The associations between well-being and Cloninger's personality dimensions in a Korean community sample

Background

Well-being is a multidimensional construct comprising affective and non-affective components. Previous research has consistently linked personality traits to well-being, yet cultural variations in this association remain underexplored, particularly in collectivistic cultures such as Korea. Therefore, this study aims to identify universal and culture-specific characteristics of personality in relation to well-being.

Methods

A sample of 527 Korean university students participated, providing data through the Korean version of the Temperament and Character Inventory-RS (TCI-RS), self-rated health (SRH), social support (SS), Satisfaction With Life Scale (SWLS), and positive and negative affect schedule (PANAS). Pearson correlation analysis and ANCOVA, with sex and age as covariates, were employed to examine linear associations. Multidimensional personality profiles were utilized to investigate non-linear associations among character dimensions on different aspects of well-being. All analysis was performed using jamovi 2.3.12.

Results

Self-directedness and cooperativeness exhibited positive linear associations with both affective (positive and negative affect) and non-affective (SRH, SS, SWLS) components of well-being. Self-directedness emerged as a key predictor across various well-being aspects. Cooperativeness was strongly associated with perception of social support. Self-transcendence showed positive associations with both positive and negative affect, considering interactions with other character dimensions.

Discussion

While self-directedness played a pivotal role universally, the impact of cooperativeness and self-transcendence appeared to be influenced by cultural factors, enhancing perception of social support and affecting both positive and negative affect in a collectivistic culture. This study illustrates the importance of considering cultural nuances in the relationship between personality and well-being. Future research should delve deeper into cultural differences, emphasizing the need for subtle interpretations of specific personality traits within diverse cultural contexts.

Depression, Anxiety and Associated Factors Among Korean Adolescent Students During COVID-19

Objectives

Depression and anxiety are emotional difficulties that are common among adolescents. Adolescents suffering from depression and anxiety can exhibit problems such as antisocial behavior, aggression, and academic slump. This study aimed to explore the factors influencing adolescents' depression and anxiety during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

This study examined the data from an online student health survey conducted by the Ministry of Education in 2022. The survey participants were 131194 students ranging from the first grade of middle school to the third grade of high school. The influence of each variable on depression and anxiety was examined.

Results

Factors that predicted depression and anxiety were sex (female), grade level (higher), financial difficulties (existing or unknown), physical activity (higher), sleep time (shorter), media usage time (higher), family/friends relationship (worse), and change in the health status of family, friends, and oneself due to COVID-19 (worse).

Conclusion

These results may help identify patterns of depression and anxiety among adolescents caused by COVID-19 and maximize the intervention effect.

Trajectories of Self-Rated Health Among Industrially Disabled Individuals: A Latent Class Growth Analysis

BACKGROUND

Understanding the self-rated health of industrially disabled individuals is an important variable that significantly affects their quality of life, satisfaction, and return to work after an industrial accident. Since the health of people with industrial disabilities is affected by various environments and variables, interventions and policies that are suitable for their characteristics are needed.

OBJECTIVES

This study aimed to identify changes in self-rated health among industrially disabled individuals, distinguish between different latent classes, and verify predictive factors for each latent class.

METHODS

Four time-point datasets from the 2018-2021 panel study of Korean workers' compensation insurance were used. Using the latent growth curve model, an overall trajectory of self-rated health of industrially disabled individuals was confirmed, and the number and characteristics of different trajectories were identified using the latent class growth model. Multinomial logistic regression analysis was used to identify the predictive factors for each class.

RESULTS

Four classes of self-rated health trajectories were identified: low-decreasing (21.7%), moderate-increasing (15.7%), high-decreasing (56.1%), and low-stable (6.5%) classes. A multinomial logistic regression analysis revealed that significant determinants (age, capacity, type of industrial accident, grade of disability, mental activity, outdoor activity, and social relationships) were different for each latent class. Capacity level affected all potential class classifications.

