Impulsivity, intelligence, and academic performance: Testing the interaction hypothesis

Perceived neighborhood disorder as a moderator of the relationship between marijuana use and disinhibition in a sample of emerging adult African American females

Disinhibition is associated with myriad risk-taking behaviors and adverse outcomes. Both marijuana use and poor neighborhood conditions have been associated with disinhibition. However, the extent to which neighborhood disorder interacts with marijuana use to influence disinhibition has not been studied, extensively. A better understanding of these relationships has implications for designing more effective tailored place-based interventions that aim to reduce risk taking behaviors and related adverse social and health outcomes associated with marijuana use. Thus, the purpose of this study was to examine the interactive effects of perceived neighborhood disorder and marijuana use on disinhibition. The sample included 120 African American female residents of disadvantaged neighborhoods (Mage = 23.6 ± 3.46). We employed hierarchical linear regression analysis to examine the interactive effects of marijuana use and perceived neighborhood disorder on disinhibition, while controlling for age and education. The interaction term was marginally significant (b = 5.66; t(109) = 1.72, p = .08). Next, the conditional effects were explored. Results indicated the association of marijuana use with disinhibition was stronger for females in the higher neighborhood disorder group, compared to those in the lower neighborhood disorder group (10.40 and 4.51, respectively). Our findings support the need for more research on the potential of neighborhood disorder to amplify the effects of marijuana use on disinhibition and related neurobehavioral traits. The identification of contextual moderators and high-risk sub-groups will aid in the design of more tailored place-based interventions that aim to reduce risk-taking behavior among those most vulnerable.

ImGo: A Novel Tool for Behavioral Impulsivity Assessment Based on Go/NoGo Tasks

This manuscript aims to present a novel behavioral impulsivity test ImGo, which is suitable for impulsivity assessment in the general population. A series of three studies was conducted to validate its psychometric qualities. In Study 1 we describe the principles of ImGo and verify its test-retest and split-half reliability and its convergent validity with an impulsivity self-report scale and Stop Signal test. In Study 2 we re-analyze the convergent validity of ImGo with a Stop Signal test and examine the potential relationship between ImGo and oculomotor inhibition measured by an Anti-Saccades test. In Study 3 we present a robust research with a large sample size and investigate the discriminant validity of ImGo with tests of other related cognitive and executive processes. Backed by our findings from these studies we can safely claim ImGo is a powerful tool with a good level of reliability (both test-retest and split-half) and validity (convergent and discriminant). Its potential lies in its use in diagnostic and research practice of experts from various countries as the test has already been translated to 9 languages so far. The open-source Hypothesis platform, on which the ImGo test is running, provides the option of both individual and group testing in laboratory conditions as well as remotely through an internet browser.

Patients admitted to treatment for substance use disorder in Norway: a population-based case-control study of socio-demographic correlates and comparative analyses across substance use disorders

Background

Improved knowledge regarding socio-demographic correlates of people with substance use disorders (SUDs) is essential to better plan and provide adequate services for SUD patients and their families, and to improve our understanding of the complex mechanisms underlying progression into and development of various SUDs. This study aimed to: i) describe demographic, economic, and social correlates of people with SUDs in comparison with those of the general population and ii) compare these correlates across SUDs from licit versus illicit substances, as well as across specific SUDs.

Methods

A national population-based case–control study included all SUD patients enrolled in specialized drug treatment in Norway in 2009–2010 (N = 31 245) and a population control sample, frequency-matched on age and gender (N = 31 275). Data on education level, labour market participation, income level and sources, and family/living arrangement were obtained by linkages to national registers.

Results

Demographic, economic, and social correlates of SUD patients differed substantially from those of the general population, and across specific SUDs. Among SUD patients, those with illicit – as compared to licit – SUDs were younger (mean quotient = 0.72 [0.71–0.72]), more often had low education level (RR = 1.68 [1.63–1.73]), were less often in paid work (RR = 0.74 [0.72–0.76]) and had lower income (mean quotient = 0.61 [0.60–0.62]). Comparison of patients with different SUD diagnoses revealed substantial demographic differences, including the relatively low mean age among cannabis patients and the high share of females among sedatives/hypnotics patients. Opioid patients stood out by being older, and more often out of work, receiving social security benefits, and living alone. Cocaine and alcohol patients were more often better educated, included in the work force, and had a better financial situation.

