Childhood Neglect and Loneliness: The Unique Roles of Parental Figure and Child Sex.

There is a well-supported link between experiences of childhood neglect and levels of loneliness in adulthood, with emotional neglect from caregivers being predictive of loneliness. However, current research has yet to explore additional, sex-linked factors that influence this relationship. This study investigates the impact of different neglect types on loneliness, with a focus on the parental figure involved and the child's sex. It was hypothesized that men who experienced emotional neglect from their fathers would score higher in loneliness compared to other parent-child combinations. The findings showed no significant differences in father-son relationships within the context of emotional neglect. However, there was a significant difference in father-son relationships in the context of supervision neglect and loneliness outcomes, relative to all other parent combinations. Consistent with existing research, emotional neglect emerged as the strongest predictor of loneliness. Additionally, sex differences were observed, with women experiencing greater levels of loneliness stemming from neglect compared to men. These findings help address the knowledge gap present in childhood neglect research, with the goal of understanding the long-term consequences of adverse childhood experiences.

Examining the Connectorship Scale: Factor Structure and Correlations With Self-Efficacy and Extraversion.

The Connectorship Scale was designed to assess how leaders connect with their followers and is described to measure eight dimensions: social interactivity, dependability, positive communication, presenting oneself, storytelling ability, belief in networking, tangible introduction, and belief in the importance of online networking. This study explores the scale properties and confirmatory factor analyses (CFA) of the Connectorship Scale and examines how the scale scores correlate with self-efficacy and extraversion based on responses from 454 (52% women) adult business students. The internal consistency estimates suggested that one of the subscales, positive communication, was unreliable; we therefore excluded that subscale from further analyses. A CFA of the seven-factor model suggested good fit once two pairs of error terms were allowed to correlate. Self-efficacy and all facets of extraversion positively correlated with six of the seven connectorship subscales, the exception being the tangible introduction scale. The results raise concern about the positive communication subscale from the Connectorship Scale but do support the use of the other seven subscales for research about engaged and effective leadership.

The influence of personality in persons with MS.

BACKGROUND: Comprehending the influence of personality traits on functional outcomes in persons with Multiple Sclerosis (pwMS) can aid in tailoring interventions and support strategies. We explored how demographic variables and personality traits predicted current vocation, information processing speed, anxiety and depression symptoms, and disability level in pwMS. METHODS: We used a retrospective chart review on pwMS treated at the London (ON) MS Clinic, that assessed demographic data and personality traits. Participants were 384 (68.8 % females, mean age of 37.8, SD = 10.4) individuals with relapsing and primary progressive MS. We performed hierarchical linear regressions to predict outcomes while considering demographic variables and personality traits. RESULTS: Younger age, higher education, and conscientiousness were significant predictors for better information processing speed, current vocation, depression symptoms, and disability level. Neuroticism was positively associated with anxiety and depression symptoms, while extraversion was negatively associated with depression symptoms. Women showed higher anxiety symptoms, while men showed higher depression symptoms. CONCLUSION: Personality traits, such as neuroticism and conscientiousness, influence psychological outcomes in pwMS. Younger age and higher education are associated with better functional outcomes. Thus, when considering personality traits, future interventions should focus on those with higher neuroticism and lower scores on both extraversion and conscientiousness. Consideration of social support, coping strategies, and disease severity in future research may further enrich our understanding of MS outcomes.

A desire for a loud car with a modified muffler is predicted by being a man and higher scores on psychopathy and sadism.

BACKGROUND: Although people are familiar with loud automobiles, equipped with modified mufflers to increase the volume, it is unclear who is most attracted to these vehicles. PARTICIPANTS AND PROCEDURE: A sample of 529 (52% men) undergraduate business students were surveyed and were asked if they viewed their car as an extension of themselves, how much they thought loud cars were "cool", and if they would make their car louder with muffler modifications. Cronbach's α of the three car items was .76; therefore an aggregate was generated. Also a self-report measure of the dark tetrad was completed. RESULTS: Using linear regression, the car aggregate was predicted by being a man and having higher scores on psychopathy and sadism, with the model accounting for approximately 29% of the variance. CONCLUSIONS: As car modifications are illegal in some countries, these findings may be of interest to those heading campaigns to halt these activities.

