Multidimensional Models of Perfectionism and Procrastination: Seeking Determinants of Both
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Mood Disorders Workshop 2010
Mood Disorders Workshop 2010 Dr Andrew Howie / Dr Tony Fernando Psychological Medicine Faculty of Medical and Health Sciences University of Auckland Goals To learn about the clinical presentation of mood disorders Signs and symptoms Mental status reporting How to ask questions To be able to differentiate the various types of pathological mood states Outline of treatment To understand how it is to have a mood disorder from a person who experiences it Not included in today’s workshop but student has to know… Etiology and Pathophysiology Genetics Social/ Developmental and Environmental factors Details of variant forms Neurobiology Abnormalities in neurotransmission Neuroimaging Neuroendocrine functioning Useful resources (for further reading) American Psychiatric Association guidelines: http://www.psych.org/MainMenu/PsychiatricPrac tice/PracticeGuidelines_1.aspx NICE Guidelines: http://www.nice.org.uk/ RANZCP Guidelines: http://www.ranzcp.org/resources/clinical- memoranda.html Concept of Mood Spectrum Euphoric Ecstatic Optimistic, cheerful “Glass half full” Even mood, stable, content Pessimistic “Glass half empty” Hopeless, worthless suicidal Individualized Set point/ range Reactivity to situations/ thoughts Neutral Positive Negative Despite fluctuations, the individual still is able to function socially, vocationally Modifiable? Pathologic equivalents Euphoric Manic Ecstatic Hypomanic Optimistic, cheerful Hyperthymic “Glass half full” Euthymia ( not pathologic) Even mood, stable, content Pessimistic -
An Exploration of Problematic Smartphone Use Among Chinese
Int J Ment Health Addiction https://doi.org/10.1007/s11469-018-9961-1 ORIGINAL ARTICLE An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing Zeyang Yang 1 & Kathryn Asbury1 & Mark D. Griffiths2 # The Author(s) 2018 Abstract Over the past decade, there have been an increasing number of studies that have investigated problematic and/or ‘addictive’ smartphone use. The present study explored the prevalence and correlates of problematic smartphone use (PSU) among Chinese university students. Few studies have investigated relationships between PSU and factors such as academic anxiety, academic procrastination, self-regulation, and subjective wellbeing. The present study proposed and tested a hypothetical model of relationships between PSU and these factors. A total of 475 Chinese university students completed a paper-based survey during class breaks. The survey comprised a battery of psychometric scales translated into Chinese translations examining the study variables (i.e., academic anxiety, academic procras- tination, self-regulation, life satisfaction, and PSU). Path analysis was applied to test the hypothetical model. A good model fit was found (CFI = 1.00, RMSEA = 0.008), in which PSU predicted academic procrastination (β = 0.21, p < 0.001) and academic anxiety (β =0.18, p < 0.01). Also, self-regulation predicted PSU (β = − 0.35, p < 0.001), academic anxiety (β = − 0.29, p < 0.001), academic procrastination (β =0.23,p < 0.001) and life satisfaction (β =0.23, p < 0.001). PSU mediated the relationships between self-regulation, and both academic anxiety and academic procrastination. -
Neural Correlates of Irritability in Disruptive Mood Dysregulation and Bipolar Disorders
ARTICLES Neural Correlates of Irritability in Disruptive Mood Dysregulation and Bipolar Disorders Jillian Lee Wiggins, Ph.D., Melissa A. Brotman, Ph.D., Nancy E. Adleman, Ph.D., Pilyoung Kim, Ph.D., Allison H. Oakes, B.A., Richard C. Reynolds, M.S., Gang Chen, Ph.D., Daniel S. Pine, M.D., Ellen Leibenluft, M.D. Objective: Bipolar disorder and disruptive mood dysregu- Results: Participants with DMDD and bipolar disorder lation disorder (DMDD) are clinically and pathophysiolog- showed similar levels of irritability and did not differ from each ically distinct, yet irritability can be a clinical feature of both other or from healthy youths in face emotion labeling ac- illnesses. The authors examine whether the neural mech- curacy. Irritability correlated with amygdala activity across all anisms mediating irritability differ between bipolar disorder intensities for all emotions in the DMDD group; such cor- and DMDD, using a face emotion labeling paradigm be- relation was