To Örebro University

Information and communication technologies (ICT) provide digital tools to support and facilitate social engagement. However, the extent to which new ICTs, such as instant messaging, and training on its use, enhance intergenerational family interactions and reduce social isolation and loneliness needs further exploration. In the present study, we developed a brief psychoeducational intervention to promote older adults and their family members (N = 64) to use new technologies to increase communication with each other. With a randomized controlled trial design, we evaluated the effectiveness of the intervention in changing primarily participants’ intergenerational interactions, perceived social isolation, and loneliness. Through repeated-measures analysis of variance, an overall condition by time effect was found in younger family members such that contact frequency improved in the intervention condition compared with the waitlist control condition. Using a dyadic framework, we further investigated the role of the intervention in fostering interactions among family members. Dyadic analyses showed a partner effect with contact frequency in younger adults at pre-assessment predicting contact frequency of older adults at post-assessment. This suggests that support and encouragement from younger family members could increase intergenerational interactions and technology adoption among older adults. Moreover, online phone calls served as a promising tool to enhance intergenerational communication; higher user satisfaction was associated with increased ICT use, perceived usefulness, and fewer barriers to technology. This study provides preliminary findings on the effectiveness of ICT-based interventions for engaging older adults and their family members in the use of newer technologies to promote intergenerational interactions and reduce social isolation.

Research on forgiveness has received growing academic interest. The Enright Forgiveness Inventory (EFI) is one of the most widely used interpersonal forgiveness measures in the world. However, its validation study had not been conducted in Latin America. This study aimed to investigate the structural validity of the EFI 30-item version (EFI-30) in Argentina. An online survey was administrated including the EFI-30 and a social desirability scale, as well as demographic questions. A convenience sample (N = 472) was recruited. All participants were originally from Argentina, and 47.2% were married or cohabiting in a relationship. Factor analysis was used to evaluate structural validity. Part of the EFI-30 is a single-item forgiveness question that was used to examine the inventory’s convergent validity. Other conventional psychometric tests were also performed to validate the previous analyses. The results confirmed the six-factor structure of the EFI-30, namely, positive affect, negative affect, positive behaviour, negative behaviour, positive cognition, and negative cognition. Findings are consistent with previous validation studies across countries. The strong scalability of the Argentine EFI-30 provides multiple avenues for future research. The study might be replicated among other demographic groups (e.g., adolescents) in Argentina.

The present study combined a supervised machine learning framework with an unsupervised method, finite mixture modeling, to identify prognostically meaningful subgroups of diverse chronic pain patients undergoing interdisciplinary treatment. Questionnaire data collected at pre-treatment and 1-year follow up from 11,995 patients from the Swedish Quality Registry for Pain Rehabilitation were used. Indicators measuring pain characteristics, psychological aspects, and social functioning and general health status were used to form subgroups, and pain interference at follow-up was used for the selection and the performance evaluation of models. A nested cross-validation procedure was used for determining the number of classes (inner cross-validation) and the prediction accuracy of the selected model among unseen cases (outer cross-validation). A four-class solution was identified as the optimal model. Identified subgroups were separable on indicators, predictive of long-term outcomes, and related to background characteristics. Results are discussed in relation to previous clustering attempts of patients with diverse chronic pain conditions. Our analytical approach, as the first to combine mixture modeling with supervised, targeted learning, provides a promising framework that can be further extended and optimized for improving accurate prognosis in pain treatment and identifying clinically meaningful subgroups among chronic pain patients.

OBJECTIVE: This study aimed to investigate the interrelations between emotion regulation strategies and different types of anger using network analysis.

METHOD: Data were drawn from a cross-sectional sample of 538 adults (55% females; mean age = 39.8 years, SD = 12.3) seeking treatment for anger. Data were collected between March and November 2019 in Sweden. Participants completed measures of anger problems (anger expression, anger suppression, angry reactions, anger rumination, trait anger, hostility, physical aggression, and verbal aggression) and emotion regulation (cognitive reappraisal, expressive suppression, anger relaxation, and five mindfulness strategies). To determine whether distinct clusters of anger nodes would emerge, exploratory graph analysis was employed. Based on clustering of nodes, we estimated separate networks including all measures of emotion regulation.

RESULTS: Two clusters emerged: one consisting primarily of cognitive components of anger, and another of behavioral. Across networks, anger nodes were strongly interconnected, and anger rumination and anger suppression were especially influential. Several direct links were found between specific emotion regulation strategies and cognitive components of anger, whereas most strategies were only indirectly related to angry behavior. Cognitive reappraisal showed no direct link with any of the anger nodes.

CONCLUSIONS: Our findings reveal potential pathways by which different emotion regulation strategies may influence different types of anger, which could serve as therapeutic targets.

Purpose: There is a wide range of individual and work environment factors that influence work ability among workers withpain and stress-related ill-health. The multiple interactions and overlap between these factors are insufficiently understood,and a network approach could mitigate limitations of previous research. This pilot study aimed to explore interactions betweenindividual characteristics and psychosocial work environment and potential links to long-term work ability.

