Relationship between wisdom, perceived control of internal states, perceived stress, social intelligence, information processing styles and life satisfaction among college students

Decision-Making Styles in Medical Students and Healthcare Professionals: The Roles of Personality Traits and Socio-Emotional Intelligence Factors

Intuitive and deliberative styles can be considered the best-known decision-making styles, which are thought to be linked to actual workplace performance. However, there is a limited research on individual differences in these styles among individuals who provide healthcare. Therefore, adopting the self-report approach, this study examines the roles of the Big Five personality traits and socio-emotional intelligence factors in intuitive and deliberative decision-making styles among medical students and healthcare professionals. The research sample consists of 203 participants (50 medical students, 153 healthcare professionals) who completed the Big Five Inventory, the Trait Meta-Mood Scale, the Tromsø Social Intelligence Scale, and the Preference for Intuition and Deliberation Scale. The regression analyses revealed that attention to one's emotions and social information processing were positively related to intuitive decision-making style, while the clarity of one's emotions and social awareness were negatively related to intuitive decision-making style. It was further shown that conscientiousness, neuroticism, repair of one's emotions, and social information processing were positively related to deliberative decision-making style. The findings highlight the importance of personality and socio-emotional intelligence in understanding decision-making. Specifically, they point out that Big Five personality traits better explain deliberative style, while socio-emotional intelligence factors better explain intuitive style.

Social intelligence and pathological gaming: a longitudinal study of the associations among negative emotions, social intelligence, aggression, and pathological gaming in adolescents

Introduction

Pathological gaming continues to be highlighted as one of the most critical issues concerning adolescents. Numerous studies have aimed to elucidate the relationships between adolescents' negative emotions (e.g., peer stress, anxiety, loneliness) and social factors (e.g., social skills and relationships) with pathological gaming. Despite the recognition of social intelligence as a crucial factor related to social factors in adolescents, there is a paucity of research examining pathological gaming and social intelligence through longitudinal analyses.

Method

This study focuses on exploring the factors that induce or inhibit pathological gaming among adolescents by analysing three-year longitudinal data from Korean adolescent gamers (N=968). Using a structural equation model, the study examines the relationships between adolescents' negative emotions (e.g., peer stress, anxiety, loneliness), social intelligence, and pathological gaming to elucidate their associations.

Results

The results indicate that negative emotions can potentially reduce levels of social intelligence and increase aggression. Increased aggression, in turn, appears to be associated with higher levels of pathological gaming. Social intelligence was found to impact pathological gaming potentially negatively and may exert a significantly stronger influence on aggression compared to negative emotions.

Discussion

The study's findings suggest that bolstering adolescents' social aptitude and addressing mental health concerns could serve as beneficial interventions in tackling issues associated with excessive media engagement among youth. These findings suggest that, within the context of adolescent pathological gaming, social intelligence could significantly affect aggression and emerge as a key variable that may lead to pathological gaming.

Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review

BACKGROUND

Unaddressed early-stage mental health issues, including stress, anxiety, and mild depression, can become a burden for individuals in the long term. Digital phenotyping involves capturing continuous behavioral data via digital smartphone devices to monitor human behavior and can potentially identify milder symptoms before they become serious.

OBJECTIVE

This systematic literature review aimed to answer the following questions: (1) what is the evidence of the effectiveness of digital phenotyping using smartphones in identifying behavioral patterns related to stress, anxiety, and mild depression? and (2) in particular, which smartphone sensors are found to be effective, and what are the associated challenges?

METHODS

We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) process to identify 36 papers (reporting on 40 studies) to assess the key smartphone sensors related to stress, anxiety, and mild depression. We excluded studies conducted with nonadult participants (eg, teenagers and children) and clinical populations, as well as personality measurement and phobia studies. As we focused on the effectiveness of digital phenotyping using smartphones, results related to wearable devices were excluded.

RESULTS

We categorized the studies into 3 major groups based on the recruited participants: studies with students enrolled in universities, studies with adults who were unaffiliated to any particular organization, and studies with employees employed in an organization. The study length varied from 10 days to 3 years. A range of passive sensors were used in the studies, including GPS, Bluetooth, accelerometer, microphone, illuminance, gyroscope, and Wi-Fi. These were used to assess locations visited; mobility; speech patterns; phone use, such as screen checking; time spent in bed; physical activity; sleep; and aspects of social interactions, such as the number of interactions and response time. Of the 40 included studies, 31 (78%) used machine learning models for prediction; most others (n=8, 20%) used descriptive statistics. Students and adults who experienced stress, anxiety, or depression visited fewer locations, were more sedentary, had irregular sleep, and accrued increased phone use. In contrast to students and adults, less mobility was seen as positive for employees because less mobility in workplaces was associated with higher performance. Overall, travel, physical activity, sleep, social interaction, and phone use were related to stress, anxiety, and mild depression.

