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Record W2727564699 · doi:10.22365/jpsych.2017.282.156

Impulsivity as an immediate factor between addictive disorders and Attention Deficit-Hyperactivity Disorder

2017· article· en· W2727564699 on OpenAlexaff
Helen Lazaratou, Assimina Palaiologou, Dimitris Anagnostopoulos

Bibliographic record

VenuePsychiatriki · 2017
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsImpulsivityPsychologyAddictionEndophenotypeAttention deficit hyperactivity disorderClinical psychologyComorbidityPsychiatryDevelopmental psychologyCognition

Abstract

fetched live from OpenAlex

Impulsivity is a behavior in everyday life of mentally healthy individuals. But in some cases the degree of impulsivity begins to create negative effects on one's life and acquires pathological connotation. Two clinical entities in which can be observed a high degree of impulsivity is Attention Deficit Hyperactivity Disorder (ADHD) and Addictive disorders. In these disorders, both impulsive act and impulsive choice are observed. According to some researchers, genetic factors are involved in the control of impulsivity. The impulsive choice, in the sense of delay discounting, may be an intermediate phenotype or endophenotype that contributes to vulnerability with respect to specific disorders in which impulsivity plays a central and decisive role. Another group of researchers argue that ADHD is one of the expressions of a more generalized disorder, known as reward-deficiency syndrome. In this syndrome, it is included increased frequency of addictive disorders. On the other hand, some researchers argue that ADHD in adolescence does not increase the likelihood of developing dependencies, when it is not accompanied by comorbidity of conduct disorders. Regarding the use of substances, there have been conflicting views in relation to etiopathogenesis of impulsivity observed in the addicted patients and whether this impulsivity precedes or follows the onset of substance use. The element that links ADHD with impaired preoccupation with gambling and has been studied most is also impulsivity. Some researchers theorize that ADHD mediates with the element of impulsivity in the development of disordered involvement with gambling in some patients. The positive correlation between impulsivity and addiction to gambling arises, whether behavioral scales or questionnaires about personality have been used. Moreover the higher measured impulsivity of the patient, the more serious are the symptoms of dependence. Abnormalities in neurotransmitter systems have been found both in patients with dependence on gambling, as well as in patients with impulsive behavior. It seems that impulsivity in these players is part of their personality and not a transient behavior. The variety of views that exists and the debate surrounding this issue reflects the multidisciplinary nature of the phenomenon of impulsivity, when found in dual diagnosis of Attention Deficit/Hyperactivity Disorder and Addictive Disorder. It is important for patients with ADHD or any form of addictive disorder, presenting for treatment, to assess the degree of their impulsivity and to investigate the possible comorbidity with other mental health problems, in which impulsivity plays a central role.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.337
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2017
Admission routes1
Has abstractyes

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