present in the bipolar disorder group only for cause such labeling is deficient in both patient groups. The fearful faces. In the ventral visual stream, associations be- authors hypothesized that during face emotion labeling, tween neural activity and irritability were found more con- irritability would be associated with dysfunctional acti- sistently in the DMDD group than in the bipolar disorder vation in the amygdala and other temporal and prefron- group, especially in response to ambiguous angry faces. tal regions in both disorders, but that the nature of these associations would differ between DMDD and bipolar Conclusions: These results suggest diagnostic specificity in disorder. the neural correlates of irritability, a symptom of both DMDD and bipolar disorder. -
Clarifying the Perfectionism-Procrastination Relationship Using a 7-Day, 14-Occasion Daily Diary Study
Personality and Individual Differences 112 (2017) 117–123 Contents lists available at ScienceDirect Personality and Individual Differences journal homepage: www.elsevier.com/locate/paid Clarifying the perfectionism-procrastination relationship using a 7-day, 14-occasion daily diary study Martin M. Smith a,⁎, Simon B. Sherry b,c,DonaldH.Saklofskea, Aislin R. Mushqaush d a Department of Psychology, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 5C2, Canada b Department of Psychology and Neuroscience, Dalhousie University, 1355 Oxford Street, PO BOX 15000, Halifax, Nova Scotia B3H 4R2, Canada c Department of Psychiatry, Dalhousie University, 5909 Veteran's Memorial Lane, Halifax, Nova Scotia B3H 2E2, Canada d Department of Psychology, Lakehead University, 955 Oliver Rd, Thunder Bay, Ontario P7B 5E1, Canada article info abstract Article history: Perfectionistic concerns are putative risk factors for procrastination. Even so, rigorously tested models explaining Received 10 October 2016 why perfectionistic concerns result in procrastination are scarce. To address this our study proposed, tested, and Received in revised form 16 January 2017 supported a model explaining why perfectionistic concerns give rise to procrastination. This model posits perfec- Accepted 25 February 2017 tionistic concerns generate discrepancies (a subjective sense of falling short of one's own standards), which in turn trigger procrastination. Undergraduates (N = 317) completed measures of perfectionism. The following Keywords: day, participants completed online questionnaires measuring discrepancies and procrastination, twice a day, Perfectionism Discrepancies for seven consecutive days. Model predictions were supported. Perfectionistic concerns had a moderate positive Procrastination association with procrastination. Tests of mediation suggested perfectionistic concerns contributed to procrasti- Daily diary study nation through discrepancies. -
What Is Procrastination?
What is Procrastination? In a nutshell, you procrastinate when you put off things that you should be focusing on right now, usually in favor of doing something that is more enjoyable or that you’re more comfortable doing. According to psychologist Professor Clarry Lay, a prominent writer on procrastination, procrastination occurs when there’s “a temporal gap between intended behavior and enacted behavior.” That is, procrastination is occurring when there’s a significant time period between when people intend to do a job, and when they actually do it. How to Overcome Procrastination Follow these steps to deal with and control procrastination: Step 1: Recognize That You're Procrastinating If you're honest with yourself, you probably know when you're procrastinating. But to be sure, take our Are You a Procrastinator? self test. Here are some useful indicators that will help you know when you’re procrastinating: Filling your day with low priority tasks from your To Do List. Reading e-mails several times without starting work on them or deciding what you’re going to do with them. Sitting down to start a high-priority task, and almost immediately going off to make a cup of coffee. Leaving an item on your To Do list for a long time, even though you know it's important. Regularly saying "Yes" to unimportant tasks that others ask you to do, and filling your time with these instead of getting on with the important tasks already on your list. Waiting for the “right mood” or the “right time” to tackle the important task at hand. -