CONCLUSIONS

This study focused on understanding whether smartphone sensors can be effectively used to detect behavioral patterns associated with stress, anxiety, and mild depression in nonclinical participants. The reviewed studies provided evidence that smartphone sensors are effective in identifying behavioral patterns associated with stress, anxiety, and mild depression.

Perceived stress mediates the association between perceived control and emotional distress: The moderating role of psychological resources and sex differences

Studies have confirmed that perceived control is strongly negatively correlated with emotional distress. However, few studies have explored whether perceived stress plays a potential mediating role in this relationship and whether the association between perceived stress and emotional distress is moderated by psychological resources, such as self-esteem and social support. Furthermore, it is unclear whether there are sex differences in the moderating effects of psychological resources on emotional distress. A total of 951 healthy adults (51.84% females) from different regions of mainland China participated in the study and completed questionnaires in early December 2022, when prevention and control policies concerning COVID-19 in China underwent rapid change. Perceived control negatively correlated with emotional distress, and perceived stress mediated the association between perceived control and emotional distress. In addition, both internal (i.e., self-esteem) and external psychological resources (i.e., social support) moderated the association between perceived stress and emotional distress, and the positive correlation between perceived stress and emotional distress was higher in individuals with low social support (and self-esteem) than in those with high social support (and self-esteem). We found sex differences in the moderating roles of psychological resources. Specifically, self-esteem had a moderating effect on both men and women, whereas social support had a moderating effect only on women. These findings improve understanding of the relationship between perceived control and emotional distress and suggest that intervention programs should be designed to target men and women differently.

Wisdom and wellbeing in polish older adults: the mediating role of forgiveness

Objectives

Possible correlations between wisdom and wellbeing among older people have been extensively debated in psychology. At the same time, researchers emphasize that the effect of older adults' wisdom on their wellbeing depends on numerous mediators. A review of the literature suggests that forgiveness might be one such variable. Thus, this study aimed to investigate whether forgiveness mediated the relationship between wisdom and wellbeing in late adulthood.

Method

In total, 481 participants aged from 60 to 92 years (M = 68.84; SD = 6.31) were involved in the study. All older people participating in the study lived independently in their households. Four psychological instruments were used: (1) the Self-Assessed Wisdom Scale; (2) the Heartland Forgiveness Scale; (3) the Psychological Wellbeing Scale; and (4) the Satisfaction with Life Scale. Therefore, the measurement of the analyzed variables was self-reported.

Results

The results showed that forgiveness mediated the relationships between wisdom and wellbeing in the older population. The indirect effects demonstrated that forgiveness mediated the relationships between wisdom and wellbeing. Wisdom related to higher forgiveness (β = 0.21; p < 0.01), which, in turn, was related to a higher level of psychological (β = 0.48; p < 0.01) and subjective (β = 0.36; p < 0.01) wellbeing.

Conclusion

These findings suggest that forgiveness is an important element of wisdom and wellbeing. The greater the wisdom the participants showed, the stronger the tendency to forgive and the better wellbeing they reported.

Context Matters: Stress for Minority Students Who Attend Minority-Majority Universities

Research on college student stress has typically focused on institutions where the student population is predominately White and continuing-generation. This study explored student stress in a unique context-a public regional university where the majority of students are Latinx, first-generation (FGCS), and of low socioeconomic status (SES). Of the 355 participants in the study, 72.4% self-identified as Latinx and 59.7% were FGCS. Additionally, on a subjective scale of socioeconomic status (1 = lowest, 10 = highest), the mean response was 5.76 (SD = 1.56). Participants (18 years old or older) who were enrolled in a first-year seminar course were recruited for this study. Through an online survey during Fall 2018, first-year students reported levels of perceived and experienced stress related to academic, economic, intrapersonal, and interpersonal concerns. Results of regression analyses indicated that most types of stress were predicted by students' Latinx identity status and SES; FGCS status did not significantly predict stress. These findings highlight the need to explore solutions to address stress for Latinx and/or low SES students. Additionally, the study underscores the necessity of conducting research at educational institutions in which Latinx, FGC, and low SES students comprise the majority of the student body.

The Relevance of Social Intelligence for Effective Optimization of Retirement and Successful Ageing

Retirement is a psycho social process. It refers to the phase of life when a person leaves his job and withdraws from active working life. Proper optimization of retirement is only possible when a person has pre planned his life with proper finances and saving or the government is providing him with a lot of social security benefits. However, such conditions rarely occur as a person is preoccupied in his pre retirement phases. But proper optimization of retirement can also take place when a person has high social intelligence which affects physical and mental health. Hence, this paper is an endeavor to look into the relevance of social intelligence which helps the people in their retirement process in the people. Thus, a survey was done to find the level of Social Intelligence in the people who are ageing and are going to be retired soon. Around 252 people between 55 to 70 years were studied from Delhi and NCR. The result indicated that middle aged and just retired people had high social intelligence as compared to older adults and the former were also able to optimize their retirement effectively for successful ageing. The older adults were not able to cope up with the various issues of retirement due to low social intelligence. Hence, further studies can be carried out to design proper training for enhancement of social intelligence in aged people for their effective optimization of retirement.