Methods: Prospective data from a prevention project was used. Individuals (N = 147) with pain and/or stress-related ill-health(95% women) at public sector workplaces filled out baseline questionnaires about a collection of individual and work environ-ment factors, which were used for constructing undirected networks. The model was run in three subsamples of workplaces.Finally, a separate model was established with work ability at 6-month follow-up as outcome variable. A shortest pathwayanalysis was calculated to identify mediators of work ability.

Results: Symptom catastrophizing and perceived stress were the most influential factors in all network models. Symptomcatastrophizing and pain-disability risk were found to mediate the relation between perceived stress and long-term workability. Further, demand-control-support factors were interrelated, and patterns of interaction differed between differenttypes of workplaces.

Conclusion: The findings support the importance of individual factors, specifically symptom catastrophizing in an individual’scoping with pain or stress-problems and its influence on long-term work ability. Catastrophizing might play a role in stress-related disorders which should be further investigated. Individual and work environment factors interact and vary acrosscontext, which needs to be taken into consideration to prevent pain and stress-related ill-health at work.

Research on forgiveness is limited in Ecuador. This study validated the Enright Forgiveness Inventory–30 (EFI-30) among 960 participants in Ecuador, resulting in robust reliability and validity values. Our findings provide avenues for future research and practices.

Non-suicidal self-injury (NSSI) has been tied to several forms of emotional and behavioral dysregulation in adolescence, with less attention paid to regulation of anger. Most assume that anger dysregulation leads to engagement in NSSI, rather than the reverse. However, it is plausible that NSSI compromises adolescents’ abilities to regulate their emotions, including anger, because it may reduce the development of alternative regulatory strategies and intensify negative emotions by reducing tolerance of distress. Using three waves of data from a sample of adolescents in 17 Swedish schools (n = 1,304 M age = 13.68, SD age = .67; 89% of Swedish origin; 58% girls), we examined the directionality of ties between NSSI and three forms of anger dysregulation: dysregulated expressions of anger, anger suppression, and low anger reflection. We also looked for differences in magnitude of paths and gender differences. Random-intercept cross-lagged panel models showed that NSSI predicted changes in all forms of anger dysregulation but found no support for the opposite direction. Gender differences were not evident. Results challenge directionality assumptions and support suggestions that adolescents’ anger regulation degrades when they self-injure.

Objective: Adolescence is an important time period in smoking experimentation and initiation. This study examined heterogeneity in key beliefs about smoking intention among Chinese adolescents.

Methods: Survey data came from 951 students (18 and 19 years) in two high schools in Kunming, Yunnan Province, China. The survey questions assessed smoking beliefs and perceptions based on the Theory of Planned Behavior. Regression and latent class analysis were utilized to identify key beliefs (i.e., beliefs that are most influential in smoking intention) and their heterogeneity.

Results: Emotion-related beliefs were reported by both genders, highlighting the role of anxiety and stress in smoking intention. Female and male adolescents had different sets of key beliefs. There were distinct subgroups of beliefs in the sample (two among female adolescents, and three among male adolescents) characterized by disparate patterns of behavioral beliefs, normative beliefs, and control beliefs and smoking status.

Conclusions: Considerable heterogeneity in belief profiles, which differs based on gender and smoking status, furnishes a more complete understanding of smoking intention among Chinese adolescents. Gender-specific anti-smoking interventions can be targeted to the beliefs of specific subgroups of adolescents. Stress management for students could also be a useful tool to prevent smoking uptake.

Given the predominance of the theory of planned behaviour (TPB) to represent the psychological determinants underlying people's charitable decisions, the present study synthesised the model's key relationships, using meta-analysis, and tested the predictive utility of the model for charitable giving encompassing donations of blood, organs, time, and money. Given its relevance to altruistic decisions, the impact of moral norm was assessed also. A systematic literature review identified 117 samples (from 104 studies) examining donation intentions and/or prospective behaviour using TPB measures. The sample-weighted average effects for all associations were moderate-to-strong with perceived behavioural control (PBC) most strongly associated with intention (r+ = 0.562), followed by moral norm (r+ = 0.537), attitude (r+ = 0.507), and subjective norm (r+ = 0.472). Intention (r+ = 0.424) showed stronger associations with prospective behaviour than PBC (r+ = 0.301). The standard TPB predictors explained 44% of variance in intention (52% including moral norm). Intention and PBC explained 19% of variance in behaviour. A number of TPB associations showed differences when analysed for moderator variables such as length of follow-up for prospective behaviour and type of target behaviour. Stronger associations were found for the (subjective and moral) norm-intention associations among some of the different types of giving behaviours, especially for donating organs and time. Overall, the large proportion of variance explained by the TPB predictors especially for intention highlights those cognitions associated with people's plans to give, informative for charities reliant on people's propensity to give.