Notes

Postacute Sequelae of COVID-19 Pneumonia: 6-month Torso CT Follow-up.
The most important factors in early prediction were related to student assessment and data obtained from student interaction with Learning Management Systems. Finally, how early it was possible to make predictions depended on the type of educational system.
Most of the papers analyzed were about online learning systems and traditional face-to-face learning in secondary and tertiary education; the most commonly-used predictive algorithms were J48, Random Forest, SVM, and Naive Bayes (classification), and logistic and linear regression (regression). The most important factors in early prediction were related to student assessment and data obtained from student interaction with Learning Management Systems. GSK3368715 Finally, how early it was possible to make predictions depended on the type of educational system.
Commercial sexual exploitation of children and adolescents (CSECA) is a worldwide problem. The need to improve current detection and intervention protocols motivated this analysis, which aimed to use expert opinion to identify indicators (symptoms, conduct, or behaviors) that may help to predict the risk of suffering CSECA and to detect those who are suffering from it, as well as the type of detection tools and protocols that should be used.

An international multidisciplinary group of experts in CSECA was invited to take part in this study. A two-round digital Delphi panel was undertaken with 22 experts. An ad hoc questionnaire was created, which included 41 questions about CSECA risk factors and interventions that should be considered during detection.

The main indicators identified included normalization of dynamics of sexual exchange within the family, family history of sexual exploitation, and sexually transmitted infections. Predictive characteristics included economic extortion, lack of documentation, and family estrangement. Additionally, 95.5% of participants agreed that multiple victimizations in childhood should be considered for CSECA detection.

This study provides information that may be very useful in the development/improvement of instruments for CSECA detection. With this approach we hope to promote the creation of tools adapted to the Spanish cultural context.
This study provides information that may be very useful in the development/improvement of instruments for CSECA detection. With this approach we hope to promote the creation of tools adapted to the Spanish cultural context.
The Problematic Pornography Use Scale (PPUS) was originally designed to help predicting pornography consumption. Despite the frequency with which this scale is used in the scientific literature, there is still relatively little evidence regarding the predictive validity of this important instrument. This current research introduces a construct capable of improving the ability of the scale to predict pornography consumption (meta-cognitive certainty).

Over two studies, participants completed the PPUS and the meta-cognitive certainty in their responses to the scale was measured (Study 1) or manipulated (Study 2). Self-reported porn consumption was the criterion measure in both studies, with an additional actual overt behavior relevant to consumption of porn included in Study 2.

As expected, the PPUS significantly predicted porn consumption, confirming the predictive validity of the scale. More importantly, meta-cognitive certainty was capable of moderating the extent to which scores on the PPUS could predict porn consumption, with greater consistency between the PPUS and reported behavior from those with high (vs. low) meta-cognitive certainty.

These data suggest that considering meta-cognitive certainty may be useful for predicting when the link between the PPUS and porn consumption is stronger.
These data suggest that considering meta-cognitive certainty may be useful for predicting when the link between the PPUS and porn consumption is stronger.
Psychological well-being and health-specific self-regulation have been associated with cardiovascular health. This study aimed to examine the longitudinal relationship of positivity and health-specific self-regulatory variables to health-related quality of life in patients with cardiovascular disease.

A sample of 550 cardiac patients completed a number of instruments (positivity, regulatory emotional self-efficacy, and cardiac self-efficacy scales, and the general health questionnaire SF-12) on two occasions 9 months apart, assessing their level of positivity, health-specific self-efficacy beliefs, and health-related quality of life.

Mediational analyses demonstrated that health-specific self-efficacy beliefs mediate the relationship between positivity and health-related quality of life. In terms of self-efficacy in managing negative affect, the despondency-distress factor showed both direct and indirect effects on health, while the anger factor showed only an indirect effect. The results of the structural equation model demonstrated suitable indices of fit.

Positivity may act as a disposition helps patients to use motivational strategies related to health, be more confident in their ability to regulate their emotions, and follow the recommendations of their cardiac medical team, enabling them to perceive a higher quality of life. These findings indicate the need to promote psychosocial interventions that include these variables.
Positivity may act as a disposition helps patients to use motivational strategies related to health, be more confident in their ability to regulate their emotions, and follow the recommendations of their cardiac medical team, enabling them to perceive a higher quality of life. These findings indicate the need to promote psychosocial interventions that include these variables.
Although several biopsychosocial variables could play an important role as risk and protective factors of mental health, COVID-19 outbreak studies among older people have seldom focused on protective factors. The purpose of this study was to analyze how older adults' personal strengths predict their well-being and emotional distress.

783 Spanish people aged 60 and over completed a survey that included sociodemographic characteristics, perceived health, direct or indirect infection by COVID-19, resilience, gratitude, experiential avoidance, family functioning, emotional distress and well-being. Structural Equation Modelling (SEM) was performed. SEM invariance was also used to analyze whether there were differences between older people affected by COVID-19 and those not affected.

The best model supports the mediation effect of resilience, gratitude and experiential avoidance on older people's well-being and emotional distress. Whether participants or relatives had been infected by the virus or not did not affect the results.
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