"Tomorrow is the busiest day of the week": Executive functions mediate the relation between procrastination and attention problems

Empowered, accountable, and committed? Applying self-determination theory to examine work-place procrastination

Background

– This research examines the role of psychological characteristics (psychological empowerment and psychological ownership) in reducing employees’ workplace procrastination. Further, using organizational commitment theory, this research examines the mediating mechanism of organizational commitment in the relationship between psychological characteristics and employees’ workplace procrastination.

Methods

– Two studies were conducted to test our hypotheses. In Study 1, we collected online data from 146 working individuals via the crowdsourcing platform Prolific. For Study 2, we gathered data from 384 employees in the banking sector in Pakistan using a paper-and-pencil survey questionnaire. Both studies employed a time-lagged data collection approach to minimize common-method bias.

Results

– The research findings supported our hypotheses that organizational commitment mediated the positive relationship between psychological characteristics and employees’ workplace procrastination.

Conclusion

– Previous studies have focused on the factors responsible for employees’ workplace procrastination. This study advances our knowledge by identifying the antecedents of employees’ workplace procrastination and examining the underlying mediating mechanism.

A network analysis of academic procrastination, psychological and environmental factors among medical students

BACKGROUND

Academic procrastination is a multifaceted phenomenon influenced by psychological and environmental factors and has potential negative academic and career consequences. However, there are no studies that have comprehensively explored the mechanisms of academic procrastination in medical students. This study conducts a network analysis of seven factors associated with procrastination, to establish a network of academic procrastination, and to explore the academic procrastination network and the relative importance of the different factors.

METHODS

A sample of 681 students (72.1% women, 27.9% men) completed self-rating questionnaires that measured fear, conscientiousness, self-efficacy, impulsivity, depression, the nature of tasks, teacher traits, and academic procrastination. Two networks were created using regularized partial correlation network analysis (EBICglasso) with scales and items as nodes respectively, to determine the role of psychological and external environmental factors in academic procrastination.

RESULTS

Both networks were linkage active, and all variables showed significant correlations. Impulsivity and depression emerged as the central and bridge components, with the highest centrality indices observed for difficulty concentrating and self-hatred. Environmental factors have the highest expected influence value in the Scale-level network and academic procrastination.

CONCLUSION

The present study shows that impulsivity and depression are key factors in academic procrastination networks in the medical student population, especially difficulty concentrating and self-hatred. It further adds the influential role played by environmental factors.

TRIAL REGISTRATION

This is an observational study based on surveys and network analysis, and no healthcare intervention was involved. Therefore, it was not registered in any clinical trial registry.

Is poor control over thoughts and emotions related to a higher tendency to delay tasks? The link between procrastination, emotional dysregulation and attentional control

A tendency to procrastinate has previously been linked to low attentional control and poor emotion regulation skills. Building upon these findings, in the present study we investigated whether the relationship between procrastination and attention can be corroborated and explained by emotion dysregulation and dispositional spontaneous mind-wandering. University students completed questionnaires along with the Attentional Networks Test for Interactions and Vigilance - executive and arousal components. The results showed that trait procrastination is inversely related to some indices of executive and arousal vigilance. Interestingly, the direct effects between trait procrastination and vigilance scores disappeared when emotion dysregulation or dispositional spontaneous mind-wandering were included in the model. Obtained findings suggest that difficulties in managing emotional reactions and poor control over the focus of one's thoughts might explain the relationship between low attentional control and increased chronic procrastination.

Cognitive behavioral therapy for ADHD predominantly inattentive presentation: randomized controlled trial of two psychological treatments

Introduction

Attention-Deficit Hyperactivity Disorder (ADHD) in adults is common and characterized by difficulties in regulation of attention, activity and goal directed behaviors. These challenges are especially associated with inattentive symptoms, why high levels of inattention imply severe impairment in everyday life. CBT for ADHD-inattentive presentation, (CADDI), is designed to treat inattention and incorporates skills training in organization, behavioral activation, and mindfulness. The aim of this study was to compare the effectiveness of CADDI with regular CBT treatment for ADHD.

