Use of Alcohol Mixed with Energy Drinks Increases the Prevalence of Driving Violations among Brazilian Truck Drivers-Reference-Cited by-同舟云学术

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Use of Alcohol Mixed with Energy Drinks Increases the Prevalence of Driving Violations among Brazilian Truck Drivers

Published:2020-04-20 Issue:10 Volume:55 Page:1584-1593
ISSN:1082-6084
Container-title:Substance Use & Misuse
language:en
Short-container-title:Substance Use & Misuse

Author:

de Oliveira Lucio Garcia¹²,Eckschmidt Frederico³,Leyton Vilma¹^ORCID,de Carvalho Heráclito Barbosa³^ORCID

Affiliation:

1. Department of Legal Medicine, Ethics and Occupational Health, School of Medicine, University of Sao Paulo (FMUSP), São Paulo, Brasil;

2. Departament of Neuroscience, School of Medicine, Fundação do ABC, Santo André, Brazil;

3. Department of Preventive Medicine, School of Medicine, University of São Paulo (FMUSP), São Paulo, Brasil

Publisher

Informa UK Limited

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Medicine (miscellaneous),Health(social science)

Link

https://www.tandfonline.com/doi/pdf/10.1080/10826084.2020.1750032

Reference46 articles.

1. Energy drinks mixed with alcohol: are there any risks?

2. Energy Drink Use Patterns Among Young Adults: Associations with Drunk Driving

3. Sociodemographic correlates of energy drink consumption with and without alcohol: Results of a community survey

4. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index

5. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of truck driver persona construction for safety management;Accident Analysis & Prevention;2024-10

2. A Review of Truck Driver Persona Construction for Safety Management;2024

3. Association between self-reported food intake and subjective sleep quality among truck drivers in a city in Southern Brazil;Dialogues in Health;2023-12

4. Analysis of truck drivers’ unsafe driving behaviors using four machine learning methods;International Journal of Industrial Ergonomics;2021-11

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