Exploring Substance Abuse and the Dark Tetrad in Health Sciences and Non-Health Sciences Students.

Substance abuse can be used as a coping strategy to manage stress related to academic activities and is a risk-taking behavior that is also associated with people with higher levels of the Dark Tetrad personality traits. Our study aimed to investigate the association between substance abuse and the Dark Tetrad in students in health and non-health sciences fields. Our sample was composed of 174 college students between 18 and 58 years old (M = 25.60; SD = 9.14). Students completed self-report psychopathy, narcissism, Machiavellianism, sadism, and substance use scales. Results suggest that men consumed more substances and scored higher on the Dark Tetrad than women. Also, when comparing fields, men from health sciences tended to score higher on dark personality traits. These results emphasize the potential risk factors associated with dark personality traits and the consumption of licit and illicit substances by college students, highlighting the need for further studies with this population and the impact of these behaviors and characteristics on future professional practice.

Examining Nurses' Vengeful Behaviors: The Effects of Toxic Leadership and Psychological Well-Being.

Toxic leadership is becoming increasingly common in healthcare organizations and there is strong need for studies focusing on organizational factors that can trigger revenge. Additionally, how psychological well-being functions in shielding against toxicity has not been adequately studied. Hence, this study aims to examine the relationship between toxic leadership and vengeful behaviors of nurses, along with the contingency of psychological well-being on the relationship during the COVID-19 pandemic. In this exploratory cross-sectional study, we attempt to examine the antecedent effect of toxic leadership on vengeful behaviors based on self-reports from 311 nurses. Using partial least squares and moderation analyses, the results show that toxic leadership is an important antecedent of vengeful behaviors among nurses. However, the results provide no statistical evidence to support a moderating role of psychological well-being in the relationship between toxic leadership and vengeful behaviors. This study reveals that nurses exposed to toxic behaviors by their superiors are more likely to engage in vengeance and highlights the fact that nurses are suffering psychologically during the pandemic.

Loneliness and screen time usage over a year.

INTRODUCTION: This study investigates the stability of loneliness in adolescents over a 1-year period. Also, we examine how the use of screen time media (watching television, playing video games, surfing the Internet, and texting) predicts loneliness over a year and how loneliness predicts screen time media usage. METHODS: The study uses survey data from the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behavior Study. A large (N = 20,903; 54% female) sample of Canadian students in grades 9-11 (Time 1) and grades 10-12 (Time 2) were assessed at two-time points, 1 year apart. RESULTS: Loneliness scores were found to be stable over the 1-year period, with a slight increase. Additionally, while loneliness was associated with some screen time within the same year, the effects from loneliness or screen time variables at time one predicting the other at time two were negligible. The study also provides evidence that the various screen time media did not fit a single dimension. Finally, there were sex differences in loneliness and some of the media variables. CONCLUSIONS: Loneliness appears to increase slightly over the course of a year in high school students. Results indicated that Internet use and loneliness are related; however screen time use in one year does not have a substantial impact on loneliness a year later or vice versa. Lastly, the data suggested that researchers examine screen time behaviors individually in their investigations.

Altruism and the Dark Triad.

BACKGROUND: The Dark Triad literature examining pro-social behaviours is minimal, with mixed results. PARTICIPANTS AND PROCEDURE: This study investigates the relationships between the Dark Triad and altruistic behaviours based on self-report data from 286 adults. Altruism was assessed using two scales: a general measure as well as a more recent scale measuring compassionate altruism towards family, friends, and strangers. RESULTS: Machiavellianism negatively correlated with general altruism; however, when controlling for the other dark variables plus age and gender in a regression, narcissism was the only Dark Triad trait that significantly predicted altruism. None of the Dark Triad traits were significantly related to or predictive of compassionate altruism. CONCLUSIONS: This study demonstrates that the Dark Triad and altruism relationships are not straightforward, and that, surprisingly, strong negative relationships between the traits and altruism are not found. Limitations and future research directions are discussed.