Methods

A multicenter, pragmatic, two-arm, parallel, randomized controlled trial compared CADDI to Hesslinger's dialectical behavior therapy protocol. The study included 108 participants from six psychiatric outpatient clinics in Stockholm. Self-reported scales were used to assess outcome measures of behavioral activation, procrastination, symptoms of ADHD, depression, quality of life and functional impairment. Data were analyzed for between and within-group effects using multilevel modeling.

Results

Between-group analysis showed that participants in the CADDI group had significantly greater improvement on the primary outcome measure of activation at post assessment (p = .045, d = 0.49). No significant between-group effect was found on the other measures. However, within-group analysis showed larger effect sizes in the CADDI condition relative to the control condition on several measures. Adherence was good and attrition 21.3% despite effects of the pandemic. Participants and therapists reported higher satisfaction with CADDI as compared to the control group.

Discussion

This trial demonstrated that CADDI was more effective regarding behavioral activation and suggests a potential advantage of an intervention specifically targeting ADHD-I over generic CBT for ADHD. However, the trial was underpowered and failed to prove between-group effects in spite of large differences in effect sizes on several measures. Future research with larger samples and long-term follow-ups is recommended to validate and expand upon these results.

Measuring clinical outcomes in adult ADHD clinics: psychometrics of a new scale, the adult ADHD Clinical Outcome Scale

BACKGROUND

Adult attention-deficit hyperactivity disorder (ADHD) clinics are in their infancy in Ireland and internationally. There is an urgent need for clinical evaluation of these services. Until now, clinical outcomes have relied mainly on functional scales and/or quality of life. However, adult ADHD is a longstanding disorder with many comorbidities. Although medication for ADHD symptoms can have immediate effects, co-occurring problems may take considerably longer to remediate.

AIMS

To present the psychometrics of a short outcome measure of key clinical areas including symptoms.

METHOD

The ADHD Clinical Outcome Scale (ACOS), developed by the authors, is a clinician-rated scale and was administered in consecutive adults attending an ADHD clinic. A modified version was completed by the participant. A second clinician independently administered the scale in a subsample. ACOS consists of 15 items rated on a Likert scale. Two self-report scales, the Adult ADHD Quality of Life Questionnaire (AAQoL) and Weiss Functional Impairment Rating Scale (WFIRS), were also administered.

RESULTS

The mean age of 148 participants was 30.1 years (s.d. = 9.71), and 81 were female (54.7%). The correlation for interrater reliability was r = 0.868, and that between the participant and clinician versions was r = 0.663. The intraclass correlation coefficient for the internal consistency was 0.829, and the correlations for concurrent validity with total AAQoL and WFIRS scores were r = -0.573 and r = 0.477, respectively. Factor analysis revealed four factors: (a) attentional/organisational problems; (b) hyperactivity/impulsivity; (c) comorbidities; and (d) alcohol/drug use, self-harm and tension in relationships.

CONCLUSIONS

The psychometrics of the ACOS are promising, and the inclusion of typically co-occurring clinical domains makes it suitable for use as a clinician-rated outcome measure in every contact with patients attending adult ADHD clinics.

The role of executive functions in mediating the relationship between adult ADHD symptoms and hyperfocus in university students

BACKGROUND

Hyperfocus, a state of intense, narrow and prolonged attentional focus, has been associated with symptoms of attention-deficit/hyperactivity disorder (ADHD) in both clinical and non-clinical populations. Hyperfocus may be explained by difficulties in executive control, typically observed in ADHD.

AIMS

To investigate (1) whether ADHD and executive functions (EF) are associated with hyperfocus and (2) whether EF mediate the relationship between ADHD symptoms and hyperfocus.