Procrastination, Dependence and Social Loafing: Comparison in High
Research Article ISSN 2641-4317 International Journal of Psychiatry Research Procrastination, Dependence and Social Loafing: Comparison in High/Low Task Visibility between Active/Passive Procrastinators Shao-I Chiu1*, Tung-Yen Chen2, Tzu-Lang Chang2 and Chao-Yu Chen2 * 1 Correspondence: Associate Professor of Graduate Institute of Professional Development Shao-I Chiu, Associate Professor of Graduate Institute of in Education, DA-YEH University, Taiwan. Professional Development in Education, DA-YEH University, Taiwan. 2Doctoral Student, Major in Education, School of Management, Da- Yeh University, Taiwan. Received: 25 March 2020; Accepted: 30 April 2020 Citation: Shao-I Chiu, Tung-Yen Chen, Tzu-Lang Chang, et al. Procrastination, Dependence and Social Loafing: Comparison in High/ Low Task Visibility between Active/Passive Procrastinators. Int J Psychiatr Res. 2020; 3(2): 1-11. ABSTRACT The purpose of this study included: To investigate the correlation of active / traditional procrastination motivation, dependent personality and social loafing phenomenon, also clarify whether such passive procrastinators like traditional ones with similar motive and test of active / passive procrastinators with different dependent personality and social loafing phenomenon. Explore the relation of group task assignment with social loafing phenomenon. Control group task assignment to compare the social loafing phenomenon variety of active / passive procrastinators with the high / low task visibility. The subjects sampled 221 elementary students. The research tools include procrastination behavior scale, active procrastination scale, traditional procrastination scale, task visibility scale, dependent personality scale, social loafing phenomenon scale and statistical analysis by structural equation model, multi-group analysis, t-test, and ANOVA. The results were: the model of active and passive procrastinator did not have a significant difference. -
Anxiety Disorders
TECHNICAL COMMENTARY Anxiety disorders Introduction excluded from the library. The PRISMA flow diagram is a suggested way of providing Anxiety disorders are a group of mental information about studies included and disorders characterised by excessive fear or excluded with reasons for exclusion. Where no worrying. It is important to recognise comorbid flow diagram has been presented by individual anxiety as it may influence treatment strategies reviews, but identified studies have been and outcomes. described in the text, reviews have been Anxiety disorders include generalised anxiety checked for this item. Note that early reviews disorder, which is characterised by continuous may have been guided by less stringent and excessive worrying for six months or more. reporting checklists than the PRISMA, and that Specific phobias are characterised by anxiety some reviews may have been limited by journal provoked by a feared object/situation, resulting guidelines. in avoidance. Social phobia is anxiety provoked Evidence was graded using the Grading of by social or performance situations. Recommendations Assessment, Development Agoraphobia is anxiety about situations where and Evaluation (GRADE) Working Group escape may be difficult or help might not be approach where high quality evidence such as available. Panic disorder is characterised by a that gained from randomised controlled trials panic attack, which is a distinct episode where (RCTs) may be downgraded to moderate or low a person experiences sudden apprehension if review and study quality is limited, if there is and fearfulness, where they may present with inconsistency in results, indirect comparisons, shortness of breath, palpitations, chest pain or imprecise or sparse data and high probability of choking. -
Decreased Empathy Response to Other People's Pain in Bipolar
