Extraversion and Neuroticism on College Freshmen's Depressive Symptoms During the COVID-19 Pandemic: The Mediating Role of Social Support

The Influence of the Big Five Personality Factors on Mental Health Before and During the COVID-19 Pandemic: A Prospective Study

The Big Five personality factors (PF) are considered to be predictive of mental health problems, but it is unclear if these factors equally contributed to mental health problems during the COVID-19 pandemic compared to before the pandemic. This prospective study aimed to fill this knowledge gap. For this purpose data was extracted from the population-based LISS-panel. We included adult respondents (Nmales = 1,838, Nfemales = 1892) who participated in three surveys before the pandemic (T1March-2019, T2May-2019, T3November-2019) and in three surveys during the pandemic in 2020 (T4March-2020, T5May-2020, T6november-2020). Multivariate logistic regression analyses were used to examine and compare the longitudinal associations between PF at T2May-2019 and moderate-severe anxiety and depressions symptoms (ADS) at T3November-2019, and longitudinal associations between PF at T5May-2020 and ADS at T5November-2020 among males and females. Control variables (pre-existing ADS, lack support, demographics) were retrieved from the T1March-2019 and T4March-2020 surveys, respectively. For the present study we distinguished five levels (very high to very low) of each PF. For both sexes, those with (very) low emotional stability and/or conscientiousness had considerably higher rates of ADS compared to those with very high levels of the same trait. These findings were similar both before and during the pandemic. Moreover, we found no indications that those with a certain level of a PF during the pandemic were more of less at risk for ADS or persistent ADS, than those with the same level of the same PF before the pandemic. Thus, we found no indications that the pandemic affected the impact of personality factors on moderate-severe anxiety and depressions symptoms.

Exploring patient delay in people with chronic kidney disease: A cross-sectional study

To examine the factors that contribute to patient delays among individuals with chronic kidney disease (CKD) and offer insights to help develop specific risk management strategies. Conducted as a cross-sectional study between September 2021 and April 2022, this study used a convenient sampling technique to select 245 individuals diagnosed with CKD from a Grade 3 Class A hospital located in Shanxi Province. These individuals were chosen as the subjects of the study. The research participants underwent an investigation using several assessment tools, including socio-demographic information questionnaire, medical behavior, the social support rating scale, the simplified coping style questionnaire, and the General Self-efficacy Scale. The study revealed that 35.4% of individuals with CKD experienced patient delay (the interval between the initial onset and the time of seeking medical attention being longer than or equal to 3 months). Through a multifactorial logistic regression analysis, it was determined that various factors independently influenced patient delay in patients with CKD. These factors included the level of knowledge about CKD, educational level, frequency of attending physical examinations, severity of initial symptoms, social support, self-efficacy, positive coping, and negative coping. Numerous factors contribute to the Patient Delay. To effectively enhance awareness and coping abilities regarding CKD in high-risk groups, it is essential to implement focused and continuous interventions throughout the medical seeking process.

Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand

BACKGROUND

Depression is a common mental health problem that can affect everyone at different stages of development. Though the prevalence rate of depression among university students is rising, exploration among engineering students is limited. The aim of the study was to examine the prevalence of depression and its associated factors of among engineering students in Thailand.

METHODS

A total of 346 students participated in this study. All completed the outcome inventory depression subscale (OI-D) to evaluate the level and prevalence of depression. Other variables assessed included social skills, learning styles, relationship satisfaction, interpersonal difficulty, alcohol use, internet addiction, and neuroticism. Correlation and regression analyses were applied to test the association between sociodemographic and psychosocial factors and depression.

RESULTS

Of the 346 students with the mean age of 20.25 (SD, 1.33), 52.31% were male. Based on the OI-D, 35.3% of participants exhibited symptoms indicative of major depression. Multiple regression showed that only neuroticism, interpersonal difficulties, social skills, and self-esteem appeared to be the significant predictors of depression.

CONCLUSION

The prevalence of depression among engineering students in Thailand was unexpectedly high compared with the prevalence of depression among engineering students in some other countries. Intra- and interpersonal factors were found to be associated with depression. Further study on identifying these risk factors should be encouraged.