METHODS AND PROCEDURES

A non-clinical sample of 380 university students (264 females) completed self-reports of ADHD, EF, hyperfocus and hyperfocus during rewarding activities.

OUTCOMES AND RESULTS

Increased difficulties in EF and severity of ADHD symptoms were significantly and positively correlated with a higher frequency of hyperfocus. Moreover, EF difficulties partially mediated the relationship between ADHD and hyperfocus (after controlling for sex and substance use), but not the relationship between ADHD and hyperfocus during rewarding activities.

CONCLUSIONS AND IMPLICATIONS

Difficulties in EF partially explained the higher frequency of hyperfocus, but not of hyperfocus during rewarding activities, among university students reporting more severe ADHD symptoms. Future research should investigate whether and how specific EF and other ADHD-related neurocognitive difficulties (e.g., reward sensitivity) contribute to various types of hyperfocus experiences in ADHD. WHAT THIS PAPER ADDS?: This paper is a first attempt to explain the relationship between adult ADHD symptoms and hyperfocus experiences. Our findings suggest that, although highly correlated, existing self-reports of hyperfocus measure different aspects of this experience: hyperfocus and reward-related hyperfocus. We replicate previous findings that indicated a greater frequency of both types of hyperfocus in ADHD. Additionally, we demonstrate a connection between EF difficulties and different aspects of hyperfocus. Finally, we extend previous findings by proposing that EF difficulties partially explain the relationship between ADHD and hyperfocus, but not the relationship between ADHD and reward-related hyperfocus. We hypothesize that other neurocognitive difficulties (e.g., reward sensitivity) may contribute to explain the relationship between ADHD and different aspects of hyperfocus.

How to Procrastinate Productively With ADHD: A Study of Smartphone Use, Depression, and Other Academic Variables Among University Students With ADHD Symptoms

OBJECTIVE

The association between chemical dependency and Attention-Deficit Hyperactivity Disorder is widely recognized, but there is less data regarding modern behavioral addictions among young adults.

METHOD

In this cross-sectional study, a sample of 408 Hungarian college students (67.2% female, mean age 23.37 years [SD = 3.87]) responded to an online survey including the Adult ADHD Self-Report Scale, the Center for Epidemiologic Studies-Depression Scale (CES-D), the Procrastination Scale, the Short College Boredom Scale, and the Smartphone Addiction Scale (SAS-SV).

RESULTS

Regression analyses showed that passive procrastination (ß = .31, p < .001), depression (ß = .20, p < .001), academic boredom (ß = .18, p < .001), active procrastination (ß = -.12, p < .001), and smartphone addiction (ß = .13, p < .001) were significantly related to ADHD symptoms, accounting for 41% of the variance.

CONCLUSION

Findings provide important additions to knowledge of mental health challenges among young adults with ADHD.

Validation of the executive function strategy awareness and use questionnaire (SAUQ) in a university student population

Objective: The aim of the study is to design and evaluate the Strategy Awareness and Use Questionnaire to estimate students' awareness and use of strategies that optimize control of attention and/or compensate for stress on an executive system due to environmental and/or neurobiological influences. Participants: One hundred and forty-eight undergraduate and graduate students from various disciplines at an urban Canadian university campus participated in the Spring 2019 semester. Methods: An item analysis was conducted that included an assessment of dimensionality and item trimming. Results: Findings from an exploratory factor analysis suggest a seven-factor solution is optimal; Comprehension Monitoring, Planning/Organization, Self-Reward, Self-Regulation, Organization with Mobile Phone Technology, Regulating Technology, and Organization of Materials. Conclusion: This measure is likely to benefit students, as well as counselors and coaches interested in improving EF strategy use among students in a university population.

