Towards better microsleep predictions in fatigued drivers: exploring benefits of personality traits and IQ

The effect of aggressive group norms on young adults' conformity behavior in WhatsApp chats: a vignette-based experiment

Social networking and messaging applications, such as WhatsApp, have become an essential social environment for adolescents and young adults (AYA). While facilitating connectivity, they also bear hazards, including cyber-aggression. This study investigates the impact of (aggressive) group norms on AYA's propensity to expect cyberaggressive behaviors within different group chats. Based on a vignette scenario, realistically simulated WhatsApp group chats enabled scrutinizing, if and how exemplary reactions (funny, aggressive, friendly) of group members influence AYA's conformity to cyber-aggression (N = 500, aged 16 to 29). Additionally, we examined the effect of chat group type-close friends versus fellow students-on the anticipation of aggressive reactions. Sociodemographic, social, and developmental-psychological factors were evaluated for potential effects. Multilevel logistic regression analyses indicated that aggressive group norms significantly predict cyber-aggression anticipation, while no effect of chat group type was observed. Controlling for the size and vivacity of participant's friend group, gender, age, and educational status were significant predictors: males, younger participants, and non-university students expected higher levels of cyber-aggression conformity. This study underlines the importance of group dynamics on perceptions of cyber-aggression and hints at individual risk factors for AYA's digital communication behavior.

Effects of strengthening prospective nursing practice on sleep quality, anxiety, and depression of awake patients in intensive care unit

BACKGROUND

The intensive care unit (ICU) is a specialized hospital department. Awake patients in the ICU frequently encounter adverse psychological states, such as anxiety and fear, often accompanied by poor sleep quality. This situation has garnered significant attention within the medical community.

AIM

To investigate the impact of prospective nursing intervention strategies on the sleep quality and negative emotional state of conscious ICU patients.

METHODS

One hundred and twenty ICU awake patients admitted to our hospital were selected and randomly divided into control (n = 60) and observation (n = 60) groups. Patients in the control group were cared for using the conventional nursing model, while patients in the observation group were cared for using the prospective nursing model. Sleep improvement was assessed using the International Standardized Sleep Efficiency Formula and Pittsburgh Sleep Quality Index (PSQI). The PSQI, Generalized Anxiety Disorder 7-item (GAD-7) scale, Self-Depression Scale (SDS), and satisfaction before and after treatment were used to assess the negative emotional states of patients under the two care models.

RESULTS

Patient satisfaction in the observation group was significantly higher than in the control group. The GAD-7 and SDS scores in the observation group were significantly lower than those in the control group, and the total effective rate of sleep improvement in the observation group was significantly higher than in the control group. After treatment, the PSQI scores of the two groups significantly decreased (P < 0.05). The decrease in the observation group was more significant than that in the control group, and the difference between the two groups was statistically significant.

CONCLUSION

Prospective nursing interventions can improve sleep quality and psychological levels and significantly affect conscious patients in the ICU, which is worthy of clinical application.

Conscientiousness protects visual search performance from the impact of fatigue

Visual search-looking for targets among distractors-underlies many critical professions (e.g., radiology, aviation security) that demand optimal performance. As such, it is important to identify, understand, and ameliorate negative factors such as fatigue-mental and/or physical tiredness that leads to diminished function. One way to reduce the detrimental effects is to minimize fatigue itself (e.g., scheduled breaks, adjusting pre-shift behaviors), but this is not always possible or sufficient. The current study explored whether some individuals are less susceptible to the impact of fatigue than others; specifically, if conscientiousness, the ability to control impulses and plan, moderates fatigue's impact. Participants (N = 374) self-reported their energy (i.e., the inverse of fatigue) and conscientiousness levels and completed a search task. Self-report measures were gathered prior to completing the search task as part of a large set of surveys so that participants could not anticipate any particular research question. Preregistered linear mixed-effect analyses revealed main effects of energy level (lower state energy related to lower accuracy) and conscientiousness (more trait conscientiousness related to higher accuracy), and, critically, a significant interaction between energy level and conscientiousness. A follow-up analysis, that was designed to illustrate the nature of the primary result, divided participants into above- vs. below-median conscientiousness groups and revealed a significant negative relationship between energy level and accuracy for the below median, but not above-median, group. The results raise intriguing operational possibilities for visual search professions, with the most direct implication being the incorporation of conscientiousness measures to personnel selection processes.