An Exploration Of In-Person And Online Social Interaction: Examining The Effects Of Two Domains Of Social Behavior

Social interaction is a core dimension of a fulfilling life. At present, the study of social interaction has focused largely on online social interaction due to the prevalence of this behavior in modern society, and the large impact of this manner of interaction on the psychological health of individuals. In terms of online behavior, both positive and negative effects may be experienced. Better understanding predictors and outcomes of online behavior would thus be a timely and valuable contribution to literature. The present study examined anxious and avoidant attachment style as predictors of social intimacy, levels of both in-person and online intimate disclosure, a negative attitude toward technology, and problematic internet use. It was then examined whether these variables in combination predicted social well-being. Participants were collected online using Amazon Mechanical Turk. The present sample of 314 participants was restricted to those that are currently young adults, which for the purpose of this study was defined as those individuals aged 18-25. A series of six total hierarchical regressions were conducted. It was found that both anxious and avoidant attachment positively predicted problematic internet use, neither predicted online intimate disclosure, and only avoidant attachment predicted negative attitudes toward technology. While avoidant attachment negatively predicted social intimacy and in-person disclosure, anxious attachment positively predicted both of these. Social well-being was positively predicted by social intimacy and network number and negatively predicted by negative attitudes toward technology, problematic internet use, and online self-disclosure. The present study demonstrated that attachment style has a strong relationship to many variables related to online and in-person behavior

An Exploration of In-Person and Online Social Interaction: Examining the Effects of Two Domains of Social Behavior

Social interaction is a core dimension of a fulfilling life. At present, the study of social interaction has focused largely on online social interaction due to the prevalence of this behavior in modern society, and the large impact of this manner of interaction on the psychological health of individuals. In terms of online behavior, both positive and negative effects may be experienced. Better understanding predictors and outcomes of online behavior would thus be a timely and valuable contribution to literature. The present study examined anxious and avoidant attachment style as predictors of social intimacy, levels of both in-person and online intimate disclosure, a negative attitude toward technology, and problematic internet use. It was then examined whether these variables in combination predicted social well-being. Participants were collected online using Amazon Mechanical Turk. The present sample of 314 participants was restricted to those that are currently young adults, which for the purpose of this study was defined as those individuals aged 18–25. A series of six total hierarchical regressions were conducted. It was found that both anxious and avoidant attachment positively predicted problematic internet use, neither predicted online intimate disclosure, and only avoidant attachment predicted negative attitudes toward technology. While avoidant attachment negatively predicted social intimacy and in-person disclosure, anxious attachment positively predicted both of these. Social well-being was positively predicted by social intimacy and network number and negatively predicted by negative attitudes toward technology, problematic internet use, and online self-disclosure. The present study demonstrated that attachment style has a strong relationship to many variables related to online and in-person behavior

Epidemiology and outcomes of hospital-acquired bloodstream infections in intensive care unit patients: the EUROBACT-2 international cohort study

Purpose In the critically ill, hospital-acquired bloodstream infections (HA-BSI) are associated with significant mortality. Granular data are required for optimizing management, and developing guidelines and clinical trials. Methods We carried out a prospective international cohort study of adult patients (≥ 18 years of age) with HA-BSI treated in intensive care units (ICUs) between June 2019 and February 2021. Results 2600 patients from 333 ICUs in 52 countries were included. 78% HA-BSI were ICU-acquired. Median Sequential Organ Failure Assessment (SOFA) score was 8 [IQR 5; 11] at HA-BSI diagnosis. Most frequent sources of infection included pneumonia (26.7%) and intravascular catheters (26.4%). Most frequent pathogens were Gram-negative bacteria (59.0%), predominantly Klebsiella spp. (27.9%), Acinetobacter spp. (20.3%), Escherichia coli (15.8%), and Pseudomonas spp. (14.3%). Carbapenem resistance was present in 37.8%, 84.6%, 7.4%, and 33.2%, respectively. Difficult-to-treat resistance (DTR) was present in 23.5% and pan-drug resistance in 1.5%. Antimicrobial therapy was deemed adequate within 24 h for 51.5%. Antimicrobial resistance was associated with longer delays to adequate antimicrobial therapy. Source control was needed in 52.5% but not achieved in 18.2%. Mortality was 37.1%, and only 16.1% had been discharged alive from hospital by day-28. Conclusions HA-BSI was frequently caused by Gram-negative, carbapenem-resistant and DTR pathogens. Antimicrobial resistance led to delays in adequate antimicrobial therapy. Mortality was high, and at day-28 only a minority of the patients were discharged alive from the hospital. Prevention of antimicrobial resistance and focusing on adequate antimicrobial therapy and source control are important to optimize patient management and outcomes