Conclusion

Findings revealed substantial and important differences in socio-demographic correlates between SUD patients and the general population, between SUD patients with illicit and with licit substance use, and across specific SUD patient groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13199-5.

Personality trait by intelligence interaction effects on grades tend to be synergistic

BACKGROUND

Earlier research has identified both synergistic and compensatory personality traits by intelligence interaction effects on academic performance.

METHODS

The present study employed data on intelligence, personality traits, and academic performance in the 1997 National Longitudinal Survey of Youth (NLSY97, N = 8984).

RESULTS

Some intelligence by personality trait interaction effects, mainly involving indicators of dependability, on high school grades were identified. The interaction effects tended to be synergistic, meaning that the association between the trait and grades tended to strengthen with increased intelligence. A positive association between intelligence and the reliability in the measurement of a dependability composite score accounted for a substantial portion of the synergistic dependability by intelligence interaction effect on academic performance.

CONCLUSIONS

Personality trait by intelligence interaction effects on academic performance tend to be synergistic and may, at least to some degree, be due to a positive association between intelligence and reliability in the measurement of personality traits.

Bedtime Procrastination Partially Mediates the Impact of Personality Characteristics on Daytime Fatigue Resulting From Sleep Deficiency

Getting good and sufficiently long sleep at night is important for health, effective functioning, and well-being. However, insufficient or delayed sleep are important and growing social problems that can lead to fatigue, poor performance, deterioration of well-being, circadian rhythm disturbances, and health problems. One of the significant determinants of sleep deprivation is bedtime procrastination, which is understood as the individual tendency to postpone going to bed in the absence of any external circumstances that force one to do so. Nowadays, this phenomenon is widespread in various social groups, especially among students. Despite the high prevalence of bedtime procrastination, its relationship with personality characteristics has not yet been thoroughly studied. The presented research aimed to identify the possible impact of the basic dispositional personality traits and trait-like personality characteristics on bedtime procrastination and daytime fatigue resulting from a deficiency of sleep at night. The responses from 399 university students who voluntarily took part in an internet survey were analyzed. The severity of bedtime procrastination was assessed using the Bedtime Procrastination Scale. Five basic dispositional personality traits (extraversion, neuroticism, conscientiousness, agreeableness, and openness/intellect) and their components (aspects) were measured using the International Personality Item Pool - Big Five Aspects Scale. Self-esteem and general self-efficacy were assessed using the Rosenberg Self-Esteem Scale and the General Self-Efficacy Scale. Perceived locus of control was measured using the Delta Questionnaire. The direct and indirect relationships between personality variables and daytime fatigue were investigated using linear regression models with bedtime procrastination as a mediator variable. Industriousness and orderliness, both of which are aspects of conscientiousness, were found to be indirectly associated with daytime fatigue as a consequence of their impact on bedtime procrastination. Volatility and withdrawal, both of which are aspects of neuroticism, were found to be directly related to daytime fatigue without the intermediary impact of bedtime procrastination. Self-esteem was shown to be associated with experiencing daytime fatigue, both directly and indirectly through bedtime procrastination. General self-efficacy and external locus of control were associated with daytime fatigue only directly, without the intermediary role of bedtime procrastination. The results of our research indicate that personality factors may not only play an important role in shaping sleep-related health behaviors, but they also affect well-being during the day.

Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children's Cognitive Functioning: Evidence From the ABCD Study®

This study used a machine learning framework in conjunction with a large battery of measures from 9,718 school-age children (ages 9-11) from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study to identify factors associated with fluid cognitive functioning (FCF), or the capacity to learn, solve problems, and adapt to novel situations. The identified algorithm explained 14.74% of the variance in FCF, replicating previously reported socioeconomic and mental health contributors to FCF, and adding novel and potentially modifiable contributors, including extracurricular involvement, screen media activity, and sleep duration. Pragmatic interventions targeting these contributors may enhance cognitive performance and protect against their negative impact on FCF in children.

Adolescent depressed mood and difficulties with emotion regulation: Concurrent trajectories of change

INTRODUCTION

Adolescent depression is a significant mental health concern. Emotion regulation difficulties have been associated with subsequent depressive symptoms, though different facets of emotion regulation are rarely compared. This study examined the degree to which trajectories of change in different facets of emotion regulation (goal-directed behavior, impulse control, and regulation strategies) and depressive symptoms were associated across twelve months in a clinical adolescent sample.

