Evidence map›Paper›PMID 31695386›Full record

ArticleNeuropsychiatric disease and treatment2019

Risk taking behaviors in relation to Attention Deficit and Hyperactivity Disorder in Iranian male workers: a latent class analysis.

Abbas Abbasi-Ghahramanloo, Leila Janani, Seyed Kazem Malakouti, Mahshid Rabetian, Shahnaz Rimaz

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Abbas Abbasi-GhahramanlooDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Leila Janani *Preventive Medicine and Public Health Research Center, Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Seyed Kazem MalakoutiMental Health Research Center, Department of community psychiatry, Faculty of Behavioral Sciences and Mental health, Iran University of Medical Sciences, Tehran, Iran.
Mahshid RabetianMental Health Research Center, Department of community psychiatry, Faculty of Behavioral Sciences and Mental health, Iran University of Medical Sciences, Tehran, Iran.
Shahnaz Rimaz *Radiation Biology Research Center, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk taking behaviors are a serious risk to the health and safety of workers. The aims of this study were to identify the subgroups of workers on the basis of risk taking behaviors and assess the independent role of ADHD on the membership of participants in each latent class.

methodsThis cross sectional study was performed on 2434 workers. The sample was selected through random cluster sampling from Kaveh Industrial City. All workers completed five sets of checklists and questionnaires. Data analysis was performed using chi-square, Fisher's exact test, and latent class analysis.

resultsFour latent classes were identified; namely, 1) very low risk (65.6%), 2) low risk (27.8%), moderate risk (4.1%) and, high risk (2.5%). After adjusting for other studied covariates, having ADHD significantly increased the odds of membership in moderate risk class (OR=3.42, 95% CI: 2.21 -5.29) and high risk class (OR=3.10, 95% CI: 1.80 -5.34) compared to very low risk class. Also, having anxiety increased the odds of membership in latent class 2 (OR=1.28, 95% CI: 1.02-1.62), 3(OR=2.15, 95% CI: 1.51-3.10) and 4 (OR=2.06, 95% CI: 1.32-3.22) in comparison to class 1. Among all participants, 187 (7.7%) had ADHD and among studied variables, ADHD has the strongest role in the membership of subjects in different classes.

conclusionResults from the present study indicate that 6.6% of the workers fell under moderate or high risk class. Focusing on the treatment of ADHD with considering other comorbid factors such as anxiety may be helpful in designing and executing effective programs to reduce risk taking behaviors among workers.

Indexed as

ADHDlatent class analysisrisk taking behaviorsworkers

Identifiers

PMID31695386
PMCPMC6717848
OpenAlexW2970736473

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.