Humor Styles Are Related to Loneliness Across 15 Countries.

The relationships between self-report loneliness and the four humor styles of affiliative, aggressive, self-defeating, and self-enhancing were investigated in 15 countries (N = 4,701). Because loneliness has been suggested to be both commonly experienced and detrimental, we examine if there are similar patterns between humor styles, gender, and age with loneliness in samples of individuals from diverse backgrounds. Across the country samples, affiliative and self-enhancing humor styles negatively correlated with loneliness, self-defeating was positively correlated, and the aggressive humor style was not significantly related. In predicting loneliness, 40.5% of the variance could be accounted. Younger females with lower affiliative, lower self-enhancing, and higher self-defeating humor style scores had higher loneliness scores. The results suggest that although national mean differences may be present, the pattern of relationships between humor styles and loneliness is consistent across these diverse samples, providing some suggestions for mental health promotion among lonely individuals.

Dark triads, tetrads, tents, and cores: Why navigate (research) the jungle of dark personality models without a compass (criterion)?

This comprehensive review summarizes and evaluates the present state of the Dark Triad research literature (or more broadly, the dark personality trait literature), and as such serves both a pedagogical purpose, by providing an introduction or primer on the dark personality literature and a scientific purpose by directing future research on key issues that still have not been sufficiently addressed. In this review, we discuss and critique current operational conceptualizations of what it means for a personality trait to be classified as 'dark'. Also discussed is the Dark Core, as well as quantitative issues such as limitations of commonly used statistical treatments, such as multivariate analyses, bifactor modeling, and composite measures, and proposed solutions to some of these issues. Based on a comprehensive and critical appraisal of the literature, future directions are suggested to drive the dark trait field towards a more organized, parsimonious, and productive future.

Political Hearts of Darkness: The Dark Triad as Predictors of Political Orientations and Interest in Politics.

BACKGROUND: This study investigated the relationships between the Dark Triad of personality (sub-clinical psychopathy, Machiavellianism, and narcissism) and four political variables: socio-religious conservatism, support for greater economic equality, overall liberal-conservative orientation, and interest in politics. A theoretical approach that focused on the influence of the Dark Triad in large groups was provided to interpret those relationships. Methodological issues found in previous research that related to the use of abbreviated scales to measure the dark traits and the use of unidimensional indicators of political orientations were addressed. METHODS: A hierarchical regression analysis was conducted to determine whether any of the three dark traits could explain variance in the aforementioned political attributes over and above that accounted for by the Big Five, sex, age, and nationality, using the full personality scales and measures of political orientation that captured both social and economic liberalism-conservatism. RESULTS: Machiavellianism uniquely predicted lower levels of socio-religious conservatism, and both Machiavellianism and narcissism uniquely predicted lower levels of overall conservatism. CONCLUSIONS: There were important links between the Dark Triad and politics.

Loneliness unlocked: Associations with smartphone use and personality.