METHODS

Participants included 110 adolescents from the US who were enrolled in a randomized trial that tested a cognitive-behavioral treatment for youth with co-occurring mental health and substance use concerns (M_age = 15.71 years; 57.3% male). Assessments were conducted at baseline, 3-, 6-, and 12-month follow-ups. Three separate bivariate latent basis growth curve analyses were conducted. Correlations between latent intercepts and latent slopes, as well as overall model fit, were examined.

RESULTS

Impulse control and goal-directed behavior were each associated with depressive symptoms at baseline. Additionally, change in impulse control over time was significantly associated with change in depressive symptoms. However, the same was not true for goal-directed behavior. Overall fit indices for models of emotion regulation strategies were below acceptable levels and thus could not be interpreted.

CONCLUSIONS

Findings from the present study indicate that adolescents' depressive symptoms appear to improve as their perceived ability to control impulses improves. These results suggest that addressing impulse control difficulties may be an important step in treating adolescent depression and co-occurring disorders.

Additive or Multiplicative? Predicting Academic Outcomes from Self-Regulation and Context

Many studies have documented the role of self-regulation in predicting academic outcomes. However, fewer have comprehensively measured self-regulation or considered it simultaneously with contextual variables to test formally the often-advanced "risk-buffering" hypothesis, wherein self-regulatory skill protects against contextual risk factors. In a large, regionally representative sample of U.S. adolescents, we linked self-reported demographics, self-regulation, and academic outcomes to Census data assessing neighborhood context and administrative data measuring economic disadvantage and achievement levels on state end-of-grade tests. We find inconsistent evidence for a risk-buffering role of self-regulation in the prediction of academic outcomes. Rather, we demonstrate that self-regulation is independently associated with academic outcomes, even when controlling for demographics and context.

Lower estimated intelligence quotient is associated with suicide attempts in pediatric bipolar disorder

BACKGROUND

Approximately 20% of individual with pediatric bipolar disorder (PBD) have a lifetime history of suicide attempt. Some cognitive measures were associated with a suicide attempt, but no study has assessed the association of this event with the estimated intelligence quotient (IQ) in PBI. In adult Bipolar Disorder no association between IQ and suicidality was found, with different correlations between cognitive measures. There are studies in general population showing a negative correlation and others did not find any association. In Schizophrenia, IQ had a positive correlation with suicide attempt. So, the correlation between IQ and suicidality still controversial.

METHODS

We recruited 63 children and adolescents younger than 18 years of age with PBD based on DSM-IV criteria from an outpatient clinic in Brazil. Manic and depressive symptoms were assessed with the YMRS and CDRS, respectively. Estimated IQ was assessed with the WISC-III. The presence or absense of suicidal attempt, clinical and demographic variables were assessed with the K-SADS-PL-W.

RESULTS

Patients who attempted suicide had lower estimated IQ compared to patients who did not attempt suicide (82.72 ± 18.70 vs. 101.0 ± 14.36; p = 0.009). This finding remained after correction for depressive symptoms and family income (OR = 0.94; 95% CI = 0.89 - 0.99; p = 0.029).

LIMITATIONS

Small sample, reverse causality could not be discarded, we only used two subscales of the WISC-III to estimate intelligence.

CONCLUSION

Estimated IQ and suicide attempts were negative correlated in PBD. Future longitudinal and larger studies may confirm our findings.

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

Objectives: The consequences of impulsive decisions and actions represent a major source of concern to the health and well-being of individuals and society. It is, therefore, crucial to understand the factors which contribute to impulsive behaviors. Here, we examined how personality traits of behavioral tendencies, interoceptive sensibility as well as transient mood states predict behavioral performance on impulsivity and risk-taking tasks.

Method: 574 (121 males; age 18–45) individuals completed self-report personality measures of impulsivity, reward sensitivity, punishment avoidance as well as interoceptive sensibility, undertook a mood assessment and performed a set of cognitive tasks: delay discounting (temporal impulsivity), probability discounting (risk-taking), and reflection impulsivity task. Data were interrogated using principal component analysis, correlations and regression analyses to test mutual relationships between personality traits, interoceptive sensibility, mood state and impulsive behaviors.

