Objective: This study aims to identify distinct subtypes of Fear of Progression (FOP) in patients with Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) using latent profile analysis and to investigate associated demographic factors to facilitate personalized treatment by healthcare professionals, thereby improving clinical symptoms and treatment outcomes in OSAHS patients.
Methods: This study employed a convenience sampling method to recruit 307 patients with OSAHS. A cross-sectional survey was conducted to collect data on patients' demographics, the Fear of Progression Questionnaire-Short Form, the Social Support Rating Scale, and the Health Promoting Lifestyle Profile II. Latent profile analysis was used to investigate the heterogeneity of FOP in this patient sample.
Results: FOP in patients with OSAHS can be categorized into three latent subtypes: low FOP group(16.6%), moderate FOP group (44.3%), and high FOP group (39.1%). Univariate analyses revealed that gender, education level, smoking history, exercise frequency, coexistence of other chronic illnesses, sleeping posture, OSAHS diagnosis, social support, and health-promoting behaviors significantly influenced the level of FOP. Multivariate logistic regression analysis further revealed that the risk of moderate to high fear of disease progression was associated with lower social support, reduced engagement in health-promoting behaviors, sleep positions (e.g., sleeping on one's side), occasional smoking, and the diagnostic severity of OSAHS.
Conclusions: This study describes the characteristics of different FOP subtypes, which aids healthcare professionals in gaining a deeper understanding of the population heterogeneity of FOP status in patients with OSAHS. Consequently, it facilitates the development of more precise health promotion intervention strategies, and actively responds to the implementation of "Healthy China 2030".
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http://dx.doi.org/10.1186/s40359-025-02543-0 | DOI Listing |
Actas Esp Psiquiatr
March 2025
CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 100101 Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, 100049 Beijing, China.
Background: The relationship between childhood trauma and depression in early adulthood is complex and influenced by factors such as resilience and personality type. This study aims to investigate the mediating role of resilience and the moderating role of personality types in this relationship.
Methods: A total of 1059 undergraduates (mean age = 19.
Alcohol Clin Exp Res (Hoboken)
March 2025
Center for Behavioral Teratology and Department of Psychology, San Diego State University, San Diego, California, USA.
Background: Individuals with prenatal alcohol exposure (PAE) may face unique family environments that potentially influence adaptive functioning and behavioral challenges. This study aimed to identify profiles of families of children with PAE based on family characteristics, including cohesion, conflict, and organization, and to examine the relationship between family environment profiles and child outcomes.
Methods: Data were collected from caregivers of 283 youth (5-17 years) with histories of PAE.
BMC Psychiatry
March 2025
Department of Operation Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: Depression and anxiety were not only common but also with serious consequence in infertility patients. The current study endeavors to define distinct depression and anxiety profiles of infertility patients and identify central symptoms within different profiles to facilitate targeted interventions.
Method: The research employed K-means Clustering to delineate the depression and anxiety profiles, followed by a repetition of the analysis using Latent Class Analysis (LCA).
Commun Biol
March 2025
Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Dimensionality reduction greatly facilitates the exploration of cellular heterogeneity in single-cell RNA sequencing data. While most of such approaches are data-driven, it can be useful to incorporate biologically plausible assumptions about the underlying structure or the experimental design. We propose the boosting autoencoder (BAE) approach, which combines the advantages of unsupervised deep learning for dimensionality reduction and boosting for formalizing assumptions.
View Article and Find Full Text PDFPlant Dis
March 2025
University of Florida, FLREC, 3205 College Ave., Davie, Davie, Florida, United States, 33314;
The hop plant (Humulus lupulus) is an economically important perennial species of plant due to its role in beer production. While the majority of hop production occurs in central Washington State, local production in regions around the United States is gaining popularity due to local micro-breweries wanting to use locally grown hops in their production. In Florida, production has recently increased, and while most hop plants are grown from tissue culture, the development of a cost-effective diagnostic assay for hop viruses is critical to ensure planting material is clean.
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