the partial recovery of protein synthesis. However, the role of transcriptional regulation in the acute phase of the UPR is not well understood. Here we analyzed the fate of newly synthesized mRNA encoding the protective and homeostatic transcription factor X-box binding protein 1 (XBP1) during this acute phase. We have previously shown that global translational repression induced by the acute UPR was characterized by decreased translation and increased stability of XBP1 mRNA. We demonstrate here that this stabilization is independent of new transcription. In contrast, we show XBP1 mRNA newly synthesized during the acute phase accumulates with long poly(A) tails and escapes translational repression. Inhibition of newly synthesized RNA polyadenylation during the acute phase decreased cell survival with no effect in unstressed cells. Furthermore, during the chronic phase of the UPR, levels of XBP1 mRNA with long poly(A) tails decreased in a manner consistent with co-translational deadenylation. Finally, additional pro-survival, transcriptionally-induced mRNAs show similar regulation, supporting the broad significance of the pre-steady state UPR in translational control during ER stress. We conclude that the biphasic regulation of poly(A) tail length during the UPR represents a previously unrecognized pro-survival mechanism of mammalian gene regulation.

Adaptation to chronic ER stress enforces pancreatic ß-cell plasticity.

Pancreatic ß-cells are prone to endoplasmic reticulum (ER) stress due to their role in insulin secretion. They require sustainable and efficient adaptive stress responses to cope with this stress. Whether episodes of chronic stress directly compromise ß-cell identity is unknown. We show here under reversible, chronic stress conditions ß-cells undergo transcriptional and translational reprogramming associated with impaired expression of regulators of ß-cell function and identity. Upon recovery from stress, ß-cells regain their identity and function, indicating a high degree of adaptive plasticity. Remarkably, while ß-cells show resilience to episodic ER stress, when episodes exceed a threshold, ß-cell identity is gradually lost. Single cell RNA-sequencing analysis of islets from type 1 diabetes patients indicates severe deregulation of the chronic stress-adaptation program and reveals novel biomarkers of diabetes progression. Our results suggest ß-cell adaptive exhaustion contributes to diabetes pathogenesis.