www.nature.com/scientificreports OPEN Decreased empathy response to other people’s pain in bipolar disorder: evidence from an event- Received: 28 June 2016 Accepted: 29 November 2016 related potential study Published: 06 January 2017 Jingyue Yang1,2,3,*, Xinglong Hu3,*, Xiaosi Li3, Lei Zhang1,2,4, Yi Dong3, Xiang Li5, Chunyan Zhu1,2,4, Wen Xie3, Jingjing Mu3, Su Yuan3, Jie Chen3, Fangfang Chen1,2,4, Fengqiong Yu1,2,4,* & Kai Wang6,1,2,4,* Bipolar disorder (BD) patients often demonstrate poor socialization that may stem from a lower capacity for empathy. We examined the associated neurophysiological abnormalities by comparing event-related potentials (ERP) between 30 BD patients in different states and 23 healthy controls (HCs, matched for age, sex, and education) during a pain empathy task. Subjects were presented pictures depicting pain or neutral images and asked to judge whether the person shown felt pain (pain task) and to identify the affected side (laterality task) during ERP recording. Amplitude of pain-empathy related P3 (450–550 ms) of patients versus HCs was reduced in painful but not neutral conditions in occipital areas [(mean (95% confidence interval), BD vs. HCs: 4.260 (2.927, 5.594) vs. 6.396 (4.868, 7.924)] only in pain task. Similarly, P3 (550–650 ms) was reduced in central areas [4.305 (3.029, 5.581) vs. 6.611 (5.149, 8.073)]. Current source density in anterior cingulate cortex differed between pain-depicting and neutral conditions in HCs but not patients. Manic severity was negatively correlated with P3 difference waves (pain – neutral) in frontal and central areas (Pearson r = −0.497, P = 0.005; r = −0.377, P = 0.040). -
Interventional Procrastination Strategies for Young Adults in Virtual Settings: a Systematic Review Apr 4, 2021
Interventional procrastination strategies for young adults in virtual settings: A systematic review Apr 4, 2021 Joy Xu, 1 Muntaha Marjia, 2 Kundan Ahluwalia, 1 Dana Kukje Zada, 1 Nazgol Tavakolizadeh, 3 Margaret Dao 1 1 McMaster University, Hamilton, ON, Canada 2 Ryerson University, Toronto, ON, Canada 3 University of British Columbia, Vancouver, BC, Canada Contact Info: [email protected] ABSTRACT Background: The phenomenon of academic procrastination affects nearly 95% of post-secondary students within academias with its association seen in reduced academic performance. Amidst the onset of COVID-19, this systematic review aims to provide insight towards potential virtual interventions to support personal management of academic procrastination for young adults. Methods: The selection procedure followed the Preferred Reporting Items for Systematic Review and Meta- Analyses (PRISMA) guidelines. The protocol was registered with PROSPERO (record ID: CRD42021234243). Studies were reviewed based on a pre-determined and piloted screening tool with study screening and extraction performed independently among two authors. After reconciliation, disagreements were settled by a third author. Study quality was assessed using the Mixed Methods Appraisal Tool (MMAT) in duplicate. Heterogeneity in study designs, outcomes, and measurements precluded meta and statistical analyses; thus, a qualitative analysis of studies was provided. Results: A total of 49 studies were included with identification of two primary web-based interventions for reducing academic procrastination in a mobile app setting. The first intervention involves emotional management through increasing tolerance and modifying negative emotions which determines the activity with the highest likelihood of procrastination each day, and the subject's resilience or the subject's commitment should be emphasized. -
Socio-Emotional Functioning in Bipolar Disorder Versus Typical Development: Behavioral and Neural Differences
Georgia State University ScholarWorks @ Georgia State University Psychology Faculty Publications Department of Psychology 2009 Socio-emotional Functioning in Bipolar Disorder Versus Typical Development: Behavioral and Neural Differences Erin B. Tone Georgia State University, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/psych_facpub Part of the Psychology Commons Recommended Citation Tone, Erin B., "Socio-emotional Functioning in Bipolar Disorder Versus Typical Development: Behavioral and Neural Differences" (2009). Psychology Faculty Publications. 118. https://scholarworks.gsu.edu/psych_facpub/118 This Article is brought to you for free and open access by the Department of Psychology at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Psychology Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. Socio-emotional Functioning in Bipolar Disorder 1 RUNNING HEAD: Socio-emotional Functioning in Bipolar Disorder Socio-emotional Functioning in Bipolar Disorder Versus Typical Development: Behavioral and Neural Differences Erin B. McClure-Tone Georgia State University McClure-Tone, E. B. (2009). Socio-emotional functioning in bipolar disorder versus typical development: Behavioral and neural differences. Clinical Psychology: Science and Practice, 16(2), 98-113. DOI: 10.1111/j.1468-2850.2009.01150.x Socio-emotional Functioning in Bipolar Disorder 2 Abstract Socio-emotional dysfunction is a core feature of bipolar disorder (BD) across the lifespan. Recent evidence indicates associations between this atypical functioning and the presence of neurally-based anomalies. This article critically reviews the literature on two types of core socio- emotional skills that may represent endophenotypes for BD, with a focus on differences between individuals with BD, both youth and adults, and their typically developing peers. -
