In this article, we propose integrated generalized structured component analysis (IGSCA), which is a general statistical approach for analyzing data with both components and factors in the same model, simultaneously. This approach combines generalized structured component analysis (GSCA) and generalized structured component analysis with measurement errors incorporated (GSCAM) in a unified manner and can estimate both factor- and component-model parameters, including component and factor loadings, component and factor path coefficients, and path coefficients connecting factors and components. We conduct 2 simulation studies to investigate the performance of IGSCA under models with both factors and components. The first simulation study assesses how existing approaches for structural equation modeling and IGSCA recover parameters. This study shows that only consistent partial least squares (PLSc) and IGSCA yield unbiased estimates of all parameters, whereas the other approaches always provided biased estimates of several parameters. As such, we conduct a second, extensive simulation study to evaluate the relative performance of the 2 competitors (PLSc and IGSCA), considering a variety of experimental factors (model specification, sample size, the number of indicators per factor/component, and exogenous factor/component correlation). IGSCA exhibits better performance than PLSc under most conditions. We also present a real data application of IGSCA to the study of genes and their influence on depression. Finally, we discuss the implications and limitations of this approach, and recommendations for future research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Objective The objective of the present study was to explore causal pathways to understand how second traumatic experiences could affect the development of emotional exhaustion and psychiatric problems.Methods A total of 582 workers who had jobs vulnerable to secondary traumatic experiences were enrolled for this study. Emotional exhaustion, secondary trauma, resilience, perceived stress, depression, anxiety, and sleep problems were evaluated. A model with pathways from secondary traumatic experience score to depression and anxiety was proposed. The participants were divided into three groups according to the resilience: the low, middle and high resilience group.Results Resilience was a meaningful moderator between secondary traumatic experiences and psychiatric problems. In the path model, the secondary trauma and perceived stress directly and indirectly predicted perceived stress, emotional exhaustion, depression, anxiety, and sleep problems in all three groups. Direct effects of perceived stress on depression and anxiety were the largest in the low resilience group. However, direct effects of secondary trauma on perceived stress and emotional exhaustion were the largest in the high resilience group.Conclusion Understanding the needs of focusing for distinct psychological factors offers a valuable direction for the development of intervention programs to prevent emotional exhaustion among workers with secondary traumatic experiences.

Depressive symptoms have been commonly reported in older adults during the coronavirus disease (COVID-19) pandemic. Social isolation as a result of social distancing to prevent COVID-19 was reported to increase the level of depressive symptoms both directly and indirectly through the mediating effect of loneliness. Depressive symptoms in older adults can be regulated through health behaviors such as physical activity. Therefore, this study used a moderated mediation model to explain depressive symptoms. The English Longitudinal Study of Ageing COVID-19 wave 2 data were used. A total of 296 individuals were excluded due to missing values, leaving a final sample of 6499. Depressive symptoms, social isolation, loneliness, and physical activity were used in the moderated mediation analysis with various demographic and general health variables as covariates. Loneliness was found to significantly mediate the relationship between social isolation and depression. While moderate physical activity significantly moderated the effects of social isolation and loneliness on depressive symptoms, mild physical activity alone significantly moderated the effects of loneliness on depressive symptoms. This study revealed the impact of social isolation on depressive symptoms directly and indirectly mediated by loneliness, with a moderating effect of moderate and mild physical activity in the elderly during COVID-19 in a moderated mediation model.

Hyun Seo Lee, Dongil Min, Seung Yeon Baik, Aeran Kwon, Min Jin Jin, Seung-Hwan Lee. Clin Psychopharmacol Neurosci 2022;20:292-9. https://doi.org/10.9758/cpn.2022.20.2.292

Yong-Wook Kim, Sungkean Kim, Min Jin Jin, Chang-Hwan Im, Seung-Hwan Lee. Clin Psychopharmacol Neurosci 2024;22:53-66. https://doi.org/10.9758/cpn.22.1035

Objective Individuals with borderline personality disorder (BPD) commonly have a favorite person (FP), whom they are heavily emotionally attached to and dependent on. This study aims to identify and illustrate the patterns of destructive FP relationships based on actual experiences described by those with BPD.Methods A data mining process was conducted using raw data collected from online communities, such as blogs and social networks. An in-depth review of the information to better understand the natural course of the FP relationship was also conducted.Results Individuals with BPD form an intense and insecure attachment toward their FP, from which they enormously suffer. FPs can be their friends, romantic or life partners, or family members. As their feelings go beyond their control, being increasingly obsessed with their FP, they make their FP gradually lose hope in continuing the relationship and want to quit trying to fulfill their needs. The relationship finally ends when the FP stops being responsible for meeting their expectations and eventually drifts away.Conclusion This study suggests that certain FPs, distinctively named Teddy Bear Person, may behave in a particular manner to increase the likelihood of the FP relationship becoming more destructive. Moreover, the rejection sensitivity model should be discussed to understand their dysfunctional interaction.