Results: We observed a clear separation of measures used, both trait and behavioral. Namely, sensation-seeking, reward sensitivity and probability discounting reflected risk-taking. These were separate from measures associated with impulsivity, both trait (negative and positive urgency, premeditation, perseverance) and behavioral (delayed discounting and reflection impulsivity). This separation was further highlighted by their relationship with the current emotional state: positive affect was associated with increased risk-taking tendencies and risky decision-making, while negative emotions were related to heightened impulsivity measures. Interoceptive sensibility was only associated with negative emotions component.

Conclusion: Our findings support the proposal that risk-taking and impulsivity represent distinct constructs that are differentially affected by current mood states. This novel insight enhances our understanding of impulsive behaviors.

Do Students with Varying Academic Ability Benefit Equally from Personal Qualities? Applying a Trait and State Perspective

Using multilevel models, this study examined whether students with varying academic ability benefit equally from perseverance and intellectual curiosity in terms of academic achievement. In addressing this question two perspectives were applied: a trait perspective, focusing on differences between students, and a state perspective, focusing on differences within students across semesters. By means of an online questionnaire, undergraduate students (N = 2272) were asked to rate themselves on perseverance and intellectual curiosity at the beginning of five consecutive semesters. Results indicate that academic ability but also personal qualities have to be taken into account to explain the differences between students in academic achievement. In particular perseverance was found to be important in explaining differences both between students and within students across semesters. Also, individual students fluctuate quite substantially in their reported perseverance and intellectual curiosity from semester to semester.

The location of the Trait Emotional Intelligence in the Zuckerman's Personality Model space and the role of General Intelligence and social status

The aim of this study was to investigate the relationships between Emotional Intelligence (EI) measured by the Trait Emotional Intelligence Questionnaire (TEIQue) and personality measured by the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ) with the purpose of analyzing similarities and differences of both psychological constructs. Additionally, we studied the relationship among EI, personality, General Intelligence (GI) and a social position index (SPI). Results showed that the ZKA-PQ predicts the 66% (facets) and the 64% (factors) of the TEIQue. High scores in EI correlated negatively with Neuroticism (r: -0.66) and Aggressiveness (r: -0.27); and positively with Extraversion (r: 0.62). Oblique factorial analyses demonstrated that TEIQue scales were located basically in the Neuroticism and Extraversion factors. The SPI and GI no loaded in any factor. These findings showed that EI is a not a distinct construct of personality and it cannot be isolated in the ZKA-PQ personality space. GI is related with the SPI (r: 0.26), and EI correlated with GI (r: 0.18) and SPI (r: 0.16). Nevertheless, we found differences between GI high groups and the TEIQue and ZKA-PQ factors when controlling age and sex. These findings are discussed in the individual differences context.

The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes

The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed.

Disentangling the Correlates of Drug Use in a Clinic and Community Sample: A Regression Analysis of the Associations between Drug Use, Years-of-School, Impulsivity, IQ, Working Memory, and Psychiatric Symptoms

Years-of-school is negatively correlated with illicit drug use. However, educational attainment is positively correlated with IQ and negatively correlated with impulsivity, two traits that are also correlated with drug use. Thus, the negative correlation between education and drug use may reflect the correlates of schooling, not schooling itself. To help disentangle these relations we obtained measures of working memory, simple memory, IQ, disposition (impulsivity and psychiatric status), years-of-school and frequency of illicit and licit drug use in methadone clinic and community drug users. We found strong zero-order correlations between all measures, including IQ, impulsivity, years-of-school, psychiatric symptoms, and drug use. However, multiple regression analyses revealed a different picture. The significant predictors of illicit drug use were gender, involvement in a methadone clinic, and years-of-school. That is, psychiatric symptoms, impulsivity, cognition, and IQ no longer predicted illicit drug use in the multiple regression analyses. Moreover, high risk subjects (low IQ and/or high impulsivity) who spent 14 or more years in school used stimulants and opiates less than did low risk subjects who had spent <14 years in school. Smoking and drinking had a different correlational structure. IQ and years-of-school predicted whether someone ever became a smoker, whereas impulsivity predicted the frequency of drinking bouts, but years-of-school did not. Many subjects reported no use of one or more drugs, resulting in a large number of "zeroes" in the data sets. Cragg's Double-Hurdle regression method proved the best approach for dealing with this problem. To our knowledge, this is the first report to show that years-of-school predicts lower levels of illicit drug use after controlling for IQ and impulsivity. This paper also highlights the advantages of Double-Hurdle regression methods for analyzing the correlates of drug use in community samples.