A network psychometric evaluation of the Acceptance and Action Questionnaire – III and PsyFlex

Background: Awareness of youth-friendly sexual and reproductive health services (YFSRHS) is an important starting point for enabling young people to identify and seek appropriate sexual and reproductive health information and care. However, awareness of these services may vary across settings, including higher education institutions. Objective: To determine the level of awareness of YFSRHS among undergraduate students at Saint Augustine University of Tanzania (SAUT), Malimbe Campus. Methods: A quantitative descriptive cross-sectional study was conducted among undergraduate students at SAUT Malimbe Campus. Data were collected using a structured, self-administered questionnaire. Of 109 questionnaires distributed, 108 completed questionnaires were included in the analysis. Descriptive statistics were used to summarize students’ awareness and reported sources of information. Results: Of the 108 respondents, 96 (88.9%) reported having heard of YFSRHS, while 12 (11.1%) had not. Social media was the most frequently reported source of information (44.0%), followed by friends or peers (41.0%) and health facilities (36.0%). University programmes and posters or advertisements were reported less frequently. Conclusion: Most respondents had heard of YFSRHS, with social media and peer networks serving as prominent information channels. Strengthening accurate information through these channels, alongside university-based communication, may help address the awareness gap among students who remain unreached.

The purpose of this research is to analyze the economic self-management strategies used by students of the Faculty of Business Sciences of the Technical University of Machala during their academic training; Interest in this study arose from the need to understand how students face economic difficulties that arise in their training. A mixed approach was applied and a survey was used on a representative sample of 367 students, identifying the main source of income for a part of the student population, evidencing alternatives to sustain their expenses and reduce their economic dependence. The most used strategies were observed when they go through difficult situations and if the income is sufficient to cover their expenses, reflecting the existence of limitations and conditioning the way of organizing their resources and decision making. Likewise, it was identified that students usually perceive an impact. in their academic performance. The results allowed us to understand the economic dynamics experienced by university students and provide information for the design of institutional strategies that contribute to strengthening permanence, well-being and academic success.

ABSTRACT Introduction Anxiety is central to the psychotherapy process, yet psychotherapists routinely infer a client's anxiety intensity from observable behaviour rather than from formal measurement, with no widely accepted framework to organise which observable markers indicate which levels of anxiety. This exploratory study examined how therapists make such classifications. Method Ninety‐one mental health professionals were randomly assigned to classify 41 text‐described behavioural and physiological markers using either a 5‐level or a simplified 3‐level category system, both derived from an integrated model of state anxiety in psychotherapy. Results Response distributions departed significantly from uniformity for nearly all markers in both formats, and the rank ordering of markers by intensity was highly consistent across formats, suggesting that therapists may share broad intuitions about relative marker intensity. Which markers elicited agreement, however, was far less reproducible, depending substantially on the response format. Convergence also depended on where the agreement criterion was set, declining from 90.2% to 51.2% of markers in the 3‐level format and from 63.4% to 22.0% in the 5‐level format as the criterion rose from > 0.50 to > 0.70. The 3‐level format yielded more classifiable markers at every criterion, although this advantage was not consistent across indices, whereas the 5‐level format elicited fewer ‘Insufficient to Determine’ responses. Markers placed at the highest intensity levels were classified most consistently. Discussion These findings offer preliminary groundwork for research on marker operationalisation, contextualised rating tasks and the development of training materials for psychotherapy process research.

Although physical activity enjoyment is associated with athletes’ psychological outcomes, the mechanisms underlying its relationship with mental well-being remain unclear. This study examined the mediating role of loneliness among athletes. A correlational survey design was employed. The participants consisted of 350 athletes selected through criterion sampling, including 178 females (Mage= 20.58 ± 1.99) and 172 males (Mage= 21.91 ± 4.88). Data were collected using the Physical Activity Enjoyment Scale, UCLA Loneliness Scale–Short Form, and Warwick-Edinburgh Mental Well-Being Scale. Pearson correlation analysis and PROCESS Macro Model 4 mediation analysis were conducted, and indirect effects were tested using 5,000 bootstrap samples. Physical activity enjoyment was positively associated with mental well-being (r= .586, p< .01) and negatively associated with loneliness (a= −.196, p< .01). Loneliness was negatively associated with mental well-being (b= −.447, p< .01). The mediation analysis revealed a significant indirect effect of physical activity enjoyment on mental well-being through loneliness (indirect effect= .088, 95% CI [.026, .147]). These findings indicate that enjoyment of physical activity contributes to athletes’ mental well-being and that loneliness partially explains this relationship. The results emphasize the importance of considering social connectedness and psychological experiences in understanding athletes’ well-being.

This study examined the relationship between AI companionship- operationalized as attachment anxiety and avoidance toward AI- and psychological well-being among 50 Gen Z adults (aged 18-29) in India. Using the Experiences in Human-AI Relationships Scale (EHARS) and the WHO-5 Well-Being Index, the study found no significant associations between attachment to AI and well-being. These findings, though limited by sample size and design constraints, contribute to the growing literature on human-AI relationships in non-Western contexts.