What Research Has Been Conducted on Procrastination? Evidence From a Systematical Bibliometric Analysis

Procrastination is generally perceived as a common behavioral tendency, and there are a growing number of literatures to discuss this complex phenomenon. To elucidate the overall perspective and keep abreast of emerging trends in procrastination research, this article presents a bibliometric analysis that investigates the panorama of overviews and intellectual structures of related research on procrastination. Using the Web of Science Database, we collected 1,635 articles published between 1990 and 2020 with a topic search on "procrastination" and created diverse research maps using CiteSpace and VOS viewer. Bibliometric analysis in our research consists of category distribution, keyword co-occurrence networks, main cluster analysis, betweenness centrality analysis, burst detection analysis, and structure variation analysis. We find that most research has focused on students' samples and has discussed the definition, classification, antecedents, consequences and interventions to procrastination, whereas procrastination in diverse contexts and groups remains to be investigated. Regarding the antecedents and consequences, research has mainly been about the relationship between procrastination and personality differences, such as the five-factor model, temperament, character, emotional intelligence, and impulsivity, but functions of external factors such as task characteristics and environmental conditions to procrastination have drawn scant attention. To identify the nature and characteristics of this behavior, randomized controlled trials are usually adopted in designing empirical research. However, the predominant use of self-reported data collection and for a certain point in time rather than longitudinal designs has limited the validation of some conclusions. Notably, there have been novel findings through burst detection analysis and structure variation analysis. Certain research themes have gained extraordinary attention in a short time period, have evolved progressively during the time span from 1990 to 2020, and involve the antecedents of procrastination in a temporal context, theoretical perspectives, research methods, and typical images of procrastinators. And emerging research themes that have been investigated include bedtime procrastination, failure of social media self-control, and clinical interventions. To our knowledge, this is almost the first time to conduct systematically bibliometric analysis on the topic of procrastination and findings can provide an in-depth view of the patterns and trends in procrastination research.

The Effect of Abusive Supervision on Employees' Work Procrastination Behavior

Work procrastination is a retreat behavior associated with negative cognitive experience and it results in great losses to individual as well as organizational development. Understanding the antecedents of employees’ work procrastination behavior contributes to lower frequency of its occurrence. This research builds a dual-moderated mediation model from the perspective of cognitive appraisal theory and explored work procrastination behavior of employees subjected to abusive supervision. With 378 valid returned questionnaires, data collected from 32 companies in Beijing, Shanghai, Tianjin, and Chongqing supports our hypotheses. This result has enriched the understanding of work procrastination behavior and provided practical implications to avoide its negative effects.

Correlates of Poor Sleep and Subsequent Risk of Misdiagnosis in College Students Presenting with Cognitive Complaints

Objectives

To examine the relationships of poor sleep to both subjective and objective cognitive functioning, attention deficit hyperactivity disorder (ADHD) and sluggish cognitive tempo (SCT) symptoms, and mental health variables in college students, controlling for noncredible symptom reporting and noncredible performance.

Methods

99 undergraduate students (Mage = 19.9, SD = 1.1), 60% female and 72% first-year students, completed a neuropsychological battery and self-report questionnaires at a single lab visit. 56% of the sample identified as “poor sleepers” (&gt;5 on the Pittsburgh Sleep Quality Index [PSQI]).

Results

Poor sleepers reported worse current (college grade point average [GPA]) but not past (high school GPA, American college test [ACT] score) academic performance. Additionally, they reported more mental health concerns, including depression and stress, but not anxiety. Poor sleepers reported more functional impairment and subjective cognitive concerns, including more Diagnostic and Statistical Manual of Mental Disorders (DSM) inattentive and hyperactive/impulsive symptoms, more SCT symptoms, and more executive dysfunction, even when controlling for depressive symptoms. However, poor sleepers did not differ from good sleepers on measures of objective cognition.

Conclusions

ADHD and SCT symptoms and concerns in college students may be related to poor sleep, which can lead to misdiagnosis for individuals presenting with ADHD-like complaints for the first time in college. Sleep difficulties may be modifiable with empirically supported sleep interventions; thus, in assessment for either of these presentations, a careful sleep history should be taken.