Cardiac rehabilitation (CR) remains underutilised, despite its established clinical benefit. A personality traits assessment may help promote CR implementation, as they are determinants of health-related behaviour. This study aimed to examine the association between the Big Five personality traits and outpatient CR participation in patients with cardiovascular disease (CVD) after discharge. This retrospective cohort study included 163 patients aged <80 years, who underwent inpatient CR when hospitalised for CVD. The Big Five personality traits (conscientiousness, neuroticism, openness, extraversion, and agreeableness) of each patient were evaluated at discharge, using the Japanese version of the Ten-Item Personality Inventory. We examined the relationship of each personality trait with non-participation in outpatient CR and dropout within three months, using logistic regression analysis. Out of 61 patients who initiated the outpatient CR, 29 patients dropped out, leaving us with 32 subjects. The logistic regression analysis results showed that high conscientiousness was associated with non-participation in CR. The primary reason for this was a lack of motivation. Conversely, low conscientiousness and high openness were predictors of dropout. This study suggests that the assessment of the Big Five personality traits, especially conscientiousness and openness, can help improve health communication with patients to promote outpatient CR participation after discharge.
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http://dx.doi.org/10.3390/ijerph18168589 | DOI Listing |
PLoS One
December 2024
Clinical Psychology and Psychotherapy of Childhood and Adolescence, Department of Psychology, University of Konstanz, Konstanz, Germany.
Body checking is a common behavior in both the general population and individuals with body image disturbances. Cognitive-behavioral theories postulate that body checking reduces negative emotions in the short term, but over time contributes to the development and maintenance of eating disorder pathology. So far, few experimental studies have assessed these longer-term consequences, mostly under laboratory conditions, yielding inconsistent findings, and without considering individual vulnerability and specific personality traits.
View Article and Find Full Text PDFBackground: Receiving a formal diagnosis for a depressive disorder is a prerequisite for getting treatment, yet the illness inherently complicates care-seeking. Thus, understanding the process from depression symptoms to diagnosis is crucial.
Aims: This study aims to disentangle (1) risk factors for depression symptoms from (2) facilitators and barriers to receiving a diagnosis experiencing depression symptoms.
Front Psychol
December 2024
Yellow River Conservancy Technical Institute, Kaifeng, China.
The proliferation of short video apps has brought to the forefront the issue of adolescent addiction, a challenge that resonates across Chinese society. Despite growing attention, a comprehensive understanding of the factors propelling addiction at various adolescent stages and its impact on academic performance remains scarce. This study aims to fill this void by identifying key growth stages and crafting targeted intervention strategies.
View Article and Find Full Text PDFFront Psychol
December 2024
CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Introduction: Psychological peer counselors play a crucial role in the mental health education of college students, especially in ethnic regions. The study zeroes in on developing a tool for selecting and assessing psychological peer counselors in ethnic-area colleges and universities, using Guizhou Province as a case study.
Materials And Methods: Focusing on psychological peer counselors in ethnic-area higher education institutions, this study amalgamates open-ended questionnaire surveys, interviews, and literature analysis to construct a competency characteristics questionnaire.
Phenomics
October 2024
Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610000 China.
Unlabelled: Despite the established associations between sleep-related traits and major diseases, comprehensive assessment on affected disease modules and their genetic determinants is lacking. Using multiple correspondence analysis and the k-means clustering algorithm, 235,826 eligible participants were clustered into distinct unfavorable sleep patterns [short sleep duration ( = 10,073), snoring (22,419), insomnia (102,771), insomnia and snoring (62,909)] and favorable sleep pattern groups (37,654). The associations of unfavorable sleep patterns with 134 diseases were estimated using Cox regression models; and comorbidity network analyses were applied for disease module identification.
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