Background: Psychological stress is known to affect the immune system. The Limbic Hypothalamic Pituitary Adrenal (LHPA) axis has been identified as the principal path of the bidirectional communication between the immune system and the central nervous system with significant psychological activators. Personality traits acted as moderators of the relationship between life conflicts and psychological distress. This study focuses on the relationship between the Big Five factors of personality and immune regulation as indicated by Lymphocyte counts.
Subjects And Methods: Our study included 32 professional soldiers from the Slovenian Army that completed the Big Five questionnaire (Goldberg IPIP-300). We also assessed their white blood cell counts with a detailed lymphocyte analysis using flow cytometry. The correlations between personality variables and immune system parameters were calculated. Furthermore, regression analyses were performed using personality variables as predictors and immune parameters as criteria.
Results: The results demonstrated that the model using the Big Five factors as predictors of Lymphocyte counts is significant in predicting the variance in NK and B cell counts. Agreeableness showed the strongest predictive function.
Conclusions: The results offer support for the theoretical models that stressed the essential links between personality and immune regulation. Further studies with larger samples examining the Big five factors and immune system parameters are needed.
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Annu Rev Psychol
January 2025
Department of Psychology, University of Calgary, Calgary, Alberta, Canada; email:
People's personality trait levels are often assessed by obtaining self-reports or observer (informant) reports on questionnaires (inventories). When the target person is closely acquainted with the observer-as in the case of spouses, close relatives, or close friends-several findings are obtained for full-length measures of the Big Five (Five-Factor Model) or HEXACO personality factors. First, mean scores tend to be comparable between self-reports and observer reports, although Openness to Experience tends to be higher in self-reports than in observer reports.
View Article and Find Full Text PDFLiver Int
February 2025
Roger Williams Institute of Liver Studies, Foundation for Liver Research, London, UK.
Background: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) encompasses a spectrum of histological conditions ranging from simple steatosis to fibrosing steatohepatitis, and is a risk factor for cardiovascular diseases (CVD). While oxidised apolipoproteins A and B have been linked to obesity and CVD, the association between other oxidised apolipoproteins and MASLD is yet to be established. To fill this gap, we characterised the circulating serum peptidome of patients with MASLD.
View Article and Find Full Text PDFJ Glob Health
January 2025
Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Background: Osteoporosis is a degenerative disease of bone metabolism. The epidemiology of osteoporosis varies by age, sex, and geography. There is a lack of information on the prevalence of osteoporosis among Chinese adults.
View Article and Find Full Text PDFWorld J Gastrointest Oncol
January 2025
Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Background: Esophageal carcinoma (EC) presents a significant public health issue in China, with its prognosis impacted by myriad factors. The creation of a reliable prognostic model for the overall survival (OS) of EC patients promises to greatly advance the customization of treatment approaches.
Aim: To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.
Front Child Adolesc Psychiatry
May 2024
Social Psychiatry and Mental Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Introduction: The present study conducted a secondary data analysis of a comprehensive survey from Child Guidance Centers in Japan to identify factors that are associated with child abuse severity in infancy (0-3 years, 1,868 cases) and preschool age (4-6 years, 1,529 cases). A predictive model for abuse severity was developed.
Methods: The data originated from a nationwide survey that was conducted in April 2013, consisting of details of abuse cases, including child characteristics, abuser attributes, and family situation.
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