Evidence map›Paper›PMID 38636082›Full record

ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)2024

Comparison of opioid use disorder patients with and without problematic internet use in terms of impulsivity and attention deficit hyperactivity disorder.

Neşe Burcu Bal, Bahar Yeşil Örnek

Abstract readComparative Study
In one paragraph

Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Neşe Burcu BalDr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital Psychiatry Clinic, Ankara, Turkey.
Bahar Yeşil ÖrnekDr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital Psychiatry Clinic, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate attention deficit and hyperactivity disorder (ADHD) symptoms and impulsivity among individuals diagnosed with opioid use disorder (OUD) who also exhibit symptoms of problematic internet use (PIU).

methodsThe study involved the participation of 360 patients with OUD enrolled at an alcohol and drug addiction treatment center (ADATC) from October to December 2022. Various assessment tools were administered, including Young's Internet Addiction Scale (YIAS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Barratt Impulsiveness Scale (BIS), and Adult ADHD Self-Report Scale (ASRS). PIU was identified by YIAS scores equal to or exceeding 50.

resultsMost participants diagnosed with OUD had comorbid PIU, with high levels of depression, anxiety, and ADHD symptoms. Both BDI and BAI scores were significantly increased in the PIU group compared to the non-PIU group (p < 0.001). Significant differences were observed in BIS Motor Impulsivity, Attentional Impulsivity, and total scores, indicating higher impulsivity in the PIU group (all p < 0.001). Additionally, higher ASRS scores were found in the PIU group (p < 0.001).

conclusionThese findings highlight the importance of addressing PIU and comorbidities in OUD treatment. Interventions targeting ADHD symptoms and emotional well-being may benefit PIU management.

Indexed as

Attention Deficit Disorder with HyperactivityImpulsive BehaviorInternet Addiction DisorderOpioid-Related DisordersPsychiatric Status Rating ScalesAdolescentAdultAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedSelf ReportYoung Adultattention deficit hyperactivity disorderimpulsivityopioid use disorderProblematic internet use

Identifiers

PMID38636082
PMCPMC11474435

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.