Adaption and validation of the Perceived Control of Internal States Scale (PCOISS) in Chinese adults: a cross-sectional study

BACKGROUND

Perceived control of internal states is important for disease prevention, stress buffering and life adaptability. However, there is no psychometric scale to measure control beliefs over internal states in China. This study aimed to adapt and validate the Perceived Control of Internal States Scale (PCOISS) in a large sample of Chinese adults.

METHODS

Data was collected through a big project, in which a cross-sectional online survey was conducted nationwide in China using a powerful Chinese online survey platform named WenJuanXing ( https://www.wjx.cn/ ). We translated the PCOISS into Chinese (C-PCOISS) with the forward-backward translation procedure. For the first time of the survey, a sample of 2709 participants (Sample 1) was valid for final analysis. Sample 1 was split into two datasets for principal component analysis (PCA) (n_A = 1355) and confirmatory factor analyses (CFA) (n_B = 1354) to determine potential factor structure. The scale's validity (i.e., discriminant validity, convergent validity, criterion validity) and internal consistency reliability were evaluated. Among the 1354 respondents (n_B), 761 (n_C = 761) participated in the follow-up second wave of the survey to assess a cross-sectional test-retest reliability.

RESULTS

The C-PCOISS retained 14 items. PCA yielded a three-factor model which was supported with the best fit indices in CFA. The C-PCOISS had satisfactory internal consistency with Cronbach's alpha coefficients of 0.86, 0.78 and 0.72 for three subscales, respectively. The scale also showed adequate test-retest reliability (Pearson correlations coefficient of 0.64, 0.62 and 0.54 with p < 0.001 for three subscales, respectively). Three factors of the C-PCOISS were positively associated with positive affect, and negatively associated with negative affect, depression, compulsion-anxiety and perceived stress.

CONCLUSIONS

The C-PCOISS is reliable and valid for measuring control beliefs over internal states in Chinese adults.

Are Perfectionists Always Dissatisfied with Life? An Empirical Study from the Perspective of Self-Determination Theory and Perceived Control

Compared to non-perfectionists, perfectionists may not be satisfied with the growing needs in their lives to the same extent. To test whether perfectionists are dissatisfied with their lives, we investigated whether trait perfectionism attenuates the relationship between basic psychological needs, perceived control, and life satisfaction. A total of 574 college students self-reported basic psychological needs, perceived control, life satisfaction, and perfectionistic strivings and concerns, with a mean age of 19.53 (SD = 1.61), including 299 women and 275 men. A correlation analysis showed that perfectionistic strivings were significantly positively related to life satisfaction, while perfectionistic concerns were significantly negatively related to life satisfaction. The moderation analysis showed that perfectionistic strivings not only moderated the relationship between basic psychological needs and life satisfaction but also moderated the relationship between perceived control and life satisfaction. Individuals with high perfectionistic strivings generally reported high levels of life satisfaction. Perfectionistic strivings, however, reduced the positive relationship between perceived control and life satisfaction. Perfectionistic concerns moderated the relationship between perceived control and life satisfaction-the higher the perfectionistic concerns, the weaker the positive relationship between perceived control and life satisfaction. The study found that individuals with high perfectionistic tendencies are not always dissatisfied with life, but that perfectionism weakens the relationship between basic psychological needs, perceived control, and life satisfaction. We argue that one way to improve happiness is by coaching individuals who are highly perfectionistic to become self-aware of their personality so both their perfectionistic strivings and concerns are more coherent with their values and goals or character.

Risk perception and mental health among college students in China during the COVID-19 pandemic: A moderated mediation model

Since the outbreak of the COVID-19 epidemic, it has spread on a large scale around the world, seriously affecting people's physical and mental health. In China, almost all schools have postponed semesters, suspended offline classes, and implemented closed-off management, which has brought significant challenges to the study and life of college students. The study aimed to explore the relationship between risk perception, perceived stress, perceived control, and mental health among Chinese college students. This cross-sectional study was conducted among 1,856 college students. The results showed that risk perception was positively correlated with mental health. After adding the mediating variable of perceived stress, risk perception still significantly predicted mental health. In addition, the interaction term of perceived stress and perceived control significantly negatively predicted mental health. Specifically, perceived stress significantly affected mental health in the low-perceived control group. In contrast, in the high-perceived control group, the predictive effect of perceived stress on mental health disappeared. The present study showed that perceived stress partially mediated the relationship between risk perception and mental health; perceived control moderated the relationship between perceived stress and mental health, and high perceived control could buffer the effect of perceived stress on mental health.