Assessing Eysenck's PEN model to describe personality in chimpanzees

Questionnaires adapted from human models can be used to reliably assess personality also in non-human primates. In this study, we used an adapted version of Eysenck's Psychoticism-Extraversion-Neuroticism (PEN) model that focuses on three higher-order personality traits. Extending previous work on a small group of chimpanzees (Pan troglodytes), we tested 37 chimpanzees housed at Fundació Mona (Girona, Spain) and the Leipzig Zoo (Germany). We assessed personality with a 12-item questionnaire, which raters scored using a 7-point Likert scale. To identify the personality traits, we conducted data reduction with Principal Components Analysis and Robust Unweighted Least Squares. The ICCs for the single (3, 1) and average (3, k) ratings indicated substantial agreement between raters. Parallel analyses identified two factors to retain, whereas the scree plot inspection and eigenvalues larger than one rule identified three factors. Factor 1 and 2 in our study were identical to the ones previously described for this species (labelled Extraversion and Neuropsychoticism, respectively) and we also obtained a third factor that could be related to Dominance (Fearless Dominance). Thus, our results confirm the potential of the PEN model to describe chimpanzee personality structure.

The Association of Social Support and Loneliness with Symptoms of Depression, Anxiety, and Posttraumatic Stress during the COVID-19 Pandemic: A Meta-Analysis

BACKGROUND

Research suggests that changes in social support and loneliness have affected mental disorder symptoms during the COVID-19 pandemic. However, there are a lack of studies comparing the robustness of these associations.

AIMS

The aims were to estimate the strength of the associations of loneliness and social support with symptoms of depression, anxiety, and posttraumatic stress during the COVID-19 pandemic (2020-2022) in the general population.

METHOD

The method entailed a systematic review and random-effects meta-analysis of quantitative studies.

RESULTS

Seventy-three studies were included in the meta-analysis. The pooled correlations of the effect size of the association of loneliness with symptoms of depression, anxiety, and posttraumatic stress were 0.49, 0.40, and 0.38, respectively. The corresponding figures for social support were 0.29, 0.19, and 0.18, respectively. Subgroup analyses revealed that the strength of some associations could be influenced by the sociodemographic characteristics of the study samples, such as age, gender, region, and COVID-19 stringency index, and by methodological moderators, such as sample size, collection date, methodological quality, and the measurement scales.

CONCLUSIONS

Social support had a weak association with mental disorder symptoms during the COVID-19 pandemic while the association with loneliness was moderate. Strategies to address loneliness could be highly effective in reducing the impact of the pandemic on social relationships and mental health.

The relationship between big five personality and quality of life of people with disabilities: The mediating effect of social support

Objective

The quality of life of people with disabilities is of great significance to social stability and development. Increasing the quality of life among the disabled has become a worldwide topic. This study aims to examine the relationship between the big five personality and quality of life and the mediating effects of social support indicators in people with disabilities.

Methods

This was a cross-sectional study with 358 people with disabilities (193 women and 165 men). A questionnaire was utilized to measure big five personality, social support, and quality of life variables. Pearson's correlation analysis and structural equation modeling were used to examine the relation among big five personality, social support, and quality of life.

Results

QOL was positively correlated with social support (r = 0.402, p < 0.001), extraversion (r = 0.324, p < 0.001), agreeableness (r = 0.474, p < 0.001), conscientiousness (r = 0.482, p < 0.001), and openness (r = 0.498, p < 0.001). QOL was negatively correlated with neuroticism (r = -0.186, p < 0.001). The mediating effect of social support on the relationship between neuroticism and the quality of life of people with disabilities was not significant. Social support significantly mediated the relationship between extraversion, agreeableness, conscientiousness, openness, and quality of life. Overall, positive personality traits (extraversion, agreeableness, conscientiousness, and openness) in the Big Five Personality of people with disabilities could increase their quality of life by Perceiving social support. But social support could not significantly mediate the relationship between neuroticism and the quality of life of people with disabilities.

Conclusion

These new findings suggest that combining individual factors (personality) and environmental factors (social support) can better improve the quality of life of people with disabilities.