Communication and relationships have been dramatically altered among emerging adults thanks to the rapid adoption of the smartphone in just over a decade. Studying the effects of evolving personal technology helps researchers understand both the detriments of widespread adoption and the benefits that accompany the technology. One such area of concern is the relationship of technology with loneliness. Emerging adulthood is described as the period of transition from adolescence to adulthood, taking place from age 18-25. This period is characterized by change, exploration, but also a vulnerability to psychological distress. Young adults are not only at greater risk of loneliness compared to other developmental stages, but report greater distress about being lonely (Rokach, 2000). Previous research has found support for the hypothesis that use of social communication on the Internet has a bidirectional relationship with loneliness (Nowland et al., 2018); use of the Internet can support relationships and decrease loneliness, but if used as a compensation for social skill deficits, the Internet can also displace quality time spent in relationships, and thereby increase loneliness. This study examines loneliness and its relationship with smartphone use, while also accounting for individual differences in facets of neuroticism, communication apprehension, emotional support, and nomophobia for emerging adults. Participants (N = 302; MAGE = 18.85) completed self-report measures of loneliness and the individual differences variables. They also reported average daily smartphone data of screen time, pickups, and application (app) use, which was measured by their personal devices. Correlations indicated loneliness was positively associated with screen time, social media app use, neuroticism, social recognition, communication anxiety, and nomophobia. Loneliness was negatively associated with smartphone pickups, communication application use, need for affiliation, and emotional support. A regression analysis revealed that neuroticism, need for affiliation, social recognition, emotional support, and smartphone pickups were significant predictors of loneliness, when taking into account all the individual difference and smartphone use variables. Neuroticism and loneliness have a strong relationship, but a hierarchical regression showed that over and above neuroticism and its facets, smartphone screen time and pickups predict loneliness. Overall, the results for this sample of emerging adults supported the hypotheses by Nowland et al. (2018) about social use of the Internet, but applied to smartphone use. More time spent on one's smartphone and on social media apps is related to increased loneliness, and is discussed in context of identity development. More frequent use (pickups) and use of communication apps is related to decreased loneliness and is discussed with respect to development of relationship intimacy. These results suggest that loneliness in young adults is related to different types of smartphone use, even when accounting for stable characteristics such as personality. Finally, neuroticism remains a significant variable in understanding loneliness, and further examination of lower-order facets help define a more nuanced profile in individual differences.

Exploring Locus-of-Hope: Relational Tendencies, Self-Esteem, Attachment, and Gender.

BACKGROUND: As little research has been devoted to examining associations between the four locus-of-hope dimensions (internal, external-peer, external-family, and external-spiritual) and individual differences, the current study explores the correlations with individual-level individualist and collectivist relational tendencies, self-esteem, insecure attachment, and gender within a culturally diverse sample of university undergraduate students. METHODS: questionnaires were completed by a culturally diverse sample of undergraduate students measuring locus-of-hope, individualist and collectivist relational tendencies, self-esteem, insecure attachment, and gender. RESULTS: State and trait locus-of-hope were significantly correlated. Individualism showed positive correlations with internal and external-family locus-of-hope. Collectivism positively correlated with internal locus-of-hope and the three external locus-of-hope dimensions. Internal locus-of-hope was significantly predicted by self-esteem, relational self-esteem, individualism, and collectivism. External-spiritual locus-of-hope was not significantly predicted by the variables. External-family locus-of-hope was significantly predicted by relational self-esteem and collectivism and external-peer locus-of hope was significantly predicted by relational self-esteem, collectivism, and avoidant attachment style. No significant gender differences in locus-of-hope were found. CONCLUSIONS: The results provide further understanding about the construct of locus-of-hope and provide a foundation for future research to continue exploring the role of locus-of-hope in the development and expression of self-esteem and attachment profiles.

Predicting donation behaviour with the Supernumerary Personality Inventory.

The present study aimed to broaden the investigation of personality traits and donation behaviour beyond the Five-Factor Model (FFM) framework. A sample of 506 participants completed the Supernumerary Personality Inventory (Paunonen, 2002), reported both their frequency of charitable giving and, given the option to donate potential lottery winnings to a charitable cause, the amount that they would donate. Religiosity was moderately positively correlated with charitable frequency, while integrity was weakly positively correlated with donation amount. Manipulativeness and egotism were weakly negatively correlated with donation amount. Overall, the results show limited evidence for the relevance of Supernumerary Personality Inventory personality traits in prosocial behaviour. Suggestions for future research are discussed.

No Laughing Matter: How Humor Styles Relate to Feelings of Loneliness and Not Mattering.

