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

Authors Abbasi-Ghahramanloo A, Janani L, Malakouti SK, Rabetian M, Rimaz S

Received 4 July 2019

Accepted for publication 31 July 2019

Published 28 August 2019 Volume 2019:15 Pages 2513—2520

DOI https://doi.org/10.2147/NDT.S221858

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Roger Pinder


Abbas Abbasi-Ghahramanloo,1 Leila Janani,2,* Seyed Kazem Malakouti,3 Mahshid Rabetian,3 Shahnaz Rimaz4,*

1Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran; 2Preventive Medicine and Public Health Research Center, Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran; 3Mental Health Research Center, Department of community psychiatry, Faculty of Behavioral Sciences and Mental health, Iran University of Medical Sciences, Tehran, Iran; 4Radiation Biology Research Center, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran

Correspondence: Shahnaz Rimaz
Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, P.O Box: 14665-354 Shahid Hemmat Highway, Tehran, Iran
Tel +(98-21) 86709
Fax +(98-21) 88052248
Email rimaz.sh@iums.ac.ir

Leila Janani
Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Shahid Hemmat Highway, Tehran, Iran
Tel +(98-21) 86709
Fax +(98-21) 88052248
Email janani.l@iums.ac.ir

*These authors contributed equally to this work

Background: Risk 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.
Methods: This 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.
Results: Four 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.
Conclusion: Results 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.

Keywords: latent class analysis, risk taking behaviors, ADHD, workers

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