CONCLUSIONS

To improve the self-rated health of industrially disabled individuals, it is necessary to develop an appropriate strategy that considers the characteristics of the latent class.

Trajectories of self-rated health among community-dwelling individuals with depressive symptoms: A latent class growth analysis

BACKGROUND

This study identified differences between individuals with and without depression regarding demographic and socioeconomic variables, health behavior, health status, health care utilization, and self-rated health (SRH) to identify the depressed group's SRH trajectories.

METHODS

Data of individuals with (n = 589) and without (n = 6856) depression aged ≥20 from the 2013-2017 Korean Health Panel were analyzed. A chi-square test and t-tests examined differences in demographic and socioeconomic variables, health behaviors, health status, health care utilization, and the mean of SRH. Latent Growth Curve and Latent Class Growth Modeling identified SRH development trajectories and the most suitable latent classes explaining the trajectories, respectively. Multinomial logistic regression determined the predicting factors that classified latent classes.

RESULTS

The depressed group had a lower mean SRH than the non-depressed group among most variables. Three latent classes were identified, each showing different SRH trajectories. Body-mass index and pain/discomfort were predicting factors for the "poor" classes compared with the "moderate-stable" class; older age, less national health insurance, less physical activity, more pain/discomfort, and more hospitalization were predictors for the "poor-stable" class. The depressed group's mean SRH was "poor."

LIMITATIONS

Latent Class Growth Modeling in individuals with depression was based on experimental data; however, it needed to review other sample data to identify similar types of latent classes to those suggested in the current study.

CONCLUSIONS

Predictors of the "poor-stable" class that were identified in this study can contribute to the formulation of intervention plans for the health and welfare of individuals with depression.

Poor worker’s long working hours paradox: evidence from the Korea National Health and Nutrition Examination Survey, 2013-2018

Background

Because income and working hours are closely related, the health impact of working hours can vary according to economic status. This study aimed to investigate the relationship between working hours and the risk of poor self-rated health according to household income level.

Methods

We used the data from the Korea National Health and Nutrition Examination Survey VI and VII. The information on working hours and self-rated health was obtained from the questionnaire. After stratifying by household income level, the risk of poor self-rated health for long working hour group (≥ 52 hours a week), compared to the 35–51 working hour group as a reference, were calculated using multiple logistic regression.

Results

Long working hours increased the risk of poor self-rated health in the group with the highest income, but not in the group with the lowest income. On the other hand, the overall weighted prevalence of poor self-rated health was higher in the low-income group.

Conclusions

The relationship between long working hours and the risk of poor self-rated health varied by household income level. This phenomenon, in which the health effects of long working hours appear to diminish in low-income households can be referred to as the ‘poor worker’s long working hours paradox’. Our findings suggest that the recent working hour restriction policy implemented by the Korean government should be promoted, together with a basic wage preservation to improve workers’ general health and well-being.

Low Self-Rated Health as A Risk Factor for Depression in South Korea: A Survey of Young Males and Females

This is a cross-sectional study aimed to examine whether low self-rated health (SRH) is a risk factor for depression among young males and females. Data from the SRH, quality of life (QoL) and depression questionnaires as well as general information, were collected from 512 males and females aged 20-29 years in South Korea. Chi-square test was used to analyze the distribution of depression between the high and low SRH groups. Logistic regression was used to analyze the relationship between SRH and depression after adjusting for covariates. There were 32.6% males and 30.1% females who were at risk for depression. A significant difference in the distribution of depression between the low and high SRH groups in both males and females was found. The low SRH group had a higher prevalence of depression than the high SRH group in both males and females in the crude analysis. However, when the BMI, economic status, and mental component score were adjusted, the OR of the low SRH group was still significant in males. Low SRH may be a risk factor for depression especially in males. Further studies to improve SRH by developing preventive measures against depression status while considering gender characteristics are needed.