Loneliness and feeling that one does not matter are closely linked, but further investigation is needed to determine differentiating features. The relationship between not mattering to others (anti-mattering) and loneliness was explored by assessing how the two constructs correlated with an interpersonal dimension, specifically four humor styles (affiliative, self-enhancing, self-defeating, and aggressive). One hundred and fifty-eight women and 96 men completed a three-item loneliness scale, a new measure of anti-mattering, and a humor styles questionnaire. Confirmatory factor analysis results indicated that the new anti-mattering measure is a unidimensional scale. Loneliness and anti-mattering were strongly correlated, and each correlated in the same direction with approximately the same magnitude as the four humor styles. The discussion concludes that anti-mattering and loneliness are strongly linked, a finding which may be important in psychological treatment. Humor styles also play a role in psychological well-being and present a unique pathway to mental health.

Genetic and Environmental Causes of Individual Differences in Borderline Personality Disorder Features and Loneliness are Partially Shared.

Loneliness is related to mental and somatic health outcomes, including borderline personality disorder. Here, we analyze the sources of variation that are responsible for the relationship between borderline personality features (including four dimensions, affective instability, identity disturbance, negative relationships, self-harm and a total score) and loneliness. Using genetically informative data from two large nonclinical samples of adult twin pairs from Australia and the Netherlands (N = 11,329), we estimate the phenotypic, genetic and environmental correlations between self-reported borderline personality features and loneliness. Individual differences in borderline personality and loneliness were best explained by additive genetic factors with heritability estimates h2 = 41% for the borderline personality total score and h2 = 36% for loneliness, with the remaining variation explained by environmental influences that were not shared by twins from the same pair. Genetic and environmental factors influencing borderline personality (total score and four subscales separately) were also partial causes of loneliness. The correlation between loneliness and the borderline personality total score was rph = .51. The genetic correlation was estimated at rg = .64 and the environmental correlation at re = .40. Our study suggests common etiological factors in loneliness and borderline personality features.

Using the 16PF to Test the Differentiation of Personality by Intelligence Hypothesis.

The differentiation of personality by intelligence hypothesis suggests that there will be greater individual differences in personality traits for those individuals who are more intelligent. Conversely, less intelligent individuals will be more similar to each other in their personality traits. The hypothesis was tested with a large sample of managerial job candidates who completed an omnibus personality measure with 16 scales and five intelligence measures (used to generate an intelligence g-factor). Based on the g-factor composite, the sample was split using the median to conduct factor analyses within each half. A five-factor model was tested for both the lower and higher intelligence halves and were found to have configural invariance but not metric or scalar invariance. In general, the results provide little support for the differentiation hypothesis as there was no clear and consistent pattern of lower inter-scale correlations for the more intelligent individuals.

Predicting workplace loneliness in the nursing profession.

AIM: This study examined a model investigating how social interaction variables (leader-member exchange (interactions between managers and nurses), trust, and communication frequency) and work meaningfulness influence nurses' experiences of workplace loneliness. BACKGROUND: As workplace loneliness can result in lower job satisfaction and a decrease in workers' health, understanding the contributing factors to loneliness at work is important. METHOD: In this cross-sectional study, Turkish nurses (N = 864) completed self-report scales measuring social exchange between leaders and members, trust in leaders, communication frequency, work meaningfulness, and loneliness. To avoid fatigue and method variance influence, scales were completed over two testing times (separated by a month). RESULTS: Workplace loneliness was associated with less social interaction with leaders (lower leader-member exchange and frequency of communication), less trust in leaders, and lower reports of meaningful work. CONCLUSION: The results suggest that workplace loneliness can be reduced when managers exchange more information and communicate more frequently with their nurses. Workplace loneliness is also reduced when nurses trust their leaders and find their work meaningful. IMPLICATIONS FOR NURSING MANAGEMENT: Managers supervising nurses need to be aware that workplace loneliness occurs and that their interactions and relationships with the nurses will have an impact on experienced workplace loneliness.