Young Mania Rating Scale (YMRS)
PATIENT EDUCATION TOOLS Young Mania Rating Scale (YMRS) OVERVIEW The Young Mania Rating Scale (YMRS) is one of the most frequently utilized rating scales to assess manic symptoms. The scale has 11 items and is based on the patient’s subjective report of his or her clinical condition over the previous 48 hours. Additional information is based upon clinical observations made during the course of the clinical interview. The items are selected based upon published descriptions of the core symptoms of mania. The YMRS follows the style of the Hamilton Rating Scale for Depression (HAM-D) with each item given a severity rating. There are four items that are graded on a 0 to 8 scale (irritability, speech, thought content, and disruptive/aggressive behavior), while the remaining seven items are graded on a 0 to 4 scale. These four items are given twice the weight of the others to compensate for poor cooperation from severely ill patients. There are well described anchor points for each grade of severity. The authors encourage the use of whole or half point ratings once experience with the scale is acquired. Typical YMRS baseline scores can vary a lot. They depend on the patients’ clinical features such as mania (YMRS = 12), depression (YMRS = 3), or euthymia (YMRS = 2). Sometimes a clinical study entry requirement of YMRS > 20 generates a mean YMRS baseline of about 30. Strengths of the YMRS include its brevity, widely accepted use, and ease of administration. The usefulness of the scale is limited in populations with diagnoses other than mania. The YMRS is a rating scale used to evaluate manic symptoms at baseline and over time in individuals with mania. -
Haematological and Biochemical Differences Between Mania and Euthymia
Eur. J. Psychiat. Vol. 30, N.° 3, (163-171) 2016 Keywords: Mania; Inflammation; Haemodilution. Haematological and biochemical differences between mania and euthymia Köse Çinar Rugüla,* Görgülü Yasemina Sönmez Mehmet Bülenta Kahyaci Kiliç Evnurb a Assistant Professor, MD, Department of Psychiatry, Trakya University Faculty of Medicine, Edirne b MD, Department of Psychiatry, Trakya University Faculty of Medicine, Edirne TURKEY ABSTRACT – Background and Objectives: The effects of transient hypothalamic dys- function on the hypothalamic-pituitary-adrenal and hypothalamic-pituitary-thyroid axes can be shown by haematological and biochemical parameter changes. We hypothesized that manic episodes will be associated with subclinical inflammation, haemodilution and altered thyroid functions compared to euthymic states. Methods: Patients admitted to the psychiatry clinic with manic episodes were identified. Those having comorbidities, except for thyroid dysfunctions, hypertension, hyperlipidemia, and type 2 diabetes mellitus, were excluded. Complete blood counts, total protein, albumin, and thyroid tests were recorded during the admissions (manic episodes) (Maletic, 2014 #24) and one year later (euthymic states) for the same patients. Results: All studied parameters had significant differences between mania and euthymia. During manic episodes, patients had higher peripheral inflammatory indices (neutrophil/lym- phocyte ratio and platelet/lymphocyte ratio), haemodilution (lower haemoglobin, haemat- ocrit, total protein, and albumin), higher thyroxine and lower thyroid-stimulating hormone levels compared to euthymic states. Conclusions: This study supports the hypothesis that compared to euthymic states; manic episodes are associated with low-grade inflammation, haemodilution and thyroid function abnormalities. Monitoring patients’ blood compositions could result in better prognostic evaluations and aid in determining additional systemic treatment options, as well as in generating causal hypothesis to be tested in future studies.