Investigating the Goldilocks Hypothesis: The Non-Linear Impact of Positive Trait Change on Well-Being

Reciprocal relationships between personality traits and psychological well-being

This study used an American sample collected over a period of approximately 2 decades (at 3 time points) to examine the temporal relationships between psychological well-being and personality traits (i.e., neuroticism, extraversion, agreeableness, conscientiousness, and openness to experience). The random-intercept cross-lagged panel model was used to separate between-person and within-person sources of variation. Between-person correlations were comparable to those of previous studies. New insights were gained at the within-person level. There were reciprocal relationships between psychological well-being and openness and extraversion, suggesting the joint development of plasticity-related traits and well-being over time. The relationships between psychological well-being and conscientiousness and agreeableness were unidirectional, with psychological well-being preceding these traits. Despite a strong between-person association between neuroticism and psychological well-being, the two were not related at the within-person level.

Interplay between personality traits and learning strategies: the missing link

Students with varying personality traits are likely to employ diverse learning and study strategies. However, this relationship has never been explored in the medical education context. This study's aim was to explore the relationship between learning strategies and personality traits among medical students. This study was a cross-sectional study, and a quantitative approach was employed using two self-administered questionnaires: one to assess the personality traits from the Five-Factor Model (Conscientiousness, Neuroticism, Extraversion, Openness, and Agreeableness), and the other to assess 10 learning strategies (Anxiety, Attitude, Concentration, Information Processing, Motivation, Selecting Main Ideas, Self-Testing, Test Strategies, Time Management, and Using Academic Resources). A stratified random sampling technique was used to recruit medical students at Alfaisal University in the preclinical and clinical years (N = 309). Pearson correlation coefficient was used to measure the relationship between variables, and linear regression was used to evaluate how personality traits predicted learning strategy selection. Personality traits predicted the selection of learning strategies, especially Conscientiousness and Neuroticism. Conscientiousness showed a positive correlation with seven learning strategies and was the most important predictor of learning strategies students employ. Neuroticism correlations and predictions were negative. The other three traits showed weaker correlations. These correlations were between Extraversion and Using Academic Resources (r = 0.27), Information Processing (r = 0.23), and Attitude (r = 0.19); Openness and Information Processing (r = 0.29); and Agreeableness and Attitude (r = 0.29). All personality domains influence at least one learning strategy, especially Conscientiousness and Neuroticism. This study helps build a foundation for individualized coaching and mentorship in medical education.NEW & NOTEWORTHY This study aspires to build a foundation for individualized coaching and mentorship in medical education through utilizing personality traits to empower academic success. We demonstrate that all personality domains influence students' selection of at least one learning strategy, especially Conscientiousness and Neuroticism.

Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets

Adolescents spend a substantial and increasing amount of time using digital media (smartphones, computers, social media, gaming, Internet), but existing studies do not agree on whether time spent on digital media is associated with lower psychological well-being (including happiness, general well-being, and indicators of low well-being such as depression, suicidal ideation, and suicide attempts). Across three large surveys of adolescents in two countries (n = 221,096), light users (<1 h a day) of digital media reported substantially higher psychological well-being than heavy users (5+ hours a day). Datasets initially presented as supporting opposite conclusions produced similar effect sizes when analyzed using the same strategy. Heavy users (vs. light) of digital media were 48% to 171% more likely to be unhappy, to be in low in well-being, or to have suicide risk factors such as depression, suicidal ideation, or past suicide attempts. Heavy users (vs. light) were twice as likely to report having attempted suicide. Light users (rather than non- or moderate users) were highest in well-being, and for most digital media use the largest drop in well-being occurred between moderate use and heavy use. The limitations of using percent variance explained as a gauge of practical impact are discussed.

Predicting physical and mental health symptoms: Additive and interactive effects of difficulty identifying feelings, neuroticism and extraversion

OBJECTIVE

Alexithymia, neuroticism, and extraversion have been described as relevant predictors of mental and physical health conditions, but their putative interactive effects remain poorly understood and their prospective effects are not well studied. The present study has investigated the differential contributions of distinct personality traits in predicting mental and somatic health symptoms in cross-sectional and longitudinal analyses.

METHODS

Additive and interactive effects of neuroticism and extraversion (NEO-FFI), the TAS-20 total score (20-Item Toronto Alexithymia Scale) and its factors (Difficulty Identifying Feelings (DIF), Difficulty Describing Feelings (DDF) and External Oriented Thinking (EOT)) have been investigated on depressive symptoms, the number of chronic diseases, somatic and mental subjective health complaints. Analyses have been based on data from the population-based "Study of Health in Pomerania" (SHIP) in cross-sectional (N = 1704) and longitudinal (N = 1244) analyses.

RESULTS

In cross-sectional and longitudinal analyses, additive associations of the TAS-20 total score and neuroticism on somatic and mental health complaints have been observed. The effects of the TAS-20 total score have been mainly carried by DIF. Further, in interaction effetcs extraversion has attenuated the negative impact of neuroticism, whereas DIF has augmented it.

CONCLUSION

The present study is the first demonstrating longitudinal effects of alexithymia, particularly DIF, neuroticism, and extraversion in predicting mental and somatic health symptoms. Associations between DIF, neuroticism, and extraversion have been additive and interactive. Hence, subjects high in neuroticism and DIF but low in extraversion have reported most health symptoms and thus might be in need for prevention strategies. Treatments chould be adapted to the associated combination of the personality characteristics.

Future directions in personality, occupational and medical selection: myths, misunderstandings, measurement, and suggestions

This paper has two objectives: (1) presenting recent advances in personality theory whereby personality traits are conceptualized within a framework that focuses on the dynamic interactions of behaviour, biology, context, and states, and (2) discussing the implications of these developments for measurement and medical selection. We start by presenting evidence that traits are no longer regarded as stable deterministic predictors of behaviour. Instead, traits are found to change across generations, the life span, and in response to environmental contingencies. Thus, there is an urgent need to explore how traits change as function of medical education. Second, drawing on recent theory and research (behavioural reaction norms and the density distribution model) we highlight evidence to show how the expression of trait relevant behaviour is dependent on context, and is distributed with an average (typical behaviour or personality) and a variance (plasticity or adaptability), with traditional personality measure associated with typical responding. Third, we demystify that some traits are better than others showing that so-called "good" traits have a dark-side. Fourth, we show how these developments impact on how personality might be assessed, thereby presenting recent evidence on the use of contextualized personality measures, situational judgment tests, other reports, and implicit measures. Throughout the paper, we outline the key implications of these developments for medical selection practices.