Background: Numerous publications and analyses conducted in various cultures lead to the conclusion that the latent structure of schemas is not unambiguous. The latest proposal by Bach et al. (2017a) includes 18 schemas and four domains; however, a five domain structure is also acceptable.
Aim: The aim of the research was to directly compare both proposals based on the research of a large group of healthy people.
Method: The schema questionnaire YSQ-S3 was completed by 2348 people aged 18-81 years, of whom women constituted slightly over 54%.
Results: CFA analyses have demonstrated a poor fit to the data of all analysed models, with the model of four correlated domains, which is also characterised by higher loadings (standardised regression loadings), being the closest to fulfil the criteria. Exploratory factor analyses have shown an almost exact reflection of the structure with the assumed four factors; the structure of five factors has not been recreated. The released number of factors indicated a two-factor solution. The additional analysis confirmed positive medium correlations with negative affect and psychopathology symptoms. Negative correlations of self-esteem, positivity scale and positive affect indicate good divergent validity.
Conclusion: The analysis confirms the existence of 18 schemas and supports the new four-domain model of the latent structure of schemas as more appropriate than a model consisting of five domains.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1017/S1352465821000539 | DOI Listing |
Sexual and gender minority young adult (SGM YA) populations use tobacco at higher rates than their non-SGM YA peers. Prior studies have identified significant correlations between interpersonal stigma and tobacco use, yet structural stigma may also influence tobacco use among SGM YA. This study aimed to assess the indirect effects of structural stigma on current tobacco use among SGM YA and non-SGM YA via depletion of economic resources, interpersonal discrimination, and perceived psychological stress.
View Article and Find Full Text PDFBackground: Individual health behaviors are associated with pregnancy outcomes, but their joint effects are rarely considered. We aimed to examine associations between combinations of first trimester health behaviors and hypertensive disorders of pregnancy (HDP), normotensive adverse pregnancy outcomes (APOs), and blood pressure (BP) 2-7 years after delivery.
Methods: Participants in the nuMoM2b and follow-up Heart Health Study were included.
Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians). We here present a novel generative visual attribution technique, one that leverages latent diffusion models in combination with domain-specific large language models, in order to generate normal counterparts of abnormal images. The discrepancy between the two hence gives rise to a mapping indicating the diagnostically-relevant image components.
View Article and Find Full Text PDFJ Epidemiol Community Health
January 2025
University of Warwick Warwick Medical School, Coventry, UK.
Background: Preterm birth (PTB) and small-for-gestational-age (SGA) disproportionately affect women who are Black or Asian. Structural racism produces health inequalities. Identifying latent socioeconomic classes may help to understand the role socioeconomic position (SEP) plays in this inequality.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
College of Nursing Science, Kyung Hee University, Seoul, Republic of Korea.
Background: Emerging infectious disease disasters receive extensive media coverage and public attention. Nurse burnout and attrition peak during health crises such as pandemics. However, there is limited research on nursing issues related to repeated emerging infectious disease crises over time.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!