"We Are Young, We Run Free": Predicting Factors of Life Satisfaction among Young Backpackers

Although research from a positive psychology perspective is conducted among different populations, few studies have examined the predictors of life satisfaction among young backpackers. The current study focused on young adults (ages 21-30), an age group for whom backpacking treks are a growing phenomenon, during their treks in the Far East and South America. Direct and indirect models were used to identify personal factors and environmental resources contributing to life satisfaction. After at least one month abroad, 318 young adults (M = 23.76) answered a self-report quantitative questionnaire. The findings show that personal resources, social support, and community participation were positively associated with life satisfaction, and risk-taking behaviors were negatively associated with life satisfaction. Social support and community participation partially mediated the association between risk-taking behaviors and life satisfaction and between personal resources and life satisfaction. The implications of the findings for the subjective well-being of young backpackers during their transition to adulthood include, among others, the need to help young backpackers maintain their personal and social resources as valuable assets for coping with challenges during their trips. It is also important to increase awareness of the possible wide-ranging negative effects of risk-taking behaviors during backpacking trips.

Problematic internet use and its association with sleep disturbance and life satisfaction among Palestinians during the COVID-19 pandemic

The current study was conducted to test the relationship between problematic internet use, sleep disturbance, and life satisfaction among Palestinians during the Covid-19 pandemic. The sample consisted of 366 Palestinian adults (129 males and 237 females), recruited from online advertisements, e-mail campaigns, social media, and SMS campaigns. Results of the correlational analysis showed that problematic internet use positively correlated with sleep disturbance (r = .19, p < .01), and negatively correlated with life satisfaction (r = −.17, p < .01). Moreover, life satisfaction negatively correlated to sleep disturbance (r = −.25, p < .01). The regression analysis for predicting problematic internet use found that life satisfaction contributes in a way that was statistically significant towards explaining variance in problematic Internet use (B = -.15, SE = .05, β = −.15), in addition sleep disturbance explained statistically and significantly variance in problematic internet use (B = .16, SE = .04, β = .20). Intervention programs directed at decreasing internet use may need to be updated to better address the issues of “necessary” excessive use during COVID-19 restrictions and re-entry into normalized activity patterns when shut-downs are finished. As a completely new area of investigation, this study can serve as an impetus to further examinations of these important topics.

Using Artificial Neural Networks in Predicting the Level of Stress among Military Conscripts

The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the training and testing of the ANN models. Using nonlinearity in stress research, numerous ANN structures were constructed and verified to limit the optimal number of neurons, hidden layers, and transfer functions. The highest accuracy was obtained by the multilayer perceptron neural network (MLPNN) with a 6-2-2 partition. A standardized rescaling method was used for covariates. For the activation function, the hyperbolic tangent was used with 20 units in one hidden layer as well as the back-propagation algorithm. The best ANN model was determined as the model that showed the smallest cross-entropy error, the correct classification rate, and the area under the ROC curve. These findings show, with high precision, that cohesion in a team and adaptation to military routines are two critical elements that have the greatest impact on the stress level of conscripts.

Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students

University students are routinely influenced by a variety of natural stressors and experience irregular sleep-wake cycles caused by the necessity to trade sleep for studying while dealing with academic assignments. Often these factors result in long-term issues with daytime sleepiness, emotional instability, and mental exhaustion, which may lead to difficulties in the educational process. This study introduces the Daily Sampling System (DSS) implemented as a smartphone application, which combines a set of self-assessment scales for evaluating variations in the emotional state and sleep quality throughout a full academic term. In addition to submitting the daily sampling scores, the participants regularly filled in the Depression, Anxiety, and Stress Scales (DASS) reports and took part in resting-state EEG data recording immediately after report completion. In total, this study collected 1835 daily samples and 94 combined DASS with EEG datasets from 18 university students (aged 23-27 years), with 79.3± 15.3% response ratio in submitting the daily reports during an academic semester. The results of pairwise testing and multiple regression analysis demonstrate that the daily level of self-perceived fatigue correlates positively with stress, daytime sleepiness, and negatively with alertness on awakening, self-evaluated sleep quality, and sleep duration. The spectral analysis of the EEG data reveals a significant increase in the resting-state spectral power density across the theta and low-alpha frequency bands associated with increased levels of anxiety and stress. Additionally, the state of depression was accompanied by an intensification of high-frequency EEG activity over the temporal regions. No significant differences in prefrontal alpha power asymmetry were observed under the described experimental conditions while comparing the states of calmness and emotional arousal of the participants for the three conditions of depression, anxiety, and stress.