Current Psychology最新文献

In positive psychology, defining the wellbeing construct has been a challenge. We used the psychometric network approach to study the structure of wellbeing. The sample consisted of Dutch adults registered with the Netherlands Twin Register. The variables were measured through standardized surveys. The network was estimated using the Mixed Graphical Models method and least absolute shrinkage and selection operator (LASSO) regularization to limit the number of spurious edges. We estimated a network in a trimming sample (N=1343, 63% females, M _age = 53.18, SD _age = 9.45) and in an estimation sample (N=726, 75% females, M _age = 45.27, SD _age = 11.12) to examine its performance and accuracy. Our final network consists of a positive cluster including satisfaction with life, subjective happiness, and flourishing items, and a negative cluster including depressive symptoms, loneliness, and neuroticism items. We identified the four most central nodes: one satisfaction with life item, one neuroticism item, and two depression items. This suggests that to get a general sense of the wellbeing construct, these items would serve as most informative.  The network approach clearly demonstrates the different, yet connected positive and negative clusters of wellbeing and therefore re-affirms the complex interconnectivity of wellbeing phenotypes. In addition, the network results reject the view of strictly delineated wellbeing domains. Having identified the most central nodes in the network, these can be used in futures studies with limited resources, as they are likely to be the most representative of the wellbeing spectrum.

Supplementary information: The online version contains supplementary material available at 10.1007/s12144-024-06363-0.

To be able to develop effective policy and targeted support for children and young people, it is vital to develop and validate measures that enable us to understand what aspects of pandemics are associated with anxiety and stress across a wide age range. We examined the psychometric properties of the Pandemic Anxiety Scale- Parent-report (PAS-P), which measures levels of child and adolescent pandemic-related anxieties. Factor structure, reliability, and convergent and discriminant validity of the PAS-P was assessed in a convenience sample of parents/carers (N- = 8410) over at three time points in 2020 when COVID-19 case rates and restrictions varied. Factor structure was identified via two exploratory factor analyses (EFAs; n = 5601 and n = 1005) and then tested using confirmatory factor analysis (CFA; n = 800), measurement invariance tests, and a longitudinal CFA (n = 1651). Two factors structure for disease and consequence anxiety were observed across both EFAs and were found to have good fit in the CFAs. The PAS-P demonstrated good internal consistency and discriminant validity, as well as partial scalar invariance in latent construct measurement across child age, gender, and time. The PAS-P is a robust parent-report measure of two distinct forms of pandemic-related anxiety, suitable for reporting on children and adolescents aged 4-16 years. Although the scale has been validated in the context of the COVID-19 pandemic, it is not limited to this specific pandemic and, with minor wording modifications, may be a reliable tool in other health epidemic contexts.

Supplementary information: The online version contains supplementary material available at 10.1007/s12144-024-06784-x.

Eustress as a positive response to challenging situations has received increasing attention across diverse literatures, reflecting its potential to improve wellbeing, work performance, and personal growth. In the process, eustress has been defined, measured, and manipulated in myriad ways, leading to fragmentation and vagueness. Because a unified and well-specified construct would significantly support eustress research, we developed one here. Rather than basing it on our subjective views, we developed it empirically, extracting 57 unique features of eustress from 80 theoretical, interventional, empirical, and psychometric articles. Organizing and interpreting these 57 features produced a Comprehensive Hierarchical construct of Eustress (CHE). According to CHE, eustress emerges from three sources: (1) successful goal-directed action, (2) experiencing the moment in an enjoyable, fulfilling, or meaningful manner, and (3) positive stable qualities of the individual. Within each source, CHE establishes specific facets of eustress hierarchically, which in turn organize the 57 eustress features extracted initially. Bibliometric analyses identified CHE's hierarchical elements addressed most often in the eustress literatures. Overall, these results suggest that eustress cannot be specified with a simple definition but should instead be viewed as a family resemblance structure having statistical properties. Rather than taking a single form, eustress manifests itself as diverse states during successful goal-directed action and fulfilling momentary experience. Regularly producing eustress in these manners likely establishes CHE's trait-like qualities for generating eustress effectively on future occasions. Interestingly, these qualities overlap highly with well-established elements of wellbeing, suggesting that wellbeing contributes to eustress in challenging situations.

Supplementary information: The online version contains supplementary material available at 10.1007/s12144-024-06750-7.