Background: Coronavirus disease 2019 (COVID-19) is a life-threatening disease that has spread globally and received international concern. Iran is one of the countries severely affected by this pandemic, implementing social lockdown and restrictive strategies. According to Persian medicine, restrictions like quarantine have psychological and social consequences. Objectives: This study aimed to investigate the relationship between sleep quality and anger behaviors in Iran and compare it with Persian medicine viewpoints. Methods: In this cross-sectional study, 739 participants were interviewed in April 2020 in Shiraz, Iran. The questionnaire included the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Anger Inventory (MAI), and items on demographics, temperament, and the quarantine situation social factors. All participants completed the questionnaires willingly and were ensured of data confidentiality. Results: We found that 58.3% of the participants had low sleep quality. Females showed higher scores on anger and its related aspects (P < 0.05). In addition, people with lower education and income levels revealed higher anger scores (P < 0.05). Moreover, the mean scores of anger and its related factors were higher in participants with low sleep quality, higher sleep latency, daytime dysfunction, and experience of using sleep medications (P < 0.05). Also, after adjustment for demographics and other social factors, the mean scores of anger and all of its aspects were higher in those with a sleep disorder, use of sleep medications, and daytime dysfunction (P < 0.05). Conclusions: In conclusion, our findings illustrated that various factors, including low sleep quality, are associated with anger in individuals with the experience of home quarantine during the COVID-19 outbreak. The outcome is compatible with Persian medicine evidence.
Background: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the neurodevelopmental disorders which is characterized by low focused concentration, distractibility, reduced self-regulation, and hyperactivity. They experience high rates of sleep and mental problems. Accordingly, the aim of this study was to investigate anxiety, depression, stress, and sleep among professional adult drivers with ADHD in an Iranian sample.Method: in this cross-sectional study, 547 professional adults drivers with ADHD that affirm their disorders by Conner adult ADHD rating scale (CAARS) complete survey that provides demographic data, Pittsburgh Sleep Quality Index (PSQI) for assessing quality of sleep, and DASS 21 survey to evaluate Depression, Anxiety and Stress Scale.Results: professional adult drivers with ADHD reveals a significant association of anxiety, depression, stress with poor sleep quality. Among these drivers, Poor quality of sleep was substantially associated with driving at night (P=0.039), but no substantial correlation was found with age, marital status, education, a model of car, and daytime driving (P>0.05). Conclusion: Given the significant correlation of anxiety, depression, stress, and ADHD with low quality of sleep, ADHD drivers may be a potential preventive measure that contributes to the identification of vulnerable drivers in terms of psychological state and improvement of their quality of sleep by setting acceptable rules for juggling working hours and supporting acts.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.